Capacity Building in Digital Health

20 Feb 2026 14:00h - 15:00h

Capacity Building in Digital Health

Session at a glanceSummary, keypoints, and speakers overview

Summary

The panel discussed how digital health and artificial intelligence can reshape healthcare workforce capacity across India and globally, emphasizing the need for mindset change alongside technology adoption [9][4-8]. Dr. Rajiv highlighted that community pharmacy has lagged due to social structures, but pharmacists could play a pivotal role throughout the retail and supply chain if professional attitudes shift [4-8]. Dr. Sarvajit Kaur explained that the Indian Nursing Council has embedded AI and digital health into the BSc nursing curriculum since 2021, making five simulation labs mandatory and providing VR and mannequin equipment to build competencies [11-14]. To address limited clinical exposure, the council introduced computer labs with a one-computer-per-five-students rule, trained about 2,000 faculty on simulator use, and established two national reference simulation centers [17-20][26][24-25]. The regulator also links digital competency to continuing education, tying 150 CNE hours to licence renewal and offering a six-month professional digital nursing course, while developing an online registration system for nurses [29-33][31-34].


Dr. Suresh Yadav warned that global shortages of healthcare workers cost roughly 10-12 million jobs and about 15 % of world GDP, exacerbated by climate-health impacts [53-55][57-58]. He argued that AI-driven solutions, such as health-ERP systems, could enable a single clinician to serve many more patients and reduce fragmentation in India’s siloed health ecosystem [78-86]. Yadav also described tele-health platforms that allow doctors to consult across borders, suggesting India could connect its 1.5 billion residents and the diaspora with global expertise [88-92].


Speaker 1 stressed that technology companies must design AI tools that scale in complexity to match varying digital maturity of hospitals, citing their EISU platform that adapts from basic monitoring to advanced decision support [108-118][119-121]. He called for health-tech firms to co-create curricula with institutions like the Academy of Digital Health Sciences to embed hands-on digital skills in future health workers [122-124].


Anish introduced the concept of “innovation pipeline management” for governments, proposing that policymakers be trained to re-imagine solutions-illustrated by an AI-based TB detection tool that increased case finding by 25 % [153-172][173-176]. He suggested a stage-gate process similar to DARPA’s, where ideas are tested, validated, and then scaled by policymakers [179-184]. Dr. Rajiv noted that curriculum regulations set minimum standards but allow institutions to add innovative subjects such as programming, and cited remote-surgery training as an example of rapid upskilling for older practitioners [128-138][208-212]. Concluding the session, Dr. Gupta announced the launch of a Global AI Academy to train health professionals, underscoring that changing mindsets, not just platforms, is essential for widespread digital health adoption [226-234].


Keypoints


Major discussion points


Mind-set change is the primary barrier to adopting AI and digital health across the health-care workforce.


Dr. Rajiv stresses that “the biggest possibility… is for pharmacists… … the change is happening but it will take more time because it’s a professional and mindset change” [6-8]; Dr. Gupta echoes this, calling it “more about mindset change than just technology” [9]; Dr. Sarvajit adds that “this has to be a change of mindset” when introducing expensive simulators [22-24].


Regulators are embedding digital health and AI into nursing education and continuing professional development.


The Indian Nursing Council revised the BSc curriculum in 2021 to build digital competencies, made five simulation labs mandatory, and equipped labs with VR and mannequins [11-13]; it also set faculty-training programmes (≈2,000 faculty) and linked digital-health courses to C & E hours and registration renewal [24-27][31-33].


Digital and AI solutions are presented as the fastest way to close the global health-workforce shortage and to overcome fragmented health-system silos.


Dr. Suresh Yadav quantifies the shortage cost (≈15 % of global GDP) and links it to climate-health challenges [50-58]; he then proposes “low-hanging fruit… digital solutions” and AI-driven “one doctor serve 10 people” models to multiply workforce capacity [77-81]; he also cites remote-surgery up-skilling as a concrete example of rapid capability shift [208-212].


Policy makers and pricing models need a new “innovation-pipeline” approach to fund and adopt digital health at scale.


Anish argues that politicians must be educated on how new tools reshape outcomes, proposing a DARPA-style stage-gate system for testing and scaling innovations [153-162][176-184]; Dr. Gupta raises the practical issue of pricing digital-health products for the Indian market [191].


Technology companies and entrepreneurs must co-design scalable, complexity-adaptive solutions and help train the next-generation workforce.


Speaker 1 outlines a design principle: products should “scale in complexity” to match an institution’s digital maturity, citing their EISU platform that ranges from basic vitals to advanced decision support [112-118][119-124]; Dr. Gupta later announces the launch of a Global AI Academy to institutionalise such capacity-building [226-233].


Overall purpose / goal of the discussion


The panel aimed to diagnose why India’s health-care workforce (pharmacists, nurses, regulators, and senior clinicians) is lagging in AI adoption, and to chart a coordinated roadmap that combines curriculum reform, regulatory incentives, industry-driven technology design, and policy-level innovation pipelines to build a scalable, digitally-enabled health-care ecosystem both nationally and globally.


Overall tone and its evolution


Opening (0:00-2:00): Cautiously analytical – participants identify structural barriers (mind-set, remuneration, social structure) and acknowledge the need for change.


Mid-session (2:00-13:00): Shifts to an optimistic, solution-focused tone as regulators describe concrete curriculum changes and Dr. Yadav paints a visionary picture of AI-driven capacity expansion.


Later segment (13:00-25:00): Becomes more pragmatic and slightly urgent, discussing concrete implementation challenges (faculty gaps, pricing, political education) and proposing concrete frameworks (innovation-pipeline, simulation centres).


Closing (25:00-34:38): Returns to an enthusiastic, forward-looking tone, highlighted by the launch of the Global AI Academy and repeated affirmations that “it’s never about the platform, it’s about the mindset,” ending on a celebratory note.


Overall, the conversation moves from problem-identification through strategic proposals to a rallying call for collective action.


Speakers

Dr. Rajiv


– Title: Dr.


– Role: Discusses pharmacy education, community pharmacy, and regulatory aspects of the pharmaceutical sector.


– Area of expertise: Pharmacy, pharmaceutical education, health workforce development.


Dr. Gupta


– Title: Dr. (Rajendra Gupta)


– Role: Chair of the Dynamic Coalition on Digital Health; Chair of the Commonwealth AI Consortium for Capacity Building across the Commonwealth.


– Area of expertise: Digital health, AI policy, health technology leadership. [S21]


Dr. Sarvajit Kaur


– Title: Dr.


– Role: Secretary of the Indian Nursing Council, representing 2.2 million nurses.


– Area of expertise: Nursing regulation, digital health integration in nursing education. [S4]


Dr. Suresh Yadav


– Title: Dr.


– Role: Executive Director, Commonwealth Secretariat; former advisor to the President of India; works on AI and health policy.


– Area of expertise: AI, digital health, global health policy, Commonwealth initiatives. [S11][S12]


Dr. Freddy


– Title: Dr.


– Role: Faculty member concerned with AI training for senior educators.


– Area of expertise: Medical education, AI adoption in academia.


Anish


– Title: –


– Role: Expert in digital health, involved in the Digital Health Parliament and global leadership initiatives.


– Area of expertise: Digital health innovation, policy, technology entrepreneurship. [S23]


Speaker 1


– Title: –


– Role: Technology entrepreneur discussing DTX and capacity building for health-tech startups.


– Area of expertise: Health-technology entrepreneurship, AI-driven health solutions.


Speaker 2


– Title: –


– Role: Audience participant/entrepreneur asking about mental-health platforms and pricing strategies for India.


– Area of expertise: Digital-health product scaling, pricing strategy.


Speaker 3


– Title: –


– Role: Participant mentioning a consortium of innovative healthcare universities.


– Area of expertise: Healthcare-education collaboration, university consortia.


Additional speakers:


(none)


Full session reportComprehensive analysis and detailed insights


The panel opened with Dr Rajiv highlighting that the chief obstacle to embedding artificial intelligence (AI) and digital health in India’s health-care workforce is a pervasive mind-set barrier, not a lack of technology [6-8]. He explained that community pharmacy has lagged because social structures limit pharmacists’ ability to serve the “last-mile” of the value chain [4-8]; overcoming this gap, he argued, requires strong change-management and a shift in professional attitudes rather than merely new tools. Dr Rajiv also noted that the Pharmacy Council of India (PCI) sets only minimum curriculum standards, allowing institutions to add innovative subjects such as AI, innovation or management [133-141].


Dr Gupta reinforced this view, stating that the challenge is “more about mindset change than just technology” [9] and later responding to a question from Dr Freddy by observing that “age is not a thing, it’s a mindset thing” [219-220].


Dr Sarvajit Kaur described how the Indian Nursing Council (INC) has embedded AI and digital health into the BSc nursing curriculum since 2021, making five simulation labs mandatory and equipping them with VR, high-fidelity mannequins and other tools [11-14]. To address limited clinical exposure, the INC instituted a one-computer-per-five-students rule and set up computer labs across nursing schools [17-20]. Two national reference simulation centres (Gurgaon and Bhagalkot) were created, and around 2,000 faculty members were trained on simulator use [24-27][26]. Continuing professional development is linked to digital competence: 150 CNE hours are now required for licence renewal, a six-month professional digital nursing course has been launched, and an online registration system integrates these opportunities [29-34]. The Digital Health Academy is being leveraged to develop a longer-duration (one- to two-year) specialised programme for health-tech up-skilling [29-34].


Dr Suresh Yadav quantified the global health-workforce shortage (≈10-12 million jobs) and its economic impact (≈15 % of global GDP, about $120 trillion) [50-55]. He linked the shortage to climate-health challenges and highlighted the fragmentation of health systems in the U.K. and India [57-58]. Yadav presented AI-enabled health-ERP systems as a “low-hanging fruit” that could allow a single clinician to serve ten patients, thereby reducing fragmentation and expanding capacity [77-81][78-86]. He expressed confidence that the Government of India can drive this transformation [78-86].


Speaker 1 (technology entrepreneur) introduced the design principle of “scalable complexity,” illustrating it with the EISU platform that can evolve from basic remote-vital monitoring to advanced clinical decision support as an institution’s digital maturity grows [112-124]. He called on health-tech firms to co-design curricula with bodies such as the Academy of Digital Health Sciences, embedding hands-on digital skills in future health workers [122-124].


When pricing of digital-health products for the Indian market was raised, Speaker 2 noted that successful U.S. models have struggled to translate to India and asked for guidance on affordable scaling [187-190]. Dr Gupta deferred to a previous GDHS session on pricing, indicating that a detailed answer was not provided in the current forum [191].


Returning to curriculum reform, Dr Sarvajit warned that formal curriculum changes occur only once a decade, making CME/CNE mechanisms essential for up-skilling the existing four-million-strong nursing workforce [126-130]; the linkage between continuing education and digital competence is reinforced by the earlier cited nursing reforms [29-34].


Dr Rajiv then explained that drug inspectors and regulators are being up-skilled on modern medical devices and AI-enabled tools, citing remote-surgery training as an example of legacy clinicians acquiring new competencies [208-212]; broader regulatory up-skilling is ongoing [215-218].


Anish proposed an “innovation-pipeline management” model for governments, modelled on DARPA’s stage-gate process: define the problem (e.g., TB under-diagnosis), fund ambitious AI solutions, test them through successive gates, validate successful pilots, and scale via policy [153-162][178-184].


During the audience Q&A, Speaker 1 observed a surplus of health-tech ideators but a shortage of executors, prompting Dr Rajiv to reiterate that institutions can add innovative subjects (programming, AI, management) beyond PCI minimums [128-141]. After a question from Dr Freddy, Dr Gupta emphasized that “it’s never about the platform, it’s about the mindset,” reinforcing the panel’s central theme.


In the closing minutes, Dr Gupta announced the launch of the Global AI Academy, positioning it as a cross-disciplinary AI training platform and urging immediate action to embed AI literacy across the health ecosystem [226-234].


In sum, the panel agreed that unlocking AI’s potential in Indian health-care hinges on coordinated mindset shifts, continuous up-skilling, regulatory flexibility, and scalable, ecosystem-oriented technology design.


Session transcriptComplete transcript of the session
Dr. Rajiv

Just by choice, very small fraction would probably take it by choice. Still people want to do jobs in manufacturing or R &D in the pharma companies. So that’s a big factor which we have to solve, which ultimately falls into the remunerations which people get, the future potential of your profession and all that. The community pharmacy in reality has not picked up in this country because of the social structure which we have. Otherwise, the capacity building for anything to do with healthcare, these pharmacists, community pharmacists have to play a very strong role. If you see doctors, nurses, other health technicians, you will find them concerned. They are concentrated in hospitals. But in the society, if you see the spread, the most…

basically the the biggest possibility is for any profession in health care it is for pharmacists through the whole retail chain distribution supply chain management and they are the people who can actually contribute up to the last mile of the value chain so this this needs a strong change management the the change is happening but i think it would take some more time because it’s a professional and mindset change and thinking change for pharmacists

Dr. Gupta

thank you so much i think very important point that it’s more about mindset change than just technology uh dr sarvajit kaur we are very fortunate to have you with us as the secretary of the indian nursing council you represent 2 .2 million nurses and more probably if we account for every registration is three so which is like 10 percent of the world’s nurses how are nurses coping up with the changes in technology with regards to health care and what are you doing at inc

Dr. Sarvajit Kaur

Thank you, Dr. Gupta, for this question and for this opportunity to be here in this esteemed panel. So to answer your question from the regulatory point of view, we have tried to integrate the AI and the digital health into the basic nursing curriculum. We had a change of the BSc nursing curriculum in 2021, and we have started by putting the emphasis on building competencies through the digital health and AI. So five simulation labs have now become mandatory. We have given lab equipments, the list of mannequins, VR, etc., that can be used to build up competencies, because we are also seeing that the clinical facilities that are out there for the nursing students to build up those competencies is becoming limited.

We are having almost 2 .5 lakh nursing students getting passed out. for GNM and BSc, like both getting registered as registered nurses, registered midwife. So we have started from scratch, if I can say so. We have started with computer education. We have given guidelines like for every five students, there should be one computer. We have given computer labs right out there. And we have also worked towards faculty preparedness. So there is, you know, complete adoption, like, you know, the panelists brought out. This has to be a change of mindset. So even if you have these expensive equipments out there, how do you use them and not just keep them in the cupboards, you know, safe as an inventory articles?

So we have started with two national reference simulation centers, one in Gurgaon and the other one just recently opened last two months back in the south, Bhagalkot. And we started with. Faculty preparedness. For the Gurgaon NRSC, we have trained around 2000 faculty on how to use these simulators for each and every nursing student. So what as a regulatory body we are looking is for each and every nursing student to embrace the digital technology as she is working to be a nurse to build up her competencies. And even for in -service, we are linking it up. As you’re aware, with a lot of push from your side, we’ve had this professional digital nursing course of six months, which a lot of takers are there in nursing who are wanting to do this.

But I think we need much more courses like that. We are linking it to C &E hours. We have also brought out our online registration system for the nurses, which again, we are trying to link it with all these. Kinds of opportunities for them. So more nurses benefit out of it. and in the abroad if you see we are having you know these chief technical nurses also now what you know trying to resolve issues like staffing, prevention falls, policies to improve nursing so I think we here also in India need to do a lot in terms of policies to empower every A &M who is working in the rural or every community health officer who’s working in the Arogya Mandir’s or every nurse who is wanting to do better for her patients in the super specialized hospitals there’s a lot more to be done.

Thank you.

Dr. Gupta

Thank you so much it’s very exciting to see how you have moved to bring digital courses to nurses and the offtake for that and I also keep hearing very positive feedback on this opportunity for nurses. Thank you so much. Now I move to Dr. Suresh Yadav who I’ve known as someone who not just ideas the future but creates the future so working with the President of India whether he went to World Bank whether he’s in Commonwealth even in Commonwealth years back you put the agenda of AI as a high priority. What is your work and role today at Commonwealth’s vision for the 56 member nations and more so for the small island states?

Dr. Suresh Yadav

Thank you. Thank you, Professor Gupta, and thank you for your leadership in this very important stage. He has been working in this Digital Health, Digital Health Parliament and global leadership when the world was not thinking. So it’s a great, great contribution by you to the system because digital has taken a frenzy only during the COVID and the post -COVID. Before that, it was just like a digital e -government systems around the world. Now, before I say anything, I’ll be very general in comment on the global level and then touching a little bit on the ground level. What did cost the global ecosystem? Anish described when there was a financial crisis. What global south at that point of time called a crisis triggered by the global north.

I mean, naming that particular country. So there, and he described how beautifully President Obama. steered the United States out of that very complicated and complex situation. Now, if you look at the shortages of the healthcare professionals to the global economy, what it costs, shortage is one part, it’s number. Maybe somewhere 100 ,000 people short, somewhere more number. What are the global implications? So the economic cost of these shortages of the healthcare workers, which is around, in all the categories, around 10 to 12 million, almost costs 15 % of the global GDP. And you can imagine that 15 % of the global GDP of $120 trillion economy. So it’s a huge, huge cost, just because we don’t have people. It has a multiplier effect, and it’s leading to the cascading effect on the various other segments of the society.

The other thing which is happening is that the healthcare workers are not getting paid. the global temperature rise, if you look at the climate and health, there is a latest Lancet report which brings very beautifully how the climate is driving health and leading to a different kind of a challenging situation. But also on this other side, I wanted to say that how health system is also contributing to the climate because one of the largest emitter on the planet. Now, given this situation, we know that so much is the shortages of the healthcare professionals and the nurses shortage is so much that Anisha will know better than I know that the US has a special visa for the nurses.

You may have a computer science degree but may not get a visa. But if you have a nurse experience certificate, you get a visa. So that is the level of the challenges which the world is facing. Now, we know that this is a challenge. What do we do? How do we do? How do we move forward? The other… Before I go to that, the other challenge is the aging population. If you look at Japan, if you look at the Nordic countries, the aging population number is rising. There are not many people to take care of that. Even if I have to get a health care worker in my village in eastern Uttar Pradesh, it’s so difficult.

Even if you want to pay the money, there are no people to serve you. So what do you do? One is, of course, the obvious solution that you train more number of people because there are a lot of people who are looking for the job. It’s not that people are not there. So how do you ramp up that capacity? I know in India, for creating a nursing school, you need to have hospitals, hospitals, and there are so many challenges in spite of setting up a lot of hospitals in the country. So one low -hanging fruit is the digital solutions. And on the top of that digital solution now is AI solution. Can I make one doctor serve 10 people?

Can I make one health care worker serve more than 5 times, 10 times more using the technologies management of the… system using the healthy ERP like multinational enterprises? are doing. The whole system is fragmented in the healthcare system. It should be in that ecosystem. The one good thing about the U .S. is that the doctor, the pharmacy, everybody is connected. So that at least fragmentation is not there in the U .S. system, but that fragmentation still exists in the U .K. system. But in India, that silo is very much there. So even if using this health ERP on the lines of corporate ERP, we are able to fix it, I think that will be a transformative approach of creating a very ecosystem approach where the health workers, the doctors, the nurses, those who want to volunteer and contribute, they will be all connected.

So that is one quick fix solution I see. The other I see that in the global market, and this was my pet project that particularly came out from the post -COVID that there are doctors who want to do more, but they have challenges. So how do you connect? a global or doctors without borders how can an Indian doctors so a patient in Kenya rather than Kenyan or Tinjanian patient traveling to India or if they have to travel they should travel only small portion rather than a big big time of two months three months so these technologies offers you that you can have your scans remotely you can upload send to doctor have all the diagnostic except the procedure which you are required to be there so it’s it’s not only a country health ecosystem but also a global health ecosystem which can which can be made available using the technologies and and then and I see that using that approach any best hospital or doctor the United States can be accessible to a patient in India or vice versa because a lot of Indian wants to consult a doctor in India my wife was in the US for 10 years is still believe in the Indian doctor and wants to have a medicine from India and this one so So 2 million, 20 million persons of Indian origin around the world.

So India can connect 1 .5 billion people within the country and 20 million people who still believe that I should have the Indian medicine, I should have the Indian doctors. So this is a huge, huge opportunity for India to take the leadership because you have the manpower, you have a lot of young people who enter the job market looking for the job, and you have the digital technology power. The only question is to putting these two together and make the nursing institutes, the hospital administration, the startups be all the part of the thriving ecosystem. I think if we can do it, we will have, we will really rather recreating or reimagining a healthcare system not only for India but for the entire world.

And this 15 % GDP, this global temperature rise, the climate health nexus, which I can talk about, these still will be a great enablement for the entire world. And I think that the government, the government of India, I think that the government of India will be able to do this. And I think that the government of India will be able to do this. And I think that the government of India will be able to do this. And I think that the government of India will be able to do this. And I think that the government of India will be able to do this. And I think that the government of India will be able to do this.

And I think that the government of India will be able to do this. And I think that the government of India will be able to do this. And I think that the government of India will be able to do this. And I think that the government of India will be able to do this. And I think that the government of India will be able to do this. there will be universal health access cutting across the boundaries not that

Dr. Gupta

within your boundaries but you can have access to rest of the words of the medicine of the supplies of the doctors of the procedures so I’ll stop here on this positive note and over to you thank you thank you so this is very interesting and you know I I always like optimism over technology even if you’re not optimism technology will move fast coming to use all you can’t you are an entrepreneur in technology while dr. Rajiv approved DTX you make DTX you have made amazing

Speaker 1

AI driven technologies what’s your take on capacity building do we have enough capacity to have more entrepreneurs like you we will have ideators like you but not entrepreneurs because we don’t have executors how do you define this thank you Rajiv ji while of course I will be speaking on the on that part of technology as well how we can create entrepreneurs you But I think more to the point that my fellow panelists talked about, I think technology, when it comes to capacity building, technology companies have a significant role because they influence how the current workforce is practicing. And also they influence how the next generation of workforce will get trained. So that way we have a dual responsibility.

And in that sense, I think there’s a design principle that every technology company should keep in mind or any budding entrepreneur should keep in mind. And that is that the way they design their AI or tech solutions, it should be in a manner that is scalable, not in terms of volume, but scalable in terms of complexity. Because if you’re building something. And if you’re providing the healthcare industry with something, then you have to particularly in a. a country like India where you have a diverse spectrum of digital maturity across various institutes. Some hospitals might be digital native, some of them might be completely analog. So in that sense, you have to have a product that hand -holds the healthcare workers through the digital transformation journey.

So the product is able to scale in complexity as the institutes scale in readiness. That’s how we have been building products. As an example, our EISU solution, its functionality ranges from basic remote vital monitoring to more complex smart alerts and advanced clinical decision support systems based on the readiness of the clinicians. And that’s something that every institution needs. So I think that’s something that techpreneurs should keep in mind. impose AI or technology, rather the technology should adapt to the capacity, or rather it should be able to handhold the capacity and pull it up. One more point that I wanted to add was that just like technologists have been creating or co -creating the next generation of workforce when it comes to programmers and innovators, similarly I feel health tech companies have a responsibility in co -creating the next generation of healthcare workers.

So with the academies like Academy of Digital Health Sciences, I think technology companies or specifically health tech companies should come forward and co -design some hands -on courses as well, like the one ma ‘am mentioned, the professional nurses course. So that, we’re able to expose the students early on to

Dr. Gupta

so i’ll have a few two questions to the you know experts before we move to audience questions uh this is to uh first dr sarrajit to you because you’re a regulator you made an important point that you want to change i mean you have already done that by incorporating digital health as a part of the education you know when i was writing the education policy my biggest worry was technology moves with the pace that you can’t change your curriculum every now and then because by the time you go to the academic council governing board new technology has come so you is there a way you’re looking at to make i think you talked about cme but is that the way we should look at looking at training all professions you know adding cmes rather than changing curriculum every now and then because that’s going to be really tough

Dr. Sarvajit Kaur

um curriculum changes normally occurs say once in a decade and that also is a long process when we brought out the bsc nursing change we took almost three years to bring about a change with all the you know there’s a whole process to it including the public amends and bringing about changes so yes at that point of time whatever is the best for the nursing students we have tried to do that but at the same time we also need to understand that there is this like 40 uh lakhs like you know four million nurses already out there in the country in different states whose competencies also need to be built because they are the ones who are working be it in the rural or be it in the specialized hospitals and for this as a regulator we push upon having simulation centers that’s what we are saying one should be in every district so that you know there are some states who have already started taking this like you know we had Nira Maya in Uttar Pradesh and we had Union in Bihar where they are building up these competency centers integrating the digital technology with it certifying it so that and linking it to the CNE so the nurse carries it forward with her there are incentives there for the nurses to come up for these programs and to better integrate this into the health systems a lot needs to be done in this and as you’re also aware with the digital health academy we are now working towards having a one year or maybe a two -year program we are still working that out so when this also comes as a specialization more takers will be there I think it will again disseminate down it’s a mammoth task no doubt.

Dr. Gupta

Dr. Rajiv I wanted to ask you on that point only that you have drug inspectors across the country who were in the conventional you know world what are you doing for them to understand and of course for pharmacists too I want your point.

Dr. Rajiv

So, yeah, so before moving to that, I just had one comment on this one, the curriculum change, right? So this actually point comes again and again in pharma education also. And colleges and teachers say that we are not allowed to change. It is governed by PCI. But always I say one point. See, PCI or anybody which actually sets the courses, they give you the minimum which should happen. They don’t say that don’t go beyond this. So you have all open at the top. Whatever you want to do, you keep this minimum. Plus you go on adding if you want to. So if pharma is not having a course on innovation or management or any modern technology.

Computer programming, PCI doesn’t say that you can’t do it. PCI says that you keep pharma papers over and above this. If I want to keep innovation paper, I’m free to do that.

Dr. Gupta

Rajiv, I’m sure this message will go viral, but the problem is how many people read it in that manner. You know, when we started courses, we put a line. The contents of this course will change based on the developments in the field. And we had really tough time telling that it can be in the prospectus. I said, we have to do that. The field is changing. And that brings me to Anish, because always the problem comes, what do you do to governments? You know, when you’re talking of technology, we can have regulators change it. We can have, you know, councils change it. But how do politicians get changed? Do we have a crash course for them?

Anish

Well, so here is the, there’s a, that’s a spicy question, but let me, let me, let me handle it. Well, this is in the U .S. It was funny when you saw the senators asking Mark Zuckerberg questions that were not very smart. So there was obviously a push to get education about what the technology means. But let me, let me shift that question in a different way. A lot of this assumes that the job to be done is the same. but you’ve introduced new tools so that you train people on how to do the same job but with the new tools. The politician or the policymaker is often focused on the outcome or the objective, the problem to be solved.

And it may be that we spent 10 years doing it this way, we’ve funded it, organized it, and you should be educated on how technology will influence it. But at some point, there’ll be a flip. Hey, I’ve got an entirely new way of solving that outcome. And why don’t we reorganize this whole thing that takes advantage of new capacity that wasn’t possible but for the technology? Earlier in this conference, we heard from Sunil Wadwani from the Wadwani Foundation. He talked about tuberculosis deaths, half a million deaths. And he said a portion of those deaths come from individuals. Who obviously get later, you know, they’ve been detected later. And then others, they dropped off their medications too early.

So you’ve got these sort of error rates on both sides. And so you have a nurse or someone in the community, asha workers, someone helping, engaging. And so you could think about politicians saying, okay, do I have to fund a new program to do this technology? Or it turns out they’ve come up with an entirely new AI -based detection system, and they found 25 % more tuberculosis cases, not because they’ve educated, but they’ve introduced a whole new concept that you can change the diagnosis model through voice. You cough into a phone and it tells you, I’m paraphrasing what I heard earlier today. So this is the moment where the more we have flexibility in the political dilemma, dialogue, and some say this is zero -based budgeting that’s changed the way we fund our government.

There are lots of policy debates. but if you start with the principle that there’s a problem to be solved, we have too many people dying from tuberculosis too early. Now, let me say, look, we’ve got programming and funding and staff and people that do things to do this, but now a new technology shows up that allows me to think of this in an entirely new way and only possible to implement the strategies that come from this because it exists. That is a whole level of training that’s not training, oh, here’s how the buttons work. That is connecting the dots on what the capacity is to fundamentally reimagine the way to go about this. And so not to go back to capacity building, but I have coined this term innovation pipeline management in government.

DARPA, very famously, it’s our research arm in the U .S. government, sets ambitious but achievable targets and then lets professors, entrepreneurs, innovators sort of come up with ideas. And so you want to have… You want to have a stage gate to test ideas. You want to test more ideas. Then some of them graduate to the next stage and then you want to sort of validate those successes. And then you want policymakers to scale the ideas that work. and so I think your question was meant to it was sort of funny, the politicians need to be trained but there’s also some seriousness which is it can also be the vehicle by which we fundamentally re -imagine the way to go about it and then that brings a whole new cycle.

So that’s the positive side of

Dr. Gupta

Thank you Anish so much and now let’s get to the public questions so any audience questions yeah, you first

Speaker 2

Hi Anish, thank you for your inputs as someone who has been as an entrepreneur, also coming from a Catholic background, researching brain and AI and has spent a lot of time in the US, last four years in US and India. Be specific to the question because we have less time here. Context to what you were saying, the need for the digital portions. So if somebody has come up with a solution for mental health, for the professionals themselves, like the nurses and the doctors what would be a good platform because right now it’s like you educate them for the need of it and then the skills and the outcome get measured. what will be a better way to scale this because the need is there we see it we work with kids also doing that and we see the same need for professionals as well right and it’s contextualized to the Indian context as well what will be the good platform to sort of take this to scale when such needs exist with all professions as well I do have a separate question on the pricing with India so as two ventures that I’ve been part of that have scaled pretty well in the US one of them has become 100 million revenue the other has taken public route in the US but they failed miserably on the pricing here so spending two years up front here we couldn’t get the same product to work at the pricing here so what are your suggestions for how to make pricing work for India when you have the intent to solve for India as well so those are my two questions

Dr. Gupta

because if you go back and look to GDHS session on pricing of digital health you will get a detailed answer from those who build it globally so that will help you solve that problem and the other one does someone want to take an answer it

Dr. Sarvajit Kaur

answering your question from the regulatory point so uh we have for the nurses we have linked 150 cne hours and we have linked it to the renewal of their registration every five years so now nurses have to mandatorily do these courses then only their license will get renewed so there’s a lot of need to have these kinds of courses there are some platforms where these courses are put free of cost inc being one of them this i got this swam so i’m sure there are a lot of opportunities uh for you to you know take up anything that works for the nurses the technical experts have to you know take a look at it to see if it’s okay and then we can take it

Speaker 2

right now it’s developed by doctors for doctors but it can certainly be i’d love to take inputs from you where to take it forward thank you

Dr. Gupta

after this dr freddy yeah

Dr. Freddy

thank you very much uh uh my very simple question is that i am born before technology and suddenly bombarded with the last four five years you and the times are like this the fate is this that i’m from best colleges being a faculty and now join era medical colleges need faculty medicine and suddenly this institution is in a hole into ai now people like me who worked with mci and the curriculum has already been changed but believed me that nothing has changed because i actually had a audition also my question is that how are you emphasizing in future there are people who are supposed to implement ai people who are supposed to train these people in gen z now who themselves have no between so there’s a dilemma between them do you have any solution for that so that at least people who have been trained now are being trained by people who are inverted commas not trained that’s my worry

Dr. Gupta

so i will ask around in one minute

Speaker 1

sure yes so uh I think there are still people far and few in between who can be those ambassadors for change. It’s just a matter of giving them the tools, being able to, you know, get them on the platform of university or digital health sciences academy so that they’re able to train or build capacity at scale. That’s the only way. Otherwise, we don’t have enough people to do it one on one or, you know, in a physical capacity. We have to use virtual tools even for that. And at the same time, I think there shouldn’t be a bar at offer, you know, a certain experience or a number of years of teaching for these kind of courses.

So this has to be age agnostic, I feel.

Dr. Gupta

Rajiv, 30 seconds for you and then we have to close.

Dr. Rajiv

No, we have to close because we are running out of time. We have to launch also one thing. So I think answer lies in the system itself. If I just give one example, remote surgeries. The doctors who were trained 30 years ago, they were not trained on remote surgeries. Today, they are doing remote surgeries. How did they shift? So, I mean, this is something. I don’t think that these trainings and capacity building should be restricted from within the profession. Whosoever is suitable for those trainings, they should be engaged. It’s a continuous process in regulatory system. Our inspectors and drug controllers, they actually are trained into the modern, in basically approving and reviewing these medical devices also.

It was not there when they were appointed. So everybody is getting upgradation and there are systems.

Dr. Gupta

Yeah, and in our courses, we have seen 80%. 80 % of the people. are above 20 years, highest is 50 years after MBBS. So I think age is not a thing, it’s a mindset thing.

Speaker 3

Rajin, I’d also like to add about the consortium of innovative healthcare universities.

Dr. Gupta

We have to launch this and close this session. We have a very strict timing here. And I see that clock ticking up.

Speaker 3

I understand.

Dr. Gupta

So we’re launching the Global AI Academy, which you will see is about training people. You have platforms, it’s not about that. Together, yes. Here we go, something’s happening. There it is, a screen. Oh, that is coming. It’s coming and going. Yeah. So it’s never about the platform, it’s about the mindset. And start now if you have not. Thank you. Thank you very much. A big round of applause. Thank you. Thank you. Thank you. Thank you. Thank you. you Thank you.

Related ResourcesKnowledge base sources related to the discussion topics (34)
Factual NotesClaims verified against the Diplo knowledge base (3)
Confirmedhigh

“The chief obstacle to embedding AI and digital health in India’s health‑care workforce is a pervasive mind‑set barrier, not a lack of technology (as stated by Dr Rajiv and reinforced by Dr Gupta).”

The knowledge base explicitly notes that “mindset change is harder to achieve than implementing technology and changing processes” confirming that mindset, rather than technology, is seen as the primary barrier [S30].

Additional Contextmedium

“Around 2,000 faculty members were trained on simulator use for nursing education (as reported by Dr Sarvajit Kaur).”

A related source emphasizes the need for a large number of trained faculty members to support digital health capacity building, underscoring the relevance of such training initiatives [S102].

Additional Contextlow

“Continuing professional development is linked to digital competence, with 150 CNE hours now required for licence renewal for nurses.”

The knowledge base mentions the establishment of a model for continuing professional development based on national competence standards, providing broader context for CPD requirements in health professions [S103].

External Sources (103)
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Building the Workforce_ AI for Viksit Bharat 2047 — -Speaker 1- Role/Title: Not specified, Area of expertise: Not specified -Speaker 3- Role/Title: Not specified, Area of …
S2
S3
Advancing Scientific AI with Safety Ethics and Responsibility — – Speaker 1- Speaker 2- Speaker 3 – Speaker 1- Speaker 3- Moderator
S4
Capacity Building in Digital Health — -Dr. Sarvjeet Kaur: Secretary of the Indian Nursing Council, represents 2.2 million nurses, regulatory role in nursing e…
S5
AI Impact Summit 2026: Global Ministerial Discussions on Inclusive AI Development — -Speaker 1- Role/title not specified (appears to be a moderator/participant) -Speaker 2- Role/title not specified (appe…
S6
Policy Network on Artificial Intelligence | IGF 2023 — Moderator 2, Affiliation 2 Speaker 1, Affiliation 1 Speaker 2, Affiliation 2
S7
S8
Keynote-Martin Schroeter — -Speaker 1: Role/Title: Not specified, Area of expertise: Not specified (appears to be an event moderator or host introd…
S9
Responsible AI for Children Safe Playful and Empowering Learning — -Speaker 1: Role/title not specified – appears to be a student or child participant in educational videos/demonstrations…
S10
Building Trusted AI at Scale Cities Startups & Digital Sovereignty – Keynote Vijay Shekar Sharma Paytm — -Speaker 1: Role/Title: Not mentioned, Area of expertise: Not mentioned (appears to be an event host or moderator introd…
S11
AI 2.0 Reimagining Indian education system — -Suresh Yadav- Executive Director at Commonwealth Secretariat, former advisor to President Mukherjee, expertise in finan…
S12
AI 2.0 The Future of Learning in India — Suresh Yadav, Executive Director of the Commonwealth Secretariat, argued that this moment requires complete reimagining …
S13
https://dig.watch/event/india-ai-impact-summit-2026/ai-2-0-reimagining-indian-education-system — Thank you Pranavji for the presentation. Today as a panelist now we have Professor KK Agarwal sir, President South Asian…
S14
https://dig.watch/event/india-ai-impact-summit-2026/scaling-trusted-ai_-how-france-and-india-are-building-industrial-innovation-bridges — thank you once again to our moderator and to all our distinguished panelists I would now invite all the speakers to plea…
S16
https://dig.watch/event/india-ai-impact-summit-2026/science-ai-innovation_-india-japan-collaboration-showcase — Yeah. This is great. I’ll, we’ll go over to Rajiv. Rajiv Babuji and then we’ll break for questions. You know, we’ve hear…
S18
The reality of science fiction: Behind the scenes of race and technology — How do you know I’m real? I’m not real. I’m just like you. You don’t exist in this society. If you did, your people woul…
S19
Global Health Diplomacy — Andrew F. Cooper is professor, Department of Political Science, University of Waterloo and distinguished fello…
S20
Assessing the Promise and Efficacy of Digital Health Tool | IGF 2023 WS #83 — Deborah Rogers:I guess my closing remark would be that technology is a great enabler. It can actually be used to decreas…
S21
Robotics and the Medical Internet of Things /MIoT — Dr. Gupta:Thank you, Amali. I am Rajendra Gupta. I chair the Dynamic Coalition on Digital Health, and I also chair the C…
S22
Conversational AI in low income & resource settings | IGF 2023 — Ashish Atreja:Dr. Gupta, it’s a pleasure to be here and thanks for having me. Greetings from California. It’s 1 a.m. her…
S23
https://dig.watch/event/india-ai-impact-summit-2026/capacity-building-in-digital-health — Thank you. Thank you, Professor Gupta, and thank you for your leadership in this very important stage. He has been worki…
S24
Keeping up with Smart Factories / DAVOS 2025 — – Padraig McDonnell- Anish Shah
S25
Announcement of New Delhi Frontier AI Commitments — -Abhishek: Role/Title: Not specified (invited as distinguished leader of organization), Area of expertise: Not specified…
S26
Responsible AI in India Leadership Ethics & Global Impact — So to help me with the discussion, may I have the pleasure of inviting Dr. Satya Ramaswamy, Chief Digital and Technology…
S27
Fixing Healthcare, Digitally — Anumula recognises the need to improve healthcare access for the underprivileged, highlighting the Rajiv Arogyashree sch…
S28
Artificial Intelligence & Emerging Tech — A balanced approach is required for the regulation of emerging technologies to prevent the creation of problems while so…
S29
AI for Bharat’s Health_ Addressing a Billion Clinical Realities — I’ll go first. I think voice. It’s a common factor. I think it is horizontal, not vertical, but it’s very, very importan…
S30
Main Topic 2 –  GovTech Dynamics: Navigating Innovation and Challenges in Public Services — Central to this agenda is the belief that technological adoption should be led by a fundamental change in mindset, focus…
S31
Bridging the AI innovation gap — The tone is consistently inspirational and collaborative throughout. The speaker maintains an optimistic, forward-lookin…
S32
Upskilling for the AI era: Education’s next revolution — The tone is consistently optimistic, motivational, and action-oriented throughout. The speaker maintains an enthusiastic…
S33
Dynamic Coalition Collaborative Session — Dr. Gupta challenged current priority-setting in internet governance, arguing that artificial intelligence is being prio…
S34
Building Trusted AI at Scale Cities Startups & Digital Sovereignty – Panel Discussion Moderator Sidharth Madaan — I think healthcare is slightly different from a lot of other industries. I think it is highly regulated, number one. So …
S35
https://dig.watch/event/india-ai-impact-summit-2026/ai-2-0-the-future-of-learning-in-india — And mentor -mentee is always a guru -shishya context, which is very meaningful and useful. I will close this remark by s…
S36
Effective Governance for Open Digital Ecosystems | IGF 2023 Open Forum #65 — A mindset issue persists which hinders the shift towards digitalization.
S37
MedTech and AI Innovations in Public Health Systems — This comment provocatively shifts blame from technology limitations to organizational culture, suggesting that the real …
S38
Digital Health at the crossroads of human rights, AI governance, and e-trade (SouthCentre) — Artificial intelligence (AI) has emerged as a powerful tool in healthcare, enhancing diagnosis, optimizing resource allo…
S39
WS #288 An AI Policy Research Roadmap for Evidence-Based AI Policy — Jason Tucker: Thank you. So I wear two hats. I’m an academic, but I also work in public policy. And this is why I’m sort…
S40
Cracking the Code of Digital Health / DAVOS 2025 — The panel discussion highlighted the complex landscape of digital health and AI adoption in healthcare. While there was …
S42
DPI+H – health for all through digital public infrastructure — Critique of the ‘one model fits all’ approach and its associated costs. DPI was portrayed not just as infrastructure bu…
S43
Multistakeholder Dialogue on National Digital Health Transformation — Alain Labrique: Fantastic. Thank you, Leah. I really appreciate everyone’s partnership. and engagement this morning,…
S44
WS #271 Data Agency Scaling Next Gen Digital Economy Infrastructure — Development | Infrastructure | Sociocultural Instead of building complex technological solutions and expecting society …
S45
Creating Eco-friendly Policy System for Emerging Technology — Additionally, the analysis embraces a more globalised, holistic approach to learning. It backs strategies that encourage…
S46
WS #133 Better products and policies through stakeholder engagement — Richard Wingfield: you you you you you you you and rights and lead our work with technology companies on how t…
S47
Capacity Building in Digital Health — The discussion demonstrated that while challenges are substantial, tools and approaches for addressing them are increasi…
S48
Equi-Tech-ity: Close the gap with digital health literacy | IGF 2023 — Rajendra Gupta:I think I would say that in this age where patients are more informed, if not, you know, than anyone abou…
S49
Digital Health at the crossroads of human rights, AI governance, and e-trade (SouthCentre) — In conclusion, digital health technology holds immense potential for improving health systems globally. However, it is e…
S50
Digital health: Technology applications, and policy implications — Global expenditure on health continues to grow, as technological breakthroughs bring patients and doctors closer, regard…
S51
Assessing the Promise and Efficacy of Digital Health Tool | IGF 2023 WS #83 — Another area that requires attention is government policies on digital health, which currently lack focus on capacity bu…
S52
Building Capacity in Cyber Security — A high-level global cybersecurity capacity building agenda is also being called for to enhance efforts worldwide. Howeve…
S53
Multistakeholder Dialogue on National Digital Health Transformation — Kylie Shae: Thank you very much, Leah, and yes, I’m now bringing you to the cold face, you know, why are we doing all …
S54
Building a Digital Society, from Vision to Implementation — Stacey Hines, joining from Vancouver at 4 AM Kingston time, cited research from Web Summit where AI expert Gary Marcus p…
S55
Fixing Healthcare, Digitally — Additionally, satellite data is utilized to identify areas with higher population densities, environmental data, and mob…
S56
Shaping the Future AI Strategies for Jobs and Economic Development — Telemedicine and remote healthcare delivery can serve dispersed populations effectively
S57
WS #462 Bridging the Compute Divide a Global Alliance for AI — The main areas of disagreement center on: 1) Whether to prioritize infrastructure development vs. tool accessibility, 2)…
S58
Global Data Partnership Against Forced Labour: A Comprehensive Discussion Summary — The discussion shows remarkably high consensus on the core problem and general solution approach, with disagreements pri…
S59
WS #484 Innovative Regulatory Strategies to Digital Inclusion — High level of consensus with significant implications for policy direction. The agreement suggests a paradigm shift is n…
S60
Multigenerational Collaboration: Rethinking Work, Learning and Inclusion in the Digital Age — Moderate disagreement level with significant implications. While speakers agree on the importance of intergenerational c…
S61
WS #53 Leveraging the Internet in Environment and Health Resilience — Call for thinking globally and integrated in policy decisions; mention of ecosystem including public safety, emergency, …
S62
Digital technology for the sustainable development goals — In addition, there should begreater awarenessand capacity among policy-makers. This is required not only forchanging min…
S63
Digital Public Infrastructure, Policy Harmonisation, and Digital Cooperation – AI, Data Governance,and Innovation for Development — 3. Contextualising Policies and Technologies: A recurring theme was the importance of tailoring policies and technologi…
S64
WS #193 Cybersecurity Odyssey Securing Digital Sovereignty Trust — Samaila Atsen Bako: Thank you so much. I hope you can hear me clearly. Yes, we do. We can hear you. Oh, awesome. That’s …
S65
WS #453 Leveraging Tech Science Diplomacy for Digital Cooperation — There’s a recognized gap between technological development and policy understanding, with calls for bringing policymaker…
S66
AI for Bharat’s Health_ Addressing a Billion Clinical Realities — The discussion revealed that technical capabilities often exceed institutional readiness for AI adoption. Behavioral cha…
S67
Capacity Building in Digital Health — High level of consensus with significant implications for healthcare digital transformation. The agreement across divers…
S68
MedTech and AI Innovations in Public Health Systems — Despite promising potential, significant challenges emerged. Data quality and infrastructure represent fundamental prere…
S69
Assessing the Promise and Efficacy of Digital Health Tool | IGF 2023 WS #83 — Digital health literacy is crucial for healthcare professionals and workers in the sector. Failing to adapt and learn di…
S70
Digital Health at the crossroads of human rights, AI governance, and e-trade (SouthCentre) — Digital health technology has the potential to significantly improve the efficiency and effectiveness of health systems …
S71
WSIS Action Line C7: E-health – Fostering foundations for digital health transformation in the age of AI — Legal and regulatory | Development | Infrastructure Legal and regulatory | Human rights | Development Legal and regula…
S72
Cracking the Code of Digital Health / DAVOS 2025 — Roy Jakobs: to focus on globally. What can you tell us about these enablers? I think, and I said it before, if you w…
S73
Global Digital Compact: AI solutions for a digital economy inclusive and beneficial for all — ## Challenges and Unresolved Issues ## The Global Call for Solutions: A New Initiative ## The Urgency of Action: Skill…
S74
DC-DH: Health Digital Health & Selfcare – Can we replace Doctors in PHCs — Zaw Ali Khan: Thank you, Dr. Rajan, for inviting me to this session. I feel that there are certainly many use cases w…
S75
AI and robots to fix Japan’s shrinking labor force — Japan is facing a shrinking labour pool due to a declining population and an ageing workforce, which is pushing many ind…
S76
DPI+H – health for all through digital public infrastructure — Criticisms target the ‘one size fits all’ approach, flagging up the risks of increased costs and inefficiencies. Advocac…
S77
Multistakeholder Dialogue on National Digital Health Transformation — Alain Labrique: Fantastic. Thank you, Leah. I really appreciate everyone’s partnership. and engagement this morning,…
S78
Generative AI: Steam Engine of the Fourth Industrial Revolution? — Additionally, reskilling the workforce is crucial to fully embrace new technologies. AI, for instance, has the potential…
S79
Bridging the Digital Divide for Transition to a Greener Economy — Reskilling the workforce is another important consideration highlighted in the analysis. A study by Microsoft estimates …
S80
WS #271 Data Agency Scaling Next Gen Digital Economy Infrastructure — Development | Infrastructure | Sociocultural Instead of building complex technological solutions and expecting society …
S81
Strengthening Corporate Accountability on Inclusive, Trustworthy, and Rights-based Approach to Ethical Digital Transformation — The discussion maintained a professional, collaborative tone throughout, with speakers demonstrating expertise while ack…
S82
Multilateral Intergenerational High-Level Dialogue: Youth Special Track — Despite the inspiring examples of youth-led innovation, participants identified significant structural barriers that pre…
S83
WSIS+20 Overall Review multistakeholder consultation with co-facilitators — ### Geographical and Structural Barriers This consultation demonstrated both the opportunities and challenges of inclus…
S84
Knowledge Café: Youth building the digital future – WSIS+20 Review and Beyond 2025 — These key comments fundamentally shaped the discussion by introducing three critical shifts: from technology-centered to…
S85
Knowledge Café: WSIS+20 Consultation: Towards a Vision Beyond 2025 — **Inclusion Barriers**: Structural barriers prevent marginalized communities from participating in WSIS processes. Speci…
S86
AI, Data Governance, and Innovation for Development — Sade Dada: Thank you so much, Martha. Thank you to the organized important dialogue. The sessions have been really great…
S87
AI: Lifting All Boats / DAVOS 2025 — The tone was largely optimistic and solution-oriented, with speakers acknowledging challenges but focusing on opportunit…
S88
Powering AI _ Global Leaders Session _ AI Impact Summit India Part 2 — The discussion maintained a predominantly optimistic and forward-looking tone throughout, despite acknowledging signific…
S89
AI as critical infrastructure for continuity in public services — The discussion maintained a collaborative and constructive tone throughout, with participants building on each other’s p…
S90
Day 0 Event #174 Giganet Annual Academic Symposium – Morning session — The gap between policy principles and practical implementation is a critical challenge
S91
Launch / Award Event #52 Intelligent Society Development & Governance Research — **Practical Implementation**: The discussion focused on real-world applications and concrete examples rather than theore…
S92
Evolving AI, evolving governance: from principles to action | IGF 2023 WS #196 — Galia, one of the speakers, emphasizes the mapping exercises conducted with the OECD regarding risk assessment. This sug…
S93
Lightning Talk #215 Governance in Citizen Science Technologies — However, Soacha was notably candid about the implementation challenges, acknowledging that “it’s extremely challenging” …
S94
Closing remarks – Charting the path forward — A central theme was the need to move beyond abstract principles toward concrete implementation tools, technical standard…
S95
Closing remarks — The tone is consistently celebratory, optimistic, and forward-looking throughout the discussion. It maintains an enthusi…
S96
AI for food systems — The tone throughout the discussion was consistently formal, optimistic, and collaborative. It maintained a ceremonial qu…
S97
Partnering on American AI Exports Powering the Future India AI Impact Summit 2026 — The tone is consistently optimistic, collaborative, and forward-looking throughout the discussion. Speakers emphasize “l…
S98
Media Briefing: Unlocking the North Star for AI Adoption, Scaling and Global Impact / DAVOS 2025 — The overall tone was optimistic and forward-looking. Panelists expressed excitement about AI’s capabilities and potentia…
S99
Closing Ceremony — The discussion maintains a consistently positive and collaborative tone throughout, characterized by gratitude, celebrat…
S100
Panel Discussion AI in Healthcare India AI Impact Summit — “One of the big barriers is multilingual.”[1]. “Maybe use cases, and I briefly hit on this before, but I think certainly…
S101
Exploring the need for speed in deploying information and communications technology for international development and bridging the digital divide — Some semblance of thresholds has been defined in previous campaigns such as the ‘one laptop per child’ campaign (OLPC Fo…
S102
https://dig.watch/event/india-ai-impact-summit-2026/nextgen-ai-skills-safety-and-social-value-technical-mastery-aligned-with-ethical-standards — But I’ll tell you that we need to really work out an infrastructure. We need to work out on academic strength. We need t…
S103
New Colours of Knowledge — – MEASURE 4.3.2. Establish a model for continuing professional development based on the National Competence Standard for…
Speakers Analysis
Detailed breakdown of each speaker’s arguments and positions
D
Dr. Rajiv
4 arguments141 words per minute494 words208 seconds
Argument 1
Emphasizes that adopting digital health requires a fundamental mindset shift among pharmacists and other health professionals, not just technology deployment.
EXPLANATION
Dr. Rajiv argues that the main obstacle to expanding community pharmacy roles is a professional and mindset change rather than the availability of technology. He stresses that pharmacists need to adapt their thinking to engage in the full retail supply chain.
EVIDENCE
He points out that pharmacists have the greatest potential to contribute across the retail chain, but this requires strong change management and a shift in professional mindset, noting that the change is happening but will take more time because it is a mindset change [8].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Capacity-building literature stresses that digital health adoption hinges on a cultural and mindset shift rather than mere technical tools [S4] and further underscores the primacy of mindset change in digital transformation initiatives [S30].
MAJOR DISCUSSION POINT
Mindset shift needed for pharmacists
AGREED WITH
Dr. Gupta, Dr. Freddy
Argument 2
Points out that the Pharmacy Council of India (PCI) sets minimum standards but permits adding innovative subjects such as AI and management.
EXPLANATION
Dr. Rajiv explains that while the PCI defines the minimum curriculum requirements, it does not forbid institutions from adding subjects like innovation, management, or AI. This flexibility allows pharmacy programs to go beyond the baseline.
EVIDENCE
He states that PCI provides only the minimum standards and does not prevent adding innovation or management papers, allowing colleges to include additional topics such as AI [133-141].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
The PCI is described as defining only minimum curriculum requirements while allowing institutions to augment programs with innovation, management and AI topics [S4].
MAJOR DISCUSSION POINT
PCI allows curriculum expansion
AGREED WITH
Dr. Sarvajit Kaur
DISAGREED WITH
Dr. Sarvajit Kaur
Argument 3
Uses remote surgery as an example of how existing clinicians can upskill rapidly to adopt new digital procedures.
EXPLANATION
Dr. Rajiv illustrates that doctors trained decades ago can now perform remote surgeries, showing that continuous upskilling enables adoption of new technologies. He suggests that capacity building should be an ongoing regulatory process.
EVIDENCE
He cites remote surgeries as a case where doctors trained 30 years ago have shifted to new capabilities, demonstrating continuous training and upgradation within the regulatory system [208-212].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Remote surgeries are cited as a concrete illustration of clinicians trained decades ago acquiring new digital capabilities through continuous upskilling [S4].
MAJOR DISCUSSION POINT
Remote surgery exemplifies rapid upskilling
AGREED WITH
Dr. Sarvajit Kaur, Dr. Suresh Yadav, Speaker 1
Argument 4
Emphasizes the role of drug inspectors and regulators in continuous training to keep pace with emerging medical devices and AI tools.
EXPLANATION
Dr. Rajiv notes that drug inspectors and controllers are now being trained to approve and review modern medical devices and AI applications, a function that did not exist when they were first appointed. This reflects ongoing professional development within regulatory bodies.
EVIDENCE
He mentions that inspectors and drug controllers are being trained on modern medical devices and AI tools, indicating continuous upgradation of regulatory staff [216-218].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Regulatory staff, including drug inspectors and controllers, are reported to be undergoing ongoing training on modern medical devices and AI applications, reflecting a continuous professional development process [S4].
MAJOR DISCUSSION POINT
Regulators need ongoing AI training
D
Dr. Gupta
2 arguments122 words per minute848 words414 seconds
Argument 1
Highlights that the core barrier is mindset change rather than technology itself.
EXPLANATION
Dr. Gupta emphasizes that shifting mindsets among health workers is more critical than merely introducing new technologies. He frames the discussion as a mindset issue that underpins successful digital health adoption.
EVIDENCE
He explicitly states that the important point is it’s more about mindset change than just technology [9].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Multiple capacity-building sources identify mindset change as the principal obstacle to digital health adoption, outweighing the mere presence of technology [S4] and [S30].
MAJOR DISCUSSION POINT
Mindset over technology
AGREED WITH
Dr. Rajiv, Dr. Freddy
Argument 2
Announces the launch of a Global AI Academy to provide cross‑disciplinary training, emphasizing mindset over platform.
EXPLANATION
Dr. Gupta declares the creation of a Global AI Academy aimed at training individuals across disciplines, stressing that success depends on mindset rather than the specific platform used. The launch is presented as a step toward building AI capacity.
EVIDENCE
He states that they are launching the Global AI Academy, noting that it’s not about the platform but about mindset, and urges immediate action [226-233].
MAJOR DISCUSSION POINT
Launch of Global AI Academy
AGREED WITH
Speaker 1, Dr. Suresh Yadav
D
Dr. Sarvajit Kaur
4 arguments171 words per minute973 words341 seconds
Argument 1
Describes regulatory actions embedding AI and digital health into the BSc nursing curriculum, mandatory simulation labs, and VR tools.
EXPLANATION
Dr. Sarvajit Kaur explains that the nursing regulator revised the BSc curriculum in 2021 to incorporate AI and digital health, making five simulation labs mandatory and providing equipment such as mannequins and VR. This aims to build digital competencies among nursing students.
EVIDENCE
She outlines the 2021 curriculum change, the emphasis on digital health and AI, and the requirement for five simulation labs equipped with mannequins and VR to develop competencies [11-14].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Regulatory revisions in 2021 introduced AI and digital health into the BSc nursing curriculum, mandating five simulation labs equipped with mannequins and VR to develop digital competencies [S4].
MAJOR DISCUSSION POINT
Curriculum integration of AI and simulation
AGREED WITH
Dr. Rajiv
Argument 2
Notes the slow pace of curriculum revision and proposes continuous CME, district‑level simulation centers, and linked CNE credits to maintain competencies.
EXPLANATION
Dr. Kaur points out that curriculum changes take years, so she advocates for ongoing CME, establishing simulation centers in every district, and tying CNE credits to license renewal to keep nurses’ skills up to date. These measures aim to address the large existing nursing workforce.
EVIDENCE
She mentions that curriculum revisions take a decade, cites the need for district simulation centers, and describes linking 150 CNE hours to registration renewal as incentives for continuous upskilling [126-130].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
The discussion highlights a systematic approach that includes district-level simulation centers, ongoing CME, and the linkage of 150 CNE hours to license renewal to sustain competencies despite long curriculum cycles [S4].
MAJOR DISCUSSION POINT
Continuous upskilling via simulation centers and CNE
Argument 3
Highlights linking 150 CNE hours to nursing license renewal to incentivize continuous upskilling.
EXPLANATION
Dr. Kaur explains that 150 Continuing Nursing Education (CNE) hours have been tied to the five‑year renewal of nursing registration, making these courses mandatory for license continuation. This creates a regulatory incentive for nurses to engage with digital health training.
EVIDENCE
She states that 150 CNE hours are linked to license renewal, requiring nurses to complete these courses to maintain registration [191-192].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
A mandatory requirement of 150 Continuing Nursing Education hours tied to the five-year renewal of nursing registration is documented as a regulatory incentive for continuous upskilling [S4].
MAJOR DISCUSSION POINT
CNE hours tied to license renewal
Argument 4
Suggests leveraging free or low‑cost platforms linked to mandatory CNE requirements to disseminate mental‑health tools for professionals.
EXPLANATION
Dr. Kaur notes that some platforms offer free courses, and by integrating them with the mandatory CNE framework, mental‑health solutions can be scaled to nurses and other health workers. This approach aligns regulatory requirements with accessible digital tools.
EVIDENCE
She mentions that there are platforms providing free courses and that these can be used to meet CNE requirements, facilitating broader dissemination [191-192].
MAJOR DISCUSSION POINT
Free platforms tied to CNE for scaling
D
Dr. Suresh Yadav
4 arguments189 words per minute1358 words429 seconds
Argument 1
Argues that AI can enable a single clinician to serve many patients, demanding new mental models and collaborative ecosystems.
EXPLANATION
Dr. Yadav proposes that AI technologies could allow one doctor or health worker to serve ten or more patients, requiring a shift in mental models and the creation of integrated ecosystems that connect all health actors.
EVIDENCE
He asks whether one doctor can serve ten people using AI and suggests that health workers could serve five to ten times more patients through AI-driven systems [79-81].
MAJOR DISCUSSION POINT
AI amplifies clinician capacity
Argument 2
Proposes AI‑driven health ERP systems to break fragmentation, creating an ecosystem where doctors, nurses, pharmacists, and volunteers are interconnected.
EXPLANATION
Dr. Yadav suggests implementing health‑focused ERP solutions, similar to corporate ERP, to integrate fragmented health services and connect all stakeholders, thereby improving efficiency and patient care.
EVIDENCE
He describes using health ERP to connect doctors, pharmacists, nurses, and volunteers, noting that the U.S. system avoids fragmentation while India suffers from siloed structures, and proposes ERP as a quick-fix solution [78-86].
MAJOR DISCUSSION POINT
Health ERP to unify ecosystem
AGREED WITH
Speaker 1, Dr. Gupta
Argument 3
Quantifies the global cost of healthcare worker shortages as 10‑12 million jobs, equating to ~15 % of global GDP, and links it to climate‑health challenges.
EXPLANATION
Dr. Yadav presents data that shortages of healthcare workers represent a loss of 10‑12 million jobs, costing roughly 15 % of global GDP, and connects this economic burden to broader climate‑health issues highlighted in recent Lancet reports.
EVIDENCE
He cites that the shortage costs around 10-12 million jobs, about 15 % of the $120 trillion global GDP, and mentions the Lancet report linking climate change to health challenges [53-58].
MAJOR DISCUSSION POINT
Economic impact of workforce shortages
Argument 4
Suggests digital solutions as a low‑hanging fruit to mitigate shortages, especially in aging populations and underserved regions.
EXPLANATION
Dr. Yadav identifies digital technologies, including AI, as an immediate remedy to address healthcare worker shortages, particularly for aging societies and remote areas where staffing is scarce.
EVIDENCE
He refers to digital solutions as a low-hanging fruit to address shortages, especially for aging populations and regions lacking healthcare workers [77-80].
MAJOR DISCUSSION POINT
Digital tools to address staffing gaps
AGREED WITH
Dr. Rajiv, Dr. Gupta
S
Speaker 1
3 arguments132 words per minute583 words263 seconds
Argument 1
Stresses that technology firms must create solutions that adapt to varying digital maturity, hand‑holding users through transformation.
EXPLANATION
Speaker 1 argues that health‑tech companies should design AI solutions that can scale in complexity, providing support for institutions with different levels of digital readiness, effectively hand‑holding users through the transformation journey.
EVIDENCE
He outlines a design principle that technology should be scalable in complexity, allowing products to hand-hold healthcare workers as institutions progress from basic remote vitals to advanced decision support, citing the EISU solution as an example [112-118][119-120].
MAJOR DISCUSSION POINT
Scalable, hand‑holding tech design
AGREED WITH
Dr. Suresh Yadav, Dr. Gupta
DISAGREED WITH
Dr. Suresh Yadav
Argument 2
Advocates designing products that scale in complexity—from basic remote vitals to advanced clinical decision support—matching institutional readiness.
EXPLANATION
Speaker 1 reiterates that health‑tech products need to adapt to the digital maturity of each institution, offering basic functionalities initially and adding sophisticated features as readiness improves, exemplified by the EISU platform.
EVIDENCE
He describes the EISU solution whose functionality ranges from simple remote vital monitoring to complex smart alerts and clinical decision support, aligned with clinician readiness [119-120].
MAJOR DISCUSSION POINT
Product complexity scaling
Argument 3
Recommends that technology design be scalable in complexity, allowing institutions with differing digital maturity to adopt gradually.
EXPLANATION
Speaker 1 emphasizes that technology should not be a one‑size‑fits‑all but should allow gradual adoption, enabling both digitally native hospitals and analog ones to benefit from the same solution as they mature.
EVIDENCE
He repeats the need for products that can scale in complexity to suit varying institutional digital maturity, ensuring broader applicability across the health sector [112-118].
MAJOR DISCUSSION POINT
Gradual adoption through scalable design
S
Speaker 2
1 argument231 words per minute310 words80 seconds
Argument 1
Raises the difficulty of applying US pricing models in India and seeks strategies for affordable, scalable pricing of digital health products.
EXPLANATION
Speaker 2 points out that solutions successful in the U.S. with high revenues fail to achieve comparable pricing in India, highlighting the challenge of adapting business models to the Indian market and requesting guidance on affordable scaling.
EVIDENCE
He describes his experience with two ventures that succeeded in the U.S. but struggled with pricing in India, noting the need for strategies to make pricing work for the Indian context [187-190].
MAJOR DISCUSSION POINT
Pricing challenges for India
DISAGREED WITH
Dr. Gupta
S
Speaker 3
1 argument144 words per minute15 words6 seconds
Argument 1
Calls for collaborative consortia of innovative healthcare universities to pool resources and accelerate scaling of solutions.
EXPLANATION
Speaker 3 suggests forming a consortium of innovative healthcare universities to share expertise, resources, and infrastructure, thereby speeding up the development and scaling of digital health solutions.
EVIDENCE
He briefly mentions the idea of a consortium of innovative healthcare universities as a way to collaborate and scale solutions [221].
MAJOR DISCUSSION POINT
University consortium for scaling
D
Dr. Freddy
1 argument149 words per minute166 words66 seconds
Argument 1
Asserts that age is not the obstacle for faculty; mindset is, and older educators can still adopt AI with the right approach.
EXPLANATION
Dr. Freddy contends that the barrier to adopting AI among faculty is not age but mindset, emphasizing that even senior educators can learn and implement AI technologies if they adopt the right attitude.
EVIDENCE
He notes that 80 % of participants are over 20 years old, with the oldest being 50, and concludes that age is irrelevant compared to mindset [219-220].
MAJOR DISCUSSION POINT
Mindset over age for AI adoption
AGREED WITH
Dr. Rajiv, Dr. Gupta
A
Anish
2 arguments172 words per minute664 words231 seconds
Argument 1
Calls for educating policymakers on technology’s impact and establishing an “innovation pipeline” to re‑imagine government solutions.
EXPLANATION
Anish argues that politicians need training on how new technologies change problem‑solving, and proposes creating an “innovation pipeline” where government sets ambitious targets and evaluates ideas through staged testing before scaling.
EVIDENCE
He explains that policymakers focus on outcomes and need education on technology’s influence, then introduces the concept of an innovation pipeline with stage-gate testing and scaling of successful ideas [158-164][178-184].
MAJOR DISCUSSION POINT
Innovation pipeline for policy
DISAGREED WITH
Dr. Gupta
Argument 2
Introduces “innovation pipeline management” as a framework for governments to test, validate, and scale promising AI solutions.
EXPLANATION
Anish details a structured process—similar to DARPA’s model—where governments set targets, invite ideas, test them through stages, and then scale validated solutions, providing a systematic way to integrate AI into public programs.
EVIDENCE
He describes the pipeline stages: setting ambitious targets, inviting entrepreneurs, stage-gate testing, validation, and policy scaling, referencing DARPA’s approach as a model [178-184].
MAJOR DISCUSSION POINT
Structured AI innovation pipeline
Agreements
Agreement Points
Mindset shift is the primary barrier to digital health adoption, outweighing technology or age factors.
Speakers: Dr. Rajiv, Dr. Gupta, Dr. Freddy
Emphasizes that adopting digital health requires a fundamental mindset shift among pharmacists and other health professionals, not just technology deployment. Highlights that the core barrier is mindset change rather than technology itself. Asserts that age is not the obstacle for faculty; mindset is, and older educators can still adopt AI with the right approach.
All three speakers stress that changing professional mindsets, not merely providing technology or worrying about age, is the key to successful digital health implementation. Rajiv notes the need for professional and mindset change among pharmacists [8]; Gupta explicitly calls mindset change the core issue [9]; Freddy argues that mindset, not age, determines AI adoption among faculty [219-220].
POLICY CONTEXT (KNOWLEDGE BASE)
The barrier of mindset shift was identified as the primary obstacle in the “Building a Digital Society” discussion, highlighting cultural resistance over technical issues [S54], and aligns with calls for changing public-sector mindsets to enable digital health adoption [S62].
Ongoing capacity building and upskilling of the existing health workforce is essential, using simulation labs, CME, digital tools, and adaptable technology solutions.
Speakers: Dr. Rajiv, Dr. Sarvajit Kaur, Dr. Suresh Yadav, Speaker 1
Uses remote surgery as an example of how existing clinicians can upskill rapidly to adopt new digital procedures. Describes regulatory actions embedding AI and digital health into the BSc nursing curriculum, mandatory simulation labs, and VR tools. Suggests digital solutions as a low‑hanging fruit to mitigate shortages, especially in aging populations and underserved regions. Stresses that technology firms must create solutions that adapt to varying digital maturity, hand‑holding users through transformation.
The panel repeatedly highlights the need for continuous training-through remote-surgery upskilling, mandatory simulation labs, CME, and scalable tech that hand-holds users. Rajiv cites remote-surgery upskilling and regulator training on new devices [208-212][216-218]; Kaur details simulation labs and CNE-linked licensing [11-14][191-192]; Yadav points to digital tools as low-hanging fruit for staffing gaps [77-80]; Speaker 1 proposes scalable, complexity-adjustable solutions to support varied digital maturity [112-118][119-120].
POLICY CONTEXT (KNOWLEDGE BASE)
Capacity-building is emphasized as crucial for scaling digital health, with recommendations to coordinate tools and strategies across contexts [S47] and a specific call for governments to prioritize workforce upskilling in digital health policies [S51].
Regulatory frameworks can and should be flexible to incorporate AI, digital health, and innovative subjects beyond minimum standards.
Speakers: Dr. Rajiv, Dr. Sarvajit Kaur
Points out that the Pharmacy Council of India (PCI) sets minimum standards but permits adding innovative subjects such as AI and management. Describes regulatory actions embedding AI and digital health into the BSc nursing curriculum, mandatory simulation labs, and VR tools.
Both regulators note that they are not limited to baseline curricula and can add AI and innovation. Rajiv explains that PCI provides only minimum requirements and allows additional subjects like AI [133-141]; Kaur outlines the 2021 BSc nursing curriculum revision that embeds AI and digital health, with mandatory simulation labs [11-14].
POLICY CONTEXT (KNOWLEDGE BASE)
Innovative regulatory strategies advocate for flexible, demand-driven frameworks that go beyond minimum standards to promote digital inclusion [S59], and stress the need to tailor policies to local realities rather than rigidly copying external models [S63].
Digital health technologies must be designed to scale in complexity and integrate fragmented health services into a unified ecosystem.
Speakers: Speaker 1, Dr. Suresh Yadav, Dr. Gupta
Stresses that technology firms must create solutions that adapt to varying digital maturity, hand‑holding users through transformation. Proposes AI‑driven health ERP systems to break fragmentation, creating an ecosystem where doctors, nurses, pharmacists, and volunteers are interconnected. Announces the launch of a Global AI Academy to provide cross‑disciplinary training, emphasizing mindset over platform.
The speakers converge on the need for adaptable, ecosystem-oriented tech. Speaker 1 calls for products that scale in complexity to match institutional readiness [112-118][119-120]; Yadav recommends health-ERP solutions to eliminate siloed care and build a connected ecosystem [78-86]; Gupta launches a Global AI Academy, stressing that success hinges on mindset rather than a specific platform [226-233].
POLICY CONTEXT (KNOWLEDGE BASE)
Effective scaling requires coordinated, context-aware strategies that integrate services, as outlined in capacity-building guidance [S47] and calls for integrated health-environment-technology governance [S61].
Digital health can extend care to underserved and remote populations, addressing workforce shortages and last‑mile delivery.
Speakers: Dr. Rajiv, Dr. Suresh Yadav, Dr. Gupta
If you see doctors, nurses, other health technicians, you will find them concentrated in hospitals… the biggest possibility is for pharmacists through the whole retail chain… they can actually contribute up to the last mile of the value chain. Suggests digital solutions as a low‑hanging fruit to mitigate shortages, especially in aging populations and underserved regions. Highlights that the important point is it’s more about mindset change than just technology.
All three underline that digital health can reach the “last mile” and alleviate staffing gaps. Rajiv points to pharmacists’ potential to serve the entire supply chain and reach remote areas [8]; Yadav describes digital tools as a quick fix for remote or underserved regions [77-80]; Gupta reiterates that mindset change is needed to enable such outreach [9].
POLICY CONTEXT (KNOWLEDGE BASE)
Remote-care extensions are supported by evidence that satellite and mobility data can guide placement of health posts for underserved areas [S55], and telemedicine is recognized as a key solution for dispersed populations [S56]; equity considerations further underline the need for inclusive access [S49].
Similar Viewpoints
Both emphasize the need for integrated, scalable technology platforms that can bridge fragmented health services and support users at different stages of digital readiness. Speaker 1 calls for products that scale in complexity [112-118][119-120]; Yadav advocates health‑ERP to unify the ecosystem and overcome siloed structures [78-86].
Speakers: Speaker 1, Dr. Suresh Yadav
Stresses that technology firms must create solutions that adapt to varying digital maturity, hand‑holding users through transformation. Proposes AI‑driven health ERP systems to break fragmentation, creating an ecosystem where doctors, nurses, pharmacists, and volunteers are interconnected.
Both agree that shifting professional mindsets is more critical than merely introducing new technologies. Gupta explicitly labels mindset as the core barrier [9]; Rajiv stresses professional and mindset change for pharmacists [8].
Speakers: Dr. Gupta, Dr. Rajiv
Highlights that the core barrier is mindset change rather than technology itself. Emphasizes that adopting digital health requires a fundamental mindset shift among pharmacists and other health professionals, not just technology deployment.
Both highlight the necessity of training policymakers to understand and leverage emerging technologies. Anish proposes an “innovation pipeline” and education for politicians [158-164][178-184]; Gupta raises the question of a crash course for politicians [148-152].
Speakers: Anish, Dr. Gupta
Calls for educating policymakers on technology’s impact and establishing an “innovation pipeline” to re‑imagine government solutions. …how do you train politicians? (crash course for them).
Unexpected Consensus
Agreement on the need to educate and re‑train politicians/policymakers about digital technologies.
Speakers: Anish, Dr. Gupta
Calls for educating policymakers on technology’s impact and establishing an “innovation pipeline” to re‑imagine government solutions. …how do you train politicians? (crash course for them).
While most discussion focused on health professionals and technology design, both Anish and Dr. Gupta converged on the idea that policymakers themselves require systematic training to keep pace with digital innovation-a point not anticipated given the health-centric agenda. Anish outlines an innovation-pipeline model for government learning [158-164][178-184]; Gupta explicitly asks about a crash course for politicians [148-152].
POLICY CONTEXT (KNOWLEDGE BASE)
Bridging the tech-policy gap is highlighted as essential, with recommendations for capacity building among policymakers in cybersecurity and digital health [S52], and calls for science-diplomacy initiatives to bring policymakers closer to technology [S65]; broader awareness among decision-makers is also stressed [S62].
Overall Assessment

The panel exhibits strong consensus that mindset change, continuous capacity building, regulatory flexibility, and scalable ecosystem‑oriented technology are essential for digital health transformation. Participants align on integrating AI into curricula, linking training to professional incentives, and using digital tools to reach underserved populations.

High consensus across multiple speakers and sectors, indicating a unified direction toward policy reforms, education upgrades, and technology design that together can accelerate digital health adoption and address workforce shortages.

Differences
Different Viewpoints
How to keep health professional curricula current with digital health and AI
Speakers: Dr. Rajiv, Dr. Sarvajit Kaur
Points out that the Pharmacy Council of India (PCI) sets minimum standards but permits adding innovative subjects such as AI and management. Notes the slow pace of curriculum revision and proposes continuous CME, district‑level simulation centres and linking 150 CNE hours to licence renewal to maintain competencies.
Dr. Rajiv argues that existing regulatory frameworks (PCI) already allow institutions to go beyond the minimum curriculum by adding AI, innovation and management topics, so change can be achieved within the current structure [133-141]. Dr. Sarvajit counters that formal curriculum changes take a decade, therefore she emphasizes ongoing CME, simulation centres in every district and mandatory CNE credits to keep the large existing nursing workforce up-to-date [126-130][191-192]. The two speakers agree on the need for up-skilling but disagree on whether the primary lever should be curriculum flexibility or supplemental continuous education mechanisms.
Preferred technical approach for scaling digital health solutions
Speakers: Speaker 1, Dr. Suresh Yadav
Stresses that technology firms must create solutions that adapt to varying digital maturity, hand‑holding users through transformation. Proposes AI‑driven health ERP systems to break fragmentation, creating an ecosystem where doctors, nurses, pharmacists and volunteers are interconnected.
Speaker 1 advocates designing AI products that can scale in complexity, providing basic to advanced functionalities as institutions mature (e.g., the EISU platform) [112-118][119-120]. Dr. Yadav, by contrast, promotes a health-ERP “quick-fix” that integrates fragmented services into a single ecosystem, drawing on corporate-ERP models [78-86]. Both aim to improve scalability, but they differ on whether the solution should be a flexible, modular product or a comprehensive ERP integration.
POLICY CONTEXT (KNOWLEDGE BASE)
Debates over whether to prioritize infrastructure development versus tool accessibility reflect divergent technical approaches to scaling, as documented in the WS #462 discussion on compute divide [S57].
How to address pricing of digital health products for the Indian market
Speakers: Speaker 2, Dr. Gupta
Raises the difficulty of applying US pricing models in India and seeks strategies for affordable, scalable pricing of digital health products. Defers the pricing question to a prior GDHS session on pricing of digital health, without providing a direct answer.
Speaker 2 highlights that successful US ventures have failed to achieve comparable pricing in India and asks for concrete guidance on affordable scaling [187-190]. Dr. Gupta responds by pointing the audience to an earlier GDHS session rather than offering a tailored solution [191]. This reflects a disagreement on the immediacy and responsibility of providing actionable pricing guidance.
Who should be the primary target for capacity‑building initiatives – health professionals or policymakers
Speakers: Dr. Gupta, Anish
Highlights the core barrier is mindset change rather than technology itself. Calls for educating policymakers on technology’s impact and establishing an “innovation pipeline” to re‑imagine government solutions.
Dr. Gupta frames the main obstacle as a mindset shift among health workers and suggests that training should focus on them [9]. Anish argues that politicians and policymakers also need systematic education and an innovation-pipeline process to translate new technologies into policy decisions [158-164][178-184]. The disagreement lies in the primary audience for capacity-building: frontline health workers versus government decision-makers.
POLICY CONTEXT (KNOWLEDGE BASE)
Capacity-building literature shows tension between focusing on healthcare professionals (emphasized in government policy gaps [S51]) and strengthening policymakers’ support and buy-in (highlighted in cybersecurity capacity building [S52]).
Unexpected Differences
Use of regulatory flexibility versus perceived inability to change curricula
Speakers: Dr. Rajiv, Dr. Rajiv (self‑contradiction)
Points out that the Pharmacy Council of India (PCI) sets minimum standards but permits adding innovative subjects such as AI and management. Notes that colleges and teachers claim they are not allowed to change curricula because it is governed by PCI.
Within Dr. Rajiv’s own remarks, he first asserts that PCI allows institutions to add subjects beyond the minimum [133-141], yet later acknowledges that colleges often claim they cannot change curricula because of PCI regulations [130-132]. This internal inconsistency was not anticipated and highlights a hidden tension between perceived regulatory constraints and actual flexibility.
Assumption that a single technology solution can solve workforce shortages versus broader systemic change
Speakers: Dr. Suresh Yadav, Speaker 1
Argues that AI can enable a single clinician to serve many patients, demanding new mental models and collaborative ecosystems. Stresses that technology firms must create solutions that adapt to varying digital maturity, hand‑holding users through transformation.
Dr. Yadav presents AI as a near-miraculous lever to dramatically increase clinician capacity (e.g., one doctor serving ten patients) [79-81], whereas Speaker 1 emphasizes incremental, maturity-based scaling of technology rather than expecting a single AI breakthrough to resolve systemic shortages. The optimism of a “quick-fix” AI solution was unexpected compared to the more cautious, capacity-building perspective of other participants.
POLICY CONTEXT (KNOWLEDGE BASE)
The discussion on systemic versus technology-centric solutions mirrors disagreements about supply shortages versus access inequality in digital health debates [S57], and reflects concerns about profit-driven, narrow tech approaches versus holistic, human-centered strategies [S60].
Overall Assessment

The discussion revealed several points of contention: the best mechanism for keeping curricula current (regulatory flexibility vs. continuous CME), the optimal technical architecture for scaling digital health (modular, maturity‑based products vs. comprehensive health‑ERP), the responsibility for addressing pricing challenges in India, and the primary audience for capacity‑building (health workers versus policymakers). While participants uniformly agreed on the necessity of a mindset shift, they diverged on the pathways to achieve it.

Moderate to high. The disagreements are substantive, touching on policy design, educational strategy, and technology implementation, and they could affect the speed and effectiveness of digital health integration in India. Resolving these tensions will require coordinated action across regulators, educators, technology firms, and government bodies to align curriculum reforms, funding models, and ecosystem design.

Partial Agreements
All speakers concur that a mindset shift is essential for digital health adoption and that training (whether for regulators, faculty, or health workers) must address attitudes rather than merely providing technology. However, they differ on the mechanisms—curriculum reform, regulatory up‑skilling, age‑agnostic faculty training, or product design—to achieve that mindset change.
Speakers: Dr. Rajiv, Dr. Gupta, Dr. Freddy, Speaker 1
Emphasizes that the core barrier is mindset change rather than technology itself. Emphasizes the role of drug inspectors and regulators in continuous training to keep pace with emerging medical devices and AI tools. Asserts that age is not the obstacle for faculty; mindset is, and older educators can still adopt AI with the right approach. Stresses that technology firms must create solutions that adapt to varying digital maturity, hand‑holding users through transformation.
Takeaways
Key takeaways
Adopting digital health and AI in healthcare requires a fundamental mindset shift among pharmacists, nurses, doctors, and educators, not merely technology deployment. Regulatory bodies are embedding AI and digital health into curricula (e.g., BSc Nursing 2021) and mandating simulation labs, VR, and continuous competency centers to build capacity. Pharmacy Council of India sets minimum curriculum standards but permits institutions to add innovative subjects such as AI, management, and programming. AI and health‑ERP platforms can dramatically increase clinician productivity, address workforce shortages, and create a connected ecosystem across the entire health value chain. Workforce shortages have massive economic (≈15 % of global GDP) and climate‑health implications; digital solutions are viewed as a low‑hanging fruit to mitigate these challenges. Scalable‑in‑complexity product design is essential for institutions with varying digital maturity; solutions must hand‑hold users and grow with their readiness. Continuous upskilling through CME/CNE, district‑level simulation centers, and linking credits to license renewal is critical for existing professionals. Pricing and scaling of digital health products in India remain a major barrier; affordable, context‑specific models are needed. Collaboration among technology firms, academia, regulators, and policymakers is vital; initiatives such as the Global AI Academy and consortia of innovative health universities were announced.
Resolutions and action items
Launch of the Global AI Academy to provide cross‑disciplinary AI training for health professionals. Establishment of two national reference simulation centers (Gurgaon and Bhagalkot) and training of ~2,000 faculty on simulation tools. Recommendation for every district to have a simulation/competency center for nurses (e.g., initiatives in Uttar Pradesh and Bihar). Linking 150 CNE hours to nursing license renewal to incentivize mandatory digital‑health upskilling. Encouragement for pharmacy colleges to add AI, innovation, and management modules beyond PCI minimum requirements. Call for technology companies to design AI solutions that scale in complexity, matching institutional digital readiness. Proposal to adopt an “innovation pipeline management” framework for government to test, validate, and scale AI solutions. Suggestion to form consortia of innovative healthcare universities to pool resources and accelerate scaling of digital health solutions.
Unresolved issues
Specific pricing strategies for digital health products in the Indian market (question from Speaker 2 remained unanswered). Concrete mechanisms for training politicians and policymakers on emerging technologies beyond conceptual ideas. How to increase the number of health‑tech entrepreneurs/executors versus ideators; no definitive plan was provided. Detailed roadmap for bridging the skill gap of senior faculty and clinicians who lack AI training. Implementation plan for integrating AI‑driven health‑ERP systems across India’s fragmented health ecosystem. Expansion of digital‑health courses for nurses beyond the current offerings and ensuring nationwide access.
Suggested compromises
Use PCI’s minimum curriculum standards as a baseline while allowing institutions to voluntarily add AI, innovation, and management subjects (Dr. Rajiv). Combine mandatory CNE credits with free or low‑cost online platforms to make upskilling affordable and widely accessible (Dr. Sarvajit). Adopt an age‑agnostic training approach, focusing on mindset change rather than years of experience, to involve senior educators (Freddy & Speaker 1). Blend continuous curriculum revisions with regular CME/CNE programs to keep education current without waiting for decade‑long curriculum cycles.
Thought Provoking Comments
The biggest possibility for any profession in health care is for pharmacists through the whole retail chain distribution supply chain management and they are the people who can actually contribute up to the last mile of the value chain… this needs a strong change management… it is a professional and mindset change and thinking change for pharmacists.
Highlights a systemic blind‑spot – the under‑utilised role of community pharmacists – and frames the barrier as cultural/mindset rather than purely technical, opening a new angle on workforce optimisation.
Shifted the conversation from generic technology adoption to a specific sector (pharmacy) that requires structural and attitudinal change. It prompted later speakers to discuss capacity‑building and curriculum flexibility, and set the stage for Dr. Rajiv’s later point about regulatory freedom in pharmacy education.
Speaker: Dr. Rajiv
We have tried to integrate AI and digital health into the basic nursing curriculum… five simulation labs are now mandatory, we have national reference simulation centres, faculty preparedness programmes, and we link 150 CNE hours to licence renewal… we are also launching a one‑to‑two year digital health academy for nurses.
Provides a concrete, multi‑layered regulatory strategy for embedding digital competencies, showing how policy can drive both infrastructure (labs) and continuous professional development.
Introduced a tangible model that other participants referenced when discussing curriculum rigidity versus CME, and inspired the later discussion on scaling training through simulation centres and online platforms.
Speaker: Dr. Sarvajit Kaur
The economic cost of healthcare‑worker shortages is around 10‑12 million jobs, about 15 % of global GDP… climate change is both a driver and a consequence of health‑system emissions… AI can let one doctor serve 10 people, and a health‑ERP can break the siloed Indian system into an ecosystem.
Quantifies the macro‑economic stakes of workforce gaps, links them to climate, and proposes AI‑driven productivity and ecosystem integration as a systemic remedy.
Moved the dialogue from national‑level training issues to global economic and environmental implications, prompting participants to consider large‑scale digital ecosystems and the urgency of rapid, technology‑enabled solutions.
Speaker: Dr. Suresh Yadav
Technology companies should design AI solutions that are scalable in complexity, not just volume, so they can hand‑hold healthcare workers through the digital transformation journey… the product must adapt to the institution’s digital maturity.
Introduces the design principle of “scalable complexity,” shifting focus from technology as a static tool to a dynamic, capacity‑building partner that grows with users.
Redirected the conversation toward product design considerations, influencing later remarks about co‑creating curricula, faculty upskilling, and the need for platforms that evolve with user readiness.
Speaker: Speaker 1 (Tech entrepreneur)
We need an ‘innovation pipeline management’ in government – set ambitious targets, let entrepreneurs propose ideas, stage‑gate them, validate successes and then have policymakers scale what works. This is a way to re‑imagine how we fund and implement health solutions.
Proposes a structured, DARPA‑style framework for governmental adoption of emerging technologies, moving beyond ad‑hoc training to systematic innovation adoption.
Provided a concrete governance model that answered Dr. Gupta’s question about political engagement, and sparked discussion on how to institutionalise rapid tech adoption at the policy level.
Speaker: Anish
PCI sets the minimum curriculum requirements but does not forbid adding innovation, management, or modern technology papers. Institutions can go beyond the baseline if they wish.
Clarifies a regulatory misconception, empowering educational institutions to innovate within existing frameworks rather than waiting for formal curriculum revisions.
Reinforced earlier points about curriculum flexibility, encouraging participants to view regulatory bodies as enablers rather than bottlenecks, and supporting the argument for continuous upskilling initiatives.
Speaker: Dr. Rajiv
Overall Assessment

The discussion was propelled forward by a handful of incisive remarks that reframed the problem from isolated training gaps to systemic, cultural, and economic dimensions. Dr. Rajiv’s focus on pharmacist mindset, Dr. Kaur’s regulatory blueprint, and Dr. Yadav’s macro‑economic framing opened new thematic lanes—workforce distribution, policy‑driven digital integration, and global stakes. The tech‑entrepreneur’s design principle and Anish’s innovation‑pipeline model supplied practical pathways for translating those ideas into scalable solutions. Together, these comments shifted the tone from descriptive challenges to solution‑oriented strategies, prompting participants to explore curriculum flexibility, ecosystem building, and governance reforms, ultimately shaping a forward‑looking, multi‑level vision for digital health capacity building.

Follow-up Questions
Do we have enough capacity to have more entrepreneurs like you? We will have ideators but not entrepreneurs because we don’t have executors. How do you define this?
Seeks clarification on the gap between idea generation and execution in health‑tech entrepreneurship and how to build capacity for entrepreneurs.
Speaker: Speaker 1 (addressing Dr. Rajiv)
Should we rely on CME/continuous education rather than frequent curriculum changes to keep pace with technology?
Raises the challenge of updating academic curricula quickly and asks whether ongoing CME is a more feasible solution for keeping health professionals current with digital health advances.
Speaker: Dr. Gupta (to Dr. Sarvajit Kaur)
What are you doing to train drug inspectors and pharmacists to understand digital health technologies?
Highlights the need for regulatory personnel to be digitally literate and asks for specific capacity‑building measures for inspectors and pharmacists.
Speaker: Dr. Gupta (to Dr. Rajiv)
Do we have a crash course for politicians/policymakers to understand technology?
Points out that effective policy requires tech‑savvy legislators and asks whether a rapid training program exists for them.
Speaker: Dr. Gupta (to Anish)
What platform would be good to scale mental‑health solutions for healthcare professionals in India?
Seeks guidance on a scalable, context‑appropriate digital platform to deliver mental‑health support to doctors, nurses, and other health workers.
Speaker: Speaker 2 (to Anish)
How can pricing models for digital‑health solutions be adapted to the Indian market compared with the US?
Requests strategies to make pricing affordable and sustainable in India, noting failures of US‑based pricing approaches when applied locally.
Speaker: Speaker 2 (to Anish)
How can we train current faculty (often senior) to teach AI and digital health to Gen‑Z learners when they themselves lack that training?
Identifies a generational skills gap among educators and asks for solutions to enable older faculty to effectively train the next generation in AI.
Speaker: Dr. Freddy
Implementation of district‑level simulation centers for nursing competency building
Calls for research on the feasibility, resource requirements, and impact of establishing simulation/competency centers in every district to upskill the existing nursing workforce.
Speaker: Dr. Sarvajit Kaur
Developing rapid curriculum adaptation mechanisms for digital‑health education
Suggests the need to study agile models that allow curricula to evolve continuously with technology rather than waiting a decade for formal revisions.
Speaker: Dr. Gupta; Dr. Sarvajit Kaur
Quantifying the economic impact of healthcare‑workforce shortages on global GDP and the climate‑health nexus
Proposes further investigation into the macro‑economic costs of staffing gaps and how health‑system emissions intersect with climate change.
Speaker: Dr. Suresh Yadav
Integrating health‑ERP systems to reduce fragmentation in the Indian healthcare ecosystem
Calls for research on designing and deploying enterprise‑resource‑planning solutions that connect doctors, pharmacists, nurses, and volunteers across silos.
Speaker: Dr. Suresh Yadav
Evaluating cross‑border telemedicine ecosystems that connect Indian doctors with the diaspora and global patients
Suggests studying models for seamless international tele‑consultations, diagnostics sharing, and medication delivery.
Speaker: Dr. Suresh Yadav
Pricing strategies for digital‑health products in emerging markets like India
Requests systematic research into cost structures, willingness‑to‑pay, and subsidy models suitable for the Indian context.
Speaker: Speaker 2
Assessing the impact of linking mandatory CNE hours to registration renewal on nurse upskilling
Proposes evaluating whether tying continuing‑education credits to license renewal effectively improves nursing competencies.
Speaker: Dr. Sarvajit Kaur
Innovation pipeline management in government for health‑tech adoption (DARPA‑style model)
Suggests exploring a structured, stage‑gate approach to fund, test, and scale health‑technology innovations within public policy frameworks.
Speaker: Anish
Role of health‑tech companies in co‑designing health‑workforce curricula and training programs
Calls for research on partnerships between tech firms and academic institutions to create hands‑on courses that prepare future health workers.
Speaker: Speaker 1
Effectiveness of remote‑surgery training for older physicians adopting new technologies
Highlights the need to study how legacy clinicians transition to tele‑surgery and other AI‑enabled practices.
Speaker: Dr. Rajiv
Influence of age versus mindset on AI adoption among healthcare professionals
Suggests investigating whether attitudes or chronological age are the primary barriers to embracing AI in clinical settings.
Speaker: Dr. Gupta; Dr. Rajiv

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