AI innovation at Singapore’s NUHS reduces workload

Singapore’s National University Health System (NUHS) is leveraging advanced AI technologies to enhance efficiency and reduce administrative workloads in healthcare. Through the RUSSELL-GPT platform, which integrates large language models (LLMs) via Amazon Web Services (AWS) Bedrock, over a thousand clinicians now benefit from automated tasks such as drafting referrals and summarising patient data, reducing administrative time by 40%.

The NUHS team is working on event-driven Generative AI models that can perform tasks automatically when triggered by specific events, such as drafting discharge letters without needing any prompts. This approach aims to streamline processes further and reduce the administrative burden on healthcare staff.

Ensuring patient data security is a top priority for NUHS, with robust measures in place to keep data within Singapore and comply with local privacy laws. RUSSELL-GPT also includes features to mitigate the risks of AI hallucinations, with mandatory training for users on recognising and managing such occurrences.

Despite the promise of LLMs, NUHS acknowledges that these models are not a cure-all. Classical AI still plays a critical role in tasks like clustering information and providing predictive insights, underlining the need for a balanced use of it in healthcare.