Using Large Language Models as Clinical Decision Support Tools in a Large Urgent Care Practice in Nairobi, Kenya

Large language models have the greatest potential to improve the quality of care in settings where the baseline quality of care is low, healthcare providers have more limited training, and the scope of practice is broad. At Penda Health, in Nairobi, Kenya, non-physician healthcare providers (Clinical Officers) provide urgent care and primary care services to over 1000 low-income Kenyans per day. LLMs have a real opportunity to provide “co-pilot” advice on diagnosis and treatment across this broad spectrum of care and lead to meaningful improvements in the quality of care provided. In this talk, I will present how we implemented a ChatGPT-4-based CDS co-pilot and how we evaluated the impact of the co-pilot on the quality of care.

About the speaker

Robert Korom

Chief Medical Officer at Penda Health

Dr. Robert Korom is a board-certified internal medicine physician. Dr. Korom earned his medical degree from Weill Cornell Medical College in New York City, USA, and completed his medical training at Massachusetts General Hospital in Boston, where he was a clinical fellow at Harvard Medical School. Dr. Korom has published several peer-reviewed studies of Penda’s work in clinical quality improvement. He works closely with Penda’s digital health and technology teams to improve clinical decision making and enhance patient experience.



Sessions: April 2nd – 3rd 2024
Trainings: April 15th – 19th 2024



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