EP 5 Lili Chan, MD, Mount Sinai Health
Episode 5 Show Notes
🚑 AI, Social Determinants of Health & Nephrology – In this episode, Dr. DJ Apakama & Dr. Ethan Abbott sit down with Dr. Lili Chan, a nephrologist and AI researcher at Mount Sinai Health System, to explore how AI can be used to address social risk factors in patient care.
🎙️ Featured Guest:
Dr. Lili Chan – Associate Professor of Medicine at Icahn School of Medicine at Mount Sinai.
Researches machine learning, natural language processing (NLP), and AI’s role in improving outcomes for patients with kidney disease.
🧠 Key Topics:
✅ AI & Social Determinants of Health (SDoH) – Using AI to identify and address social risks in nephrology & emergency medicine.
✅ Natural Language Processing (NLP) for Patient Data – Automating symptom detection and social risk factor analysis.
✅ Equitable AI Implementation – Ensuring machine learning models work across diverse populations.
✅ Future of AI in Healthcare – How AI-driven risk models could improve quality of life & care coordination.
📄 Paper Discussed:
📰 Use of a Large Language Model to Assess Clinical Acuity of Adults in the Emergency Department (JAMA Network Open) – A study from UCSF that evaluated GPT-4’s ability to assess patient acuity from clinical histories, comparing it to human physicians.
🔍 Why it Matters:
AI is increasingly used to tackle social determinants of health, but how well does it actually work? This episode explores the promise and pitfalls of AI in identifying and addressing social risk factors in emergency & nephrology care.
🎧 Listen now & learn how AI is shaping the future of equitable healthcare!
