Charting a Path to the Quintuple Aim: Harnessing AI to Address Social Determinants of Health

Yash B. Shah, Zachary N. Goldberg, Erika D. Harness and David B. Nash ()
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Yash B. Shah: Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, USA
Zachary N. Goldberg: Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, USA
Erika D. Harness: Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, USA
David B. Nash: Jefferson College of Population Health, Philadelphia, PA 19107, USA

IJERPH, 2024, vol. 21, issue 6, 1-8

Abstract: The Quintuple Aim seeks to improve healthcare by addressing social determinants of health (SDOHs), which are responsible for 70–80% of medical outcomes. SDOH-related concerns have traditionally been addressed through referrals to social workers and community-based organizations (CBOs), but these pathways have had limited success in connecting patients with resources. Given that health inequity is expected to cost the United States nearly USD 300 billion by 2050, new artificial intelligence (AI) technology may aid providers in addressing SDOH. In this commentary, we present our experience with using ChatGPT to obtain SDOH management recommendations for archetypal patients in Philadelphia, PA. ChatGPT identified relevant SDOH resources and provided contact information for local organizations. Future exploration could improve AI prompts and integrate AI into electronic medical records to provide healthcare providers with real-time SDOH recommendations during appointments.

Keywords: social determinants of health; health-related social needs; artificial intelligence; ChatGPT; disparities in care; healthcare management; quintuple aim (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2024
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