Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57124, first published .
Leveraging Artificial Intelligence and Data Science for Integration of Social Determinants of Health in Emergency Medicine: Scoping Review

Leveraging Artificial Intelligence and Data Science for Integration of Social Determinants of Health in Emergency Medicine: Scoping Review

Leveraging Artificial Intelligence and Data Science for Integration of Social Determinants of Health in Emergency Medicine: Scoping Review

Ethan E Abbott   1, 2, 3, 4 * , MSCR, DO ;   Donald Apakama   1, 2, 3, 4 * , MS, MD ;   Lynne D Richardson   1, 2, 3 , MD ;   Lili Chan   4, 5, 6 , MD ;   Girish N Nadkarni   3, 4, 5, 6, 7 , MPH, MD

1 Department of Emergency Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States

2 Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, United States

3 Institute for Health Equity Research (IHER), Icahn School of Medicine at Mount Sinai, New York, NY, United States

4 Division of Data-Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States

5 Department of Medicine, Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, NY, United States

6 The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States

7 Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States

*these authors contributed equally

Corresponding Author:

  • Ethan E Abbott, MSCR, DO
  • Department of Emergency Medicine
  • Icahn School of Medicine at Mount Sinai
  • 1 Gustave L Levy Place
  • New York, NY, 10029
  • United States
  • Phone: 1 2122416500
  • Email: ethan.abbott@mountsinai.org