AJMC January 19, 2022
Joshua R. Vest, PhD, MPH, Julia Adler-Milstein, PhD, Laura M. Gottlieb, MD, MPH, Jiang Bian, PhD, Thomas R. Campion Jr, PhD, Genna R. Cohen, PhD, Nathan Donnelly, MS, Jeremy Harper, MS, Timothy R. Huerta, PhD, MS, John P. Kansky, MSE, MBA, Hadi Kharrazi, MD, MPH, Anjum Khurshid, MD, PhD, Harold E. Kooreman, MA, MSW, Cara McDonnell, MPH, J. Marc Overhage, MD, PhD, Matthew S. Pantell, MD, MS, Wendy Parisi, MS, Elizabeth A. Shenkman, PhD, William M. Tierney, MD, Sarah Wiehe, MD, Christopher A. Harle, PhD

An expert panel identified and assessed electronic health record and health information exchange structured data elements to support future development of social risk factor computable phenotyping.

ABSTRACT

Objectives: Computable social risk factor phenotypes derived from routinely collected structured electronic health record (EHR) or health information exchange (HIE) data may represent a feasible and robust approach to measuring social factors. This study convened an expert panel to identify and assess the quality of individual EHR and HIE structured data elements that could be used as components in future computable social risk factor phenotypes.

Study Design: Technical expert panel.

Methods: A 2-round Delphi technique included 17 experts with an in-depth knowledge of available EHR and/or HIE data. The first-round identification sessions followed...

Today's Sponsors

LEK
ZeOmega

Today's Sponsor

LEK

 
Topics: EMR / EHR, Equity/SDOH, Health IT, Healthcare System, HIE (Interoperability), Patient / Consumer, Provider, Survey / Study, Technology, Trends
Transforming The Narrative On Homelessness
Models adjusting for geography show racial gaps in telehealth use
Most providers aren't ready to meet new health equity regulatory requirements
New federal bill seeks to 'ban DEI in medicine'
Maternal health inequities persist. Can digital tools be part of the solution?

Share This Article