AJMC January 19, 2022
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...