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Improving Health Equity by Analyzing Social Determinants of Health from the Electronic Health Records

Wang, Yanshan (2022) Improving Health Equity by Analyzing Social Determinants of Health from the Electronic Health Records. In: Pitt Momentum Fund 2022.

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Abstract

Social determinants of health (SDOH) are the conditions under which people are born, grow, live, work, and age, and include factors such as socioeconomic status, education, employment, lifestyles, social support networks, access to medical care, and neighborhood characteristics. These factors have a major impact on health equity. With the passing of the HITECH Act in 2009, there has been increased emphasis on the use of electronic health records (EHRs) to document SDOH. While most of the documentation related to SDOH exists in free-text clinical notes, information on SDOH is also manifest in the structured data elements such as diagnosis codes. As a result, there is a big gap in leveraging heterogenous data within EHRs to infer a patient’s SDOH status. This study has two goals; 1) develop and evaluate artificial intelligence (AI) and natural language processing (NLP) models to automatically infer a patient’s respective SDOH from his/her EHRs; and 2) analyze the extracted SDOH information and provide implications for health equity. We hypothesize that applying digital technologies (e.g., AI, NLP) to extract and analyze the SDOH information embedded in EHRs will facilitate social and clinical research on SDOH, help understand current health disparities, and improve health equity among diverse populations.


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Details

Item Type: Conference or Workshop Item (Other)
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Wang, YanshanYAW89@pitt.edu0000-0003-4433-7839
Centers: Other Centers, Institutes, Offices, or Units > Office of Sponsored Research > Pitt Momentum Fund
Date: 2022
Event Title: Pitt Momentum Fund 2022
Event Type: Other
DOI or Unique Handle: 10.18117/9phq-9e19
Schools and Programs: School of Health and Rehabilitation Sciences > Health Information Management
Refereed: No
Uncontrolled Keywords: Seeding Grants - Health & Life Sciences
Date Deposited: 07 Mar 2022 20:07
Last Modified: 07 Mar 2022 20:07
URI: http://d-scholarship.pitt.edu/id/eprint/42306

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