Session ID: 

Developing a Social Determinants of Health Data Model for PRAPARE

10:00am - 11:00am Thursday, February 14
Orlando - Orange County Convention Center


This session will provide detailed information about the efforts and outcome of developing a common data model for collecting social and economic risk factors data and the organization of those data into a data model which can be used in conjunction with other existing/emerging data models (PCORnet, CHARN) to improve the understanding of the impact of social and economic risk on cost and quality of care.

Learning Objectives: 

  • Describe the process for creating a CHC common data model including SDOH data elements
  • Discuss how a CHC common data model will be used to improve the representation of under-represented communities in health services research
  • Discuss aspects of the proposed data model, including key value-sets related to social and economic risk factor data and how those data elements related to existing/emerging common data models
  • Describe the PRAPARE protocol and the importance of standardized collection of SDOH data
  • Discuss how the PRAPARE data model relates to other tools utilized to collect social and economic risk factor data


Chief Informatics Officer,
Research Manager,
National Association of Community Health Centers


Chief Quality, Chief Clin Transformation Officer
Clinical Informaticists
Data Scientist