Identification of Social Risk‐Related Referrals in Discrete Primary Care Electronic Health Record Data: Lessons Learned From a Novel Methodology
EHR documentation of social risk referrals in structured data fields is inconsistent. Further work should establish best practices, especially given emerging policies that tie payments to documentation of social risk screening and intervention provision. Community health centers may struggle to use data elements such as smartphrases and procedure codes to monitor and report on their social risk referrals until standardized coding practices are established and effectively implemented.
Authors
- Jenine Dankovchik (ORCID: https://orcid.org/0000-0002-3880-0164)
- Ned Mossman
- Seth A. Berkowitz (ORCID: https://orcid.org/0000-0003-1030-4297)
- Jenna Donovan (ORCID: https://orcid.org/0000-0002-2793-0457)
- Suzanne Morrissey
- Rose Gunn (ORCID: https://orcid.org/0000-0002-2673-0699)
- Rachel Gold (ORCID: https://orcid.org/0000-0001-6326-5012)
- Aileen Ochoa
- Cristina Huebner Torres (ORCID: https://orcid.org/0000-0002-4773-6010)
Institutions
- University of North Carolina at Chapel Hill (US)
- Kaiser Permanente Center for Health Research (US)
- Ochin (US)
Publication Details
- Journal
- Health Services Research
- Published
- 2025-02-06
- DOI
- https://doi.org/10.1111/1475-6773.14443
- Citations
- 2
- Primary Topic
- Food Security and Health in Diverse Populations
- Type
- article
- Field-Weighted Citation Impact
- 5.63
Funders
- National Institutes of Health
- National Institute of Diabetes and Digestive and Kidney Diseases