Development and validation of computable social phenotypes for health-related social needs
CPs may help to identify patients who may benefit from additional social needs screening. Future work should explore the use of area-level features via geospatial data and natural language processing to improve model performance.
Authors
- Christopher A. Harle (ORCID: https://orcid.org/0000-0002-4803-3632)
- Joshua R. Vest (ORCID: https://orcid.org/0000-0002-7226-9688)
- Megan E. Gregory (ORCID: https://orcid.org/0000-0002-6888-6886)
- Tanja Magoč (ORCID: https://orcid.org/0000-0001-8213-2266)
- Cassidy McNamee (ORCID: https://orcid.org/0009-0006-4991-0613)
- Suranga N. Kasthurirathne
Institutions
- Regenstrief Institute (US)
- University of Florida (US)
- Indiana University – Purdue University Indianapolis (US)
- National Patient Safety Foundation (US)
Publication Details
- Journal
- JAMIA Open
- Published
- 2024-12-26
- DOI
- https://doi.org/10.1093/jamiaopen/ooae150
- Citations
- 1
- Primary Topic
- Health disparities and outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.53
Funders
- Eli Lilly and Company
- Lilly Endowment