PT  - JOURNAL ARTICLE
AU  - Frey, Lewis J.
AU  - Hughes Halbert, Chanita
AU  - Blasy, Christopher D.
TI  - Supporting the Capture of Social Needs Through Natural Language Processing
AID  - 10.3122/jabfm.2022.220415R0
DP  - 2023 May 08
TA  - The Journal of the American Board of Family
                Medicine
PG  - 513--514
VI  - 36
IP  - 3
4099  - http://www.jabfm.org/content/36/3/513.short
4100  - http://www.jabfm.org/content/36/3/513.full
SO  - J Am Board Fam Med2023 May 08; 36
AB  - Social factors impact morbidity and mortality among patients. Documenting social needs in the clinical notes is currently widely done by family physicians. The unstructured format of information on social factors in electronic health records limits the ability of providers to address these issues. A proposed solution is using natural language processing to identify social needs from the electronic health record. This could support physicians in capturing structured social needs information that is consistent and reproducible without increasing documentation burden.