RT Journal Article
SR Electronic
T1 Supporting the Capture of Social Needs Through Natural Language Processing
JF The Journal of the American Board of Family
                Medicine
JO J Am Board Fam Med
FD American Board of Family Medicine
SP 513
OP 514
DO 10.3122/jabfm.2022.220415R0
VO 36
IS 3
A1 Frey, Lewis J.
A1 Hughes Halbert, Chanita
A1 Blasy, Christopher D.
YR 2023
UL http://www.jabfm.org/content/36/3/513.abstract
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.