Adaptation of an NLP system to a new healthcare environment to identify social determinants of health.
Journal
Journal of biomedical informatics
ISSN: 1532-0480
Titre abrégé: J Biomed Inform
Pays: United States
ID NLM: 100970413
Informations de publication
Date de publication:
08 2021
08 2021
Historique:
received:
22
02
2021
revised:
16
06
2021
accepted:
21
06
2021
pubmed:
27
6
2021
medline:
14
8
2021
entrez:
26
6
2021
Statut:
ppublish
Résumé
Social determinants of health (SDoH) are increasingly important factors for population health, healthcare outcomes, and care delivery. However, many of these factors are not reliably captured within structured electronic health record (EHR) data. In this work, we evaluated and adapted a previously published NLP tool to include additional social risk factors for deployment at Vanderbilt University Medical Center in an Acute Myocardial Infarction cohort. We developed a transformation of the SDoH outputs of the tool into the OMOP common data model (CDM) for re-use across many potential use cases, yielding performance measures across 8 SDoH classes of precision 0.83 recall 0.74 and F-measure of 0.78.
Identifiants
pubmed: 34174396
pii: S1532-0464(21)00180-5
doi: 10.1016/j.jbi.2021.103851
pmc: PMC8386129
mid: NIHMS1720934
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
103851Subventions
Organisme : NHLBI NIH HHS
ID : K08 HL136850
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL130828
Pays : United States
Organisme : NLM NIH HHS
ID : T32 LM012204
Pays : United States
Informations de copyright
Published by Elsevier Inc.
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