title: Representation of Functional Status Concepts from Clinical Documents and Social Media Sources by Standard Terminologies.
abstract: Patient-reported functional status is widely recognized as an important patient-centered outcome that adds value to medical care, research, and quality improvement. Functional status outcomes are, however, not routinely or uniformly collected in the medical record, except in certain small patient populations (e.g. geriatrics, nursing home residents). To utilize patient reported functional status for clinical research and practice, we manually collected 2,763 terms from clinical records and social media sites and modeled them on the widely used Short Form-36 Health Survey. We then examined the coverage of the Unified Medical Language System (UMLS) for these functional status terms through automated mapping. Most terms (85.9%) did not have exact matches in the UMLS. The partial matches were prevalent, however, they typically did not capture the terms' exact semantics. Our study suggests that there is a need to extend existing standard terminologies to incorporate functional status terms used by patients and clinicians.
authors.affiliation: Biomedical Informatics, School of Medicine, University of Utah, Salt Lake City, UT, USA.
authors.forename: Jinqiu
authors.initials: J
authors.lastname: Kuang
authors.affiliation: Informatics Decision-Enhancement and Analytic Sciences (IDEAS) Center, George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT, USA.
authors.forename: April F
authors.initials: AF
authors.lastname: Mohanty
authors.affiliation: Biomedical Informatics, School of Medicine, University of Utah, Salt Lake City, UT, USA.
authors.forename: V H
authors.initials: VH
authors.lastname: Rashmi
authors.affiliation: Biomedical Informatics, School of Medicine, University of Utah, Salt Lake City, UT, USA; Informatics Decision-Enhancement and Analytic Sciences (IDEAS) Center, George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT, USA.
authors.forename: Charlene R
authors.initials: CR
authors.lastname: Weir
authors.affiliation: Biomedical Informatics, School of Medicine, University of Utah, Salt Lake City, UT, USA.
authors.forename: Bruce E
authors.initials: BE
authors.lastname: Bray
authors.affiliation: Biomedical Informatics, School of Medicine, University of Utah, Salt Lake City, UT, USA; Informatics Decision-Enhancement and Analytic Sciences (IDEAS) Center, George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT, USA.
authors.forename: Qing
authors.initials: Q
authors.lastname: Zeng-Treitler
mesh_terms: D002318:Cardiovascular Diseases; D057286:Electronic Health Records; D006304:Health Status; D006801:Humans; D063868:Patient Outcome Assessment; D012660:Semantics; D061108:Social Media; D017432:Unified Medical Language System; D018875:Vocabulary, Controlled