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Incomplete Comparisons Between the Predictive Power of Data From Administrative Claims and Electronic Health Records

Bibliographic Data

ID9104615
AuthorsGary E Weissman (0000-0001-9588-3819, Pulmonary, Allergy, and Critical Care Division, Perelman School of Medicine, corresponding author), Michael O Harhay (0000-0002-0553-674X, Institute of Health Economics), Michael Harhay (Department of Medicine, Palliative and Advanced Illness Research Center, Perelman School of Medicine)
Year2018
Volume56
Issue2
Pages202-202
Publication date2018-02-01
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0000000000000848
PMID29189575
OpenAlexW2770769135
LanguageEN
References cited4

Pulmonary, Allergy, and Critical Care Division, Perelman School of Medicine †Department of Medicine, Palliative and Advanced Illness Research Center, Perelman School of Medicine ‡Leonard Davis Institute of Health Economics §Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA G.E.W. is supported by NIH T32 HL098054. M.O.H. declares no conflict of interest

Biostatistics · Clinical epidemiology · Family medicine · Health care · Political science · Public health · Emergency and Acute Care Studies · Epidemiology · Health Informatics · Healthcare cost, quality, practices · Healthcare Policy and Management · Law · Medicine · Nursing

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Highly citedNo

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