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

Datos Bibliográficos

ID9104615
AutoresGary E Weissman (0000-0001-9588-3819, Pulmonary, Allergy, and Critical Care Division, Perelman School of Medicine, autor de correspondencia), 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)
Año2018
Volumen56
Número2
Páginas202-202
Fecha de publicación2018-02-01
Open AccessNo
TipoARTICLE
RevistaMedical Care (JOURNAL)
Identificadores de la revistaISSN: 0025-7079 • E-ISSN: 1537-1948
EditorialOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0000000000000848
PMID29189575
OpenAlexW2770769135
IdiomaEN
Referencias citadas4

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

  • Comparing Population-based Risk-stratification Model Performance Using Demographic, Diagnosis and Medication Data Extracted From Outpatient Electronic Health Records Versus Administrative Claims

    Hadi Kharrazi, Winnie Chi et al.•Medical Care•2017

Altamente citadoNo

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