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Impact of Risk Adjustment Using Clinical vs Administrative Data on Hospital Sepsis Mortality Comparisons.
Rhee, Chanu; Li, Zhonghe; Wang, Rui; Song, Yue; Kadri, Sameer S; Septimus, Edward J; Chen, Huai-Chun; Fram, David; Jin, Robert; Poland, Russell; Sands, Kenneth; Klompas, Michael.
Afiliação
  • Rhee C; Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.
  • Li Z; Division of Infectious Diseases, Brigham and Women's Hospital, Boston, Massachusetts, USA.
  • Wang R; Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.
  • Song Y; Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.
  • Kadri SS; Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.
  • Septimus EJ; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
  • Chen HC; Critical Care Medicine Department, Clinical Center, National Institutes of Health, Bethesda, Massachusetts, USA.
  • Fram D; Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.
  • Jin R; Texas A&M Health Science Center College of Medicine, Houston, Texas, USA.
  • Poland R; Commonwealth Informatics, Waltham, Massachusetts, USA.
  • Sands K; Commonwealth Informatics, Waltham, Massachusetts, USA.
  • Klompas M; Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.
Open Forum Infect Dis ; 7(6): ofaa213, 2020 Jun.
Article em En | MEDLINE | ID: mdl-32617377
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Open Forum Infect Dis Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Open Forum Infect Dis Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos