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A Data-Driven Analysis of Ward Capacity Strain Metrics That Predict Clinical Outcomes Among Survivors of Acute Respiratory Failure.

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Title: A Data-Driven Analysis of Ward Capacity Strain Metrics That Predict Clinical Outcomes Among Survivors of Acute Respiratory Failure.
Authors: Kohn R; Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. rachel.kohn2@pennmedicine.upenn.edu.; Palliative and Advanced Illness Research (PAIR) Center, University of Pennsylvania, Philadelphia, PA, USA. rachel.kohn2@pennmedicine.upenn.edu.; Leonard Davis Institute of Health Economics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. rachel.kohn2@pennmedicine.upenn.edu., Harhay MO; Palliative and Advanced Illness Research (PAIR) Center, University of Pennsylvania, Philadelphia, PA, USA.; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Weissman GE; Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.; Palliative and Advanced Illness Research (PAIR) Center, University of Pennsylvania, Philadelphia, PA, USA.; Leonard Davis Institute of Health Economics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Urbanowicz R; Cedars-Sinai, West Hollywood, CA, USA., Wang W; Palliative and Advanced Illness Research (PAIR) Center, University of Pennsylvania, Philadelphia, PA, USA., Anesi GL; Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.; Palliative and Advanced Illness Research (PAIR) Center, University of Pennsylvania, Philadelphia, PA, USA.; Leonard Davis Institute of Health Economics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Scott S; Palliative and Advanced Illness Research (PAIR) Center, University of Pennsylvania, Philadelphia, PA, USA., Bayes B; Palliative and Advanced Illness Research (PAIR) Center, University of Pennsylvania, Philadelphia, PA, USA., Greysen SR; Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.; Leonard Davis Institute of Health Economics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Halpern SD; Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.; Palliative and Advanced Illness Research (PAIR) Center, University of Pennsylvania, Philadelphia, PA, USA.; Leonard Davis Institute of Health Economics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.; Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Kerlin MP; Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.; Palliative and Advanced Illness Research (PAIR) Center, University of Pennsylvania, Philadelphia, PA, USA.; Leonard Davis Institute of Health Economics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Source: Journal of medical systems [J Med Syst] 2023 Aug 05; Vol. 47 (1), pp. 83. Date of Electronic Publication: 2023 Aug 05.
Publication Type: Journal Article
Journal Info: Publisher: Kluwer Academic/Plenum Publishers Country of Publication: United States NLM ID: 7806056 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-689X (Electronic) Linking ISSN: 01485598 NLM ISO Abbreviation: J Med Syst Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: A Data-Driven Analysis of Ward Capacity Strain Metrics That Predict Clinical Outcomes Among Survivors of Acute Respiratory Failure.
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  Data: <searchLink fieldCode="AU" term="%22Kohn+R%22">Kohn R</searchLink>; Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. rachel.kohn2@pennmedicine.upenn.edu.; Palliative and Advanced Illness Research (PAIR) Center, University of Pennsylvania, Philadelphia, PA, USA. rachel.kohn2@pennmedicine.upenn.edu.; Leonard Davis Institute of Health Economics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. rachel.kohn2@pennmedicine.upenn.edu.<br /><searchLink fieldCode="AU" term="%22Harhay+MO%22">Harhay MO</searchLink>; Palliative and Advanced Illness Research (PAIR) Center, University of Pennsylvania, Philadelphia, PA, USA.; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.<br /><searchLink fieldCode="AU" term="%22Weissman+GE%22">Weissman GE</searchLink>; Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.; Palliative and Advanced Illness Research (PAIR) Center, University of Pennsylvania, Philadelphia, PA, USA.; Leonard Davis Institute of Health Economics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.<br /><searchLink fieldCode="AU" term="%22Urbanowicz+R%22">Urbanowicz R</searchLink>; Cedars-Sinai, West Hollywood, CA, USA.<br /><searchLink fieldCode="AU" term="%22Wang+W%22">Wang W</searchLink>; Palliative and Advanced Illness Research (PAIR) Center, University of Pennsylvania, Philadelphia, PA, USA.<br /><searchLink fieldCode="AU" term="%22Anesi+GL%22">Anesi GL</searchLink>; Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.; Palliative and Advanced Illness Research (PAIR) Center, University of Pennsylvania, Philadelphia, PA, USA.; Leonard Davis Institute of Health Economics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.<br /><searchLink fieldCode="AU" term="%22Scott+S%22">Scott S</searchLink>; Palliative and Advanced Illness Research (PAIR) Center, University of Pennsylvania, Philadelphia, PA, USA.<br /><searchLink fieldCode="AU" term="%22Bayes+B%22">Bayes B</searchLink>; Palliative and Advanced Illness Research (PAIR) Center, University of Pennsylvania, Philadelphia, PA, USA.<br /><searchLink fieldCode="AU" term="%22Greysen+SR%22">Greysen SR</searchLink>; Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.; Leonard Davis Institute of Health Economics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.<br /><searchLink fieldCode="AU" term="%22Halpern+SD%22">Halpern SD</searchLink>; Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.; Palliative and Advanced Illness Research (PAIR) Center, University of Pennsylvania, Philadelphia, PA, USA.; Leonard Davis Institute of Health Economics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.; Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.<br /><searchLink fieldCode="AU" term="%22Kerlin+MP%22">Kerlin MP</searchLink>; Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.; Palliative and Advanced Illness Research (PAIR) Center, University of Pennsylvania, Philadelphia, PA, USA.; Leonard Davis Institute of Health Economics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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      – TitleFull: A Data-Driven Analysis of Ward Capacity Strain Metrics That Predict Clinical Outcomes Among Survivors of Acute Respiratory Failure.
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