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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ISSN:1573-689X
DOI:10.1007/s10916-023-01978-5