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. |
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| 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 |
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| DOI: | 10.1007/s10916-023-01978-5 |