Work

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

Year: 2023

Type: article

Study design: Observational Study

Source: Journal of Medical Systems

DOI: 10.1007/s10916-023-01978-5

Authors: Rachel Kohn, Michael O. Harhay, Gary E. Weissman, Ryan Urbanowicz, Wei Wang, George L. Anesi, Stefania Scott, Brian Bayes, S. Ryan Greysen, Scott D. Halpern, Meeta Prasad Kerlin

Institutions: Leonard Davis Institute of Health Economics, University of Pennsylvania, Cedars-Sinai Medical Center

Language: English

Topic: Emergency and Acute Care Studies

Subfield: Emergency Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, National Heart, Lung, and Blood Institute

Awards: G2953150376, Improving the measurement and analysis of long-term, patient-centered outcomes following acute respiratory failure, The influence of ward capacity strain on outcomes among survivors of acute respiratory failure

OpenAlex ID: W4385606833

FWCI: 2.886

Cites: 65

Cited by: 10

Related to: 10