A Framework and Method for Measuring the Implementation of Data Science in Critical Care.

Saved in:
Bibliographic Details
Title: A Framework and Method for Measuring the Implementation of Data Science in Critical Care.
Authors: Woznica D; Society of Critical Care Medicine, Mount Prospect, IL., Al-Hakim T; Society of Critical Care Medicine, Mount Prospect, IL., Kumar VK; Society of Critical Care Medicine, Mount Prospect, IL., Cobb JP; Division of Trauma, Emergency Surgery and Surgical Critical Care, Department of Surgery, University of Southern California, Los Angeles, CA., Kamaleswaran R; Department of Biomedical Informatics, Duke University, Durham, NC., Khanna AK; Department of Anesthesiology, Section on Critical Care Medicine, Atrium Health Wake Forest Baptist Medical Center, Wake Forest School of Medicine, Winston-Salem, NC.; Outcomes Research Consortium, Houston, TX., Laudanski K; Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN., Zimmerman JJ; Division of Pediatric Critical Care Medicine, Department of Pediatrics, University of Washington, Seattle, WA., Reuter-Rice K; Department of Biomedical Informatics, Duke University, Durham, NC.; School of Nursing, School of Medicine, Departments of Pediatrics and Neurosurgery, Duke University, Durham, NC.
Source: Critical care explorations [Crit Care Explor] 2026 Feb 17; Vol. 8 (2), pp. e1372. Date of Electronic Publication: 2026 Feb 17 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Wolters Kluwer Health Country of Publication: United States NLM ID: 101746347 Publication Model: eCollection Cited Medium: Internet ISSN: 2639-8028 (Electronic) Linking ISSN: 26398028 NLM ISO Abbreviation: Crit Care Explor Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2639-8028
DOI:10.1097/CCE.0000000000001372