A Framework and Method for Measuring the Implementation of Data Science in Critical Care
We believe that our model can facilitate more rigorous measurement of theoretically grounded, empirically assessable factors driving implementation of data science concepts, skills, and tools in critical care.
Authors
- Rishikesan Kamaleswaran (ORCID: https://orcid.org/0000-0001-8366-4811)
- Vishakha K. Kumar (ORCID: https://orcid.org/0000-0003-4998-5114)
- Daniel M. Woznica
- Jerry J. Zimmerman (ORCID: https://orcid.org/0000-0002-6936-3139)
- Krzysztof Laudański (ORCID: https://orcid.org/0000-0002-7373-0851)
- Karin Reuter-Rice
- Ashish K. Khanna
- Tamara Al-Hakim
- J. Perren Cobb
Institutions
- University of Southern California (US)
- Atrium Health Wake Forest Baptist (US)
- Outcomes Research Consortium (US)
- Duke University (US)
- University of Washington (US)
- Society of Critical Care Medicine (US)
- Mayo Clinic in Arizona (US)
Publication Details
- Journal
- Critical Care Explorations
- Published
- 2026-02-01
- DOI
- https://doi.org/10.1097/cce.0000000000001372
- Primary Topic
- Health Policy Implementation Science
- Type
- article
- Field-Weighted Citation Impact
- 0.00