Data and the Art of Surgical Preference Card Maintenance
Optimization of surgical preference cards with regression models has the potential to reduce surgical waste, with the greatest reduction in waste seen with optimizing existing cards after stratifying at the procedure level.
Authors
- Ryan Lopez (ORCID: https://orcid.org/0000-0002-4256-5806)
- Chris Longhurst (ORCID: https://orcid.org/0000-0003-4908-6856)
- Patricia Lopez
- Kristin L. Mekeel (ORCID: https://orcid.org/0000-0002-8870-1287)
- Zhihan Li (ORCID: https://orcid.org/0000-0001-7822-5179)
- Karandeep Singh
- Sean Perez (ORCID: https://orcid.org/0000-0003-3196-629X)
- Leslie Joe
- Bryan M. Clary
- Adir Mancebo
- Mehri Sadri
- Paul Benavidez
- Eduardo Spiegel-Pinzon
Institutions
- University of Colorado Hospital (US)
- Colorado School of Public Health (US)
- University of San Diego (US)
- University of California San Diego (US)
- Alliance Data (United States) (US)
- University of Colorado Denver (US)
Publication Details
- Journal
- JAMA Surgery
- Published
- 2025-11-26
- DOI
- https://doi.org/10.1001/jamasurg.2025.5179
- Primary Topic
- Healthcare Operations and Scheduling Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00