Enhancing surgical efficiency: predicting same-day cancellations in urologic procedures
This is the first study to integrate comprehensive SDOH data into a risk score model for predicting DOS cancellations. With an AUC of 0.80, the model offers a novel tool to help identify high-risk patients of DOS cancellation and guide preoperative interventions. However, further studies assessing the external validity of our model at other clinical sites are necessary.
Authors
- John Neuhaus (ORCID: https://orcid.org/0000-0003-0998-4352)
- Mubarak Momodu
- Sudarshan Srirangapatanam (ORCID: https://orcid.org/0000-0002-9179-3573)
- Pablo A. Suarez (ORCID: https://orcid.org/0000-0002-1419-7970)
- David Bayne (ORCID: https://orcid.org/0000-0003-1966-0378)
- Lynn Leng (ORCID: https://orcid.org/0000-0003-0985-0899)
Institutions
- University of California, San Francisco (US)
- Universidad San Pablo (MX)
Publication Details
- Journal
- World Journal of Urology
- Published
- 2025-12-17
- DOI
- https://doi.org/10.1007/s00345-025-06155-6
- Primary Topic
- Cardiac, Anesthesia and Surgical Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00