Five essential features for adoption of clinical risk prediction tools: Insights from the VOCAL-Penn score
Using the VPS as a grounding example, our findings identify 5 domains-efficiency, accessibility, transparency, accuracy, and generalizability-that inform the development and dissemination of future tools. By aligning tool design with real-world clinical needs, this framework may support broader adoption and more equitable implementation of medical risk prediction tools.
Authors
- Kinza Khan (ORCID: https://orcid.org/0000-0002-2646-8811)
- Nadim Mahmud (ORCID: https://orcid.org/0000-0003-1889-3954)
- Mackenzie Bolas
Institutions
- Philadelphia VA Medical Center (US)
- University of Pennsylvania (US)
Publication Details
- Journal
- Hepatology Communications
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1097/hc9.0000000000000848
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00