Reimagining kidney value-based care: leveraging data science for dynamic, clinician-level risk prediction
CKD is a clinically and economically compelling testbed for next-generation VBP design. Patient-level modeling with sub-annual risk prediction is the next step in modernizing payment frameworks to align incentives. Future VBP policy should shift models beyond static, annual metrics toward EHR-native, temporally precise evaluation frameworks that reward meaningful preventive care for patients, clinicians, and payers.
Authors
- Paul Nagy (ORCID: https://orcid.org/0000-0001-5108-7749)
- Derek J Baughman (ORCID: https://orcid.org/0000-0001-5549-6697)
- Chirag R. Parikh
Institutions
- Johns Hopkins University (US)
- Johns Hopkins Medicine (US)
Publication Details
- Journal
- Current Opinion in Nephrology & Hypertension
- Published
- 2026-01-29
- DOI
- https://doi.org/10.1097/mnh.0000000000001162
- Primary Topic
- Chronic Kidney Disease and Diabetes
- Type
- article
- Field-Weighted Citation Impact
- 0.00