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.

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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
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article

Reimagining kidney value-based care: leveraging data science for dynamic, clinician-level risk prediction

Paul Nagy, Derek J Baughman, Chirag R. Parikh
Current Opinion in Nephrology & Hypertension
Chronic Kidney Disease and Diabetes
article

Reimagining kidney value-based care: leveraging data science for dynamic, clinician-level risk prediction

Paul Nagy, Derek J Baughman, Chirag R. Parikh
article en

Abstract

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.

Current Opinion in Nephrology & HypertensionVol. 35(3)
Johns Hopkins University (US), Johns Hopkins Medicine (US)
Partnerships for the goals
Openalex Percentile: Top 72%
Chronic Kidney Disease and Diabetes
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