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Refining Risk Prediction Models for Older Adults Using Electronic Health Records
Sponsor: University of California, Los Angeles
Summary
This study aims to improve how lab results are communicated to older adults by refining a predictive model that uses electronic health record (EHR) data. The model was originally developed to estimate the risk of chronic kidney disease (CKD) progression. Researchers will use existing health data to test and improve the accuracy of the model and explore how it might be adapted for use in other health conditions. The study does not involve direct interaction with patients and is conducted entirely using de-identified data in a secure environment.
Official title: Patient-centered Precision Medicine Lab Result Communication for Older Adults - Validation and Refinement of an Existing Chronic Kidney Disease (CKD) Risk Model
Key Details
Gender
All
Age Range
65 Years - Any
Study Type
OBSERVATIONAL
Enrollment
18000
Start Date
2025-08
Completion Date
2026-03
Last Updated
2025-05-29
Healthy Volunteers
No
Conditions
Interventions
Risk Prediction Model
This study analyzes retrospective electronic health record (EHR) data from older adults to refine and validate a predictive model for other conditions in future studies.
Locations (1)
UCLA Health System
Los Angeles, California, United States