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.

Inclusion Criteria include, but are not limited to:

• being over the age of 65; having at least 5 years of clinical follow up; and having a serum creatinine lab test conducted

Exclusion Criteria:

• Patients younger than 65 years old
• Patients with less than 5 years of clinical follow-up
• Patients from health systems outside of the UC Health network.

Adults aged 65 and older who received care within the UCLA or UC Health system, have at least 5 years of clinical follow-up, and have had a serum creatinine test. Data are drawn from existing electronic health records.