# External Validation of an EHR-Based Model for Risk of Patient No-Show in Primary Care

**Authors:** Afiba Manza-A. Agovi, Mirsada Serdarevic, Aaron W. Gehr, Caitlin T. Thompson, Wentao Li, Jeff Claassen, Matthew Cvitanovich, Rohit P. Ojha

PMC · DOI: 10.1001/jamanetworkopen.2025.21637 · JAMA Network Open · 2025-07-17

## TL;DR

This study tests how well an EHR-based model predicts when patients will miss primary care appointments, including differences by race and ethnicity.

## Contribution

The paper provides an external validation of an EHR-based model for predicting patient no-shows, including performance by race and ethnicity.

## Key findings

- The model showed good overall performance in predicting nonattendance.
- Performance varied by race and ethnicity, highlighting potential disparities.
- The results suggest the model can be useful in real-world clinical settings.

## Abstract

This prognostic study evaluates the performance of an electronic health record (EHR)–based model for predicting nonattendance at primary care appointments overall and by race and ethnicity.

## Full-text entities

- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

1 figure with captions in the complete paper: https://tomesphere.com/paper/PMC12272289/full.md

## References

6 references — full list in the complete paper: https://tomesphere.com/paper/PMC12272289/full.md

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Source: https://tomesphere.com/paper/PMC12272289