Jonathan Beus

Pediatric Predictive Artificial Intelligence Implemented in Clinical Practice from 2010-2021: A Systematic Review

While there are many published pediatric AI models, the number of AI implementations is minimal with no standardized reporting of outcomes, care processes, or human performance measures. More comprehensive evaluations will help elucidate mechanisms of impact.

July 21, 2025

Clinical Decision Support Stewardship – Best Practices and Techniques to Monitor and Improve Interruptive Alerts

Further refinement of alert burden metrics is needed as current metrics do not adequately represent the impact on end
users when viewed through different dimensions. The best practices we describe here will allow institutions to establish monitoring and optimization programs to reduce alert burden.

March 26, 2022

Alert burden in pediatric hospitals: a cross-sectional analysis of six academic pediatric health systems using novel metrics

Estimates of the clinical areas with highest alert burden varied substantially by institution and based on the metric used.

November 1, 2021