Our study provides the first multi-center analysis of EHR alert design elements in pediatric care settings, revealing substantial variation in content and design. These findings underline the need for future research to experimentally explore EHR alert design best practices to improve efficiency and effectiveness.
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.
This panel highlights some of the Pediatric CDS Collaborative’s most ignominious CDS roaches – hard to kill tools that far outlived their utility – to share hard earned lessons and successes organized as roach facts
In this panel, we describe some of our most inglorious misfires as case vignettes in clinical decision support (CDS) implementation to share hard-earned lessons organized into 8 sociotechnical dimensions.
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.