A standard-based taxonomy of features that affect user response to clinical decision support alerts.

ABSTRACT:

Objective

The objective of this work is to develop a standard-based taxonomy of features that might affect user response to alerts using evidence from literature and public alert logic repositories.

Methods

We developed a taxonomy of features using multiple sources: (1) the Agency for Healthcare Research and Quality (AHRQ) CDS Connect Repository, (2) alert logic from commercial electronic health record (EHR) customers, and (3) published literature. Three categories (patient, provider, environment/context) were used a priori to develop the taxonomy. The final taxonomy was mapped to the Fast Healthcare Interoperability Resources (FHIR) standard for development of standardized CDS services.

Results

Aggregating potential features extracted from three data sources, we iden

SUBMITTER: Liu S 

PROVIDER: S-EPMC12542428 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature