A Framework for Usable and Effective Clinical Decision Support: Experience from the iCPR Randomized Clinical Trial

Area of Science:

• Health Information Technology
• Clinical Informatics
• Medical Decision Making

Background:

• Clinical Decision Support (CDS) systems aim to improve patient care with timely, specific recommendations.
• However, many existing CDS tools are not user-friendly, integrated into workflows, or provide relevant information.
• This often leads to provider burden and suboptimal patient outcomes.

Purpose of the Study:

• To evaluate a novel framework for developing and implementing actionable Clinical Decision Support (CDS) tools.
• To determine if integrating clinical prediction rules (CPRs) into electronic health records (EHRs) improves workflow integration and patient outcomes.
• To illustrate a framework for constructing usable, useful, and effective actionable CDS.

Main Methods:

• A randomized clinical trial (RCT) tested the integrated clinical prediction rule (iCPR) project, embedding CPRs into a commercial EHR.
• The framework incorporated active decision support, iterative usability testing, context-sensitive triggers, dedicated user training, and leadership support.
• Usability testing and iterative development were crucial for user acceptance and identifying necessary improvements.

Main Results:

• The iCPR tool achieved significant adoption (57.4%) and acceptance (42.7%) among users.
• Usability testing identified and resolved issues prior to the RCT, enhancing the tool's effectiveness.
• Dedicated training and strong leadership support were key factors in user comfort and likelihood of future use.

Conclusions:

• The developed framework demonstrates a successful approach to creating actionable CDS that is adopted and accepted by users.
• Context-sensitive triggers, identified during usability testing, emerged as a critical component for effective CDS integration.
• This framework has broader implications for the successful deployment of Health Information Technology (HIT) in clinical settings.