Application of electronic trigger tools to identify targets for improving diagnostic safety

Area of Science:

• Health Informatics
• Patient Safety
• Clinical Informatics

Background:

• Diagnostic errors are a significant patient safety concern, with slow progress in reduction due to poor identification methods.
• Electronic trigger (e-trigger) tools offer a promising approach to efficiently detect diagnostic errors by analyzing patient data.

Purpose of the Study:

• To introduce the Safer Dx Trigger Tools Framework for developing and implementing e-trigger tools to identify and measure diagnostic errors.
• To leverage comprehensive electronic health record (EHR) data for enhanced diagnostic safety.

Main Methods:

• Development of the Safer Dx Trigger Tools Framework utilizing knowledge discovery.
• Application of algorithms to mine longitudinal EHR data for diagnostic events and risks.
• Collaboration between clinical informaticists, IT, patient safety professionals, and clinicians.

Main Results:

• Safer Dx e-trigger tools enable health systems to detect potential diagnostic events and monitor error rates.
• These tools facilitate the study of contributory factors and identification of targets for safety improvements.
• Prospective monitoring can identify high-risk patients for proactive preventive actions.

Conclusions:

• The Safer Dx framework provides a method for health systems to actively identify and measure diagnostic errors.
• Integrating diagnostic safety e-triggers into patient safety strategies can accelerate harm reduction.
• Future research in natural language processing and machine learning will enhance e-trigger effectiveness.