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Reducing Interruptive Alert Burden Using Quality Improvement Methodology.

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Summary
This summary is machine-generated.

Quality improvement methods reduced interruptive alerts from electronic health records (EHR) by 39%. Focusing on the top 25 alerts significantly decreased alert burden for providers.

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Area of Science:

  • Health Informatics
  • Clinical Decision Support Systems
  • Quality Improvement in Healthcare

Background:

  • Electronic health records (EHR) with integrated clinical decision support (CDS) systems reduce errors but cause alert fatigue.
  • Interruptive, pop-up alerts require provider action, potentially disrupting workflow.
  • A persistent increase in interruptive alerts and requests for new ones was observed.

Purpose of the Study:

  • To reduce the total volume of interruptive alerts delivered to healthcare providers.
  • To implement quality improvement (QI) initiatives to manage alert burden.

Main Methods:

  • Utilized Institute for Healthcare Improvement (IHI) QI methodology.
  • Developed an interactive dashboard for alert data monitoring and prioritization.
  • Focused interventions on key drivers: alert display, content, governance, user feedback, and user knowledge.

Main Results:

  • A total of 25 unique alerts constituted 90% of the interruptive alert volume.
  • Reduced interruptive alerts from a baseline of 7,250 to 4,400 per week.
  • Achieved a 39% reduction in weekly interruptive alerts, exceeding the 35% target.

Conclusions:

  • Systematic improvements to interruptive alerts can significantly reduce provider burden.
  • Prioritizing interventions using QI methods maximized impact.
  • Further research is needed on patient outcomes, cognitive load, and alert utility.