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Extracting Actionable Recommendations for Modifying Enterprise Order Set Templates from CPOE Utilization Patterns.

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Intermountain Healthcare developed analytics to improve electronic health record (EHR) order sets. The system identified 362 potential changes, with 186 deemed acceptable by clinical experts, enhancing best practices.

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Area of Science:

  • Health Informatics
  • Clinical Decision Support
  • Electronic Health Records (EHR)

Background:

  • Implementing a new EHR system requires optimizing order sets for best practices.
  • Centralized libraries of order sets are crucial for enterprise-wide standardization.
  • Aggregate user data analytics can identify opportunities for order set improvement.

Purpose of the Study:

  • To evaluate the acceptability of an analytics system designed to identify changes in EHR order set templates.
  • To establish meaningful thresholds for the adoption of system-generated recommendations.
  • To refine order set content based on user data and clinical expert review.

Main Methods:

  • An analytics tool was developed to capture aggregate user data for EHR order set templates.
  • Recommendations for additions, removals, and changes in order selection were extracted for thirteen order sets.
  • Local clinical experts reviewed and classified the system's proposed changes as acceptable or not acceptable.

Main Results:

  • The analytics system identified a total of 362 potential changes to order set templates.
  • Out of 362 potential changes, 186 were classified as acceptable by clinical experts.
  • A significant portion of identified changes were deemed valid, indicating system utility.

Conclusions:

  • The analytics system provides valuable insights for EHR order set content owners.
  • Clinical expert review is essential for validating system-generated recommendations.
  • Further system enhancements are expected to increase the efficacy of identifying actionable improvements in order sets.