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Evolution of an Implementation-Ready Interprofessional Pain Assessment Reference Model.

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Summary
This summary is machine-generated.

Developing a standardized Pain Assessment Reference Model enhances EHR data consistency for improved patient safety and opioid epidemic management. This validated model offers a minimal data set for effective pain assessment and intervention strategies.

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Area of Science:

  • Health Informatics
  • Clinical Data Standards
  • Pain Management

Background:

  • Consistent pain assessment is crucial for patient safety, quality care, and analytics.
  • Meeting regulatory requirements (e.g., Joint Commission) necessitates standardized pain assessment.
  • Addressing the opioid epidemic requires effective pain management strategies informed by reliable data.

Purpose of the Study:

  • To develop and validate a comprehensive Pain Assessment Reference Model.
  • To create a model suitable for implementation in Electronic Health Record (EHR) forms and flowsheets.
  • To enhance the secondary use of pain assessment data for analytics and research.

Main Methods:

  • Iterative development process with 5 successive revisions.
  • Validation through expert panels involving 48 subject matter experts (SMEs).
  • Implementation testing within EHR forms and flowsheets to refine specifications.

Main Results:

  • The reference model evolved to include 47 data elements, more than doubling the initial count.
  • The model was organized into 9 sets of data elements, with a recommended minimal data set identified.
  • Implementation revealed the importance of specifications like cascading logic for data usability.

Conclusions:

  • The validated Pain Assessment Reference Model provides a standardized framework for comprehensive pain assessment.
  • The model is ready for EHR implementation, improving data consistency and supporting clinical decision-making.
  • The developed model facilitates secondary data use for quality improvement and research in pain management.