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Related Experiment Videos

Clinical Decision Support-based Quality Measurement (CDS-QM) Framework: Prototype Implementation, Evaluation, and

Polina V Kukhareva1, Kensaku Kawamoto1, David E Shields1

  • 1Department of Biomedical Informatics, University of Utah, Salt Lake City, UT.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|May 9, 2015
PubMed
Summary

This study demonstrates that a standards-based clinical decision support (CDS) framework can automate electronic quality measurement (QM) with high accuracy. This approach reduces duplicated effort in healthcare systems.

Related Experiment Videos

Area of Science:

  • Health Informatics
  • Clinical Quality Improvement
  • Electronic Health Records

Background:

  • Electronic quality measurement (QM) and clinical decision support (CDS) systems are often implemented separately, leading to redundant work.
  • Reusing technical approaches for both QM and CDS, particularly standards-based methods, is not well-documented.

Purpose of the Study:

  • To assess the feasibility of employing a standards-based CDS framework for electronic QM.
  • To align the framework with expected Electronic Health Record (EHR) certification criteria.
  • To automate a complex national quality measure (SCIP-VTE-2).

Main Methods:

  • A clinical decision support-quality measurement (CDS-QM) framework was utilized.
  • The framework was applied to automate the SCIP-VTE-2 quality measure at an academic healthcare system.
  • Automated measurements were compared against 305 manually-reviewed cases.

Main Results:

  • The automated measurement achieved 100% recall.
  • Precision for denominator ascertainment was 96.3% (CI:92.6%-98.5%).
  • Precision for numerator ascertainment was 96.2% (CI:92.3%-98.4%).

Conclusions:

  • A standards-based CDS-QM framework effectively enables automated electronic QM.
  • This integrated approach offers benefits for efficiency and accuracy in quality measurement.
  • Potential challenges associated with this combined framework were identified.