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New Performance Measurement Framework for Realizing Patient-Centered Clinical Decision Support: Qualitative

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Summary
This summary is machine-generated.

This study introduces a new framework for measuring patient-centered clinical decision support (PC CDS) performance. The framework guides evaluation of PC CDS technologies, ensuring patient needs are central to care delivery.

Keywords:
AIartificial intelligenceclinical decision supporthealth caremeasurementpatient-centered

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Area of Science:

  • Health Informatics
  • Clinical Decision Support Systems
  • Patient-Centered Care

Background:

  • Patient-centered clinical decision support (PC CDS) technologies are evolving with a focus on value-based, whole-person care.
  • Existing evaluation frameworks lack comprehensive guidance for measuring PC CDS performance and effectiveness.
  • There is a critical need for improved measurement strategies to assess PC CDS interventions.

Purpose of the Study:

  • To present a novel framework integrating patient-centered principles into health IT and CDS evaluation.
  • To provide a unified guide for assessing the performance of PC CDS.

Main Methods:

  • A targeted literature review of 147 sources on health IT, CDS, and PC CDS measurement was conducted.
  • The framework was developed considering sociotechnical components, the full IT life cycle, and multi-level measurement.
  • Validation and refinement involved key informant interviews with 6 experts and feedback from a 7-member expert committee.

Main Results:

  • A 6-domain PC CDS performance measurement framework was developed: safe, timely, effective, efficient, equitable, and patient-centered.
  • The framework includes 34 subdomains and 4 aggregation levels (individual, population, organization, IT system) for comprehensive assessment.
  • Examples of measures and approaches for patient-centeredness are provided, with 2 illustrative use cases.

Conclusions:

  • The framework offers a comprehensive tool for evaluating PC CDS technology across its life cycle, focusing on patient impact.
  • It enables understanding of PC CDS effectiveness, utilization, and achievement of evidence-based, patient-centered care outcomes.
  • Further research is needed to fully characterize all domains and subdomains for advancing PC CDS evaluation.