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The technical landscape for patient-centered CDS: progress, gaps, and challenges.

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Developing patient-centered clinical decision support (CDS) tools requires better standards for sharing findings. Advancing standards for translating guidelines and integrating patient data is crucial for improving care.

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Area of Science:

  • Health Informatics
  • Clinical Decision Support Systems
  • Patient-Centered Outcomes Research

Background:

  • Effective healthcare decision-making relies on patient-centered, evidence-based approaches.
  • Disseminating patient-centered outcomes research (PCOR) findings through clinical decision support (CDS) is essential.
  • Patient-centered CDS (PC CDS) tools require technical advancements for broader adoption and impact.

Purpose of the Study:

  • To explore the technical landscape of patient-centered CDS (PC CDS).
  • To identify gaps in making PC CDS shareable, standards-based, and publicly available.
  • To inform strategies for improving patient care and clinical outcomes through enhanced PC CDS.

Main Methods:

  • Technical landscape assessment.
  • Convened a technical expert panel.
  • Conducted a comprehensive literature review.
  • Interviewed 18 key stakeholders in CDS development and implementation.

Main Results:

  • Identified 7 critical technical considerations across 5 phases of PC CDS development.
  • Progress exists, but significant gaps remain in the technical infrastructure for PC CDS.
  • Key areas for advancement include guideline translation, workflow integration, and patient-generated data handling.

Conclusions:

  • Advancing standards for translating clinical guidelines into PC CDS is a priority.
  • Standardizing CDS integration points within clinical workflows is necessary for seamless adoption.
  • Developing robust processes for capturing, standardizing, and integrating patient-generated health data is crucial for truly patient-centered care.