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Resources

The Clinical Decision Support Innovation Collaborative (CDSiC) aims to produce resources to advance the development of patient-centered clinical decision support (PC CDS) tools that can help patients make informed decisions with their care teams that align with their specific needs, preferences, and values.

The CDSiC provides information and resources for patients, researchers, developers, and clinicians. Examples of resources found here include PC CDS vignettes, infographics, peer-reviewed articles, literature scans, frameworks, and other tools.

Displaying 1 - 10 of 11

Trust and Patient-Centeredness Workgroup: Capturing Patient Preferences for Patient-Centered Clinical Decision Support Within Patient Lifeflows and Clinical Workflows

Publication Date:
August 1, 2024
This report offers various methods for capturing different types of patient preference data and visualizes these within patient lifeflows and clinical workflows.Developed by the AHRQ Clinical Decision Support Innovation Collaborative’s Trust and Patient-Centeredness Workgroup, this report identifies key considerations for optimizing the collection and use of patient preferences for patient-centered clinical decision support (PC CDS) to reduce patient and clinician burden, as well as opportunities to incorporate patient preferences into PC CDS.

Standards and Regulatory Frameworks Workgroup: Prioritizing Patient Preferences for Standardization to Support PC CDS

Publication Date:
August 1, 2024
This report explores the standardization of patient preference information for inclusion in patient-centered clinical decision support.Developed by the AHRQ Clinical Decision Support Innovation Collaborative’s Standards and Regulatory Frameworks Workgroup, this report identifies key themes related to the routine collection of patient preferences, patient information that should be prioritized for standardization, and challenges with standardizing patient preference information.

Measurement and Outcomes Workgroup: Patient Prioritization of Measurement Areas for Patient-Centered Clinical Decision Support

Publication Date:
July 24, 2024
This report aims to identify what measurement areas within the patient health journey are important to patients when determining if patient-centered clinical decision support (PC CDS) is achieving its intended purpose.Developed by the AHRQ Clinical Decision Support Innovation Collaborative’s Measurement and Outcomes Workgroup, this report highlights what patient health journey measurement areas should be prioritized.

Measurement and Outcomes Workgroup: Patient Preference Measurement Tools for PC CDS Inventory Spreadsheet

Publication Date:
June 20, 2024
This inventory spreadsheet identifies available patient preference measurement tools from the literature to support the incorporation of patient preferences into PC CDS tools.Developed by the AHRQ CDSiC Measurement and Outcomes Workgroup, this spreadsheet can be used by PC CDS developers, implementers, and evaluators with the accompanying report, the Measurement and Outcomes Workgroup: Inventory of Patient Preference Measurement Tools for PC CDS Report.

Trust and Patient-Centeredness Workgroup: An Introductory Handbook for Patient Engagement Throughout the Patient-Centered Clinical Decision Support Lifecycle

Publication Date:
September 1, 2023
This handbook provides guidance and resources for patient engagement in patient-centered clinical decision support.Developed by the AHRQ CDSiC Trust and Patient-Centeredness Workgroup, this handbook provides guidance on the best methods to engage patients in the development of patient-centered clinical decision support tools.

Standards and Regulatory Frameworks Workgroup: Advancing Standardized Representations for Patient Preferences to Support Patient-Centered Clinical Decision Support

Publication Date:
August 1, 2023
This report describes standards for patient-preferences data.Developed by the AHRQ CDSiC Standards and Regulatory Frameworks Workgroup, this report examines data standards currently available for collecting and using patient-preference data to guide patient-centered clinical decision support (PC CDS) and includes recommendations to further the integration of patient-preference data into PC CDS tools.