The Trust and Patient-Centeredness Workgroup Option Year 2 Charter is a document that describes the roles and key activities of the Workgroup under the CDSiC Stakeholder Community and Outreach Center.

This article published in JAMIA Open summarizes key themes that arose from stakeholder discussions at the inaugural Clinical Decision Support Innovation Collaborative (CDSiC) 2023 Annual Meeting. The authors analyzed compiled meeting notes to synthesize key themes and concluded that innovative approaches are needed to ensure patients’ and caregivers’ voices are meaningfully included to advance PC CDS. Click here to read the article. 

This report assesses the future use of a patient-facing large language model-powered PC CDS prototype that seeks to streamline patient-provider communication.  

This user guide provides information about how to complete the Patient-Centered Clinical Decision Support Planning and Reporting Tool.Developed by the AHRQ Clinical Decision Support Innovation Collaborative’s Measurement and Outcomes Workgroup, this user guide supports patient-centered clinical decision support (PC CDS) researchers in consistently and comprehensively describing how PC CDS was designed, developed, deployed, used, maintained, and evaluated.

This tool supports research teams and others in describing how they addressed four key patient-centered clinical decision support lifecycle phases and associated patient-centered factors when implementing a patient-centered clinical decision support tool.

This chartbook provides an overview of key takeaways from the Trust and Patient-Centeredness Workgroup: Methods for Involving End-Users in PC CDS Co-Design report.This chartbook is designated to help developers of clinical decision support identify and use methods of co design to advance patient-centered clinical decision support (PC CDS).

This report offers insights and recommendations for implementing and scaling patient-centered clinical decision support.Developed by the AHRQ Clinical Decision Support Innovation Collaborative’s Implementation, Adoption, and Scaling Workgroup, this report offers insights from nine AHRQ-funded patient-centered clinical decision support (PC CDS) projects and provides practical guidance across four domains: patient engagement, implementation, adoption, and scaling.

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.

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.

This report assesses use of artificial intelligence to scale patient-centered clinical decision support.Developed by the AHRQ Clinical Decision Support Innovation Collaborative’s Implementation, Adoption, and Scaling Workgroup, this report provides an overview of current approaches for using artificial intelligence (AI) to scale patient-centered clinical decision support (PC CDS), outlines existing challenges, and highlights promising practices to ensure patient safety and privacy.