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 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 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 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 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.

The Clinical Decision Support Innovation Collaborative (CDSiC) created this infographic to explain the definition of patient-centered clinical decision support (PC CDS).

This report examines how patient-centered CDS interventions impact care team workflows and patient lifeflows.Developed by the AHRQ CDSiC Scaling, Measurement, and Dissemination of CDS Workgroup, this report summarizes workflow and lifeflow impacts captured in the literature and provides a framework to help identify the optimal point for a patient-centered CDS tool’s deployment in a patient's lifeflow.

This executive summary synthesizes the findings discussed in the report, "Scaling, Measurement, and Dissemination of CDS Workgroup: Approaches to Measuring Patient-Centered CDS Workflow and Lifeflow Impact."

This article published in Applied Clinical Informatics (ACI) describes the process of using interoperability standards to integrate a COVID-19 Tracker mobile application within an EHR. The authors used notes from project meetings and semi-structured discussions among the application development team to track the design and implementation process and highlight challenges encountered. Click here to read the article.

This CDSiC Leadership Viewpoint provides an overview of the four overarching PC CDS themes the CDSiC is addressing in its third year and highlights the upcoming products and projects the CDSiC is undertaking that will contribute to each theme.