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 action plan describes critical needs for ensuring the incorporation of social determinants of health factors across the patient-centered clinical decision support lifecycle.Developed by the AHRQ Clinical Decision Support Innovation Collaborative’s Trust and Patient-Centeredness Workgroup, this action plan identifies five needs and 11 opportunities to support the collection and use of social determinants of health (SDOH) data for patient-centered clinical decision support (PC CDS).

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 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 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.

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 taxonomy provides a shared set of override domains that can be used by developers and researchers when analyzing why users do not accept patient-centered clinical decision support guidance.

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.

This report provides descriptions of patient and caregiver perspectives on the use of generative artificial intelligence in patient-centered clinical decision support.

This quarterly report provides a summary of the status of all projects and activities being conducted within the CDSiC Innovation Center from April 2024 through June 2024. Over this period, the Innovation Center has focused on developing four projects for the third year of the CDSiC.