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.
Patient preferences are an essential component of the patient voice, and their subsequent use in patient-centered clinical decision support can advance patient-centered care.
This chartbook provides an overview of key takeaways from the Trust and Patient-Centeredness Workgroup: Methods for Involving End Users in the PC CDS Co Design report.
This report offers insights and recommendations for implementing and scaling patient-centered clinical decision support.
This report offers various methods for capturing different types of patient preference data and visualizes these within patient lifeflows and clinical workflows.
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 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.
This report assesses use of artificial intelligence to scale patient-centered clinical decision support.
This report provides descriptions of patient and caregiver perspectives on the use of generative artificial intelligence in patient-centered clinical decision support.
The Clinical Decision Support Innovation Collaborative (CDSiC) is a community of diverse stakeholders working toward healthcare decisions driven by both patient-centered and patient-specific information that align with patient needs, preferences, and values.
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