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CDSiC & Developers

Patient-centered clinical decision support (PC CDS) provides an opportunity to demonstrate the power of health information technology to bring patients and clinicians together to make shared healthcare decisions. The Clinical Decision Support Innovation Collaborative (CDSiC) promotes the development of effective, evidence-based, and patient-centered clinical decision support (CDS) tools.

People sitting at computers in a roomThe implementation of the electronic health record (EHR) has revolutionized healthcare by making health data more accessible. However, it has untapped potential. Health systems and patients alike are eager for solutions that enhance patient-centered and value-based care by utilizing that EHR data. Health IT developers are helping achieve this vision by engaging patients through the co-design of CDS tools and by building apps and tools that patients can trust. The CDSiC is guided by the expertise of health IT developers doing this work in the real world, and serves to connect these health IT innovators with clinicians, patients, and research communities so that PC CDS resources truly support the delivery of patient-centered care.

In this rapidly changing area, the CDSiC aims to serve as a central source for guidance and resources for developing, implementing, maintaining, and continuously improving PC CDS. Developers can find tools and resources here that reflect the evolving health IT standards and regulatory environment.

Related Resources

Trust and Patient-Centeredness Workgroup: An Introductory Handbook for Patient Engagement Throughout the Patient-Centered Clinical Decision Support Lifecycle
This handbook provides guidance and resources for patient engagement in patient-centered clinical decision support.  

Standards and Regulatory Frameworks Workgroup: Improving Interoperability of Patient Apps with the Health IT Ecosystem
This report identifies opportunities for improving patient app interoperability to advance patient-centered clinical decision support. 

Standards and Regulatory Frameworks Workgroup: Advancing Standardized Representations for Patient Preferences to Support Patient-Centered Clinical Decision Support
This report describes standards for patient-preferences data.

Scaling, Measurement, and Dissemination of CDS Workgroup: PC CDS Planning, Implementation, and Reporting User Guide
This user guide provides details on capturing patient-centered clinical decision support implementation features.

Scaling, Measurement, and Dissemination of CDS Workgroup: Approaches to Measuring Patient-Centered CDS Workflow and Lifeflow Impact
This report examines how patient-centered clinical decision support interventions impact care team workflows and patient lifeflows.

Trust and Patient-Centeredness Workgroup: Improving the Source Credibility of Patient-Centered Clinical Decision Support Tools
This report provides a framework for understanding the role of source credibility in patient-centered clinical decision support tools.

Standards and Regulatory Frameworks Workgroup: Environmental Scan
This environmental scan reveals opportunities to evolve standards and regulatory frameworks to advance patient-centered clinical decision support.

Outcomes and Objectives Workgroup: Taxonomy of Patient Preferences
This Taxonomy identifies and characterizes patient preferences relevant to patient-centered clinical decision support.

Trust and Patient-Centeredness Workgroup: Methods for Involving End-Users in PC CDS Co-Design
This resource paves the way for end users' involvement in co-design of patient-centered clinical decision support. 

Scaling, Measurement, and Dissemination of CDS Workgroup: PC CDS Performance Measurement Inventory User Guide
This user guide identifies available measures to assess patient-centered clinical decision support (PC CDS). 

Visualization of Patient-Generated Health Data: A Scoping Review of Dashboard Designs
This article published in Applied Clinical Informatics (ACI) shares findings from a scoping review of studies of patient-generated health data (PGHD) dashboards that involved clinician users in design or evaluations.