This research will maintain and continue the work of the CDS Connect platform, including its repository, its public work group, and open-source tools.
Across the Health Care System
The goal of the CEPI Evidence Discovery and Retrieval (CEDAR) project is to make patient-centered outcomes research findings within AHRQ repositories more FAIR - findable, accessible, interoperable, and reusable - through technologies used by clinicians, researchers, implementers, patients, and others.
This research will adapt a shared decisionmaking tool for lung cancer screening and create a shareable clinical decision support tool that can be integrated into any electronic health record system.
This research developed DDInteract, a patient-facing shared decision making (SDM) tool that uses interactive decision dashboards to graphically communicate risks and decision options, supporting SDM for patients and providers regarding drug-drug interactions.
This project aims to refine and develop methods to address missing electronic health record data to improve data quality and research validity.
This project will enhance novel algorithms for matching patient health information across data sources, implement them, and evaluate their accuracy.
Context is Critical: Understanding When and Why Electronic Health Record-Related Safety Hazards Happen
This study showed the feasibility and value of creating a methodology and process for a health information technology black box to inform electronic health record design and usability.
Patient-Centered Outcomes Research Clinical Decision Support Prototype Development and Dissemination
This project developed and enhanced CDS Connect, an online platform that aimed to demonstrate a systematic and replicable process for transforming evidence-based research findings, including findings from patient-centered outcomes research, into publicly available, shareable clinical decision support.
The Electronic Data Methods Forum is charged with advancing the national dialogue on the infrastructure and methods of health research and quality improvement using electronic clinical data, with the goal of improving patient care and outcomes.