Patient-Centered Outcomes Research Clinical Decision Support (CDS) Connect Maintenance and Update
This research will maintain and continue the work of the CDS Connect platform, including its repository, its public work group, and open-source tools.
This research will maintain and continue the work of the CDS Connect platform, including its repository, its public work group, and open-source tools.
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 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 proposes a novel proactive system to reduce alert burden and thereby increase attention to situations in which patient safety is at risk.
This project will enhance novel algorithms for matching patient health information across data sources, implement them, and evaluate their accuracy.
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.
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.
The Electronic Data Methods (EDM) Forum facilitated learning and collaboration among researchers and other key stakeholders who are generating the data, methods, and knowledge needed to build learning health systems that will improve patient care and outcomes.