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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 develop and disseminate sharable, interoperable drug-drug interaction decision-making tools that enable patient-centered shared decision making.
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 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 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 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 will enhance novel algorithms for matching patient health information across data sources, implement them, and evaluate their accuracy.
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.
This research studied errors in medical documents created with speech recognition software and developed natural language processing methods to detect such errors.