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This research will develop and disseminate sharable, interoperable drug-drug interaction decision-making tools that enable patient-centered shared decision making.
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 project will enhance novel algorithms for matching patient health information across data sources, implement them, and evaluate their accuracy.
This project will develop a method to use video captured electronic health record interactions to analyze the context around medication errors, identify design elements that contributed to the errors, and make design recommendations to mitigate those errors.
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 (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.
This project conducted a large scale systematic review to synthesize existing evidence on health information exchange use and effectiveness.
This project supports the Stanford Medicine X conference at the School of Medicine in September of 2012, 2013, and 2014 in Stanford, CA.