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This project will test the effectiveness of using patient-reported outcomes for cirrhosis collected with Patient Buddy and EncephalApp on hospital readmissions.
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 project assessed the clinical and operational implications of electronic health record downtimes and developed a simulation model to support the creation of effective downtime contingency plans.
This project engaged individuals with physical, sensory, and cognitive disabilities to expand upon existing consumer mobile health application design guidance for social networks.
This project tested a mobile health application’s impact on reducing readmissions among patients with cirrhosis within 30 days of hospital discharge, and found it to be usable and feasible.
This study showed that there is a range of how people communicate with their social network, how this information is communicated, the types of health information communicated, and the rationales for the communication.
This project provided input to inform the development of nine proposed Stage 3 MU objectives focused on patient engagement, interoperability, and care coordination.
This report was created to address the nationally significant challenge of developing comprehensive clinical datasets, collected in real world environments and accessible in real time, to support clinical research and to address public health concerns.
This project created recommendations for the development of a health information technology enabled tool to support transitions of care for those with sickle cell disease.
This project was a joint grant solicitation between the National Science Foundation and the Agency for Healthcare Research and Quality to fund research projects that address systems modeling in health services research, with a specific emphasis on the supportive role of health information technology.