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This project identified patients’ needs, preferences, and responses when receiving abnormal test result notifications through an electronic patient portal, and developed a usable prototype to improving test result communication.
This project applied a human factors-based framework to understand factors associated with missed test results and found that health information technology is a key barrier to test followup.
This project developed dashboards to support clinical decision making in the emergency department and found that the new technology was readily accepted.
This project evaluated the impact of an electronic health record on the quality of diabetes care as measured by compliance with recommended processes of care and patient outcome measures.
The study identified “hidden” costs – resources and staff time – that provider practices and health care organizations must consider when planning for EHR implementation.
This grant supported the Primary Care Research and Methods and Statistics Conferences, which are held to build the research capacity of both novice and experienced researchers.
This project used health information technology to identify patients for whom a diagnosis of prostate, lung, or colon cancer had been delayed.
The findings of this study demonstrated that electronic health record-based trigger methods can enable more meaningful measurement and surveillance of diagnostic errors in primary care.
This project explored the impact of an electronic health record on measurement-based care of individuals with major depressive disorder.
Examines the effect of tele-ICU monitoring on mortality, complications, length of stay, cost-effectiveness, provider attitudes, and human factors issues in ICUs and 7 community hospitals.