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This research will implement a personalized and electronically integrated shared clinical decision support system for left ventricular assist devices in patients with advanced heart failure.
This research will validate a shared decision making tool integrated with patient-reported outcomes and clinical data from electronic health records for enabling decision support in patients with knee osteoarthritis considering total knee replacement.
This research aims to enhance and implement a clinical decision support tool that will support providers and underinsured patients in making personalized decisions regarding diet goal setting.
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.