This research will explore whether providing clinicians with contextual information at the point of care through the use of clinical decision support can reduce contextual errors, improve patient healthcare outcomes, and reduce misuse and overuse of medical services.
This project will implement and evaluate a previously developed, interactive, patient-centered discharge toolkit to improve the transition of care from the inpatient to outpatient settings.
This research linked a web viewer for 3D models of patient homes to an electronic health record so that the models could be viewable and annotated from within a patient’s record for better discharge planning.
This project will develop decision support tools that integrate with electronic health records to increase the quality and effectiveness of chronic pain care.
This project determined care priorities for patients with multiple chronic conditions based on patient needs, preferences, and capabilities and developed a set of recommendations for patients and providers.
In an effort to reduce medical errors and adverse events, this project will determine the information needs of hospitalized patients and caregivers, and develop design requirements for a solution that supports communicating safety concerns to providers.
This project focused on developing and implementing CDS tools to support nurses in the development of care plans and involvement in quality improvement activities in the area of fall prevention in acute care.
Implemented a health IT system with added best-practices decision support modules in 7 nursing homes and evaluated the impact on care processes, resident health outcomes, and staff efficiency and satisfaction.
This project adapted and tested a virtual patient advocate to interact with patients after hospital discharge to address the problems of discontinuity and fragmentation of care that occur in the transition from the hospital to the ambulatory setting.