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 project will demonstrate the technical feasibility and clinician and patient acceptability of linking a full-scale 3D model of a private home with an electronic health record.
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 will determine care priorities for patients with multiple chronic conditions based on patient needs, preferences, and capabilities; and inform the design of a prototype interactive priority care plan shared between 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 established the feasibility of extracting quality indicators from hospice electronic medical records for comparative effectiveness research.
This project team developed a quantitative decision support system to help clinics balance timeliness of care with continuity of care.
This project evaluated a multidisciplinary team approach to diabetes care that was combined with technology tools, including an online disease management system integrated with an electronic health record.
This project examined the fidelity of the implementation of the Self-Management Automated Real-Time Telephone Support program to better-inform tailoring of health