This project will evaluate the comparative effectiveness of asynchronous telepsychiatry versus synchronous telepsychiatry in a skilled nursing facility population using a 12-month randomized controlled trial.
This project will evaluate a computerized provider order entry (CPOE)-based function—medication voiding—that can be used to prospectively identify and document medication ordering errors.
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 enhance novel algorithms for matching patient health information across data sources, implement them, and evaluate their accuracy.
This study showed the feasibility and value of creating a methodology and process for a health information technology black box to inform electronic health record design and usability.
The research team developed and tested algorithms that can predict postoperative adverse outcomes with a high degree of accuracy.
This research team designed and tested an application called Power to the People to assist older patients to self-manage their chronic heart failure.
This project will develop and evaluate an electronic health record-embedded clinical decision support tool that draws upon the strength of analytical and naturalistic decision-making to optimize the use of blood cultures in critically ill children.
This project aims to improve access to high quality mental health services for diverse populations by implementing asynchronous telepsychiatry consultations combined with automated online interpreting.
This pilot project implemented a Social Knowledge Networking system and concluded that it supported progress toward meaningful use of medication reconciliation technology in an electronic health record.