Search found 64 items
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 implement and evaluate a “smart” pillbox given to patients in order to understand its ability to minimize discrepancies in prescribed regimens and to improve patients’ medication adherence after hospital discharge.
This research developed and pilot-tested a sleep promotion toolkit (SLEEPkit), an application designed to facilitate routine sleep assessment and inform individualized plans for sleep promotion.
This project will study the impact of errors in medical documents on quality of care and develop innovative natural language processing methods to automatically detect errors so that physicians can correct the documents before finalizing them in the electronic health record.
This project will use natural language processing and dynamic logic to create a high-fidelity model of risk of death to identify patients with low life expectancy.
This research developed and evaluated a mobile health application for patients with asthma.
The project team will develop a set of mHealth tools capable of collecting health behavior information and evaluate whether providing clinical feedback on these behaviors reduces obesity and improves health behaviors among at-risk families.
This project developed and pilot-tested TJR App, a mobile application designed to help patients with osteoarthritis track their pain and activity, and found that app users were more likely to track symptoms consistently, when compared to non-users.
This project convened stakeholder panels to inform the development of an indications-enabled computerized prescriber order entry system.
This project analyzed secondary data to identify factors associated with timely opening of electronic health record-based asynchronous alerts, timely response to the alerts, and patient outcomes.