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This research will develop methods for measuring EHR communication networks—defined as EHR-based information sharing connections among healthcare professionals —in virtual care teams and to examine the relationship between EHR communication networks and care quality.
The project will develop a patient portal intervention to increase patient activation and promote collaborative decision making for patients with depression.
In this study, researchers assessed the feasibility of using commercial off-the-shelf mobile technology, including phones and fitness trackers, to collect and report patient-generated health data and patient-reported outcomes from diverse, disadvantaged patients in an urban safety net health care system.
This project developed a natural language processing electronic health record search tool that automatically identifies and ranks relevant clinical information based on a patient’s presenting complaint within the emergency department setting.
This research developed and evaluated a mobile health application to improve screening, intervention, and referrals in the care of pregnant women.
This project developed a patient-centric tool called the Surgical Risk Preoperative Assessment System to estimate the risk of adverse operative outcomes.
This project developed and tested a mobile health application for a centralized, pharmacist-managed cardiovascular risk service to improve patient engagement in self-management of cardiovascular risk.
This project informed Stage 3 Meaningful Use requirements by evaluating metrics related to identification of delirium in real time and improving accuracy of the problem list, thus potentially improving care for patients with delirium.
This project developed, implemented, and assessed a patient data collection and clinician feedback system for depression care management in primary care practices, and found improvements in patient medication filling and adherence.
This project evaluated the usability of medication fulfillment data obtained from electronic health records and piloted a clinical decision support tool that alerted physicians to potential hypertensive medication adherence lapses.