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The project will develop a patient portal intervention to increase patient activation and promote collaborative decision making for patients with depression.
This study will test the hypothesis that low-income, disadvantaged patients can provide high-quality patient-generated health data and patient-reported outcomes through commercial technologies, and that these data can be used to improve healthcare quality and delivery.
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 project will develop 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.