Search found 28 items
This research will create patient-centered, interoperable, shareable clinical decision support tools that will support providers and patients in making patient-centered decisions about management of hypertension.
This research developed and evaluated mobile application messages that assisted individuals with hypertension to adhere to a low-sodium diet.
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 project developed, implemented, and evaluated a program that includes clinical decision support to improve diagnosis of hypertension in children.
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 project will determine the optimal display of blood pressure data for patients and their physicians in order to facilitate shared decisionmaking about blood pressure control and treatment.
This study found increased rates for some screening and preventative services following adoption of federally-certified electronic health records.
This project tested a reinforcement learning (RL) text messaging system, which tailors and adapts messages to the needs of patients with uncontrolled hypertension to promote medication adherence, and found it to be feasible and adaptive.
This project determined patient needs and preferences for healthcare reminders and notifications, developed and tested a prototype, and found that user-centered designs have the ability to provide more effective and patient-centered care.
This study evaluated Heart360, a mobile health management tool to improve blood pressure monitoring, medication management, and provider communication for stroke survivors.