This research will enhance, refine, and evaluate an artificial intelligence-supported tool that collects patient-reported outcomes to inform care and improve glycemic control for patients with poorly controlled diabetes.
This research will adapt and extend Intervention INC, a family-centered, interactive, health promotion tool, and evaluate its effectiveness on reducing childhood obesity risk.
To assist pregnant individuals with pre-pregnancy type 2 diabetes with Medicaid coverage in reaching and maintaining normal blood sugars, this research will develop, test, and evaluate a digital health solution called ACHIEVE that includes a mobile health application, a provider dashboard, continuous glucose monitoring, and team-based coaching for medical needs and nonmedical health-related social needs.
This research will refine an existing interoperable, patient-facing blood pressure control tool--the Collaboration Oriented Approach to Controlling High Blood Pressure (COACH) application--evaluate its implementation into three diverse clinical settings; conduct a randomized trial to assess its impact on lowering blood pressure; and develop a shareable, interoperable mechanism to aid in the dissemination of patient-facing clinical decision support tools.
This research evaluated the iMatter text-messaging patient-reported outcome tool versus usual care for reducing hemoglobin A1c (HbA1c) and supporting self-care in people with Type 2 Diabetes, finding no significant difference in HbA1c reduction but an improvement in smoking status for the intervention group.
Using participatory research methods, researchers developed a self-management mobile health application for self-management to help people with HIV manage their health and monitor their medication adherence.
Researchers refined and implemented integrated digital healthcare enhancements to a previously developed, interactive, patient-centered discharge toolkit, finding that while patients used the toolkit, there were no significant changes in post-discharge healthcare utilization.
This research focused on older adults’ perceptions of, motivations to use, and patterns of use of an adaptive, community-based, multi-user health kiosk.
This project developed and tested a smartphone application of an alcohol intervention for college freshmen and found that it worked as well as a traditional in-person approach.
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.
