Search found 24 items
This project will develop and evaluate the impact of the Prevent Diabetes Mellitus Clinical Decision Support on clinical outcomes, healthcare process measures, and associated costs.
This project will evaluate the effects of a technology-based patient-reported outcomes system on patient management of type 2 diabetes in primary care practices.
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 will develop and test a personalized motivational text messaging intervention to improve management of diabetes and depression in low-income populations.
This project will develop and disseminate an innovative communication system to identify and mitigate health risks for young African American women before pregnancy as a means of reducing health disparities in birth outcomes.
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 integrated a validated anxiety-specific screening tool in an existing clinical decision support system and tested it with a randomized feasibility pilot that found the tool did not increase detection of anxiety in pediatric primary care.
This project determined care priorities for patients with multiple chronic conditions based on patient needs, preferences, and capabilities and developed a set of recommendations for patients and providers.
This study aimed to improve care transitions for low-income patients with multiple chronic conditions using health information exchange, and found significant reductions in inpatient and emergency department utilization.
This study found increased rates for some screening and preventative services following adoption of federally-certified electronic health records.