This research will use a clinical decision support tool to identify patients at high risk for type 2 diabetes and text message these patients, offering them in-clinic hemoglobin A1c testing.
This research will implement in pharmacies a patient-reported outcomes collection tool, PatientToc™, to collect data around medication adherence that can be used by pharmacists to improve adherence.
This project will design, implement, and evaluate a comprehensive set of tools in an electronic health record (EHR) to support improved intimate partner violence care.
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 project will develop and evaluate the impact of the Prevent Diabetes Mellitus Clinical Decision Support on clinical outcomes, healthcare process measures, and associated costs.
The project is adapting and scaling a technology-enabled practice model for asthma in a primary care setting, then evaluating its impact on patient-reported quality of life and utilization.
This project evaluates the effectiveness, barriers, and cost of a Spanish-language electronic health intervention to treat chronic insomnia in Hispanic patients.
This project will integrate the Computerized Adaptive Test for Mental Health into an electronic health record and evaluate the effectiveness of collecting depression symptoms with a patient portal.
This project will examine the quality and safety impact of patient-initiated telemedicine visits with primary care providers.
This project will adapt and evaluate a mobile health application to improve patient-reported asthma outcomes in New York.