Chronic Disease Management
This research will adapt and implement a digital mental health intervention to improve care coordination of mental health services in ambulatory care settings.
This research aims to enhance and implement a clinical decision support tool that will support providers and underinsured patients in making personalized decisions regarding diet goal setting.
This research will validate a shared decision making tool integrated with patient-reported outcomes and clinical data from electronic health records for enabling decision support in patients with knee osteoarthritis considering total knee replacement.
This research will apply innovative health information technology strategies to improve methods for systematic collection and use of patient-reported outcomes in clinical care for those with multiple chronic conditions using person-specific patient-reported outcomes.
This research will develop an information technology and implementation strategy for using patient-reported outcomes in primary care settings caring for diverse patients with multiple chronic conditions.
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 research is adapting and scaling a previously piloted mobile application for asthma symptom tracking that has been enhanced with functionality relevant to the COVID-19 pandemic to assist primary care clinicians in better managing their patients with asthma.
This project will adapt and evaluate a mobile health application to improve patient-reported asthma outcomes in New York.
The project will develop a patient portal intervention to increase patient activation and promote collaborative decision making for patients with depression.
This project will develop and evaluate an an electronic dashboard to display patient reported outcomes for patients with rheumatoid arthritis that will facilitate clinician and patient conversations about their care.