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This research aims to examine a health system’s four telehealth programs in response to the COVID-19 pandemic.
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 identify and characterize the factors differentiating patient portal users from non-users and develop guidelines to optimize portal design and development for population subgroups.
This project evaluates the effectiveness, barriers, and cost of a Spanish-language electronic health intervention to treat chronic insomnia in Hispanic patients.
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 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 project will create and evaluate a learning network to expand the use of the Rheumatology Informatics System for Effectiveness (RISE) registry for patient-reported outcomes on rheumatoid arthritis.
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.
This project will develop and test a personalized motivational text messaging intervention to improve management of diabetes and depression in low-income populations.