This research will implement and scale a tailored interoperable clinical decision support tool and evaluate its impact on improving patient-centered chronic pain care.
This research will examine a State-subsidized integration of prescription drug monitoring programs (PDMPs) into electronic health record systems and its impact on PDMP use and provider prescribing behavior.
Leveraging Health System Telehealth and Informatics Infrastructure to Create a Continuum of Services for COVID-19 Screening, Testing, and Treatment: A Learning Health System Approach
This research aims to examine a health system’s four telehealth programs in response to the COVID-19 pandemic.
Shareable, Interoperable Clinical Decision Support for Older Adults: Advancing Fall Assessment and Prevention Patient-Centered Outcomes Research Findings into Diverse Primary Care Practices (ASPIRE)
The purpose of this research is to develop a standards-based, interoperable, and publicly available clinical decision support resource to aid primary care practices in instituting routine fall risk assessment and prevention care plans.
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 aims to develop and test a voice-activated smart system that will promote self-management and provide coping tools, motivation, and social support to help older adults with multiple chronic conditions.
This research will support the development and testing of two electronic care plan applications and implementation guide for managing persons with chronic kidney disease and at least one additional chronic condition.
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.
Translating Hypertension Guidelines into Practice: Development of Interoperable Clinical Decision Support
This research will create patient-centered, interoperable, shareable clinical decision support tools that will support providers and patients in making patient-centered decisions about management of hypertension.
A Direct-to-Patient Alert for Glycated Hemoglobin Screening Using Prediction Modeling and Mobile Health (mHealth)
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.