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AHRQ-Funded Projects
Enabling Shared Decision Making to Reduce Harm from Drug Interactions: An End-to-End Demonstration
This research will develop and disseminate sharable, interoperable drug-drug interaction decision-making tools that enable patient-centered shared decision making.
Clinical Decision Support for Chronic Pain Management
This research will develop, implement, disseminate, and evaluate reusable, shareable clinical decision support for both patients and clinicians in the area of chronic pain management.
Clinical Decision Support for Chronic Pain Management
This research will develop, implement, disseminate, and evaluate reusable, shareable clinical decision support for both patients and clinicians in the area of chronic pain management.
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.
An Evaluation of the Spread and Scale of PatientToc™ from Primary Care to Community Pharmacy Practice for the Collection of Patient-Reported Outcomes
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.
Connected Cancer Care: EHR Communication Networks in Virtual Cancer Care Teams
Human Factors Considerations in the Design and Implementation of Telemedicine-Integrated Ambulance-Based Environments for Stroke Care
This research will evaluate an existing ambulance-based stroke telemedicine pilot program in order to develop guidelines to expand the program.
Health Information Exchange Utilization and Inter-Hospital Transfer Outcomes
Dissemination and Implementation of QT Risk Clinical Decision Support
This research will further disseminate a currently used clinical decision support tool to identify patients at risk for a life threatening, uncommon cardiac arrhythmia.
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.
