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AHRQ-Funded Projects
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Implementation of a Novel Multi-Platform Evidence-Based Clinical Decision Support System
This research will develop, test, and evaluate a vendor-agnostic platform for clinical decision support rules that can be made available to any commercial electronic health record.
i-Matter: Investigating an mHealth Texting Tool for Embedding Patient-Reported Data into Diabetes Management
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.
Adapting, Scaling, and Spreading an Algorithmic Asthma Mobile Intervention to Promote Patient-Reported Outcomes Within Primary Care Settings
This project will adapt and evaluate a mobile health application to improve patient-reported asthma outcomes in New York.
Providing Evidence and Developing a Toolkit to Accelerate the Adoption of Patient Photographs in Electronic Health Records
This study will evaluate the effectiveness of patient photographs displayed in electronic health record systems for preventing wrong-patient errors.
Develop and Validate Health IT Safety Measures To Capture Violations of the Five Rights of Medication Safety
This project will develop and validate new measures needed for automatically identifying violations of the “Five Rights of Medication Safety”: right patient, right dose, right medication, right route, and right frequency.
Improving Diagnosis of Cardiovascular Disease in the Emergency Department Using Cognitive Informatics Tools
This project will develop a patient-based dashboard to improve cognitive hygiene in the emergency department, aiding in the diagnosis of acute coronary syndrome.
Using the Electronic Health Record To Identify Children Likely To Suffer Last-Minute Surgery Cancellation
This project will apply machine learning against a large data set to develop a model to both understand and predict surgical cancellations on individual pediatric patients at two pediatric surgical sites.
Information Needs of Homecare Nurses During Admission and Care Planning
This project will analyze and model the information requirements, decisionmaking, and workflow of homecare nurses admitting patients and characterize if and how health information technology systems support their needs.
Portals in Inpatient Care: Evaluating the Usability, Use, and Patient Experience Associated With Patient Portal Technology at the Bedside
This study assessed the usability and impact of inpatient portals on patient experience, engagement, and perceptions of care.
Development of an Electronic Medical Record-Integrated Enhanced After-Visit Summary
This project developed and pilot tested an electronic after-visit summary (AVS) that incorporated evidence-based strategies for communicating printed health information to patients and determined best practices for future AVS development.
