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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.
This project will conduct a proof-of-concept and feasibility study of aphasia telerehabilitation for stroke patients with aphasia residing in rural North Carolina.
This project assessed provider mental workload and performance while processing electronic abnormal test results and found that a test result tracking mechanism improved physicians’ clinical performance.
This project enhanced the Children’s Electronic Health Record Format (Format) by identifying a high priority set of 47 functional requirements from the initial larger set, and creating a list of 16 recommended uses of the Format along with implementation notes.
This project assessed and made recommendations about draft Stage 3 Meaningful Use objectives in the areas of care coordination and patient and family engagement.
This project looked at barriers to meaningful use of electronic health records by providers serving a high proportion of Medicaid-insured patients.
For this project, software engineering practices were developed to guide others in the development of trustworthy electronic health record applications; developed techniques to evaluate the trustworthiness of these applications; and used these techniques to evaluate six products.
This project conducted a systematic literature review to catalogue study designs used to evaluate the clinical effectiveness of clinical decision support and knowledge management systems.
The project team implemented a Web-based service clinical decision support application to detect care transitions, and produce and send care event summary reports to patients, patients’ assigned medical homes, and care managers.
The goal of this project was to promote increased adherence to evidence-based pharmacotherapy guidelines through both traditional clinic-based and newer models of care.