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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.
In this study, researchers created new electronic health record-based decision support tools that guide clinicians’ perceptions and judgments of noncancer pain in ways that lead to increased use of guideline-based patient assessment and treatment of pain.
This project provided input to inform the development of nine proposed Stage 3 MU objectives focused on patient engagement, interoperability, and care coordination.
This project evaluated select Stage 3 Meaningful Use criteria in the Patient and Family Engagement, Care Coordination, and Interoperability domains and developed recommendations to improve them and increase their value to hospitals and practices implementing them.
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 assessed the readiness, feasibility, and perceived impact of achieving proposed Stage 3 Meaningful Use care coordination criteria among primary care practices.
While health information technology (IT) systems are expected to significantly reduce medication errors, studies have found that issues with usability and information design can actually facilitate errors or decrease the efficiency gains made possible by health IT.
This project developed, implemented, and evaluated the impact of a computerized tool to automatically identify tests with pending results at hospital discharge, and assist in communicating those to followup providers.
The study identified “hidden” costs – resources and staff time – that provider practices and health care organizations must consider when planning for EHR implementation.
This project’s aim was to improve providers' ability to distinguish viral infections from bacterial infections by providing physicians and patients with timely, accessible information about the local incidence of common respiratory viruses through the use of a population health repository and decision support tools.