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This research will further scale clinical decision support aimed at preventing the prescription of inappropriate medications to older adults upon discharge from the emergency department.
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.
This project determined care priorities for patients with multiple chronic conditions based on patient needs, preferences, and capabilities and developed a set of recommendations for patients and providers.
This study found increased rates for some screening and preventative services following adoption of federally-certified electronic health records.
This project aimed to capture and understand how clinical work is actually done, and then to analyze how the efficiency and quality of care could be measurably improved through health information technology.
This study examined the relationships between the stage of electronic health record adoption, missed nursing care, and the nursing practice environment’s adverse effect on hospitalized patients’ outcomes and satisfaction.
This project tested three types of clinical decision support alerts and found that pop-up alerts were the most effective, but were the least preferred by dental providers.
This study assessed the barriers, facilitators, and impact of implementing an electronic health record in a home care agency, and developed recommendations for Meaningful Use (MU) objectives in long-term and post-acute care settings.