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This project will develop and evaluate an electronic clinical decision support tool for care of patients with Acute Respiratory Distress Syndrome.
This project will examine health information exchange (HIE) usage patterns, the barriers and facilitators of HIE use, and the impact of HIE use by emergency department clinicians.
This project developed a natural language processing electronic health record search tool that automatically identifies and ranks relevant clinical information based on a patient’s presenting complaint within the emergency department setting.
This research took an existing sepsis-related clinical decision support (CDS) and developed, tested, implemented, and validated a knowledge-based artificial intelligence-enhanced sepsis CDS.
This project developed and pilot-tested a novel, outcomes-based emergency department triage tool and found that risk stratification and waiting times were improved for some patients.
The Electronic Data Methods (EDM) Forum facilitated learning and collaboration among researchers and other key stakeholders who are generating the data, methods, and knowledge needed to build learning health systems that will improve patient care and outcomes.
Established an automated surveillance system for detecting, reporting, and intervening as well as measuring the incidence and nature of adverse drug events suffered by patients.