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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.
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 study implemented a sociotechnical systems approach to the development of a health information technology-supported process for preventing and diagnosing venous thromboembolism.
Implemented the time-insensitive predictive instruments built into the computerized electrocardiograph in emergency medical service settings and emergency departments; also evaluated its impact on reducing errors and avoidable delays in emergency care.