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 research will examine the evidence around the value of order sets, while uncovering clinician perceptions that hinder their efficient use.
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 research will evaluate an existing ambulance-based stroke telemedicine pilot program in order to develop guidelines to expand the program.
This project will implement a social needs assessment in an emergency department and evaluate its impact on health outcomes.
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 research investigated how electronic health record use affected clinical workflow, efficiency, and quality of care in the emergency department, and developed recommendations for future stages of Meaningful Use.
This project will apply the science of human factors and cognitive engineering to the design of clinical decision support and information technology with the goal of improving patient safety.
This project will design and implement a care coordination system using a smartphone application that sends location-based alerts to care managers when high-risk patients receive care at a regional hospital or emergency room.
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.