This research will develop and evaluate an artificial intelligence-driven clinical decision support system to detect and manage acute kidney injury in the emergency department.
This is a questionnaire designed to be completed by caregivers in an urgent care, emergency department, or ambulatory care setting. The tool includes questions to assess attitudes of telemedicine.
The research team will implement and evaluate an integration application that incorporates relevant health information exchange data directly into the electronic health record in the emergency department.
The goal of this conference is to develop a research agenda to support future clinical practice and evidence-based investigation at the intersection of telehealth and emergency medicine.
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 demonstrate the use of standards, including SMART on FHIR, combined with service-oriented architecture to bring vendor-agnostic clinical decision support (CDS) tools into commercial electronic health records, and provide evidence for how to implement validated CDS for important clinical domains, pulmonary, and venous thromboembolism, including for patients with COVID-19.
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 research assessed the use of a health information exchange system in emergency department settings, finding that although overall usage is relatively low, additional functionalities such as single sign on add value to clinical decision making and enable faster retrieval of patient records from external sources compared to traditional methods when embedded into existing workflows.