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Search found 3 items
Transforming Kidney Care in the Emergency Department Using Artificial Intelligence-Driven Clinical Decision Support
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.
Improving Healthcare Processes and Outcomes by Directly Integrating Health Information Exchange Data in the Clinical Workflow
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.
Implementation of a Novel Multi-Platform Evidence-Based Clinical Decision Support System
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.
