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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 research will support the development and testing of two electronic care plan applications and implementation guide for managing persons with chronic kidney disease and at least one additional chronic condition.
This project built an automated intervention that recognized critical imaging results that require additional testing and populated a discharge summary with recommendations, resulting in improved patient followup.
This project implemented a program to improve the quality of chronic kidney disease care using disease registries and decision support tools within an advanced electronic health record.
Created an information management environment that integrated patient care data, standardized practice variation and use of best practices, and supported the delivery of a seamless continuum of patient care throughout the health system through CPOE.
Developed and evaluated Web-enabled education tools in hospitals and homes for renal transplant patients to reduce medication errors and improve safety and compliance using wireless portable computers.