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This project will use natural language processing and dynamic logic to create a high-fidelity model of risk of death to identify patients with low life expectancy.
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.
Assesses the value of health IT to clinicians through creation of CDSS tools integrated with clinical documentation workflow and physician performance feedback, its impact on clinical decision support and quality assessment, and its cost-effectiveness.
Developed a plan for enhancing communication at care transitions through an implementation plan for a community- and patient-shared EMR abstract that is available at the point of care.