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Transforming Biomedical Informatics Research into Better Patient Care

Implementing and evaluating clinical decision support, predictive models, and AI-enabled innovations to improve healthcare delivery.

About

Dr. Allison B. McCoy is an Associate Professor in the Department of Biomedical Informatics at Vanderbilt University Medical Center, Director of the Vanderbilt Clinical Informatics Core, and Clinical Director with HealthIT. She specializes in applied clinical informatics, partnering with clinicians, researchers, and health system leaders to translate innovative ideas into scalable solutions that improve patient care.

Her work focuses on moving clinical informatics innovations—including clinical decision support, predictive models, and artificial intelligence—from research into real-world clinical practice. She has particular expertise in integrating these technologies into electronic health record (EHR) systems and clinical workflows and evaluating their performance, adoption, effectiveness, and impact after implementation.

Through the Vanderbilt Clinical Informatics Core, she supports investigators across the translational research lifecycle, from identifying and extracting EHR data through designing, implementing, and evaluating informatics interventions in clinical environments. This work includes operationalizing predictive models and AI-enabled tools, developing clinical decision support, and designing the workflows and evaluation strategies needed to understand how these technologies perform in practice.

Her research examines what happens after an informatics innovation leaves the development environment and enters clinical care: whether it reaches the right users, fits into existing workflows, performs as expected, changes clinical decision-making, and ultimately improves healthcare delivery. By combining applied clinical informatics, implementation science, and rigorous evaluation, she works to close the gap between promising technology and meaningful real-world impact.

Areas of Expertise

Clinical Decision Support • AI & Predictive Model Implementation • Real-World AI Evaluation • Electronic Health Records • Implementation Science • HealthIT Evaluation • Clinical Workflow Integration • Applied Clinical Informatics

Impact

Dr. McCoy’s work spans the full translational pathway from informatics research to clinical practice, with particular expertise in implementing and evaluating clinical decision support, predictive models, and AI-enabled tools in real-world healthcare settings. Her work helps determine not simply whether these technologies can work, but whether they do work when integrated into clinical care.