Shelagh Mulvaney, PhD

Shelagh Mulvaney, PhD, is an Associate Professor of Nursing with appointments in Biomedical Informatics and the College of Connected Computing at Vanderbilt University. A clinical psychologist and biomedical informatics investigator, her research integrates behavioral science, informatics, and technology to understand and improve health behavior and chronic disease self-management. She leads NIH and foundation funded research to develop and evaluate digital health platforms that deliver behavioral interventions, capture patient reported and real time data, integrate physiological data with behavioral and social contextual information, and incorporate patient generated data into clinical workflows. Her work has demonstrated the efficacy of technology mediated behavioral interventions and advanced personalized, context aware approaches to assessment, intervention, and feedback, particularly in diabetes. Her technical expertise includes ecological momentary assessment, mobile and sensor based measurement, patient reported outcomes, multimodal behavioral and physiological data integration, clinical informatics, and human centered evaluation of AI-enabled health technologies. Her current work extends these approaches to the evaluation of healthcare chatbots, including their safety, accuracy, and alignment with patient needs. Dr. Mulvaney is a Fellow of the American Medical Informatics Association and the Society of Behavioral Medicine.