Talk Title: Advancing Digital Health: AI-Driven Interventions for Patient Care and Workflow Optimization

Speaker:  Matthew Louis Mauriello, Assistant Professor, Department of Computer & Information
Sciences, University of Delaware

Location: HBK 2105 and Zoom

Abstract:  As digital health technologies evolve, new possibilities for enhancing healthcare access and delivery are emerging. In this talk, I will present an overview of my research at the intersection of computer science and digital health, focusing on developing intelligent digital interventions. Specifically, I will discuss therapeutic chatbot systems for patient support, predictive tools for stress and burnout detection, and the integration of large language models for data processing and summarization. These technologies can potentially transform medical systems by enabling novel patient interactions and improving data acquisition while reducing administrative burdens. I will explore key challenges in designing and deploying these systems, including usability, ethical considerations, and the potential for clinical integration. By leveraging human-centered design principles and these emerging technologies, we can develop digital interventions that enhance healthcare efficiency and patient outcomes, ultimately shaping the future of intelligent health technologies.

Bio:  Dr. Matthew Louis Mauriello is an Assistant Professor in the Department of Computer & Information Sciences at the University of Delaware, where he directs the Sensify Lab. His research lies at the intersection of human-computer interaction and ubiquitous computing, focusing on digital health, personal informatics, wearables, and AI-driven interventions. His work explores developing and evaluating intelligent systems for patient support, stress and burnout detection, and workflow
optimization. Dr. Mauriello has an extensive background in interdisciplinary research, leveraging
advances in machine learning, social computing, and information visualization to design and assess
interactive health technologies. His research has been supported by the NSF, the Maggie E. Neumann
Health Sciences Research Fund, and industry partners. He earned his Ph.D. in Computer Science from the University of Maryland’s Department of Computer Science. He then completed a postdoctoral fellowship at Stanford University’s School of Medicine, where he worked on pervasive well-being technologies. Dr. Mauriello is also an active mentor, educator, and advocate for responsible AI and human-centered design in computing.