Talk Title: Health Innovation and AI: A Privacy Officer's Perspective

Bio: Sondra Hornsey is the Chief Privacy and Data Protection Officer at Vanderbilt University Medical Center, overseeing the HIPAA Privacy Office and the International Privacy Office. She has 20+ years of experience leading academic medical center privacy programs including those at Washington University School of Medicine and Stanford Health Care. She's held multiple roles in research, clinical, and administrative spaces with Washington University School of Medicine Departments of Psychiatry and Neurology and the Faculty Practice Plan (1996-2016). 

Talk Title: AI in Nursing: Revolutionizing Patient Care

Bio: Sarma Velamuri, MD is a world-class sepsis expert and thought leader committed to saving lives with AI. 

Dr. Velamuri is a published, board-certified Internal Medicine physician. Among his many accomplishments, he was a hospitalist at Baylor College of Medicine (BCM), served on the Catholic Health Initiatives (CHI) sepsis committee, and was appointed as the 2018 Sepsis Champion for HCA-Houston.

He’s also served as the Medical Director of a Fortune 500 company and was an active board member at the Texas Medical Center Sepsis Collaborative. Dr. Velamuri presented as the keynote speaker for Stanford University’s Hack from Home healthcare innovation hackathon and has spoken at various other premiere events including the FBI’s Biotechnology Security Summit, UC Berkeley’s Hacks for COVID 2020 panel and the Mayo Clinic Platfrom_Accelerate’s showcase in 2024.

Talk Title: Transforming Healthcare, One Nudge at a Time

Bio: Dr. Den Haring is an AI entrepreneur passionate about transforming health care and obsessed with digital technologies that reshape how we live, work, and play. Dr. Den Haring received his MSc & Ph.D. in Economics from universities in Europe and has over 25 years of product development and operations leadership experience, delivering award-winning AI solutions for healthcare, financial services, law enforcement, and national security. He has participated in several successful buy-side and sell-side M&A transactions for public and private technology companies in the United States and Canada. Prior to Lirio, Marten was SVP, Platform at Element AI, which was co-founded by Turing-award winner Dr. Yoshua Bengio. He also held executive positions at Oracle, OpenText, and Digital Reasoning.  In his current role at Lirio, he is improving people's health behaviors and outcomes through Precision Nudging.

Talk Title: Why Pundits are Getting the Future of AI in Healthcare so Wildly Wrong (a contrarian view)

Bio: David is the Chairman and CEO of CopilotIQ, an AI-driven high-frequency connected care platform for older Americans with chronic conditions. David led CopilotIQ to win Fast Company's Most Innovative Companies in 2024. 

Previously David was founder of Plum, winner of 2020 Best of KBIS. Prior he was Corporate Vice President of Products and Strategy at Juniper Networks, following its acquisition of Mykonos Software for $80 Million, where David was Founder, Chairman and CEO.

He is the named inventor on more than a dozen technology patents, and has led his companies as CEO to win the Wall Street Journal Innovation Award, FastCompany's Most Innovative Companies, and was named as an Innovator to Watch by Bloomberg BusinessWeek.

In his spare time he is an instrument rated pilot, an avid traveler to 94 countries and counting in search of great street food, and father to two amazing girls.

Talk Title: Practical Considerations for AI in Health Analytics

Bio: Larry Van Horn, Ph.D is an entrepreneur, board member and leading expert and researcher on health care management and economics. He holds the title of Professor of Economics and Strategy, Emeritus at Vanderbilt University.

He has extensive board experience, serving on both public and private boards, and has advised the state of TN on health policy, and worked with the White House on issues related to price transparency in health care markets.

He is the founder and CEO of Preverity, Inc., an Insurtech analytics firm that has created a risk prediction and patient safety platform serving US commercial malpractice insurers and health systems. 

Talk Title: AI Advancements in Healthcare: An Overview from HAIS24 and Beyond

Bio: Jesse Spencer-Smith, PhD is Director and Chief Data Scientist for the Data Science Institute at Vanderbilt University, and is Professor of the Practice of Computer Science. He leads a team of data scientists and postdoctoral fellows who collaborate with researchers across the university and medical center and with industry partners, and teaches courses on artificial intelligence. He consults with researchers and business leaders on using, training and developing new AI models. He holds a PhD in Cognitive Psychology and Cognitive Science from Indiana University, and a BS in Computer Science from the University of Florida. He was previously at HCA Healthcare for nine years, where as Director of Data Science he built the first data science team for the company and was charged with enabling data science across the enterprise through training, mentoring, skills assessments and consulting with business units on data science and AI preparedness. At the University of Illinois Urbana-Champaign, he was an Assistant Professor of Psychology in Quantitative Methods and was a Beckman Fellow at the Beckman Institute for Advanced Science and Technology. In high school,  he founded of an early software technology company that developed solutions for civil engineering using the first generations of personal computers. 

Talk Title: AI-Guided Chart Abstraction

Bio: Daniel Fabbri, PhD, FAMIA, is an Assistant Professor of Biomedical Informatics and Computer Science. Dr. Fabbri is also the Director of Informatics Innovation at Vanderbilt University Medical Center. He received his PhD in computer science from the University of Michigan before joining the Vanderbilt faculty in 2014.

Dr. Fabbri’s research focuses on data management and machine learning applied to electronic medical records and clinical data. His early research developed privacy and security systems to identify inappropriate use of medical records, which was spun out into the company Maize Analytics, which was acquired in 2021 and again in 2022. During his tenure at Vanderbilt, his research has been sponsored by the National Science Foundation, the National Institutes of Health and the Department of Defense. His recent projects have provided operational support across Vanderbilt University Medical Center through the development of tools for patient engagement, efficient medical record chart review and crowdsourcing services. Beyond research, Dr. Fabbri has taught the Big Data course and mentored undergraduate, master’s and PhD students.

Talk Title: Dr. AI Will See You Now

Bio: Dr. Yaa Kumah-Crystal is a Pediatric Endocrinologist and Biomedical Informaticist at Vanderbilt University Medical Center. Her research centers around enhancing communication in the Electronic Health Record (EHR) system through documentation, voice technology, and exploring generative AI pathways for clinical summaries utilizing EHR metadata. Dr. Kumah-Crystal's research includes in-depth evaluations of large language models (LLMs) in informatics queries and for clinical reasoning. Dr. Yaa Kumah-Crystal is an active leader in academic discussions on the emerging use cases for LLMs. Collaborating closely with VUMC HealthIT, Dr. Kumah-Crystal aims to streamline data capture, improve information accessibility for patients, and facilitate collaboration among healthcare professionals. Dr. Kumah-Crystal remains clinically active, supervises Pediatric Endocrine Fellows, and sees her own clinic patients who know her as Dr. Yaa.

Talk Title: Baking Responsibility into the AI for Health Lifecycle… and Why it Matters

Bio: Bradley Malin is the Accenture Professor of Biomedical Informatics, Biostatistics, and Computer Science at Vanderbilt University, as well as the Vice Chair for Research Affairs in the Department of Biomedical Informatics at Vanderbilt University Medical Center, where he co-founded and co-directs the AI Discovery and Vigilance to Accelerate Innovation and Clinical Excellence (ADVANCE) Center.  His research is in the development of trustworthy artificial intelligence methodology and infrastructure. He is a principal investigator of several large consortia on artificial intelligence sponsored by the National Institutes of Health, including the Artificial Intelligence/Machine Learning Consortium.  Among various honors, he is an elected fellow of the National Academy of Medicine (NAM), the American College of Medical Informatics (ACMI), the American Institute for Medical and Biological Engineering (AIMBE), the International Academy of Health Sciences Informatics (IAHSI), and the Institute of Electrical and Electronics Engineers (IEEE). He received his bachelor’s in biological sciences, master’s in public policy and management, and doctorate in computer science from Carnegie Mellon University.