Uli K. Chettipally, MD., MPH. is a pioneer at the intersection of artificial intelligence and healthcare. He is the co-founder and CTO of Kaiser Permanente’s CREST Network. Using real-time data at Kaiser Permanente's 21 medical centers in Northern California, CREST interfaces with Epic EHR to deliver analytic solutions to physicians and improve patient outcomes.
Dr. Chettipally is passionate about supporting doctors with machine learning technologies that magnify their ability to predict who is going to get sick, prevent them from getting sick, and provide them with the right treatments. He draws on 26 years of experience as an emergency physician and senior partner at Kaiser Permanente. He received the “Pioneer” award from Kaiser Permanente Innovations for his groundbreaking use of clinical decision support technologies, which have produced immense value for patients, doctors and the organization. Dr. Chettipally’s book Punish the Machine: The Promise of Artificial Intelligence in Healthcare arrives in February 2019.
Dr. Chettipally speaks about how big data and artificial intelligence have supported a value-based model for the healthcare industry—one in which healthcare systems make money by keeping patients healthy, rather than focusing on treating them when they become sick. He offers his invaluable perspective on the ways that technology is revolutionizing healthcare research and treatments, and on what the future will bring for the industry. His topics include AI, Big Data, Wearables and Technology & Connectivity in Healthcare.
He has presented at many scientific meetings and industry events such as Big Data 360, Medical MEMS & Sensors, Connected Healthcare, Maxim Integrated, Health Technology Forum, Big Data & Analytics for Healthcare & Life Sciences Summit, The Einstein AI, Deep Learning & Super-Intelligence Global Summit and AI Med He is an Assistant Clinical Professor of Medicine at the University of California, San Francisco, as well as a clinical researcher at the Kaiser Foundation Research Institute, and has published articles in various peer reviewed journals. He received his medical training from the Charles R. Drew University of Medicine & Science, Los Angeles, and his MPH from the University of California, Los Angeles.
Keywords: artificial intelligence and healthcare, AI, machine learning technologies, big data, technology and connectivity in healthcare, innovation, future