AI-Powered Precision Health: Shaping the Future of Health Care

  • Event Date:
  • Event Time: Noon Central

Artificial intelligence (AI) brings both promises and concerns as it filters into the patient care environment, enabling precision health for better outcomes delivered more efficiently. Combining AI methods and systems with an irreplaceable human clinician can advance the delivery of care in a way that outperforms what either can do alone.

Imagine how patient experience would change if we could predict risks of specific outcomes and take proactive action. Thanks to the recent explosion of clinical, genomic and imaging data, a path for precision health — tailoring medical treatment to the individual characteristics of each patient — is becoming possible. Central to precision medicine are artificial intelligence and machine learning (ML), which make sense of the data, helping improve provider efficiency, increase diagnostic accuracy, personalize treatment and drive quality care.

Learn from Nigam Shah, MBBS, PhD, assistant professor of biomedical research and assistant director of the Stanford Center for Biomedical Informatics Research, about Stanford Medicine’s goal for precision health to improve the lives of billions of people. Following his presentation, he will be joined by experts from GE Healthcare for a panel discussion and Q&A exploring how, as health care organizations take advantage of rapid advancements in AI and ML, they will transform the future of health care delivery.

What You Will Learn:

  • About a program to bring AI safely and ethically into clinical practice in 3 to 5 years
  • How AI and ML can help advance the science of medicine, the practice of medicine and the delivery of health care
  • Examples of problems worth solving — use cases in diagnostic, prognostic and therapeutic applications
  • How providers will integrate algorithms driven by machine learning, deep learning, natural language processing and other methods into the care process
  • How health care organizations, professional societies and other stakeholders must take the lead in ensuring that patient safety, care quality and clinical productivity do not suffer when AI tools are introduced
  • How to use machine learning and individual health assessments to better understand the impact of cardiovascular disease, diabetes, cancer, and neurological and mental health
  • About a predictive model for palliative care that combines AI with medical expertise to help clinicians make more informed and humane decisions about end-of-life care


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Thought Leaders

Rob Nelson, DBA, MBA, FACHE
Global Marketing Director, AI and Analytics Solutions
GE Healthcare
Rob Nelson, DBA, MBA, FACHE image

Dr. Rob Nelson possesses over 20 years of experience in marketing, business development, strategy, operations and program management. Currently Rob is responsible for US the growth strategy of GE Healthcare’s Analytics Solutions business with an emphasis on consulting and analytics including new solution introductions. He is also Adjunct Professor at the Stuart School of Business at the Illinois Institute of Technology (IIT), where through his strategic marketing capstone course program of the MBA/MAC program at IIT, he and his students work with start-ups and the Knapp Entrepreneurship Center and other incubators on solving go-to-market issues for participating companies. His own inaugural start-up experience was with, then pre-IPO,, at its first location in Seattle.

Rob has served both as a private consultant and senior manager and executive, leading a dozen different organizations and multiple teams and projects for Fortune 30 and privately held firms including GE Healthcare, Quorum Health Resources, the American Board of Medical Specialties (ABMS), and the American Health Information Management Association (AHIMA), Motorola and IBM. Prior to his corporate career, he served 11 years in the US Navy as both enlisted in naval intelligence and as an officer in the combat logistics force.

Jeff Hersh, M.D., Ph.D.
Chief Medical Officer
GE Healthcare
Jeff Hersh, M.D., Ph.D. image

Jeff Hersh, MD, PhD, is the Chief Medical Officer of GE HealthCare. He’s been with GE for eight years and has more than 25 years’ experience in the healthcare industry. Hersh has extensive clinical experience, with a history of more than 20 years as a practicing physician. He is board certified in internal medicine, pediatrics, emergency medicine, and disaster medicine.

Nigam H. Shah, MBBS, Ph.D.
Associate Professor of Medicine (Biomedical Informatics)
Stanford University
Nigam H. Shah, MBBS, Ph.D. image

Dr. Nigam Shah is associate professor of Medicine (Biomedical Informatics) at Stanford University, Assistant Director of the Center for Biomedical Informatics Research, and a core member of the Biomedical Informatics Graduate Program. Dr. Shah's research focuses on combining machine learning and prior knowledge in medical ontologies to enable use cases of the learning health system.

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