As artificial intelligence drives profound changes across the healthcare landscape, it is imperative for all providers, administrators and educators to utilize these innovations to deliver the best possible care. Cleveland Clinic’s Artificial Intelligence Summit presents North America’s leading minds in healthcare AI, with discussions designed to engage professionals at all levels of technological expertise. This exploration of AI’s impact and challenges for healthcare professionals.
Topics include: AI opportunities, innovations, ethics and governance, patient focused AI in the outpatient setting and acute care, impact on precision medicine, lowering complications, surgery, research, medical education, nursing, pharmacy and much more
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Session 1: AI Opportunities in Healthcare – Big Picture
Keynote: Transformational AI Opportunities in Healthcare
David C. Rhew, MD
Panel Discussion: AI Innovation, Ethics and Governance – What Does it Take to Be Ready to Safely Innovate?
Scott Steele, MD, Ben Shahshahani, PhD, Nikhil Buduma, Jeremy David and Michael R. Pinsky, MD
AI-Powered Revenue Cycle: Driving Efficiency, Accuracy and Innovation
Tracy Peffley, RHIA and Nicholas Judd, MBA, RHIA
Panel Discussion: AI Evaluation – What Does Success Look Like?
Nancy Albert, PhD, Jianying Hu, PhD, Anant Madabhushi, PhD, Susannah Rose, PhD and Andrea Sikora, PharmD
Session 2: Patient Focused AI
AI in the Outpatient Setting
Sarah Hatchett, MBA, Jennifer Owens, MS, Nikhil Buduma
Use of AI in Acute Care: Redefining Health and Disease
Michael R. Pinsky, MD
AI Benefits and Risks for Patients, Caregivers and Health Systems
Raymond Ng, PhD
Person-Centered AI: Ethical Innovation and the Future of Patient Experience
Susannah Rose, PhD
Session 3: AI for Precision Medicine and Surgery
Interpreter of Maladies: Application of Artificial Intelligence for Precision Medicine
Anant Madabhushi, PhD
Utilizing AI for Surgical Planning
John Weaver,MD
Surgical Navigation 2.0: From Analog to Autonomous
Giovanni E. Cacciamani, MSc, MD
AI in the OR: Personalizing Care, Lowering Complications and Automating Surgery
Christopher Weight, MD, MS
Session 4: AI in Research & Education
Impact of AI on Biomedical Research
Jianying Hu, PhD
AI in Medical Education
Neil Mehta, MBBS, MS
AI Pedagogy in Medical Education
Anthony C. Chang, MD, MBA, MPH
Session 5: Responsible AI, Nursing and Pharma
Responsible AI in a Healthcare System
Nigam Shah, MBBS, PhD
Impact of AI on Nursing: the Practice, the Utilization and the Workload
Nelita Iuppa, DNP, MS, RN-BC, Nancy Albert, PhD, CCNS, CCRN, Jennifer Owens, MS, and Kim Svoboda, RN-BC, MBA
Intersection of AI and Pharmacy: the Need for Medication Data Infrastructure
Andrea Sikora, PharmD





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