AI and Data Interoperability: A Symbiotic Relationship for Healthcare
Tuesday, April 18 at 4:15 PM - 5:15 PM CT
South Building, Level 4 | S401
As demand for care continues to rise, healthcare providers are facing increasing staff shortages in many parts of the world, putting a heavy burden on already overstretched healthcare professionals. Patients’ expectations of healthcare are also shifting. They are taking an increasingly proactive role in their health and well-being, expecting more accessible, convenient, and personalized care experiences. Artificial intelligence (AI) in healthcare has spurred a wealth of research and innovation in recent years, but barriers to clinical adoption remain. This session will discuss how we can reap the full potential of AI to improve patient outcomes and make healthcare more accessible, equitable, and affordable worldwide.
Learning Objectives
- Explain how AI is reshaping healthcare, enhancing human experience & supporting better decision making
- Illustrate the barriers/challenges to AI adoption & show solutions to overcome the barriers
- Conclude how AI supports making sense of tremendous amounts of data and drive return on insights
- Outline the ethical and societal impact of AI in healthcare
- Present use cases where AI enables better decision making and results in actionable clinical and operational insights
Credits
CAHIMS, CPHIMS, CME, ACPE, CNE, PDU, CHES
Status
Active
Audience
Allied Health Professional, Chief Data Officer, CIO/CTO/CTIO/Senior IT
ID
74
Speakers
