Evaluations of AI Applications in Healthcare

With artificial intelligence applications proliferating throughout the healthcare system, stakeholders are faced with both opportunities and challenges of these evolving technologies. This course explores the principles of AI deployment in healthcare and the framework used to evaluate downstream effects of AI healthcare solutions. In support of improving patient care, Stanford Medicine is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team. Visit the FAQs below for important information regarding 1) Date of the original release and expiration date; 2) Accreditation and Credit Designation statements; 3) Disclosure of financial relationships for every person in control of activity content.

• AI in Healthcare
• Evaluations of AI in Healthcare
• AI Deployment
• Downstream Evaluations of AI in Healthcare: Bias and Fairness
• The Regulatory Environment for AI in Healthcare
• Best Ethical Practices for AI in Health Care
• Readings related to best ethical practices for AI in health care
• AI and Medicine (Optional Content)
• Course Wrap Up