Evaluations of AI Applications in Healthcare
By External Provider
About this course
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.
What you will learn
- Principles and practical considerations for integrating AI into clinical workflows
- Best practices of AI applications to promote fair and equitable healthcare solutions
- Challenges of regulation of AI applications and which components of a model can be regulated
- What standard evaluation metrics do and do not provide