Evaluations of AI Applications in Healthcare
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.
90/100
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What you'll learn
- Apply evaluation frameworks to assess AI healthcare solutions
- Analyze downstream effects of AI deployment in clinical settings
- Understand principles governing AI implementation in healthcare systems
Course objectives
- Explore principles of AI deployment in healthcare environments
- Evaluate the opportunities and challenges of evolving AI technologies in clinical practice
- Support improved patient care through evidence-based assessment of AI applications
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