Guidelines and guardrails for AI in healthcare
High-quality
data is the first step towards successful use of artificial intelligence in
healthcare. What exactly do we mean by high-quality data and how do we get
there?
Our AI systems and the data they are based on need to meet strict standards for quality, equity, integrity, and diversity. In order to do this, we need guidelines for assessment and quality management. We also need guardrails to keep us from making serious errors.
Mayo Clinic is a member of the Coalition for Health AI (CHAI) and is driven by its mission to prioritize patients' needs. CHAI and Mayo Clinic believe that AI systems must be reliable, fair, and transparent. Along with the other members of CHAI, they are working to develop guidelines and guardrails for the entire AI life cycle. During this webinar, Mayo Clinic will be showcased as an example of how high-quality healthcare can be achieved by using AI.
Presentation by Shauna M. Overgaard, manager at the Center for Digital Health, Mayo Clinic, USA.
This webinar will be held in English.
Dr. Shauna Overgaard leads the enterprise alignment of comprehensive and scalable AI evaluation and translation efforts at Mayo Clinic. Her work focuses on developing and adopting rigorous standardized approaches for designing, testing, implementing, and monitoring AI-based digital solutions that facilitate safe, ethical, and effective health AI solutions.
Recording
You can download the podcast to your phone from Apple Podcasts, Spotify or Podbean. Search for "Norwegian Centre for E-health Research".