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Medical Quality Assurance in the Age of Artificial Intelligence

This course discusses the numerous benefits of utilizing artificial intelligence methods to supplement clinical acumen in diagnosis and treatment of many diseases in the hope of better optimizing outcomes. We will outline some the challenges of utilizing AI, specifically in minimizing bias, promoting an ethical framework for clinical care, providing reproducible and accurate clinical support, and maximizing interpretability and explaining the ability of differing artificial intelligence algorithms. The course conceptualizes different AI model types used in clinical and research areas and explains artificial intelligence quality assurance concepts, such as issues of physician patient care responsibility, how the standard of care may change beyond the use of clinical practice guidelines and randomized control trials, and some legal issues in implementation and malpractice.

Credit & MOC Details

Credit information is provided by the course provider. We recommend confirming credit eligibility with the provider or your licensing board before starting the activity.

Credit types

AMA PRA Category 1 Credit™Up to 1 credit

MOC types

No MOC

FDA REMS

No

Qualifies for MIPS

No

Pricing

Diplomate Members$31
Professional Members$37
Non Members$44

Listed by the provider · education.abqaurp.org

  • Online course / module
  • includes Article / monograph / reference
  • Credit · Up to 1 credit
  • From $31 · 3 rates
  • Released
    Jan 1, 2024
  • Last day to claim credit
    Dec 6, 2026 8 weeks left