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Practical Applications of AI in the Health System

Within the Artificial Intelligence Learning Series, learners will be introduced to keys concepts related to artificial intelligence (AI) and machine learning (ML) in health care. This module on practical applications of AI in the health system will enable you to identify health care AI stakeholders and their roles, recognize key considerations when implementing AI/ML algorithms into clinical practice, and describe the potential impact of AI/ML on various aspects of the health system. As you progress through this module series, you will see important considerations of using AI and ML in health care.

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 0.75 credits

MOC types

ABS — Accredited CMEUp to 0.75 pointsABPATH — Lifelong LearningUp to 0.75 pointsABIM — Medical KnowledgeUp to 0.75 pointsABP — Lifelong Learning and Self-AssessmentUp to 0.75 pointsABOHNS — Self-AssessmentUp to 0.75 points

FDA REMS

No

Qualifies for MIPS

No

Pricing

Free

Reported to ACCME by the provider

  • Journal-based
  • includes Online course / module
  • Credit · Up to 0.75 credits
  • MOC · Up to 0.75 points
  • Released
    Jun 25, 2024
  • Last day to claim credit
    Jun 26, 2027 9 months left