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Nursing

Healthcare AI Ethics & Bias

Artificial Intelligence is increasingly embedded in clinical decision support systems, diagnostic algorithms, rehabilitation technologies, and patient monitoring platforms. While AI can enhance care efficiency and outcomes, it also introduces ethical concerns including algorithmic bias, transparency limitations, and accountability challenges. This advanced course prepares clinicians to critically evaluate AI tools used in healthcare settings. Participants will examine ethical frameworks, bias mechanisms in machine learning systems, regulatory considerations, and strategies for maintaining equitable and patient-centered care when using AI-enabled technologies.

Self-paced3 hours3 CEUsbeginner
Course passport
3CEU
3 hr · Self-paced · beginner
Accredited by
CE Broker
Approved in 25 states
Counts toward state-board renewal
Curriculum

Course content

7 sections17 lessons
Course Introduction
Video
Accreditation

Approvals & CEU credit

CE Broker

Approval #20-1364693MT · LPN · RN · PT25 states
3 contact hours
3 credits

You have 0 credits — needs 3 more

30-day money-back guarantee

Approved by
CE Broker
This course includes
  • 3 hours of content
  • 3 CEUs upon completion
  • Self-paced delivery
  • Lifetime access