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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 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