Step into the future of medicine with Code of Ethics: Guiding the Future of AI in Healthcare! This 3-hour self-paced course takes you on a journey through the essentials of AI in healthcare, starting with the difference between generative and predictive AI and how they enhance diagnostics and personalize treatments. You'll delve into the ethical principles—autonomy, beneficence, nonmaleficence, and justice—that ensure AI is used responsibly in medical settings.
As you progress, you'll tackle key topics like data privacy, patient confidentiality, and the balance needed for AI to access health information safely. Discover strategies to address bias in algorithms and reduce disparities in healthcare outcomes. We’ll also cover transparency, explainable AI, and the regulatory frameworks that keep AI practices accountable.
Looking ahead, explore emerging trends like personalized medicine and robotic surgery, with a focus on ethical guidelines that protect patients and advance healthcare.
Module Overview:
- Introduction to AI in Healthcare
- Ethical Principles in AI
- Privacy and Data Security
- Bias and Fairness in AI
- Transparency and Accountability
- The Future of Ethical AI in Healthcare
Course Time: 3 hours (self-paced, fully online)
Baylor University Faculty and Staff: If your department is covering the cost of this course, please reach out to extendedlearning@baylor.edu to request the Intercompany Payment form. Once you've completed the form, you’ll receive further instructions on how to proceed with registration.
