Generative AI is rapidly reshaping healthcare and life sciences—extending beyond traditional AI to generate clinical documentation, research insights, patient education materials, and operational workflows at scale. Generative AI in Healthcare: Clinical Practice, Research, Patient Care, and Operations explores how these tools can be applied safely, ethically, and effectively across real-world settings.

GenAI in Healthcare & Life Sciences

Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
9 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Critically evaluate and integrate Generative AI tools to support clinical decisions, medical imaging, and automated documentation.
Design and assess AI-driven strategies to accelerate literature synthesis, optimize trial design, and advance drug discovery efforts.
Develop and implement personalized patient care plans, generate clear education content, and deploy effective virtual health assistants.
Formulate and apply AI-based solutions to automate operations, ensure HIPAA compliance, and drive quality improvement initiatives.
Skills you'll gain
- Digital Transformation
- Science and Research
- Patient Education And Counseling
- Artificial Intelligence
- Health Informatics
- AI Personalization
- Clinical Documentation
- Clinical Trials
- Ethical Standards And Conduct
- Patient-centered Care
- Medical Imaging
- Radiology
- Health Care Procedure and Regulation
- Decision Support Systems
- Healthcare Ethics
- Clinical Research
- Health Insurance Portability And Accountability Act (HIPAA) Compliance
- Precision Medicine
Tools you'll learn
Details to know

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Assessments
4 assignments
Taught in English
Recently updated!
February 2026
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There are 4 modules in this course
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