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Data ScienceIntermediate

GenAI in Healthcare & Life Sciences

Generative AI is rapidly reshaping healthcare and life sciences—extending beyond traditional AI to generate clinical documentation, research insights, patient...

By Hana Malik on Coursera

About This Course

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. Designed for clinicians, researchers, administrators, and digital health professionals, this intermediate course requires no coding experience. Through healthcare-specific case studies and hands-on labs using tools such as ChatGPT, you will apply GenAI to clinical decision support, medical imaging, automated documentation, literature review, clinical trial design, drug discovery, patient engagement, revenue cycle management, and HIPAA compliance. Equally important, the course addresses AI risks—including bias, hallucinations, privacy, and regulatory oversight—so you can evaluate outputs critically and protect patient safety. By the end, you will develop a practical, responsible framework for integrating Generative AI into clinical practice, research, and healthcare operations.

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Frequently Asked Questions

How much does GenAI in Healthcare & Life Sciences cost?

Visit the GenAI in Healthcare & Life Sciences course page for current pricing and available discounts.

Who teaches GenAI in Healthcare & Life Sciences?

GenAI in Healthcare & Life Sciences is taught by Hana Malik, Starweaver.

What skill level is GenAI in Healthcare & Life Sciences for?

This course is designed for intermediate learners.

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Students0
Duration4 hours
LevelIntermediate
Languageen
PlatformCoursera
InstructorHana Malik