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
- Patient-centered Care
- Health Insurance Portability And Accountability Act (HIPAA) Compliance
- Artificial Intelligence
- Healthcare Ethics
- Health Informatics
- Health Care Procedure and Regulation
- Digital Transformation
- Science and Research
- Clinical Documentation
- Ethical Standards And Conduct
- Medical Imaging
- Clinical Trials
- Radiology
- Precision Medicine
- AI Personalization
- Patient Education And Counseling
- Decision Support Systems
- Clinical Research
Tools you'll learn
Details to know
Shareable certificate
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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
This module explores how Generative AI is transforming clinical workflows. Learners will examine AI-powered clinical decision support systems, applications in medical imaging and diagnostics, tools for patient communication, and innovations in documentation and coding assistance. Through case studies and hands-on activities, learners will discover how GenAI can improve efficiency and accuracy in clinical practice.
What's included
11 videos2 readings1 assignment1 peer review1 discussion prompt
This module focuses on how GenAI accelerates research and innovation in pharma and biotech. Learners will explore AI applications in literature review and synthesis, clinical trial design optimization, drug discovery, and biomarker identification. Real-world examples and interactive exercises will highlight how GenAI shortens development timelines and enhances data-driven decision-making.
What's included
10 videos1 reading1 assignment1 peer review1 discussion prompt
This module examines the role of GenAI in enhancing patient-centered care. Learners will study applications such as personalized treatment planning, AI-generated patient education materials, virtual health assistants, and remote monitoring through telehealth. Practical exercises will demonstrate how AI can empower patients, improve communication, and support personalized care journeys.
What's included
10 videos1 reading1 assignment1 peer review1 discussion prompt
This module highlights how GenAI streamlines healthcare operations while maintaining compliance and quality. Topics include administrative automation, revenue cycle management, HIPAA and privacy considerations, and AI-powered quality improvement initiatives. Learners will gain insights into applying AI responsibly to reduce inefficiencies, ensure regulatory compliance, and support continuous improvement in healthcare systems.
What's included
11 videos1 reading1 assignment2 peer reviews1 discussion prompt
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