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GenAI in Healthcare & Life Sciences

GenAI in Healthcare & Life Sciences

Instructors: Hana Malik

Included with

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4 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

9 hours to complete

Flexible schedule

Learn at your own pace

4 modules

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

Tools you'll learn

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There are 4 modules in 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.

Module details

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

11 videosTotal 67 minutes

Intro Video to Course 4 minutes
Module Introduction 2 minutes
What is Clinical Decision Support with GenAI? 6 minutes
Opportunities & Risks (Hallucinations, Bias, Oversight) 6 minutes
Case Study: AI in Sepsis Early Warning Systems 6 minutes
AI in Radiology & Pathology 7 minutes
Demo: Generating an Imaging Report with AI 8 minutes
Case Study: Mayo Clinic & AI Radiology Workflow 7 minutes
AI for Clinical Documentation & Coding 7 minutes
Demo: Creating a Discharge Note with GenAI 6 minutes
AI Chatbots for Patient Communication 8 minutes

2 readingsTotal 10 minutes

Welcome to the Course: Course Overview5 minutes
The Potential for Artificial Intelligence in Healthcare 5 minutes

1 assignmentTotal 20 minutes

GenAI in Clinical Practice20 minutes

1 peer reviewTotal 10 minutes

Hands-On-Learning: Automating Clinical Documentation with Generative AI 10 minutes

1 discussion promptTotal 10 minutes

Applying GenAI to Everyday Clinical Workflows10 minutes

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

10 videosTotal 67 minutes

Module Introduction 2 minutes
Accelerating Research with AI 6 minutes
Demo: Summarizing Research Abstracts with GenAI 8 minutes
Best Practices & Risks in AI Literature Reviews 6 minutes
AI in Clinical Trial Design 8 minutes
Demo: Using AI for Trial Recruitment Prediction 7 minutes
Case Study: FDA-Approved AI-Assisted Trial Design 7 minutes
AI in Molecular Design & Screening 8 minutes
Demo: Generating a Compound Library with AI 7 minutes
AI in Biomarker Discovery 7 minutes

1 readingTotal 5 minutes

Artificial Intelligence in Drug Discovery and Development Nature Reviews Drug Discovery 5 minutes

1 assignmentTotal 20 minutes

GenAI in Research and Drug Discovery20 minutes

1 peer reviewTotal 10 minutes

Hands-On-Learning: Using GenAI to Accelerate Literature Review and Trial Design 10 minutes

1 discussion promptTotal 10 minutes

Balancing Innovation with Ethics in AI Research10 minutes

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

10 videosTotal 69 minutes

Module Introduction 2 minutes
AI in Personalized Medicine 7 minutes
Demo: AI-Generated Care Pathway 7 minutes
Challenges in AI-Driven Personalization 8 minutes
AI for Patient-Friendly Health Education 7 minutes
Demo: Creating a Patient Handout with GenAI 6 minutes
Evaluating AI-Generated Materials for Clarity & Accuracy 8 minutes
Virtual Health Assistants in Patient Care 8 minutes
Demo: Using an AI Chatbot for Patient Engagement 7 minutes
Remote Monitoring & Telehealth with AI 9 minutes

1 readingTotal 5 minutes

Virtual Health Assistants: The Future of Patient Engagement? Frontiers in Digital Health 5 minutes

1 assignmentTotal 20 minutes

GenAI in Patient Care and Engagement20 minutes

1 peer reviewTotal 10 minutes

Hands-On-Learning: Designing a Patient Education Resource with GenAI 10 minutes

1 discussion promptTotal 10 minutes

Personalizing Care with AI Tools10 minutes

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

11 videosTotal 68 minutes

Module Introduction 3 minutes
AI for Administrative Efficiency 8 minutes
Demo: Automating Prior Authorization with AI 6 minutes
Case Example: Reducing Staff Burden with AI 7 minutes
AI in Billing and Claims 6 minutes
Demo: AI Detecting Billing Errors 6 minutes
AI for Fraud Detection 7 minutes
HIPAA & AI Privacy Considerations 7 minutes
Demo: Using AI for Compliance Auditing 6 minutes
AI in Quality Improvement Programs 8 minutes
Course Wrap-Up4 minutes

1 readingTotal 5 minutes

The HIPAA Privacy Rule 5 minutes

1 assignmentTotal 20 minutes

GenAI in Healthcare Operations and Compliance20 minutes

2 peer reviewsTotal 70 minutes

Hands-On-Learning: Automating Administrative Workflows Responsibly10 minutes
Project: AI-Powered Healthcare Strategy: Applying GenAI in Clinical, Research, Patient Care, and Operations 60 minutes