AI Applications in Healthcare: A Conversation with Dr. Matthew Lungren

Course details

Healthcare providers and patients alike will find tremendous value in this interview-based course on AI-driven healthcare, featuring a conversation with Microsoft’s Chief Data Science Officer, Dr. Matthew Lungren. We’ll talk about how AI impacts patient care, improves workflow efficiency, and affects healthcare-related relationships. We’ll also dive into the ethics and societal impact of various AI-driven healthcare practices. Even if you’re not among the 10% of people who are employed in the healthcare industry, you won’t want to miss this important conversation with this incredible thought leader—because this topic affects us all.

Learning objectives
Explore generative AI implications in different facets of healthcare.
Learn innovative uses of generative AI in medical exploration.
Understand the relationship of AI in data and privacy.
Discuss ethical and societal impact of various AI-driven healthcare practices.
Look at the future implications of generative AI in healthcare.

Concepts

Introduction

Generative AI is revolutionizing healthcare
Meet Dr. Matthew Lungren

What is AI's Impact on Patient Care

How does AI affect the patient experience
How do AI workflows improve patient-doctor relationships
How can AI reduce burnout and limited access to care

How Does AI Impact Workflow Efficency and Data Management

What bottlenecks can AI solve in healthcare
What data management and security considerations are there
Why design proprietary AI healthcare systems

What Are the Ethical Considerations of Using AI in Healthcare

What are the ethical concerns of AI in healthcare
What does AI bias in healthcare look like
How does AI-driven healthcare affect informed consent
How can AI-driven healthcare become accessible to all
How should healthcare systems set clear standards for AI

What's the Future of AI in Healthcare

What is the future of AI in healthcare
How should healthcare providers & patients learn and use AI