AI Applications in Healthcare: A Conversation with Dr. Matthew Lungren
47mGeneral2024-05-22
Authors
Ashley Kennedy
Managing Staff Instructor at LinkedIn Learning
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.
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.
Skills covered
Artificial Intelligence for BusinessBusiness Analysis and StrategyOne-Off
Concepts
0. Introduction
- 01 - Generative AI is revolutionizing healthcare
- 02 - Meet Dr. Matthew Lungren
1. What is AI's Impact on Patient Care
- 03 - How does AI affect the patient experience
- 04 - How do AI workflows improve patient-doctor relationships
- 05 - How can AI reduce burnout and limited access to care
2. How Does AI Impact Workflow Efficency and Data Management
- 06 - What bottlenecks can AI solve in healthcare
- 07 - What data management and security considerations are there
- 08 - Why design proprietary AI healthcare systems
3. What Are the Ethical Considerations of Using AI in Healthcare
- 09 - What are the ethical concerns of AI in healthcare
- 10 - What does AI bias in healthcare look like
- 11 - How does AI-driven healthcare affect informed consent
- 12 - How can AI-driven healthcare become accessible to all
- 13 - How should healthcare systems set clear standards for AI
4. What's the Future of AI in Healthcare
- 14 - What is the future of AI in healthcare
- 15 - How should healthcare providers & patients learn and use AI
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