Workshop Description 
This workshop introduces students to the basics of artificial intelligence (AI) in healthcare and its applications. Students learn what AI is in plain language, how it has evolved across the healthcare system, where it is being used today by providers and payers. They will learn what ethical and practical considerations shape its responsible use. The session closes with a guided case study on claims automation so students can see AI at work in a real healthcare workflow. 

Who Should Attend 

• Students new to artificial intelligence who want a clear, non-technical starting point 

• Students in the healthcare administration program  

• Entry-level healthcare workers and career changers exploring how AI is changing day-to-day roles 

What’s Included 

• Introduction to the World of AI in Healthcare 

• Foundational knowledge on AI's evolution in healthcare, including key milestones, ethical considerations, and real-world impact 

• Case study: claims automation 

Prerequisites 
None. 

Workshop Details 
Live online through Microsoft Teams. The session runs as a single 90-minute block with a short break, and emphasizes active participation through chat, polls, and guided discussion. 

What You’ll Learn 

• What AI is and is not, explained in everyday language with the key terms used in healthcare settings 

• How AI has evolved in healthcare, from early clinical decision support and electronic records to today’s predictive analytics and generative AI tools 

• Where AI shows up across the healthcare system, including provider organizations, insurers and other intermediaries, and patient-facing tools 

• Common real-world applications such as documentation support, imaging and diagnostic assistance, scheduling, risk prediction, and administrative automation 

• Why healthcare data is different, and what privacy, security, and consent mean when that data is used to train and run AI models 

• Core ethical considerations, including bias and systematic error, transparency, competing interests, and the need for human oversight 

• How AI supports claims automation end to end, from eligibility verification and coding review to denial prediction and appeals support 

• How to review AI-generated output critically and recognize when a human decision is required 

• Where entry-level healthcare roles fit into AI-supported workflows  

Session Details* 

*Session details are subject to change.