Programme Content
This section aims to equip managers with a cross-functional, strategic, and ethical lens to engage with AI at scale in their domains.
What It Is, How It Works, and Why It Matters
This module helps participants build a clear and practical understanding of generative AI. Youll learn what makes this technology different, what it can do in healthcare settings, and how to stay updated as the field evolves. Well explore various tools, what theyre best used for, and what to watch out for regarding risks and limitations.
Example applications:
AI tools that help draft medical reports
Chatbots that support patients with medication reminders
Systems that summarize medical literature
Hands-On Practice with Chatbots and Smart Assistants
This module introduces the most common way people interact with generative AIthrough chat-based tools like ChatGPT. Youll learn how to ask better questions (prompt design), guide the AIs responses, and evaluate what the tool produces. Well also explore some of the most valuable platforms and help you understand when and how to use them in your daily work.
Example applications:
Creating first drafts of discharge letters or patient instructions
Asking an AI assistant to summarize complex cases
Preparing materials for team meetings or patient education
Customizing AI Tools for Real Healthcare Tasks
This module shows you how to go one step further by tailoring generative AI tools to your needs. Youll learn how to create simple assistants to support your work without needing to write code. These assistants can help automate routine tasks, answer frequently asked questions, or guide users through standard procedures.
Example applications:
A virtual assistant for new patient intake
A tool to help staff follow clinical guidelines
A bot that supports administrative work like appointment reminders
Smarter Workflows and Time-Saving Automations
Once youre comfortable using AI tools, this module helps you explore their more advanced features. Youll see how they can be part of larger workflowsfor example, generating a summary, creating a report, and scheduling a task simultaneously. Youll also learn how to connect different tools and automate repetitive tasks.
Example applications:
AI tools that prepare clinical updates from different data sources
Scheduling assistants that send follow-ups to patients automatically
Smart assistants that help gather background info for research or grant writing
How to Choose the Right Setup for Your Needs
This module explains the differences between AI tools that run in the cloud (online) and those that can be used locally (on your device or server). Youll learn the benefits and trade-offs of each, including privacy, cost, and speed. Well also introduce easy ways to build simple AI-powered tools, even if you dont have a technical background.
Example applications:
Using local AI tools to analyze internal reports securely
Comparing open tools with commercial platforms
Choosing the right setup for a small clinic or research team
Insights, Inspiration, and Real-World Examples
We will wrap up the program with a discussion led by experts already using generative AI in healthcare. Youll hear whats working and challenging and how theyve approached implementation. There will also be time for debate, reflection, and networking, with opportunities to discuss your ideas or next steps.
Highlights:
Case studies from hospitals, insurers, and innovators
Common pitfalls and how to avoid them
Peer sharing and collaboration opportunities
