The AI in Healthcare programme from Imperial Executive Education empowers healthcare professionals, leaders and innovators with the critical knowledge and tools to evaluate, adopt and scale artificial intelligence (AI) in real-world clinical environments. Amidst the growing demand for AI-driven healthcare solutions, the programme addresses the critical need for senior healthcare leaders like you to balance innovation and regulation, leading scalable, real-world AI adoption.

Led by Brendan Delaney, Chair in Medical Informatics and Decision-Making at Imperial College London, this six-week programme offers an understanding of AI including Agentic AI and an in-depth understanding of the regulatory frameworks for effectively evaluating and implementing AI tools. You will also gain a comprehensive AI skill set and the confidence to implement cutting-edge AI technologies in healthcare environments. Upon successful completion of the programme, you will earn the associate alumni status.

Who should attend?

The AI in Healthcare: Leading Responsible Adoption at Scale programme caters to healthcare professionals looking to drive AI adoption and responsible innovation in a rapidly evolving healthcare landscape. It is ideal for:

• Medical professionals and healthcare leaders looking to gain AI expertise to improve patient safety, reduce workload and adopt innovation while ensuring compliance
• Healthcare IT and digital leaders looking to move AI beyond pilots and ensure its safe scaling and integration
• Healthcare innovators and product builders looking to hone regulatory navigation and build healthcare adoption pathways
• Policy, regulation and governance leaders with non-technical educational backgrounds who would like to gain more clarity on reputational, computational and regulatory risks

Learning Objectives

By the end of the AI in Healthcare programme, you will be able to:

• Analyse the opportunities, risks and constraints of applying AI across healthcare settings, particularly in diagnostics, clinical decision-making and workflow optimisation.​
• Differentiate among AI model types and their applications within healthcare contexts.
• Design leadership strategies for driving AI transformation and improving patient outcomes.
• Evaluate key regulatory and cybersecurity considerations governing AI as a medical device across UK, EU and US jurisdictions.​
• Apply AI principles and the Learning Health System (LHS) framework to real-world use cases.​
• Assess the strategic and regulatory implications of AI adoption.​

Learning Journey

Through a comprehensive curriculum, the programme integrates AI technology, policy, leadership and regulation, enabling you to effectively evaluate various health care AI tools and strategies. It provides a holistic understanding of how AI can enhance care delivery safely, ethically and sustainably.

Module 1: AI in Healthcare: Introduction, Opportunities and Challenges

Module 2: Agentic AI in healthcare: From Transformers to AI Agents

Module 3: AI as a Healthcare Tool: Regulatory Readiness

Module 4: Clinical Decisions with AI

Module 5: AI Market and Organisational Readiness

Module 6: Systems Thinking and Leadership in AI