AI in Healthcare: Leading Responsible Adoption at Scale
This programme empowers healthcare professionals, leaders and innovators with the critical knowledge and tools to evaluate, adopt and scale AI.
Course key facts
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Date
28 May - 9 July 2026
Duration
6 weeks
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Credits
Non credit bearing
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Format
Online
Fee
£1,650
Overview
The AI in Healthcare programme from Imperial 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 ÌìÃÀ´«Ã½, 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.
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
Course details
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.​
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.
Upon successful completion of this programme, you will receive a verified digital certificate of completion via email.
Note: You will earn the Associate Alumni status upon successful completion of the programme. Visit the Associate Alumni page to find out more.
Take your partnership with Imperial to the next level by becoming an Associate Alumnus. Complete one (1) of our on-campus, online, and virtual programmes to claim 'Associate Alumnus' status and join our active alumni community.
Some of the benefits of becoming an Associate Alumnus include:
- Access to the Imperial Alumni LinkedIn group
- Invites to relevant events and webinars
- 25% Discount on future learning for yourself and up to three your colleagues
If you are interested in finding out more, contact us today!
Course instructors
Programme Director, Chair in Medical Informatics and Decision-Making
Brendan Delaney works in the Department of Surgery and Cancer, Faculty of Medicine at ÌìÃÀ´«Ã½, based within the I-X Institute and the Institute of Global Health Innovation. With a pioneering career in clinical informatics for 22 years, he has led significant international programmes, including NIH’s ePrimary Care Network and the €9M TRANSFoRm initiative, to advance LHSs. His current research focuses on explainable AI in primary care, integrating machine learning with Electronic Health Record (EHR)-based clinical decision support. With over 350 publications to his credit, Professor Delaney also advises UK research councils and champions innovation, aiming to balance safety and collaboration across disciplines.