NUS Health.AI Leadership Executive (HALE) Masterclass 2025

Programme Highlights

The HALE Masterclass 2025, under the visionary guidance of Professor Ngiam Kee Yuan, Department of Surgery, NUS Yong Loo Lin School of Medicine, and Head of Academic Informatics at the National University Health System (NUHS), offers an extraordinary learning experience. This masterclass bridges the latest advancements in AI and health innovation with essential strategic leadership. Designed for an executive audience spanning healthcare, MedTech, policy, and beyond, HALE’s unique approach equips professionals to drive transformative impact within their organisations and across the health ecosystem.

At HALE, participants will explore the strategic applications of AI in healthcare and related sectors through meticulously crafted modules focusing on leadership, ethical considerations, and real-world implementation. Professor Ngiam’s unparalleled expertise in utilizing AI for clinical advancement, predictive health, and operational efficiency provides invaluable insights into how AI reshapes patient care, enhances decision-making, and fosters sustainable outcomes.

Beyond technical knowledge, HALE uniquely emphasizes the ethical dimensions and leadership skills necessary for AI integration in complex healthcare environments. Each module empowers executives to lead with clarity and responsibility, preparing them to navigate regulatory landscapes, champion patient-centric solutions, and advance strategic goals. With HALE, professionals gain a forward-looking perspective—making this masterclass a rare opportunity to learn from one of the foremost innovators in healthcare and AI, and to transform their expertise into impactful leadership.

Hear how HALE has inspired, empowered, and transformed executives in healthcare and beyond.

Benefits of Attending

• Enhance Strategic AI Leadership: Equip yourself with the knowledge to lead AI-driven initiatives that improve patient outcomes and operational efficiency.
• Broaden Industry Applications: Understand AI’s role across the entire health ecosystem, from patient care to preventive health, making this programme essential for leaders beyond just healthcare.
• Exclusive Networking: Connect with leaders from diverse sectors, fostering collaborative solutions and expanding your professional network.

By joining HALE, participants will gain not only the technical insights to drive AI transformation but also the strategic acumen needed to elevate their organisations in an increasingly digital health landscape.

Who Should Attend?

The NUS HALE Masterclass is designed for senior executives and decision-makers across healthcare and AI-driven industries, including:

• C-suite Executives and Senior Leaders in healthcare, MedTech, Pharma, and industries influenced by AI innovations in health, including CEOs, COOs, R&D heads, and product leaders looking to drive AI-driven transformation.  
• AI Enthusiasts and Policymakers interested in understanding the strategic, regulatory, and ethical implications of AI in healthcare, including public health officials and policymakers. 
• Senior Managers and Department Heads  looking to implement AI-led initiatives to improve patient outcomes and operational efficiency, including network managers, CTOs, CIOs, and risk stratification experts.
• Investors & Venture Capitalists keen to identify AI-driven opportunities in healthcare innovation.
• Professionals from Various Sectors who want to gain AI-related insights that support broader AI adoption in healthcare.  

Course Agenda

Digital Transformation and AI in Health Services: Gain a comprehensive view of AI’s transformative role in health services, focusing on applications that enhance patient engagement, streamline diagnostics and improve operational efficiency. This module is essential for leaders ready to lead digital health transformations and put patient-centric strategies into action.

Data Analytics for Senior Executives: A non-technical guide to data analytics designed for healthcare executives. Discover real-world examples in risk assessment, population health management and chronic disease prevention strategies. Learn how to leverage data insights for more informed decision-making at the executive level.

Generative AI in Real-World Applications: Dive into practical applications of generative AI in healthcare and biotech. This module covers examples like clinical decision support, personalised patient care and health system management, equipping leaders to adapt AI tools for enhanced healthcare outcomes.

Leading AI-Driven Health Services: Strategy, Ethics & Investment: This session provides an in-depth exploration of entrepreneurial strategies and leadership skills critical for successfully integrating AI solutions in healthcare. It delves into the journey from scientific discovery to market-ready innovations, highlighting the power of interdisciplinary collaboration and the commercialization of AI-driven healthcare technologies.

HealthTech Entrepreneurship and Leadership: This session provides a deep dive into entrepreneurial strategies and leadership skills crucial for successfully integrating AI in healthcare. It explores the path from scientific discovery to commercialization, highlighting the power of interdisciplinary collaboration in transforming AI innovations into market-ready solutions.

Executive Dialogue with Panelist: Led by Prof Ngiam, this interactive session covers key topics in preventive healthcare and AI, including:

• Real-world AI applications in preventive healthcare and their impact on outcomes.
• Leadership strategies for driving AI adoption and managing organisational change.
• Ethical and regulatory considerations, including data privacy and compliance.
• Cross-sector collaboration to harness AI’s potential in preventive health.

Course Fee

SGD $4,500 (subject to prevailing GST )

• 10% Discount for early bird registration, ends on  1 May 2025
• 15% Discount exclusively for members and staff of  NUS, NUHS, SingHealth and NHG 
• Group discount of 20% for group enrolment of at least 3 participants

*Please note that each participant is only eligible for a single discount. Registration closes on  30 June 2025

**The commencement of the Masterclass is contingent upon meeting the minimum class size, and all fees are subject to the prevailing GST.