NUS Health.AI Leadership Executive (HALE) Masterclass 2026

Programme Highlights

The HALE Masterclass 2026, led by Adjunct Professor Ngiam Kee Yuan from the Department of Surgery at NUS Yong Loo Lin School of Medicine and Head of Academic Informatics at the National University Health System (NUHS), offers a distinctive executive learning experience at the intersection of artificial intelligence and healthcare innovation.

Designed for senior professionals across healthcare, MedTech, policy and related sectors, the programme equips participants with the strategic insight and leadership capabilities to drive meaningful and transformative impact within their organisations and across the broader health ecosystem.

Through a series of carefully structured modules, participants will explore the strategic applications of AI in healthcare, including areas such as clinical advancement, predictive health and operational efficiency. With a strong focus on real-world implementation, governance and ethical considerations, the programme provides practical perspectives on how AI can enhance patient care and support data-driven decision-making.

Beyond technical understanding, HALE places strong emphasis on leadership in complex and evolving environments. Participants will gain the confidence to navigate regulatory landscapes, implement responsible AI solutions and lead patient-centric innovation initiatives with clarity and purpose.

HALE offers a forward-looking platform for executives to deepen their understanding of AI in healthcare and translate knowledge into impactful, responsible leadership.

Benefits of Attending

• Lead with Confidence in AI Transformation – Build the confidence to lead AI initiatives with clarity, guided by insights from leading AI strategists and healthcare innovators.
• Drive Strategic Outcomes – Develop actionable AI strategies tailored for decision-makers, covering generative AI, predictive health, diagnostics and operational efficiency.
• Stay Ahead of the Curve – Gain up-to-date knowledge on large language models (LLMs), automation and AI-driven risk assessment, with a focus on real-world digital health applications.
• Forge High- Impact Connections – Engage with AI pioneers, forward-thinking investors and a cross-sector network of decision-makers and policymakers.
• Reimagine Healthcare with AI – Discover how AI can transform healthcare delivery, enable smarter decision-making and drive measurable outcomes—positioning your organisation for innovation leadership.
• Learn Through Experience – Benefit from a curated learning journey that combines strategic insights with practical, real-world application.

By joining HALE, participants will gain not only the technical knowledge to drive AI transformation, but also the strategic acumen to lead with confidence in an increasingly digital health landscape.

*Clinicians and nurse practitioners may earn up to 12 CME/CPE points.

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.  

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

Course Agenda

(Click here to view the programme timetable)

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 Adjunct Professor 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 $5,400 (subject to prevailing GST )

• 10% Discount for early bird registration, ends on 15 May 2026
• 15% Discount exclusively for NUSMedCET Alumni, and members and staff of NUS, NUHS, SingHealth and NHG 
• 20% Group discount  for group enrolment of at least 3 participants

*Please note that each participant is only eligible for a single discount. Registration closes on 31 July 2026

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