Building Trustworthy GenAI for Healthcare Innovation
Building Trustworthy GenAI for Healthcare Innovation
Monash Velos Accelerator and Monash AI Institute present: GenAI Masterclass in Healthcare Innovation
This rigorous, one-day masterclass explores how Generative AI is being evaluated, deployed, and governed in real-world hospital environments—bridging the gap between research, clinical practice, and digital health innovation. Led by leading experts from Changi General Hospital, Singapore, the session offers a rare, insider perspective on how healthcare institutions are designing, testing, and scaling GenAI systems responsibly. Participants will gain actionable insights, practical frameworks, and hands-on exposure to the strategies that make AI adoption in healthcare both safe and impactful.
Designed for Healthcare IT professionals, clinicians, digital health innovators, health data scientists, and academics, this masterclass empowers attendees to apply GenAI technologies responsibly while anticipating the next wave of digital transformation in healthcare.
Be part of the dialogue shaping trustworthy, human-centred AI in healthcare. Lunch and refreshments will be served, followed by networking opportunities
What You’ll Learn
- GenAI in Healthcare: Opportunities & Realities
Understand the current value and limitations of GenAI across hospitals and research ecosystems. - From Prototype to Practice
Gain insider insights on scaling GenAI pilots and navigating hospital adoption frameworks. - Governance & Trust
Explore global AI compliance frameworks (WHO, EU AI Act, Singapore MOH) and learn practical risk management for AI-driven healthcare systems. - Hands-On Innovation
Experience live demonstrations of prompt engineering and no-code GenAI tools for real-world healthcare use cases. - Future Horizons
Discover how multimodal and agentic AI are redefining the frontiers of digital health innovation.
Speakers
Srinath Sridharan
Lead Principal Analyst, Data Science & Intelligence, Changi General Hospital
Adjunct Fellow, SUTD
Program Faculty, IPSQ (SingHealth Duke-NUS)
Srinath works at the intersection of AI and healthcare, focusing on solving real-world problems that matter. At Changi General Hospital, he leads data science, AI/ML, and robotic process automation (RPA) initiatives — from predictive analytics and AI-assisted radiology to generative AI tools for clinical documentation, patient engagement, and research support. He has also driven hospital-wide RPA programs that streamline workflows and free up staff for higher-value care. Beyond his work at CGH, Srinath teaches in the AIQUIPS program at SingHealth’s Institute of Patient Safety and Quality (IPSQ) and at the Singapore University of Technology and Design (SUTD), where he covers modules in statistics, predictive modeling, natural language processing, and generative AI. He is passionate about building trustworthy and responsible AI systems that translate innovation into impact, improve patient outcomes, and accelerate healthcare transformation.
Narayan Venkataraman
Deputy Director, Data Science & Intelligence, Changi General Hospital
Adjunct Senior Fellow, SUTD
Co-Convener & Program Faculty, IPSQ (SingHealth Duke-NUS)
Narayan is an accomplished healthcare leader with more than 25 years of diverse experience across data science, AI, health informatics, medical technology, risk and operational analytics. Graduating from BITS Pilani (India) as a mathematician and biomedical engineer, his focus has been on leveraging novel technologies for improving clinical quality and patient safety
On the academic front, he is the Lead Faculty for the Modular Masters program in Healthcare Data Science & AI at SUTD and the Program Co-Convenor for the SingHealth Duke-NUS AIQUIPS initiative. He serves as a JAMIA Asia Pacific Journal Reviewer and a Senior Member of IEEE/EMBS. His leadership and contribution during the pandemic has been nationally recognized with the Singapore National Commendation Medal (2022) for COVID-19 Care Team. His current academic interests are on Robotic Process Automation, AI/Machine Learning, and systems integration for digital health.
A recognized voice on the global stage, Narayan has been an invited speaker at conferences like Digital Health Asia, HIMSS Asia-Pacific, APAC Infectious Disease, NephroAsia, HealthTech and Hospital Management Asia. He was instrumental in establishing the SARS Contingency Dialysis Center at TTSH (2005) and the MOH-MFA Renal Programs at Samoa & Fiji (2007–2011). He also dedicates time for charity as an Honorary Biomedical consultant for Smiles Asia, volunteering for surgical missions across Asia Pacific for cleft-lip and pallette procedures for children.