NUS Medicine AI For Healthcare Programme Review: What You Need to Know
In 2023, Singapore’s healthcare AI market generated $78.1 million in revenue. By 2030, this figure is expected to reach $881.3 million (1). However, such statistics don’t reveal the whole story. They don’t capture the real stories of how healthcare professionals in this sector might be affected by the rapid infusion of technology in the industry of the doctor who wants to understand the tech shaping his daily work of a rural affairs manager navigating artificial intelligence from outside the IT world. The consultant in a hospital who is curious about AI in drug discovery. Or a senior executive searching for answers she could actually use. This NUS Medicine AI for Healthcare Programme review brings together the stories behind the numbers, of the four learners who walked in with questions and walked out with a deeper sense of direction, purpose and insight into the healthcare system.
Justin Ooi: Bridging the Gap Between Medicine and AI
Justin Ooi is a practicing doctor with MOH Holdings. Being part of one of Singapore’s leading public healthcare providers, he saw AI becoming increasingly central to patient care, medical records and hospital operations. Yet, his medical training did not equip him to keep pace with this change. That is where the NUS Medicine AI in Healthcare programme helped.
“There are many new things that I have learnt through this programme,” Ooi shares. “And I am definitely more comfortable with understanding the layers behind how AI works.” The learning didn’t stop at algorithms or data. It expanded into the people and processes that make healthcare systems function.
“It also allowed me to better appreciate our electronic health system,” he adds. “The people that support it behind the scenes, and what the future potentially holds given that AI is the tool of our time.”
Ooi’s NUS Medicine AI for Healthcare programme review speaks to that transformation. For him, the programme bridged a critical gap. It transformed AI from a vague concept into something tangible, human and essential to modern public healthcare. Furthermore, understanding how AI works in healthcare deepened his appreciation for the systems behind clinical care. It also sharpened his ability to practise medicine with greater context, foresight and responsibility.
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Lilian Lee: Bringing AI Into Healthcare Regulatory Strategy
Lilian Lee is a regulatory affairs manager at Kyowa Kirin APAC, a Japan-based global speciality pharmaceutical company. Her work focuses on healthcare policy, drug compliance and navigating regulatory landscapes across the region. She doesn’t come from a tech background and for a long time, AI felt like something outside her domain. However, as digital tools began influencing every aspect of healthcare, she knew she needed to understand the fundamentals to stay relevant.
“This programme is a good introduction to AI for those who are not in IT or a related field,” she says. For Lee, the programme struck the right balance. It didn’t expect her to be a coder. Instead, it walked her through the logic behind AI, explained use cases in healthcare and allowed her to learn at her own pace. As a result, she began rethinking the role of AI not just in technology, but in regulatory strategy as well.
“With this programme,” she explains, “one can decide if they want to pursue and continue their studies in AI and related IT fields. I certainly gained more insights about AI and how it can be implemented in the healthcare industry through the NUS Medicine Business School’s AI in Healthcare Programme.”
Lee’s NUS Medicine AI for Healthcare programme review reflects that shift in her perspective from seeing AI as something abstract to recognising its real, strategic value in her field.
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Andrew Fong: Breaking New Ground With AI Innovations
Andrew Fong is a consultant in general surgery at Raffles Hospital, a leading tertiary care institution in Singapore. With a strong background in minimally invasive and robotic surgery, Fong is no stranger to clinical precision and technological advancement. Yet, when he encountered artificial intelligence, he recognised a knowledge gap, especially in areas beyond the operating theatre.
“Personally, learning about how AI is being deployed in drug discovery was eye-opening,” he elaborates. “I had never known how this was being done before the programme.”
Fong had always focused on patient care as a surgeon. The processes behind drug development, though, were distant. But the programme brought that world closer, thanks to the insights from the NUS Medicine faculty.
“The faculty from NUS Medicine gave me good insight into this area,” he says.
Fong’s NUS Medicine AI for Healthcare programme review highlights a powerful shift from clinical expertise to broader system awareness. Moreover, it reminded him that staying current doesn’t just mean keeping up with surgical techniques. Rather, it also means understanding the innovations driving healthcare forward, so he can continue to lead, question and make informed decisions that extend beyond the operating room.
Siew Yin Pang: Learning AI That’s Built for the Real World
Siew Yin Pang works as a senior executive at the Institute of Mental Health. She deals with healthcare at the systems level: processes, policy and operational strategy. So, when she joined the programme, she wasn’t looking for theory. She was looking for something she could actually apply.
Thus, instead of vague optimism about AI, she gained a clear roadmap and developed a better understanding of how to use tools to improve care delivery, resource allocation and system efficiency. Her NUS Medicine AI for Healthcare programme review, then, focuses on relevance. “The professors are knowledgeable and provided a lot of real-world use cases,” she shares. There weren’t abstract lectures or technical jargon. The professors presented grounded examples of how AI works in real hospitals, clinics, and health systems. She further adds, “There was insight into how technology and AI can be applied to healthcare.”
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From clinics to boardrooms, the programme offered more than just an introduction to digital transformation in healthcare. It gave all the four learners clarity, confidence and a sense of direction. With AI driving medical innovation in surprising directions, their NUS Medicine AI for Healthcare programme review highlights the importance of the programme in making sense of technology and its use in healthcare. It further allowed each to step out of their comfort zone to gain a better understanding of the future. If you too want to be at the driving seat of this innovation, NUS Medicine’ AI for Healthcare programme on Emeritus today!
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