AI Integration in Healthcare Requires Human Leadership

The narrative of artificial intelligence (AI) in healthcare often presents technology overtaking human roles. Many believe that algorithms surpass radiologists in scans, chatbots excel over nurses in triaging, and hospitals soon will be mere data centers. However, my experience at the National University Hospital, Singapore (NUH), suggests a different perspective. Years of developing and implementing AI tools indicate the real question is not what the algorithm achieves, but rather, what new capabilities it provides to people.

Technology implementation is straightforward. More challenging and transformative is leadership: cultivating a workforce that collaborates with AI as a partner rather than relying on it as an oracle. Our goal at NUH is ambitious: educate ten percent of our staff in every job category in AI literacy and innovation skills. This includes all roles, from doctors to cleaners and pharmacists. Ten percent is significant because it triggers cultural change. Below this threshold, innovation feels exclusive. Above it, innovation becomes widespread.

Our focus is not on producing AI engineers but on developing staff capable of identifying solvable problems and confident in engaging with teams for solutions. Toward this ambition, we’ve established the Kent Ridge Office of Innovation (KROI), focusing on three pillars:

• ASCEND: Continuous learning and skill enhancement to keep pace with evolving technology.
• NEXUS: Collaboration and process optimization, addressing workflow failures in healthcare AI implementations.
• FORGE: Technological development, adoption, and integration to ensure practical applications at all hours.

So far, 41 percent of our staff have completed training in integrating AI with clinical and operational improvements. In addition, the launch of our Innovation Hub provides a space for staff to explore ideas, access new technologies, and collaborate. This facility fosters tangible innovation by allowing staff to test concepts, create prototypes, and form cross-departmental partnerships.

The analogy to mission command is vital. We embrace decentralized execution and clear intent, empowering frontline teams to identify and devise AI use cases within the daily hospital operations. This approach contrasts with centralized decision-making, broadening the scope for innovation across our 10,700 staff.

Additionally, our focus on AI does not replace healthcare professionals. Instead, it assists with routine tasks, such as documentation drafting, case note summarizing, and data reconciliation. This allows professionals to regain precious time to engage deeply with patients.

Crucially, successful AI adoption demands enhanced human leadership. Algorithms lack the capacity to determine priorities, evaluate values, or communicate with families on critical issues. Effective AI use concludes with human judgment, necessitating trained, trustworthy individuals to make decisions. We aim to develop leaders who understand AI’s possibilities and limitations, capable of challenging, validating, or discarding AI recommendations as necessary.

The right institutions for AI integration are not those with the largest AI budgets. They are places where staff feel like contributors to technology, not passive users. This leadership-oriented strategy is less glamorous and more complex but is the only approach I’ve seen succeed. If executed effectively, future hospitals won’t resemble cold data centers. Instead, they will embody environments where, aided by AI, healthcare professionals are empowered to fulfill their roles as trained experts.

Aymeric Lim is a member of the Newsweek CEO Circle, an invite-only executive community of subscribers.