When the Technology Is Ready but the System Isn’t

Having moderated the ICT&health World Conference in Maastricht (NL) which brought together more than 10,000 participants from across the global healthcare ecosystem one observation surfaced repeatedly across stages and side conversations alike.

Healthcare today does not primarily struggle with a lack of technology. The more persistent challenge lies in systemic readiness. While innovation continues to accelerate, from AI and data platforms to continuous sensing, leadership, governance and institutional alignment are not always evolving at the same pace.

What became increasingly clear over the course of the conference is that many of the remaining bottlenecks are no longer technical in nature. They are organizational, regulatory and, ultimately, leadership challenges.

Drawing on a series of reflections I initially shared on LinkedIn during the conference, here are five observations that healthcare leaders and boards should keep firmly in view.

1. Technological innovation is no longer the bottleneck

Daniel Kraft M.D. gave the opening keynote by mapping what he called the superconvergence of technologies: AI agents, genomics and continuous sensing.

His message was unambiguous. The constraint is no longer technological feasibility. It is leadership and governance capacity. Healthcare leaders, he argued, must move from being spectators of progress to becoming active catalysts of change. The organizations that will pull ahead are not those with access to more tools, but those able to align strategy, incentives and execution around them.

Implication: the competitive gap in healthcare is shifting from technology access to transformation capability.

2. It’s not scarcity but complexity that is the real challenge

Esther Talboom-Kamp grounded the conversation in operational reality. In a healthcare system, she noted, impact does not come from adding more digital tools but from removing friction. Her provocative recommendation to leaders: build a “fuck-it list.”

Concretely, identify what to stop doing. Dismantle legacy processes. Remove misaligned incentives. Reduce unnecessary complexity. This resonated strongly across the audience.

Implication: in mature healthcare environments, subtraction may be a more powerful lever than addition.

3. Innovation without ethics is structurally fragile

Larry Brilliant who helped lead the global smallpox eradication effort and later headed Google.org reminded the audience that technological capability alone has never been sufficient to drive lasting health impact. Smallpox, he said, was not eradicated by technology alone, but by coordinated global action.

Today’s equivalent challenge, he argued, is to shrink sickspan, i.e. the gap between how long we live and how long we live in good health. His point to the audience was clear: without ethical grounding and collective coordination, even the most advanced technologies will struggle to scale sustainably.

Implication: AI in healthcare will ultimately be constrained less by model performance than by trust, ethics and international cooperation.

4. Healthcare still operates with surprisingly thin data

Dr. Jack Kreindler offered a striking analogy. For decades, healthcare has relied on relatively sparse, episodic data like weight, height, a handful of blood markers, often only examined seriously later in life.

In aviation, he noted, this would be unthinkable. We would never wait decades before inspecting an engine. Today, continuous sensing and AI make much richer longitudinal health data technically and economically feasible. The opportunity is clear, but remains underexploited.

Implication: the next frontier is not data collection alone, but the systematic operationalization of continuous health intelligence.

5. Governance and trust are now the true scaling factors

Perhaps the most consistent message across the conference was this: digital health initiatives rarely fail because of technology. They fail because of governance. Mohammad Al-Ubaydli put it bluntly: build governance, not just software.

Liz Ashall-Payne, Founder and CEO of Orcha, reinforced the point with sobering data. Only a small fraction of AI health apps currently meet basic safety and effectiveness thresholds. Without medication-grade governance, continuous monitoring and viable reimbursement models, adoption will remain fragmented.

Implication: the bottleneck in digital health is shifting decisively toward institutional trust infrastructure.

Looking back on the three days I moderated, I’d say the one overarching lesson from ICT&health this year is this: The healthcare sector is not waiting for better technology. It is waiting for systems and leaders capable of absorbing it.

For boards and executive teams, the strategic question is therefore evolving. The focus should no longer be solely on which technologies to pilot, but on whether the organization’s governance, incentives and operating model are ready to support transformation at scale. In an AI-accelerated healthcare landscape, systemic readiness is becoming the real competitive differentiator.