By Lawrence Rosenberg, MD, CM, MSc, PhD, MEng, FRCPSC, FACS, FCAHS
President & CEO, Integrated Health & Social Services University Network for West-Central Montreal
0
Share
Newsweek is a Trust Project member
See more of our trusted coverage when you search.Prefer Newsweek on Googleto see more of our trusted coverage when you search.
Emergency rooms are overflowing. Clinicians are burning out. Patients wait months for care. Governments announce reform after reform, yet outcomes barely budge. This pattern is not unique to any one country; it spans public and private systems alike. Trillions of dollars are spent globally every year, and still health care feels perpetually on the brink. The usual explanations point to funding, staffing or technology. But those are surface symptoms. The real problem is deeper—and conceptual.
We are trying to fix health care as if it were complicated. In reality, health care is complex. That single misunderstanding explains decades of failed reform.
A complicated system has many moving parts, but its behavior is ultimately predictable. Think of an airplane or a factory assembly line. These systems can be optimized from the top down: if something breaks, you replace a component; if performance lags, you redesign the workflow. Engineers thrive in this world. Complex systems behave very differently. They adapt and evolve, cause and effect are nonlinear and outcomes emerge from interactions rather than instructions. Ecosystems, economies and societies fall into this category. So does health care. Yet most policy continues to apply industrial logic to what is fundamentally a living system.
Read More on Community Forum
Health care is a textbook example of a complex adaptive system. It consists of millions of autonomous agents—patients, clinicians, families, administrators, institutions—each responding continuously to local conditions, incentives and constraints. Decisions made at the bedside ripple outward, while policy changes at the center trigger unintended consequences at the edges. Behavior shifts in real time as people adapt to what they see and experience. In such systems, outcomes cannot be commanded into existence. They emerge from the web of relationships itself.
...
This is why centralized reforms so often disappoint. Leaders attempt to impose order through standardization, consolidation and control. On paper, this looks efficient. In practice, it strips away adaptability—the very property complex systems depend on to survive. Instead of strengthening health care, excessive centralization quietly makes it more fragile.
Complex systems naturally drift toward what scientists call critical states—tipping points where small disturbances can trigger disproportionately large effects. In health care, this dynamic is visible everywhere: a modest surge in respiratory infections collapses emergency departments; a staffing gap in one unit cascades across an entire hospital; a supply disruption echoes nationwide. These are not isolated failures. They are systemic features. By concentrating authority, flattening variation and enforcing uniformity, we push health care ever closer to these critical thresholds. The system may appear orderly, even elegant, until suddenly it isn’t. We didn’t create stability; we engineered brittleness.
Healthy complex systems organize differently. One of their defining characteristics is fractal structure: patterns that repeat across scales. In nature, the same branching logic governs trees, lungs and river networks. Each level operates autonomously while remaining aligned with the whole. Applied to health care, this means the principles guiding care at the bedside should mirror those guiding hospitals, regions and national systems. Purpose is shared, information flows freely, authority is distributed and decisions are made as close to patients as possible.
Today’s health care architecture looks nothing like this. It resembles pyramids stacked on silos—rigid hierarchies separated by organizational boundaries. Power concentrates upward, feedback travels slowly and local insight is overridden by centralized rules. The consequences are predictable: innovation stalls, frontline professionals disengage and patients become passive recipients rather than active participants. Fractal systems, by contrast, thrive on local intelligence. They standardize principles rather than behavior, allow variation within coherence and trust people closest to the work to adapt in real time.
...
This structural difference matters because it determines how systems respond to stress. Fragile systems break under pressure. Resilient systems absorb shocks and return to baseline. But complex adaptive systems can do something more powerful: They can improve because of stress. This property is known as antifragility.
Antifragile systems learn continuously. They treat variation as signal rather than noise, contain small failures locally and convert them into insight. Experimentation is encouraged, feedback loops are tight and over time the system evolves toward better performance. Health care today rarely behaves this way. Instead, failure is punished, variation suppressed and learning slowed by layers of approval and bureaucracy. The system becomes risk-averse precisely when it most needs exploration. The goal should not be stability. The goal should be evolutionary capacity.
A few systems have begun moving in this direction. Intermountain Health in Utah, for example, has spent decades embedding rapid-cycle learning into its clinical operations, treating variation in outcomes not as noise to be suppressed but as data to be understood. The result has been measurable improvements in both quality and cost over time. These are early signals, not solved problems. But they illustrate that the principles of complex adaptive systems are not merely theoretical. They can be operationalized.
This reframing has profound implications. It suggests that health care’s persistent struggles are not primarily about money, manpower or machines. They are about system design. We built health care to behave like a factory, then wondered why it doesn’t act like one. People are not failing health care. Health care is failing people because it was engineered for the wrong kind of system.
...
Once we understand health care as a complex adaptive system, the path forward begins to clarify. We must move away from rigid hierarchies toward networks, from centralized control toward distributed intelligence, from uniform processes toward shared outcomes and from suppressing variation toward accelerating learning. But recognizing complexity is only the beginning. How we organize care, align incentives and restore agency to both patients and clinicians will ultimately determine whether health care merely survives—or truly evolves.
This is the first in a series examining how complexity science, organizational design, value-based care and human agency together point toward a fundamentally different future for health care.
View 0 Comments
Submit Correction
View Editorial & AI Guidelines