Health care has a problem that we rarely talk about honestly enough. It is not simply a shortage of doctors. It is not simply rising costs, longer waiting lists, an aging population, or the growing burden of chronic disease.
The deeper problem is that we are trying to run 21st-century health care on an operating system designed for another era. Our populations are living longer. Patients are more informed, more demanding, and more connected than ever. Science is advancing at extraordinary speed. Artificial intelligence (AI) is transforming how information is produced and interpreted. Pharmaceutical companies can develop treatments for an expanding universe of conditions and symptoms. Social media can create communities, identities, and even new ways of understanding illness almost overnight. Yet the fundamental structure of health care remains remarkably familiar. We wait until people become sick.
We organize care around institutions rather than people. We separate physical health from mental health, prevention from treatment, and primary care from specialist care. We measure activity (appointments, procedures, prescriptions, hospital beds) rather than asking a more uncomfortable question: Are we actually making people healthier?
This mismatch cannot continue indefinitely.
The world has accelerated. Health care has not.
Look at what has happened outside health care. Research and development has accelerated dramatically. Computing power has exploded. AI can process enormous quantities of information in seconds. Biotechnology is opening doors that would have seemed impossible a generation ago. Meanwhile, health care systems are struggling with paperwork, fax machines, fragmented databases, incompatible systems, administrative overload, and patients navigating a maze of services that often requires them to become their own case managers. This is not a technology problem. It is a system-design problem. We have developed extraordinary tools but have not fundamentally redesigned the system around them. That distinction matters. AI will not save a health care system that is structurally incapable of using it. Giving a doctor an AI assistant while leaving the doctor trapped inside a dysfunctional administrative system is not transformation. It is putting a new engine into an old car without fixing the transmission.
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Meanwhile, there is another transformation happening at the same time. Patients are changing. People increasingly arrive at the doctor’s office having researched their symptoms and discussed them with professor AI, joined online communities, watched videos from experts and influencers, compared experiences with thousands of strangers, and formed their own theories about what is happening to them. Some of that information is excellent. Some of it is dangerous. But all of it is changing the relationship between the patient and the health care system.
Health care can no longer assume that the doctor is the only gateway to knowledge. The question is whether health care systems will adapt to this reality, or fight it.
We are medicalizing symptoms while struggling to treat the person
Modern medicine has achieved extraordinary things. We should never lose sight of that. But there is an uncomfortable paradox emerging. We have more medicines, more diagnostic tools, and more specialized treatments than ever before, yet many people experience health care as a series of disconnected interventions rather than a coherent journey toward health.
A symptom appears. A test is ordered. A prescription follows. Another symptom appears. Another specialist. Another prescription. Another appointment. And eventually someone asks why the patient is still not well. The answer is often that the health care system has become exceptionally good at treating parts of people while becoming less capable of understanding the whole person. An aging population makes this problem even more urgent. Older people do not necessarily have one disease that can be solved by one specialist. They may have multiple chronic conditions, medications, mobility challenges, loneliness, cognitive changes, and social needs, all interacting with one another.
Patients are becoming more complex, but health care systems are still built around treating one problem at a time. We cannot meet the health care needs of tomorrow with a system designed for yesterday.
The pandemic should have been our wake-up call
The COVID-19 pandemic demonstrated both the extraordinary capabilities and the profound weaknesses of modern health care. Scientists developed vaccines at unprecedented speed. Technology enabled remote consultations, digital monitoring, and new forms of collaboration. But the pandemic also exposed fragmentation, fragile supply chains, workforce exhaustion, inequities, poor information flows, and the enormous difficulty of coordinating health care at scale.
We should have treated that experience as a global stress test. Instead, there is a risk that we treat it as an unfortunate chapter that has now ended. But it has not. The next crisis may not be another virus. It could be antimicrobial resistance. Climate-related health emergencies. Extreme population aging. Workforce shortages. A mental health crisis. A cyberattack on critical infrastructure. Or simply the slow-moving crisis of health care systems becoming financially and operationally incapable of meeting demand.
We do not need another catastrophe to prove that the system is vulnerable. The warning signs are already here.
The biggest mistake would be to wait for collapse
Health care reform is often presented as an enormous political project requiring decades of negotiation. But it doesn’t have to be. Fundamental change can begin with a different philosophy. Instead of asking, “How do we treat more patients?” we should ask: How do we create fewer patients who need intensive treatment in the first place?
Instead of asking, “How many appointments did we deliver?” we should ask: How many people became healthier because of the system? Instead of designing services around hospitals, clinics, departments, and professional boundaries, we should design them around the patient’s entire journey.
And instead of viewing AI as another piece of software to purchase, we should ask what health care would look like if we were designing it from scratch today, with AI, continuous monitoring, advanced diagnostics, genomics, and real-time data already available. That health care system would look very different. It would be more preventive, more personalized, more continuous, more digital where digital is better, and more human where humans are better.
A patient might not have to wait six months for a problem to become serious enough to justify an appointment. Early warning systems could identify changes in health before a crisis occurs. AI could help clinicians manage information overload. Remote monitoring could allow more care to happen at home. Community services could intervene before people reach the emergency department. And if they do reach the emergency department, they should not have to wait six hours to see a doctor or undergo a CT scan when imaging is needed.
The hospital would still exist as well as the doctor and the nurse. But the system surrounding them would finally be designed for the century in which they actually work.
We need to stop confusing more medicine with better health
There is a temptation in health care to solve every problem by adding something. A new clinic, another specialist, a new drug, another digital platform, or another layer of administration. But sometimes progress means removing things. Removing unnecessary bureaucracy or removing fragmented care. Removing incentives that reward treatment more than prevention or removing the assumption that every health problem requires a medical solution. And perhaps most importantly, removing the idea that health care should begin when someone walks through the doors of a hospital because simply, health begins long before that. It begins in homes, workplaces, schools, communities, nutrition, housing, education, social connections, and everyday behavior. Health care cannot solve all of those problems, but a modern health care system must at least be capable of recognizing them.
The next decade will force the issue
Over the next ten years, the pressure will only increase. The number of people requiring care will continue to grow, not necessarily because of physical illness alone, but increasingly because of mental health challenges, often in combination with physical conditions. At the same time, the health care workforce will face growing demands and increasing pressure to meet these needs. Technology will move faster and patients will expect more. Medical knowledge will continue to expand beyond any individual’s ability to absorb it. And AI will increasingly change what is possible.
The question is not whether health care will change, because it certainly will. The question is whether we change deliberately, or are forced to change by crisis. There is a profound difference.
Crisis-driven reform is expensive, chaotic, and reactive. Transformation driven by foresight can be deliberate, humane, and designed around the needs of society. We should choose the latter.
This is not a call to abandon the health care system. It is a call to save it from its own inertia. The people working inside health care are not the problem. Doctors, nurses, researchers, pharmacists, therapists, and countless other professionals have repeatedly demonstrated what human beings can accomplish under extraordinary pressure. The problem is asking those people to compensate indefinitely for systems that were never designed for today’s reality.
We have entered an age in which scientific knowledge can move at extraordinary speed. Our health care institutions cannot afford to move at yesterday’s speed. The pandemic gave us the warning. Demographics are giving us another. Technology is giving us the tools. Now we need the courage to redesign the system. Because the greatest health care crisis of the next decade may not be a new disease. It may be our failure to change.
Paul Dranichnikov is a physician in Sweden.
