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How artificial intelligence scales physician extension

Tod Stillson, MD
Tech
April 19, 2026
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For more than 25 years, I built physician extension systems. In rural family medicine, if you want your clinical judgment to reach more patients than your two hands can touch in a single day, you build systems. You hire nurses who triage, educate, and even scribe. You bring on a medical assistant who keeps the workflow moving. You eventually collaborate with a nurse practitioner (NP) or physician assistant (PA) who handles the straightforward visits under your governance while you concentrate on the complexity. You write protocols and standing orders. You standardize what can be standardized so that your reasoning radiates outward.

That is physician extension. It is as old as modern medicine. For a long time, it worked. I am no longer sure it can carry us much further.

What we built and why it is no longer enough

The traditional extension model rested on a reliable assumption: there would always be enough trained health workers willing to work in communities like mine. That assumption is not holding. Physician shortages are documented and worsening. Primary care is in a slow collapse as fewer graduates choose it and retirees go unreplaced. The nursing shortage has stopped being a headline because it has become structural background noise. Rural hospitals are not just struggling to recruit specialists; they are struggling to stay open. Urgent care centers list wait times past two hours for conditions that resolve in 10 minutes with the right treatment. Emergency departments are packed with progressively complex systems to try to uncongest them.

The midlevel workforce, often positioned as the scalable answer, faces its own ceiling. NPs and PAs are increasingly concentrated in urban and suburban markets. Adding one, in most states, still requires physician oversight, credentialing, supervision infrastructure, and a compliance framework that adds real overhead to every hire. Even if the pipeline held, we would still be running a model that scales by adding people. And people are expensive, geographically constrained, finite in their daily capacity, and increasingly unwilling to locate their lives in the communities that need them most.

We cannot solve a distributed access crisis with a labor strategy that requires people to choose to be distributed.

A different kind of extension

I spent nearly three decades of my career making human extension systems work as well as they possibly could. Then I started watching something emerge that changed how I understood the problem. Properly governed, physician-led artificial intelligence does something human extension cannot do cleanly: it scales physician reasoning without scaling headcount. It embeds clinical logic into a digital infrastructure that evaluates defined conditions, applies evidence-based protocols consistently, flags cases that exceed its scope, and routes patients appropriately. No additional hire. No geography problem. No supervision overhead.

That is not a replacement for human care. It is a different category of extension entirely. Instead of distributing my knowledge through trained people, it distributes my knowledge through a governed digital system designed around my clinical judgment. The physician-governed asynchronous telemedicine platform I have spent the past several years building, which manages 39 defined acute infection categories, is my attempt to translate 30 years of extension thinking into this new medium. I mention it not as a commercial offering but as a proof of concept for a design principle: physician clinical reasoning can be embedded into governed digital infrastructure and deployed at scale, safely and consistently, without a new hire at every new access point. This innovative platform exists because I first spent 25 years learning what any extension system must preserve in order to be trustworthy.

What the architecture must preserve

Human extension systems work because the people involved are trained, accountable, supervised, and operating within a framework of professional ethics and legal responsibility. A protocol is only trustworthy because a physician designed it and a licensed clinician executes it within a defined scope. Digital physician extension requires the same architecture translated into a different medium. Condition-specific logic must be as rigorous as a standing order.

  • Inclusion and exclusion criteria must be explicit.
  • Red flag triggers must be embedded and non-negotiable.
  • Escalation pathways must function reliably.
  • Physician governance must sit at the structural center, not added as a compliance afterthought.

When those elements are present, a digital extension system is not less safe than a human one. In measurable ways, it may be safer. It does not get tired. It does not skip a protocol step when the waiting room is full. It applies the same standard to the fifth patient at midnight that it applied to the first patient at 8 a.m.

What it cannot do is what human caregivers do in the spaces between decisions. It cannot build a relationship across years. It cannot interpret ambiguous suffering. It cannot sit with someone who is afraid and help them feel less alone. Those functions remain irreplaceably human, and any honest discussion of digital extension must say that clearly. The model only works when it is honest about its scope.

The argument that matters

The health care system cannot scale with humans alone. That is not pessimism. It is a design reality that a workforce crisis, a rural access emergency, and a decade of unsustainable physician burnout have made undeniable. The system needs more capacity than the labor pipeline can supply. That capacity must come from somewhere, and the only place it can come from without abandoning accountability is a governed digital infrastructure built by people who understand medicine from the inside.

Physicians are the ones who know what that infrastructure must preserve. We know where the risks concentrate. We know what questions must be asked and what answers must trigger immediate escalation. We know, from decades at the bedside, exactly where a poorly designed system will fail. No technology firm, however well-funded, has that knowledge. No payer has it. No venture fund has it.

If physicians do not lead this transition, it will proceed without us. The access crisis is too acute and the economic pressure too relentless for the status quo to hold. The question is not whether digital physician extension will become a meaningful component of care delivery. The question is whether the systems that emerge will be governed by physician judgment or optimized around someone else’s priorities. I spent most of my career learning how to extend my care through protocols, trained teams, and disciplined delegation. That work taught me everything I needed to build what comes next.

The patients who cannot access care today are not waiting for us to finish the theoretical debate. The new system is being built right now. The only question is whether it gets built by physicians who know where the gaps are, or by people who have only read about them.

Tod Stillson is a board-certified family physician, medical device inventor, and health care entrepreneur focused on redesigning how care is delivered in the digital age. He is the founder and CEO of ChatRx, a national asynchronous telemedicine company providing safe, efficient, direct-to-consumer care for common acute conditions. Through ChatRx, Dr. Stillson developed an FDA-listed software medical device that combines structured clinical pathways with AI-supported decision tools to preserve physician judgment while reducing friction for patients.

Dr. Stillson holds an academic affiliation with the Indiana University School of Medicine and a hospital affiliation with McPherson Center for Health. After nearly three decades practicing rural family medicine, he shifted from traditional employment to building physician-led digital systems that expand access, efficiency, and professional autonomy.

He is the author of Doctor Incorporated: Stop the Insanity of Traditional Employment and Preserve Your Professional Autonomy and has published more than 400 essays on physician entrepreneurship, micro-business, digital health, and the future of medical practice. He contributes nationally to conversations on AI-enabled care delivery and physician leadership in digital transformation.

Dr. Stillson shares ongoing insights on LinkedIn, Facebook, Instagram, and YouTube.

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