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The U.S. Healthcare system is not short on doctors-it's short on effective ways to get them where they're needed. Solving this requires more than just funding new residencies.
The conversation around the U.S. Healthcare workforce often starts with a single word: shortage. Lawmakers want to fund more residency slots, medical schools are expanding enrollment, and policy papers project deficits, calling for sweeping reforms. While these efforts aim to address a critical issue, they might be focusing on the wrong problem.
As a practicing physician who has worked within this system for years, I believe that the real issue isn't a lack of doctors-it's a distribution problem. The physicians are there; the system just isn't getting them where they need to be. This distinction is crucial because it determines the solution we pursue.
If we treat it as a supply problem, we might fund more residencies. However, this approach takes a decade to produce results and does little for patients who need care today. On the other hand, if we recognize it as a distribution issue, we can focus on removing administrative barriers that prevent trained physicians from working where they are needed. This is a challenge we can address right now.
Consider the data on physician turnover. According to McKinsey's recent U.S. Physician survey, approximately 35% of doctors say they are likely to leave their current roles in the next five years, with about 60% of those expecting to exit clinical practice entirely. This is not a pipeline problem; these physicians are trained and credentialed. The system is making it too difficult for them to continue working.
The administrative process of connecting a physician to a new facility or opportunity is the actual constraint. When I look at where physicians report the most friction, credentialing consistently ranks near the top. A Deloitte survey found that 64% of physicians identified provider credentialing as one of the biggest opportunities for workflow improvement, alongside prior authorizations and communications with pharmacists.

Physicians are not complaining about the necessity of credentialing; they are pointing out that the process is broken and ripe for technology-enabled change. There are doctors picking up additional shifts, taking on telehealth gigs, and actively looking for more ways to contribute. This trend has been noted by Forbes and other outlets, which have started writing about the physician side gig as a growing phenomenon.
By reducing administrative burdens and redesigning workflows around human needs, we can create space for what matters most: meaningful connections between clinicians and patients. Imagine a healthcare system where doctors spend less time on paperwork and more time providing care. This is not just an ideal; it's a realistic goal with the right technological and policy interventions.
The current inefficiencies in our healthcare system have real, tangible consequences for both physicians and patients. Burnout among healthcare providers is at an all-time high, leading to higher turnover rates and decreased quality of care. Patients, meanwhile, face longer wait times and reduced access to the care they need.
Addressing the distribution problem can alleviate these issues by ensuring that qualified physicians are where they are needed most. This requires a multi-faceted approach, including streamlining credentialing processes, leveraging telehealth, and implementing technology solutions that enhance workflow efficiency.
In the end, solving the physician shortage is not just about training more doctors; it's about creating a system that values their expertise and allows them to do what they trained for-caring for patients. By focusing on distribution, we can make immediate improvements that benefit everyone involved in healthcare.
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Original Sources
Everyone's Betting on AI to Solve the Physician Shortage —They're Solving the Wrong Problem - MedCity News
↗ https://medcitynews.com/2026/05/everyones-betting-on-ai-to-solve-the-physician-shortage-theyre-solving-the-wrong-problem
About the author
Amara's entry point into AI was an epidemiology role at a London research hospital, where she spent five years studying how digital health tools reached — or conspicuously failed to reach — underserved communities. Watching early algorithmic systems in healthcare quietly entrench existing inequalities, she redirected her career toward the systemic consequences of AI at scale. She covers AI through an unflinching lens: who benefits, who bears the cost, and what evidence actually says versus what the press release claims. Her writing is calm and precise, but she doesn't mistake balance for neutrality.
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