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👋 We’re Cline, the first clinical harness where doctors can build, train, and deploy their own AI doctors, in production, for real patient care

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https://t.co/MlDt6185iA

[Mario Amaro (The Private Practice + Vibe Code Doc) @MarioATX_MD]

The doctors AI doctor to patient is the future of healthcare

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@chrissyfarr @Samdtoole We agree, the next EHR is a software factory.
https://t.co/F14wkbRVRJ

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https://t.co/gfW8OenoI3

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Webside manner (the COVID-era pivot from bedside care) was always a bridge, not a destination, and what it was bridging to is arriving now.

TLDR on our article below:

- The staff-augmentation market (OpenLoop, Wheel, SteadyMD, CareValidate) was built on friendly PCs and group NPIs: clinicians rent in, don't own the relationship, and can be repriced or cut off anytime.

- That model already fueled a pill-mill problem, prison sentences, and ongoing DOJ/FTC enforcement. The bill is coming due.

- Unit economics settles the AI doctor question: a human physician runs $250k-$400k a year for 20-30 patients a day. That's the same math that just drove Stripe's $7B+ acquisition of OpenRoute for routing intelligence: don't spend your most expensive resource on repetitive work and tasks.

- Virtual care won't shrink, but the market question changes completely: not "who can source the most doctors" but "who owns the AI doctor, and who's accountable when it's wrong."

- The real shift for doctors: they stop being the rented asset and become the business that rents. Own the AI doctor, own the NPI (we've proposed NPI-3), own the liability, on your terms instead of someone else's.

- Liability isn't the problem. Liability without control is, whether that's a rented staffing arrangement or a consumer AI product that only calls a doctor back in when something breaks.

- Two paths open up: run your own AI doctor to extend a local practice, or keep your day job and rent yours out as a 1099 side business.

This is exactly the model Cline is built for.

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https://t.co/UROh8oZD9a

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https://t.co/UROh8oZD9a

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TLDR: This isn't a technology problem. It's a labor crisis that's been building for 30 years.

- The 90s residency caps and IMG restrictions choked physician supply at the root. Managed care and credentialing rules then cut private practice off from hospital access, and hospitalists took that revenue for good.
- M&A, EHR mandates, and private equity finished it off. Physician ownership of practices went from ~76% to ~35%.
- APPs were pitched as the fix. NP panels run a fraction of a physician's, supervision still costs $10K-$30K a year in most states, and the NP pipeline pulls straight from an already short-staffed RN pool. We didn't solve the shortage, we just relocated it.
- None of that is a knock on APPs. It's that virtual care was never the right place to spend that labor. A human has fixed hours no matter how you deploy them.
- This is where AI doctors fit: virtual care, physician-supervised, AI operated, available around the clock, scaling with demand instead of headcount.
- Text your AI doctor first. If you need a human clinician, it routes you to them directly with full context already in hand.

That's the continuity we lost 20 years ago that we finally get back with AI.

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https://t.co/uKTDmt329G

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https://t.co/uKTDmt329G

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https://t.co/gfW8OenoI3

[Mario Amaro (The Private Practice + Vibe Code Doc) @MarioATX_MD]

So many physicians are default yes to this. Have yet to meet a doctor who was against AI assuming this type of clinical work.

Why so many are lining up to build their own AI doctor workforce at @withcline

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AI doctors will follow history and just make doctors better doctors.

AI doctors for doctors is good for patients, good for medicine, and good for the 🌎

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New JAMA paper by Vinod Khosla and Zeke Emanuel, M.D., PhD (architect of ACA) made a bold claim: AI-only care beats doctors, and doctors in the loop make it worse.

Our response, in short: Convenient claim from people whose business model requires doctors to be optional.

TLDR of the article:
- AI getting smarter isn't the issue. Removing the only accountable person from patient care is.
- Licensure isn't the obstacle they say it is. It's the thing making sure someone answers for a bad outcome.
- The real fight was never doctor vs. AI. It's who controls the intelligence, and who's on the hook when it's wrong.
- They want to play doctor so they can bill. We want to give every doctor an AI doctor. It's time to choose your future

Full article ⤵️

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https://t.co/XxEMfXGWxB

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https://t.co/XxEMfXGWxB

[Mario Amaro (The Private Practice + Vibe Code Doc) @MarioATX_MD]

Be contrarian or something 🤷🏽‍♂️

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Virtual care went from being the patients first touch, to being the entire care delivery experience supported by staff augmentation services like Wheel and OpenLoop.

When we take a step back and evaluate where virtual care is today, we see that it’s already been commoditized via rotating rented clinical staff, whose only connection to the patient is the intake one pager that pops up on their EHR queue system.

To say it another way, the human touch has already been lost. So replacing the entire virtual care system with AI doctors doesn’t make it less human, it makes it more direct.

Because of consolidation, healthcare has been plagued by a disconnect and delay between when a patient feels something is wrong and requires services, to when they can see a doctor.

We can change this by giving the over 1M U.S. doctors access to their own AI doctors, where patients can instantly begin visits via their doctors AI doctor. Who is able to listen, triage, and gather clinical context almost immediately, eliminating the disconnect and allowing doctors to safely deliver real clinical care 24/7 without being overburdened by the realities of clinical management.

The future of healthcare is AI doctors, and putting this technology in the hands of doctors it's the best solution for patients.

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The future of the EHR has NOTHING to do with building a better EHR or whether or not legacy vendors like Epic are able to bolt on AI to their existing systems. Instead, the future of the EHR is all dependent on who or what is willing to continue to do the work.

Legacy EHRs (yes, even the API-first ones) require HUMANS to do the work. So even if you bolt on AI to these systems, humans are doing LESS work but they're still the ones DOING the work.

The reality is we can remove every single aspect of administrative burden (the stuff that legacy EHRs manufactured through consolidation) and it will no doubt help shave off some time, but it will do absolutely NOTHING to help reduce the labor demand.

This is why AI's number one focus in healthcare right now should be all about solving the clinical labor crisis with AI that can actually clinically work side by side with practicing doctors and clinicians helping us answer:

- What is it?
- How we build it?
- Who builds it?
- Where does it practice?
- Who manages it?
- Who is responsible for it?
- How do we scale it safely?

That's how we see the real impact for both the doctor and the patient.

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Doctors don't want to vibe-code their own apps:
- Wrong, they've been doing it for two years now. Some may think this is futuristic, where we're confused why it isn't already the default.

Doctors don't want to vibe-code their own EHRs:
- Wrong again, they're already doing it. But similar to our viewpoint on apps, using AI code development to build any software or agent is table stakes, and we're glad healthcare is finally having it's notion moment.

Now if you want to get into the truly interesting stuff where boundaries start to be pushed, it's helping doctors build, deploy, and maintain their own clinical staff that's mirrored from their own digital twin.

That's what gets us out of bed in the mornings.

A future where a doctor can clone themselves digitally helping them service and manage patients 24/7 at a scale never imagined.

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You can learn more about Cline’s AI-native virtual care infrastructure in our latest article. https://t.co/i49TPWxqCn

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https://t.co/Xcup5RNjic

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It was the ZIRP era that funded the initial telemedicine wave which was filled by legacy staff augmentation companies like Wheel, OpenLoop, and SteadyMD.

There's a new technology driving the 2nd wave, and it's AI-native by default, supported by an entirely new digital clinical workforce (such as AI doctors), built, deployed, and managed through a Clinical Harness.

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https://t.co/Xcup5RNjic

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We get asked all the time, will doctors actually build their own custom EHR? Do they even want to?

Our response: they already are, have fun trying to stop them. https://t.co/eNVLo2VQUz

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