Doctronic

On a mission to make US healthcare more accessible and efficient for Americans.

[Doctronic @doctronic]

Five months ago, Utah became the first state to authorize an AI system to process prescription renewals.

The state government built oversight around the program and committed to publishing what it found.

[Doctronic @doctronic]

Most AIs have no clinical training, HIPAA framework, or physician oversight.

Just a language model pattern-matching on information that was never validated for medical accuracy.

Doctronic was built specifically for health. Medically-focused AI, HIPAA-secure by design, with licensed physician oversight built into the system.

The trust gap isn't between patients and AI. It's between the AI people are using and the AI that was actually built for them.

https://t.co/gl5iXBS58V

#AIHealthcare #Doctronic #AIDoctor #MedicalAI #DigitalHealth

[Doctronic @doctronic]

1 in 3 adults now use AI for health questions.

The question isn't whether people will turn to technology, it’s whether the technology they're turning to was built for it.

[Matt Pavelle 🇺🇸 @mattpavelle]

I'm surprised more people in health tech don't know about the @CMSinnovates ACCESS Model. It's the second biggest story in the field this year.
With ACCESS a company that helps manage a Medicare patient's chronic condition gets paid for outcomes (roughly a few hundred dollars in the first year depending on the condition). Smartly, a good chunk of the payment is withheld until improvement is shown, so (for example) @Doctronic earns the held-back portion only if enough patients hit their targets: blood pressure to goal, A1c down, etc.
As a member of the launch cohort, we're really excited about this. Rewarding continuous, AI-led care only when patients actually get better is the right design.
https://t.co/eEY9nLRgoW https://t.co/onQZ7BTOaw

[Doctronic @doctronic]

The league built in extra rest between games and added travel buffers when the series shifts cities. Players and coaches have been vocal about how much flying across time zones wears the body down. It disrupts sleep, slows thinking, and increases the risk of injury.

These are the best-conditioned athletes in the world, and the league still felt it mattered enough to restructure its biggest event around it.

Most of us are running on less sleep, more stress, and fewer recovery days than we realize.

Our bodies keep score.

If you have been feeling more fatigued than usual or something just feels off, our AI doctor can help you figure out what is worth checking.

Free, private, and no appointment needed.

Bookmark https://t.co/e5QC9Mc7RB for when you need it.

Sources: https://t.co/hdeJXpr7DW | https://t.co/A7oCRTNtAM

#Doctronic #AIDoctor #NBAFinals #Sleep #Fatigue #Health

[Doctronic @doctronic]

Did you know the NBA Finals schedule was moved this year, in part because of player health?

[Doctronic @doctronic]

Glioblastoma is grade IV, the most aggressive brain tumor classification. It accounts for roughly 15% of all primary brain tumors. Median survival after diagnosis is 14 to 16 months with standard treatment.

The journey from diagnosis to the end of life is often measured in months, not years.

Most families learn what this disease is at the worst possible moment, when someone they love is already sitting in a neurologist's office. The window between diagnosis and critical decision-making is narrow.

Access to clear, accurate, plain-language information in those first weeks is not a luxury. It's crucial. This is the gap Doctronic exists to fill. 27 million consults.

No appointment. No wait.

Our condolences to those grieving this loss.

Source: https://t.co/vNdNRK6WCB

#Doctronic #AIDoctor #Glioblastoma #BrainCancer #PatientAccess #HealthEquity

[Doctronic @doctronic]

Last month, the NBA lost one of its most courageous figures to glioblastoma.

The diagnosis entered public awareness a few months ago. He was 47.

[Doctronic @doctronic]

@jaymohan @EricTopol @NEJM The questions people are raising are exactly the ones we're building toward answering. Physician oversight is baked into Phase 1 by design; every renewal is reviewed before it ships. We're not asking regulators to trust us. We're generating the data to earn it.

[Doctronic @doctronic]

The last appointment ends, but the questions and symptoms don’t.

The uncertainty definitely doesn’t.

New research published in JCO Clinical Cancer Informatics shows that machine learning models that use patient-reported outcomes and clinical records can help identify survivors at higher risk of ER visits, hospitalizations, and worsening symptom burden.

The goal, in the words of senior author Frank J. Penedo, Ph.D., of Sylvester Comprehensive Cancer Center, is to “identify patients who are more likely to struggle” so care teams can “align supportive resources earlier and more effectively.”

Proactive. Not reactive.

That same principle guides how we think about access at Doctronic.

27M+ consultations. No appointment. No wait. Research-backed health answers when questions come up.

Survivorship shouldn’t mean navigating uncertainty alone.

Study: https://t.co/RUdO2YPU7h

Full write-up: https://t.co/XSbwkmTeS1

#NationalCancerSurvivorsDay #CancerSurvivorship #AIHealthcare #DigitalHealth #Doctronic #AIDoctor

[Doctronic @doctronic]

More than 18 million Americans are living in survivorship. And for many, one of the hardest chapters begins after treatment ends.

Today is National Cancer Survivors Day.

[Doctronic @doctronic]

Chronic diarrhea is one of the most underreported conditions in healthcare, with many people avoiding treatment until symptoms become serious, even though it can signal underlying conditions like ulcerative colitis or irritable bowel syndrome.

Today is World Digestive Health Day.

This year's campaign has a message worth sharing: chronic diarrhea deserves attention, not embarrassment.

Know what your body is trying to tell you.

If you've been putting off a conversation about gut symptoms, Doctronic makes it easier.

It's free, anonymous, no appointment needed, and no one is in the room with you. Ask what you haven't been able to say out loud.

https://t.co/gl5iXBS58V

[Doctronic @doctronic]

Most people don't bring up gut symptoms until something forces them to.

It's not that they don't notice. It's that talking about it feels uncomfortable. So they wait. They hope it resolves on its own. Months pass.

[Doctronic @doctronic]

This week, Utah's Office of AI Policy released early data from Phase 1 of the pilot. Every AI recommendation in this phase required physician approval before anything reached a pharmacy. No exceptions.

What the data shows:

→ Physicians agreed with the AI's renewal recommendations 91% of the time. When a second physician reviewed cases of disagreement, the combined agreement reached 97%.

→ In 28% of cases, the AI escalated to a physician rather than recommending renewal. In 69% of those escalations, reviewers confirmed the caution was appropriate. For a system in its first phase, that's the guardrails working as intended.

No adverse events or contraindicated prescriptions were identified.

The Phase 1 review data comes from our own physician team. Utah's Office of AI Policy recognized that and has obtained anonymized session data for review by outside experts, who will both verify the reported outcomes and identify where the pilot can improve. That structure, oversight built into the design from the start, is how trust gets built in this space.

None of this is a final verdict. The sample is limited. Phase 1 is designed to be conservative. Experts interviewed by STAT and Endpoints News have noted the right questions to ask as the pilot continues, and we welcome that rigor.

What it does show is that a constrained, physician-supervised AI system can process prescription renewals safely, and that a state can build meaningful oversight around it in real time.

Thank you to Zachary Boyd and the Utah Office of AI Policy for the partnership and for making this data public.

___

Full report: https://t.co/IySAMjZVaC

Coverage from Endpoints News: https://t.co/4Fp7gl3EGC

Coverage from STAT: https://t.co/wcs3zFnKxG

#AIinHealthcare #DigitalHealth #AIDoctor #Doctronic

[Doctronic @doctronic]

Five months ago, Utah became the first state to authorize an AI system to process prescription renewals.

The state government built oversight around the program and committed to publishing what it found.

[Matt Pavelle 🇺🇸 @mattpavelle]

Really enjoyed reading "Rethinking clinical trials for medical AI with dynamic deployments of adaptive systems" in npj Digital Medicine from @_JacobRosenthal, Ashley Beecy & @mertrory at Weill Cornell.

Agree that medical AI needs dynamic deployment to catch drift, distribution shift, and performance degradation. Their framework maps to how we already think about this @Doctronic.

As projects evolve from agentic flows to agentic harnesses, the case gets stronger: imagine a trusted website hijacked to inject dangerous data into an LLM in real time. The more insidious version: inject briefly, revert to clean data, repeat (making detection far harder). The authors' continuous monitoring principle extends naturally to this: it's what surfaces that pattern.

And at high autonomy (Level 4+ CAL), that same continuous algorithmic supervision can ensure safety.

https://t.co/2oz6Y4htG6

[Matt Pavelle 🇺🇸 @mattpavelle]

Becker's summarized the Utah pilot first results. Health system leaders should pay attention. @Doctronic's AI gets physician sign-off on the cases it approves, defers when complexity is present, and errs cautious when it isn't sure.

https://t.co/abyfjuhZNH

[Matt Pavelle 🇺🇸 @mattpavelle]

When we launched our 50-state telehealth clinic about 18-months ago, we outsourced our physicians, and we quickly learned that was not going to cut it.

Outsourced doctors are optimized for urgent care: one visit, one problem, move on. That is not what @Doctronic is meant to be. We are building longitudinal relationships with patients and real primary care, because that's what Americans need.

So we built our own clinical practice from scratch with physicians only, licensed across all 50 states, doing video visits for everyone. Our clinic is 7x more efficient than anyone else, and we're targeting 10x by year-end. AI does intake, clinical interview, differential, and documentation. Physicians do what physicians do.

https://t.co/638Cljhgfh

[Doctronic @doctronic]

"Pete was still around when I was at BC, and it was a huge inspiration for all of us," Sheehan said. "And I just decided to keep it going after."

May is National ALS Awareness Month. ALS progresses differently in every person, and early symptoms, muscle weakness, fatigue, small changes in speech or movement, are easy to miss or explain away.

By the time most people get a diagnosis, they've spent months wondering if something was wrong.

That gap between "something feels off" and "someone took it seriously" matters.

Doctronic gives people a place to raise concerns before they have the language for them. Free, anonymous, no appointment needed: https://t.co/gl5iXBS58V

_

#Doctronic #AIDoctor #ALSAwareness #ALS #LouGehrigDisease #NationalALSAwarenessMonth

[Doctronic @doctronic]

Every time Dodgers pitcher Emmet Sheehan takes the mound, he wears a glove embroidered with two words: "K ALS."

He's worn it since his college days at Boston College, where teammate Pete Frates, a co-founder of the Ice Bucket Challenge, was living with ALS. Frates passed away in 2019 after seven years with the disease.

[Doctronic @doctronic]

AI-assisted models are now helping detect endometriosis earlier through imaging and symptom-pattern analysis. A 2022 review published in npj Digital Medicine found pooled AI sensitivities ranging from 81.7% to 96.7%.

A 6- to 12-year-old is not a diagnostic delay. It is a decade of unnecessary pain.

Earlier identification is not a small thing. For millions of women, it is everything.

#Endometriosis #WomensHealth #AIinHealthcare #Doctronic #AIDoctor

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Sources:
https://t.co/34KDLxv1UL
https://t.co/ugUb7YUCBN

[Doctronic @doctronic]

Endometriosis affects roughly 1 in 10 women worldwide. Yet diagnosis still takes an average of 6–12 years.

Not because it is rare. Not because treatment does not exist. But because symptoms are often dismissed, overlap with other conditions, and definitive diagnosis has historically relied on laparoscopic surgery