Delaware treats health data like a road system đŁď¸, Agents don't get a pass đŞŞ
***Note: The original post mentioned Medgemma release, which is âold news.â Interesting how my AI curation let that slip through as it was released almost one year ago to the day*****
⥠Around the Wards
Delaware turned health-data exchange into a public utility â real-time insurance eligibility and prior auth now run through one neutral statewide hub (built on the state HIE, DHIN) instead of forty portals and a fax machine, and on July 13 the governor stood up the stateâs first Surgeon General to drive the policy. đŽ My bet: three more states copy the âneutral hub as public infrastructureâ model within 18 months â and the vendors who sold point-to-point integrations spend 2027 explaining why anyone still needs them.
Octozi raised $3M to put agentic AI on clinical-trial data cleaning â a published study reports reviewer error rates falling from ~54.7% to 8.5% with a human-in-the-loop grader. The number that matters isnât the funding; itâs the error curve.
đ§ Podcast: The 229 Podcast â âAgents Donât Get a Pass: Governing Digital Identityâ â AI agents are now one of the fastest-growing identity types in a health system, and if an agent improperly discloses PHI, âOCR wonât care whether it was a person or a machine. Youâll still be accountable.â
đ§ The Curbside
âShould our AI agent get its own login to the EHR?â
Short answer: Only if you can answer âwhatâs the blast radius?â before you provision it.
What changed / Evidence: The identity problem is now the governance problem. As one healthcare security leader put it this week, agents are becoming one of the fastest-growing identity types in the hospital, and accountability for what they access and disclose lands on you regardless of whether a human or a machine did it.
Builder read / Watchout: Give the agent the least access that lets it do the job, scope it to specific resources, and log every action to something a human reviews. đ¤ Haters: âThis is just IAM with extra steps.â Kind of â except the agent acts continuously, at machine speed, on data with a federal penalty attached. The extra steps are the point.
đŹ The Big Thing
What if the health-data hub isnât a product to sell â but a road the state paves? Delaware just tested the idea.
Delaware routed real-time insurance eligibility and prior authorization through a single neutral statewide hub, built on the stateâs health information exchange (DHIN) and the Smart Health Network â connecting clinicians, payers, and health systems to one shared pipe instead of forty portals and a fax machine.
The same week, on July 13, Governor Matt Meyer signed an executive order creating Delawareâs first Office of the Surgeon General and named otolaryngologist Dr. Neil Hockstein â who chairs the state Health Care Commission â to the role.
The move that should stop a builder cold: Delaware treated interoperability as public infrastructure â âneutral, and designed around patient interestâ â not as a market to be won by whichever vendor sells the most integrations.
Healthcare runs on an estimated nine billion faxes a year because every organization built its own private connection to every other one â âa different dirt road for every different type of car to everywhere else.â A neutral hub says: connect once, reach everyone. Thatâs a structurally different bet than another point-to-point product.
If you build eligibility, prior-auth, or data-exchange tooling, this is the question the next 18 months will ask you: are you paving the public road, building the on-ramps to it, or selling one more private dirt track that a state utility just made redundant?
đ¤ âItâs Delaware. A million people. This doesnât generalize.â Small is the feature, not the bug â itâs big enough to matter and small enough to actually ship. The first state utility always looks like a rounding error. Then itâs the template three neighbors copy because building your own from scratch is dumber than joining one that works.
đ¤ âState-run health infrastructure? Thatâll move at DMV speed and vendors will route around it.â Maybe. But itâs built on DHIN â a HIE thatâs been live for years â not a greenfield IT project. And âneutral utilityâ is exactly the thing no single vendor could ever credibly be, because every vendorâs incentive is to own the pipe, not share it.
đ¤ âPrior auth is a fight AI wonât win â a hub doesnât change the denial.â Right, and the hub isnât trying to win the fight. Itâs trying to make the plumbing invisible so the fight is faster and the patient can see the tracker. Different problem. Both real.
đ§Ş Try the interactive: The Public Road â all 50 states plotted by how many hospitals are on the âconnect once, reach everyoneâ road vs. still just planning. Built with real CMS data via mimilabs.
đĄ Builderâs Radar
The number that should reset your priors on âAI for paperworkâ: 54.7% to 8.5%.
Octozi raised a $3M seed (Surface Ventures, Remarkable Ventures, Debiopharmâs venture arm) to put agentic AI on clinical-trial data operations â the cleaning, reconciliation, and reporting that gate a database lock.
In a controlled, published study, their human-in-the-loop system pushed data-cleaning throughput ~6x, cut reviewer error rates from about 54.7% to 8.5%, and dropped false-positive queries roughly 15-fold â an estimated $5M+ saved on a representative Phase III oncology trial.
The story isnât the agent. Itâs that they measured the human baseline (a 54.7% error rate!) and proved the delta. Most clinical-AI pitches show you the modelâs accuracy and never tell you what the humans were doing before.
đ¤ âTrial data ops isnât clinical AI, itâs back-office.â The back office is where the defensible AI businesses are hiding â measurable task, human-in-the-loop, and a baseline bad enough that a real delta is easy to prove.
Vidith Phillips, MD, MS (Imaging AI researcher, St. Jude) â posted a running list of healthcare-AI GitHub repos worth knowing (awesome-healthcare-ai, awesome-healthcare, and more), a decent weekend map if youâre looking for open-source clinical tooling to learn from.
đď¸ From the Pods
The most underrated voice in the episode wasnât the CEO or the surgeon â it was Aretha, a surgery scheduler, describing a morning spent logging into âmultiple portals,â chasing prior auths that sit pending for days, only to sometimes learn no auth was required at all. Thatâs the user your tool is actually for.
đ Speaker Blindspot: Availability heuristic â the panel generalizes from Delawareâs genuinely favorable conditions (tiny, one dominant HIE) to âthis is the model,â while skating past why forty other states with fragmented HIEs and no neutral convener havenât done it. The template is real; the transplant is harder than the enthusiasm suggests.
đĄ BTW
đĄ BTW: Paul Meyer â the CEO running Delawareâs new neutral health-data hub â built Text4baby about fifteen years ago: a free service that texted evidence-based pregnancy and infant-health tips to millions of moms, and got so universal the team joked the only organizations not partnered with it were âthose that hate babies.â Before health tech, he was a speechwriter in the Clinton White House. Same idea running through all of it: build the thing for the person, and every institution finds its own reason to show up.
What are you building this week? Email and tell me (kevin@clinicians.build) â I read every one.
â Kevin & AI



