Step 1 of 4
Read the schedule
Cases and preference cards flow in from the EHR and the scheduling system. mintHealth forecasts what each procedure will consume, case by case.
A Northhaven product
The autonomous procurement operating system for ambulatory surgical centers. Specialised AI agents read the surgical schedule, match every item to your contracts, check its regulatory status and place the order — so clinical teams stop chasing supplies and start every case with what it needs.
Cards are written once and used for years. Kits arrive with items nobody opens and without the one the surgeon asks for.
Negotiated pricing lives in one place and purchasing happens in another, so off-contract spend slips through.
Shortages and recalls are discovered at the case cart, when the only options are a rush order or a delay.
mintHealth connects what is booked in the operating room with what arrives at the loading dock — and handles everything in between.
From a booked case to a delivered order. The cards show what the team sees at each step.
Step 1 of 4
Cases and preference cards flow in from the EHR and the scheduling system. mintHealth forecasts what each procedure will consume, case by case.
Step 2 of 4
Every line is matched against GPO and local agreements, so orders go out at the price the center has already negotiated.
Step 3 of 4
Recalls, FDA status and device identifiers are verified on each line before anything is ordered.
Step 4 of 4
Approved orders are placed automatically and tracked to delivery. Exceptions go to a person, with the context attached.
Ambulatory surgical centers and the people who keep them running.
Stop reconciling preference cards and re-keying orders. Handle the exceptions, not the routine.
See committed spend against contracts before it happens, per case and per surgeon.
Start each case with the right items on the cart and fewer day-of-surgery surprises.
Regulated healthcare can’t learn on live patient data first. So we build the simulation, prove the logic, and only then deploy.
Developed by Northhaven Analytics, Warsaw
Models learn on statistically faithful synthetic twins of clinical and operational data before they see a live system.
Our Adaptive Root Architecture grows or prunes pathways as data density changes, so models stay lean as they scale.
Core models carry no personal data. Deployments are scoped with each partner’s compliance team and start under a mutual NDA.
No. It takes over the repetitive work — reconciling, re-ordering, price checks — and hands people the exceptions that need judgment.
The EHR and scheduling system for case data, and your purchasing channels for orders. The exact integrations are scoped with each center during onboarding.
mintHealth works with the minimum case information needed to forecast supplies. Its models are developed on synthetic data, and every deployment is scoped with the center’s compliance team under a mutual NDA.
Per surgical center, based on case volume and integrations. Book a call and we will send a quote.
A short call to understand your center, then a walkthrough with your cases. NDA available from the first conversation.