For ambulatory surgical centers

Every case starts with what it needs.

The autonomous procurement system for ambulatory surgical centers. AI agents read the surgical schedule, match every item to your contracts, check its regulatory status and place the order.

Westbrook Surgery Center

Tomorrow, 18 cases across 3 rooms

Operating rooms07:00 – 17:00
OR 1
OR 2
OR 3
Items forecast

426

On contract

98.6%

Committed spend against contract budgetCommitted Budget
Needs a person2
  • Bone cement kitOff-contract price, alternative found
  • Saline 3 LBack-ordered, substitute on contract
Deliveries

Tue, 07:30

4 orders in transit, all on time

Surgery has robots in the operating room. Its supply chain still runs on faxes, sticky notes and sales reps walking the halls.

6,100+

ambulatory surgical centers in the United States

28M

procedures they perform every year

4–6h

of staff time behind a single manual order

Why procurement breaks in surgical centers

Preference cards drift from reality

Cards are written once and used for years. Kits arrive with items nobody opens and without the one the surgeon asks for.

Contract prices get lost between systems

Negotiated pricing lives in one place and purchasing happens in another, so off-contract spend slips through.

Back-orders surface on the day of surgery

Shortages and recalls are discovered at the case cart, when the only options are a rush order or a delay.

Not another dashboard.A team of agents workingin the background.

mintHealth is a network of specialised AI agents. Each one owns a single job, and none of them waits for someone to update a spreadsheet.

Four agents connect your EHR, contracts, the FDA database and suppliers through the mintHealth core. Schedule agentForecasts each case Contract agentFinds your negotiated price Compliance agentRecalls, FDA status, UDI Order agentPlaces and tracks the order EHR and schedule GPO contracts FDA database Suppliers and EDI
  • Schedule agentReads the EHR and scheduling system and forecasts each case.
  • Contract agentFinds the price you negotiated in GPO and local agreements.
  • Compliance agentChecks recalls, FDA status and device identifiers.
  • Order agentPlaces the order with suppliers and tracks it to the dock.

From a booked case to a delivered order

  1. 1Read the schedule
  2. 2Match the contract
  3. 3Check before it ships
  4. 4Order without the chase

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.

Step 2 of 4

Match the contract

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

Check before it ships

Recalls, FDA status and device identifiers are verified on each line before anything is ordered.

Step 4 of 4

Order without the chase

Approved orders are placed automatically and tracked to delivery. Exceptions go to a person, with the context attached.

Surgical supply can't run on guesses.

Every order passes hard-coded checks before it leaves the building. Nothing reaches the operating room on a model's best guess.

  • Recalls and FDA status, in real time

    Orders for recalled or flagged devices are blocked before they are placed.

  • Lot and UDI traceability

    Device identifiers and lot numbers are verified before anything enters the OR.

  • The true cost of every line

    Unexpected supplier fees, such as sterilization or freight, are surfaced next to the contract price.

Built for the people who keep surgical centers running

Materials managers

Stop reconciling preference cards and re-keying orders. Handle the exceptions, not the routine.

Administrators and finance

See committed spend against contracts before it happens, per case and per surgeon.

Clinical leads

Start each case with the right items on the cart and fewer day-of-surgery surprises.

Simulated first.Deployed second.

Regulated healthcare can't learn on live patient data first. So we build the simulation, prove the logic, and only then deploy. Developed in Warsaw.

Simulate

Synthetic sandbox

Agents learn logic, negotiation and compliance rules on statistically faithful synthetic twins of clinical and operational data, before they see a live system.

Prove

Adaptive models

Our Adaptive Root Architecture grows or prunes pathways as data density changes, so models stay lean as they scale.

Deploy

Privacy by design

Core models carry no personal data. Each deployment is scoped with the partner's compliance team and starts under a mutual NDA.

What we measure in every pilot

Targets we set with each center at kickoff and report against, line by line.

95%

of spend on contract

<30 min

from booked case to placed order

<1%

order line error rate

0

recalled devices ordered

Questions centers ask us

No. It takes over the repetitive work, such as reconciling preference cards, reordering and checking prices, and hands anything that needs judgment to your team with the context attached.

Your EHR and scheduling system for case data, and your purchasing channels for orders. The exact integrations are agreed during onboarding.

mintHealth uses only the minimum case data needed to forecast supplies. Its models are built on synthetic data, and every deployment is scoped with your compliance team under an NDA.

Per surgical center, based on case volume and integrations. Book a call and we will send you a quote.

See mintHealth onyour own schedule data.

A short call to understand your center, then a walkthrough with your cases. NDA available from the first conversation.