AI agents for regulated health and federal work

We build AI that takes real work off clinical and program staff, on data that is structured for it, inside the security controls regulated environments require.

Agents we have built

Client delivery for Hiive Health and Efiia healthcare operations. Our own products are further down the page.

Data accuracy

Finds gaps, conflicts and stale values in clinical and administrative records before they cause a denied claim or a bad decision.

Client delivery

Prior authorization

Assembles the documentation a payer needs, submits it and tracks status, so staff stop chasing approvals by phone and fax.

Client delivery

Patient identity

Matches and reconciles patient records across systems, so the right history follows the right person.

Client delivery

Scheduling

Coordinates appointments, staff and resources around clinical priorities and payer approvals.

Client delivery

From order to appointment

Where agents take over the administrative steps between a clinical order and a scheduled visit.

AI agents from order to appointment. Five steps: order, check data, confirm identity, prior authorization, schedule. AI agents handle the four steps after the order.

  1. Order

    Clinician orders a procedure

  2. Deosi platform

    Check data

    Agent verifies record accuracy

  3. Deosi platform

    Confirm identity

    Agent matches patient records

  4. Deosi platform

    Prior auth

    Agent assembles and submits

  5. Deosi platform

    Schedule

    Agent books once approved

The clinician makes the clinical decision. The agents handle the paperwork that follows it.

Why our AI holds up in regulated settings

01

Domain context

We know the workflows the agents work inside: research programs, clinics, payers and federal case processing. Agents built without that knowledge automate the wrong thing.

02

AI-ready data

Our platforms capture data in FHIR, LOINC, SNOMED CT and HL7 ANF from the start, the same structured data AI needs to be accurate.

03

Security and governance

The engineers who support federal ATOs build our AI: access control, audit trails and PII protection are part of the design, not an afterthought.

Our AI products

Three products, one FHIR platform, all ready to deploy. They run on the same Deosi FHIR platform and the same AI engineering as our client agents.

See how they fit together
Deosi WoundCare on a phone A wound assessment screen showing an AI measurement outline of 3.2 by 2.1 centimeters, an 18 percent smaller area since the last visit, a healing trend chart, and a button to save to the FHIR record. Patient 1042, left heel Wound assessment 3.2 × 2.1 cm Area 18% smaller since last visit Healing trend, 6 visits Save to record (FHIR)
Deosi product · Ready to deploy

Deosi WoundCare

AI wound image analysis, structured documentation and a patient eDiary.
AI Claims Agent screen A wound care claim built from the visit documentation, checked, and submitted directly to the insurer by the agent, now awaiting acceptance. AI Claims Agent Claim 20481 Wound care visit, Nov 4 Service Wound debridement Documentation Assessment, photos, notes Insurer Commercial PPO Built Checked Submitted Accepted Agent: documentation complete, submitted to insurer at 9:42 AM
Deosi product · In use for wound care

AI Claims Agent

Builds claims from the clinical record and submits them directly to insurers.
Offline and Edge AI on a tablet A tablet working offline with three visits captured and analyzed on the device, waiting to sync to the main record when the network returns. Today’s visits Offline 9:10 AM Home visit, wound check AI analysis done 10:45 AM Home visit, follow-up AI analysis done 1:20 PM Rural clinic intake AI analysis done 3 visits waiting to sync to the main record Syncs automatically when the network returns
Deosi product · Ready to deploy

Offline and Edge AI

Tablet-based clinical capture and AI that keep working offline, then sync.

AI past performance

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