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A marble terrace looking out over mist-wrapped terraced mountains

For hospitals and clinics

The record system,
built for agents.

Most electronic records were designed for billing twenty years ago and have had agents bolted on since. Osseus EHR assumes software is doing the administrative work, and is structured so it can.

What it does for you

The work your clinicians should never have been doing.

Roughly a third of a clinician's day goes on administration. This is the part we take back first, because nobody has to trust a model with a diagnosis to benefit.

Prior authorisation

Assembled from the chart, submitted, chased and escalated. Your staff see an exception queue rather than a payer portal.

Coding and claims

Codes proposed from the encounter with the supporting text cited, so the clinician approves rather than remembers.

Documentation

The note, the referral and the discharge summary drafted before the patient has left the room.

The admin nobody owns

Recalls, results acknowledgement, referral chasing and insurance follow-up, running against your own rules.

Why a bolt-on cannot

Agents need a record they can act on.

Every major vendor ships agents now, Epic, Oracle Health and athenahealth included. They are bolted to a data model built to produce printable documents and bill for them, and that sets the ceiling.

The fact the agent needs is often in a scan or a free-text letter, so it infers rather than reads. A third-party agent reaches the chart through an interface the vendor controls, which mostly lets it look. And nothing joins its suggestion to the clinician's correction or to what happened to the patient, so it cannot get better at your clinic. The data model is the product.

Structured at write time
Every clinical fact is captured coded and addressable as it is created, so an agent reads the fact rather than inferring it from a scan and carrying that guess into everything downstream.
An action layer, not a chat box
Ordering, scheduling, messaging and billing are typed, permissioned tools an agent can call and complete, each one attributable and reversible.
It improves with use
Every suggestion is stored against the correction the clinician made and what happened to the patient afterwards, so the model gets better at your clinic rather than staying wherever the vendor shipped it.
Your agents and our models run here
Workflows your practice manager builds in plain language, and the screening and triage models we train, appear in the same record. There is no integration project to sell you.

Go to market

Asia first, and not as a hedge.

Migration

Migration is our problem. We extract from whatever you are on today, including paper, run both systems in parallel, and keep an engineer attached to your clinic for the first month.

Paper and scansSpreadsheetsHL7v2FHIR R4DICOM and PACS
The decision is still open
Growing private clinic and hospital networks are choosing their first serious record system rather than defending a two-decade incumbent, and they can decide in weeks.
Digital health is being built now
National health identifiers, claims digitisation and interoperability mandates make a FHIR-native system an advantage rather than a translation problem.
The patients the field has missed
Clinical AI is trained on a narrow slice of the world and loses accuracy off it. Running the record system is how the missing data gets collected, with consent, in the clinics that produce it.
Mist over terraced mountains beyond a marble terrace

Begin

See it running, then argue with us about it.

Half an hour with a clinician on your team beats any deck. Bring your hardest workflow.