AI in Healthcare — Clinical AI Systems & Consulting | ONAQO
INDUSTRY 01 · REGULATED

AI IN HEALTHCARE,
WITH A HUMAN
STILL SIGNING.

We build systems that remove administrative load from clinical staff without taking clinical authority away from them. Documentation, triage ordering, coding support, message routing — every output attributable, reviewable and signed by a person.

DESIGN CONSTRAINTS WE ACCEPT UP FRONT De-identification before any processing On-premise inference when records cannot leave Model version pinned to every decision No autonomous diagnosis, ever
THE CHALLENGES

Why healthcare AI stalls after the pilot.

{{ c.num }}

{{ c.title }}

{{ c.body }}

{{ c.answer }}
EXAMPLE WORKFLOW ILLUSTRATIVE · NOT A CLEARED MEDICAL DEVICE

Imaging triage: the model orders the queue, the radiologist reads it.

01 ACQUIREstudy from PACSDICOM 02 PROTECTde-identifystays on premise 03 SCOREurgency signal+ confidence 04 ORDERworklist resortednothing removed 05 READradiologist decidessigns the report 06 LOGaudit record MODALITY MODEL VERSION PINNED CLINICAL AUTHORITY

Note what the system does not do: it never removes a study from the queue, never writes to the record, and never produces a diagnosis. It changes the order in which a human looks — which is enough to matter, and small enough to govern.

USE CASES

Where the administrative load actually sits.

{{ u.setting }} {{ u.title }} {{ u.body }}
SECURITY & GOVERNANCE

The part your compliance team reads first.

We are engineers, not your regulator. These are the controls we build by default; the applicable framework — HIPAA, GDPR, DPDP, local health authority rules — is confirmed with your compliance function before design, not after.

{{ c.tag }}

{{ c.title }}

{{ c.body }}
RELEVANT SERVICES

What a healthcare engagement usually pulls in.

START WITH ONE
CLINICAL WORKFLOW.

Not a transformation programme. One workflow, one department, one measurable outcome — with your compliance team in the room from the first design session.