EHR, EPR, PACS, RIS and HIMS become data sources underneath. One intelligence layer captures clinical input, contextualises it against the whole record, reasons, orchestrates the work, executes it back into your systems — and holds everything for clinician verification before it is signed.
The same loop drives every agent on the platform — radiology dictation, OPD consultation, prescription capture or operation notes. Only the inputs and the templates change.
Voice, typed notes, handwritten prescriptions, scanned reports and images — captured on desktop, mobile, Word or browser, in 20+ languages.
Demographics, prior reports, vitals, orders and imaging are assembled into a single clinical picture before anything is generated.
The model works over the assembled context rather than a single utterance, so the output reflects the patient rather than the last sentence spoken.
Templates selected, sections structured, coding suggested, priorities and STAT cases flagged, hand-offs routed to the right person.
Structured output posted into EHR, RIS and LIS fields in real time over your existing interfaces — no re-keying, no parallel system.
Every output is presented for review, edit and sign-off. Nothing enters the permanent record unapproved, and every action is audited.
The operating system reads from and writes back to the systems you already run, using the interfaces your integration team already supports.
Cloud, hybrid or fully on-premise within the hospital or Trust network, so patient data can stay inside your own perimeter where your information governance requires it.
EHR, HIMS, PACS and RIS run as disconnected silos on pre-AI legacy systems — while documentation drowns every department and there is no clean way to deploy AI on top.
EHR, HIMS, PACS and RIS rarely talk to each other.
Most hospital systems predate modern AI — no clean way to plug in.
Clinician time these broken systems cannot give back.
The register below is split by regulatory class, not by marketing tier. What is live in the UK today is listed separately from what is live in India while UK conformity assessment is under way.
UK regulatory scope. DeepInfinity Scribe is the product registered with the MHRA as a Class I medical device under UK MDR 2002. The Class IIa agents above are not offered in the UK. Please confirm the current regulatory position of any individual agent with our regulatory team before relying on it in a procurement or tender response.
One continuous OPD flow — the voice agent captures, the platform documents, codes, verifies and submits.
Multilingual voice AI captures complaints and history of present illness.
Summarises the conversation into a structured HOPI and flags priorities against scheduled appointments.
On consult start, builds a screening document from vitals and the HOPI.
Multilingual conversation auto-populates the consultation document.
Suggests ICD and CPT codes and prescriptions, with order and medication masters built in. The clinician confirms.
Clinician verification of AI-generated medical necessity before sign-off.
Claims scrubbing with a scoring and percentage-based quality check.
Every output is written back to the EHR in real time.
Not a scribe bolted onto a broken stack — an intelligence layer that owns the flow of clinical information across every department.
An intelligence layer that owns the flow of clinical information across radiology, OPD, ICU, emergency, pathology and surgery — rather than another point tool bolted onto the side.
Give clinicians back the third of the day they lose to paperwork, and give hospitals one connected record instead of four disconnected ones.
On request we will send the DTAC v2.0 self-assessment, the DCB0129 clinical safety case and the UKCA technical file summary to your governance team.
Fifteen minutes, live, with your templates and your workflows. Tell us about your stack and we will scope the right path forward.