Ambient documentation that gives clinicians their day back.

AI Clinical Scribe

T7 builds ambient AI scribes that listen to the encounter and draft the SOAP note in the EHR — with the citations clinicians need to trust it.

The problem

Clinicians spend up to 40% of their day on notes; burnout and documentation lag hurt care and revenue equally.

Consumer scribes are non-starters for PHI — data residency, HIPAA and DPDP block them.

How T7 solves it

Our scribe runs inside your cloud tenancy or on-prem, transcribes multi-speaker encounters, and drafts a SOAP note structured for your EHR.

Every note is grounded — clinicians see the transcript span behind every claim before signing.

Multi-language support covers major Indian and global languages including code-mixed English.

The workflow

Step 1

Capture

Mobile or desktop app records encounter with consent; on-device redaction removes PII where required.

Step 2

Draft

Transcript + medical LLM generates SOAP note; ICD/CPT suggestions attached.

Step 3

Sign & push

Clinician edits, signs, and note pushes into the EHR with audit trail.

Outcomes we ship for

60%
Reduction in documentation time
+20%
Patient-facing time per clinician
100%
Notes with transcript-grounded citations

The stack

WhisperAzure SpeechMedical LLMsFHIR / HL7Epic / Cerner APIs

Frequently asked questions

Is it HIPAA / DPDP compliant?

Yes — deploy in your cloud/on-prem, full audit trails, encryption at rest and in transit, BAAs available.

Which EHRs are integrated?

Epic, Cerner, Meditech, Athenahealth and Indian HIS platforms via FHIR/HL7 and direct APIs.

Does the AI ever finalise a note?

No — clinician review and sign-off is mandatory. The AI drafts; the clinician owns.

Ready to Build Your AI Product?

Talk to a senior AI consultant from T7 about your industry, workflow, or product idea. Free, no commitment — reply within one business day.

  • · AI feasibility & architecture review
  • · Product / MVP roadmap
  • · Integration & automation strategy