How does Othisis tell the difference between the patient's own statements and what a carer or interpreter said?

Every transcript segment is attributed to the speaker who said it, so carer input, interpreted responses, and the patient's own words stay clearly distinguished in the draft note rather than blended into one voice.

Does an interpreter's involvement change what gets documented?

The interpreted exchange is captured as part of the encounter, with the relayed response linked back to its place in the transcript, so the record reflects that an interpreter was involved rather than presenting it as a direct patient statement.

Who has to approve a note before it's finalized?

The clinician. Every draft, regardless of how many speakers contributed, requires clinician review and sign-off before anything enters the record.

Does this work for ward rounds with multiple staff contributing?

Yes — ambient capture runs across all speakers present, including nursing staff and allied health contributions during a ward round, and folds them into the same traceable transcript.

MULTI-PARTY TRANSCRIPTION

Multi-Party Transcription, Every Voice Attributed

A visit note that only captures the clinician isn't a record of what happened in the room; it's half the conversation.

Othisis captures every speaker in the room, clinician, patient, carer, interpreter, and turns the full multi-party conversation into a structured, speaker-attributed transcript. Every clinical detail in the draft note traces back to who actually said it and when. Clinicians review and approve before anything enters the record.

This matters most in visits where more than one voice carries clinical weight: a carer explaining home symptoms, an interpreter relaying a patient's answer, a guardian describing a child's history, allied health staff contributing during a ward round. When only the clinician's side gets documented, the record misses who actually said what, and that gap shows up later in disputes, handoffs, and audits.

Explore Multi-Party Transcription

Doctor consulting with a patient and family member, tablet displaying multi-speaker transcript

Multi-Speaker Visits Are Hard to Document Accurately, and Harder to Audit

Multiple speakers, one flat note

When a carer, interpreter, or family member contributes clinically relevant information, it often gets folded into the clinician's own note with no record of who actually said it.

Third-party statements go undocumented

A carer's description of symptoms at home, or a guardian's account of a child's history, is easy to lose entirely if it isn't captured as it's said.

Interpreted exchanges lose their source

When an interpreter relays a patient's answer, the note usually keeps only the final English version, with no trace back to what the patient actually said.

Consent and attribution get blurred

Multi-party consent discussions, who agreed to what, and on whose behalf, are hard to reconstruct after the fact if the note doesn't preserve speaker attribution.

End-to-End Workflow Coverage for Multi-Party Encounters

Pre-Visit

Ingest prior notes, carer correspondence, and guardian-submitted histories from uploaded PDFs
Extract relevant third-party reported history from referral documents
Identify unsigned histories submitted by carers or legal guardians in outside records
Surface discrepancies between carer-reported and patient-stated medication history
Flag prior correspondence from social workers or allied health included in referral PDFs
Generate a structured pre-visit brief from multi-source external documentation

During Visit

Ambient capture runs without interruption across all speakers in the room
Clinician, patient, carer, and interpreter voices captured throughout the consultation
Multi-party consent discussions captured verbatim for documentation accuracy
No real-time display to clinician full attention remains on the consultation
Ward round contributions from nursing staff and allied health captured in ambient audio
Session ends; transcript becomes the traceable foundation for all post-encounter outputs

After Visit

Structured SOAP note drafted from full multi-party transcript after the encounter ends
Speaker contributions traceable to the exact audio segment in the post-encounter transcript
Clinician reviews draft with full speaker-attributed transcript visible alongside
Referral letter and patient summary drafted from verified, multi-source encounter content
ICD-10 coding cues generated from documented encounter content, graded by confidence level
All outputs require clinician sign-off nothing enters the record without explicit approval

How Othisis Supports Multi-Speaker Clinical Documentation

Speaker-attributed drafts generated from the live encounter, not from a single-voice template.

Source traceability links every clinical detail to the exact transcript segment and speaker it came from.

Carer input, interpreted exchanges, and multi-party consent captured as structured, attributable content.

Draft-first output. Every note requires clinician review and approval before it enters the record.

Every note Othisis generates from a multi-party encounter is a draft that requires clinician review before anything is finalized. The focus is on preserving who said what, not collapsing every voice into one undifferentiated narrative, with the clinician accountable for what gets signed off.

Document Intelligence for Multi-Party Encounters

Multi-Party-Aware Document Intelligence

Every speaker in the encounter: clinician, patient, carer, interpreter, and allied health staff
Carer correspondence, guardian-submitted histories, and interpreter-relayed responses, each attributed to its source
Prior referral PDFs and outside records cross-checked against what's said live in the room
Multi-party consent discussions captured verbatim, with each participant's contribution preserved
Ward-round contributions from nursing staff and allied health folded into the same traceable transcript
Discrepancies between carer-reported and patient-stated history surfaced for clinician review
Speaker-attributed transcript segments linked directly to the structured note that follows

High-Fidelity Clinical Documentation

Structured SOAP notes with each clinical detail traceable to the speaker who provided it
Carer- and guardian-reported history distinguished clearly from the patient's own statements
Interpreter-relayed exchanges preserved alongside the original language turn where available
Multi-party consent captured as a discrete, attributable record rather than folded into general notes
Ward-round and allied-health contributions documented without disrupting clinical flow
Clinics receiving large PDF packets before the encounter

Accuracy, Traceability & Risk Controls

Click-to-source traceability: every line in the draft note links back to the transcript segment and speaker who produced it
Discrepancies between carer-reported and patient-stated history are highlighted before the note is finalized
Confidence scoring identifies content where speaker attribution or source extraction was uncertain, before the clinician's sign-off
Clinician review and approval are required before any multi-party note is distributed; approval is logged
Contradictions between what different speakers said are surfaced for resolution during review, not silently merged
Preserves clinician judgment rather than replacing it

Time, Throughput & Sustainability

Multi-party drafts are ready for clinician review immediately after the encounter ends, not between sessions
Practices handling complex, multi-speaker visits eliminate the gap between what was said in the room and what gets documented
After-hours note writing is reduced when speaker-attributed drafts are generated and reviewable before the session closes
Fewer clarification callbacks are needed when carer- and interpreter-provided information is already captured and attributed correctly
Follow-up and handoff accuracy improves when the record reflects who actually said what, not a flattened summary
Helps clinicians finish documentation within clinic hours more often

Designed for Clinics Handling Multi-Party, Multi-Speaker Visits

Suited for pediatric, geriatric, interpreter-assisted, and multi-provider practices where more than one voice is clinically relevant
Compatible with read-only EHR environments, no write integration required to begin generating multi-party transcripts
Onboarding requires no IT-side EHR configuration; practices can begin capturing multi-speaker encounters within days
Multi-provider setups benefit from a consistent speaker-attribution structure regardless of which clinician conducted the visit
Data encryption, access controls, and audit logs ensure multi-party transcripts meet HIPAA compliance requirements at every stage
Clinics regularly involving carers, interpreters, guardians, or allied health staff in the encounter