The core principle
Porvio assists with documentation. It does not practise medicine or dentistry. Every AI output is a draft.
The treating professional remains responsible for the encounter, medical or dental record, decisions, communications, coding, and care. Porvio is designed to make review explicit rather than hide AI involvement.
Intended and excluded uses
Intended support
- transcribe clinician-controlled encounter audio;
- organize a structured, editable documentation draft;
- suggest follow-up tasks and possible codes for individual review; and
- synthesize a draft answer from retrieved PubMed records.
Not intended for
- emergency monitoring or communication;
- autonomous diagnosis, triage, treatment, prescribing, or ordering;
- automatic billing, claims, referrals, messages, or EMR write-back;
- deciding patient eligibility, coverage, employment, or legal rights; or
- use as the sole evidence or source of truth for care.
How the AI workflow works
- An authorized clinician selects the patient and records the consent status.
- Audio is recorded or uploaded only after consent is marked granted.
- Speech-processing AI produces an unverified transcript.
- Clinical drafting AI receives the transcript, selected template, and limited patient context to produce a structured draft.
- The clinician edits the note and accepts or dismisses suggested tasks and codes individually.
- The note is locked only when the clinician deliberately finalizes it.
Known limitations
AI output can omit, invent, merge, or misattribute information. Review:
- negation and uncertainty;
- speaker identity and statements from another participant;
- medication, allergy, dose, unit, route, and frequency;
- dates, laterality, anatomy, dental notation, and follow-up timing;
- diagnostic and billing codes for the applicable jurisdiction;
- language, accent, audio quality, and accessibility-related errors; and
- whether a cited publication actually supports each statement.
A confidence score is not proof of clinical correctness. A fluent answer can still be wrong.
Human review and product safeguards
- Generated and clinician-authored revisions remain distinguishable.
- Drafts remain editable before finalization.
- Tasks and codes require an individual accept or dismiss decision.
- Finalization requires a deliberate confirmation.
- Structured model responses are validated before being saved.
- Evidence citations must match PubMed identifiers returned by the search.
- Clinical content is rendered as text, not trusted executable HTML.
Consent, refusal, and withdrawal
Do not record until the legally required consent is obtained and the patient understands the purpose of the AI-assisted workflow, the outside providers involved, the information retained, and the available choices. A check box alone may not be sufficient.
If consent is withheld or withdrawn, stop using the recorder and use another documentation method without affecting care. Porvio can remove attached source audio, but derived records may be subject to separate legal-record and retention duties. See the Privacy Notice.
Privacy and model routing
Porvio routes approved audio and text requests through managed AI providers. Where supported, text routes are configured to avoid provider training and prefer limited retention; audio services can use different controls. Provider settings and contracts remain part of the organization’s privacy review and are not, by themselves, a compliance or residency guarantee.
Performance and time-saving estimates
Any interactive time-saving calculator uses only the values selected by the visitor. It is an illustrative scenario, not a guarantee of Porvio’s performance, additional capacity, revenue, clinical outcome, or reduced workload. Results vary with specialty, workflow, encounter complexity, audio quality, review time, and service availability.
Monitoring and accountability
Responsible clinical deployment requires ongoing review of model behaviour, accuracy, bias, vendor changes, incidents, and user feedback. Porvio may pause or change a model or feature when its behaviour falls outside an acceptable range. A model change must be assessed before use with real clinical information.
This approach is informed by the Ontario IPC’s guidance for AI scribes, but Porvio does not claim that reference alone establishes compliance.
Report an unsafe or inaccurate output
Stop relying on an output if it may cause harm. Preserve only the minimum information needed to identify the problem and email [email protected]. Do not send patient names, recordings, transcripts, credentials, or full notes by ordinary email. Privacy concerns can be sent to [email protected].