distinguish between the practitioner and patient/client during transcription
D
Darlene Regueiro
I'd like Heidi to automatically distinguish between the practitioner and patient/client during transcription, clearly labeling each speaker throughout the conversation.
Currently, it's difficult to determine who said what when reviewing transcripts. This is especially important for clinical documentation, where patient-reported symptoms, medical history, and concerns must be accurately distinguished from the practitioner's assessments, clinical observations, education, and recommendations.
Requested functionality:
- Automatically identify and label speakers as "Practitioner" and "Patient/Client."
- Maintain consistent speaker identification throughout the transcript.
- Allow users to manually correct speaker labels when necessary.
- Use speaker identification when generating clinical notes to ensure information is attributed to the correct person.
- Support this functionality across desktop, browser, and mobile recordings, including telehealth sessions.
Why this matters: Accurate speaker identification would improve clinical documentation, reduce manual editing, and minimize the risk of incorrectly attributing patient statements or practitioner recommendations in medical records.