Voice Differentiation
A
Alycia Straeter
As an adult female clinician, Heidi will somewhat frequently confuse my voice with my client's voice, especially if they are also an adult woman. While this is understandable, it would be great to be able to "code" in our voice as the clinician, so Heidi can better differentiate.
Note:
I understand that Heidi is likely to pick up on more clinician-specific details in the note if the clinician is speaking consistently throughout the session, or if even brief personal narratives are shared. I will frequently start sessions with gripes about the weather, use short personal examples of implementing strategies with trying to cope or parent, speak more when I am working with younger clients to relate/connect, etc., so there are a number of situations in which Heidi will include things like "client was upset about the rainy weather and having to drive in it", "client reported succes with using a suggested strategy when working with their child", "client feels overstimulated with loud noises", and so on. Heidi being able to discern between clinician's voice (phrased as "therapist shared [for what purpose]") and client's voice (where phrasing would be consistent with "client was bothered by" type language) would be helpful for these instances.
Thanks in advance for any consideration!
Anya Sharma
Merged in a post:
Dedicated "Half Scribing" - Capture only what the provider articulates
A
Andrew Xuan
Having been at Heidi for a while now, I think I really like Heidi as a transcription / "half-scribing" tool. A so-called cardinal disadvantage of virtual sessions over Heidi on the browser, whereby the mic is only listening to the provider - therefore non-provider voice is not even captured - is in fact a cardinal documentation advantage to some of us. It allows the provider to "echo dictate" / summarize, and distill clinical information so that Heidi can transcribe better, provider can "think better", and patients can even "hear better" (as provider "rephrases" some of the verbiage, which, in all honesty, should be a provider's job and not necessarily "AI's job" in the first place).
And this potentially streamlines consent process as well - since patient voice is not being recorded.
I have taken such a personal liking to this workflow that I do this "half-scribing" exclusively during virtual sessions. I simply tell patients that sometimes I may seem to "echo" or summarize what they say, both for my own brain to process and for my transcription software to document - at the same time. And patients have the opportunity to hear and verify their input summarized by their provider, in real time.
Now since Speaker Diarization has been a feature in AI speech processing from very early on, I would ask Heidi to define this "half-scribing" workflow more formally, and extend it to in-person encounters.
There is an added benefit in assuaging some patients who may harbour intense reservations about AI "recording their voices".
Anya Sharma
Merged in a post:
Speaker recognition for clinicians
E
Emma Pope
I suggest a feature where you train Heidi to recognise your voice so that she only captures the patient information and doesn’t add anything that you mention about yourself. Eg, if I share my history of cancer with a patient, don’t add that to the patient’s history.
Anya Sharma
Merged in a post:
Group sessions
D
David Borek
Is there a way to record treatment team meeting minutes in a way that would identify each speaker of the team?
Is there a way to utilize Heidi in group counseling to make a note for each individual client in the group without mention other clients? We use DAP format. The DATA and Plan would be virtually the same for each member but the Assessment section would need to be individualized.
Anya Sharma
Merged in a post:
Partial Attendance/Split Sessions
G
Graham Dore
It would be helpful if the AI could better catch and capture the presence/absence of folks within a given session with more clarity and detail - noting whether a parent is present for some vs. all of a session, at what point a child client is or isn't involved, when other family members enter a session and when they're not in the session. This is because at times sessions contain multiple component parts with different attendees participating in each of them. It would be great to avoid having to be extra explicit/awkward in articulating verbal cues about this for the AI's sake.