The check for mental health and social care.
AI can change how a person is described in clinical and social care records without changing the obvious facts. AffectiveHalo shows what changed about the person before you sign or send.
Check a recordWhat it finds
Your conclusion, deleted.
Synthetic exampleSource
Low mood reported, but on balance I don't think this meets the threshold for a referral; review in two weeks.
AI draft
Low mood reported. Review in two weeks.
Finding
The draft keeps the observation and drops your decision. A reader will re-decide without you.
Her words, someone else's.
Synthetic exampleSource
I don't feel safe going outside on my own.
AI draft
The patient is reluctant to leave the house independently.
Finding
Her feeling of being unsafe has become a clinician's description of reluctance.
A label where a person should be.
Synthetic exampleSource
She said she hadn't been sleeping well and had missed a few sessions.
AI draft
Client is non-compliant with the sleep plan and minimises the impact of her drinking.
Finding
What she said has become a clinical label. The note doesn't describe what she did or said.
Who it is for
You sign or send the record.
Therapists, counsellors, psychologists, social workers, nurses, physicians, and anyone writing about a person with AI in health or care settings.
AI saved you the writing.
The check makes the review real.
You sign or send with your review record.
Where we started.
How people are documented shapes how they are understood. We built AffectiveHalo in mental health and social care, where we first saw the gap between what a person said and what an AI draft recorded about them.