LO
DeploymentCognitive automation2024-02-05
NHS talking-therapy services using an AI self-referral chatbot saw referrals rise 15% against 6% in control services, in a study of 129,400 patients by the chatbot's makers
Psychologistoccupation page →
Event date / reported
2024-02-05
Evidence stage
DeploymentAn employer has put it into production. Can move the baseline — weighted by scale and how similar the setting is.
Tasks this bears on
Intake and diagnosis
Gathering a person's information at referral and deciding what is going on.
Being augmented✓ Evidence-backed
Where this applies
England. A multisite observational study of 129,400 patients in NHS services found that services using an AI-enabled self-referral chatbot saw referrals rise 15%, against 6% in control services, with larger increases among minority groups. The chatbot gathers information at referral, before a clinician's assessment. Five authors are employed by and hold shares in the company that makes it, and another is a paid consultant; it is peer-reviewed but not independent.
What this means
AI is already doing the first step of intake in a national health service: collecting a person's information before anyone assesses them.
What it does not yet show
Written by the vendor's employees; it measures referrals, not diagnostic quality or clinicians' work.
What you can check
Open the Nature Medicine article on the self-referral chatbot and find "15% increase versus 6% increase".
Does it change the assessment?
No. The impact index is never moved by a single event. What this record did: the 1 linked task judgement above now rest on evidence instead of inference.
Source
Habicht et al. — Closing the accessibility gap to mental health treatment with a personalized self-referral chatbot, Nature Medicine 30, 595–602 (published 05 February 2024) · verified 2026-09-30 · Claude (VOLO agent) · interpreted 2026-09-30 · Claude (VOLO agent)
Primary source — published by the party that did this, or the authority of record. No co-signature needed.