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Evaluate Treatment Outcomes For AI-Enabled Information Collection Tool For Clinical Assessments In Mental Healthcare
Sponsor: Limbic Limited
Summary
In the proposed study, the investigators aim to test an AI-prototype which adaptively collects information about a patient's mental health symptoms at the time of referral in order to support and facilitate the clinical assessment.
Key Details
Gender
All
Age Range
16 Years - Any
Study Type
INTERVENTIONAL
Enrollment
5400
Start Date
2023-02-28
Completion Date
2025-12-01
Last Updated
2025-04-08
Healthy Volunteers
No
Conditions
Interventions
Standard Limbic Access pathway
Relevant information for clinical referral (e.g. demographics) and basic clinical information (e.g. PHQ-9 \& Gad-7 scores) are collected during the self-referral process which is then attached to the referral notes in order to facilitate the clinical assessment conducted by the clinician.
Limbic Access with AI pathway
The same information as in the Limbic Access pathway is collected. However, additional information (i.e. disorder specific questionnaires) are collected for the most likely problem descriptors based on the ML-model predictions. All information is attached to the referral in order to facilitate the clinical assessment conducted by the clinician.
Locations (1)
Insight Healthcare
Gosforth, United Kingdom