13.12.2023

LIMBIC RESEARCH

PUBLISHED

Using conversational AI to facilitate mental health assessment and improve clinical efficiencies in psychotherapy services in a large real-world dataset

Max Rollwage, Johanna Habicht, Keno Juchems, Ben Carrington,
Mona Stylianou, Tobias Hauser, Ross Harper

13.12.2023

LIMBIC RESEARCH

PUBLISHED

Using conversational AI to facilitate mental health assessment and improve clinical efficiencies in psychotherapy services in a large real-world dataset

Max Rollwage, Johanna Habicht, Keno Juchems, Ben Carrington,
Mona Stylianou, Tobias Hauser, Ross Harper

13.12.2023

LIMBIC RESEARCH

PUBLISHED

Using conversational AI to facilitate mental health assessment and improve clinical efficiencies in psychotherapy services in a large real-world dataset

Max Rollwage, Johanna Habicht, Keno Juchems, Ben Carrington,
Mona Stylianou, Tobias Hauser, Ross Harper

Key Takeaways

Key Takeaways

Limbic Access releases clinical time spent on clinical assessments

Limbic Access releases clinical time spent on clinical assessments

Patients using Limbic are seen more quickly and were less likely to drop out

Patients using Limbic are seen more quickly and were less likely to drop out

Patients using Limbic had improved allocation to accurate treatment pathways and improved recovery rates

Patients using Limbic had improved allocation to accurate treatment pathways and improved recovery rates

Providing clinically relevant information ahead of an assessment is critical

Background

Mental health service providers often struggle with increasing demand for their services without a corresponding increase in funding or staffing. To overcome this supply-demand imbalance, providers need to increase efficiencies to cope with the demand. In this study, we test whether artificial intelligence (AI) enabled solutions could enable mental health practitioners to use their time more efficiently, and thus reduce strain on the service and improve patient outcomes.

Methods

The study focused on the use of Limbic Access in the referral and assessment process for the UK's NHS Talking Therapies services. Data was collected from 9 services across England from 64,862 patients. We compared referrals that came through Limbic Access to other types of referrals, such as phone calls and web forms, to see if Limbic Access improved clinical efficiency.

Results

The study found that the use of Limbic Access improves clinical efficiency by reducing the time clinicians spend on mental health assessments. Patients who were referred through Limbic Access were seen more quickly and were less likely to drop out of treatment than those who were referred through other methods. In addition, patients using Limbic Access had improved allocation to accurate treatment pathways and, most importantly, improved recovery rates. When investigating the mechanism by which Limbic Access achieved these improvements, we find that providing clinically relevant information ahead of a clinical assessment was critical for these observed effects.

Reduction in assessment time

12.7 min

Reduction in wait time

5 day

Fewer changes in treatment allocation

45%

Reduction in drop out rates

18%

Conclusions

The results of the study have important implications for mental health service providers looking to improve their services and meet the growing demand for mental health care. By using AI-enabled tools like Limbic Access, providers can work more efficiently and provide better care to their patients.

PRODUCTS FOR SERVICES

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Enable your service with
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Limbic Access

AI powered clinical assessment assistant

Increases self-referrals

Reduces times spent on admin

Releases clinical hours

Limbic Access

AI powered clinical assessment assistant

Increases self-referrals

Reduces times spent on admin

Releases clinical hours

Limbic Care

Generative AI care companion

Improves patient engagement

Delivers educational materials and activities

Reduces dropout and increases recovery

Limbic Care

AI engagement assistant for patients on wait-lists and between sessions

Improves patient engagement

Delivers educational materials and activities

Reduces dropout and increases recovery

Real world evidence,
case studies

Real world evidence,
case studies

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