Mental Health AI is currently only available to our Early Adopter sites. If you'd like to become an Early Adopter site please let us know through the 'Give feedback' button when logged into Patchs.
What is Mental Health AI?
Mental Health AI identifies patient requests relating to mental health problems. As soon as requests are submitted by a patient, PATCHS flags whether or not it thinks the request is related to mental health, suggests a SNOMED code to be filed with the request into EMIS, and asks the patient to complete a GAD-7 (for anxiety) and PHQ-9 (for depression) questionnaire.
How does Mental Health AI work?
PATCHS AI Mental Health works in a similar way to PATCHS AI Triage: it analyses patient requests using Deep Learning, which is a kind of Machine Learning. It is not a simple keyword search, or inflexible clinical guideline algorithm.
What should I do if I see a suggestion from Mental Health AI?
If you agree with the suggestion made by PATCHS then there's no need to do anything - just process the request as you would normally.
If you disagree with the suggestion made by PATCHS you should simply delete the suggested SNOMED code. Because PATCHS is constantly learning, this will help it correct its mistakes in future.
What are the benefits of Mental Health AI?
Without PATCHS AI Mental Health, clinicians would need to identify the medical condition and add the SNOMED code to EMIS manually. Advantages of PATCHS doing this instead are that PATCHS:
- Speeds up the consultation process by asking patients to complete PHQ-9 and GAD-7 questionnaires immediately
- Reduces workload because questionnaires don't need to be assigned manually, and can help in eliciting a full history
- Improves care quality by ensuring that all anxiety and depression requests get assessed in a standardised, comprehensive way