Metrics

Mental Health Risk

The Mental Health Risk metric offers a comprehensive, holistic approach to evaluating an individual’s potential risk of developing a mental health condition over time. Such conditions are characterised by significant disturbances in cognition, emotional regulation, or behaviour.
This metric is a clinically validated benchmark that aligns with standard assessments like the PHQ-9, GAD-7, and CSAI-2 questionnaires, focusing on physiological markers of stress and anxiety.
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How is it calculated?
IntelliProve’s processing engine uses machine learning informed by HRV metrics, facial micro-expressions, and context-based reasoning to assess Mental Health Risk. By comparing these factors over time, the metric provides a risk level of low, medium, or high relative to the user’s baseline.
When is it available?
To receive an initial reading, users must complete at least two Face Scans per week for three consecutive weeks. The first score will be available after the second Face Scan in the third week.
Example timeline with Face Scans:
Week 1: Monday & Wednesday - No MHR available yet.
Week 2: Tuesday & Friday - No MHR available yet.
Week 3: Monday & Tuesday - First MHR score displayed on Wednesday
How can it be used? 
The Mental Health Risk metric is particularly valuable in preventive care by identifying negative trends early. While one bad day doesn’t imply a high Mental Health Ris, a continuous series of negative days or a prolonged decline may signal potential issues, such as burnout.
By providing a risk score, IntelliProve raises awareness about potential concerns, helping users recognize early signs and encouraging timely intervention. In cases of high risk, users could be advised to consult with a mental health professional for further support. This objective biomarker complements subjective self-reporting, offering a fuller picture of the user’s mental health status.
Providing users with a risk score will raise awareness about potential concerns, such as moving towards a long-term absence. When a high risk is detected, users could be recommended to schedule a call with a therapist or coach for further support and guidance. 
This risk assessement is the ideal, more objective  in addition to subjective user reporting.
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Interpreting results
Mental Health Risk is returned as a value from 0 to 3 and can be requested as a Widget﻿ or via the Rest API﻿.
Output
Definition
Example Color Indicator
Example User Text
1
Low mental health risk
Green
You have a lower risk of mental health conditions.
2
Medium mental health risk
Yellow
You have a medium risk of mental health conditions.
3
High mental health risk
Red
You have a higher risk of mental health conditions. We recommend that you pursue a further discussion of your situation with a physician or mental health provider.
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Output	Definition	Example Color Indicator	Example User Text
1	Low mental health risk	Green	You have a lower risk of mental health conditions.
2	Medium mental health risk	Yellow	You have a medium risk of mental health conditions.
3	High mental health risk	Red	You have a higher risk of mental health conditions. We recommend that you pursue a further discussion of your situation with a physician or mental health provider.

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