Insights & biomarkers
Mental Health Risk
a unique holistic approach to assess the risk of an individual to develop a mental health condition or issue over time a mental health condition is characterized by a relevant disturbance in an individual’s cognition, emotional regulation, or behaviour the mental health risk is a clinically validated biomarker benchmarked to questionnaires to assess the mental health status of the individual in terms of physiological stress and anxiety (phq 9, gad 7, csai 2) how is it calculated? the intelliprove processing engine uses a combination of machine learning informed by selected hrv metrics, facial micro expression patterns and context based reasoning over time to determine the mental health risk this metric lets the user know if their risk of mental health conditions is low, medium, or high compared to their baseline the mental health risk (mhr) is based on an individual's past measurements it is required that the user performs 2 measurements per week for at least 3 weeks in order to obtain a reading for mhr after the second measurement in the third week, the user will receive a score for example week 1 measurement on monday no mhr measurement on wednesday no mhr week 2 measurement on tuesday no mhr measurement on friday no mhr week 3 measurement on monday no mhr measurement on tuesday first score will be displayed it is therefore also essential that you uniquely specify the user taking a health scan, so that we can keep track of their performed measurements the getting started docid\ odjxifncpcgwmttwd6j1c describes how to do this how can it be used? when working preventively, it is crucial to identify potential negative trends while experiencing one bad day may not indicate a high risk of developing a mental health condition, an ongoing series of negative experiences or a long term downward trend can be critical a common example of this is individuals who are on the path to burnout they may start accumulating stress, leading to a decline in sleep quality, and often remain in denial about their feelings until a breaking point occurs with the mental health risk initiative, our aim is to raise awareness among users about the possibility of a breakdown and encourage early intervention 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 can be recommended to schedule a call with a therapist for further support and guidance this risk assessement is the ideal (more objective) biomarker in addition to subjective user reporting insights mental health risk is returned as a part of the output response json, with the key ‘mental health risk’ 174,147,110,311 false false unhandled content type unhandled content type unhandled content type unhandled content type unhandled content type unhandled content type unhandled content type unhandled content type unhandled content type unhandled content type unhandled content type unhandled content type unhandled content type unhandled content type unhandled content type unhandled content type unhandled content type unhandled content type unhandled content type unhandled content type