According to the World Health Organization (WHO) after the pandemic, cases of anxiety and depression globally they have grown by 25%. Which is why several developers are pushing technologies to minimize those figures.
Currently, there is talk of software that allows prediction and monitoring of people’s health based on symptom data to determine almost six months if they suffer from anxiety, depression, work stress, among other mental illnesses.
“This allows people to take a route of individual well-being in front of a psychologist and from there start a treatment, but it also helps to identify the roots of their problems and the way in which they are affecting their day-to-day life long before they occur. they would have said they had a mental health problem,” he said. Juan David Gutierrez CEO and founder of HealthTech MedByte.
For this creation, the artificial intelligence of Amazon and Google and from there the training of the software began with thousands of mental health data.
The work approach is directly related to companies. Initially they had an approach with health entities to evaluate the situation of the doctors, but over time companies from sectors such as technology, energy, services and even video games have been added, where support has been provided during the final phases of game development when there is greater stress and shifts of more than 12 hours of work.
One of the cases that evidences the performance of the AI was with a company with 100 employees, in which they found a high risk rate of mental well-being in the sales area, where the percentages were around 35% when the average must be between 5% or 9%.
“That’s where we said they need to start taking steps to help those people with a wellness pathway and they actually hadn’t seen the impact of these mental health issues in terms of business, but when you talk to people in sales, everyone knew there was a problem,” said the specialist.
How does this artificial intelligence work?
The tool analyzes 72 clinical, emotional, sociodemographic and situational variables to identify risk, which becomes a prediction to detect possible symptoms of anxiety, depression, work stress, suicide, personality and eating disorders, self-harm and physical damage to others.
Obtaining this data is done personally with each employee and then it is integrated with artificial intelligence to obtain the results, thanks to the “development of neural networks, cloud computing, and the vast amount of data now being collected.”
The next step in the process is to communicate the results to the chatbot to establish the urgency in which the case must be attended to. Subsequently, the analysis is received by a mental health professional (psychologist and psychiatrist) to make the final diagnosis to start treatment with home visits, appointments, support groups, among others.
“We have to learn to be aware of our well-being and that if work is not helping us feel better, we should talk about it because this is an important issue. It is a matter of learning to understand the importance of emotional and mental well-being as a fundamental part of all our health”, he concluded. Gutierrez.