The EmoRisk system is based on the detection of daily emotions of employees (or athletes in sport organizations) when entering and leaving their workplace, providing a daily and monthly report, in addition to highlighting daily alerts or significant changes in the emotions, mental health and feelings of collaborators, allowing Organizations identify the factors or foci that generate high levels of risk in employees, avoiding negative effects such as mental health problems, accidents or occupational diseases.
EmoRisk: is the first and unique technology to detect psychosocial risks in employees, allowing organizations to manage and control each alert or risk case in real-time (location of emotions, stress, mental load, detection of different states such as Burnout in 4 levels, depression in 4 levels and more). In addition, the solution verifies and controls the time of attendance of the employees.
EmoRisk shows 14 psychosocial factors:
1. Energy
2. Happiness
3. Anger
4. Stress
5. Excitment
6. Sadness
7. Mental Load
8. Discomfort
9. Confidence
10. Extreme Emotions
11. Emotional Stress
12. Dissatisfaction
13. Burnout or burnout syndrome
14. Depression
Through this monitoring and detection, organizations will have the possibility to:
- Identify and detect psychosocial factors that require prevention or intervention.
- Progressively know the psychosocial conditions of workers, from a broader perspective and human approach.
- Generate effective and focused plans for Psychosocial intervention.
- Better analysis and interpretation of the current emotional state.
- Better decision-making when intervening.
- Mitigate in real-time alert cases that generate risks.
- Comply with the legal requirements of your country in the framework of psychosocial risk, avoiding sanctions.
- Possibility of including all the demographic variables of the company.
- Efficient, timely, and accurate results for optimal risk management.
- Improve communication and interpersonal relationships within the organization.
- Improve employee loyalty and sense of belonging.
- Achieve better work results in teams.
- Improve productivity.
- Decrease absenteeism.
- Decrease staff turnover.
- Detect positive and negative leaders.
- Improve the employee-employer relationship.
- Check entry and exit assistance times.
EmoRisk: is the first and unique technology to detect psychosocial risks in employees, allowing organizations to manage and control each alert or risk case in real-time (location of emotions, stress, mental load, detection of different states such as Burnout in 4 levels, depression in 4 levels and more). In addition, the solution verifies and controls the time of attendance of the employees.
EmoRisk shows 14 psychosocial factors:
1. Energy
2. Happiness
3. Anger
4. Stress
5. Excitment
6. Sadness
7. Mental Load
8. Discomfort
9. Confidence
10. Extreme Emotions
11. Emotional Stress
12. Dissatisfaction
13. Burnout or burnout syndrome
14. Depression
Through this monitoring and detection, organizations will have the possibility to:
- Identify and detect psychosocial factors that require prevention or intervention.
- Progressively know the psychosocial conditions of workers, from a broader perspective and human approach.
- Generate effective and focused plans for Psychosocial intervention.
- Better analysis and interpretation of the current emotional state.
- Better decision-making when intervening.
- Mitigate in real-time alert cases that generate risks.
- Comply with the legal requirements of your country in the framework of psychosocial risk, avoiding sanctions.
- Possibility of including all the demographic variables of the company.
- Efficient, timely, and accurate results for optimal risk management.
- Improve communication and interpersonal relationships within the organization.
- Improve employee loyalty and sense of belonging.
- Achieve better work results in teams.
- Improve productivity.
- Decrease absenteeism.
- Decrease staff turnover.
- Detect positive and negative leaders.
- Improve the employee-employer relationship.
- Check entry and exit assistance times.
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