It pays to work preventively with sick leave, for both the employer and the employees. MedHelp’s AI model is trained to effectively and with great accuracy predict if an employee may be at risk of long-term sick leave before it occurs.
Our AI helps employers detect ill health at an early stage
Providing support when an employee shows early signs of health problems is critical to improving health and reducing sick leave. MedHelp’s AI model can identify on the first day of illness if an employee is showing early signs of long-term sickness. This makes it easy for the employer to support the employee with the right measures in time.
AI-powered precision
The AI model identifies employees with early signs of long-term sickness with 25% greater accuracy than rule-based assumptions, such as repeated absences.
The AI is trained on health data based on demographics and historical absenteeism, using three million unique data points from over 200,000 users going back three years. Data includes gender, age, and past absence patterns.
Using similar data and knowledge of past results, the model is trained to build a picture of the employee across multiple dimensions, all representing the person over time.
Based on the picture created in step 2, the AI can assess the likelihood that the employee will end up on long-term sick leave within six months.
Once the AI has identified an individual with early signs of health problems, a health promotion case is automatically created and the manager receives a reminder and recommendation to start health promotion work.
The AI is trained on health data based on demographics and historical absenteeism, using three million unique data points from over 200,000 users going back three years. Data includes gender, age, and past absence patterns.
Using similar data and knowledge of past results, the model is trained to build a picture of the employee across multiple dimensions, all representing the person over time.
Based on the picture created in step 2, the AI can assess the likelihood that the employee will end up on long-term sick leave within six months.
Once the AI has identified an individual with early signs of health problems, a health promotion case is automatically created and the manager receives a reminder and recommendation to start health promotion work.
Our health platform provides smooth, secure and data-driven management of sick leave and rehabilitation issues, and uses AI to signal early signs of health problems. This allows companies to prevent and reduce long-term sick leave by up to 50%.
These are some of the benefits of using MedHelp:
Identifying early signs of ill health with AI is a method that uses artificial intelligence to analyse health data to detect early signs of long-term sickness absence in an individual.
Identification of early signs of ill health with AI uses algorithms to analyse data from different sources and identify patterns that may indicate early signs of ill health. These patterns can then be used to provide managers with recommendations on health promotion interventions to prevent ill health and work preventively with employees.
Identifying early signs of ill health with AI can help detect ill health at an early stage, which can increase the chances of preventing employee sick leave.
The model collects available data on the individual's historical sickness absence. This can include gender, age, and previous absence patterns. Given this information, the AI model builds a 63-dimensional picture that represents this information over time. The model is trained with similar data with known outcomes about each individual and can now evaluate the new individual's likelihood of falling into long-term sickness absence in the near future. When an individual with early signals is identified, a recommendation for a health promotion intervention is sent to the manager.
MedHelp Care Aktiebolag (publ)
Ynglingagatan 14
113 47 Stockholm
Sweden
+46 8-528 528 00
info@medhelpcare.com
