Identify early signs with AI
It pays to work preventively with sick leave, for both employers and employees. MedHelp’s AI model is trained to identify, efficiently and with high accuracy, whether an employee is at risk of long-term sick leave before it develops.
The AI feature is part of MedHelp’s Health Platform – seamlessly integrated with absence management and rehab support.
Long-term sick leave accounts for 60% of all sick leave days.
MedHelp’s AI identifies these risks at an early stage.
Early identification of risk
The AI model analyses absence patterns to identify employees who may be at risk of long-term sick leave.
Automatic reminders
Early prompts and recommended actions give managers practical support to act in time and work preventively with employee health.
20% better accuracy than standard practice
The AI model identifies employees who may be at risk of long-term sick leave with 20 per cent greater accuracy than rule-based methods, such as tracking repeated short-term absence.
Our AI helps employers identify ill health at an early stage
Acting when an employee shows early signs of ill health is key to improving health and reducing sick leave.
From the first day of sickness absence, the AI model can identify employees who may be at risk of long-term sick leave, helping employers provide the right support in good time.
Built on three million unique data points from 200,000 users over three years, the AI model analyses patterns in demographics and sick leave history to identify employees who may be at risk of long-term sick leave. Managers receive automatic notifications and recommended actions, making it easier to act in time with the right support.
Frequently asked questions
MedHelp’s AI analyses absence patterns and identifies early signals that may indicate an increased risk of long-term sick leave. The model is built on millions of data points and analyses several factors at the same time, giving it greater accuracy than traditional rules such as repeated short-term absence.
When the AI identifies an employee with an increased risk, the responsible manager receives a recommendation to act. The manager then starts a health-promoting case, where the first step is a supportive conversation with the employee. The platform then helps the manager document, follow up and ensure that no important steps are missed.
No. The AI is a decision support tool that helps managers detect early signs of ill health. It is always the manager who decides whether and how a recommendation should be followed up, based on the dialogue with the employee and the situation at hand.
Traditional rules are often based on individual criteria, such as repeated short-term absence. MedHelp’s AI analyses several different factors at the same time and identifies risks earlier and with greater accuracy. This gives managers better conditions for taking the right action before sick leave becomes long-term.
Meets the highest security standards
MedHelp is built for organisations that set high standards for security and data protection. Our processes, systems and ways of working are designed to protect sensitive information and create confidence for both employers and employees.
ISO 27001
GDPR
SWEDEN
SFTP
Everything you need to manage sick leave – in one platform
Help managers identify early signs of ill health and take action before sick leave becomes long-term. This makes it easier to work preventively and support employees at the right time.
Experienced nurses provide employees with advice and support when they are sick or need to care for a child. This takes pressure off managers and helps employees make informed decisions about care and absence.
Using AI, MedHelp identifies early signs of ill health and the risk of prolonged sick leave. This enables HR and managers to act early, before short-term sick leave develops into long-term absence.
Bring more structure to rehabilitation cases, with support throughout the process. The platform helps HR and managers follow up on activities and meet their rehabilitation obligations.
Clear statistics and visual insights help you quickly identify risks and see which parts of the organisation need attention. By tracking trends, patterns and key metrics, it becomes easier to make data-driven decisions.
Give employees quick access to a doctor, psychologist or physiotherapist when they report sick leave. This provides timely support and can help them return to work faster.
Want to see how the platform works in practice?
We'll show you how MedHelp can help your organisation.