This custom solution digitalizes the process of collecting medical questionnaires by enabling parents to submit forms online through a secure platform. Staff can access the submitted data instantly, eliminating manual input.
Client name CLB
Industry Education
Technology Spring Boot, Angular, AWS
Location Brussels, Belgium
Team size 5
Project duration 2024 – ongoing
The client
Centrum voor Leerlingenbegeleiding (CLB) is an institution that partners with every accredited school in Flanders (Belgium) to support students in terms of learning and studying, educational career guidance, preventive health care and psychosocial well-being.
Client Challenge
Each year CLBs collect medical questionnaires for children enrolled in schools that are within their jurisdiction. The process was done manually: CLB workers would bring medical forms to schools and later collect them once the children’s parents had filled them in. After that, the CLB workers had to manually input the information into their system which was very time-consuming and inefficient.
Full digitalization of the process for collecting medical questionnaires from parents and making them accessible to CLB workers
An upgradeable platform for new functionalities and the first step towards introducing parents to other CLB platforms
Parents access the platform and verify their identity through an SSO integration with eID and by entering their child’s social security identification number, allowing the system to confirm the child’s school enrollment.
Once a questionnaire is submitted, CLB employees receive a notification and can directly access the completed form, eliminating the need for manual data entry.
AWS cloud services ensured high availability, reduced infrastructure costs, and accelerated platform development.
The new process for submitting and accessing medical questionnaires is now fully paperless
The process saves time for both parents and CLB workers
With the questionnaires now being filled out digitally, the risk of errors caused by manual input is significantly reduced
