PlanWijzer
AI & Data
Semester programme:Minor AI for Society
Research group:Sustainable Data & AI Application
Project group members:Oosterwijk,Jordi J.J.W. van
Broek,Thijs T.G.H. van den
Kwaspen,Jé-Julie J.M.R.
Govers,Jens J.
Teulings,Julian J.R.A.
Project description
The main challenge of this project was to improve the scheduling process for Kempenhaeghe’s day-care activities. The existing planning process relied heavily on manual adjustments and needed to remain flexible when residents or staff were unavailable.
Our goal was to investigate how AI and digital tools could support employees in creating and modifying daily schedules more efficiently while maintaining clarity and stability for residents. To address this challenge, we analyzed the current workflow, identified user requirements through stakeholder feedback, and designed and tested an interactive prototype. The project focused on balancing technical feasibility, usability, and the practical needs of a healthcare environment.
Context
This project was carried out in the healthcare sector and focused on improving the planning of daily activities for residents in a care facility. Staff had to manually create and adjust schedules based on available supervisors, activities, rooms, and residents.
Because schedules often changed due to absences or other unexpected situations, planning could be time-consuming and difficult to manage. The project explored how a digital tool with AI support could help staff create and modify schedules more efficiently while keeping the process clear and easy to use.
Results
The main result of the project was an interactive prototype of a scheduling tool that supports staff in planning daily activities. To develop the prototype, we first analysed the current planning process and gathered feedback from potential users. Based on these insights, we designed and tested several concepts before creating a working prototype.
The tool provides an overview of activities, staff, residents, and available resources, making it easier to adjust schedules when changes occur. Besides the prototype, the project also delivered insights into how AI could be used to support planning tasks in a healthcare environment and recommendations for future implementation and development.
About the project group
Our project group consisted of five students from different educational backgrounds, including ICT, Business Administration, and Human Resource Management. We worked on an AI-supported scheduling tool for Kempenhaeghe to improve the planning process for day-care activities.
The project was carried out using the Scrum methodology, where we worked in short sprints, gathered feedback from stakeholders, and continuously improved our prototype. By combining technical, organizational, and user-focused expertise, we successfully developed and tested a practical solution to support employees in creating and adjusting daily schedules