Her work focuses on how people make decisions in their daily practice and how technology can be applied in a supportive and appropriate way. With a background in information management and psychology, she combines analytical thinking with attention to human behaviour. She is dedicated to translating complex information into clear and actionable insights, enabling professionals to work with greater confidence and clarity.
In her doctoral research, Maud investigates how careful collaboration between humans and technology can be established. She explicitly does not focus on clinical decision-making, but on strategic and managerial choices within physiotherapy practices.
She examines how practice owners and consultants can be better supported in addressing issues such as financial performance, organisational development, and the long-term sustainability of their practices. Specifically, she explores how different types of information—such as business data, sector developments, and professional experience—can be combined to support more well-founded decision-making.
The aim of her research is to understand how technology can assist in collecting and analysing this information, and how people can translate these insights into decisions that strengthen both the quality of care and organisational continuity. Based on this, she works towards developing a practical tool that supports this decision-making process.
Expertises
- Application of Artificial Intelligence
- Implementation of data driven decision making
- Implementation of smart technologies in business processes