User-Centered Design of Pervasive Healthcare Applications.

Research Article

User-driven design of a context-aware application: an ambient-intelligent nurse call system

Download861 downloads
  • @INPROCEEDINGS{10.4108/icst.pervasivehealth.2012.248699,
        author={Femke Ongenae and Pieter Duysburg and Mathijs Verstraete and Nicky Sulmon and Lizzy Bleumers and An Jacobs and Ann Ackaert and Saar De Zutter and Stijn Verstichel and Filip De Turck},
        title={User-driven design of a context-aware application: an ambient-intelligent nurse call system},
        proceedings={User-Centered Design of Pervasive Healthcare Applications.},
        keywords={user-driven ontology context-aware ambient-intelligent nurse call system reasoning workshop methodology participatory},
  • Femke Ongenae
    Pieter Duysburg
    Mathijs Verstraete
    Nicky Sulmon
    Lizzy Bleumers
    An Jacobs
    Ann Ackaert
    Saar De Zutter
    Stijn Verstichel
    Filip De Turck
    Year: 2012
    User-driven design of a context-aware application: an ambient-intelligent nurse call system
    DOI: 10.4108/icst.pervasivehealth.2012.248699
Femke Ongenae1,*, Pieter Duysburg2, Mathijs Verstraete3, Nicky Sulmon3, Lizzy Bleumers2, An Jacobs2, Ann Ackaert1, Saar De Zutter4, Stijn Verstichel1, Filip De Turck1
  • 1: Ghent University - IBBT
  • 2: Brussels University (VUB) - IBBT
  • 3: K.U. Leuven - IBBT
  • 4: Televic Healthcare
*Contact email:


The envisioned ambient-intelligent patient room contains numerous devices to sense and adjust the environment, monitor patients and support caregivers. Context-aware techniques are often used to combine and exploit the heterogeneous data offered by these devices to improve the provision of continuous care. However, the adoption of context-aware applications is lagging behind what could be expected, because they are not adapted to the daily work practices of the users, a lack of personalization of the services and not tackling problems such as the need of the users for control. To mediate this, an interdisciplinary methodology was investigated and designed in this research to involve the users in each step of the development cycle of the context-aware application. The methodology was used to develop an ambient-intelligent nurse call system, which uses gathered context data to find the most appropriate caregivers to handle a call of a patient and generate new calls based on sensor data. Moreover, a smartphone application was developed for the caregivers to receive and assess calls. The lessons learned during the user-driven development of this system are highlighted.