Towards Adaptability of Just-in-Time Adaptive Interventions

S. Gruber, B. Neumayr, S. Reich, J. Niebauer, J. Smeddinck
Neum22b (2022)
Proceedings of the 16th Annual Conference on Health Informatics meets Digital Health (dHealth 2022), May 24-25, 2022, Vienna, Austria, Studies in Health Technology and Informatics, Vol. 293, IOS Press, pp. 169-170, DOI: 10.3233/SHTI220364, 2022.

Kurzfassung (Englisch)

Just-in-time adaptive interventions (JITAIs) can promote behavior change in patients. It was the aim of our study to make JITAIs adaptable, i.e., to configure JITAIs for different purposes and to personalize them for different participants, whilst enabling central maintenance and integrated data analysis across deployments and individuals. We present a concept for adaptable JITAIs that was created following a design science approach. It builds on multi-level conceptual modeling and knowledge graphs and will be evaluated in user studies.