Schobel, Johannes and Probst, Thomas and Reichert, Manfred and Schickler, Marc and Pryss, Rüdiger (2019) Enabling Sophisticated Lifecycle Support for Mobile Healthcare Data Collection Applications. IEEE Access, 7 . pp. 61204-61217. ISSN 2169-3536
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Abstract
The widespread dissemination of smart mobile devices enables new ways of collecting longitudinal data sets in a multitude of healthcare scenarios. On the one hand, mobile data collection can be accomplished more effectively and quicker compared with validated paper-based instruments. On the other hand, it can increase the data quality significantly and enable data collection in scenarios not covered by existing approaches so far. Previous attempts to utilize smart mobile devices for collecting data in these scenarios, however, often struggle with high costs for developing and maintaining mobile applications, which need to run on a multitude of mobile operating systems. Therefore, in the QuestionSys project, we are developing a generic (i.e., platform-independent) framework for enabling mobile data collection and sensor data integration in healthcare scenarios. The latter, in turn, is addressed by a model-driven approach, which is shown this paper along with the core components of the QuestionSys framework. In particular, it is shown how healthcare experts are empowered to create mobile data collection and sensing applications on their own and with reasonable efforts.
Item Type: | Article |
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Subjects: | DBIS Research > Publications |
Divisions: | Faculty of Engineering, Electronics and Computer Science > Institute of Databases and Informations Systems > DBIS Research and Teaching > DBIS Research > Publications |
Depositing User: | Ruediger Pryss |
Date Deposited: | 09 Jun 2019 21:21 |
Last Modified: | 12 Mar 2020 20:42 |
URI: | http://dbis.eprints.uni-ulm.de/id/eprint/1780 |