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Title: | Fostering Decision-Making Processes in Health Ecosystems Through Visual Analytics and Machine Learning |
Authors: | García-Peñalvo, F. J. Vázquez-Ingelmo, A. García-Holgado, A. |
Keywords: | Domain engineering SPL Meta-modeling Information dashboards Information systems Health domain Healthcare |
Issue Date: | 26-Jun-2022 |
Publisher: | Springer |
Citation: | García-Peñalvo, F. J., Vázquez-Ingelmo, A., & García-Holgado, A. (2022). Fostering Decision-Making Processes in Health Ecosystems Through Visual Analytics and Machine Learning. In P. Zaphiris & A. Ioannou (Eds.), Learning and Collaboration Technologies: Designing the Learner and Teacher Experience. 9th International Conference, LCT 2022, Held as Part of the 24th HCI International Conference, HCII 2022. Virtual Event, June 26 – July 1, 2022. Proceedings, Part II (pp. 262–273). Springer Nature. https://doi.org/10.1007/978-3-031-05675-8_20 |
Abstract: | Data-intensive contexts, such as health, use information systems to merge, synthesize, represent, and visualize data by using interfaces to ease decision-making processes. All data management processes play an essential role in exploiting data’s strategic value from acquisition to visualization. Technologi-cal ecosystems allow the deployment of highly complex services while supporting their evolutionary nature. However, there is a challenge regarding the design of high-level interfaces that adapt to the evolving nature of data. The AVisSA project is focused on tackling the development of an automatic dashboard generation system (meta-dashboard) using Domain Engineering and Artificial Intelligence techniques. This approach makes it possible to obtain dashboards from data flows in technological ecosystems adapted to specific domains. The implementation of the meta-dashboard will make intensive use of user experience testing throughout its development, which will allow the involvement of other actors in the ecosystem as stakeholders (public administration, health managers, etc.). These actors will be able to use the data for decision-making and design improvements in health provision. |
URI: | http://repositorio.grial.eu/handle/grial/2992 |
ISBN: | 978-3-031-05656-7 |
Appears in Collections: | Publications |
Files in This Item:
File | Description | Size | Format | |
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Fostering-post.pdf | Article | 202,82 kB | Adobe PDF | View/Open |
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