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oai:gredos.usal.es:10366/1538262025-12-12T08:44:32Zcom_10366_4549com_10366_4512com_10366_3823col_10366_4550

García-Peñalvo, Francisco J. Vázquez Ingelmo, Andrea García-Holgado, Alicia Domain engineering SPL Meta-modeling Information dashboards Information systems Healthcare Health domain 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. Technological 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 allowthe 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. 2023-12-05 2023-12-05 2022 info:eu-repo/semantics/article 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 0302-9743 http://hdl.handle.net/10366/153826 10.1007/978-3-031-05675-8_20 1611-3349 eng PID2020-118345RB-I00 http://creativecommons.org/licenses/by-nc-sa/4.0/ info:eu-repo/semantics/openAccess Atribución-NoComercial-CompartirIgual 4.0 Internacional