Abstract
The healthcare sector is rapidly changing to incorporate new technologies Antoni that enable the collection of unprecedented amounts of data. New paradigms such as mobile and smart healthcare are founded on these new technologies, such as the IoT, and the data they collect are no longer only medical but, instead, they refer to contextual information with spatio-temporal features. Also, new data processing techniques, such as process mining, are gaining attention and are reshaping the landscape of healthcare information systems. In this article, we concentrate on Geographic Information Systems and propose HGIS: a comprehensive, healthcare-oriented, GIS architecture to support the integration of heterogeneous data with spatio-temporal features. Moreover, we comment on initial results obtained from a proof-of-concept implementation developed by Xarxa Sanitària i Social de Santa Tecla, a large healthcare provider in the south of Catalonia.
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Notes
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Roger Tomlinson, 1967.
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A large healthcare provider in the south of Catalonia, comprised by several hospitals and points of care.
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Extraction, transformation and loading.
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Acknowledgements
This work is supported by Generalitat de Catalunya projects 2017-SGR-896 and 2017-DI-002, and by Universitat Rovira i Virgili project 2017PFR-URV-B2-41.
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Batista, E., Martínez-Ballesté, A., Peña, M., Singla, X., Solanas, A. (2019). HGIS: A Healthcare-Oriented Approach to Geographic Information Systems. In: Saponara, S., De Gloria, A. (eds) Applications in Electronics Pervading Industry, Environment and Society. ApplePies 2018. Lecture Notes in Electrical Engineering, vol 573. Springer, Cham. https://doi.org/10.1007/978-3-030-11973-7_8
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