HGIS: A Healthcare-Oriented Approach to Geographic Information Systems

  • Edgar Batista
  • Antoni Martínez-Ballesté
  • Marta Peña
  • Xavier Singla
  • Agusti SolanasEmail author
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 573)


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.


GIS Electronic healthcare records Context-awareness Smart healthcare Healthcare management Process mining 



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.


  1. 1.
    Batista, E., Solanas, A.: Process mining in healthcare: a systematic review. In: 9th International Conference on Information, Intelligence, Systems and Applications (IISA), pp. 1–6. IEEE (2018)Google Scholar
  2. 2.
    Graves, B.A.: Integrative literature review: a review of literature related to geographical information systems, healthcare access, and health outcomes. Perspect. Health Inf. Manag. 5, 11 (2008)Google Scholar
  3. 3.
    Lyseen, A.K., Nøhr, C., Sørensen, E.M., Gudes, O., Geraghty, E.M., Shaw, N.T., et al.: A review and framework for categorizing current research and development in health related geographical information systems (GIS) studies. Yearb. Med. Inform. 23(1), 110–124 (2014)CrossRefGoogle Scholar
  4. 4.
    Papageorgiou, A., Strigkos, M., Politou, E., Alepis, E., Solanas, A., Patsakis, C.: Security and privacy analysis of mobile health applications: the alarming state of practice. IEEE Access 6, 9390–9403 (2018)CrossRefGoogle Scholar
  5. 5.
    Riano, D., Solanas, A.: Exploiting the relation between environmental factors and diseases: a case study on chronic obstructive pulmonary disease. In: Workshop on Knowledge Representation for Health-Care Data, Processes and Guidelines, KR4HC 2014, pp. 160–173 (2014)Google Scholar
  6. 6.
    Solanas, A., Casino, F., Batista, E., Rallo, R.: Trends and challenges in smart healthcare research: a journey from data to wisdom. In: 3rd International Forum on Research and Technologies for Society and Industry (RTSI), pp. 1–6. IEEE (2017)Google Scholar
  7. 7.
    Solanas, A., Patsakis, C., Conti, M., Vlachos, I.S., Ramos, V., Falcone, F., et al.: Smart health: a context-aware health paradigm within smart cities. IEEE Commun. Mag. 52(8), 74–81 (2014)CrossRefGoogle Scholar
  8. 8.
    Waters, N.: GIS: history. In: International Encyclopedia of Geography, pp. 1–13 (2018)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Edgar Batista
    • 1
  • Antoni Martínez-Ballesté
    • 2
  • Marta Peña
    • 3
  • Xavier Singla
    • 3
  • Agusti Solanas
    • 2
    Email author
  1. 1.SIMPPLE, S.L.TarragonaSpain
  2. 2.Smart Health Research GroupUniversitat Rovira i VirgiliCataloniaSpain
  3. 3.Xarxa Sanitària i Social Santa TeclaTarragonaSpain

Personalised recommendations