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ACSIS: Αn Intelligent Medical System for Improving the Pre-hospital Healthcare Process

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Wireless Internet (WiCON 2023)

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Abstract

The purpose of this research article is to present an online intelligent pilot medical system designed to support the existing Greek pre-hospital medical care system. The proposed system effectively dispatches the available ambulances when an incident occurs and provides high quality medical services to the patients as well as transportation to the appropriate hospital. The evaluation of the proposed system, benchmarked via the paired t-test statistical tests and using the TIBCO business studio, shows a significant performance improvement on both the overall time to respond and the associated costs.

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Notes

  1. 1.

    https://thorcom.uk/products/mobilize/mobilize-mdt/ (accessed 02/12/2022).

  2. 2.

    https://prioritydispatch.net/marketing-resource/ASSETS/PDFS/MPDSCatalog140114_English.pdf (accessed 02/12/2022).

  3. 3.

    https://www.ems1.com/ems-products/epcr-electronic-patient-care-reporting/ (accessed 02/12/2022).

  4. 4.

    The UML sequence diagram of ACSIS is provided in the following link: https://bit.ly/3rxfsue.

  5. 5.

    The image “Interface of the mobile application” is provided in the following link: https://bit.ly/3LJCnt9.

  6. 6.

    The image “Hospital locations and route for reaching the patient” is provided in the following link: https://bit.ly/46AB5Jf.

  7. 7.

    The image “Medical diagnosis button” is provided in the following link: https://bit.ly/3Q0HUhL.

  8. 8.

    The image “Screens for Heart Rate and Respiration Rate” is provided in the following link: https://bit.ly/46a8cnn.

  9. 9.

    The survey data are provided in the following link: https://bit.ly/3REfgUI.

  10. 10.

    The image “The health benefit from the adoption of ACSIS between Ambulance drivers/Rescuers” is provided in the following link: https://bit.ly/3EZVbAK.

  11. 11.

    The image “On time transportation and effective provision of medical care” is provided in the following link: https://bit.ly/3LHCLIG.

  12. 12.

    The image “Efficient resource allocation after ACSIS” is provided in the following link: https://bit.ly/45dErQY.

  13. 13.

    The image “The arrival of the ambulance times at the scene of the incident before ACSIS” is provided in the following link: https://bit.ly/46ADcwF.

  14. 14.

    The image “The arrival of the ambulance at the scene of the incident after ACSIS” is provided in the following link: https://bit.ly/46vtsn9.

  15. 15.

    The image “The provision of immediate diagnostics before ACSIS” is provided in the following link: https://bit.ly/3ZEBCHI.

  16. 16.

    The image “The provision of immediate diagnostics after ACSIS” is provided in the following link: https://bit.ly/3PKS7xw.

  17. 17.

    The statistical results are displayed in the following link: https://bit.ly/468IuQb.

  18. 18.

    The diagram “The ambulance Consulting Services application’s process before ACSIS” is provided in the following link: https://bit.ly/3ZCJ0TW.

  19. 19.

    The image “Available Ambulances” is provided in the following link: https://bit.ly/3terCJ0.

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Acknowledgment

This work has been co-financed by Greece and the European Union (European Regional Development Fund-ERDF) through the Regional Operational Program “Attiki” 2014–2020.

Author information

Authors and Affiliations

  1. University of Piraeus, Piraeus, Greece

    Petros Valacheas & Christos Douligeris

  2. Ionian University, Lefkada, Greece

    Sarandis Mitropoulos

Authors
  1. Petros Valacheas
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  2. Sarandis Mitropoulos
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  3. Christos Douligeris
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Corresponding author

Correspondence to Petros Valacheas .

Editor information

Editors and Affiliations

  1. Edinburgh Napier University, Edinburgh, UK

    Leandros A. Maglaras

  2. University of Piraeus, Piraeus, Greece

    Christos Douligeris

Appendix

Appendix

(See Tables 3 and 4).

Table 3. The simulation of the ACSIS process.
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Table 4. The second simulation case using ACSIS
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Valacheas, P., Mitropoulos, S., Douligeris, C. (2024). ACSIS: Αn Intelligent Medical System for Improving the Pre-hospital Healthcare Process. In: Maglaras, L.A., Douligeris, C. (eds) Wireless Internet. WiCON 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 527. Springer, Cham. https://doi.org/10.1007/978-3-031-58053-6_5

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  • DOI: https://doi.org/10.1007/978-3-031-58053-6_5

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