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International Conference of the Italian Association for Artificial Intelligence

AIxIA 2020: AIxIA 2020 – Advances in Artificial Intelligence pp 372–387Cite as

Management at the Edge of Situation Awareness During Patient Telemonitoring

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12414))

Abstract

The SARS-CoV-2 pandemic has brought unexpected new scenarios in patient-care journeys and has accelerated this innovative process in the healthcare sector, demonstrating the importance of a systemic rethinking of remote care, mostly when patients are discharged from the hospital and continue their therapies at home in autonomy. The possibility to remotely monitor patients at home by means of smart sensors and medical devices has a dramatic impact on the quality of health services. Situation awareness plays an essential role in the decision-making process about the users, patients in this case, and their behaviors. Leveraging an Edge Computing framework, with embedded Artificial Intelligence capabilities to process near real-time data gathered from connected smart devices, would provide automatic decision support, thus improving the physicians’ course of action. In this paper we introduce, within an Edge AI framework, a dedicated module, called Clinical Pathway Adherence Checker (CPAC), which identifies the discrepancies between the modeled clinical pathway and the observed one by means of process mining techniques, and hence detecting early clinical deterioration of patient conditions. Also, further analyses are conducted in the anomaly detection at the Edge that may occur during the health data transmission process.

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Acknowledgements

This work was partially funded by the Italian projects PROSIT (PON 2014–2020 FESR, project code F/080028/01-04/X35, from MISE – Ministero dello Sviluppo Economico).

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Authors and Affiliations

  1. Innovation Lab, Exprivia S.p.A., Via A. Olivetti 11, 70056, Molfetta, Italy

    Corrado Fasciano, Domenico Lofù, Nicola Macchiarulo, Giulio Mallardi, Andrea Pazienza & Felice Vitulano

  2. Polytechnic University of Bari, Via E. Orabona 4, 70125, Bari, Italy

    Carmelo Ardito, Tommaso Di Noia, Corrado Fasciano, Domenico Lofù & Giulio Mallardi

  3. University of Bari Aldo Moro, Via E. Orabona 4, 70125, Bari, Italy

    Nicola Macchiarulo

Authors
  1. Carmelo Ardito
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  2. Tommaso Di Noia
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  3. Corrado Fasciano
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  4. Domenico Lofù
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  5. Nicola Macchiarulo
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  6. Giulio Mallardi
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  7. Andrea Pazienza
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  8. Felice Vitulano
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Corresponding author

Correspondence to Andrea Pazienza .

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Editors and Affiliations

  1. Università degli Studi di Torino, Turin, Italy

    Matteo Baldoni

  2. Department of Informatics, Systems and C, University of Milano-Bicocca, Milan, Italy

    Stefania Bandini

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Ardito, C. et al. (2021). Management at the Edge of Situation Awareness During Patient Telemonitoring. In: Baldoni, M., Bandini, S. (eds) AIxIA 2020 – Advances in Artificial Intelligence. AIxIA 2020. Lecture Notes in Computer Science(), vol 12414. Springer, Cham. https://doi.org/10.1007/978-3-030-77091-4_23

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  • DOI: https://doi.org/10.1007/978-3-030-77091-4_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-77090-7

  • Online ISBN: 978-3-030-77091-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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