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International Workshop on Artificial Intelligence in Health

AIH 2018: Artificial Intelligence in Health pp 13–28Cite as

Multiagent Systems to Support Planning and Scheduling in Home Health Care Management: A Literature Review

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11326))

Abstract

Ensuring sustainable care-giving systems with a focus on human needs and desires is a major challenge. An increasing demand in home health care as well as a limited number of professionals in the labor market have led to a call for efficiency. Thus, managing existing resources has gained relevance. The overall goal is high quality care services, while ensuring economic viability. At the same time, there is a need for modern customer-friendly solutions as well as the consideration of employees’ preferences. To achieve this, adequate methods are needed that take current and future developments into account. Operational management processes in terms of planning and scheduling can be supported by multiagent systems as well as decision support systems using agent-based simulation. The aim of this work is to provide an overview of these solutions in the domain of home health care systems. To this end, we conducted a systematic literature review in which 11 relevant approaches were identified. In addition, these publications were analyzed to identify deficiencies and compared to each other. Because none of the approaches offers a sufficient solution, future work will focus on dynamic distributed scheduling for the control of operational processes which increases efficiency and improves the use of limited resources.

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Author information

Authors and Affiliations

  1. Business Informatics I, Trier University, Behringstrasse 21, 54296, Trier, Germany

    Colja A. Becker, Fabian Lorig & Ingo J. Timm

Authors
  1. Colja A. Becker
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  2. Fabian Lorig
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  3. Ingo J. Timm
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Corresponding author

Correspondence to Colja A. Becker .

Editor information

Editors and Affiliations

  1. University of Melbourne, Melbourne, VIC, Australia

    Fernando Koch

  2. IIIA-CSIC and Autonomous University of Barcelona, Barcelona, Spain

    Andrew Koster

  3. Universitat Rovira i Virgili, Tarragona, Spain

    David Riaño

  4. Università di Bologna, Cesena, Italy

    Sara Montagna

  5. HES-SO Valais Wallis, Sierre, Switzerland

    Michael Schumacher

  6. VU University Amsterdam, Amsterdam, The Netherlands

    Annette ten Teije

  7. Karolinska Institute, Stockholm, Sweden

    Christian Guttmann

  8. University of Ulm, Ulm, Germany

    Manfred Reichert

  9. State University of New York, Oswego, NY, USA

    Isabelle Bichindaritz

  10. Imperial College London, London, UK

    Pau Herrero

  11. University of Erlangen and Nuremberg, Erlangen, Germany

    Richard Lenz

  12. University of Girona, Girona, Spain

    Beatriz López

  13. Ohio University, Athens, OH, USA

    Cindy Marling

  14. Oxford Brookes University, Oxford, UK

    Clare Martin

  15. Università del Piemonte Orientale, Alessandria, Italy

    Stefania Montani

  16. School of Computing Science and Digital Media, Robert Gordon University, Aberdeen, UK

    Nirmalie Wiratunga

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Becker, C.A., Lorig, F., Timm, I.J. (2019). Multiagent Systems to Support Planning and Scheduling in Home Health Care Management: A Literature Review. In: Koch, F., et al. Artificial Intelligence in Health. AIH 2018. Lecture Notes in Computer Science(), vol 11326. Springer, Cham. https://doi.org/10.1007/978-3-030-12738-1_2

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  • DOI: https://doi.org/10.1007/978-3-030-12738-1_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-12737-4

  • Online ISBN: 978-3-030-12738-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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