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Context-Aware and Self-learning Dynamic Transport Scheduling in Hospitals

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Part of the book series:Lecture Notes in Computer Science ((LNISA,volume 10577))

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Abstract

The increase in available ICT infrastructure in hospitals offers cost reduction opportunities by optimizing various workflows, while maintaining quality of care. In this demonstrator-paper, we present a self-learning dashboard, for monitoring and learning the cause of delays of hospital transports. By identifying these causes, future delays in transport time can be reduced.

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References

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Acknowledgment

This research was partly funded by the AORTA project, co-funded by the AIO, imec, Xperthis, Televic Healthcare, AZMM and ZNA.

Author information

Authors and Affiliations

  1. IBCN Research Group, INTEC Department, Ghent University, iGent Building, Technology Park 15, 9052, Zwijnaarde, Belgium

    Pieter Bonte, Femke Ongenae, Jeroen Schaballie, Bert Vankeirsbilck & Filip De Turck

  2. CODeS and iMinds-ITEC, Department of Computer Science, KU Leuven, Leuven, Belgium

    Wim Vancroonenburg

Authors
  1. Pieter Bonte

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  2. Femke Ongenae

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  3. Jeroen Schaballie

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  4. Wim Vancroonenburg

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  5. Bert Vankeirsbilck

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  6. Filip De Turck

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Corresponding author

Correspondence toPieter Bonte.

Editor information

Editors and Affiliations

  1. Linköping University, Linköping, Sweden

    Eva Blomqvist

  2. Aalborg University, Aalborg, Denmark

    Katja Hose

  3. University of Mannheim, Mannheim, Germany

    Heiko Paulheim

  4. Poznan University of Technology, Poznan, Poland

    Agnieszka Ławrynowicz

  5. University of Sheffield, Sheffield, United Kingdom

    Fabio Ciravegna

  6. Linköping University, Linköping, Sweden

    Olaf Hartig

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© 2017 Springer International Publishing AG

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Cite this paper

Bonte, P., Ongenae, F., Schaballie, J., Vancroonenburg, W., Vankeirsbilck, B., De Turck, F. (2017). Context-Aware and Self-learning Dynamic Transport Scheduling in Hospitals. In: Blomqvist, E., Hose, K., Paulheim, H., Ławrynowicz, A., Ciravegna, F., Hartig, O. (eds) The Semantic Web: ESWC 2017 Satellite Events. ESWC 2017. Lecture Notes in Computer Science(), vol 10577. Springer, Cham. https://doi.org/10.1007/978-3-319-70407-4_31

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Chapter
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Price includes VAT (Japan)
  • Available as PDF
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  • Own it forever
eBook
JPY 7435
Price includes VAT (Japan)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 9294
Price includes VAT (Japan)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide -see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

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