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Visualization and Quantitative Analysis of Nursing Staff Trajectories Based on a Location System

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Innovation in Medicine and Healthcare 2015

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 45))

Abstract

We sought to clarify the impact of information communication technology (ICT) on hospital management. We used a real-time location system for nurses’ workload assessment. First, we introduced a Bluetooth-based real-time location system into a hospital and visualized the trajectories of the nursing staff from the data obtained. Next, we conducted a quantitative analysis of the data to estimate the workloads of nursing staff from the duration of stay at each bedside. We found clear differences in the time spent on care between patients in general patient rooms and those in critical care rooms. These results show the potential of using the data obtained by ICT tools to support hospital management.

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Acknowledgment

This work was partly supported by JSPS KAKENHI Grant Number 10304156.

Author information

Authors and Affiliations

  1. Graduate School of Medicine, Kyoto University, Kyoto, Japan

    Kikue Sato & Akitoshi Seiyama

  2. Division of Medical Information Technology and Administration Planning, Kyoto University Hospital, Kyoto, Japan

    Tomohiro Kuroda

Authors
  1. Kikue Sato
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  2. Tomohiro Kuroda
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  3. Akitoshi Seiyama
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Corresponding author

Correspondence to Kikue Sato .

Editor information

Editors and Affiliations

  1. Ritsumeikan University, College of Info Sci & Engg, Kusatsu, Japan

    Yen-Wei Chen

  2. Mikeletegi Pasealekua 57, Vicomtech-IK4, Donostia San Sebastian, Spain

    Carlos Torro

  3. College of Information Science and Engineering, Ritsumeikan University, Kusatsu-shi, Shiga, Japan

    Satoshi Tanaka

  4. KES International, Shoreham-by-Sea, United Kingdom

    Robert J. Howlett

  5. Faculty of Education, Science, Technology and Mathematics, University of Canberra, Canberra, Australia

    Lakhmi C. Jain

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© 2016 Springer International Publishing Switzerland

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Sato, K., Kuroda, T., Seiyama, A. (2016). Visualization and Quantitative Analysis of Nursing Staff Trajectories Based on a Location System. In: Chen, YW., Torro, C., Tanaka, S., Howlett, R., C. Jain, L. (eds) Innovation in Medicine and Healthcare 2015. Smart Innovation, Systems and Technologies, vol 45. Springer, Cham. https://doi.org/10.1007/978-3-319-23024-5_3

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  • DOI: https://doi.org/10.1007/978-3-319-23024-5_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23023-8

  • Online ISBN: 978-3-319-23024-5

  • eBook Packages: EngineeringEngineering (R0)

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