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World Congress on Medical Physics and Biomedical Engineering 2018 pp 307–310Cite as

Developing an Automated Clinical Trending Tool for the Neonatal Intensive Care Unit (NICU)

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Abstract

The purpose of this work was to develop a clinical trending tool which tracks patient vital signs and generates alerts for deviations from a defined baseline. This work analyzes four types of patients: a stable patient, a patient who left the Neonatal Intensive Care Unit for an extended period, and two patients who experienced a clinical deterioration. By displaying visual tools which are more intuitive and user friendly for physicians and alerting for short term vital sign deviations of these different patients, we aim to identify trends which may precede clinical deterioration in patients.

Keywords

  • Trending physiological parameters
  • Heart rate
  • Oxygen saturation
  • Warnings and alerts
  • Visualization tools

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Acknowledgements

This research was made possible through a grant from the Natural Sciences and Engineering research Council.

Author information

Authors and Affiliations

  1. Systems and Computer Engineering Department, Carleton University, Ottawa, Canada

    M. Frize, A. Esty, J. Gilchrist & E. Bariciak

  2. School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Canada

    M. Frize

  3. Division of Neonatology, Children’s Hospital of Eastern Ontario, Ottawa, Canada

    J. Harrold & E. Bariciak

Authors
  1. M. Frize
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  2. A. Esty
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  3. J. Gilchrist
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  4. J. Harrold
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  5. E. Bariciak
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Corresponding author

Correspondence to M. Frize .

Editor information

Editors and Affiliations

  1. CIIRC, Czech Technical University in Prague, Prague, Czech Republic

    Lenka Lhotska

  2. Institute of Clinical and Experimental Medicine, Prague, Czech Republic

    Lucie Sukupova

  3. Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia

    Igor Lacković

  4. Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA

    Geoffrey S. Ibbott

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Frize, M., Esty, A., Gilchrist, J., Harrold, J., Bariciak, E. (2019). Developing an Automated Clinical Trending Tool for the Neonatal Intensive Care Unit (NICU). In: Lhotska, L., Sukupova, L., Lacković, I., Ibbott, G.S. (eds) World Congress on Medical Physics and Biomedical Engineering 2018. IFMBE Proceedings, vol 68/1. Springer, Singapore. https://doi.org/10.1007/978-981-10-9035-6_55

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  • DOI: https://doi.org/10.1007/978-981-10-9035-6_55

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-9034-9

  • Online ISBN: 978-981-10-9035-6

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