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User Preference and Comparative Workflow Evaluation of a Next Generation Vital Signs Monitor Designed for a Low Acuity Setting

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Advances in Human Factors and Ergonomics in Healthcare and Medical Devices (AHFE 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1205))

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Abstract

Multiparametric automated vital sign monitors are slowly becoming the standard in outpatient practice settings where users value solutions that provide efficiency and simplify their clinical workflows. In order to evaluate whether our new to market device would meet expectations and requirements of device design we designed a study to look at the use of our new device in these settings and thereby quantify usability, preference and acceptance by clinicians.

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Author information

Authors and Affiliations

  1. Medical Affairs, Patient Monitoring & Diagnostic Cardiology, Hillrom, Skaneateles Falls, NY, USA

    Shruti Marwaha

  2. Global Marketing, Patient Monitoring, Hillrom, Skaneateles Falls, NY, USA

    Christopher Long

  3. Department of Mathematics and Statistics, Syracuse University, Syracuse, NY, USA

    Thomas T. John

  4. Data Scientist, Hillrom, Chicago, IL, USA

    Kimberly Koloms

Authors
  1. Shruti Marwaha
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  2. Christopher Long
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  3. Thomas T. John
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  4. Kimberly Koloms
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Corresponding author

Correspondence to Shruti Marwaha .

Editor information

Editors and Affiliations

  1. Department of Pathology, College of Medicine, Royal University Hospital, University of Saskatchewan, Saskatoon, SK, Canada

    Jay Kalra

  2. Center for Applied Systems Engineering, Veterans Affairs, Indianapolis, IN, USA

    Nancy J. Lightner

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© 2020 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG

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Marwaha, S., Long, C., John, T.T., Koloms, K. (2020). User Preference and Comparative Workflow Evaluation of a Next Generation Vital Signs Monitor Designed for a Low Acuity Setting. In: Kalra, J., Lightner, N. (eds) Advances in Human Factors and Ergonomics in Healthcare and Medical Devices. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1205. Springer, Cham. https://doi.org/10.1007/978-3-030-50838-8_31

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  • DOI: https://doi.org/10.1007/978-3-030-50838-8_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-50837-1

  • Online ISBN: 978-3-030-50838-8

  • eBook Packages: EngineeringEngineering (R0)

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