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

  • Shruti MarwahaEmail author
  • Christopher Long
  • Thomas T. John
  • Kimberly Koloms
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1205)


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.


Comparative workflow evaluation Vital sign monitors Ease of use User satisfaction Technology Acceptance Model User preference Multiparameter patient monitors 


  1. 1.
    Klueber, S., Wolf, E., Grundgeiger, T., Brecknell, B., Mohamed, I., Sanderson, P.: Supporting multiple patient monitoring with head-worn displays and spearcons. Appl. Ergon. 2019(78), 86–96 (2018). Scholar
  2. 2.
    Ruppar, D.: Analysis of the U.S. Multiparameter Patient Monitoring Equipment Market Emerging from Market Saturation, March (2012)Google Scholar
  3. 3.
    Frost & Sullivan: Global Hospital-based Medical Device Connectivity Market, Forecast to 2022, 1–18 April (2018)Google Scholar
  4. 4.
    Brooke, J.: A quick and dirty usability scale. Usability Eval. Ind. 189(194), 4–7 (1996).
  5. 5.
    Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: Extrinsic and intrinsic motivation to use computers in the workplace. J. Appl. Soc. Psychol. 22(14), 1111–1132 (1992)CrossRefGoogle Scholar
  6. 6.
    Pande, T., Saravu, K., Temesgen, Z., et al.: Evaluating clinicians’ user experience and acceptability of LearnTB, a smartphone application for tuberculosis in India. Mhealth 2017; 3:30. Published 27 July 2017
  7. 7.
    Gagnon, M.P., Ngangue, P., Payne-Gagnon, J., et al.: m-Health adoption by healthcare professionals: a systematic review. J. Am. Med. Inform. Assoc. 23(1), 212–220 (2016)CrossRefGoogle Scholar

Copyright information

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

Authors and Affiliations

  • Shruti Marwaha
    • 1
    Email author
  • Christopher Long
    • 2
  • Thomas T. John
    • 3
  • Kimberly Koloms
    • 4
  1. 1.Medical Affairs, Patient Monitoring & Diagnostic CardiologyHillromSkaneateles FallsUSA
  2. 2.Global Marketing, Patient MonitoringHillromSkaneateles FallsUSA
  3. 3.Department of Mathematics and StatisticsSyracuse UniversitySyracuseUSA
  4. 4.Data ScientistHillromChicagoUSA

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