Literature DB >> 26995032

Combining situated Cognitive Engineering with a novel testing method in a case study comparing two infusion pump interfaces.

R Schnittker1, M Schmettow2, F Verhoeven3, J M C Schraagen4.   

Abstract

We validated the usability of a new infusion pump interface designed with a situated Cognitive Engineering approach by comparing it to a reference interface using a novel testing method employing repeated measurements and process measures, in addition to traditional outcome measures. The sample consisted of 25 nurses who performed eight critical tasks three times. Performance measures consisted of number and type of errors, deviations from a pre-established normative path solution, task completion times, number of keystrokes, mental effort and preferences in use. Results showed that interaction with the new interface resulted in 18% fewer errors, 90% fewer normative path deviations, 42% lower task completion times, 40% fewer keystrokes, 39% lower mental effort and 76% more subjective preferences in use. These outcomes suggest that within the scope of this case study, combining the situated Cognitive Engineering approach with a novel testing method addresses various shortcomings of earlier testing methods.
Copyright © 2016 Elsevier Ltd and The Ergonomics Society. All rights reserved.

Keywords:  Human-machine interaction; Infusion pump; Medical device usability testing

Mesh:

Year:  2016        PMID: 26995032     DOI: 10.1016/j.apergo.2016.01.004

Source DB:  PubMed          Journal:  Appl Ergon        ISSN: 0003-6870            Impact factor:   3.661


  4 in total

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Journal:  Yearb Med Inform       Date:  2017-09-11

2.  Quantifying the Impact of Infusion Alerts and Alarms on Nursing Workflows: A Retrospective Analysis.

Authors:  Denny Yu; Marian Obuseh; Poching DeLaurentis
Journal:  Appl Clin Inform       Date:  2021-06-30       Impact factor: 2.762

3.  A Prototype Patient-Maintained Propofol Sedation System Using Target Controlled Infusion for Primary Lower-Limb Arthroplasty.

Authors:  James Sprinks; Frank Worcester; Philip Breedon; Paul Watts; David Hewson; Nigel Bedforth
Journal:  J Med Syst       Date:  2019-06-26       Impact factor: 4.460

4.  A Remote Patient-Monitoring System for Intensive Care Medicine: Mixed Methods Human-Centered Design and Usability Evaluation.

Authors:  Akira-Sebastian Poncette; Lina Katharina Mosch; Lars Stablo; Claudia Spies; Monique Schieler; Steffen Weber-Carstens; Markus A Feufel; Felix Balzer
Journal:  JMIR Hum Factors       Date:  2022-03-11
  4 in total

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