Literature DB >> 23011557

Graphical user interface simplifies infusion pump programming and enhances the ability to detect pump-related faults.

Noah Syroid1, David Liu, Robert Albert, James Agutter, Talmage D Egan, Nathan L Pace, Ken B Johnson, Michael R Dowdle, Daniel Pulsipher, Dwayne R Westenskow.   

Abstract

BACKGROUND: Drug administration errors are frequent and are often associated with the misuse of IV infusion pumps. One source of these errors may be the infusion pump's user interface.
METHODS: We used failure modes-and-effects analyses to identify programming errors and to guide the design of a new syringe pump user interface. We designed the new user interface to clearly show the pump's operating state simultaneously in more than 1 monitoring location. We evaluated anesthesia residents in laboratory and simulated environments on programming accuracy and error detection between the new user interface and the user interface of a commercially available infusion pump.
RESULTS: With the new user interface, we observed the number of programming errors reduced by 81%, the number of keystrokes per task reduced from 9.2 ± 5.0 to 7.5 ± 5.5 (mean ± SD), the time required per task reduced from 18.1 ± 14.1 seconds to 10.9 ± 9.5 seconds and significantly less perceived workload. Residents detected 38 of 70 (54%) of the events with the new user interface and 37 of 70 (53%) with the existing user interface, despite no experience with the new user interface and extensive experience with the existing interface.
CONCLUSIONS: The number of programming errors and workload were reduced partly because it took less time and fewer keystrokes to program the pump when using the new user interface. Despite minimal training, residents quickly identified preexisting infusion pump problems with the new user interface. Intuitive and easy-to-program infusion pump interfaces may reduce drug administration errors and infusion pump-related adverse events.

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Year:  2012        PMID: 23011557     DOI: 10.1213/ANE.0b013e31826b46bc

Source DB:  PubMed          Journal:  Anesth Analg        ISSN: 0003-2999            Impact factor:   5.108


  4 in total

1.  Use of a decision support system improves the management of hemodynamic and respiratory events in orthopedic patients under propofol sedation and spinal analgesia: a randomized trial.

Authors:  Cedrick Zaouter; Mohamad Wehbe; Shantale Cyr; Joshua Morse; Riccardo Taddei; Pierre A Mathieu; Thomas M Hemmerling
Journal:  J Clin Monit Comput       Date:  2013-04-30       Impact factor: 2.502

2.  Improved usability of a multi-infusion setup using a centralized control interface: A task-based usability test.

Authors:  Frank Doesburg; Fokie Cnossen; Willem Dieperink; Wouter Bult; Anne Marie de Smet; Daan J Touw; Maarten W Nijsten
Journal:  PLoS One       Date:  2017-08-11       Impact factor: 3.240

3.  Research protocol for the validation of a new portable technology for real-time continuous monitoring of Early Warning Score (EWS) in hospital practice and for an early-stage multistakeholder assessment.

Authors:  Stefania Manetti; Milena Vainieri; Elisa Guidotti; Sara Zuccarino; Francesca Ferré; Maria Sole Morelli; Michele Emdin
Journal:  BMJ Open       Date:  2020-12-03       Impact factor: 2.692

4.  Development of the Electronic Social Network Assessment Program Using the Center for eHealth and Wellbeing Research Roadmap.

Authors:  Maija Reblin; Yelena P Wu; Justin Pok; Lauren Kane; Howard Colman; Adam L Cohen; Eduardo Mendivil; Echo L Warner; Miriah Meyer; James Agutter
Journal:  JMIR Hum Factors       Date:  2017-08-30
  4 in total

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