Literature DB >> 26375330

Human factors approach to evaluate the user interface of physiologic monitoring.

Richard Fidler1, Raymond Bond2, Dewar Finlay2, Daniel Guldenring2, Anthony Gallagher2, Michele Pelter3, Barbara Drew3, Xiao Hu3.   

Abstract

BACKGROUND: As technology infiltrates more of our personal and professional lives, user expectations for intuitive design have driven many consumer products, while medical equipment continues to have high training requirements. Not much is known about the usability and user experience associated with hospital monitoring equipment. This pilot project aimed to better understand and describe the user interface interaction and user experience with physiologic monitoring technology.
DESIGN: This was a prospective, descriptive, mixed-methods quality improvement project to analyze perceptions and task analyses of physiologic monitors.
METHODS: Following a survey of practice patterns and perceived abilities to accomplish key tasks, 10 voluntary experienced physician and nurse subjects were asked to perform a series of tasks in 7 domains of monitor operations on GE Monitoring equipment in a single institution. For each task analysis, data were collected on time to complete the task, the number of button pushes or clicks required to accomplish the task, economy of motion, and observed errors.
RESULTS: Although 60% of the participants reported incorporating monitoring data into patient care, 80% of participants preferred to receive monitoring data at the point of care (bedside). Average perceived central station usability is 5.3 out of 10 (ten is easiest).
CONCLUSIONS: High variability exists in monitoring station interaction performance among those participating in this project. Alarms were almost universally silenced without cognitive recognition of the alarm state. Education related to monitoring operations appeared largely absent in this sample. Most users perceived the interface to not be intuitive, complaining of multiple layers and steps for data retrieval. These clinicians report real-time monitoring helpful for abrupt changes in condition like arrhythmias; however, reviewing alarms is not prioritized as valuable due to frequent false alarms. Participants requested exporting monitoring data to electronic medical records. Much research is needed to develop best practices for display of real-time information, organization and filtering of meaningful data, and simplified ways to find information. Published by Elsevier Inc.

Entities:  

Keywords:  Bedside monitoring, human factors in monitoring; Central station; Usability; User experience; User interface

Mesh:

Year:  2015        PMID: 26375330     DOI: 10.1016/j.jelectrocard.2015.08.032

Source DB:  PubMed          Journal:  J Electrocardiol        ISSN: 0022-0736            Impact factor:   1.438


  7 in total

1.  Contribution of Electrocardiographic Accelerated Ventricular Rhythm Alarms to Alarm Fatigue.

Authors:  Sukardi Suba; Cass Piper Sandoval; Jessica K Zègre-Hemsey; Xiao Hu; Michele M Pelter
Journal:  Am J Crit Care       Date:  2019-05       Impact factor: 2.228

2.  Clinician-Driven Design of VitalPAD-An Intelligent Monitoring and Communication Device to Improve Patient Safety in the Intensive Care Unit.

Authors:  Luisa Flohr; Shaylene Beaudry; K Taneille Johnson; Nicholas West; Catherine M Burns; J Mark Ansermino; Guy A Dumont; David Wensley; Peter Skippen; Matthias Gorges
Journal:  IEEE J Transl Eng Health Med       Date:  2018-03-05       Impact factor: 3.316

3.  Understanding heart rate alarm adjustment in the intensive care units through an analytical approach.

Authors:  Richard L Fidler; Michele M Pelter; Barbara J Drew; Jorge Arroyo Palacios; Yong Bai; Daphne Stannard; J Matt Aldrich; Xiao Hu
Journal:  PLoS One       Date:  2017-11-27       Impact factor: 3.240

4.  Patient characteristics associated with false arrhythmia alarms in intensive care.

Authors:  Patricia R Harris; Jessica K Zègre-Hemsey; Daniel Schindler; Yong Bai; Michele M Pelter; Xiao Hu
Journal:  Ther Clin Risk Manag       Date:  2017-04-19       Impact factor: 2.423

Review 5.  Our first review: an evaluation of effectiveness of root cause analysis recommendations in Hong Kong public hospitals.

Authors:  Yick Ting A Kwok; Alastair Py Mah; Katherine Mc Pang
Journal:  BMC Health Serv Res       Date:  2020-06-05       Impact factor: 2.655

6.  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

Review 7.  Systematic review of applied usability metrics within usability evaluation methods for hospital electronic healthcare record systems: Metrics and Evaluation Methods for eHealth Systems.

Authors:  Marta Weronika Wronikowska; James Malycha; Lauren J Morgan; Verity Westgate; Tatjana Petrinic; J Duncan Young; Peter J Watkinson
Journal:  J Eval Clin Pract       Date:  2021-05-13       Impact factor: 2.336

  7 in total

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