Literature DB >> 19544053

Visual cueing with context relevant information for reducing change blindness.

Jacqueline M Tappan1, Jeremy Daniels, Brad Slavin, Joanne Lim, Rollin Brant, J Mark Ansermino.   

Abstract

OBJECTIVE: Physiological monitoring is a requisite for optimal care to ensure that the condition of a patient is maintained within safe levels. Monitoring can be jeopardized by the inability of a clinician to recognize important changes in the visual display of data throughout the duration of the monitoring task. We hypothesized that the addition of a visual cue imparting contextual information to a physiological display would improve the detection ability and response time of a clinician to a change in a patient variable.
METHODS: Contextual information based on trend information was added to a physiological display in the form of a visual cue. Following IRB approval, the resulting enhanced display was evaluated by 22 anesthesiologists in a simulated operating room, through the observation of six simulated scenarios using a standard anesthesia display and the enhanced display. Demographic information, response time, accuracy of detection, and usability data were collected.
RESULTS: The enhanced display reduced the detection time to a change in the simulated scenarios by 14.4 s (95% CI: -26.4 to -2.38), and reduced the expected number of missed events per scenario by 0.23 (95% CI: -0.439 to -0.0203), based on the repeated measures analysis (Poisson model).
CONCLUSIONS: The data collected and analyzed in this study supports the addition of a visual cue to future physiological monitors. The graphic representation and the context relevant information that it transmits appears to aid clinicians. While the results indicate that enhanced visualization of context relevant information can lead to a significant improvement in event recognition and identification, further evaluation in clinical settings is required.

Entities:  

Mesh:

Year:  2009        PMID: 19544053     DOI: 10.1007/s10877-009-9186-8

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN: 1387-1307            Impact factor:   2.502


  18 in total

1.  Effects of cueing and knowledge of results on workload and boredom in sustained attention.

Authors:  E M Hitchcock; W N Dember; J S Warm; B W Moroney; J E See
Journal:  Hum Factors       Date:  1999-09       Impact factor: 2.888

2.  Evaluation of two new ecological interface approaches for the anesthesia workplace.

Authors:  A Jungk; B Thull; A Hoeft; G Rau
Journal:  J Clin Monit Comput       Date:  2000       Impact factor: 2.502

Review 3.  The right picture is worth a thousand numbers: data displays in anesthesia.

Authors:  Frank A Drews; Dwayne R Westenskow
Journal:  Hum Factors       Date:  2006       Impact factor: 2.888

Review 4.  The public health and safety consequences of sleep disorders.

Authors:  Krista Sigurdson; Najib T Ayas
Journal:  Can J Physiol Pharmacol       Date:  2007-01       Impact factor: 2.273

5.  An evaluation of a novel software tool for detecting changes in physiological monitoring.

Authors:  J Mark Ansermino; Jeremy P Daniels; Randy T Hewgill; Joanne Lim; Ping Yang; Chris J Brouse; Guy A Dumont; John B Bowering
Journal:  Anesth Analg       Date:  2009-03       Impact factor: 5.108

6.  Role of monitoring devices in prevention of anesthetic mishaps: a closed claims analysis.

Authors:  J H Tinker; D L Dull; R A Caplan; R J Ward; F W Cheney
Journal:  Anesthesiology       Date:  1989-10       Impact factor: 7.892

7.  Longitudinal data analysis for discrete and continuous outcomes.

Authors:  S L Zeger; K Y Liang
Journal:  Biometrics       Date:  1986-03       Impact factor: 2.571

8.  Random-effects models for longitudinal data.

Authors:  N M Laird; J H Ware
Journal:  Biometrics       Date:  1982-12       Impact factor: 2.571

Review 9.  Change blindness: past, present, and future.

Authors:  Daniel J Simons; Ronald A Rensink
Journal:  Trends Cogn Sci       Date:  2005-01       Impact factor: 20.229

10.  An analysis of major errors and equipment failures in anesthesia management: considerations for prevention and detection.

Authors:  J B Cooper; R S Newbower; R J Kitz
Journal:  Anesthesiology       Date:  1984-01       Impact factor: 7.892

View more
  7 in total

1.  Toward Designing Information Display to Support Critical Care. A Qualitative Contextual Evaluation and Visioning Effort.

Authors:  Melanie C Wright; Sherry Dunbar; Brekk C Macpherson; Eugene W Moretti; Guillherme Del Fiol; Jean Bolte; Jeffrey M Taekman; Noa Segall
Journal:  Appl Clin Inform       Date:  2016-10-05       Impact factor: 2.342

2.  Evaluation of an integrated intensive care unit monitoring display by critical care fellow physicians.

Authors:  Matthias Görges; Dwayne R Westenskow; Boaz A Markewitz
Journal:  J Clin Monit Comput       Date:  2012-05-16       Impact factor: 2.502

Review 3.  A Review of Visual Representations of Physiologic Data.

Authors:  Rishikesan Kamaleswaran; Carolyn McGregor
Journal:  JMIR Med Inform       Date:  2016-11-21

Review 4.  Novel Interface Designs for Patient Monitoring Applications in Critical Care Medicine: Human Factors Review.

Authors:  Evismar Andrade; Leo Quinlan; Richard Harte; Dara Byrne; Enda Fallon; Martina Kelly; Siobhan Casey; Frank Kirrane; Paul O'Connor; Denis O'Hora; Michael Scully; John Laffey; Patrick Pladys; Alain Beuchée; Gearóid ÓLaighin
Journal:  JMIR Hum Factors       Date:  2020-07-03

5.  Critical care information display approaches and design frameworks: A systematic review and meta-analysis.

Authors:  Melanie C Wright; Damian Borbolla; Rosalie G Waller; Guilherme Del Fiol; Thomas Reese; Paige Nesbitt; Noa Segall
Journal:  J Biomed Inform X       Date:  2019-06-22

6.  Iterative heuristic design of temporal graphic displays with clinical domain experts.

Authors:  Thomas J Reese; Noa Segall; Guilherme Del Fiol; Joseph E Tonna; Kensaku Kawamoto; Charlene Weir; Melanie C Wright
Journal:  J Clin Monit Comput       Date:  2020-08-02       Impact factor: 1.977

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

北京卡尤迪生物科技股份有限公司 © 2022-2023.