Literature DB >> 21654229

A far-view intensive care unit monitoring display enables faster triage.

Matthias Görges1, Kai Kück, Sven H Koch, Jim Agutter, Dwayne R Westenskow.   

Abstract

Although nurses perform the majority of the clinical tasks in an intensive care unit, current patient monitors were not designed to support a nurse's workflow. Nurses constantly triage patients, deciding which patient is currently in the most need of care. To make this decision, nurses must observe the patient's vital signs and therapeutic device information from multiple sources. To obtain this information, they often have to enter the patient's room. This study addresses 3 hypotheses. Information provided by far-view monitoring displays (1) reduces the amount of time to determine which patient needs care first, (2) increases the accuracy of assigning priority to the right patient, and (3) reduces nurses mental workload. We developed 2 far-view displays to be read from a distance of 3 to 5 m without entering the patient's room. Both display vital signs, trends, alarms, infusion pump status, and therapy support indicators. To evaluate the displays, nurses were asked to use the displays to decide which of 2 patients required their attention first. They made 60 decisions: 20 with each far-view display and 20 decisions with a standard patient monitor next to an infusion pump. Sixteen nurses (median age of 27.5 years with 2.75 years of experience) participated in the study. Using the 2 far-view displays, nurses more accurately and rapidly identified stable patients and syringe pumps that were nearly empty. Median decision times were 11.3 and 12.4 seconds for the 2 far-view displays and 17.2 seconds for the control display. The 2 far-view displays reduced median decision-making times by 4.8 to 5.9 seconds, increased accuracy in assignment of priority in 2 of 7 patient conditions, and reduced nurses' frustration with the triaging task. In a clinical setting, the proposed far-view display might reduce nurses' mental workload and thereby increase patient safety.

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Year:  2011        PMID: 21654229     DOI: 10.1097/DCC.0b013e31821b7f08

Source DB:  PubMed          Journal:  Dimens Crit Care Nurs        ISSN: 0730-4625


  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

3.  "Usability of data integration and visualization software for multidisciplinary pediatric intensive care: a human factors approach to assessing technology".

Authors:  Ying Ling Lin; Anne-Marie Guerguerian; Jessica Tomasi; Peter Laussen; Patricia Trbovich
Journal:  BMC Med Inform Decis Mak       Date:  2017-08-14       Impact factor: 2.796

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.  Association of Data Integration Technologies With Intensive Care Clinician Performance: A Systematic Review and Meta-analysis.

Authors:  Ying Ling Lin; Patricia Trbovich; Lauren Kolodzey; Cheri Nickel; Anne-Marie Guerguerian
Journal:  JAMA Netw Open       Date:  2019-05-03

7.  Faster clinical response to the onset of adverse events: A wearable metacognitive attention aid for nurse triage of clinical alarms.

Authors:  Daniel C McFarlane; Alexa K Doig; James A Agutter; Lara M Brewer; Noah D Syroid; Ranjeev Mittu
Journal:  PLoS One       Date:  2018-05-16       Impact factor: 3.240

  7 in total

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