title: Graphical arterial blood gas visualization tool supports rapid and accurate data interpretation.
abstract: A visualization tool that integrates numeric information from an arterial blood gas report with novel graphics was designed for the purpose of promoting rapid and accurate interpretation of acid-base data. A study compared data interpretation performance when arterial blood gas results were presented in a traditional numerical list versus the graphical visualization tool. Critical-care nurses (n = 15) and nursing students (n = 15) were significantly more accurate identifying acid-base states and assessing trends in acid-base data when using the graphical visualization tool. Critical-care nurses and nursing students using traditional numerical data had an average accuracy of 69% and 74%, respectively. Using the visualization tool, average accuracy improved to 83% for critical-care nurses and 93% for nursing students. Analysis of response times demonstrated that the visualization tool might help nurses overcome the "speed/accuracy trade-off" during high-stress situations when rapid decisions must be rendered. Perceived mental workload was significantly reduced for nursing students when they used the graphical visualization tool. In this study, the effects of implementing the graphical visualization were greater for nursing students than for critical-care nurses, which may indicate that the experienced nurses needed more training and use of the new technology prior to testing to show similar gains. Results of the objective and subjective evaluations support the integration of this graphical visualization tool into clinical environments that require accurate and timely interpretation of arterial blood gas data.
authors.affiliation: College of Nursing, University of Utah, Salt Lake City, UT 84112, USA. alexa.doig@nurs.utah.edu
authors.forename: Alexa K
authors.initials: AK
authors.lastname: Doig
authors.forename: Robert W
authors.initials: RW
authors.lastname: Albert
authors.forename: Noah D
authors.initials: ND
authors.lastname: Syroid
authors.forename: Shaun
authors.initials: S
authors.lastname: Moon
authors.forename: Jim A
authors.initials: JA
authors.lastname: Agutter
mesh_terms: D001158:Arteries / Q000378:metabolism*; D001784:Blood Gas Analysis / Q000379:methods*; D003627:Data Interpretation, Statistical; D006801:Humans