DocumentCode :
1608102
Title :
Nurses´ visual scanning patterns during the medication administration process
Author :
He, Ze ; Marquard, Jenna L. ; Henneman, Philip L.
Author_Institution :
Mech. & Ind. Eng., Univ. of Massachusetts, Amherst, MA, USA
fYear :
2011
Firstpage :
12
Lastpage :
17
Abstract :
Quality of care is important in health care systems, and reducing medication errors is an effective approach to improve health care quality because medication errors are not rare and can cause adverse patient outcomes. Current researchers have adopted contextual, macro level methods to study the medication administration process, but the association between cognitive factors and the nurses´ abilities to identify medication errors remains unclear. We used visual scanning patterns to study how nurses complete the medication administration process. In our study, we focused on a specific type of visual scanning pattern: nurses´ two fixation scanpaths. We sought to find links between whether nurses identifies a patient identification error while administering a medication and their two fixation scanpaths. The data used in this study was collected in an experiment conducted at a Western Massachusetts hospital. Nurse participants wore an eye tracking device to record their eye movements while they performed a simulated medication administration process. We coded the eye tracking videos and analyzed the generated sequence data based on whether nurses identified a patient identification error during the process. We found that two fixation scanpaths are different between the two groups of nurses, those who identified the error and who did not. This finding may have implications for the design of medication administration protocol development.
Keywords :
drugs; health care; patient care; vision; cognitive factors; eye movements; eye tracking device; eye tracking videos; fixation scanpaths; health care quality improvement; health care systems; medication administration protocol development; medication error reduction; nurse visual scanning patterns; patient identification error; simulated medication administration process; Driver circuits; Medical treatment; Protocols; Tracking; Videos; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems and Information Engineering Design Symposium (SIEDS), 2011 IEEE
Conference_Location :
Charlottesville, VA
Print_ISBN :
978-1-4577-0446-8
Type :
conf
DOI :
10.1109/SIEDS.2011.5876843
Filename :
5876843
Link To Document :
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