TY - JOUR
T1 - Feasibility of utilizing a commercial eye tracker to assess electronic health record use during patient simulation
AU - Gold, Jeffrey Allen
AU - Stephenson, Laurel E.
AU - Gorsuch, Adriel
AU - Parthasarathy, Keshav
AU - Mohan, Vishnu
N1 - Publisher Copyright:
© The Author(s) 2015.
PY - 2016/9/1
Y1 - 2016/9/1
N2 - Numerous reports describe unintended consequences of electronic health record implementation. Having previously described physicians' failures to recognize patient safety issues within our electronic health record simulation environment, we now report on our use of eye and screen-tracking technology to understand factors associated with poor error recognition during an intensive care unit-based electronic health record simulation. We linked performance on the simulation to standard eye and screen-tracking readouts including number of fixations, saccades, mouse clicks and screens visited. In addition, we developed an overall Composite Eye Tracking score which measured when, where and how often each safety item was viewed. For 39 participants, the Composite Eye Tracking score correlated with performance on the simulation (p = 0.004). Overall, the improved performance was associated with a pattern of rapid scanning of data manifested by increased number of screens visited (p = 0.001), mouse clicks (p = 0.03) and saccades (p = 0.004). Eye tracking can be successfully integrated into electronic health record-based simulation and provides a surrogate measure of cognitive decision making and electronic health record usability.
AB - Numerous reports describe unintended consequences of electronic health record implementation. Having previously described physicians' failures to recognize patient safety issues within our electronic health record simulation environment, we now report on our use of eye and screen-tracking technology to understand factors associated with poor error recognition during an intensive care unit-based electronic health record simulation. We linked performance on the simulation to standard eye and screen-tracking readouts including number of fixations, saccades, mouse clicks and screens visited. In addition, we developed an overall Composite Eye Tracking score which measured when, where and how often each safety item was viewed. For 39 participants, the Composite Eye Tracking score correlated with performance on the simulation (p = 0.004). Overall, the improved performance was associated with a pattern of rapid scanning of data manifested by increased number of screens visited (p = 0.001), mouse clicks (p = 0.03) and saccades (p = 0.004). Eye tracking can be successfully integrated into electronic health record-based simulation and provides a surrogate measure of cognitive decision making and electronic health record usability.
KW - IT healthcare evaluation
KW - clinical decision making
KW - electronic health records
KW - healthcare professional training
KW - healthcare service innovation and IT
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U2 - 10.1177/1460458215590250
DO - 10.1177/1460458215590250
M3 - Article
C2 - 26142432
AN - SCOPUS:84981335283
SN - 1460-4582
VL - 22
SP - 744
EP - 757
JO - Health Informatics Journal
JF - Health Informatics Journal
IS - 3
ER -