Effects of automated versus manual record keeping on anesthesiologists' performance : A simulation study

Man-kei TSE, Tsz-hin CHIU, Chuen-ho CHEUNG, Chun-pong CHENG, Ka-man LAM, Chung-wai LAU, Simon Y. W. LI

Research output: Journal PublicationsJournal Article (refereed)peer-review

1 Citation (Scopus)

Abstract

Anesthesia Information Management System (AIMS) allows automatic importing real-time vital signs from physiological monitors to replace anesthesiologists’ traditional manual record keeping. It has been increasingly implemented in operating theater to provide an automated anesthesia record. At least 84% of all residency programs are expected to adopt AIMS between 2018 and 2020 (Stol, Ehrenfeld, & Epstein, 2014). Yet despite the increasing popularity of AIMS, only a handful of studies have examined the impact of automated record keeping on anesthesiologists’ performance (i.e. vigilance, situation awareness (SA) and mental workload). For example, various studies had examined the effect of automated record keeping on anesthesiologists’ vigilance but produced mixed results (Allard, Dzwonczyk, Yablok, Block, & McDonald, 1995; Kay and Neal, 1986; Loeb, 1995; Weinger, Herndon, & Gaba, 1997; Yablok,1990).The current study compared the effects of two recordkeeping methods (automated vs. manual) on anesthesiologists’ vigilance, SA and mental workload.
Original languageEnglish
Pages (from-to)593-594
Number of pages2
JournalProceedings of the Human Factors and Ergonomics Society
Volume62
Issue number1
Early online date27 Sept 2018
DOIs
Publication statusPublished - Sept 2018
Event62nd International Annual Meeting of the Human Factors and Ergonomics Society - Philadelphia Marriott, Philadelphia, United States
Duration: 1 Oct 20185 Oct 2018
http://cms.hfes.org/Cms/media/CmsImages/HFES-2018-Annual-Meeting-Program.pdf

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