Fig. 1. Example of the data cleaning and template matching process. The initial raw data stream in the boxed list on the  left displays the full sequence of time stamp/location/event statements as extracted from the indoor positioning system (IPS). Data are cleaned to remove redundant and uninformative events, resulting in the boxed list in the  middle . This cleaned data stream is then mapped onto clinical areas and matched to the established workflow process template, resulting in the short boxed list on the  right . ACC = ambulatory care center; OR = operating room; PACU = postanesthesia care unit; SDSU = same-day surgery unit. 

Fig. 1. Example of the data cleaning and template matching process. The initial raw data stream in the boxed list on the  left displays the full sequence of time stamp/location/event statements as extracted from the indoor positioning system (IPS). Data are cleaned to remove redundant and uninformative events, resulting in the boxed list in the  middle . This cleaned data stream is then mapped onto clinical areas and matched to the established workflow process template, resulting in the short boxed list on the  right . ACC = ambulatory care center; OR = operating room; PACU = postanesthesia care unit; SDSU = same-day surgery unit. 

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