{"title":"Monitoring the Location of Staff via Mobile Devices in a Large Multifacility Practice Group.","authors":"C. W. Connor, Michael Herzig","doi":"10.1213/XAA.0000000000000288","DOIUrl":null,"url":null,"abstract":"We describe a novel location and timekeeping system for a large, multifacility practice group using an app installed on mobile devices belonging to the staff. The system can be used independently of physical time clocks and without extracting information from anesthesia information management systems. The app creates geofences, reporting automatically when the user enters or departs the vicinity of a facility. The app displays the location of staff at all facilities, providing situational awareness. The leaving order of staff was adjusted daily using app data for the previous workload. This was successful; overtime was more evenly distributed year on year. Acceptance of the system was excellent.","PeriodicalId":6824,"journal":{"name":"A&A Case Reports ","volume":"2019 1","pages":"320-8"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"A&A Case Reports ","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1213/XAA.0000000000000288","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
We describe a novel location and timekeeping system for a large, multifacility practice group using an app installed on mobile devices belonging to the staff. The system can be used independently of physical time clocks and without extracting information from anesthesia information management systems. The app creates geofences, reporting automatically when the user enters or departs the vicinity of a facility. The app displays the location of staff at all facilities, providing situational awareness. The leaving order of staff was adjusted daily using app data for the previous workload. This was successful; overtime was more evenly distributed year on year. Acceptance of the system was excellent.