The Johns Hopkins Hospital analysed the anaesthesia case start and case end times from paper anaesthesia records and compared them to case start and end times generated once they were fully operational on the MetaVision Anaesthesia Information Management System (AIMS). The authors hypothesised that with an AIMS, time capture would be more accurate, and therefore more randomly distributed, because it typically requires only a click of the computer mouse rather than manual entry after the fact. The authors found significant clustering around minutes ending in 0 and 5 whenever time capture was dependent on human judgement and not recorded in an automated manner. They demonstrated that the distribution of frequency of start and end times was more uniform with an AIMS than with paper records but point out that “Even with the AIMS, however, if data is entered retrospectively into the application, human bias will remain a factor. Thus, the design of the user interface of an AIMS for entering event times can affect the accuracy of the recorded information.”