Author:Â Justin MarcelMany research and development centers increasingly generate and process massive amounts of data. As such, because of the volume and processing of data, in addition to the advancement of technology, laboratories need to upgrade their laboratory management and technology strategies to improve operations and minimize costs.
Within regulated labs, there has been a significant emphasis on data protection in recent years. Many of the control systems put in place to ensure safety or minimize concerns, however, are not real-time. For example, assessments performed on a monthly or quarterly basis are not only tedious, but it is all too easy to overlook inconsistencies when evaluating line after line of system updates. However, artificial intelligence (AI) could be used as a tool to identify any unusual patterns of activity or results that occur in the audit trails of informatics systems in real time.
