People aren’t perfect—we make mistakes. As such, human error is prevalent in pretty much any industry. In fields when optimum accuracy is of the utmost importance, however, there isn’t a lot of room for even the smallest of slip-ups. For example, if you work in a lab, slight inaccuracies can pose a serious threat to people’s safety. To learn about some of the most effective ways to reduce human error in a lab, continue reading.
Thoroughly Train Laboratory Staff
In order to minimize one of the most common sources of error in a lab, you will need to prioritize implementing proper training. Prior to starting a project, you must ensure that all staff members involved have received thorough and appropriate training on the equipment being used, the processes involved, and other pertinent factors. In doing so, you can reduce the potential for slip-ups and accidents caused by misunderstandings or a lack of adequate information.
Automate Processes When Possible
Another effective way to reduce human error in a lab is to automate processes when possible. Relying on highly specialized devices and systems to complete tasks in your lab will virtually remove the potential for human error in certain circumstances. Plus, automation can also help streamline processes, enhance worker safety, and allow laboratory staff to invest more time in other tasks that require a higher level of attention.
Make a List
It may sound overly simple, but merely making a checklist has been proven to significantly reduce human error in a laboratory. Before starting an experiment or test, instruct all laboratory workers to create a checklist of all the important tasks that they must complete. In doing so, workers can avoid missing crucial steps in the process or conducting them out of order.
Carefully Label All Samples
Carefully labeling all samples in a lab is another simple measure that laboratory personnel can take to reduce their potential for human error. By labeling samples thoroughly and providing as much detail as possible—such as when the sample was created, what it contains, and other pertinent information—the potential for using an expired or incorrect sample will be greatly reduced.
