Considerations in the Automation of Laboratory Procedures
This white paper by laboratory automation veteran Joe Liscouski examines what it takes to fully realize a fully integrated laboratory informatics infrastructure, a strong pivot for many labs. He begins by discussing the worries and concerns of stakeholders about automation job losses, how AI and machine learning can play a role, and what equipment may be used, He then goes into lengthy discussion about how to specifically plan for automation, and at what level (no, partial, or full automation), as well as what it might cost. The author wraps up with a brief look at the steps required for actual project management. The conclusion? "Just as the manufacturing industries transitioned from cottage industries to production lines and then to integrated production-information systems, the execution of laboratory science has to tread a similar path if the demands for laboratory results are going to be met in a financially responsible manner." This makes "laboratory automation engineering" and planning a critical component of laboratories from the start.