Automation is playing an important role in making pharmaceutical processes more efficient. Companies that do not adapt are going to slowly lose their ability to take on new projects or to help develop new medicines relative to other firms. As with other industries, any task that is standardized and repeated frequently is an opportunity for automation. Many processes tend to include a number of simple, yet time-consuming tasks. When automated, the tasks tend to be performed more efficiently and consistently, and the work output itself is usually higher quality because the potential for human error has been removed as a potential factor. Finally, the personnel previously allocated to handling these tasks is now freed to focus on the more complex aspects and value judgements of a process, generating even greater business value.
Machines, computers, and databases have made many automations possible over the last several decades; however, these are nowhere near their maximum potential. Going forwards, artificial intelligence is helping solve a new class of problems that further increase the impact that automation is having on research and development. However, automation cannot solve all of the operational complexities.
These themes are examined in a new article:
Posted by Dr. Tim Sandle, Pharmaceutical Microbiology Resources (http://www.pharmamicroresources.com/)