Pharmaceutical Automation: Key Factors in the Decision-Making Process

Like other new tools in the drug discovery process, automation, implemented properly, can generate the insight necessary to drive the pharmaceutical business forward.

Written byPhilip Blenkinsop
| 7 min read
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The use of automation across the pharmaceutical industry has increased in recent years. Although the pressures on the industry to improve efficiency and reduce costs have driven this trend, technological advances together with an increased acceptance of “automation” have also contributed to it. Today, automation is not necessarily implemented to reduce labor costs, but rather to improve experimental accuracy and workflow efficiency. In drug development — the mid-stage between discovery and clinical trials — scientists are testing many more samples to measure a drug’s characteristics so the quality of results is crucial. Automation allows highly qualified scientists to focus on analyzing results or developing new areas for research rather than the laborious and repetitive manual steps of an experimental set-up.

Choices

Small automation projects can often be implemented in their entirety by an in-house team. Large, multi-equipment projects, however, almost inevitably involve the use of an outside vendor or development agency. Deciding whether to outsource an automation project is not easy. A major consideration is whether the company has the time and resources to undertake a project inhouse that will effectively be a major distraction for some while, even if the results will enhance the core business. One of the first steps in the project life-cycle is careful process evaluation, enabling the team to determine the limitations of a specific research area or task and investigate the benefits that automation could bring. To get the most benefit, the process to be automated should be stable and consistent. If the work-flows are also complex, repetitive, and therefore prone to human error then automation is likely to generate better quality data.

Next begins the search for an equipment supplier or, ideally, an off-the-shelf solution that will do all, or nearly all, the required functions. Typically there will be gaps in the process where one instrument’s functionality will fail to overlap with the functionality of the next piece of equipment in the work-flow and this commonly leads to the continuation of manual processes to cover the gap. This is often referred to as “manned automation.”

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