Digital transformation of the laboratories

Abstract

The scientific world is evolving; laboratory processes that were once entirely manual are being optimized through automation and data connectivity. While documents previously had to be printed, signed, and physically stored in boxes, the recent developments of data management systems and software platforms allow scientists to sign and store electronic records in a secure and future-proof format. Advanced analytics solutions, such as artificial intelligence and machine learning, are being used to connect, collate and analyse data from different facilities around the globe. Digital transformation is occurring in many aspects of the everyday life, from the ability to control household appliances through apps, to monitoring our health through wearable devices. But it is not just happening at home: the fourth industrial revolution is already in full expansion and digital technologies connect automated processes and equipment, monitor and control supply chains and work alongside robots programmed to leverage artificial intelligence (AI). The decision to digitally transform the laboratory is not without its challenges. New methodologies need to be evaluated and approved by the relevant regulatory body. The diverse scope of applications around the world makes it difficult for organizations looking to adopt such capabilities, despite the potential benefits. In addition to exploring the benefits and challenges of digital transformation, this article will show how new and practical solutions can be integrated to increase laboratory productivity and accelerate scientific research.