Steady advances in technology have vastly improved the productivity, performance and predictability of scientific work in laboratories for life science organizations. But many challenges remain. Fragmented manual processes, isolated information systems, inconsistencies in methodologies and reliance on paper records can lead to inefficiencies and increased compliance risk.
To stay competitive, today’s life science firms need to implement systems for standardizing the processes that are followed during development, manufacturing and quality assurance/quality control (QA/QC). Standard processes are critical for establishing efficient lab environments, fostering communication among teams, and facilitating externalization for various parts of the development and manufacturing process.
Creating standardized processes, methodologies and data sets can help life science organizations overcome many of these perennial problems. Standardization can also pave the way for critical paradigm shifts by supporting emerging adjacent technologies such as augmented display, motion control and the automatic identification of lab materials, equipment and lab personnel.
In the future, these adjacent technologies will enable new ways of working in and around the laboratory. Companies will derive more value from their data and eliminate inefficiencies as they attain a more complete understanding of their processes.
Enabling technologies such as augmented display, motion control and automatic identification all come into play here. But in order for these technologies to improve lab efficiency, there must be a standardized way of understanding people, materials, processes and equipment.