In the coming five to ten years, emerging technologies will drastically change the way analysts interact with equipment and processes in the labs. Such technologies include advanced analytics, AI/ML, robotics and advanced planning and scheduling, and automation. Based on a recent report, we can already see that these innovations will make laboratories more agile, reliable, compliant, and efficient—but how can you make lab digitalization work for you to get tangible results? Below, I briefly outline the six key metrics that are positively impacted by investing in digital transformation for your laboratory.
What should we expect from digitalization?
McKinsey & Company recently revealed some insights into what the impact of digitalization was for the first real-life use cases in the market. Their research is based on some of the few labs that are already a long way along the path to digitalization. In numbers:
- 30 to 40 % increase in productivity for mature and efficient lab environments
- More than 50 % reduction in overall quality-control costs
- An average chemical QC lab can reduce costs by 25 to 45 %
- An average microbiology lab would be in the 15 to 35 % range
- 65 % reduction in deviations
- Over 90 % faster closure times
- Decrease of QC-lab lead times by 60 to 70 %
- Reduction of the investigation workloads by as much as 90 %
Impressive, what is causing this impact?
These improvements can mainly be attributed to the elimination of up to 80% of manual documentation work and in parallel to the automation, and especially optimization, of planning and scheduling to improve personnel, equipment, and materials utilization.
Moreover, digital-enabled labs are typically characterized by automated data transcription between systems via direct interfaces and the possibility to create insights by applying advanced data analytics to optimize your schedule.
Why isn’t everyone increasing the level of digitalization in their labs?
The numbers look spectacular. Why don’t all labs engage in increasing the level of digitalization and automation? What is keeping them from implementing systems that automate and optimize their planning/scheduling? According to McKinsey & Company, there are two principal reasons.
- Firstly, many of the companies that are lagging still target fully tested end-to-end future-state prototypes rather than testing and rapidly scaling up digital solutions to obtain quick wins.
- Secondly, today we still see quality leaders often struggling to define clear business cases for the required technological changes, which makes it hard to convince the upper management on the benefits delivered by lab digitization.
What is the Binocs perspective?
At this moment, more than half of the big-pharma companies have selected or are evaluating Binocs as a digital twin for planning, scheduling and performance management of their QC and R&D labs. As opposed to four years back, when we launched Binocs, pharma companies have made their digital roadmap and prepare RFPs for massive roll-out programs. This is a clear indicator that digital lean in labs has reached the top three on the strategic agenda.
Want to find out how Binocs can make lab digitalization work for you? Request your free demo tour!
Binocs is mentioned in the latest Gartner report as an innovative tool to optimize RCTs via study planning and management. Find out why!Read more
Gartner picks up the relevance of resource planning in QC and R&D labs and positions BinocsIn a recent report, Michael Shanler summarized recommendations for the digitalized lab of the future. (“Life Science’s Lab Informatics Digital Criteria to Separate Vendor Leaders From Laggards”, 20 December…Read more
Boston Consulting Group and Binocs join forces to create the “lab of the future”In the coming months, Boston Consulting Group will be guiding laboratory representatives from all over the world through a “lab of the future” demo setup in the National Institute…Read more
Pavèl was an Implementation Consultant for Binocs.