LIMS & Lab Automation
The Lab of the Future: Optimised Lab Informatics Transform Scientifi c Data into Strategic Business Assets
LabVantage Solutions
Rapidly changing technology is creating a new era in lab management. Labs of all types, from pharmaceutical research to forensic science, are undergoing digital transformations as they embrace cloud technologies, automated processes, data-driven insights, and enhanced innovation and collaboration among scientists and vendor partners. The potential gains are staggering. As sound scientifi c principles and business innovation merge, investment dollars will go further, opening new doors. Labs of the future will drive a new generation of scientifi c exploration and global problem-solving. It all starts with the informatics platform.
Why integrated AI is so important
to a modern lab While AI is probably the most talked about technology today, it is often misunderstood. For a lab, integrated AI technology is highly valuable. By increasing and accelerating understanding, it can provide better outcomes, reduce risk, and speed discovery. It gives lab staff, from technicians to data scientists, the ability to accomplish in seconds what used to take hours, days, or even weeks. AI helps to:
• Predict and proactively prepare for demands of laboratory resources
• Analyse vast amounts of data faster than humanly possible, surfacing potential new treatments much faster
• Identify patterns and correlations in complex datasets that may not be apparent to human researchers
• Analyse past or real-time operational data to predict future risk of failure or out-of-spec results
The call for change is loud and clear
Many progressive labs have started their transformation journey and are now seeing signs of rewards. Thanks to modern lab informatics platforms, featuring advanced analytics and delivered via SaaS, organisations now can imagine their future with more clarity. The benefi ts are less vague and more clearly defi ned by time savings and value to customer/patients.
To compete in a crowded marketplace, organisations must optimise advanced technology. The lab can play a key role in driving scientifi c insight as well as business strategy. The impact on operations and the bottom-line is hard to ignore:
• Data sharing. The lab of the future makes scientifi c data available, actionable, and immediate for the right people at the right time.
• Decision making. Artifi cial intelligence (AI) and machine learning help teams draw insights quickly and make well-informed decisions with confi dence.
• Productivity. As redundancies are eliminated and tedious steps are automated, effi ciency is improved.
• Workforce satisfaction. When the frustrating minutia is eliminated along with error- prone order entry and manual record keeping, recruiting and retention of workers can be boosted.
• Quality control. As the various teams start to eliminate silos and collaborate, overall accuracy, speed, and consistency are increased.
• Growth. Patient/customer satisfaction leads to more business, more opportunities to expand into other regions, products, or more service offerings.
• Partnerships. As organisations manage more data and insights, new best practices will emerge, including the desire to partner with other industry leaders.
With the right technology to back it, any lab can move to the forefront of modern science and business innovation. It can play a central role in this emerging collaborative era, where multidisciplinary research helps solve world problems. Advanced technology is the impetus enabling change, at the local level and beyond. The company’s digital informatics platform is the foundation that holds the many moving pieces together.
• Automate tasks from scheduling and risk assessment to sample preparation and processing
Six steps to get started on the journey to becoming a lab of the future
1. Turn data into a strategy
Becoming a lab of the future begins with managing data. A Laboratory Information Management Solution (LIMS) is critical. The LIMS should also be a platform with embedded capabilities for Electronic Laboratory Notebook (ELN), Laboratory Execution System (LES), Scientifi c Data Management System (SDMS), and AI-driven Analytics. With one end-to-end connected platform, data can be viewed as a strategic component, in both upstream data capture and downstream data analysis – in ways that aren’t possible with siloed systems and human interventions alone.
2. Connect and automate
Leverage SDMS to connect instruments so they can exchange data and interface seamlessly with lab systems. This frees operators from repetitive data-related tasks and reduces the risk of errors. The connectivity also improves visibility and allows the data to be analysed and shared.
3. Commit to best-in-class processes
Rather than experiment, labs of the future commit to sharpening their competitive advantages though proven best practices in every aspect of the operation, from managing the workforce to quality control, cyber security, and data analytics for better managing resources.
4. Leverage real-time insights
Time is valuable. Labs must operate on real-time insights. Whether it is accelerating research, diagnosis or moving products to market quickly, laps must deliver immediate insights so stakeholders can make decisions and take actions.
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