Establish a Data-Driven Lab of the Future
Whitepaper
Published: August 21, 2023
A growing need for efficiency increasingly encourages automation and digitalization in the lab. Yet, a lab of the future not only needs the latest technology, it also needs a robust, sophisticated digital strategy to remain competitive.
Scientific data advice can help companies establish a modern informatics workflow while supporting decision-makers with evidence-based approaches to boost return on investment.
This whitepaper explores how scientists can identify and take advantage of untapped business value in existing lab data.
Download this whitepaper to discover:
- The core principles which underpin a successful lab of the future
- How to integrate LIMS software and AI-driven informatics into any lab
- Support services that provide a tailored approach from the bench to the boardroom
Inside the Lab of the Future
HOW ADVANCED TECHNOLOGIES AND OPTIMIZED LAB INFORMATICS
CAN TURN SCIENTIFIC DATA INTO A VALUABLE BUSINESS ASSET
Inside the Lab of the Future | 1
The Lab of the Future Isn’t About Digital Tools. It’s Not
Even About Labs.
The lab of the future is about the whole enterprise. It generates business
value by using advanced digital tools and techniques to make contextualized,
actionable scientific data available at the bench, in the executive boardroom,
and wherever that data can help generate revenue, accelerate innovation,
and drive meaningful business decisions.
The goal of building a lab of the future isn’t simply to eliminate paper or
implement a new digital tool. It’s to prepare your enterprise for long-term
flexibility and growth when your identity as a research company, a diagnostics
company, an oil and gas company, a consumer packaged goods company—
however you identify your business position—is no longer enough. To compete
in today’s crowded marketplace, you must also become a tech company. And
to do that, you need to recruit the lab as a key driver of innovation and insight.
In other words, your lab needs to evolve into a lab of the future. Companies
like yours are already working alongside scientific data advisors to prepare
for that evolution. This paper will help you keep up—and even get ahead—
in a future that’s rapidly approaching.
The Benefits of an AI-Driven, Interconnected Lab of the
Future are Far-Reaching
Establishing and growing a lab of the future is a complex undertaking. It requires
significant expertise in data orchestration and an ongoing investment in the best and
most advanced tools and technologies available. What makes all of this time, effort,
and continuous striving worthwhile? The answer is important, and it has implications
for individual enterprises, the customers they serve, and the world as a whole.
In this white paper, learn
how to drive growth by establishing integrated, AI-fueled
lab systems and a data-driven
corporate culture that’s
ready and resilient, no matter
what business challenges
emerge tomorrow.
The lab of
the future
customers
and patients
real
solutions
for global
problems
the
optimized
company
partnership
ecosystems
feeds
into
while
helping
generate
which
enables
to meet
needs of
Inside the Lab of the Future | 2
The lab of the future — Instead of remaining locked inside a LIMS, the lab of the future
leverages advanced technologies to make scientific data available, actionable, and immediate
for the right people at the right time.
The optimized company — Meaningful, machine-enabled analysis helps company
leadership teams identify important lessons, insights, warnings, and opportunities coded
inside scientific data, which guides their decision-making process and empowers
them to outpace competitors and navigate marketplace complexities with confidence.
Partnership ecosystems — As companies learn how to access, contextualize, and instrumentalize
huge volumes of scientific data, new practices and standards will emerge to enable and
incentivize collaboration between partners. The lab of the future will play a central role in this
collaborative era, enabling multidisciplinary research and discovery.
Customers and patients — The lab of the future will help drive positive outcomes by delivering
the precise diagnostics, advanced therapies, and high-quality, sustainable goods that patients and
customers need to live healthy, meaningful lives.
Real solutions for global problems — This push for a collaborative, data-driven future will
help companies across industries address humankind’s most complex and dynamic problems:
food insecurity, energy crises, climate change, medical-related shortages, supply chain issues,
and much more. To overcome these problems, we need innovative solutions—and to find
those solutions, we need labs of the future today.
Five Key Principles Behind Every Lab of the Future
In order to deliver on the promises outlined above, architects of the lab of the future must
base their vision around a few core principles. These principles are the foundation on which
every lab can build their future success; like north stars, they will steer you from your current
position on the digital transformation spectrum toward a fully integrated lab ecosystem
that’s purpose-fit for your company’s objectives.
Transitioning from a paper-based lab to a lab of the future generally involves three major phases: (1) moving from paper-based records to a
LIMS and adopting some digital capabilities, (2) moving to augmented lab workflows and leveraging digital twins to simulate and predict lab
outcomes, and (3) establishing a fully integrated data ecosystem within a digitally native lab. Understanding the principles that drive each
phase can help labs accelerate their transformation.
Inside the Lab of the Future | 3
FIRST PRINCIPLE
In a lab of the future, data is at the forefront of building intelligence
For a lab at the beginning of their digital transformation journey, applying this principle
could mean moving from manual data management to a LIMS; as they move deeper
into their transformation, this principle means connecting all lab systems—their LIMS,
ELN, LES, and SDMS—into an optimized informatics landscape. From there, labs can
integrate tools like artificial intelligence into their data strategy, which can enhance both
upstream data capture and downstream data analysis in ways that simply aren’t possible
with siloed systems and human interventions alone.
SECOND PRINCIPLE
A lab of the future maximizes interconnection and automation
In a lab of the future, instruments exchange data and interface seamlessly with lab
systems, freeing operators from repetitive data-related tasks and reducing the risk of
lost productivity due to human error.
THIRD PRINCIPLE
A lab of the future purposefully adopts today’s best digital tools
When it comes to leveraging artificial intelligence and other best-in-class tools and
techniques, you won’t hear leaders of a lab of the future using phrases like “we thought
we’d play around with it” or “let’s just test it out.” Instead, they are deeply committed
to sharpening their competitive advantage by tactically and strategically putting today’s
proven and emerging technologies to work in a commercially meaningful way.
FOURTH PRINCIPLE
A lab of the future delivers accurate intelligence in real time
In today’s accelerated post-2020 world, labs can’t afford to wait even a few minutes for a
data dashboard to update. From accelerating research and clinical development to moving
products to market at warp speed, companies and the customers and patients who rely
on them need smart, real-time analytics. The lab of the future remedies this by delivering
immediate insights that lab operators across R&D and Quality can trust.
FIFTH PRINCIPLE
Company leaders can measure the ROI of their lab of the future
To take your lab to a new level, you need to know exactly how your investment in digitalization will pay off. The lab of the future, whose design and operation is predicated on
intelligence-driven systems, helps corporate leadership measure this ROI transparently,
predictably, and accurately. That’s the beauty of freeing scientific data from the “black box”
of lab systems and integrating it into the enterprise data lake—not only does it help the
lab plan its next best steps, it helps the organization as a whole make strategic, knowledgeable investments in the future of their operation.
MORE THAN NEW SOFTWARE
If you’re building a lab of the future,
you’re not simply buying products
such as a LIMS or an ELN; you’re
establishing a new state of mind,
and backing it with a robust, digitally
sophisticated strategy.
Inside the Lab of the Future | 4
The role of artificial intelligence, machine learning, and other
advanced technologies
AI and other advanced technologies can advance science and lead to better outcomes –
whether reducing risk in quality labs or accelerating discovery in pharma R&D.
How? By giving lab staff, from technicians to investigators to data scientists, the ability
to accomplish in seconds what used to take hours, days, or even weeks. Previously
impossible tasks are now possible with AI:
• Improve operational performance by predicting and proactively preparing for
demands of laboratory resources
• By analyzing vast amounts of data faster than humanly possible, surface potential
new treatments much faster
• Identify patterns and correlations in complex datasets that may not be apparent to
human researchers; gain insights from incomparable datasets
• Analyze past or real-time operational data to predict future risk of failure or
out-of-spec results
• Automate everything from scheduling and risk assessment to sample preparation
and processing
In one use case, AI and machine learning (ML) returned more than five times a
company’s investment in just three years by delivering automated processes with
97% quality and immediately reducing the processing time for “bad” batches.
How to Position Your Lab for the Future
Every lab has to define their own unique pathway from their current state to the digitally
advanced, data-driven ideal. Your company’s business objectives, your competitors, your
position in the marketplace, your current and aspirational capabilities at the bench—each
of these factors and many others will determine exactly when and how you should advance
through successive phases of digital transformation. In our experience, the smoothest and
most effective transformations start with a common first step.
Find a Scientific Data Advisor That Understands Your Vision
What is a scientific data advisor?
A scientific data advisor is someone who recognizes the complex path between labgenerated insights and enterprise-level decision-making, and who has the skills and
experience to grease that path using today’s most advanced technologies.
As your bench-to-boardroom expert, your scientific data advisor will help you establish
a modern informatics strategy in the lab while working alongside your ERP or CRM
advisors at the enterprise level. Their goal is to ensure that your company’s decisionmakers can access, understand, and—most importantly—use your lab data to drive
your business forward.
LAY THE GROUNDWORK FOR
A CULTURAL SHIFT
When it comes to establishing a lab
of the future, investing in your workforce matters just as much as investing
in the right technologies. Your scientific
data advisor can help you develop
a change management strategy
designed to educate, retrain, and
inspire employees in preparation for
this data-driven future.
What should you look for in a scientific data advisor?
Look for someone with a background that goes beyond buzzwords. An effective scientific
data advisor has spent years not just talking about digital transformation, but actually
making it happen. They’ve helped companies like yours outperform competitors by
revolutionizing their labs from the inside out, using the right digital technologies, the right
data architecture, and the right future-facing mindset to make real and meaningful
change happen at the core of the business.
Most importantly, a strong scientific data advisor is committed to evolving in step with
tomorrow’s technologies. As new capabilities emerge, like AI-driven approaches to semantic
search or novel applications for intelligent instruments, they’re already at the front of the
wave, using, testing, and tailoring that technology so you can get the most from it, in the
most efficient way.
How can a scientific data advisor help you take your next steps toward establishing
a true lab of the future?
A good scientific data advisor will tailor their approach according to your business drivers,
your current level of lab digitalization, and many other factors. That tailored approach
might include:
• Helping you establish an end-to-end data ecosystem in your lab, aligning R&D activities
to QC testing and every step in between.
• Identifying untapped business value in your lab data and establishing the technological
and operational protocols necessary to bring that value into the boardroom.
• Integrating artificial intelligence and machine learning into the lab in an effective and
rationalized way.
• Solving scientific data lake challenges across the organization to develop a more
harmonized, centralized approach to collecting and instrumentalizing lab data.
Where do people belong in a Lab of the Future world?
Within all the hype that surrounds discussions of digital transformation and labs of
the future, you’ll often find an undercurrent of anxiety: what will happen to human
operators as labs strive for more automation, digitalization, and efficiency?
Here’s the thing: when it’s undertaken responsibly and aligned with a realistic, sustainable vision of future success, building a lab of the future is not about replacing people
in the lab—it’s about freeing those people from repetitive, arduous tasks so they can
take on higher-value work.
Given that demand for lab scientists is actually increasing (the Bureau of Labor Statistics
expects employment of medical scientists to grow by 17% over the next several years1
),
now is the time to make these changes. Instead of preparing samples, entering data,
generating CoAs, and managing inventory, operators in a lab of the future are busy
applying their skills and experience where they have the greatest impact: driving
innovation, achieving scientific breakthroughs, and building close alignment between
lab objectives and the overall needs of the company and its customers.
Inside the Lab of the Future | 5
ABOUT LABVANTAGE SOLUTIONS
A recognized leader in enterprise laboratory software solutions, LabVantage Solutions dedicates itself to improving customer outcomes by
transforming data into knowledge. The LabVantage informatics platform is highly configurable, integrated across a common architecture, and 100%
browser-based to support hundreds of concurrent users. Deployed on-premise, via the cloud, or SaaS, it seamlessly interfaces with instruments and
other enterprise systems – enabling true digital transformation. The platform consists of the most modern laboratory information management
system (LIMS) available, integrated electronic laboratory notebook (ELN), laboratory execution system (LES), scientific data management system
(SDMS), and our advanced analytics solution (LabVantage Analytics); and for healthcare settings, a laboratory information system (LIS). We support
more than 1500 global customer sites in the life sciences, pharmaceutical, medical device, biobank, food & beverage, consumer packaged goods,
oil & gas, genetics/diagnostics, and healthcare industries. Headquartered in Somerset, NJ., with global offices, LabVantage has, for four decades,
offered its comprehensive portfolio of products and services to enable customers to innovate faster in the R&D cycle, improve manufactured
product quality, achieve accurate record-keeping, and comply with regulatory requirements. For more information, visit labvantage.com.
For more information, visit www.labvantage.com.
©2023 LabVantage Solutions, Inc. All rights reserved. LabVantage is a registered trademark of LabVantage Solutions, Inc. Other product or service names mentioned herein are the trademarks of their respective owners. 2023-04
LabVantage Solutions, Inc.
265 Davidson Avenue, Suite 220
Somerset, NJ 08873
Phone: +1 (908) 707-4100
www.labvantage.com
From Aspiration to Success Story
What matters most is your vision of the lab of the future. That vision won’t come from
a white paper—it will come from within your company. The key: find scientific data
advisors who will take the time to really understand that vision, and who have the skills
to help you achieve it.
At LabVantage, we work with our customers to do just that. We see the laboratory
as the heart of the enterprise, and it’s our mission to help you reimagine your digital
strategy and harness your scientific data as a catalyst for your company’s future flexibility, growth, and meaningful contribution to your industry. From your first step out
of Excel and into our best-in-class LIMS software to your adoption of an AI-driven lab
informatics platform, we offer the technologies you need as you move toward your
lab of the future—and the right expertise and experience to help you map each step
along the way.
TO LEARN MORE ABOUT how our team can make your lab of the future come
to life, contact us at info@labvantage.com or visit labvantage.com.
REFERENCES
1 Source: https://www.bls.gov/ooh/life-physical-and-social-science/medical-scientists.htm
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