Welcome to the Future of Lab Operations: Digitizing Lab Operations

In the rapidly advancing world of life sciences, the lab of tomorrow is being shaped today by digital innovation. The key to accelerating scientific progress lies in the effective integration of digital technologies into lab operations, transforming how labs function and driving increased efficiency, productivity, and sustainability.

At the heart of this transformation is digitization—a continuous process of technological evolution that empowers scientists to move faster and make breakthrough discoveries.

The Current State of Digital Technology in Global Labs

Across industries, digital transformation investments are soaring, with $1.97 trillion forecasted to be spent globally in 2022 alone. In life sciences, significant investments are being made in digital transformation, particularly in research and development (R&D) and quality control (QC) labs. However, research indicates that many organizations are still in the early stages of integrating digital solutions, with 40% of industry leaders not yet applying digital tools to their R&D or QC labs.

Despite these challenges, there are clear signs of progress. Over 77% of decision-makers in R&D report using connected Internet of Things (IoT) technologies, and nearly 37% have adopted automated analysis in their labs. These technologies help automate repetitive tasks, increasing throughput and contributing to more sophisticated data collection. However, challenges persist—especially with data integration—as many high-throughput machines generate data that is not easily connected or integrated, often requiring manual entry that increases the risk of errors.

Fragmentation in Information and Process Flows

A major barrier to progress is the fragmented flow of information. Many labs still operate with standalone automated tools that don’t communicate with each other, requiring manual movement of data into spreadsheets or other systems. This inefficiency not only slows down workflows but also creates the risk of errors and impacts the chain of custody needed for regulatory compliance and collaboration.

Additionally, manual processes are still widely used in supply chain and inventory management. Overordering and stock-outs remain a challenge, while wasteful practices such as the accumulation of expired materials continue to plague sustainability efforts.

Vision for a Connected, Optimized Lab

The future of lab operations lies in digital connectivity and optimization. A fully integrated digital ecosystem can enable real-time data exchange across lab systems, improving the accuracy and speed of research. By embedding IoT systems such as smart shelves, RFID tracking, and automated service requests (e.g., smart buttons), labs can reduce manual data entry and improve inventory management.

This interconnected approach can also help labs become more sustainable, reducing excess energy use, chemical waste, and material waste. More efficient lab operations can ultimately lead to faster, more accurate scientific results and enhance collaboration among researchers.

Tools Advancing Lab Digitalization

Several digital innovations are already helping labs improve the flow of information and streamline operations:

  • Smart Shelves: These systems use sensors to track material levels and automatically reorder supplies when they run low, preventing both stock-outs and overordering.
  • Smart Buttons: Researchers can request services like waste removal or material replenishment directly from their workstations, digitizing routine tasks to improve workflow efficiency.
  • Digital Twins: Virtual models of the lab simulate real-time resource usage, enabling predictive analysis for better demand planning, resource allocation, and workflow optimization.

These technologies are driving lab transformation by providing real-time insights and improving supply chain efficiency, resulting in faster and more productive research environments.

Moving Digitalization Forward

To fully realize the potential of lab digitalization, a systematic approach blending hardware, software, and workflow redesign is essential. Avantor’s SmartScience initiative offers scalable solutions designed to foster innovation and improve lab productivity. The initiative encompasses a range of tools including:

  • Digital software for lab inventory, chemical management, and equipment tracking
  • IoT devices like smart buttons, vending machines, and hand-held scanners for enhanced connectivity and process optimization

With these solutions, life sciences labs can propel forward with enhanced collaboration, data-driven decision-making, and more sustainable practices—ultimately accelerating scientific discovery and innovation.

This article is posted at avantorsciences.com

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