From Chaos to a Streamlined System: Best Practices for Laboratory Management

The main challenge for most lab employees isn't performing tests or analyzing results—it's paperwork. Paperwork is messy. Laboratory management, like it was done 50 years ago, creates problems, distracts employees from more important things, elevates errors in the lab, and wears out lab members. Heaps of paper records, Excel spreadsheets, and outdated applications don’t help. They complicate already complex lab operations.

How to solve this bottleneck and turn laboratory management into a fast and trouble-free process? The problem can be solved only with the right methods and tools. Efficient lab management starts only when the processes are tracked, registered, and organized properly, with minimum time and effort involved, to keep focus on crucial lab operations.

At 1LIMS, we’ve already helped multiple manufacturing companies set up effective lab management processes, transforming their chaotic paper-based methods and siloed systems into streamlined and cost-efficient workflows. In this article, we'll share a list of best practices for fast, reliable, and cost-efficient lab management. But first, let’s see why companies struggle with it so often.

The main challenges of lab management

Laboratory management involves a lot more than just running tests and analyzing results. It’s about keeping everything running smoothly – managing samples, coordinating staff, and ensuring all the data is registered and easily accessible.

Lab management involves:

‍

But if you ask laboratory managers, they'll tell you that this isn’t always easy, especially in large enterprises that receive hundreds of samples for testing daily. As a result, lab personnel often struggle to keep track of all processes.

Here are some of the common challenges labs face:

• Inefficient data management. One of the biggest struggles is dealing with endless paper forms, Excel sheets, and manual data transfers between systems. This was the reality for Frifag Märwil, a Swiss meat producer. They found themselves with higher operational costs, data inconsistencies, and an increased risk of errors. Their QA team was spending 55% of their time just managing data, with one person dedicating over a third of their time solely to this. Like Frifag Märwil, many labs rely on outdated processes that waste time and resources, creating room for errors.
• Workflow management hiccups. Coordinating tasks through emails, phone calls, or meetings often results in miscommunication and delays. Lab staff can easily miss important updates, forget tasks, or duplicate efforts. Without a streamlined system, managing day-to-day workflows can feel chaotic and unorganized, leading to missed deadlines and increased stress for lab personnel.
• Compliance problems. Maintaining compliance with industry regulations is a must, but manual record-keeping makes it harder to achieve. Incomplete records, missing signatures, and poorly maintained audit trails can cause serious headaches during inspections. Labs without a reliable system to ensure data accuracy risk non-compliance, which can lead to fines, lost business opportunities, and reputational damage.
• Cumbersome report generation. Manually compiling data from various sources to create reports is a tedious and error-prone process. Lab managers often spend hours trying to make sense of inconsistent data, which leads to delays in decision-making. The more fragmented the data sources, the harder it is to extract insights efficiently, leaving labs stuck with slow, labor-intensive reporting cycles.
• Resource utilization issues. Labs often aim to process more samples per hour to increase throughput, but this goal is difficult to achieve without a proper digital system. Inefficient scheduling, duplicate testing, misplaced samples, and delayed reporting hinder productivity, driving up costs and slowing operations down.
• Sample traceability chaos. Micarna, a leading meat producer in Switzerland, faced this particular problem. Without clear labeling and proper sample tracking, their lab operations turned into a labyrinth of disparate Excel spreadsheets and abundant amounts of printed paperwork, making it difficult to identify and monitor samples accurately. Similarly to Micarna, many labs have to deal with misplaced samples or labeling errors that lead to wasted resources, repeated tests, and unreliable results, disrupting the entire workflow.

What can labs do to overcome these common challenges? It starts with following best practices and using the right tools to turn lab management into a well-functioning system. Let’s explore the proven practices for lab management and see how labs can transform their daily processes into streamlined, cost-efficient workflows.

10 best practices for laboratory management

Based on our experience with manufacturing companies of all scales, here are 10 best practices that can help labs overcome common challenges and enhance their lab operations:

1. Establish standardized processes

Define and implement standardized operating procedures (SOPs) to ensure consistent, accurate testing across all lab activities. For example, using a photo database for visual assessments helps maintain consistency and reduces the likelihood of subjective errors. SOPs also serve as training guides, making it easier for new staff to get up to speed while reducing reliance on ad-hoc methods.

2. Automate risk management

Identify potential risks and automate risk assessments to proactively address issues. Set up alerts for out-of-specification (OOS) results, which will allow lab teams to react quickly before small problems turn into large ones. Risk management automation also ensures that audits are thorough and up-to-date, minimizing the risk of non-compliance penalties.

3. Integrate systems for better equipment usage

Improve teamwork by linking your laboratory management system (LIMS) with lab instruments like Metrohm titrators through OMNIS, chromatography systems, and other essential equipment. This seamless integration ensures that all team members can view data instantly and that materials are ordered promptly, enhancing the lab’s overall productivity. For example, 1LIMS is compatible with a wide range of instruments, enabling you to capture readings electronically and reduce the likelihood of human error.

‍

This integration not only prevents transcription errors but also enables you to track lab instrument calibration and maintenance schedules, ensuring that your equipment is always in optimal condition. Additionally, you can calculate final results from imported raw data within the LIMS for better accuracy in your laboratory operations.

4. Invest in data integrity and accuracy

Data integrity is crucial in lab environments. Automate data capture wherever possible to reduce errors and improve decision-making. Ensure that all employees use standardized data formats and predefined fields so that information is recorded uniformly. By storing all data in a centralized, easily accessible location, labs can streamline audits and make data retrieval fast and accurate. 1LIMS, for example, introduces a single place for all lab data, allowing everyone in the lab to easily track and register data changes. Plus, integrations with third-party systems like electronic laboratory notebooks (ELNs) and laboratory equipment allow for the automation of data capture, speeding up data management and avoiding human mistakes.

5. Monitor performance with real-time dashboards

Use real-time dashboards to keep an eye on lab processes and quality control. Real-time data means lab teams can adjust their strategies on the fly, enhancing overall performance. Dashboards allow lab managers to track productivity, spot inefficiencies, and take action before issues escalate. For example, 1LIMS provides a comprehensive dashboard that shows completed tasks, sample metrics, and overall analysis results with control charts.

‍

6. Reduce manual tasks

Focus on reducing manual tasks and automating repetitive processes to save time and resources. For instance, laboratories can adopt data management systems to save time on data input, report creation, and stakeholder communication. That’s what Micarna achieved with 1LIMS implementation – all their processes from documenting test orders to reporting results became automated, allowing them to lower per-sample analysis costs and process 50% more samples. If before 1LIMS adoption sample analysis took from three to five hours each day, now Micarna employees take no more than two hours to process incoming samples, thanks to the automation features of the new system.

7. Follow safety and compliance standards

Strict adherence to safety protocols, such as ISO, GLP, FDA, and HACCP guidelines, is essential for labs to maintain high standards and ensure compliance, especially when it comes to food safety. Use digital tools to keep comprehensive, up-to-date documentation, ensuring your lab can pass audits without any hassle. LIMS implementation makes it easier to maintain accurate records, track samples, and generate reports on demand. This helps labs avoid fines, legal issues, and reputational damage.

8. Commit to continuous improvement

Lab management should be an evolving process that embraces continuous improvement. Regular audits and reviews, supported by feedback loops, are essential for identifying areas that need optimization. Implementing a LIMS allows labs to track performance metrics, maintain safety standards, and quickly adapt to new regulations.

9. Manage lab personnel effectively

Good lab management isn’t just about technology; it’s also about people. Lab managers must navigate through schedules, assign responsibilities, and offer guidance to their staff to create a motivated and efficient laboratory setting. With tools integrated within a LIMS, managers can streamline task delegation, monitor progress, and ensure that the right personnel are available when needed.

10. Optimize sample traceability and inventory management

Labs must be able to accurately track samples throughout their lifecycle, from receipt to disposal, to avoid mix-ups, contamination, or loss. Implementing a robust system for labeling, storing, and monitoring samples helps reduce the chances of errors and enhances the ability to conduct audits fast and stress-free.

1LIMS offers built-in tools that streamline sample traceability, allowing labs to assign QR codes to samples for easy identification. This feature ensures that each sample’s journey is tracked digitally, providing lab managers with a clear overview of where samples are at any given time. Additionally, 1LIMS can be integrated with inventory management systems, which enables real-time tracking of reagents, consumables, and other lab supplies.

‍

The key to successful lab management is combining best practices with the right technology. Implementing a Laboratory Information Management System (LIMS) is essential for efficient data tracking, sample management, process automation, and more.

To adopt the right LIMS, you need to know LIMS evaluation criteria and make sure the system will allow you to achieve effective laboratory management. Let’s see the capabilities of modern LIMS with the example of 1LIMS.

How 1LIMS improves lab management

1LIMS is an intuitive cloud-based Laboratory Information Management System designed to keep lab management simple, fast, and straightforward. 1LIMS centralizes and streamlines all lab data, letting you save hours each week in managing samples, creating test reports, and passing compliance audits.

Here are the main benefits of 1LIMS:

‍

1LIMS have been adopted by multiple manufacturing companies, and they all have reported a significant difference in time and cost needed for lab data management.

‍

Are you ready to elevate your lab management? Experience the difference with 1LIMS and see how we can help you increase efficiency, reduce errors, and improve compliance. Request a demo and see 1LIMS in action – no strings attached.