Welcome to the next generation of laboratory management software! OnQ Software is excited to announce the launch of QLIMS New Version 9.4, our latest update packed with new features and enhancements designed to streamline your laboratory operations.
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Forensics and medical examiners' labs can be diverse places, with a wide variety of disciplines and sub-disciplines, creating a wide variety of information and data and requiring a wide variety of methods and procedures. A base set of forensic science LIMS functionality can improve efficiencies, manage workflows, improve information and data security, and better provide integrity to evidence and data provenance through chain of custody and audit trail mechanisms.
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As demands on laboratories continue to soar, researchers, scientists, and lab managers find themselves in a race against time, struggling to keep up with increasing sample volumes, complex workflows, and stringent quality standards. A laboratory information management system (LIMS) can be the ultimate game-changer, offering a transformative solution that saves time and resources, supercharges productivity, enhances data integrity, and provides a competitive advantage.
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Depending on how long you have been working in the lab informatics industry, you may have noticed that the list of acronyms feels almost endless. Since this blog was first written more than 10 years ago, that list of acronyms has only grown. This blog post updates the original list to provide insight into an expanded list of the most common acronyms.
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When selecting a laboratory information management system (LIMS), whether it’s your first or you’re replacing an existing solution, the temptation is to concentrate solely on your user requirements. It really does make sense to document these and match them to the features of potential LIMS products. However, remember that it is extremely unlikely, if not impossible, that any LIMS will exactly meet your needs when delivered out-of-the-box, and anyway those needs will certainly change over time.
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LabTwin is built on three pillars—its AI-powered large language model, its integration with the lab informatics landscape, and its support for general good practices (GxP); whether manufacturing, clinical, laboratory, or documentation. A prior blog post described how the AI features in the LabTwin voice-powered digital lab assistant support the Lab of the Future. Here, we’ll look at the second pillar that underlies LabTwin’s software and support for GxP organizations.
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A food and beverage lab's LIMS can revolutionize incident and corrective action management by ensuring quality outcomes, swiftly identifying incidents, and implementing effective corrective measures. With cutting-edge functionality like sample management and tracking, audit trails, and incident management tools, the LIMS empowers food and beverage businesses to improve how it identifies, reacts, corrects, and prevents such future incidents.
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R&D leaders face growing pressure to innovate quickly and cost-effectively. However, manual paper-based data collection methods stifle innovation, while outdated systems slow productivity and introduce data quality and traceability issues. We explored this topic in our webinar:
Revolutionizing Research: Enhancing Experiment Efficiency with an ELN. In this webinar we explore the history of scientific documentation, the importance of data quality, and the benefits of using modern ELN technology to advance innovation.
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Artificial Intelligence (AI) is revolutionising the way laboratories operate, offering new capabilities that improve efficiency, accuracy, and innovation. From automation to predictive analytics, AI is transforming every aspect of laboratory workflows. Let’s explore some key AI trends that are reshaping the field of laboratory science.
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As technology advances and regulatory requirements evolve, labs must adapt to ensure efficiency, compliance, and optimal performance. One critical aspect of this adaptation is replacing outdated Laboratory Information Management Systems (LIMS) with modern, feature-rich solutions. Decide when to replace your existing LIMS with some critical considerations, including how modern LIMS solutions can streamline workflows, enhance compliance, and unlock future possibilities.
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Enterprises, including laboratories, want to capitalise on complex, data-intensive AI/ML and advanced analytics workloads that involve petabytes of data. To accomplish that, they are reprioritising data as an organizational asset and reestablishing their enterprise information architecture around data models that are designed to generate reliable, structured data.
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The most important features of a LIMS may vary depending on your specific laboratory requirements and long-term goals, but core features include sample tracking, workflow management, and reporting. However, there are additional features that are expected from a modern, professional LIMS. These features are driven by the underlying purpose of a LIMS—helping labs efficiently produce timely, accurate, and repeatable results—and by regulatory, standard, management, and economic pressures.
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As a long-time supplier to the Environmental and Water & Waste Water public sector we understand that lab managers are facing pressure to meet testing demands with fewer resources. They need to do more with less and identify workload issues or bottlenecks. This is where QLIMS comes in. With a large global presence, we understand the fundamental issues our customers are facing. In this blog post, we will dive into QLIMS features for Water and Environmental Testing.
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ISO/IEC 17025:2017 impacts laboratories by placing some burdens on the lab to improve quality, while the lab also realizes several benefits. Various laboratory workflow requirements must be met, from generalized requirements to more narrowly focused commitments. Benefits include expanding business opportunities, controlling waste and costs, improving measurement accuracy, improving productivity, efficiency, and turnaround times, and gaining happier customers.
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The outlook for lab technology trends in 2024 promises to capitalize on the foundations of the Lab of the Future concept. While Digital Transformation has ushered in a new era of digitalization and optimized laboratory workflows, cloud computing has provided an affordable, scalable IT framework with access to an array of novel applications to support this vision further. The widespread use of Artificial Intelligence (AI) has propelled digital capabilities, leading to unprecedented scientific advancement.
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Elypta is on a mission to revolutionize early cancer detection with a pioneering metabolism-based liquid biopsy. Elypta’s research relies heavily on the simultaneous analysis of thousands of samples, which lacked a consistent cataloging process. This inconsistency posed difficulties for research teams in managing, updating, and tracking thousands of samples effectively. Learn how the Labstep ELN from STARLIMS enhanced Elypta’s R&D speed and productivity by keeping data secure, traceable, and collaborative.
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The safety, quality, and suitability of construction materials for a given construction task is paramount, and this is better ensured with lab testing. Not only are fasteners, lumber, and adhesives tested, but also the underlying soil and rock of a construction site. A wide range of materials (e.g., wood, iron, concrete, shingles) are tested using standardized test methods, measuring properties such as tensile strength, water penetration, and impact resistance.
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Learn how to optimize existing tools and embrace emerging technologies like artificial intelligence, data science, simulations, analytics, and lab informatics integrations for enhanced daily operations at this virtual conference - April 3 - 4, 2024. Gain insights on deriving additional value from organizational data, deepen your understanding of AI and digital twins, and be an early adopter of integration platforms and digital transformations.
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Interoperability and integration are important to today's laboratories. Integration is a critical enabler for access, exchange, and cooperative use of data and information, the other components of interoperability. Whether it's a middleware solution, a LIMS, or a custom automation solution, each lab will need to address interoperability and integration in the greater scope of data, data standards, systems, workflows, inefficiencies, and organizational risks.
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FDA is gradually tightening the rules on food testing labs to mandate that, under certain circumstances, food testing must be performed only by LAAF-accredited laboratories. This article discusses how this affects contract testing labs and how the can comply with the amendments to Food Safety Modernization Act. The introduction of a laboratory accreditation program for food testing labs by the U.S. Food and Drug Administration (FDA) is intended to improve the testing of food under certain circumstances.
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