While manual reporting is possible, it can be time-consuming and error-prone. A LIMS with automatic and customizable reporting features offers several benefits. The LabLynx ELab LIMS allows labs to generate reports automatically based on predefined templates and event triggers. Reports can also be customized to meet their needs, such as incorporating your lab’s logo and unique graphics, selecting the data fields to include, defining the layout, and choosing the output format.
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Artificial Intelligence (AI) has been continuously integrated into the field of clinical research. A formerly time-consuming workflow has now been shifted into an efficient process with lowered cost, less labor and improved clinical trial outcomes. As society shifts into a technology and digital driven era, it is important to see how this can be leveraged within clinical trials. We will take a look at 3 prominent ways that AI has been streamlining the clinical trial process since the shift into the digital age. AI in clinical trials will continue to become a dominant theme among clinical technology and strategy professionals for the foreseeable future.
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The promises of digital transformation for laboratories are significant. As well as enhanced processes for laboratory technicians and analysts, there’s a raft of broader business benefits too like remote working capabilities and better turnaround times. Start by building the foundations to do basics brilliantly, then accelerate your transformation with data-driven insights and emerging technologies including automation and artificial intelligence (AI) to streamline workflows and shift from a reactive to predictive quality assurance (QA).
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Nextcloud is a potentially useful solution to laboratory informatics. It removes the operating system from being a limiting factor in conducting lab work, provides levels of security missing in popular operating systems (except UNIX), and includes tools for personnel communications that could improve the ability of labs to carry out their work. However, it's likely best used in tandem with a system like a laboratory information management system (LIMS) and instrument data system (IDS). This article examines the current state of the open-source Nextcloud and how it could be applied to laboratory operations.
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The Haga Hospital in The Hague (The Netherlands), and Clinisys have been working together for 20 years. And the hospital intends to continue this cooperation for quite a while: in July, it signed a new framework agreement with Clinisys for another 10 years. But this doesn’t mean that everything will remain the same. In fact, a lot is going to happen over the next two years. As a first step, the laboratory is planning to upgrade its GLIMS Laboratory Information System (LIS). Then, it will connect a new laboratory and completely redesign the LIS.
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Decoupling data inputs from their isolated sources continues to be challenging for organizations. Data silos not only hinder organizational collaboration and decision making but also undermine an organization’s ability to unlock the potential of its most precious resource—its data. Advancements like cloud computing, platforms, and blockchain are giving most organizations the tools to transition away from traditional, physical data silos.
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Most laboratory instruments can be integrated with a LIMS to some extent, but the feasibility and ease of integration can vary significantly depending on several factors. The LabLynx ELab LIMS can interface with 98% of commercially produced instruments (simple, uni-directional, bi-directional), allowing for seamless data transfer, whether it is through file exports, FTP, APIs, or serial or network connections. LabLynx is only limited by the instrument’s ability to integrate, not ELab’s ability to integrate.
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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.Â
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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. AÂ 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. Â
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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:Â
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.Â
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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.Â
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