Do you need help finding the ideal LIMS for your lab?

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. [Read More]

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. [Read More]

We are thrilled to announce the launch of STARLIMS Advanced Analytics 2.0, our new Advanced Analytics platform that allows customers to make critical decisions faster with better data. With a more powerful analytics engine and new capabilities like natural language processing (NLP), Advanced Analytics 2.0 will help customers make better, data-driven business decisions that improve laboratory operations and allow their organizations to drive revenue faster. [Read More]

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). [Read More]

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. [Read More]

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. [Read More]

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. [Read More]

In this 2024 work by laboratory informatics veteran Joe Liscouski, the concept of "organizational memory" within the laboratory realm and what it means for informatics systems like electronic notebooks—including electronic laboratory notebooks (ELNs)—is addressed. Liscouski argues that as artificial intelligence (AI) and large language models (LLMs) become more viable to laboratories, those laboratories stand to benefit from LLM technology in attempts to retain and act upon all sorts of data and information, from raw instrument data and test results to reports and hazardous material records. After addressing what organization memory is and means to the lab, the author discusses the flow of scientific data and information and how it relates to informatics and AI-driven systems. He then discusses the implications as they relate specifically to ELNs and other electronic notebook activities, looking specifically at a layered approach built upon open-source solutions such as Nextcloud "that can feed the [LLM] database as well as support research, development, and other laboratory activities."