With 2022 seemingly finishing just as fast as it arrived here are the upcoming events that you can meet either the OnQ Software team or one of our esteemed partners
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Many research and development centers increasingly generate and process massive amounts of data. As such, because of the volume and processing of data, in addition to the advancement of technology, laboratories need to upgrade their laboratory management and technology strategies to improve operations and minimize costs.
Within regulated labs, there has been a significant emphasis on data protection in recent years. Many of the control systems put in place to ensure safety or minimize concerns, however, are not real-time.
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Data integrity refers to the overall completeness, accuracy and consistency of data during its entire life cycle. Though seems simple, the whole process of genuinely generating, maintaining & transforming data with completeness and accuracy is a challenging task for any organization. This white paper discusses the issues faced by organizations in achieving data integrity and briefly describes how and what technology can be effectively used to achieve better data integrity.
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The history of laboratory informatics began in earnest with the commercialization of instrument data systems and
LIMS software, the latter having the larger impact since it could affect the entire lab’s productivity and benefit the organization it supports. That software found a home in both industrial Research & Development,
Manufacturing, and
Healthcare (clinical laboratories). In each of these situations, LIMS provided a means of organizing and managing testing workflows and streamlining operations.
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Automatically recording the Chain of Custody (CoC) for an item is essential when it is necessary to track an item throughout its lifetime. A CoC will, for example record the location of an item, showing where it is now as well as where it has been. A comprehensive CoC, however, must record more than just the location history of an item; for example, it can be important to know who is, and who has been, responsible for an item during its lifetime.
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In the modern industrial era, data sharing provides a great stimulus to scientific advancement by enhancing transparency, improving collaboration, accelerating research and driving better decision-making. In areas such as public health, data sharing is very vital and critical during emergency situations such as outbreaks of infectious diseases.
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The biopharmaceutical industry can become sustainable. Several leading drug developers are determined to achieve net zero carbon emissions within the next 25 years and are enhancing efficiency in all aspects of their operations to meet this goal. In the lab, using a lab information management system (LIMS) to track and manage assets, data and reports is one way to do that.
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In today’s job market, where candidates have more choices than ever before, companies must focus on creating a positive and fast hiring process.
How can you improve your hiring process? Below are questions that will help you identify areas where your process may need improvement.
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Your laboratory’s total testing process begins and ends far beyond your laboratory’s walls. Sources of human error can creep into your test results at many points along the process chain. Yet, as our guide “
Improve Laboratory Accuracy and Reporting Quality with a LIMS” notes, people often forget the importance of the final step: your customers’ interpretation of the results. This article addresses how
LabLynx LIMS software can help you design better, more readable reports to, in turn, help your customers make better decisions.
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Straight on the heels of a
COVID resurgence this summer, US laboratories are bracing for yet another swing in their seemingly ever-changing staffing and resource needs to address new clinical and wastewater testing for human monkeypox virus (hMPXV).
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Data Fabric is a hot topic buzzword today. We think of Data Fabric as the way of creating an abstraction from the underlying technology. Allowing the data to be exposed at the top level as business objects that are semantically related. This can be thought of as a weaving together of data from internal silos and external sources that creates a network of information to power the business’ applications, AI, and analytics.
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Electronic Laboratory Notebook (ELN) plays a vital role in the laboratories in the areas of bench level analysis, and point of analysis by providing real-time automation and control of testing procedures. Cloud-based ELNs ensure that procedures are carried out in an automated manner by the way direct integration with instruments (i.e. data is collected directly from instruments), the computations are performed, and inventory is checked and updated.
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Develop Effective Training for your Pharmacovigilance System. Conduct it Early. Employee participation in training–prior to go-live of your Pharmacovigilance System–is critical to enhancing comfort key to realizing the full benefit of a new software system. Software training for your pharmacovigilance system is most effective when it is focused on the end-user position.
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Day-to-day lab operations rely on workflows to manage people, tasks, and systems so that work follows a consistent process every time. Defined workflows help ensure that all the steps are done in the correct order, are free from errors, and meet regulatory requirements.
But, representing lab workflows can be difficult.
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From a customer’s order to the final report, laboratory errors can appear at any time in the total testing process. As our in-depth guide “
Improve Laboratory Accuracy and Reporting Quality with a LIMS” explains, you can prevent these types of laboratory errors by digitizing laboratory processes. Many sources of error are human, and it’s only a matter of when, and how often, people make mistakes. Let’s look at how a
laboratory information management system (LIMS) from LabLynx reduces human error by automating manual activity throughout the total testing process.
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GxP is a set of regulations and quality guidelines formulated to ensure the safety of life sciences products while maintaining the quality of processes throughout every stage of manufacturing, control, storage, and distribution. The GxP standards were established by the
Food and Drug Administration for a range of compliance related activities.
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An effective data migration plan ensures your data is accurate and thorough during the critical transfer phase from the source platform to the destination platform. Once your team is assembled, it is crucial that they focus first on mapping, selecting, preparing, extracting, transforming, and transferring to the new system data that’s of the proper form and quality.
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Earlier this year, ApolloLIMS and
HORIZON Lab Systems were acquired by CliniSys Group to grow the organization’s community and public health diagnostics capability.
CliniSys is one of the largest providers of laboratory information systems (LIS), order entry and result consultation, and public health solutions in disease surveillance and outbreak management across the United Kingdom, Europe, and United States.
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Does your LabWare implementation connect to external applications, such as SAP, another LIMS solution, or an external database? Are there multiple interfaces between LabWare and those external applications? If so, your
LabWare implementation will greatly benefit from the Message Engine Template, as it is LabWare’s standardized and validated way to connect with external systems. In this post, we’ll learn about how LabWare’s Message Engine works...
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Errors may appear at any point in the laboratory workflow, from sample preparation and test setup to instrument calibration and report creation. Inaccuracies lengthen turnaround times, reduce efficiency, and potentially lead customers to poor decisions based on incorrect or missing data. Using a laboratory information management system (LIMS) to constrain sources of pre-analytical, analytical, and post-analytical errors offers benefits beyond just improving test accuracy.
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