LIMS Wizards, LLC, a global scientific software solutions provider, is introducing version 2.1 of SampleVision. New User and Administrator configuration tools allow any non-GxP laboratory customer or user to securely submit analysis requests,,, [Read More]

A laboratory information management system (LIMS) is a significant investment and, as with most infrastructure costs, it can be hard to justify making the spend when your current laboratory data processes are working. In many cases, the choice boils down to not what’s working in your lab, but what could be working better. [Read More]

Lab Innovations is the UK’s annual laboratory conference. Like the PITTCON conference in the US it attracts a wide audience from all laboratory sectors. Indeed, the last in-person event I attended with Autoscribe was Pittcon 2020, roughly 18 months previously. [Read More]

The objective of Validation 4.0 is to provide a risk-based method for process performance qualification that involves a uniform, coordinated and unified approach to computer system validation. It is based on the Pharma 4.0™ operating model and includes a thorough control plan, as well as digital maturity and data integrity by design. [Read More]

Validation is the process of establishing evidence that a laboratory method or software does what it’s intended to do. That sounds simple enough, but it can get confusing when it’s used in different contexts.
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As laboratories continue to swim in an increasing amount of data and attempt to streamline operations, thoughts of turning to cloud-based data management grow. And while cloud-based applications can help, challenges remain with security, privacy, and real-time access. Blockchain-based systems alone can improve on some of those challenges, but blockchain isn't scalable. As such, Ismail et al. discuss at length in this 2021 paper the benefits of integrating blockchain with cloud-computing systems, as well as the remaining challenges of optimizing such an integration. After presenting existing research and discussing the basics of cloud computing and blockchain, the authors discuss the integration of the two in both encapsulated- and non-encapsulated architectures, as well as how they can be applied to healthcare systems. They close by addressing the remaining challenges of an integrated system, including the energy costs of running such a system. They conclude that while "the integration of cloud and blockchain for healthcare is promising to cope with the shortcomings of these individual technologies ... further research is still required to enhance the existing architecture to make it more scalable and energy-efficient with inter-cloud communication support."

This is a Rochester Institute of Technology (RIT) course that is released on the edX platform. The eight-week course is designed for students to learn how "to extract, analyze, and interpret data from patient health records, insurance claims, financial records, and more to tell a compelling and actionable story using health care data analytics." The course is free to take, with a Verified Certificate of completion available for $249. (Note that the free Audit track expires March 14, 2022.) The course requires on average eight to 10 hours a week of effort. Access to the class starts January 17, 2022.