Any laboratory that handles large quantities of samples knows the pain of mishandling one (or a whole batch). In some industries, sample mishandling can get you sued or run out of business. If you’re working with lots of samples from lots of sources, you should know that there are ways to streamline your sample tracking process to avoid those scenarios. This blog post will show you how SampleVision works with your organization’s laboratory information management system (LIMS) or laboratory information system (LIS) to keep track of samples and streamline many common laboratory workflows. [Read More]

Despite the benefits, it’s usually not a straightforward process to justify a LIM’s acquisition, implementation, and maintenance. The justification must go beyond monetary costs, to the organizational context, including short-/long-term goals, real and potential risks, and tangible/intangible benefits, painting a complete picture of how a LIMS benefits the organization, its staff, and its external stakeholders. [Read More]

In the world of medical research, clinical trials are the forefront of advancement of research. They bridge the gap between laboratory breakthroughs and real-world treatments, ensuring that new drugs, therapies, or devices are both safe and effective. This comprehensive guide aims to shed light on these vital components of healthcare advancement. [Read More]

Data has become one of the most valuable assets for any organisation, and laboratory data is no exception. However, accessing laboratory data has been difficult so far due to the use of outdated applications and architectures that underpin many LIMS applications. [Read More]

Software-based requirements are detailed lists describing the functions, capabilities, and qualities a software system must possess. These requirements are the foundation for designing, developing, testing, and delivering a software product that meets the goals and expectations of its users. Lab requirements for a LIMS are typically a combination of wish list items and regulation-mandated needs. [Read More]

There are a number of features of artificial intelligence (AI) that make it well suited for use in software validation. Some of these features are its capacity for pattern recognition and the ability to learn and adapt continuously. An emerging use for AI is in laboratory information management system (LIMS) validation. A LIMS is instrumental in laboratory data management. In recognition of the need for enhanced efficiency and accuracy, AI is increasingly integrated with the data in LIMS and has become a game changer. [Read More]

Communities around the world are requiring greater accountability and demanding more reliable and capable software systems for monitoring and testing drinking water, ground water, wastewater, soil, and air quality. Meeting these growing needs and continuing to deliver the active role that analytical testing laboratories play in safeguarding public health requires advanced tools that enhance every aspect of environmental monitoring. [Read More]

In this 2023 paper published in Healthcare Informatics Research, Chang et al. perform a literature review of current research in order to better characterize the currently viewed benefits of of artificial intelligence (AI), the internet of things (IoT), and personal health records (PHR) in the healthcare setting. Noting "limited empirical evidence regarding the benefits of information technology in healthcare settings," the authors examined 24 reviews and meta-analysis studies on these three technologies, with a strong focus on four outcome domains of clinical, psycho-behavioral, managerial, and socioeconomic implications. After detailing their findings, the authors conclude that "AI and PHRs can enhance clinical outcomes, while IoT holds promise for boosting managerial efficiency," though further research is required to address "the organizational and socioeconomic benefits of PHR," as well as the greater role of IoT in the healthcare setting.