Voice Command and Natural Language Processing is the computer’s understanding of spoken and written language. The ability of voice assistants like Google, Siri, and Alexa to detect human speech, react to it, and carry out voice-based requests is made possible through a process called natural language processing (NLP). NLP is the technology that makes it possible for machines to comprehend and communicate with human speech, however it is not just used for voice interactions. [Read More]

The COVID-19 pandemic has influenced every part of our personal and professional lives. Early in the pandemic, the number of laboratories able to perform COVID-19 testing was constrained in many locations due to staffing restrictions or a shortage of reagents. These problems still exist today, but as the pandemic continues to beleaguer the medical profession worldwide, supply chain problems have brought new difficulties that extend far beyond COVID-19 testing.[Read More]

Good Laboratory Practices (GLP) is a quality system concerned with Laboratories’ organizational process and conditions under which non-clinical, health and environmental safety studies are planned, performed, monitored, recorded, archived and reported. This White Paper covers how Logilab Scientific Management System (SDMS) helps Laboratories to adhere and follow the Principles of GLP as applied to Computerized Systems in laboratories. [Read More]

Master Data is the foundation upon which most information systems are built and operated. It is the static data that is stored in the system and serves as the standard for business-critical information. The static (or master) data is the backbone of the Laboratory Information Management System (LIMS) because it defines the Products, Analyses, Batches, Instrumentation, Users, and many other operationally essential data objects. Therefore, the processes surrounding Master Data implementation will usually dictate how well (or not) a LIMS is maintained over its operational lifetime. [Read More]

In this short article published in the Journal of the Medical Library Association, Foster, Whipple, and Rios describe their experiences and learnings from implementing an electronic laboratory notebook (ELN) at the Indiana University School of Medicine (IUSM). Known as the largest medical school in the US, IUSM has seen adoption of its chosen LabArchives ELN solution grow since early implementation in September 2018. After providing extensive background on the nature of ELNs and what they represent, the authors present their use case at IUSM and discuss the results, as well as the limitations inherent to their findings, within the scope of supporting ELN implementation through its libraries. They conclude that their work with ELNs "demonstrates the integral role libraries can have in supporting, growing, and shaping the information and data management priorities to move research reproducibility forward."