Laboratory Informatics Weekly Update – Volume 20, Issue 2
January 12, 2022 Laboratory Informatics Weekly Update Volume 20, Issue 2 In This Issue Featured Books The Complete Guide to LIMS and Laboratory Informatics: 2022 Edition Featured Content 01/12/2022 - Case Study: SAP Augmentation via LabWare Integration Astrix LabWare Integration enabled a global company with operations across 54 countries to streamline their process for entering, documenting, and reporting their compliance with environmental regulations associated with water quality, including ISO/IEC 17025. In under six months... [Read More] 01/12/2022 - Software Architecture: What Makes it Good, or Not?Clinical diagnostic laboratories must have high-quality software in order to run reliably and efficiently.…10 Ways to Ensure Data Integrity
Data Integrity can be expressed as the consistency and trustworthiness of data over the course of its lifecycle. The status of your data, or the process of guaranteeing the quality and validity...[Read More]
Why Data Integrity is Important to Life Sciences Organizations
What is data integrity?
Data Quality versus Data Integrity. Data Quality refers to the traits that determine the ability of information to suit an intended function, such as planning, decision making, and operations... [Read More]
Labs of the 21st Century: The Age of Digital Transformation
The life sciences industry is rapidly changing and always seeking to research and innovate in the most efficient and accurate way possible. The development of digital technologies opened the door to a world of possibilities for many scientific industries, especially those that are data-driven and rely on...
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Laboratory Informatics Weekly Update – Volume 20, Issue 1
January 5, 2022 Laboratory Informatics Weekly Update Volume 20, Issue 1 In This Issue Featured Books LIMSjournal - Winter 2021 Featured Content 01/05/2022 - 10 Ways to Ensure Data IntegrityData Integrity can be expressed as the consistency and trustworthiness of data over the course of its lifecycle. The status of your data, or the process of guaranteeing the quality and validity...[Read More] 01/05/2022 - Why Data Integrity is Important to Life Sciences OrganizationsWhat is data integrity? Data Quality versus Data Integrity. Data Quality refers to the traits that determine the ability of information to suit an intended function, such…Quality management system implementation in human and animal laboratories
In this 2021 paper published in the journal One Health, Kachuwaire et al.discuss the results of an Armenian effort to strengthen the human and veterinary laboratory quality management system (QMS) programs across 15 laboratories. This QMS strengthening, based on World Health Organization and World Organization for Animal Health guidelines, occurred between 2017 and 2020, followed by an assessment of the program's success. After reviewing their assessment methods, the authors discuss the results, noting that in both human and veterinarian labs, improvements were seen in the "areas of organizational structure, human resources, equipment management, supply chain, and data management," though some laboratories still showed poor results afterwards. Their findings indicated those labs that tended to do poorly post-implementation lacked a supportive long-term quality manager, "demonstrating the importance of a full-time or substantive quality manager."
