LIS vs LIMS? The lines between an LIS and a LIMS are blurring. What matters more is that you take a data-centric approach to your laboratory IT strategy.
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Implement your LIS or LIMS software on time and on budget when you follow these seven non-technical tips from our project management experts.
Get from a LIMS project management expert four ROI measures of implementation success to include in your laboratory’s business case for changing or buying a new LIMS.
Read the benefits of machine learning and artificial intelligence in environmental laboratories and what it takes to get started. ML and AI are no longer future technologies for air, water, and soil testing.
When choosing a new laboratory information management system for your environmental laboratory, be sure to follow these six guidelines to help you select the right LIMS software provider
GLIMS Genetics combines the strengths of a mature Laboratory Information System (LIS) with specialist genetic requirements to provide an efficient, interoperable workflow that directly meets your needs.
GLIMS is a high-performance laboratory information system (LIS) that allows you to organise and automate all processes exactly as you want them: from order entry and instrument control to results reporting, invoicing and statistics. Thanks to the rich functionality of GLIMS, your laboratory can work more efficiently. You save costs and resources, while offering an enhanced service for requesters and patients – today and tomorrow.
Accumen and Clinisys partner to provide expert resources to enhance Lab Outreach capabilities that help improve business performance
Accumen today announced that they have entered a multi-year collaboration and partnership with Clinisys to provide enhanced data analysis, expanded outreach services, and improved operational efficiencies to both Accumen and Clinisys’ laboratory customers and clinicians; thus, creating better outcomes for patients.
Specialized testing at US public health laboratories is a vital function, but their resulting test data must increasingly connect and converge to produce a more complete picture of the many factors that affect human health. Learn how PHL data is being connected, shared, integrated, and analyzed.