Why there soon won’t be a difference between a LIS and a LIMS
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.
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.
Join our Clinisys experts Stacia Sump and Sara Li. on Tuesday, 22nd April, at 10 AM ET | 3PM CET at the latest webinar in the Lab of the Future 'How it Works' series. Together we will explore the cutting-edge advancements of AI and data analytics in scientific laboratories.
Increased regulatory requirements, together with demands for greater scale and speed of operations, create a challenging environment for food producers and the food testing industry who are tasked with guaranteeing the safe supply of food, from farm to fork.
Laboratories must navigate a number of challenges to running a successful operation - regulatory compliance, data security and privacy, workforce shortages, low reimbursement rates, to name a few - but what’s likely keeping most toxicology lab operators up at night is how to keep operating costs low all while maintaining high growth opportunities. Here’s why. .
As laboratories across diverse industries continue to evolve, there is a growing need for Laboratory Information Management Systems (LIMS) that go beyond traditional capabilities. Laboratories today face increasing pressures to enhance efficiency, integrate seamlessly with other systems, ensure data integrity and regulatory compliance, and scale to meet changing demands.
Frost RadarTM: Laboratory Information Management Systems, 2024 report placed Clinisys as a top 2 performer of the 50 LIMS vendors it analyzed in growth and innovation. Clinisys noted as one of four vendors with above-average industry R&D investments.
Beyond food safety testing, laboratories of all types should consider using FDA HACCP approaches and risk-based thinking in daily operations to better mitigate risk and to comply with ISO/IEC 17025:2017.
The ease of data analytics depends on data accessibility, which in turn depends on how well your laboratory information system structures data. Structured data plays a leading role in data analytics success.