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Hospital San José de Coronel, 1st laboratory in Chile to be equipped with Clinisys

Hospital San José de Coronel chooses Clinisys laboratory IT solutions.

How to put quality first in environmental and water laboratories

Quality assurance and control measures are essential for environmental and water testing laboratories to ensure accurate and reliable data.

7 requirements for a successful LIMS implementation project

Implement your LIS or LIMS software on time and on budget when you follow these seven non-technical tips from our project management experts.

The case for not outsourcing the lab

With hospitals under sustained financial pressures since the global pandemic, cash-strapped and distressed hospitals may consider outsourcing laboratory services as a means of cutting costs—a potentially “penny-wise, but pound-foolish” decision.

Promium LIMS

4 measures of LIMS implementation success

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.

Day in the life – Suresh Sennakesavan

For Suresh Sennakesavan, being a part of the Clinisys Laboratory Solutions team has turned out to be the most enriching and exciting part of his career journey. Suresh joined Clinisys in 2014 as an Associate Software Engineer in ‘Power Path’ team where he developed a supporting suite of applications for Anatomic Pathology diagnostic and reporting workflows.

AI in Pathology

Artificial intelligence is developing rapidly, and it is coming to pathology. Chad Meyers, VP/Segment Line Leader, outlines the steps that Clinisys is taking to support the development of AIs that will benefit pathology, and how it will work with customers on use cases that build confidence in this exciting technology.

Day in the life – Muthuswamy Mudaliar

Our Application Engineer, Muthuswamy Mudaliar, joined the Clinisys Solution Adoption team in India in September 2021. His role entails managing technological functional responsibilities for Clinisys WorldCare Application wherein he manages deployment, implementation, and data migration work.

Why environmental labs should embrace machine learning and artificial intelligence

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.