Making Pathology Service Delivery Easier
Cirdan is a leading provider of innovative software and imaging solutions that enhance and speed up the diagnosis of patients. Headquartered in the UK, with offices in Canada and Australia, Cirdan is recognised as one of the leading suppliers of laboratory information systems worldwide. Our systems are currently helping to increase efficiency and streamline operations in clinical laboratories across six continents.
ULTRA Laboratory Information System
See the impact it is making in other labs
What our customers are saying
A recent review of our LIS product led our organisation to the conclusion that Ultra is still a market leading product with the best ROI for us
National IT Manager, Australian Clinical Labs
Our engagement with Cirdan to develop the interface has been invigorating – they have clearly seen the need, have dedicated resources to the project and in a short period of time, delivered an outstanding product
CIO , National Blood Authority, Australia
I am delighted with the Cirdan Pathology imaging product suite and certainly recommend them
Speciality Pathologist, NHS
The Pathology Horizons conference was great. Ground breaking presentations on key areas where pathology is developing giving us an insight into what future holds.
Dr David Snead
Head of Digital Pathology CoE, UHCW NHS
Cirdan has recently been awarded a place on the UK Government’s latest G-Cloud framework, G-Cloud 11.
G-Cloud is a UK Government framework set up to encourage the adoption of Cloud Services across the public sector.
The development and maintenance of a Laboratory Information System (LIS) involves input from many different types of roles within Cirdan and outside of it. For example Software Developers, Technical Architects, Subject Matter Experts (SMEs), Customer Support, UX...
With the advent of digital pathology, there is an opportunity to develop computerized image analysis methods to not just detect and diagnose disease from histopathology tissue sections, but to also attempt to predict risk of recurrence, predict disease aggressiveness and long term survival.