North West Anglia Works with Clinisys to Modernise Pathology Services

ClinisysNorth West Anglia NHS Foundation Trust has replaced two, legacy laboratory information systems with a single instance of Clinisys WinPath.

The trust, which serves a catchment of 800,000 patients in North Cambridgeshire and South Lincolnshire, found itself with two LIMS when it was formed out of the merger of Peterborough and Stamford Hospitals and Hinchingbrooke Health Care in 2017.

The new LIMS, plus an extension of the ICE order communications and results reporting system to Hinchingbrooke, will bring benefits for patients, staff and GPs by reducing reliance upon paper and delivering faster results to GPs and patients, regardless of where blood samples are taken or tested.

In addition, the new system harmonises working practices and makes it easier for clinicians to view the results of tests taken across the trust’s three hospital sites.

The LIMS and ICE deployments also align with the trust’s digital strategy to integrate a reduced number of IT systems with a new electronic patient record, and will enable further digital improvement projects and the maturing of the pathology network with neighbouring trusts.

Pathology services manager Matthew Smith said: "We had two, old systems from when our trusts merged. Our vision is a single LIMS and a single order communications system, with a harmonised workflow and a single viewer for clinicians, and we have taken an important step towards delivering that.

"The trust also wants to reduce the number of IT systems that it uses, and we are aligned with that by reducing the number of LIMS we have in use from two to one, and interfacing with other systems, including the electronic records used in maternity and ED.

"Moving to a new, modern system enables us to improve efficiency at our laboratories and will support the delivery of further projects that will bring patient safety and sustainability benefits, by removing paper and plastic from our workflows."

The pathology service at Hinchingbrooke was using an older Clinisys product, but the lab at Peterborough and Stamford hospitals was using a legacy system installed around 30 years ago. The deployment of Clinisys WinPath enables them to benefit from the advances in pathology IT that have been made since then.

The trust's pathology service is working towards using Clinisys' data and analysis tools to automatically collect and submit NHS England's Cancer Outcomes and Services Dataset and to gain more insight into the performance of the labs.

The go-lives will also enable further projects, including the introduction of bedside labelling on hospital wards that will support pass through numbering, and the removal of paper forms and plastic transport bags required for the blood tests collected by the phlebotomy service and GPs.

Kevin Hall, LIMS programme director, said: "This project was delivered on time, in 18-months, thanks to the hard work and planning of the pathology and digital teams, working closely with our supplier, Clinisys.

"Everybody has commented how calm and organised the lab has been since transitioning to the new LIMS. You simply wouldn't have known we had just gone live with such a significant IT project.

"I would like to thank the teams for their hard work and pragmatism - they knew what was required of them, and they all delivered. A very professional performance by super teams!"

The trust is now using the same pathology LIMS platform as one of the other two trusts in the ME-5 pathology network. This achievement will enable greater interoperability across the network.

NHS England is encouraging labs to join pathology networks to improve the efficiency and quality of laboratory services, and using a common LIMS will make it easier for labs to share resources and standardise processes.

Jamie Stephens, project manager at Clinisys, said: "This was an exemplary deployment project, and that was down to excellent communication with the trust - it really felt like we were working as part of a single team.

"The reaction to the new LIMS and the roll-out of ICE to Hinchingbrooke has been very positive, and it's good to see that the trust wants to push on and use its new systems to further modernise its pathology services."

Michelle Reece, senior biomedical scientist, blood transfusion, said: "Having a combined NWAngliaFT patient transfusion history including previous groups, antibodies and special requirements will improve patient safety enormously, and reduce the requirement for additional sampling and pre-transfusion testing for patients having shared care across the two sites."

Robin Lucas-Evans, point of care testing coordinator, said: "The new LIMS has enabled NWAngliaFT to provide total visibility of POCT results to all frontline staff across our hospitals in near-real time, enabling us to move away entirely from paper-based data entry and archiving systems.

"For the first time, clinical staff will be able to see all POCT results in ICE. Users will no longer need to generate request forms for their patients, and results will appear in ICE near-instantaneously - whereas it used to take between two and five working days for the internal post and manual entry."

About Clinisys

Clinisys enables healthier and safer communities as a global provider of intelligent diagnostic informatics solutions and expertise that redefine the modern laboratory across healthcare, life sciences, public health and safety. Millions of laboratory results and data insights are generated every day using Clinisys' platform and cloud-based solutions in over 3,000 laboratories across 34 countries.

Most Popular Now

Integrating Care Records is Good. Using …

Opinion Article by Dr Paul Deffley, Chief Medical Officer, Alcidion. A single patient record already exists in the NHS. Or at least, that’s a perception shared by many. A survey of...

Should AI Chatbots Replace Your Therapis…

The new study exposes the dangerous flaws in using artificial intelligence (AI) chatbots for mental health support. For the first time, the researchers evaluated these AI systems against clinical standards...

AI could Help Pathologists Match Cancer …

A new study by researchers at the Icahn School of Medicine at Mount Sinai, Memorial Sloan Kettering Cancer Center, and collaborators, suggests that artificial intelligence (AI) could significantly improve how...

AI Detects Early Signs of Osteoporosis f…

Investigators have developed an artificial intelligence-assisted diagnostic system that can estimate bone mineral density in both the lumbar spine and the femur of the upper leg, based on X-ray images...

AI Tool Detects Surgical Site Infections…

A team of Mayo Clinic researchers has developed an artificial intelligence (AI) system that can detect surgical site infections (SSIs) with high accuracy from patient-submitted postoperative wound photos, potentially transforming...

AI Sharpens Pathologists' Interpret…

Pathologists' examinations of tissue samples from skin cancer tumours improved when they were assisted by an AI tool. The assessments became more consistent and patients' prognoses were described more accurately...

Meet Your Digital Twin

Before an important meeting or when a big decision needs to be made, we often mentally run through various scenarios before settling on the best course of action. But when...

NHS National Rehabilitation Centre to De…

The new NHS National Rehabilitation Centre will deploy technology to help patients to maintain their independence as they recover from life-changing injuries and illnesses and regain quality of life. Airwave Healthcare...

AI Finds Hundreds of Potential Antibioti…

Snake, scorpion, and spider venom are most frequently associated with poisonous bites, but with the help of artificial intelligence, they might be able to help fight antibiotic resistance, which contributes...

AI Tool Accurately Detects Tumor Locatio…

An AI model trained to detect abnormalities on breast MR images accurately depicted tumor locations and outperformed benchmark models when tested in three different groups, according to a study published...

AI can Accelerate Search for More Effect…

Scientists have used an AI model to reassess the results of a completed clinical trial for an Alzheimer’s disease drug. They found the drug slowed cognitive decline by 46% in...

AI Accurately Classifies Pancreatic Cyst…

Artificial intelligence (AI) models such as ChatGPT are designed to rapidly process data. Using the AI ChatGPT-4 platform to extract and analyze specific data points from the Magnetic Resonance Imaging...