iSOFT completes RIS project in BT's London cluster

iSOFTiSOFT has installed its RadCentre radiology information system (RIS) at Chelsea and Westminster and Ealing NHS trusts as part of its contract with BT under the National Programme for IT (NPfIT).

All eight London trusts covered by the £3.9m deal with BT, the local service provider for London, are now fully installed. The systems played an important role in helping BT meet its target of delivering picture archiving and communications systems to 21 trusts across the capital by the end of March this year.

Linked to Philips picture archiving and communications systems (PACS), RadCentre is now running at the 660-bed Chelsea and Westminster Hospital and 350-bed Ealing Hospital.

The eight NHS trusts covered by the NPfIT contract with BT are Barking, Havering & Redbridge, St Mary's Paddington, Moorfields Eye Hospital, Barts and the Royal London, North West London, Royal National Orthopaedic, Chelsea and Westminster, and Ealing. All eight are using PACS from Philips.

A further eight NHS trusts in London use iSOFT’s RadCentre in contracts outside the NPfIT. These include early adopter Mayday Healthcare NHS Trust.

Other non-NPfIT RadCentre customers in London are St Georges, Lewisham, Royal Free, Kingston, North Middlesex, Whittington, Great Ormond Street Hospital, Epsom St Helier and West Middlesex.

iSOFT is one of the UK’s largest providers of radiology information systems. RadCentre is installed at 43 NHS trusts currently.

Related news articles:

About iSOFT
iSOFT is Europe's largest healthcare software applications company and also has a strong presence and experience in the Asia Pacific region. Its core strategic application, LORENZO, is at the forefront of the technology revolution taking place in healthcare globally. iSOFT products are used to manage patient information in more than 8,000 organisations in 27 countries. With annual revenues of £180 million, the company has offices in 12 countries and more than 3,000 employees, over 1,400 of whom are engaged in software development and design. Further information: http://www.isoftplc.com.

Most Popular Now

Open Medical Works with Moray's Dig…

Open Medical is working with the Digital Health & Care Innovation Centre’s Rural Centre of Excellence on a referral management plan, as part of a research and development scheme to...

Generative AI on Track to Shape the Futu…

Using advanced artificial intelligence (AI), researchers have developed a novel method to make drug development faster and more efficient. In a new paper, Xia Ning, lead author of the study and...

Personalized Breast Cancer Prevention No…

A new telemedicine service for personalised breast cancer prevention has launched at preventcancer.co.uk. It allows women aged 30 to 75 across the UK to understand their risk of developing breast...

New App may Help Caregivers of People Ge…

A new study by investigators from Mass General Brigham showed that a new app they created can help improve the quality of life for caregivers of patients undergoing bone marrow...

An App to Detect Heart Attacks and Strok…

A potentially lifesaving new smartphone app can help people determine if they are suffering heart attacks or strokes and should seek medical attention, a clinical study suggests. The ECHAS app (Emergency...

A Machine Learning Tool for Diagnosing, …

Scientists aiming to advance cancer diagnostics have developed a machine learning tool that is able to identify metabolism-related molecular profile differences between patients with colorectal cancer and healthy people. The analysis...

Fine-Tuned LLMs Boost Error Detection in…

A type of artificial intelligence (AI) called fine-tuned large language models (LLMs) greatly enhances error detection in radiology reports, according to a new study published in Radiology, a journal of...

DeepSeek-R1 Offers Promising Potential t…

A joint research team from The Hong Kong University of Science and Technology and The Hong Kong University of Science and Technology (Guangzhou) has published a perspective article in MedComm...

Deep Learning can Predict Lung Cancer Ri…

A deep learning model was able to predict future lung cancer risk from a single low-dose chest CT scan, according to new research published at the ATS 2025 International Conference...