iSOFT Partners with Southampton on Groundbreaking Life Science Project

iSOFTiSOFT, a CSC company, and University Hospital Southampton NHS Foundation Trust are to jointly explore using new software to extract and anonymise clinical information for research and clinical trials, in one of the first projects of its type in the UK.

"Clinical information held by NHS trusts is of huge value in clinical research and offers these trusts a potential income stream," said Dr Joerg Kraenzlein, iSOFT's director of life sciences. "A key goal is to prove that our solution is able to extract a broader range of clinical information than is currently possible and at a fraction of the time and cost.

"Current methods normally involve trawling through records manually, which is time consuming and unreliable as records are often missed or lack relevance. The project will potentially save months in the planning and execution phase of clinical trials," Kraenzlein said.

Under the project, CliniWorks' AccelFind software will be interfaced to Southampton's clinical systems to extract and de-identify information about cancers and other diseases, and heart and blood conditions from one million records. It will also collect and structure information on diagnoses, treatments, medications and outcomes into a format that supports research and clinical trials.

Southampton has a history of identifying patients for clinical trials. The city’s partnership between the University of Southampton and University Hospital Southampton NHS Foundation Trust saw 13,464 patients recruited to clinical trials during 2010-11, making it the one of the top three centres in England.

Adrian Byrne, Southampton's chief information officer, said: “Southampton is already a leader in involving patients in research programmes and we are happy that we can work with iSOFT to improve this and ensure that more patients obtain access to the latest and best treatments."

iSOFT signalled its intent to move into the life sciences space, after agreeing a deal with US-based CliniWorks for AccelFind, which is developed to extract medical knowledge from any type of data, including free text notes, discharge summaries or the structured data found in electronic medical records.

"Drug development is an extremely expensive business and typically costs up to US$1 billion to bring a single drug to market," Kraenzlein said.

"The process of recruiting patients for clinical trials is the most critical element, causing 80% of trials to run over time and budget, with an average of 90 days and £1.3 million in lost sales, so anything that reduces time and cost will interest pharmaceutical companies greatly.

"Through our partnership with Southampton and CliniWorks, we can move to developing solutions which will speed the feasibility and patient recruitment processes and so help execute trials on time and budget."

iSOFT's chief medical officer, Dr Michael Dahlweid, said: "This is a beacon project which paves the way for healthcare organisations to move beyond collecting data for use during patient care, to using the data for advanced analysis, prediction and improved drug discovery. The potential benefits to patients are significant."

"The ability to extract meaningful information from various data sources and formats is a challenge in today's healthcare IT systems," says Nitzan Sneh, CliniWorks' chief executive officer. "Leveraging technology that can aggregate and analyse all types of medical data will allow for better management of healthcare treatment and costs, as well as provide clinicians with the ability to better understand health outcomes."

Related news articles:

About CSC
CSC is a global leader in providing technology-enabled business solutions and services. Headquartered in Falls Church, Va., CSC has approximately 97,000 employees and reported revenue of $16.2 billion for the 12 months ended September 30, 2011.

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...

Reorganisation, Consolidation, and Cuts:…

NHS England has been downsized and abolished. Integrated care boards have been told to change function, consolidate, and deliver savings. Trusts are planning big cuts. The Highland Marketing advisory board...

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...