West Suffolk NHS Foundation Trust Order Ascribe Emergency Department Solution

AscribeAscribe has announced the order of its Emergency Department (ED) solution, Ascribe Symphony, by West Suffolk NHS Foundation Trust (WSFT). Ascribe's ED solution is an Electronic Patient Record (EPR) system designed to improve patient flow through the department, providing users with simple, yet comprehensive access to clinical information at 'the point of care'.

The Trust chose Ascribe’s ED solution because it will provide them with one central information system within the Emergency Department, reducing time in retrieving information and improving throughput of patients. The user friendly graphical interface will improve access to patient information and retrieval of real-time clinical data. WSFT also liked the ability that Ascribe Symphony gives to potentially save masses of storage space, should the Department decide to go paperless.

Alain Sauvage, Emergency Medicine Consultant at West Suffolk NHS Foundation Trust, commented: "Ascribe is a welcome relief to take the Emergency Department's IT into the twenty first century!"

Stephen Critchlow, CEO at Ascribe, commented: "We are looking forward to helping West Suffolk NHS Foundation improve patient care with the systems they are installing."

About Ascribe's Emergency Department solution
Ascribe Symphony is the market leading Emergency and Unscheduled Care IT system providing clinical benefits to patients, clinicians and trust managers.

Over 30 million patients are recorded on Ascribe Symphony in the UK with the system supporting over 7 million attendances per annum.

Ascribe provides the clinician with a simple to use graphical interface that delivers real time clinical management data for patients in acute and minor injuries settings.

Ascribe Symphony supports the everyday practices of the Emergency departments and matches the workflows to data collection processes. The solution fully supports the delivery of all the complex information needs for emergency departments including the delivery of information to support the Department of Health Quality Indicators for A&E.

About West Suffolk NHS Foundation Trust
West Suffolk Hospital is a vibrant, friendly and accessible hospital set in a 19-hectare parkland site on the edge of Bury St Edmunds. It has around 430 beds open at any one time and serves a population of around 275,000 within an area of approximately 600 square miles.

About Ascribe
Over 75% of NHS Acute Trusts use Ascribe systems and our commitment to improving healthcare IT has made us a strategic partner for a growing number of Trusts.

Ascribe's clinical systems are robust and scalable, from departmental systems through to strategic enterprise-scale solutions. The company is a Microsoft Gold Partner. In addition to developing its own solutions, Ascribe provides professional consultancy personnel for Ascribe, Microsoft and other healthcare IT systems. From Electronic Prescribing through to Paperless Clinical Management and even Pharmacy robotic interfaces, Ascribe's breadth of integrated systems has been proven to help Trusts improve their efficiency and cut costs.

Ascribe recently won the 2012 Microsoft Public Sector Health Partner of the Year Award.

"The system paid for itself in two months", Senior NHS Clinical Manager.

Ascribe employs 300 personnel through its operating companies in the UK, Kenya, Australia and New Zealand.

Most Popular Now

Stepping Hill Hospital Announced as SPAR…

Stepping Hill Hospital, part of Stockport NHS Foundation Trust, has replaced its bedside units with state-of-the art devices running a full range of information, engagement, communications and productivity apps, to...

DMEA 2025: Digital Health Worldwide in B…

8 - 10 April 2025, Berlin, Germany. From the AI Act, to the potential of the European Health Data Space, to the power of patient data in Scandinavia - DMEA 2025...

New System for the Early Detection of Au…

A team from the Human-Tech Institute-Universitat Politècnica de València has developed a new system for the early detection of Autism Spectrum Disorder (ASD) using virtual reality and artificial intelligence. The...

Is AI in Medicine Playing Fair?

As artificial intelligence (AI) rapidly integrates into health care, a new study by researchers at the Icahn School of Medicine at Mount Sinai reveals that all generative AI models may...

Generative AI's Diagnostic Capabili…

The use of generative AI for diagnostics has attracted attention in the medical field and many research papers have been published on this topic. However, because the evaluation criteria were...

Diagnoses and Treatment Recommendations …

A new study led by Prof. Dan Zeltzer, a digital health expert from the Berglas School of Economics at Tel Aviv University, compared the quality of diagnostic and treatment recommendations...

AI Tool can Track Effectiveness of Multi…

A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed by UCL researchers. AI uses...

Surrey and Sussex Healthcare NHS Trust g…

Surrey and Sussex Healthcare NHS Trust has marked an important milestone in connecting busy radiologists across large parts of South East England, following the successful go live of Sectra's enterprise...

DMEA 2025 Ends with Record Attendance an…

8 - 10 April 2025, Berlin, Germany. DMEA 2025 came to a successful close with record attendance and an impressive program. 20,500 participants attended Europe's leading digital health event over the...

Dr Jason Broch Joins the Highland Market…

The Highland Marketing advisory board has welcomed a new member - Dr Jason Broch, a GP and director with a strong track record in the NHS and IT-enabled transformation. Dr Broch...

AI-Driven Smart Devices to Transform Hea…

AI-powered, internet-connected medical devices have the potential to revolutionise healthcare by enabling early disease detection, real-time patient monitoring, and personalised treatments, a new study suggests. They are already saving lives...

Multi-Resistance in Bacteria Predicted b…

An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant. The new study shows that antibiotic resistance is more easily transmitted between genetically...