NHS Trust Deploys Mobile Electronic Observation Solution to Reduce Patient Mortality

Hull and East Yorkshire Hospitals NHS Trust (HEY) have agreed a five year deal with Nervecentre to deliver their e-Observations Decision Support System trust-wide. The solution, the deployment of which has been speeded up through an award from the £100m Nursing Technology Fund, will enable the trust to reduce mortality, improve patient safety and reduce harm.

The Nervecentre solution provides clinicians with the ability to record and monitor patient observations via a mobile device. Its key functionality includes sophisticated cascading escalation, with deteriorating patients' vital signs being relayed to the most appropriate clinician in order for a "recognise and rescue" plan to be put in place. In addition, specialist functions such as Hospital-at-Night, will allow escalations out of hours - ensuring patient care remains consistent 24 hours a day and helping HEY to achieve standard 243 of the Francis Report - recording of routine observations.

Steve Jessop, the trust’s chief nurse information officer explains: "We needed smarter and more efficient ways across the organisation of detecting the sick, deteriorating patient, and providing a timely and effective response to this by clinical staff. This included the ability to target messaging to services and clinicians such as critical care outreach, junior doctors and the infection control team.

"This solution will enable us to have visibility of all deteriorating patients so that we can pro-actively intervene improving the care, management and outcomes of patients 24/7, including out of hours periods, and at weekends and bank holidays, when it can be particularly difficult to escalate manually."

Key to the trust's objectives was to improve their clinical governance processes and directly respond to the targets set by government, in particular the standards laid out by the Francis Report.

Dr Mark Simpson, emergency department consultant and trust CCIO said: "The trust was seeking a system to support patient safety and outcomes, which is an integral component of our IM&T strategy. The Nervecentre solution has everything we need and more! It will enable us to create an environment which will enhance the user experience by removing the reliance on paper records."

As well as the benefits from digitising the recording of observations, the solution will also allow HEY to remove the risk and inefficiency of paper based handover meetings by ensuring that all members of a clinical team are working from a common understanding of the status of a patient.

Simpson continued: "By giving our team the appropriate tools we will be able to drive down response times, reduce the potential for untoward incidents and ensure that incomplete tasks are appropriately escalated."

Clinical engagement is expected to be high as users can personalise the information they receive, have that information be delivered to a variety of mobile devices and access it anywhere easily and securely.

"After careful consideration of all the options available to us, Nervecentre offered both substantially more benefits as well as a more cost effective solution. The investment from the Nursing Technology Fund helped us to realise our vision much quicker than initially anticipated and we are looking forward to rolling this out across the trust” Simpson concluded.

Managing director of Nervecentre, Paul Volkaerts said: "The tender process, which began in March 2013, has allowed HEY to ensure they have made the best decision to meet their on-going vision to provide safe, high quality effective care by ensuring efficient economic use of resources - particularly staff.

"Nervecentre is looking forward to entering into a relationship which focuses so heavily on improving patient outcomes. This is central to our on-going strategy of improving patient safety and supports the work we are doing with other trusts across the UK."

In February 2014, Hull and East Yorkshire Hospitals NHS Trust was awarded £950,000 from the Nurse Technology Fund to support the roll out of an Electronic Clinical Observation System (e-COBS).

About Hull and East Yorkshire Hospitals NHS Trust
The trust was established in October 1999 following the merger of the Royal Hull Hospitals NHS Trust and East Yorkshire Hospitals NHS Trust.

They operate from two main hospital sites, namely Hull Royal Infirmary and Castle Hill Hospital in Cottingham, plus have a number of additional services based across other local estate and in the community.

Employing around 8,000 staff, they welcome around one million patients through their doors every year. They are an aspiring NHS Foundation Trust and a recognised Major Trauma Centre for the region.

About Nervecentre
Nervecentre is a healthcare focused consultancy and software development organisation founded in 2010 which is committed to enabling the NHS to improve productivity and quality through innovative, mobile collaboration technology.

Nervecentre addresses patient safety, clinical governance and resource management through a series of MobileTask Management, Handover and Observations applications.

Its solutions are platform independent and integrate into a hospital's existing IT and PAS systems.

Its handset independent applications function with multiple mobile devices.

A comparable example of the use of Nervecentre for the management of Out-of-Hours working is referenced in the QIPP collection on NICE Evidence. This shows how NHS staff are saving money without compromising on quality. QIPP reference 12/0017 published by Nottingham University Hospitals NHS Trust.

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...

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...

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...

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...