Life-Threatening Kidney Injuries to Be Prevented by Pioneering NHS Trust in Collaboration with Patientrack

Acute kidney injuries that contribute to tens of thousands of deaths in England every year could soon be avoided due to the launch of a ground-breaking project at Western Sussex Hospitals NHS Foundation Trust and the support of Patientrack, a real-time patient vital signs, early warning and alerting system.

The project, which is being funded after winning a national competition by the Department of Health and Small Business Research Initiative, is to go live at the trust later this summer. Doctors and nurses will then be able to identify patients at risk of acute kidney injury (AKI), a devastating condition that contributes to more than 60,000 deaths across England every year.

By using Patientrack, the trust will be able to put into practice a predictive model developed by its pioneering researchers as the system will automatically alert clinical staff to those patients that either have AKI, and importantly, those likely to develop it.

AKI affects as many as one in five emergency admission patients and has been estimated to cost the NHS as much as £620m per annum – more than lung and skin cancer combined.

Delays in medical staff recognising the condition has also traditionally caused further problems. But clinicians will soon be able to intervene much earlier, with the ability to both identify patients who already have AKI when they arrive at hospital and the ability to predict which patients are at greatest risk of developing the condition whilst in their care.

Dr Lui Forni, the consultant renal physician leading the initiative at Western Sussex Hospitals NHS Foundation Trust, said: "Patientrack gives us the ability to flag up which patients are at risk of acute kidney injury almost from the moment they walk through the door. We can see which patients are at risk from the first set of observations we take.

"Effectively it is an intelligent real-time technology that should systemically improve the care of patients. It will prevent and it will help to improve the management of people who come in with AKI."

The system will capture physiological data directly from the patient's bedside and will interrogate data from other systems, such as the hospital's Patient Administration System, also taking into account important information such as blood chemistry results. It will then use the trust’s scoring algorithm to identify every patient with identifiable acute kidney injury that comes into hospital.

After identifying and predicting AKI problems, Patientrack will also be used to manage patients. Those who already have the condition will be highlighted with a red flag so they can hopefully be given appropriate treatment by staff. Those at risk of the condition will be given an amber flag and the system will alert junior doctors to carry out necessary actions to prevent AKI, which senior doctors can then check.

"Having a system where you can identify early and intervene should make a considerable difference,” added Dr Forni, who is also the chair of the AKI section of the European Society of Intensive Care Medicine (ESICM).

"Ultimately, if we can identify people and do something about it, even if we can reduce incidents of hospital acquired acute kidney injury by 50 per cent, then that would be a dramatic improvement and should translate to improved patient outcomes."

The project was identified as one of 14 pioneering solutions to become eligible for a share of the £3.6m fund, which has been managed by the National Institute for Health Research Devices for Dignity Healthcare Technology Co-operative. The fund is intended to address the life-changing effects of kidney failure.

Donald Kennedy, managing director at Patientrack, said: "This is a great example of the NHS leading the world in patient safety. Patientrack is seeing a growing appetite within the NHS to improve safety for patients and save lives through innovative, evidence-based technology. It is a welcome opportunity to be part of this leading-edge collaboration between the NHS and a UK SME."

After initial use at hospitals in Western Sussex, it is hoped that the system will be adopted across the NHS to reduce incidents of AKI more widely.

About Western Sussex Hospitals NHS Foundation Trust
On 1 July, 2013, Western Sussex Hospitals NHS Trust became Western Sussex Hospitals NHS Foundation Trust. The milestone was reached just over four years after the trust was formed, on 1 April, 2009, following the merger of the Royal West Sussex NHS Trust, which served the population in the Chichester area, and the Worthing and Southlands NHS Trust, serving people living around Worthing and Shoreham-by-Sea.

The trust serves a population of approximately 450,000 people, providing a full range of acute hospital services. There are three principal sites: St Richard’s Hospital in Chichester; Worthing Hospital, and Southlands Hospital in Shoreham-by-Sea. Trust staff also provide a range of services in other community settings, including Bognor War Memorial Hospital, Crawley Hospital, health centres and GP surgeries.

The trust has approximately 900 inpatient beds. The two main acute sites are St. Richard's and Worthing hospitals, where patients can access accident and emergency services, acute medical care, maternity and children's services and a range of surgical specialties. Southlands Hospital offers patients a range of day case procedures, diagnostic and outpatient appointments, and will be developed as a centre for ambulatory care, and also ophthalmology.

About Patientrack
Patientrack helps hospitals deliver safer care - which is also more cost-effective care - by ensuring observation and assessment protocols are carried out correctly and consistently, and by automatically calculating early warning scores and alerting clinicians when interventions are needed. Through early identification of deteriorating patients, and the promoting of necessary assessments, Patientrack helps hospitals meet national and local targets for improvements in patient safety, improving patient outcomes and supporting frontline staff, while at the same time cutting costs. Patientrack was developed in conjunction with clinicians and nurses and its effectiveness in delivering both patient safety and cost improvements has been proven in a peer-reviewed clinical trial at Central Manchester University Hospitals NHS Foundation Trust.

About the NIHR Devices for Dignity Healthcare Technology Co-operative
The National Institute for Health Research Devices for Dignity (D4D) Healthcare Technology Co-operative (NIHR Devices for Dignity HTC) is a National initiative, hosted by Sheffield Teaching Hospitals NHS Foundation Trust It works with people, clinical and healthcare staff, inventors, charities, industry and academics - bringing real solutions to areas of clinical and patient need in assistive and rehabilitative technologies, urinary continence management and renal technologies.

About SBRI
The Small Business Research Initiative (SBRI), delivered through the Technology Strategy Board, is a well established process to connect public sector challenges with innovative ideas from industry, supporting companies to generate economic growth and enabling improvement in achieving government objectives.

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...