NHS Could Prevent Deadly Acute Kidney Injury after UK Company Wins Government Funds

The NHS is moving one step closer to preventing thousands of avoidable deaths after new government funding was awarded to an innovative UK company that is working with hospitals to prevent acute kidney injury (AKI), a devastating condition believed to be linked with as many as 100,000 deaths in UK hospitals every year.

Patientrack, which provides the NHS with technology that automatically detects patients at risk of deterioration and then alerts nurses and doctors to intervene, has been working alongside Western Sussex Hospitals NHS Foundation Trust to develop a system to automatically detect and help prevent AKI. The condition is cited as being 100 times more deadly than MRSA and is estimated to cost the health service between £434m and £620m every year, more than skin cancer and lung cancer combined.

The system alerts clinicians to patients at risk of AKI so that they can manage and prevent the condition, and has already received Department of Health funding last summer so that it could be developed and trialled with Western Sussex Hospitals. Now the Patientrack AKI warning system could be scaled across the NHS as a result of a new funding win from a multi-million pound Small Business Research Initiative (SBRI) competition.

Professor Lui Forni, a consultant in intensive care and renal medicine, adviser to the project and chair of the AKI section of the European Society of Intensive Care Medicine (ESICM) said: "Patientrack gives clinicians the ability to flag up which patients are at risk of acute kidney injury almost from the moment they walk through the door, so that they can see which patients are at risk from the first set of observations.

"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."

Dr Richard Venn, a consultant in anaesthesia and intensive care at Western Sussex Hospitals NHS Foundation Trust, said: "This technology should be of significant interest to NHS hospitals. Early intervention should help to prevent morbidity and mortality, including secondary complications such as chronic kidney disease and more can be achieved, including reduced lengths of stay and the potential for a reduction in renal replacement therapies and escalation to intensive care."

The system combines a risk scoring model developed by specialist UK clinicians with a nationally mandated algorithm, and uses the Patientrack early warning system to alert doctors in real-time when a patient is at risk, or has AKI. This translates into a flag system that gives clinical staff complete visibility of those patients who already have AKI, and predicts which are at risk of developing it, so that doctors and nurses can take early action and stop conditions worsening. It also directly contacts clinicians to intervene using a hospital’s existing paging system or mobile technology.

AKI affects as many as one in five emergency admissions into hospital, and has been highlighted by NHS England as one of two specific clinical priorities for improving patient outcomes for 2015/16, due to its potential impact on care. As a result the commissioning for quality and innovation (CQUIN) performance framework now rewards hospitals financially for effectively managing patients with AKI. Patientrack's AKI technology offers hospitals a way to fulfil CQUIN targets for 2015/16 and goes much further, enabling prediction and prevention and collating the data necessary to tackle this lethal condition in the longer term.

The solution is being made available to all hospitals already using the Patientrack early warning and alerting system, and a standalone AKI product is also being launched for other NHS hospitals.

Patientrack was one of six winners that will receive a share of a £2m SBRI competition aimed at developing cutting-edge technology solutions to help kidney patients. The competition is funded by the Department of Health and managed by the National Institute for Health Research Healthcare Technology Co-operative Devices for Dignity (D4D).

Commenting at the end of March on the award, life sciences minister George Freeman said: "Competitions such as this help the development of cutting-edge technologies which will make a real difference to kidney patients. The UK is fast becoming the world leader in 21st century medicine, driving innovation and supporting small businesses to grow."

Donald Kennedy, managing director at Patientrack, said: "Small firms can offer the NHS real innovation to help improve the lives of patients and deliver better, safer care. This is a great example of embracing the UK's SME base to deliver genuine improvements and to give doctors and nurses the tools they need to improve outcomes for their patients and reduce the risk of harm."

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.

About SBRI
The Small Business Research Initiative (SBRI) is a well-established process to connect public sector challenges with innovative ideas from industry. It generates new business opportunities for companies, provides small and medium-sized enterprises (SMEs) a route to market for their ideas and bridges the seed funding gap experienced by many early stage companies. It supports economic growth and enables the development of innovative products and services through public procurement of research and development. The SBRI competition is funded by the Department of Health and managed by the National Institute for Health Research Devices for Dignity Healthcare Technology Co-operative.

About the NIHR Devices for Dignity Healthcare Technology Co-operative (NIHR D4D HTC)
Delivering technology solutions to support people with long-term conditions - preserving their dignity and independence. The NIHR D4D HTC is a national initiative, hosted by Sheffield Teaching Hospitals NHS Foundation Trust, working 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. D4D's Renal Technologies theme aims to develop systems, devices and services to assist people with renal conditions to maintain their independence.

Projects within the scope of the renal technologies area focus on:

  • Preserving dignity and promoting independence and quality of life for people suffering kidney diseases
  • Improving patient access to home dialysis
  • Improving patient experience and rehabilitation
  • Enabling early diagnosis and prevention of kidney disease

Using hands-on support, NIHR D4D HTC takes ideas from concept through to commercialisation as rapidly as possible - providing a sustainable pipeline of projects.

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...