NHS Fife Wins Award after Cutting Cardiac Arrests with Patientrack

PatientrackNHS Fife has won a prestigious digital health award after frontline doctors and nurses have delivered rapid improvements in patient safety by harnessing an early warning technology known as Patientrack.

The health board reduced cardiac arrests by more than two thirds in the busiest area of its Victoria Hospital, and has seen major improvements in managing the sickest patients across the hospital, after only six months of becoming the first in Scotland to introduce a comprehensive electronic clinical observations and early warning system.

Amongst the immediate high impact findings first revealed by NHS Fife in March, it has also emerged that frontline staff have observed some of the most significant and immediate changes in clinical practice ever seen, as a result of the project that has, for the first time, allowed staff to identify patients at risk of deterioration across the hospital and intervene early.

Judges at the Holyrood Connect ICT Awards have recognised the results in improved care and named NHS Fife as winner of the 2016 award for digital health, beating several organisations to the prize. In addition the health board has also become a finalist in the UK's EHI Awards 2016 for the best use of IT to improve patient safety.

Donald Kennedy, managing director at Patientrack, said: "NHS Fife has delivered remarkable results for patient care in a matter of months with Patientrack, a trend which is continuing. It is fantastic to see the hard work of clinical and eHealth teams in the health board recognised for a project which is helping staff to reduce avoidable harm and deliver better outcomes for patients."

Dr Gavin Simpson, consultant critical care and anaesthetics and project lead at NHS Fife, said: "The introduction of Patientrack has meant that, for the first time, doctors and nurses can instantly see the sickest patients in the hospital in real-time, and are automatically alerted to intervene.

"Nurses no longer need to manually phone for doctors to attend deteriorating or vulnerable patients, freeing time for other important clinical tasks. Patients can be better prioritised, with observations captured more accurately and completely."

The Holyrood Connect ICT Award is the latest recognition of the project at NHS Fife. The work to deliver better care and prevent avoidable harm has attracted the attention of other health boards in Scotland.

About NHS Fife
NHS Fife provides healthcare to the 370,000 residents of Fife and employs around 8,500 staff. As a large rural area with varied geography and several centres of population, there are particular challenges to meet the health needs of the people of Fife.

Alongside the Victoria Hospital in Kirkcaldy and the Queen Margaret Hospital in Dunfermline, NHS Fife has 8 community hospitals spread throughout the Kingdom.

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 and reducing paper. Patientrack was developed in conjunction with health professionals and its effectiveness in delivering both patient safety and cost improvements has been proven in a peer-reviewed clinical journal.

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...