Peterborough and Stamford Hospitals NHS Foundation Trust Roll-out Mobile Observations and Handover

Nervecentre Software Peterborough and Stamford Hospitals NHS Foundation Trust are now rolling out mobile observations and Handover for nurses and clinicians in their hospitals with two wards already live. Last year, the Trust agreed a partnership with Nervecentre Software to deliver this innovative and bespoke electronic observations system for nurses and doctors to record and monitor patient observations via mobile devices. Roll-out will continue during Spring this year.

Funded by the Nursing Technology Fund, the software also includes a handover function used by both doctors and nurses which ensures there is a smooth transition from recording of information for handover, to continuous care throughout the patients stay.

Key intellectual functionality of the Nervecentre software includes calculating Early Warning Scores which will intuitively alert individual clinical staff that urgent attention is required and cascade results to the specified care team. This Nervecentre escalation software will make sure that all clinical staff at Peterborough Hospitals have access to essential patient information at any point within the hospital, improving the ability to prioritise care outside the confines of a ward based environment.

Chief Nurse, Jo Bennis, Peterborough and Stamford Hospitals, explained: "Implementation of the electronic observations software enables nurses to record clinical observations and data on hand held devices at the bedside and analyse the vital sign data instantly. The captured information will be used to assist the decision making process for timely escalation to medical teams including the Critical Care Outreach Team and improve the quality of handover information between nursing and clinical teams. This project forms part of the Trust's IM&T strategy linking in with the Trust's aim to be paperlite by 2017. The software will also provide clinical handover capabilities between nursing shifts improving the governance process. In addition implementation will support adherence to the Keogh standards for urgent care."

In addition, the specialist Nervecentre solution, Hospital-at-Night, is planned to be deployed later in 2016 which will allow escalations and job lists to be transferred via the system out of hours - ensuring patient care remains consistent 24 hours a day, 7 days a week.

About Nervecentre Software Ltd
Nervecentre Software Ltd is a pioneer in bringing clinical applications to mobile technology within acute hospitals.

Mobile technology has the ability to revolutionise patient safety and productivity within a hospital, through applications that make it easier for clinicians to communicate, share data, and leverage the whole hospital resources.

Nervecentre uniquely provides a whole hospital platform that can deliver electronic observations, handover, task management and clinical assessments; and allows governance and escalation management to be added to any hospital process.

With Head Offices in Wokingham, Nervecentre focus upon the NHS and have delivered award-winning mobile solutions to some of the largest hospitals in the UK and Europe since 2010.

Most Popular Now

Do Fitness Apps do More Harm than Good?

A study published in the British Journal of Health Psychology reveals the negative behavioral and psychological consequences of commercial fitness apps reported by users on social media. These impacts may...

AI Tool Beats Humans at Detecting Parasi…

Scientists at ARUP Laboratories have developed an artificial intelligence (AI) tool that detects intestinal parasites in stool samples more quickly and accurately than traditional methods, potentially transforming how labs diagnose...

Making Cancer Vaccines More Personal

In a new study, University of Arizona researchers created a model for cutaneous squamous cell carcinoma, a type of skin cancer, and identified two mutated tumor proteins, or neoantigens, that...

AI can Better Predict Future Risk for He…

A landmark study led by University' experts has shown that artificial intelligence can better predict how doctors should treat patients following a heart attack. The study, conducted by an international...

A New AI Model Improves the Prediction o…

Breast cancer is the most commonly diagnosed form of cancer in the world among women, with more than 2.3 million cases a year, and continues to be one of the...

AI System Finds Crucial Clues for Diagno…

Doctors often must make critical decisions in minutes, relying on incomplete information. While electronic health records contain vast amounts of patient data, much of it remains difficult to interpret quickly...