Electronic Observations Technology can Help Hospitals Fight Against Sepsis

PatientrackFrontline doctors and nurses should be able to use electronic observations technology to help with the urgent identification and treatment of sepsis that has today been called for by the National Institute for Health and Care Excellence (NICE), Patientrack has said.

NICE has released guidance on sepsis, building on data from The UK Sepsis Trust that shows 44,000 die as a result of sepsis each year, with estimates of an annual 150,000 cases of the deadly condition.

The watchdog urged that people who show signs of sepsis should be treated with the same urgency given to those with suspected heart attacks, as it published its new guideline on the recognition, diagnosis and early management of the condition.

Such recognition, diagnosis and early management of sepsis requires a concerted effort by frontline staff. Alongside awareness, education and appropriate processes, electronic observations and alerting systems can play an important part by providing real-time information about those at risk of the condition, enabling assessment and prompting and monitoring compliance with guidelines, said Patientrack.

The SME provides this technology, which monitors a patient’s vital signs and automatically alerts doctors when those observations indicate urgent need, to help a growing number of hospitals across the country identify the condition early.

"Spotting sepsis in hospitals is an ongoing challenge, and this new guidance from NICE will help greatly in the fight against this devastating condition," said Donald Kennedy, managing director at Patientrack.

"Digital observations technology can play an important part in this fight, by helping identify those at risk of sepsis, alerting clinical staff when help is needed, and applying protocols such as the sepsis six so that patients get the best possible care."

Healthcare organisations in England, Scotland and abroad are using Patientrack to deliver a major impact on patient safety, with several already using the technology for both the identification and management of sepsis. The benefits of the technology are already being felt.

Dr Luke Hodgson, intensive care research registrar at Western Sussex Hospitals NHS Foundation Trust (WSHFT), said: "Work being carried out at Western Sussex Hospitals NHS Foundation Trust is raising awareness and improving treatment of sepsis. The Patientrack alert we have in place from admission to hospital, automatically triggers when patients show physiological signs that they may be at risk of sepsis on the National Early Warning Score (NEWS) and asks clinicians whether they consider infection to be likely. If the clinician agrees, this triggers the sepsis six care bundle to be automatically generated on Patientrack, facilitating early appropriate intervention by clinical staff to prevent harm."

Researchers at WSHFT are currently collaborating with Patientrack and The University of Southampton to develop precise prediction models that aim to improve recognition of those with sepsis that can harness available Patientrack technology.

Hospitals using Patientrack technology have also been collaborating on best practice approaches to the identification and management of sepsis, which will provide an essential foundation for future research into this devastating condition. The NICE guidance builds on many of the issues raised in November’s Just Say Sepsis report from the National Confidential Enquiry into Patient Outcome and Death (NCEPOD).

Donald Kennedy added: "Our NHS partners have already demonstrated how the technology can reduce mortality and decrease length of stay. A McKinsey report commissioned by NHS England showed that technologies like Patientrack could save the NHS £300m. More importantly, by using technology like Patientrack to identify and manage sepsis, doctors and nurses are better supported to save lives."

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

Researchers Invent AI Model to Design Ne…

Researchers at McMaster University and Stanford University have invented a new generative artificial intelligence (AI) model which can design billions of new antibiotic molecules that are inexpensive and easy to...

Alcidion and Novari Health Forge Strateg…

Alcidion Group Limited, a leading provider of FHIR-native patient flow solutions for healthcare, and Novari Health, a market leader in waitlist management and referral management technologies, have joined forces to...

Greater Manchester Reaches New Milestone…

Radiologists and radiographers at Northern Care Alliance NHS Foundation Trust have become the first in Greater Manchester to use the Sectra picture archiving and communication system (PACS) to report on...

Powerful New AI can Predict People'…

A powerful new tool in artificial intelligence is able to predict whether someone is willing to be vaccinated against COVID-19. The predictive system uses a small set of data from demographics...

ChatGPT can Produce Medical Record Notes…

The AI model ChatGPT can write administrative medical notes up to ten times faster than doctors without compromising quality. This is according to a new study conducted by researchers at...

Can Language Models Read the Genome? Thi…

The same class of artificial intelligence that made headlines coding software and passing the bar exam has learned to read a different kind of text - the genetic code. That code...

Advancing Drug Discovery with AI: Introd…

A transformative study published in Health Data Science, a Science Partner Journal, introduces a groundbreaking end-to-end deep learning framework, known as Knowledge-Empowered Drug Discovery (KEDD), aimed at revolutionizing the field...

Study Shows Human Medical Professionals …

When looking for medical information, people can use web search engines or large language models (LLMs) like ChatGPT-4 or Google Bard. However, these artificial intelligence (AI) tools have their limitations...

Wanted: Young Talents. DMEA Sparks Bring…

9 - 11 April 2024, Berlin, Germany. The digital health industry urgently needs skilled workers, which is why DMEA sparks focuses on careers, jobs and supporting young people. Against the backdrop of...

Shared Digital NHS Prescribing Record co…

Implementing a single shared digital prescribing record across the NHS in England could avoid nearly 1 million drug errors every year, stopping up to 16,000 fewer patients from being harmed...

Bayer and Google Cloud to Accelerate Dev…

Bayer and Google Cloud announced a collaboration on the development of artificial intelligence (AI) solutions to support radiologists and ultimately better serve patients. As part of the collaboration, Bayer will...

Ask Chat GPT about Your Radiation Oncolo…

Cancer patients about to undergo radiation oncology treatment have lots of questions. Could ChatGPT be the best way to get answers? A new Northwestern Medicine study tested a specially designed ChatGPT...