Isansys Named as Finalist for OBN's Most Transformative Digital Healthcare Company Award

Isansys LifecareIsansys Lifecare is proud to announce it has been shortlisted in the Most Transformative Digital Healthcare Company category at the OBN Annual Awards 2019. The award recognises the significant uptake of the technology by healthcare providers and the real impact Isansys' technology is having on patients and hospitals globally.

Isansys Lifecare in Oxford has designed and developed the Patient Status Engine (PSE), the most advanced all-wireless patient monitoring system platform currently available. The PSE automates the basic process of taking patient observations, enabling the efficient collection of high quality, continuous, real-time vital sign data which is then used to build predictive indicators to help make better clinical decisions. The technology enables timely interventions that enhance the care and safety of patients, and, by providing robust and accurate physiological data, it has proved itself to be a new and powerful clinical system that is currently being adopted by an increasing number of healthcare providers globally.

OBN, a not-for-profit business network, provides support for innovative life science companies, corporate partners and investors in the UK. This year marks the 11th anniversary of their annual awards, which celebrate and recognise achievement in the industry.

Keith Errey, CEO of Isansys, says: "It is really pleasing as we come into our tenth year that we can say that we are established as the world's leading supplier of wireless physiological data monitoring systems. After all this time we can see healthcare providers starting to adopt the PSE as a new standard for in-ward and out-of-hospital monitoring and so bring the benefits of data-driven safer care to a greater number of patients.

"Our digital healthcare technology is delivering huge efficiencies to healthcare providers globally, improving patient outcomes and preventing avoidable deaths in the context of the immediate global healthcare crisis. We have seen the transformative effect of the technology in countries as diverse as Scandinavia and India, and we would hope the NHS can also benefit from this in the near future."

The winners will be announced on Thursday 7th of November at The Examination Schools of the University of Oxford.

About Isansys Lifecare Ltd

Isansys is a best in class digital healthcare company with an innovative patient monitoring platform, streamlining patient observations and enabling the early detection of deterioration in patients. With adequate warning of adverse events, clinicians can intervene more quickly and confidently, and patient outcomes can be improved. The Patient Status Engine (PSE), Isansys' proprietary technology platform, is a complete end-to-end, fully certified Class IIa CE-marked and class II 510(k) cleared medical device which uses wireless body-worn sensors to automatically collect and analyse vital signs continuously and in real-time using proprietary algorithms. This data is then streamed via a patient gateway network and delivered to the nurses' station or remotely to clinicians.

Clinical teams globally are using the data collected and analysed by the PSE to gain insights into the future health status of their patients, which is achieved through data-driven methods such as predictive algorithms, the automatic calculation of Early Warning Scores, and new physiologically based biomarkers. These enable clinicians and nurses to improve patient outcomes and reduce the costs of hospital stays and facilitate proactive care. The wireless nature of the PSE also means patients can be monitored in hospitals, in the community or at home.

Isansys a privately held company based in Abingdon, Oxfordshire, England.

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...

Two Artificial Intelligences Talk to Eac…

Performing a new task based solely on verbal or written instructions, and then describing it to others so that they can reproduce it, is a cornerstone of human communication that...

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...

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...

AI-Based App can Help Physicians Find Sk…

A mobile app that uses artificial intelligence, AI, to analyse images of suspected skin lesions can diagnose melanoma with very high precision. This is shown in a study led from...

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...

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...