Isansys 'Smart Patch' Wireless Monitoring Platform Supports Early Interventions and Opens Potential New Pathways for Patients with Advanced Liver Disease

Isansys LifecareIsansys Lifecare, a digital healthcare company and developer of the Patient Status Engine, an innovative patient monitoring platform,and the Lifetouch wireless "smart patch" cardiac sensor, today announces the results of a study pointing to a new pathway for managing patients with advanced liver disease based on new methods employing data-driven biomarkers.

One hundred and eleven patients were included in the collaborative study between the University College London Royal Free Hospital, UK, and the University of Bonn, Germany,which showed that a significant reduction in heart rate variability is a feature of acute decompensation of cirrhosis and,remarkably, predicts 90‐day mortality in these patients.

In a preliminary study, the London team validated the Patient Status Engine and Lifetouch sensor as an ideal remote monitoring system and used it to create a baseline heart rate variability (HRV) data set from a group of healthy volunteers. They then used the Lifetouch to assess heart rate variability (HRV) remotely and non-invasively on patients admitted to the Royal Free Hospital with an acute decompensation (a significant deterioration) of advanced cirrhosis.

The results concluded that continuous, wireless monitoring of HRV is feasible in patients with advanced liver disease. The study also supported the hypothesis of both hospital teams that reduced HRV, correlates with severity of liver decompensation, facilitating the identification of high-risk patients, and allowing for timely interventions. In light of these findings, the study suggests the future potential for such continuous monitoring and the prospective health economic benefit of measuring HRV remotely.

The report said: "Traditional ECG measurement of HRV encompasses short-term 5-minute ECG segments being interpreted separately as reflecting HRV in that specific time window, under stable physiological conditions. The Lifetouch system by contrast, not only facilitates continuous monitoring irrespective of the individuals' daily activity or physical ill-health but also helps negate the short coming of limited ECG time capture which make further interpretation difficult. Using the remote monitoring device, we were able to interpret HRV in all monitored in-patients with acute decompensation."

Keith Errey, CEO of Isansys, said: "We are pleased to have been able to contribute to this important and groundbreaking workthathas shown how patients, clinicians and providers will benefit from a new class of data driven biomarkers. We look forward to continuing the work with the two teams on the next full-scale demonstrator phase of this vital project.

"The Patient Status Engine is more than a remote patient monitoring platform. It is able to directly produce the most complete and accurate physiological data sets outside an intensive care unit, for all patients including those at home. These data sets are the basic requirements for transformative new ways of diagnosing and managing patients as AI and deep learning methods become more widely used in healthcare."

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

Almost All Leading AI Chatbots Show Sign…

Almost all leading large language models or "chatbots" show signs of mild cognitive impairment in tests widely used to spot early signs of dementia, finds a study in the Christmas...

New Study Reveals Why Organisations are …

The slow adoption of blockchain technology is partly driven by overhyped promises that often obscure the complex technological, organisational, and environmental challenges, according to research from the University of Surrey...

New Recommendations to Increase Transpar…

Patients will be better able to benefit from innovations in medical artificial intelligence (AI) if a new set of internationally-agreed recommendations are followed. A new set of recommendations published in The...

Digital Health Unveils Draft Programme f…

18 - 19 March 2025, Birmingham, UK. Digital Health has unveiled the draft programme for its Rewired 2025 event which will take place at the NEC in Birmingham in March next...

AI System Helps Doctors Identify Patient…

A new study from Vanderbilt University Medical Center shows that clinical alerts driven by artificial intelligence (AI) can help doctors identify patients at risk for suicide, potentially improving prevention efforts...

Smartphone App can Help Reduce Opioid Us…

Patients with opioid use disorder can reduce their days of opioid use and stay in treatment longer when using a smartphone app as supportive therapy in combination with medication, a...

AI's New Move: Transforming Skin Ca…

Pioneering research has unveiled a powerful new tool in the fight against skin cancer, combining cutting-edge artificial intelligence (AI) with deep learning to enhance the precision of skin lesion classification...

Leveraging AI to Assist Clinicians with …

Physical examinations are important diagnostic tools that can reveal critical insights into a patient's health, but complex conditions may be overlooked if a clinician lacks specialized training in that area...

AI can Improve Ovarian Cancer Diagnoses

A new international study led by researchers at Karolinska Institutet in Sweden shows that AI-based models can outperform human experts at identifying ovarian cancer in ultrasound images. The study is...

Major EU Project to Investigate Societal…

A new €3 million EU research project led by University College Dublin (UCD) Centre for Digital Policy will explore the benefits and risks of Artificial Intelligence (AI) from a societal...

Predicting the Progression of Autoimmune…

Autoimmune diseases, where the immune system mistakenly attacks the body's own healthy cells and tissues, often have a preclinical stage before diagnosis that’s characterized by mild symptoms or certain antibodies...

New AI Tool Uses Routine Blood Tests to …

Doctors around the world may soon have access to a new tool that could better predict whether individual cancer patients will benefit from immune checkpoint inhibitors - a type of...