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

Giving Doctors an AI-Powered Head Start …

Detection of melanoma and a range of other skin diseases will be faster and more accurate with a new artificial intelligence (AI) powered tool that analyses multiple imaging types simultaneously...

Philips Foundation 2024 Annual Report: E…

Marking its tenth anniversary, Philips Foundation released its 2024 Annual Report, highlighting a year in which the Philips Foundation helped provide access to quality healthcare for 46.5 million people around...

Scientists Argue for More FDA Oversight …

An agile, transparent, and ethics-driven oversight system is needed for the U.S. Food and Drug Administration (FDA) to balance innovation with patient safety when it comes to artificial intelligence-driven medical...

AI Agents for Oncology

Clinical decision-making in oncology is challenging and requires the analysis of various data types - from medical imaging and genetic information to patient records and treatment guidelines. To effectively support...

Start-ups in the Spotlight at MEDICA 202…

17 - 20 November 2025, Düsseldorf, Germany. MEDICA, the leading international trade fair and platform for healthcare innovations, will once again confirm its position as the world's number one hotspot for...

AI Medical Receptionist Modernizing Doct…

A virtual medical receptionist named "Cassie," developed through research at Texas A&M University, is transforming the way patients interact with health care providers. Cassie is a digital-human assistant created by Humanate...

Using Data and AI to Create Better Healt…

Academic medical centers could transform patient care by adopting principles from learning health systems principles, according to researchers from Weill Cornell Medicine and the University of California, San Diego. In...

AI Tool Set to Transform Characterisatio…

A multinational team of researchers, co-led by the Garvan Institute of Medical Research, has developed and tested a new AI tool to better characterise the diversity of individual cells within...

AI Detects Hidden Heart Disease Using Ex…

Mass General Brigham researchers have developed a new AI tool in collaboration with the United States Department of Veterans Affairs (VA) to probe through previously collected CT scans and identify...

Highland Marketing Announced as Official…

Highland Marketing has been named, for the second year running, the official communications partner for HETT Show 2025, the UK's leading digital health conference and exhibition. Taking place 7-8 October...

Human-AI Collectives Make the Most Accur…

Diagnostic errors are among the most serious problems in everyday medical practice. AI systems - especially large language models (LLMs) like ChatGPT-4, Gemini, or Claude 3 - offer new ways...

MHP-Net: A Revolutionary AI Model for Ac…

Liver cancer is the sixth most common cancer globally and a leading cause of cancer-related deaths. Accurate segmentation of liver tumors is a crucial step for the management of the...