Isansys Lifecare, a digital healthcare company and developer of a patient monitoring platform that enables the early detection of deterioration in patients, has announced that a key method patent has been granted by the US Patent Office. The patent relates to the wireless wearable sensor technology incorporated in the Patient Status Engine (PSE), a new kind of medical device that integrates sensors, connectivity and predictive analytics into an end-to-end, complete, and easy to use system.
This patent broadly protects the construction and methods used by Isansys to recycle its Lifetouch and Lifetemp wireless body-worn sensors which, as part of the Patient Status Engine, are used by clinicians and nurses to automatically collect and analyse their patients’ vital signs in real-time. The recycling method, already fully qualified and included in the CE and FDA regulatory certifications, involves off-site environmentally compliant disposal of certain parts followed by reprocessing and re-use of the most expensive components.
Keith Errey, CEO of Isansys, said: 'The granting of this patent is critically important and further strengthens our patient monitoring platform as it covers a key method for reducing the costs of the devices, making them universally affordable. Other large scale in-patient wireless monitoring projects have failed because the technology has been too expensive. With this patent, we can now realise our ambition of building new and comprehensive physiological data sets through the provision of accurate, wireless wearable sensor monitoring for patients in all countries and in all healthcare facilities, including hospital-at-home applications. Most importantly, however, we are protecting the environment and reducing costs for patients and providers.'
Since there is a growing, and in some countries, mandated, the requirement for hospitals to reduce the amount of medical waste, the granting of this patent further reinforces Isansys position in wireless patient monitoring technology, and patient digitisation and analysis systems.
