Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.

On Friday 25th November, the Diagnostic Evidence Co-operative launched the first of a series of seminars to explore wearable technologies, imaging devices and digital health related technologies.

The first seminar in the series was entitled 'The potential for wearable technology in ambulatory care: Isansys Patient Status Engine' and was given by Keith Errey from Isansys. The talk was followed by a demonstration of the technology and a panel discussion on the benefits of the device.

The patient status engine uses wireless technology to monitor the health of patients in six different ways: 

  • Heart rate
  • Respiration rate
  • Temperature
  • Oxygen saturation
  • Blood pressure
  • Coma score

Each patient wears a patch which is embedded with electrodes to continuously monitor vital signs, then the data captured is displayed on a screen next to the patient. The system is entirely portable meaning that the device can be used either in hospital or at home with data always being available to employ continuous monitoring.

You can see the slides presented by downloading them from our Reports and Resources page, and further information on Isansys can be found here.

Similar stories

COVID-19: Online Medical Device Regulation Tool Goes Live

A digital tool to make it easier to understand how medical device regulations apply to your product in the current climate.

Call for industry's challenges in tackling antimicrobial resistance

Host a roundtable discussion with leading academics to discuss your challenges in developing vaccines, antimicrobials or AMR-relevant point-of-care diagnostics and medical technologies

Are diagnostic tests cost-effective? Modified assessment checklist produced

A diagnostic test-specific checklist to assess decision modelling has been developed and piloted.