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Transforming Medicine: Evidence-Driven mHealth
2015-09-30 - 2015-10-02    
8:00 am - 5:00 pm
September 30-October 2, 2015Digital Medicine 2015 Save the Date (PDF, 1.23 MB) Download the Scripps CME app to your smart phone and/or tablet for the conference [...]
Health 2.0 9th Annual Fall Conference
2015-10-04 - 2015-10-07    
All Day
October 4th - 7th, 2015 Join us for our 9th Annual Fall Conference, October 4-7th. Set over 3 1/2 days, the 9th Annual Fall Conference will [...]
2nd International Conference on Health Informatics and Technology
2015-10-05    
All Day
OMICS Group is one of leading scientific event organizer, conducting more than 100 Scientific Conferences around the world. It has about 30,000 editorial board members, [...]
MGMA 2015 Annual Conference
2015-10-11 - 2015-10-14    
All Day
In the business of care delivery®, you have to be ready for everything. As a valued member of your organization, you’re the person that others [...]
5th International Conference on Wireless Mobile Communication and Healthcare
2015-10-14 - 2015-10-16    
All Day
5th International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies" The fifth edition of MobiHealth proposes [...]
International Health and Wealth Conference
2015-10-15 - 2015-10-17    
All Day
The International Health and Wealth Conference (IHW) is one of the world's foremost events connecting Health and Wealth: the industries of healthcare, wellness, tourism, real [...]
Events on 2015-09-30
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MGMA 2015 Annual Conference
11 Oct 15
Nashville
Events on 2015-10-15
Latest News

COVID-19 has accelerated adoption of non-contact patient monitoring technology, says Frost & Sullivan analysis

Contactless monitoring systems and smartphone health applications are playing a vital role in the war against COVID-19, a report has found. According to the analysis by Frost & Sullivan, non-contact patient monitoring technologies are gravitating toward the use of video, sound analysis and mobile-based platforms incorporating advanced technologies such as machine learning and artificial intelligence (AI) algorithms.

It predicts a shift away from wearable technology, which it says can be uncomfortable, expensive and have limited usage, in favour of non-contact technology which have the advantages of being multi-use and affordable.

The report, Advanced Non-contact Patient Monitoring Technologies: A New Paradigm in Healthcare Monitoring, is available as part of Frost & Sullivan’s global Growth Partnership Service programme.

It suggests that for further revenue opportunities, market participants should explore:

  • Sound analysis technology for remote monitoring of influenza-like illness (ILI) patients based on their cough;
  • video-based, non-contact monitoring technology that can diagnose mental stress by detecting physiological and emotional signs such as depression, anger, and restlessness;
  • radar sensor technology that can track respiration and heart rate for symptoms of respiratory diseases such as asthma, COPD, and COVID-19;
  • non-contact, sensor-based technology that can track heart rate, respiration rate, and blood pressure for individuals interested in health and fitness; and
  • telehealth market, which will experience a significant increase due to mobile platform technology.

WHY IT MATTERS

The COVID-19 pandemic has presented an opportunity for non-contact patient monitoring technologies, which can facilitate the early detection of respiratory complications in suspected patients, while reducing the chances of infection among physicians and healthcare workers.

“These technologies can also be leveraged by pharmaceutical companies to monitor the results of the drugs developed by them,” said Ashish Kaul, technical insights senior research analyst at Frost & Sullivan.

THE LARGER CONTEXT

Telemedicine has experienced a huge surge in adoption over the past few months, during the coronavirus pandemic, according to, founder of Digital Health Connector.  She cites examples such as which uses AI and signal processing to measure patients’ vitals via a smartphone’s camera, and which has developed a device that patients can use at home during a teleconsultation to measure vital signs.