Proving the Business Case for the Internet of Things

Connected Health News


Fitbit shows wearables can detect Covid-19 early

Early findings from a Fitbit Covid-19 study suggest wearable devices can identify signs of disease at its earliest stages.
Read full article>>

Deutsche Telekom network supports medical drone pilot

The university city of Siegen in Germany and Deutsche Telekom are partnering to find ways of making possible drone flights for medical logistic purposes.
Read full article>>

Bluetooth SIG wants wearables included in Covid-19 track and trace

The Bluetooth Special Interest Group (SIG) is working to create a specification that will enable wearable devices to participate in existing smartphone-based Covid-19 exposure notification systems (ENSs).
Read full article>>

SAS partners Intelligent Locations in IoT contact tracing

SAS is working with Illinois-based Intelligent Locations to support healthcare organisations' IoT and Covid-19 contact tracing efforts.
Read full article>>

How mhealth can help in fight against Covid-19

An international task force ked by a Harvard Medical School associate professor has found that mhealth technologies are viable for monitoring Covid-19 patients at home and predict which ones will need medical intervention.
Read full article>>

PCCW and Sure provide home-based medical care

Hong Kong telecoms company PCCW Global is working with Sure Universal, an Israeli software and platform developer, to deliver IoT-based home care medical services.
Read full article>>

Longan contactless technology flattens Covid-19 curve

Contactless temperature taking technology can help flatten the Covid-19 curve, according to Canadian company Longan Vision.
Read full article>>

Researchers deploy AI to speed up detection of Covid-19

Researchers at the University of Notre Dame in Indiana are developing a technique using artificial intelligence (AI) that would improve CT screening to identify patients with Covid-19 more quickly.
Read full article>>

Machine learning predicts intestine disease in babies

A machine-learning tool developed by researchers from New York’s Columbia Engineering and the University of Pittsburgh can predict devastating intestinal disease in premature infants.
Read full article>>

Connected Health Newsletter Archives

August 2020
July 2020
June 2020
May 2020
April 2020
March 2020
February 2020
January 2020
December 2019
November 2019
October 2019
September 2019
August 2019
July 2019
June 2019
May 2019
April 2019
March 2019
February 2019
January 2019
December 2018
November 2018
October 2018
September 2018
August 2018
July 2018
June 2018
May 2018
April 2018
March 2018
February 2018
January 2018
December 2017
November 2017
October 2017
September 2017
August 2017
July 2017
June 2017
May 2017
April 2017
March 2017
February 2017
January 2017
December 2016
November 2016
October 2016
September 2016
August 2016
July 2016
June 2016
May 2016
April 2016
March 2016
February 2016
January 2016
December 2015
November 2015
October 2015
September 2015
August 2015
July 2015
June 2015
May 2015
April 2015
March 2015
February 2015
January 2015