Dave Muoio

Medical students studying.
By Dave Muoio 05:56 pm June 11, 2020
Across a number of different specialties, students – and even practitioners – can put practical technology skills to use and gain an emphasis on collaboration for the rest of their careers.  
By Dave Muoio 02:52 pm June 02, 2020
A recent sample of 50 worldwide COVID-19 apps published in Nature Medicine highlights found only 16 that promisted to anonymize, encrypt and secure the data they collect.  
People being served food from a buffet.
By Dave Muoio 04:29 pm May 27, 2020
Executives from SDOH technology platforms say they anticipate more public-healthcare funding to support social services infrastructure in the coming years.  
Doctor and child in Africa
By Dave Muoio 10:21 am May 22, 2020
Two recent programs deploying telemedicine in Zimbabwe and Ghana highlight common hurdles programs that deliver these technologies to underserved areas will likely encounter.  
By Dave Muoio 11:41 am May 21, 2020
Opt-in "Exposure Notifications" are included in new operating system updates on both companies' platforms and available now to worldwide public health agencies.  
latticed sculpture
By Dave Muoio 05:50 pm May 14, 2020
AI still needs to prove itself to the clinical community, but there are some aspects of care in which an algorithm will never be granted full control, said Cardiologs CEO Yann Fleureau.
Livongo Hypertension
By Dave Muoio 05:37 pm May 07, 2020
"Remote monitoring is here to stay," CEO Zane Burke said during yesterday's earnings call.  
OnPatient Virtual Visit
By Dave Muoio 04:00 pm May 04, 2020
The integrated app allows providers using DrChrono's platform to schedule and launch video visits from within their calendar, while next month's tool helps patients search for and receive virtual care.  
By Dave Muoio 05:40 pm April 29, 2020
Stony Brook University experts describe key design points for a successful in-home senior-health-monitoring system, and their efforts to develop such a tool.  
By Dave Muoio 04:14 pm April 27, 2020
A new study suggests that a deep learning system would save on the roughly two minutes of human labor required to grade each case, although a semi-automated approach was found to drive the greatest savings for large programs.

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