Examples Medical Technology mHealth 
Health Populi
JULY 16, 2019
In my own vision of the retail home health/care ecosystem, these five categories can blur and combinations can serve the consumer’s health at home and on-the-move (for truly mobile health, not just “mHealth” via phone apps).
Health Populi
OCTOBER 6, 2021
Here’s a recent example of health and wellness embedded in a connected car from Hyundai, one of many auto manufacturers re-imagining health as a benefit of driving in a car. That post was written in tandem of CES 2017 when I did a deep dive into the potential for autos to bolster wellness and promote safety and hygiene (well pre-COVID).
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Health Populi
JUNE 10, 2019
Get to Know Me is the use of technology to develop and deepen relationships with people. As an example of this trend, Accenture points to Mindstrong which leverages AI and machine learning to divine digital phenotypes of consumers-patients that inform mental health support. ” This is the subtext and subtitle of Dr.
LinkousThink
AUGUST 7, 2011
For example, Epocrates, an online and mhealth drug interaction application is used by 1.3 For example, to reduce time to catheterization , EKGs are transmitted from the ambulance to cardiologist’s cell phones at the George Washington University Hospital prior to arrival at the emergency room.
Waracle
JULY 1, 2019
Today, it’s emerging technologies that are the powerhouse driving healthcare’s advancements and patient-centered care, supporting ease of access and affordability, and vastly improving the quality of life in ways previously only dreamed of. We’re a long, long way from that pager now. Artificial Intelligence.
Waracle
JULY 1, 2019
Today, it’s emerging technologies that are the powerhouse driving healthcare’s advancements and patient-centred care, supporting ease of access and affordability, and vastly improving the quality of life in ways previously only dreamed of. We’re a long, long way from that pager now. Artificial Intelligence.
Henry Kotula
FEBRUARY 22, 2019
For example, major insurance bodies are already using digital health services to communicate with patients,” he says. For example, Google is already at work to use machine learning for predicting patients’ deaths, and the results boast a flattering figure of 95% accuracy, which is better than hospitals’ in-house warning systems,” says Behera.
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