Concerns about cybersecurity have grown since US patient health data went digital in 2014, but ransomware attacks present a whole new category of threat. … Read More

The consumer wearables market slumped in 2016, leading to dramatic end-of-year headlines like Wearables are dead. But with 2017 well under way we’re seeing some interesting trends and new devices in the world of wearables. … Read More

In the United States, mHealth was made possible by the widespread adoption of cellphones and smartphones. As more people around the world start to use cellphones, what are the possibilities for mHealth in developing countries? … Read More

What are your priorities for clinical information technology this year? … Read More

So you decided to run more this summer and you’re looking for a good mHealth app. You probably check star ratings and reviews and decide whether to spend $4.99 on Runtastic PRO or just go with the FITNESS22 Running Distance … Read More … Read More

With foundational patient engagement strategies like patient portals and secure email firmly in place, health care organizations are exploring more creative ways to get patients involved in their care. Dubbed Patient Engagement 2.0, these strategies include patient-generated data, social networks, wearable devices … Read More … Read More

As mHealth continues to grow, there appears to be no end to the number of apps that facilitate delivery of healthcare services via smartphones and tablets. But with 259,000 mHealth apps currently available on major app stores, it can be … Read More … Read More

In May 2016, the White House launched the National Microbiome Initiative (NMI) with a combined Federal agency investment of more than $121 million in the upcoming Fiscal year. Nine months later, scientists and universities have responded to that investment by … Read More … Read More

Big data has been showing up a lot in healthcare headlines this year, whether announcing a new application for machine intelligence or a healthcare provider enrolling thousands of patients in a precision medicine initiative. But what impact is all this … Read More … Read More

A team of Google researchers recently developed a deep learning algorithm that can detect diabetic retinopathy with better than 90 percent accuracy. The project is part of a wider effort to detect diseases and illness using machine intelligence, exemplifying the … Read More … Read More