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The Digital Health Revolution

The Digital Health Revolution

From remote monitoring to smart sensors and medical device integration, healthcare IoT has the potential to not only keep patients safe and healthy, but radically transform the way physicians deliver care as well. In fact, the IoT healthcare market is expected to reach $136.8 billion worldwide by 2021. With that in mind, we outlined the 3 key areas of IoT application within healthcare.


Muyinatu Bell Shares Top Recommendations for Implementing Artificial Intelligence & Machine Learning Solutions

Muyinatu Bell Shares Top Recommendations for Implementing Artificial Intelligence & Machine Learning Solutions

In this 2018 keynote speaker spotlight, Muyinatu Bell shares her top recommendations for healthcare innovators implementing artificial intelligence and machine learning solutions. She also shares her thoughts on being selected by MIT Technology Review as one of 35 Innovators Under 35 in 2016, her thoughts on the next generation of healthcare, how intelligent automation technologies helped inspire her to develop innovative biomedical solutions, and what she hopes attendees will learn from her keynote session.

Dr. Bell is an Assistant Professor of Electrical & Computer Engineering with a joint appointment in the Department of Biomedical Engineering at Johns Hopkins University. She directs the Photoacoustic and Ultrasonic Systems Engineering (PULSE) Lab, a highly interdisciplinary research lab that integrates optics, acoustics, robotics, signal processing, and medical-device design to engineer and deploy innovative biomedical imaging systems that simultaneously address unmet clinical needs and significantly improve the standard of patient care. Dr. Bell completed a postdoctoral fellowship with the Engineering Research Center for Computer-Integrated Surgical Systems and Technology at Johns Hopkins University, obtained a PhD in biomedical engineering from Duke University, earned a BS in mechanical engineering (biomedical engineering minor) from the Massachusetts Institute of Technology, and spent a year abroad as a Whitaker International Fellow at the Institute of Cancer Research and Royal Marsden Hospital in the United Kingdom. She was honored by MIT Technology Review as one of 35 Innovators Under 35 in 2016.

5 Use Cases for AI in Healthcare: 5 medical AI use cases that show the future is very much now

5 Use Cases for AI in Healthcare: 5 medical AI use cases that show the future is very much now

AI is becoming increasingly capable of doing what humans can do better than humans can, as in quicker and cheaper. What that means for healthcare is simply staggering. At the top of today’s agenda is how these medical organizations have implemented this technology to benefit their patients. How will this technology change healthcare of the future? Below are ten medical AI use cases that show the future is very much now.

How Aetna Unlocks the Value of RPA

How Aetna Unlocks the Value of RPA

In this podcast, Chris Gilmore, PMP & Application Technology Leader at Aetna highlights how robotics and automation can positively impact multiple systems simultaneously. "Up scaling is a good example. What's nice about the Medicare organization is that Medicare is growing tremendously. One of the challenges they presented to us is that we can't hire people fast enough to do this work. So, by being able to automate it, we can actually slow down the hiring rate."