Goto

Collaborating Authors

Putting AI to Work in Healthcare: Turning Data into Action

#artificialintelligence

With RPM, vital signs and other health data are passively collected from the patient and sent to the cloud where AI models can alert appropriate healthcare professionals if the person starts to become unwell. This ability to manage throughput--to separate the signal from the noise--is the power of AI. It lets healthcare professionals focus on the patients who need their attention the most, and it helps those who don't need healthcare attention feel safer and more secure at home. Many patients simply require the reassurance that everything is OK and is going to be OK.


These VCs nailed their 2017 health-care predictions. Here's what they see for 2018.

#artificialintelligence

For what is now an annual tradition, we are once again attempting to be healthcare soothsayers. We are proud to share with you our 10 healthcare predictions for 2018. But first, we look back on our 2017 predictions.


Why Healthcare IoT Is on the Rise [#Infographic]

#artificialintelligence

The Internet of Healthcare Things is coming -- and for all intents and purposes, it's already here. According to a new report by Aruba Networks, by next year, 87 percent of healthcare organizations will have adopted IoT. Moreover, more than three-quarters of these organizations believe the technology will completely transform the healthcare industry. As IoT is injected into everything from X-ray machines to patient monitors and hospital meters, networking demands will change and providers will need to revamp cybersecurity to address an increasingly connected threat landscape. But alongside these infrastructure needs will come several benefits and an increased return on investment for care organizations that choose to embrace a connected future.


Healthcare ebook landing page

@machinelearnbot

The healthcare industry is currently suffering from a host of issues. Knowledge sharing between hospitals, determination of patient adherence to medications, and the efficient management of surgical procedures are just three topics in a long list of areas that need improvement. All of these issues have the same thing in common: the healthcare industry has a data problem.


Transforming healthcare with AI: The impact on the workforce and organizations

#artificialintelligence

Healthcare is one of the major success stories of our times. Medical science has improved rapidly, raising life expectancy around the world, but as longevity increases, healthcare systems face growing demand for their services, rising costs and a workforce that is struggling to meet the needs of its patients. Demand is driven by a combination of unstoppable forces: population aging, changing patient expectations, a shift in lifestyle choices, and the never-ending cycle of innovation being but a few. By 2050, one in four people in Europe and North America will be over the age of 65--this means the health systems will have to deal with more patients with complex needs. Managing such patients is expensive and requires systems to shift from an episodic care-based philosophy to one that is much more proactive and focused on long-term care management.