Artificial Intelligence
And that's because too many board members don't have the right level of IT and security expertise, a new Black Book study suggests.
SPONSORED
|
08:03 am |
July 19, 2019
|
08:03 am |
July 19, 2019
DataRobot GM of Healthcare Colleen Greene describes how advances in auto-machine learning and predictive analytics are enabling healthcare organizations to be AI-driven.
Researchers are working with digital therapeutics specialist Biofourmis, using machine learning technology and the Apple Watch to analyze dozens of physiology biomarkers.
AI has already moved beyond its status as a novel technology with exciting potential use cases to one that is helping solve real-world challenges and improving patient outcomes, says Todd Schlesinger, VP of business development at Jvion.
Natural language processing-powered software has helped the clinic gain efficiencies, leading to more time with patients, fewer EHR burnout symptoms and the ability to see more patients in a day.
Karley Yoder, senior director of product, Edison AI at GE Healthcare, offers a preview of how the new Edison platform will improve workflow, clinical insight and patient satisfaction.
A multi-year agreement with the machine learning company will start with a tool to identify high-risk GI patients, eventially expanding to other high-burden diseases.
AI can help with recognizing patterns and diagnosis, but physicians still need to use clinical judgment and manage the patient as a person, says Colin Tan, associate professor of ophthalmology at Duke NUS Medical School.
Day Zero Diagnostics’ algorithm, ksim, promises to deliver a faster, more scalable, high-resolution approach for identifying hospital-acquired infection outbreaks, the company said.
Accenture's Kaveh Safavi discusses healthcare's outsized spend on labor – and how machine learning, telehealth and consumerism are transforming how work is done and who does it.