by Brian Edwards | July 11, 2018
NLP technologies have reached an inflection point with the emergence of advanced deep machine learning methods that are on-par with humans for an ever-increasing list of core natural language skills, such as speech recognition and responding to questions. NLP is particularly well suited to address two huge problems in healthcare – easing the clinical documentation burden for clinicians and unlocking insights from unstructured data in EHRs – but there are powerful new use cases also emerging.
by Jody Ranck | April 19, 2018
Key Takeaways: Blockchain can be useful in healthcare in contexts where there is dependency between transactions and an asset, such […]
by Brian Eastwood | July 13, 2015
It’s not every day that health-related news from Google gets buried, but recent headlines about the Supreme Court upholding a […]
by Brian Murphy | February 04, 2015
Accelerate the Industry Forward Technology companies often open up their products to create an ecosystem for third party developers. This […]
by Naveen Rao | July 28, 2014
Challenges & Opportunity In an otherwise slow summer, health IT got caught up in a whirl of excitement last month […]
by John Moore | January 06, 2009
Last week the Washington Post published an article on the fervor surrounding the iPhone and the slew of independent developers […]
by John Moore | March 13, 2008
Matt Holt, owner and master of The Health Care Blog, has an excellent post today on PHRs and privacy. It […]
by John Moore | March 06, 2008
Here is the full Google presentation given by CEO Schmidt to a full house at last week’s HIMSS conference. You […]
