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“The” international event in Healthcare Social Media, Mobile Apps, & Web 2.0
2015-06-04 - 2015-06-05    
All Day
What is Doctors 2.0™ & You? The fifth edition of the must-attend annual healthcare social media conference will take place in Paris;  it is the [...]
5th International Conference and Exhibition on Occupational Health & Safety
2015-06-06 - 2015-07-07    
All Day
Occupational Health 2016 welcomes attendees, presenters, and exhibitors from all over the world to Toronto, Canada. We are delighted to invite you all to attend [...]
National Healthcare Innovation Summit 2015
2015-06-15 - 2015-06-17    
All Day
The Leading Forum on Fast-Tracking Transformation to Achieve the Triple Aim Innovative leaders from across the health sector shared proven and real-world approaches, first-hand experiences [...]
Health IT Summit in Washington, DC
2015-06-16 - 2015-06-17    
All Day
The 2014 iHT2 Health IT Summit in Washington DC will bring together over 200 C-level, physician, practice management and IT decision-makers from North America's leading provider organizations and [...]
Events on 2015-06-15
Events on 2015-06-16
Health IT Summit in Washington, DC
16 Jun 15
Washington DC
Articles News

Hospitals are now aware of the development process for several health AI technologies. Will anything change as a result?

EMR Industry

A new federal regulation mandates that certain health AI makers reveal information about bias, testing, and other topics.

They know what the ones and zeroes buzzing away in the background are up to, don’t they? Clinicians click away at workstations in hospitals.

In actuality, physicians and health systems frequently lack critical knowledge about the algorithms they use for tasks like anticipating the start of serious illnesses. Federal regulators now mandate that electronic health record (EHR) businesses provide clients with a wide range of information regarding artificial intelligence tools in their software, which proponents say is a positive start.

Clinicians should have been able to see a model card, often known as a “nutrition label,” since the beginning of January. This label should include information on the variables that go into a prediction, whether a tool has been evaluated in the real world, how the tool’s authors addressed potential bias, cautions about improper use, and more.