Events Calendar

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12:00 AM - TEDMED 2017
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TEDMED 2017
2017-11-01 - 2017-11-03    
All Day
A healthy society is everyone’s business. That’s why TEDMED speakers are thought leaders and accomplished individuals from every sector of society, both inside and outside [...]
AMIA 2017 Annual Symposium
2017-11-04 - 2017-11-08    
All Day
Call for Participation We invite you to contribute your best work for presentation at the AMIA Annual Symposium – the foremost symposium for the science [...]
Beverly Hills Health IT Summit
2017-11-09 - 2017-11-10    
All Day
About Health IT Summits U.S. healthcare is at an inflection point right now, as policy mandates and internal healthcare system reform begin to take hold, [...]
Forbes Healthcare Summit
2017-11-29 - 2017-11-30    
All Day
ForbesLive leverages unique access to the world’s most influential leaders, policy-makers, entrepreneurs, and artists—uniting these global forces to harness their collective knowledge, address today’s critical [...]
Events on 2017-11-01
TEDMED 2017
1 Nov 17
La Quinta
Events on 2017-11-04
AMIA 2017 Annual Symposium
4 Nov 17
WASHINGTON
Events on 2017-11-09
Beverly Hills Health IT Summit
9 Nov 17
Los Angeles
Events on 2017-11-29
Forbes Healthcare Summit
29 Nov 17
New York
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.