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2015 HIMSS Annual Conference & Exhibition
2015-04-12 - 2015-04-16    
All Day
General Conference Information The 2015 HIMSS Annual Conference & Exhibition, April 12-16 in Chicago, brings together 38,000+ healthcare IT professionals, clinicians, executives and vendors from [...]
2015 CONVENTION - THE MEDICAL PROFESSION: TIME FOR A NEW SOCIAL CONTRACT
The 17th QMA's convention will be held April 16-18, 2015. The Québec Medical Association (QMA) invites you to share your opinion on the theme La profession médicale : vers un nouveau [...]
HCCA's 19th Annual Compliance Institute
2015-04-19 - 2015-04-22    
All Day
April 19-22, 2015 Lake Buena Vista, FL Early Bird Rates end January 7th The Annual Compliance Institute is HCCA’s largest event. Over the course of [...]
AAOE Annual Conference 2015
2015-04-25 - 2015-04-28    
All Day
AAOE Annual Conference 2015 The AAOE is the only professional association strictly dedicated to orthopaedic practice management. Currently, our membership has over 1,300 members in [...]
63rd ACOG ANNUAL MEETING - Annual Clinical and Scientific Meeting
2015-05-02 - 2015-05-06    
All Day
The 2015 Annual Meeting: Something for Every Ob-Gyn The New Year is a time for change! ACOG’s 2015 Annual Clinical and Scientific Meeting, May 2–6, [...]
Events on 2015-04-12
Events on 2015-04-19
Events on 2015-04-25
AAOE Annual Conference 2015
25 Apr 15
Chicago, IL 60605
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.