Events Calendar

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12:00 AM - 29th ECCMID
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29th ECCMID
2019-04-13 - 2019-04-16    
All Day
Welcome to ECCMID 2019! We invite you to the 29th European Congress of Clinical Microbiology & Infectious Diseases, which will take place in Amsterdam, Netherlands, [...]
4th International Conference on  General Practice & Primary Care
2019-04-15 - 2019-04-16    
All Day
The 4th International Conference on General Practice & Primary Care going to be held at April 15-16, 2019 Berlin, Germany. Designation Statement The theme of [...]
Digital Health Conference 2019
2019-04-24 - 2019-04-25    
12:00 am
An Innovative Bridging for Modern Healthcare About Hosting Organization: conference series llc ltd |Conference Series llc ltd Houston USA| April 24-25,2019 Conference series llc ltd, [...]
International Conference on  Digital Health
2019-04-24 - 2019-04-25    
All Day
Details of Digital Health 2019 conference in USA : Conference Name                              [...]
16th Annual World Health Care Congress -WHCC19
2019-04-28 - 2019-05-01    
All Day
16th Annual World Health Care Congress will be organized during April 28 - May 1, 2019 at Washington, DC Who Attends Hospitals, Health Systems, & [...]
Events on 2019-04-13
29th ECCMID
13 Apr 19
Amsterdam
Events on 2019-04-24
Events on 2019-04-28
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.