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Transforming Medicine: Evidence-Driven mHealth
2015-09-30 - 2015-10-02    
8:00 am - 5:00 pm
September 30-October 2, 2015Digital Medicine 2015 Save the Date (PDF, 1.23 MB) Download the Scripps CME app to your smart phone and/or tablet for the conference [...]
Health 2.0 9th Annual Fall Conference
2015-10-04 - 2015-10-07    
All Day
October 4th - 7th, 2015 Join us for our 9th Annual Fall Conference, October 4-7th. Set over 3 1/2 days, the 9th Annual Fall Conference will [...]
2nd International Conference on Health Informatics and Technology
2015-10-05    
All Day
OMICS Group is one of leading scientific event organizer, conducting more than 100 Scientific Conferences around the world. It has about 30,000 editorial board members, [...]
MGMA 2015 Annual Conference
2015-10-11 - 2015-10-14    
All Day
In the business of care delivery®, you have to be ready for everything. As a valued member of your organization, you’re the person that others [...]
5th International Conference on Wireless Mobile Communication and Healthcare
2015-10-14 - 2015-10-16    
All Day
5th International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies" The fifth edition of MobiHealth proposes [...]
International Health and Wealth Conference
2015-10-15 - 2015-10-17    
All Day
The International Health and Wealth Conference (IHW) is one of the world's foremost events connecting Health and Wealth: the industries of healthcare, wellness, tourism, real [...]
Events on 2015-09-30
Events on 2015-10-04
Events on 2015-10-05
Events on 2015-10-11
MGMA 2015 Annual Conference
11 Oct 15
Nashville
Events on 2015-10-15
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.