Events Calendar

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San Jose Health IT Summit
2017-04-13 - 2017-04-14    
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, [...]
Annual IHI Summit
2017-04-20 - 2017-04-22    
All Day
The Office Practice & Community Improvement Conference ​​​​​​The 18th Annual Summit on Improving Patient Care in the Office Practice and the Community taking place April 20–22, 2017, in Orlando, FL, brings together 1,000 health improvers from around the globe, in [...]
Stanford Medicine X | ED
2017-04-22 - 2017-04-23    
All Day
Stanford Medicine X | ED is a conference on the future of medical education at the intersections of people, technology and design. As an Everyone [...]
2017 Health Datapalooza
2017-04-27 - 2017-04-28    
All Day
Health Datapalooza brings together a diverse audience of over 1,600 people from the public and private sectors to learn how health and health care can [...]
The 14th Annual World Health Care Congress
2017-04-30 - 2017-05-03    
All Day
The 14th Annual World Health Care Congress April 30 - May 3, 2017 • Washington, DC • The Marriott Wardman Park Hotel Connecting and Preparing [...]
Events on 2017-04-13
San Jose Health IT Summit
13 Apr 17
San Jose
Events on 2017-04-20
Annual IHI Summit
20 Apr 17
Orlando
Events on 2017-04-22
Events on 2017-04-27
2017 Health Datapalooza
27 Apr 17
Washington, D.C
Events on 2017-04-30
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.