Events Calendar

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02 Apr
2014-04-02    
All Day
Conference Link: http://www.nhlc-cnls.ca/default1.asp Conference Contact: Cindy MacBride at 1-800-363-9056 ext. 213, or cmacbride@cchl-ccls.ca Register: http://www.confmanager.com/main.cfm?cid=2725 Hotel: Location: Fairmont Banff Springs Hotel 405 Spray Ave Banff, [...]
HIMSS 15 Annual Conference & Exhibition
2014-04-12    
All Day
HIMSS15 may be months away, but the excitement is here...right now. It's not too early to start making plans for next April. Whether you're new [...]
2015 HIMSS Annual Conference & Exhibition
2014-04-12 - 2014-04-16    
All Day
The 2015 HIMSS Annual Conference & Exhibition, April 12-16 in Chicago, brings together 38,000+ healthcare IT professionals, clinicians, executives and vendors from around the world. [...]
IVC Miami Conference
The International Vein Congress is the premier professional meeting for vein specialists. IVC, based in Miami, FL, offers renowned, comprehensive education for both veterans and [...]
C.D. Howe Institute Roundtable Luncheon
2014-04-28    
12:00 pm - 1:30 pm
Navigating the Healthcare System: The Patient’s Perspective Please join us for this Roundtable Luncheon at the C.D. Howe Institute with Richard Alvarez, Chief Executive Officer, [...]
Events on 2014-04-02
Events on 2014-04-12
Events on 2014-04-24
IVC Miami Conference
24 Apr 14
FL
Events on 2014-04-28
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.