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Health IT Summit in San Francisco
2015-03-03 - 2015-03-04    
All Day
iHT2 [eye-h-tee-squared]: 1. an awe-inspiring summit featuring some of the world.s best and brightest. 2. great food for thought that will leave you begging for more. 3. [...]
How to Get Paid for the New Chronic Care Management Code
2015-03-10    
1:00 am - 10:00 am
Under a new chronic care management program authorized by CMS and taking effect in 2015, you can bill for care that you are probably already [...]
The 12th Annual World Health Care  Congress & Exhibition
2015-03-22 - 2015-03-25    
All Day
The 12th Annual World Health Care Congress convenes decision makers from all sectors of health care to catalyze change. In 2015, faculty focus on critical challenges and [...]
ICD-10 Success: How to Get There From Here
2015-03-24    
1:00 pm
Tuesday, March 24, 2015 1:00 PM Eastern / 10:00 AM Pacific Make sure your practice is ready for ICD-10 coding with this complimentary overview of [...]
Customer Analytics & Engagement in Health Insurance
2015-03-25 - 2015-03-26    
All Day
Takeaway business ROI: Drive business value with customer analytics: learn what every business person needs to know about analytics to improve your customer base Debate key customer [...]
How to survive a HIPPA Audit
2015-03-25    
2:00 pm - 3:30 pm
Wednesday, March 25th from 2:00 – 3:30 EST If you were audited for HIPAA compliance tomorrow, would you be prepared? The question is not so hypothetical, [...]
Events on 2015-03-03
Health IT Summit in San Francisco
3 Mar 15
San Francisco
Events on 2015-03-10
Events on 2015-03-22
Events on 2015-03-24
Events on 2015-03-25
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.