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The International Meeting for Simulation in Healthcare
2015-01-10 - 2015-01-14    
All Day
Registration is Open! Please join us on January 10-14, 2015 for our fifteenth annual IMSH at the Ernest N. Morial Convention Center in New Orleans, Louisiana. Over [...]
Finding Time for HIPAA Amid Deafening Administrative Noise
2015-01-14    
1:00 pm - 3:00 pm
January 14, 2015, Web Conference 12pm CST | 1pm EST | 11am MT | 10am PST | 9am AKST | 8am HAST Main points covered: [...]
Meaningful Use  Attestation, Audits and Appeals - A Legal Perspective
2015-01-15    
2:00 pm - 3:30 pm
Join Jim Tate, HITECH Answers  and attorney Matt R. Fisher for our first webinar event in the New Year.   Target audience for this webinar: [...]
iHT2 Health IT Summit
2015-01-20 - 2015-01-21    
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. [...]
Chronic Care Management: How to Get Paid
2015-01-22    
1:00 pm - 2:00 pm
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 [...]
Proper Management of Medicare/Medicaid Overpayments to Limit Risk of False Claims
2015-01-28    
1:00 pm - 3:00 pm
January 28, 2015 Web Conference 12pm CST | 1pm EST | 11am MT | 10am PST | 9AM AKST | 8AM HAST Topics Covered: Identify [...]
Events on 2015-01-10
Events on 2015-01-20
iHT2 Health IT Summit
20 Jan 15
San Diego
Events on 2015-01-22
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.