Events Calendar

Mon
Tue
Wed
Thu
Fri
Sat
Sun
M
T
W
T
F
S
S
26
27
28
29
30
31
1
3
4
5
6
7
8
9
10
11
13
14
15
16
18
19
21
22
23
24
25
26
27
28
29
30
1
2
3
4
5
6
2014 National Health Leadership Conference
2014-06-02    
All Day
WELCOME! This conference is the largest national gathering of health system decision-makers in Canada including trustees, chief executive officers, directors, managers, department heads and other [...]
EMR : Every Step Conference and Vendor Showcase
2014-06-12    
8:00 am - 6:00 pm
OntarioMD is pleased to invite you to join us for the EMR: Every Step Conference and Vendor Showcase, an interactive day to learn and participate in [...]
GOVERNMENT HEALTH IT Conference & Exhibition
Why Attend? As budgets tighten, workforces shrink, ICD-10 looms, more consumers enter the healthcare system and you still struggle with meaningful use — challenges remain [...]
MD Logic EHR User Conference 2014
2014-06-20    
All Day
Who Should Attend: Doctors, PA’s, NP’s, PT’s, Administrators,Managers, Clinical Staff, IT Staff What is the Focus of the Conference: Meaningful Use Stage II, ICD-10 and [...]
Events on 2014-06-02
Events on 2014-06-12
Events on 2014-06-17
Events on 2014-06-20
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.