Events Calendar

Mon
Tue
Wed
Thu
Fri
Sat
Sun
M
T
W
T
F
S
S
27
28
29
30
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
23
24
26
27
28
29
31
Biosensors and Bioelectronics 2021
2021-10-22 - 2021-10-23    
All Day
Biosensors and Bioelectronics 2021 conference explores new advances and recent updated technologies. It is your high eminence that you enhance your research work in this [...]
Petrochemistry and Chemical Engineering
2021-10-25 - 2021-10-26    
All Day
Petro chemistry 2021 directs towards addressing main issues as well as future strategies of global energy industry. This is going to be the largest and [...]
Cardiac Surgery and Medical Devices
2021-10-30 - 2021-10-31    
All Day
The main focus and theme of the conference is “Reconnoitring Challenges Concerning Prediction & Prevention of Heart Diseases”. CARDIAC SURGERY 2020 strives to bring renowned [...]
Events on 2021-10-22
Events on 2021-10-25
Events on 2021-10-30
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.