Events Calendar

Mon
Tue
Wed
Thu
Fri
Sat
Sun
M
T
W
T
F
S
S
27
28
29
30
31
1
2
3
4
5
6
7
8
9
10
11
13
14
15
17
19
20
21
22
23
24
25
26
27
28
29
30
31
1
2
3
4
5
6
Medical Philippines 2020
2020-08-12 - 2020-08-14    
All Day
ABOUT MEDICAL PHILIPPINES 2020 The Philippines would once again be hosting The 5th Edition of Medical Exhibition featuring 3 events namely: Medical Philippines 2020, Dental [...]
Agriculture & Horticulture
2020-08-16 - 2020-12-17    
All Day
Agriculture Conference invites a common platform for Deans, Directors, Professors, Students, Research scholars and other participants including CEO, Consultant, Head of Management, Economist, Project Manager [...]
18 Aug
2020-08-18 - 2020-08-19    
9:00 am - 1:30 pm
The definitive event for senior claims executives It has never been more important for insurers to make claims the focal point of innovation, agility and [...]
Events on 2020-08-12
Medical Philippines 2020
12 Aug 20
Seashell Ln,
Events on 2020-08-16
Events on 2020-08-18
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.