At RSNA – Meet The Future of Peer Learning
A New Way to Deliver Better Results for Radiology
Using Artificial Intelligence
What if you could better compete with free standing imaging centers and improve patient care across multiple medical disciplines while also generating higher revenue? And what if you could do this while your radiologists practiced at the top of their game?
Now you can.
Real Time Medical has created a novel platform called AICloudQA™ that both reduces variability and increases throughput across radiology sites, while improving quality and safety.
Leveraging the Google Cloud Infrastructure, AICloudQA™ offers advanced, anonymized peer learning and AI assisted knowledge improvement for radiologists. This highly secure, expandable healthcare quality assurance system integrates Google’s Cloud Platform, Client Outlook’s eUnity viewer and Real Time Medical’s intelligent peer learning solution.
In addition, you can access our advanced workload balancing platform to increase group diagnostic efficiency by 15% - 35% so you can achieve greater outputs and revenue with our corresponding Google Cloud offering AICloudWorks™.
To learn more on what is possible with AICloudQA™ and AICloudWorks™, come visit with us at Google’s booth #7161 in the North Hall at RSNA 2018, or book a private meeting with a Real Time Medical executive at meeting room MS 316.
To set-up a 20-minute meeting please click on the following:
Demos at the Google Booth
Our demo times at Google Booth 7161 in the North Hall are as follows (all times are local Chicago Time):
1:00 – 1:20 pm
3:15 – 5:00 pm
10:00 – 11:45 am
2:00 – 2:20pm
11:00 – 11:20 am
Demo Station 3
Demo Station 4