Intelerad is now a GE HealthCare company. Learn more about this partnership.
Our technology spans the patient journey to streamline processes and connect physicians, no matter where they are.
Intelerad has introduced Cloud DR, a cloud-native disaster recovery solution that provides secure, scalable, and immutable storage for medical imaging data—helping healthcare organizations protect against breaches, disasters, and downtime.
Cloud DR is a disaster recovery solution designed for healthcare imaging. It creates secure, isolated, and immutable copies of medical images with unlimited capacity, ensuring data protection against natural disasters, human error, technological failures, and cybersecurity threats.
Healthcare faces rising cybersecurity risks. According to Sophos’ 2021 State of Ransomware Report, 34% of healthcare organizations were hit by ransomware, with attackers encrypting files in 65% of cases. Additionally, Healthcare Dive reported 40 million patient records compromised in 2021.
Cloud DR offers:
This ensures peace of mind for hospitals, health systems, and radiology groups.
At RSNA 2021, Intelerad showcased Cloud DR as part of its commitment to supporting clients through cloud adoption. CEO Mike Lipps emphasized:
Explore details and benefits at:
Enterprise image exchange enables healthcare organizations to securely share and access medical images across systems, facilities, and networks. Learn how enterprise image exchange platforms support interoperability, secure image sharing, and scalable imaging workflows across healthcare organizations.
Image sharing in radiology still falls short because most systems are designed to move files, not deliver images within clinical workflows at the moment they’re needed. This blog explores why image sharing feels broken, what’s changing in radiology image access, and how time-to-image is becoming a more meaningful way to evaluate performance.
Radiology workflows often break down due to disconnected systems, manual processes, and inconsistent data across case selection, prior access, reporting, and communication. These challenges can interrupt reading flow, delay diagnosis, and create inefficiencies across the entire imaging process.
