Enterprise Imaging experts will share advice in a Radiology Business webinar Aug. 13, exploring how they’re tackling the task of migrating over 1.6M imaging files after a large-scale acquisition.
 

These findings could have positive implications for regions with diverse patient populations, authors of a new analysis suggest.

The incident happened in January of this year, with attackers gaining access to the practice’s systems for five days before they were shut out. 

We all know that imaging data is growing at an unprecedented pace with AI accelerating the curve. For healthcare organizations, this means more pressures on storage, infrastructure, performance and long-term planning. Our panel of imaging leaders will introduce a new model that rethinks how imaging data is stored and accessed, with the goal of supporting both innovation and cost predictability. 

New findings highlight the  “remarkable potential” of these artificial intelligence tools in improving radiology workflows.  

The Department of Veterans Affairs said the new funding was made possible by its cost-saving measures, including a reduction of 30,000 staff and the consolidation of call centers.

The solution was developed to be adaptable within the EHR, enabling improved communication of incidental findings beyond just pulmonary nodules to include other high-risk findings. 

Radiology Associates of Richmond, Virginia, first discovered the breach in May following an extensive forensic investigation.