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Boston Children's Hospital quickens medical image processing in RedHat and MOC collab

by John R. Fischer, Senior Reporter | May 21, 2018
Health IT

In addition, ChRIS offers Red Hat Ceph Storage, an open, scalable storage solution for modern workloads to quicken and scale-up MOC’s redundant cloud storage.

The solution will be deployed on the Red Hat OpenStack Platform with app containers prepackaged with all of the required libraries, enabling quick app installations in an orchestrated manner within the platform. Coding assistance and guidance in the development of ChRIS will be provided by RedHat.

Grant says once a fully developed business model for supporting end users is in place, ChRIS will be expanded throughout the Boston area and eventually to institutions across the country and abroad, with skills to aid their own end-users and further enhance the platform’s performance.

“Nationally, we have extensive connections to several institutions and groups that are natural early partners, including Texas Children's and Cincinnati Children's,” she said. “After a positive reception at Red Hat summit, our team has been approached by interested parties in Canada, the U.K., Japan, and Australia that may be great targets for early international partnerships. As we raise the revenue to support them, we hope to include institutions in developing countries such as Malaysia, China, and South Africa, for which ChRIS will address critical limitations in regional resources.”

She further notes that such extensions could lead to the establishment of “cross-institutional sharing of data in the cloud,” enabling many possible scenarios for enhancing diagnosis and treatment commencements.

“This breaking of silos will further enable much broader information to be incorporated into clinical care. We can envision a future, for example, where we have a large, secure repository of medical data and can then submit a patient's images and electronic health care record to rapidly search for similar patients, discovering which approach is the most successful. Such a scenario is only one of many that would increase the speed of diagnosis and initiation of the best treatment.”

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