New Partnership Aims to Solve Enterprise Imaging Data Problems
T-Systems North American and Hitachi Vantara announced a collaboration that will bolster managed services to address the increasing volume of enterprise imaging data.
Source: Thinkstock
By - T-Systems North America (TSNA) and Hitachi Vantara recently announced a collaboration to create a new Hitachi Vantara-powered managed service that aims to address the growing volumes of enterprise imaging data healthcare and life sciences organizations face.
Through the partnership with Hitatchi Vantara, T-Systems will leverage their world-class managed service expertise in healthcare with digital management capabilities and data-driven solutions from Hitatchi to specifically target enterprise imaging and other business operational systems, the announcement emphasized.
“Today, we are pleased to announce the extension of our collaboration to address the current and emerging data management and data protection needs to healthcare and life science organizations, including simplified access to DICOM data, with the new Enterprise Imaging Data Protection Solution from T-Systems North America powered by Hitachi Vantara,” Jeff Kenkel, CTO of healthcare and life sciences at Hitachi Vantara said in the announcement.
Healthcare and life science organizations are continuously challenged to store and manage data in increasing sizes and varieties due to the ongoing advancements in medical treatments, imaging, pathology and genomics, and diagnostic and analytics tools.
In addition, the organizations struggle to create their extensive repositories of data, which include multiple images that are available to clinicians at any time across all locations. And they must do it with cost- efficiency and overall patient experience at the forefront.
The new collaboration intends to tackle these challenges. Through the partnership, the vendors will offer two as-a-service offerings - cloud data storage and cloud data republication - that protect clinical, diagnostic and analytics data, the announcement stated. The vendors will also allow consolidated access to digital imaging and communications in medicine (DICOM) and non-DICOM data generated by picture archiving and communication systems (PACS) and image analysis solutions.
The solution is available via a consumption model that allows healthcare and life science organizations to move from capex to opex business models, according to the announcement. They will meet security and compliance requirements and improve overall business agility and cost predictability.
“Increasingly, our customers are embracing the cloud as a means to drive their digital transformation. Together with Hitachi Vantara, we have developed a targeted managed service offering that delivers the specific performance, business agility, availability, and data protection healthcare and life sciences customers to support their efforts to deliver better patient care at lower costs,” Jim Sabogal, head of healthcare and life science, TSNA said in the announcement.
Digital management is getting hard because of the growing volumes of data. The T-Systems and Hitchai collaboration aims to help that, particularly on the medical imaging side.
Digital data, the easy deployment of cloud storage solutions, and the adoption of hybrid data storage solutions are expected to boost the healthcare data storage market by a healthy 14.3 percent compound annual growth rate, reaching $5.4 billion by 2024, according to a report by ResearchAndMarkets.com.
The healthcare data storage market in the rest of the world is also forecasted to see the highest growth rate, but North America will still hold the largest market share.
“Today's move toward collaborative care means more physicians need to have access to these images and image data, like radiology reports,” said IDC Research. “Providers making care management decisions want longitudinal records that provide a 360-degree patient view.”
“This 360-degree view makes it easier for providers to identify, or use decision support tools to help identify, the most effective treatments and care plans for individual patients (or specific populations) derived from the combination and the analysis of structured and unstructured information.”
