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Rapidly Extract Medical Insight with Remote Visualization


Time is everything in the digital age, but in life sciences, time saved means protecting and improving people’s lives.

The world is rapidly becoming a more intelligent, data-driven place, and technological advancements are making it possible for scientists, developers, and engineers to accomplish more, faster. Yet medical datasets are often too large and compute-intensive for traditional IT structures to handle. These continuous streams of information require massive amounts of bandwidth and memory to be effectively processed, stored, and transferred. With increasingly complex data workloads and demands for timely and quality care, health organizations are striving to adopt a new style of IT that not only reduces operating costs, but also optimizes the treatment process, accelerates R&D, and increases productivity across the board.

Doctor Examining MRI - HPE - Rapidly Extract Medical Insight with Remote Visualization  - Small .jpgNew technology allows doctors to make better and faster decisions

Thanks to ongoing innovation in high-performance computing (HPC), life sciences professionals have the opportunity to efficiently monitor and treat patients, collaborate on research projects, and visualize troves of complex medical data, from a number of remote locations.

To power today’s progressively disparate workforce, health organizations must invest in technologies that deliver enhanced connectivity and real-time data access on a variety of machines and personal devices. Those who do will have the opportunity to harness the latest modeling and simulation capabilities, thereby advancing treatments and medical discoveries, conserving valuable resources, and improving patient outcomes.

Remote visualization is the key to unlocking the next generation of medical care. The life sciences industry is leveraging remote visualization technologies to deliver real-time access to critical data and programs locally. Sophisticated 3D applications on the server side allow employees to visualize the data from their remote desktops, utilizing the bandwidth and compute power of a robust server platform while keeping information safe and secure in the datacenter.

Backed by HPC solutions, remote visualization harnesses the rich visual content of GPUs to enhance the utility of medical data and provide a superior user experience. Doctors and researchers can now visualize, modify, and study 3D models in real-time to increase the speed and accuracy of diagnoses, regardless of technical expertise. These technologies deliver end-to-end visibility into physical, virtual, and cloud environments – from virtualized systems to workstations, medical devices, and handhelds.

Additional benefits include:

  • Optimized operating costs
  • Scalability without performance limitations
  • Less technology to adopt and deploy
  • Reduced energy costs
  • Greater insights for care delivery and innovation
  • Compliance with security and privacy regulations

According to Scientific American, data visualization is a vastly underused tool: “For the same reason that scientists plot their quantitative results rather than just viewing them on a table, it seems self-evident that visualizing data is better than simply listing numbers and percentages. And in the case of particularly anxiety-inducing risks, it can be helpful to visualize a value like 0.2 percent as a simple way to establish just how small it is relative to the odds of a positive outcome.

Life sciences organizations are turning to comprehensive HPC solutions in order to deliver the best possible patient care and clinical outcomes. Remote visualization technologies are purpose-built to deliver essential medical insights, making 3D modeling and simulation no longer a convenience, but a requirement for success.

To learn more about how remote visualization solutions are enabling breakthroughs in life sciences, I invite you to follow me on Twitter at @Bill_Mannel.

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About the Author


As the Vice President and General Manager of HPC and AI Segment Solutions in the Data Center Infrastructure Group, I lead worldwide business and portfolio strategy and execution for the fastest growing market segments in HPE’s Data Center Infrastructure Group which includes the recent SGI acquisition and the HPE Apollo portfolio.