Accelerating Healthcare Research with Leidos and Azure Confidential Computing
Sharing and aggregating real-world patient data and evidence is crucial to driving better healthcare outcomes. How does Leidos do it? In this video, the science, engineering and technology organization shares its experience using Microsoft Azure to achieve its desired outcomes while ensuring patient privacy and the security of medical records. Watch the video to see how Leidos uses Microsoft Azure confidential computing and Intel Software Guard Extensions to accelerate clinical trials and gain new insights.
What is Leidos' focus in healthcare?
Leidos is a science, engineering, and technology organization dedicated to tackling some of the most pressing challenges in healthcare. Their efforts are centered around improving healthcare outcomes by sharing and aggregating real-world patient data and evidence.
How does Leidos ensure patient privacy?
Leidos employs Microsoft Azure confidential computing, utilizing Intel Software Guard Extensions, to ensure that patient privacy is upheld while securely managing medical records. This approach allows for the acceleration of clinical trials and the generation of new insights without compromising patient confidentiality.
What are the benefits of using Azure confidential computing?
By using Azure confidential computing, Leidos is able to enhance the speed of clinical trials and derive insights that contribute to improved patient outcomes. This technology not only addresses privacy concerns but also facilitates the effective use of real-world patient data.
Accelerating Healthcare Research with Leidos and Azure Confidential Computing
published by IT Blackbox
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