Renowned smartphone manufacturer and software company, BlackBerry is venturing into the fields of security, computing, and data science. The software company is creating a blockchain-based “ultra secure” platform focused on the healthcare industry and its services.
Furthermore, the company made the announcement through a Press Release, made public on October 4. According to the press release, the software company is collaborating with a biotech incubator and technology firm ONEBIO. Furthermore, the company will make use of its “carrier-grade network operation center” (NOC) to create this platform.
About the Platform
The platform will use blockchain as its base, powered by BlackBerry’s proprietary NOC. Furthermore, the platform will focus on the healthcare industry and services. The platform will be securely storing and easily sharing the medical data obtained from numerous patients.
“We are applying our expertise in security, data privacy, and communication work in regulated industries such as automotive, financial services, and government to tackle one of the biggest challenges in the healthcare industry: leveraging healthcare endpoints to improve patient outcomes while ensuring security and data privacy.”
BlackBerry’s NOC will help in creating this highly secure “global ecosystem”. Furthermore, the data sources would be the patients, and the data coming from Internet-of-Things (IoT) devices plugged to those patients. The data would be anonymized and shared with researchers to further find diseases and learn from the data.
Global Commission to End the Diagnostic Odyssey for Children with a Rare Disease, will be its first user and client. The organization helps diagnose rare diseases in children to help cure it quickly.
The press release stated this. “Co-chaired by Shire, the leading global biotech focused on rare diseases, one of the Global Commission’s technologies pilots will explore how BlackBerry’s new solution might provide real-time, actionable analysis as the Commission seeks to use technology to shorten the time to diagnosis.”
