Every time you visit your doctor for a shot, a routine physical or a broken bone, data is created about you and your health.
It wasn’t too long ago that much of your health information was kept with paper and pen, and if you wanted a copy of your own records, you had to ask your provider’s office to photocopy them. As healthcare providers modernize their systems, they have run into issues concerning data management and data privacy. They also have opened the door for medical advances based on all that data.
Exabytes of information — often sensitive information — are now created and transmitted daily. The COVID-19 pandemic exacerbated this flood of data, challenging public health experts’ ability to effectively and efficiently manage data related to contact tracing, PCR test results, effectiveness and side effects of treatments, symptoms and so much more. They are neck-deep in data coming from a myriad of sources and need management and governance tools to pull them from the waves.
How can these experts better manage and protect data while meeting government mandates to accelerate biomedical research? SAIC has the answer through the Koverse platform and through SAIC TenjinTM, our data science and machine learning platform.
How can we improve healthcare data governance and access?
Koverse, a data management and governance platform, empowers SAIC’s data practitioners to use any data available — regardless of location or complexity — without compromising privacy. This fuels SAIC Tenjin to rapidly deploy operational artificial intelligence (AI) solutions to mine the data for insights that inform care as well as medical breakthroughs.
Koverse is unlike any other data management tool because of a few things, with the biggest being how it secures data so that users can access what they need without being able to see what they have no right or need to see. It collects data from all levels of privacy access and makes the most data available to the most people. Koverse provides the security, speed and scale healthcare researchers and policymakers need to define and verify access-control policies, rapidly search data indexes and bulk-process data inputs.