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Optimizing Data Movement Throughout the Healthcare Chain to Make a Run for Better Outcomes

Datavant, the leading health data logistics company, has officially announced the launch of Datavant Connect, which is a platform dedicated towards helping customers tokenize and transform their data within the Data Cloud so to accelerate data processing, and at the same time, protect patient privacy. Before we dig any further into this development, we must acknowledge that, even though data has an important role in enabling healthcare and life sciences customers to make effective decisions, it remains a challenge to source the same from different locations. This is because of factors like fragmentation, data movement, limited control over data use, and the need to protect patient privacy. Luckily, Datavant’s latest brainchild solves that problem. But how does it achieve such a goal? Well, according to certain reports, Datavant Connect works by helping joint customers power a variety of workflows related to connected data, including understanding adverse events from clinical trials, assessing the feasibility of real-world data for purchase, developing a longitudinal view of the patient journey, and more. Talk about the whole value proposition on a slightly deeper level, though, we must begin from the promise of tokenization at the source. By bringing tokenization to where the data is originally situated, the solution can be expected to offer the most performant, secure, and scalable solution. Next up, we must get into how the platform will try and realize significantly faster implementation, thus empowering customers to reduce timelines in the context of deriving valuable insights. Moving on, Datavant Connect also arrives on the scene as well-equipped to unlock the power of Snowflake data cloud. As a native Snowflake app, the stated platform can connect users on Snowflake Marketplace to make data interoperable and connectable for enhancing the value of insights in play.

“By building Datavant Connect natively in Snowflake, Datavant will help to accelerate research and collaboration across and between the Healthcare and Life Sciences ecosystems,” said Todd Crosslin, Global Industry Principal of Healthcare and Life Sciences at Snowflake. “This is a great first step in helping our joint customers unlock the true potential of their healthcare data, and do so with the security and governance that comes with the Snowflake Data Cloud.”

Rounding up highlights for is a combo of identity resolution and no data movement, two components which Datavant Connect will pursue through Snowflake Data Clean Rooms. This translates to how the platform in question will serve as an identity resolution layer in the recently launched Snowflake Data Clean Rooms, something it will do to facilitate analytics and machine learning operations without actually moving data. Such an arrangement, as a whole, should provide healthcare and life science customers with compute capabilities, and at the same time, protect underlying data.

Operating out of San Francisco, Datavant has risen up by providing users with the world’s most robust healthcare network, along with value-added services that make data across the healthcare space more secure, accessible, and usable. The company’s excellence in what it does can be understood once you consider that, at the moment, more than 70,000 hospitals and clinics trust Datavant, making up almost 70% of the 100 largest health systems. On top of it, the company also boasts a line-up of more than 500 partners, a line-up which includes 18 of the 20 biggest pharma companies.

“Removing friction and accelerating time to insight is critical to advancing the pace of healthcare research and innovation,” said Tal Rosenberg, GM and President of Life Science, Ecosystem, and Public Sector at Datavant. “We’re thrilled to bring our data connectivity technology to the Snowflake Data Cloud and improve the understanding of patient health and disease.”

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