Every decision healthcare orLife Sciences companies make can impact a person's health, so each decision should be made in the most informed way possible. While generating meaningful insights from data is the key to making these effective and informed decisions, that hasn't always been possible.
The problem is not a lack of data — the healthcare industry generates 30% of the world's data volume — but making the data useable1. Today, the World Economic Forum estimates 97% of hospital-generated data is not used2.
Why is the majority of healthcare data not used today?
Datavant makes the world’s health data secure, accessible, and usable. Our customers have access to a suite of connectivity tools to tokenize data, find and assess potential data partners, and compliantly connect datasets at the individual level while preserving patient privacy. We simplify the complexity of connecting the data you need so that the process is as frictionless as possible for you and your partners.
The Datavant Connect tokenization engine (deployed as a Native App) enables customers to tokenize and transform their data within the Snowflake AI Data Cloud. Tokenizing on Snowflake accelerates data processing while protecting patient privacy, and provides additional benefits including:
The Datavant Connect Native App for Snowflake is a database object installed in the customer’s account via the Snowflake Native App framework. A high level view of the Snowflake Native App Framework is shown below.
The Datavant Connect Native App is a tokenization engine that will provide two stored procedures for tokenizing PII and transforming tokens. After installation, these stored procedures can be executed by the consumer from their Snowsight console making it fast, easy, and scalable to tokenize.
The future of connected data is cloud-first. Organizations can maximize their investment in the cloud, reduce data movement, and generate patient insights faster by tokenizing on Snowflake. This novel approach to data connectivity will more effectively address healthcare andLife Sciences data needs, 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.
Join us on July 25th, 12:00 pm EST for an interactive session with two Snowflake experts, Todd Crosslin, healthcare andLife Sciences global leader, and Haylee Alexander, clean room pioneer, an interactive demo from Datavant cloud solution architect Garrett Little, and a Q&A session to answer all of your burning questions.
Read up on the latest use cases and FAQ about cloud-first tokenization.
AnalyticsIQ, a marketing data and analytics company, recently adopted Datavant’s state de-identification process to enhance the privacy of its SDOH datasets. By undergoing this privacy analysis prior to linking its data with other datasets, AnalyticsIQ has taken an extra step that could contribute to a more efficient Expert Determination (which is required when its data is linked with others in Datavant’s ecosystem).
AnalyticsIQ’s decision to adopt state de-identification standards underscores the importance of privacy in the data ecosystem. By addressing privacy challenges head-on, AnalyticsIQ and similar partners are poised to lead clinical research forward, providing datasets that are not only compliant with privacy requirements, but also ready for seamless integration into larger datasets.
"Stakeholders across the industry are seeking swift, secure access to high-quality, privacy-compliant SDOH data to drive efficiencies and improve patient outcomes,” says Christine Lee, head of health strategy and partnerships at AnalyticsIQ.
“By collaborating with Datavant to proactively perform state de-identification and Expert Determination on our consumer dataset, we help minimize potentially time-consuming steps upfront and enable partners to leverage actionable insights when they need them most. This approach underscores our commitment to supporting healthcare innovation while upholding the highest standards of privacy and compliance."
As the regulatory landscape continues to evolve, Datavant’s state de-identification product offers an innovative tool for privacy officers and data custodians alike. By addressing both state-specific and HIPAA requirements, companies can stay ahead of regulatory demands and build trust across data partners and end-users. For life sciences organizations, this can lead to faster, more reliable access to the datasets they need to drive research and innovation while supporting high privacy standards.
As life sciences companies increasingly rely on SDOH data to drive insights, the need for privacy-preserving solutions grows. Data ecosystems like Datavant’s, which link real-world datasets while safeguarding privacy, are critical to driving innovation in healthcare. By integrating state de-identified SDOH data, life sciences can gain a more comprehensive view of patient populations, uncover social factors that impact health outcomes, and ultimately guide clinical research that improves health.
Both payers and providers are increasingly utilizing SDOH data to enhance care delivery and improve health equity. By incorporating SDOH data into their strategies, both groups aim to deliver more personalized care, address disparities, and better understand the social factors affecting patient outcomes.
Payers increasingly leverage SDOH data to meet health equity requirements and enhance care delivery:
Payers’ consideration of SDOH underscores their commitment to improving health equity, delivering targeted care, and addressing disparities for vulnerable populations.
Capital District Physicians’ Health Plan (CDPHP) incorporated SDOH, partnering with Papa, to combat loneliness and isolation in older adults, families, and other vulnerable populations. CDPHP aimed to address:
By integrating SDOH data, CDPHP enhanced their services to deliver comprehensive care for its Medicare Advantage members.
Value-based care organizations face challenges in fully understanding their patient panels. SDOH data significantly assists providers to address these challenges and improve patient care. Here are some examples of how:
By leveraging SDOH data, providers gain a more comprehensive understanding of their patient population, leading to more targeted and personalized care interventions.
While accessing SDOH data offers significant advantages, challenges can arise from:
To overcome these challenges, providers must have robust data integration strategies, standardization efforts, and access to health data ecosystems to ensure comprehensive and timely access to SDOH data.
With Datavant, healthcare organizations are securely accessing SDOH data, and further enhancing the efficiency of their datasets through state de-identification capabilities - empowering stakeholders across the industry to make data-driven decisions that drive care forward.
Explore how Datavant can be your health data logistics partner.
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