Innovaccer unveils data platform for longitudinal patient care
Innovaccer, a developer of population health and data platforms for healthcare providers, is releasing a unified data platform designed to enable healthcare organizations to leverage different types of data to help care teams draw insights in treating patient populations.
The San Francisco-based company is launching InData, which will enable healthcare organizations to integrate, clean and normalize data from multiple sources, enabling care teams to operate “on a single shared source of truth,” the company says.
Innovaccer says the new platform unifies clinical, claims, billing, labs health information exchanges and other data sources through connectors to more than 60 vendors’ electronic health records systems, as well as more than 200 other health IT systems. Data coded in a variety of other formats—CCDA, X12, ADT feeds, CSV files and HL7 feeds—can come into the system. Information also can be fed back into EHRs with supported protocols, data and standards.
The company says InData is built on an architecture designed to scale and ingest data from both current and future sources, and adopts recent machine learning technologies to deliver “automated quality checks and standardization processes” to provide accurate data. To facilitate linking information to patients, InData generates an enterprise master patient index to store integrated information longitudinally.
“After numerous interactions with healthcare influencers and leaders, I am very certain of the need for organizations to build a future-proof integration technology stack that can handle the exponential growth of data,” says Abhinav Shashank, co-founder and CEO. “Many healthcare organizations are still struggling with data integration, and that is only going to increase.”
Shashank says the new platform incorporates drag-and-drop functionality that simplifies extract, transform and load (ETL) processes, and it streamlines workflows and reduces the time needed to hunt for critical information.