Innovaccer to launch big data platform for population health at HIMSS17
Innovaccer has revamped its Big Data IT suite, dubbed Datashop, designed to help healthcare organizations more smoothly transition to the value-based care model by helping the organizations efficiently manage and potentially improve clinical and financial outcomes.
The value-based care-oriented platform combines Big Data technologies like Hadoop and Spark to create what Innovaccer calls an “interoperable data lake.”
Applications within the platform include: Datashop Connect pre-built connectors to various EHR and billing systems, Datashop Lake to analyze data for registries, Datashop Analyze to give clinicians a view of patient and disease registries to identify at-risk populations and improve quality measures, and the artificial intelligence tool Datashop Engage that helps increase medication adherence.
“The Centers for Medicare & Medicaid Services aims to link almost 50 percent of Medicare fee-for-service to alternative payment models by 2018, and commercial payers are seeking support to improve performance around member cost containment, engagement and supervision,” explained Sandeep Gupta, co-founder and COO at Innovaccer. “This shift from volume to value-based healthcare delivery is accelerating adoption of population health management solutions helping providers effectively manage chronic conditions and prevent unnecessary system utilization.”
With a micro-services architecture, the platform brings Lego-like modularity to help providers and networks pick and choose what they need; it also can help organizations evolve per fast-moving policy changes, said Kanav Hasija, co-founder and president of Innovaccer.
Innovaccer will launch the revamped Datashop platform at Booth 6179-13 in the Population Care Management Center at HIMSS 2017.
HIMSS17 runs from Feb. 19-23, 2017 at the Orange County Convention Center.
This article is part of our ongoing coverage of HIMSS17. Visit Destination HIMSS17 for previews, reporting live from the show floor and after the conference.
