Driving Big Data Sharing for Population Health Efforts
As population health efforts continue to expand, the need for comprehensive data analytics and interoperability is also growing. Big data is emerging as the driver of identifying populations in need of care, measuring the care provided to those populations, and delivering care to the correct people.
As in any healthcare IT use case, data is only powerful if it can be shared. However, according to the Journal of AHIMA, interoperability is still immature when it comes to the population-level use cases needed to drive outcomes for value-based care. In other words, interoperability needs to be about populations, and not just individual patients.
Thankfully, the RosettaHealth HealthBus platform makes this possible by leveraging technology, server-less, and cloud infrastructure to provide scalable, secure information transport, data wrangling, and orchestration services.
The platform’s interoperability in the cloud capabilities mean that there are no more hosting tools, labor to manage VPNs or create connections – and no more working through third parties. With full HIE capabilities, the platform can pull, push, and query-retrieve from any data source because the solution complies with all the health transport standards.
The HealthBus platform offers cloud-analytics capabilities for providing real-time dashboards and reports on each connection in your network, as well as each facility, protocol, and feed. Finally, the platform offers commoditized pricing and can move at scale. Bandwidth pricing means that you only pay for what you use.
Click here to learn more about RosettaHealth’s big data capabilities for population heath.
RosettaHealth can assist with any health information challenges you might have, book a free consultation with one of our interoperability experts.