Onboarding healthcare data to the cloud is complex and time intensive. In fact, in a recent Redox report, 97% of surveyed provider organizations shared they’ve encountered significant challenges when attempting to ingest data into the cloud. Most providers assert that despite these challenges, the juice is worth the squeeze – aggregating data in a centralized cloud environment unlocks access to AI (artificial intelligence) and ML (machine learning) tools that are changing the healthcare game.
In light of regulatory and technological advancements in healthcare, why does this data disconnect still exist? And how is Redox changing the game to accelerate time to value in the cloud?
Redox recently discussed these challenges and how our partnership with Google Cloud allows providers, health plans, pharma, and digital tech organizations to onboard data into Google Cloud cloud faster + more cost effectively than any other solution. Read on for sound bites from our conversation with Kanwarpreet Sethi, Healthcare Product Manager at Google Cloud, and Nick McKenzie, Group Product Manager at Redox.
The major cloud providers have built a variety of healthcare-centric products to aggregate data to power cloud-native advanced analytics, AI, and a variety of applications. These products, such as Google Cloud’s Healthcare API and Healthcare Data Engine, require data to be based in the FHIR (Fast Healthcare Interoperability Resources) standard to enable interoperability at scale.
Clinical and administrative source data is stored in a number of varying standards and formats – to onboard it into the cloud, transformation and custom mappings are required. Kanwarpreet shares a typical cloud onboarding workflow for a Google Cloud HCLS customer, and some of the reasons why customers have struggled due to technical limitations.
Most organizations don’t have the technical resources or in-house expertise to keep up with multiple data standards. Preconfigured transformation options are available, but up to 20% of each standard is not truly “standard,” still requiring customization to fully transform. These technical roadblocks often lead to implementation delays and cost overruns, halting innovation progress.
Through FHIR transformation from legacy standards, Redox fills a critical gap to reduce time to value for Google Cloud customers. Instead of focusing on data integration (which Kanwarpreet affectionately refers to as “mapping hell”), these organizations can dedicate attention to enabling transformative healthcare use cases.
Nick also shared key takeaways from Redox’s proprietary cloud research, zooming out to understand resource challenges for provider organizations looking to undergo cloud transformation projects. The data affirms that most organizations lack in-house expertise, with 70% stating they struggled to find skilled resources to map legacy standards to FHIR, as well as maintain integrations.
Cloud integration projects are exceedingly slow – 88% of projects take longer than 6 months, with 51% taking at least 12 months to fully execute. Healthcare organizations want and need to see faster time to value from their investment, especially when engaging with 3rd party data partners.
Nick dives into the Redox Difference, and some of the behind-the-scenes of how our market leadership in healthcare data integration accelerates the time to value for Google customers. With 5,000+ existing integrations and the scale of data that we process, we’re able to bring significant experience and expertise to our Google Cloud partnership. Nick also flexed Redox’s data speeds of 33 messages / second, as well as our ability to accelerate cloud projects to execute 80% faster than the industry benchmark.
Wrapping up with a success story, Nick highlights our shared work with a national payvider (an organization that both provides and pays for care). This existing Redox + Google customer approached the teams with a new use case – the need to transform a large quantity of source data to FHIR to leverage their Google investment, with the fastest time to value possible.
Redox was able to translate 130 million historical CCDs (Continuity of Care Documents), as well as 1 million daily new CCDs from the EHR instance and Carequality into FHIR to be ingested into Google Cloud. Redox brought the payvider’s first use case live in 20% of the budgeted timeline, now exchanging 10 million monthly messages with average processing speeds of 33 records/second.
We’d love to help you in your journey to unlock innovation in the cloud. Click here to learn more about the Redox and Google partnership.