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Title
Ensemble Health Partners modernizes the healthcare revenue cycle with Databricks
…ct Us Try Databricks Customer Stories / Ensemble Health Partners CUSTOMER STORY Modernizing the healthcare revenue cycle with integrity 10x reduction in failure rates related to data and infrastructure 2x improvemen…
Description
Healthcare revenue cycle company Ensemble Health Partners migrated its EIQ intelligence engine to a Databricks lakehouse with Delta Lake and Unity Catalog, tuning over 5,500 ML models on 25,000+ variables to prevent claim denials and improve revenue yield, achieving a 2x performance improvement and 10x reduction in failure rates.
…l their use cases. Improving client outcomes with data-driven insights at scale Since migrating EIQ to the Databricks Data + AI Platform, Ensemble has gained new insights and functionality to improve services at scale. Now, the company is moving faster with fewer resources, simple lakehouse archit…
…an 25 billion transactions and 65,000 payer updates and rule changes each year. The company is leveraging over 25,000 variables to continually inform and tune over 5,500 ML models supporting end-to-end revenue cycle management (RCM) intelligence. These insights have helped them improve revenue cycle operations for their clie…
…tecture and access controls to become more data-driven with efficient results. “We’ve seen a 2x improvement in performance and a 10x reduction in failure rates,” Wilson explained. “Now, our data teams are moving faster than ever before.” R…
Company
Ensemble Health Partners
…ith accelerated runtimes 800TB+ healthcare financial data managed by Databricks Ensemble Health Partners helps ensure the financial health of healthcare organizations through data-driven revenue cycle managed services. To ensure that health systems are reimbursed for the services delivered to pati…
Industry
Healthcare
…enue yield for healthcare providers across the country. Share this post Details Industry : Healthcare and Life Sciences Use Case : Data Warehousing , Data Engineering Cloud : Azure Product : Delta La…
Problem
Ensemble's legacy SSIS and SQL server-based processing was complicated, disjointed and slow, requiring each client to have their own database, obstructing enterprisewide insights and leaving pipelines slow and unreliable across the ETL process.
…ngine, EIQ,® through unified, accurate enterprise data insights. Unfortunately, with legacy SSIS and SQL server–based processing, Ensemble struggled to reliably surface and sync data across various platforms and reporting repositories promptly. Pipelines were slow and unreliable across the ETL process. The result was disjointed data and complicated client workflows that obstructed…
…obstructed enterprisewide insights. Grant Veazey, CTO at Ensemble, explained, “Our previous approach required each client to have their own database, which inherently added layers of complexity and overhead, pushing up opportunity costs that could be better served driving innovation an…
Solution
Ensemble standardized its EIQ revenue cycle intelligence engine on the Databricks Data + AI Platform, using Delta Lake as its core storage layer to improve ETL reliability and consistency, Unity Catalog for fine-grained data governance and security, and Databricks Notebooks for cross-team collaboration.
…nlock efficiency with a holistic view of the entire claims transaction journey. With Delta Lake as their core storage layer, Ensemble has improved the reliability and consistency of their extract, transform, load (ETL) pipelines — helping to keep data synced and accurate across environments using the same e…
…dd more people to support those new clients.” For data governance and security, Ensemble relies on Unity Catalog to manage fine-grained access to different types of data with uniform standards. Databricks Notebooks help with cross-team collaboration as data users can explo…
…o manage fine-grained access to different types of data with uniform standards. Databricks Notebooks help with cross-team collaboration as data users can explore and share data more efficiently and securely. Armed with these capabilities, Ensemble can break down data silos, expand payer…
Business value
Ensemble achieved a 2x improvement in performance and a 10x reduction in failure rates, now consuming over 25 billion transactions and 65,000 payer updates yearly while tuning over 5,500 ML models across 25,000+ variables to prevent claim denials, accelerate payments and improve revenue yield, onboarding new clients faster without adding headcount.
…tecture and access controls to become more data-driven with efficient results. “We’ve seen a 2x improvement in performance and a 10x reduction in failure rates,” Wilson explained. “Now, our data teams are moving faster than ever before.” R…
…dependent downstream applications. With scalability limits a thing of the past, Ensemble can efficiently consume more than 25 billion transactions and 65,000 payer updates and rule changes each year. The company is leveraging over 25,000 variables to continually inform and tune…
…s have helped them improve revenue cycle operations for their clients including improving coding accuracy to prevent claim denials, accelerating the appeals process, prioritizing collections opportunities and identifying underpaid claims. Call center improvements have also been made using an API that surfaces specif…
AI capabilities
Machine Learning, Predictive Analytics
…an 25 billion transactions and 65,000 payer updates and rule changes each year. The company is leveraging over 25,000 variables to continually inform and tune over 5,500 ML models supporting end-to-end revenue cycle management (RCM) intelligence. These insights have helped them improve revenue cycle operations for their clie…
Technology
Databricks Data + AI Platform, Delta Lake, Unity Catalog, Databricks Notebooks
…and Life Sciences Use Case : Data Warehousing , Data Engineering Cloud : Azure Product : Delta Lake , Unity Catalog Ready to get started? Try Databricks for free Learn more about our product Talk…
Headline outcome
…tecture and access controls to become more data-driven with efficient results. “We’ve seen a 2x improvement in performance and a 10x reduction in failure rates,” Wilson explained. “Now, our data teams are moving faster than ever before.” R…
Use case type
Predictive operations
…s have helped them improve revenue cycle operations for their clients including improving coding accuracy to prevent claim denials, accelerating the appeals process, prioritizing collections opportunities and identifying underpaid claims. Call center improvements have also been made using an API that surfaces specif…
