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Title

Accolade creates seamless healthcare experiences with a RAG solution on Databricks

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Creating seamless healthcare experiences from start to finish | Databricks Skip to main content Login Why Databricks Discover For App Develop…

Description

Healthcare technology company Accolade consolidated fragmented data from AWS Redshift and Snowflake into a Databricks lakehouse with Unity Catalog and built a RAG solution using the open-source DBRX model via Agent Bricks Custom Agents to help internal teams quickly and accurately answer complex member inquiries.

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…vice delivery, which could now be done with the help of generative AI. However, the complexity of managing and coordinating multiple models across various systems, such as AWS Redshift and Snowflake, proved to be a significant obstacle. Since the company’s complex data management landscape also complicated the dev…
…ve AI workflow that uses custom data and documents to provide context for LLMs. Accolade used the Agent Bricks Custom Agents to develop a RAG solution specifically tailored to improve the efficiency and effectiveness of their internal teams. The Databricks Data + AI Platform allowed the company’s power users to access d…
…providing them with the guidance to answer questions confidently and correctly. Accolade’s RAG solution relied on DBRX , an open source LLM developed by Databricks, to help them use proprietary enterprise data for more accurate and context-awa…

Company

Accolade

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…stering major productivity gains. Delaying AI efforts due to data fragmentation Accolade , a healthcare company that provides care delivery and advocacy services, is on a mission to help every member lead their healthiest life. The company’s technology-enabled solutions combine virtual primary care and men…

Industry

Healthcare

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…mission to deliver superior healthcare services to all. Share this post Details Industry : Digital and AI-Native Business , Healthcare and Life Sciences , Technology and Software Use Case : Artificial Intelligence Cloud : AWS Product : Agent Bricks , Unity C…

Problem

Accolade's member data was fragmented across multiple platforms including AWS Redshift and Snowflake, hindering accurate member stratification, slowing internal teams' access to information and increasing operational costs.

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…colade’s Vice President of Enterprise Data and Clinical Platform, Kapil Ashar, “Fragmented data across multiple different platforms hampered our efficiency and ability to provide timely, personalized care. Our internal teams struggled to quickly access the necessary information, leadi…
…o connect the fragmented world of healthcare data in the name of better health. Spread across multiple platforms, Accolade’s data was siloed and lacked real-time access, hindering accurate member stratification (i.e., the process of categorizing members into different groups based on healt…

Solution

Accolade consolidated data into a Databricks lakehouse architecture governed by Unity Catalog (supporting HIPAA compliance), then built a retrieval augmented generation (RAG) solution using Agent Bricks Custom Agents on the open-source DBRX model, deploying it via Databricks Model Serving as a RESTful API for real-time predictions.

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…their data fragmentation, ML model development and customer service challenges. Central to this implementation was a lakehouse architecture that enabled the combination of data storage and management to facilitate easier access and analysis. This unified environment allowed Accolade to break down the silos between diffe…
…data ingestion from various sources. As streaming data flowed into the system, Databricks Unity Catalog was critical for management and governance, supporting HIPAA compliance requirements with stringent access controls and detailed data lineage. Now, Accolade could s…
…a, the internal teams could better understand and fulfill customer commitments. Once the DBRX model generated insights, Databricks Model Serving came into play. It deployed the model as a RESTful API, enabling real-time predictions that could be integrated directly into Accolade…

Business value

The RAG solution let internal teams quickly and confidently answer complex member inquiries across diverse data sources such as PDFs, protocols and customer information, driving major productivity gains and giving teams greater transparency and control over ML costs and resources.

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…etrieval augmented generation (RAG) techniques. With the help of generative AI, the Accolade team developed solutions to quickly answer complex member inquiries, bolstering major productivity gains. Delaying AI efforts due to data fragmentation Accolade , a healthcare company…
…comprehensive lifecycle management. As a result of the Databricks integration, Accolade experienced greater transparency and control over resources and costs to simplify the development and maintenance of ML models, while ensuring compliance with data governance standards. Centralizing data an…

AI capabilities

Generative AI, Retrieval-Augmented Generation

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…tory compliance and allowed data teams to access data and collaborate securely. Databricks tools also paved the way for Accolade’s use of retrieval augmented generation (RAG), a generative AI workflow that uses custom data and documents to provide context for LLMs. Accolade used the Agent Bricks Custom Agents to develop a RAG solution specific…

Technology

Databricks Data + AI Platform, Unity Catalog, Agent Bricks, DBRX, Databricks Model Serving, Apache Spark

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…iences , Technology and Software Use Case : Artificial Intelligence Cloud : AWS Product : Agent Bricks , Unity Catalog Ready to get started? Try Databricks for free Learn more about our product Talk…
…providing them with the guidance to answer questions confidently and correctly. Accolade’s RAG solution relied on DBRX , an open source LLM developed by Databricks, to help them use proprietary enterprise data for more accurate and context-awa…

Headline outcome

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…etrieval augmented generation (RAG) techniques. With the help of generative AI, the Accolade team developed solutions to quickly answer complex member inquiries, bolstering major productivity gains. Delaying AI efforts due to data fragmentation Accolade , a healthcare company…

Use case type

Knowledge search

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…y tailored to improve the efficiency and effectiveness of their internal teams. The Databricks Data + AI Platform allowed the company’s power users to access diverse data sources — from PDF files to online protocols and customer information — providing them with the guidance to answer questions confidently and correctly. Accolade’s RAG solution relied on DBRX , an open source LLM developed by Databr…
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Captured
09 Sept 2026, 06:06 UTC
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