Description
Optum Inc helps hospitals accurately calculate the claim reimbursement, detect underpayment from the Insurance company. Optum receives millions of claims per day which needs to be evaluated in less than 8 hours and the results need to be sent back to the hospitals for revenue recovery purposes. There is a very low tolerance for delay and error in the claim processing pipeline because it saves millions of dollars in revenue for the hospitals. Most of the US hospitals run at a profit margin of 2%, without accurate claim processing, many hospitals won’t be able to survive. In the past 3 years, we have been replacing an Oracle-based system by one written in Apache Spark, Scala, and Java. In this presentation, we will discuss 1.The conversion of claim ingestion process from PLSQL on Oracle to Apache Spark which improved the performance by 50% and reduced the cost significantly. 2.The design and POC have been done to replace the ‘claim reimbursement’ module from PLSQL to Spark. a.How using Spark opens up our solution space to accommodate both batch and streaming which was not viable with Oracle. Oracle is good for only batch processing with tons of trouble. b.How Spark is helping us wr…
Description from YouTube. Full content on the video page.
Topics
More from Databricks
NewsParallel Coding Agents with Lakebase | Claude Code + GitHub Actions
This video demonstrates how to run multiple coding agents in parallel by combining git worktrees, GitHub Actions, and Lakebase database branching. It shows how each agent automatically receives an isolated database branch for safe experimentation and schema migrations, followed by dedicated preview environments for pull requests.
EventsHow Enterprises Govern AI Agents Across Multiple Models
Databricks announced the general availability of the Unity AI gateway to provide centralized multi-model governance, cost controls, and end-to-end observability for enterprise AI agents. Panelists discussed how coding agents and harnesses are evolving beyond programming into long-running operations, personal software development, and automated organizational workflows.
EventsDemo: Building a Governed AI Agent with Unity AI Gateway
This video demonstrates how to build, update, and govern a store operations AI agent using Databricks Agent Bricks and the Unity AI Gateway. The tutorial highlights integrating custom Model Context Protocol servers, recording execution traces with MLflow, and enforcing security policies and budget controls.
NewsHow ModMed Transforms Healthcare AI and Agentic Workflows with Databricks
ModMed uses the Databricks Lakehouse platform and Unity Catalog to build secure AI-enabled healthcare applications and agentic workflows. The integration of these tools allows both technical and non-technical users to access near real-time data insights and solve complex problems efficiently.
NewsTeach AI how your business actually runs
Model intelligence is no longer the bottleneck for enterprise AI adoption because modern frontier models easily handle complex reasoning tasks. Business value requires providing these models with specific organizational context and metadata about internal processes to create a competitive advantage.