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Redis Enterprise: A NoSQL database for real-time claim processing

Power digital claims processing platforms with Redis Enterprise

Build real-time claims-processing systems with Redis Enterprise

Efficient claims processing has become a top challenge for insurance companies as the cost and complexity of healthcare continues to rise. Redis Enterprise provides the building blocks for modern digital claims processing platforms with in-memory database performance, real-time event processing, full-text and vector search, and AI/ML feature serving.

Insurance claims processing workflows are long and complex

Insurance companies receive millions of claims each day from healthcare professionals through a vast array of software platforms. Errors in the claims process lead to countless phone calls and resubmittals that waste time and raise the cost of care.

The cost and complexity of claims processing has increased

While electronic claims submission is growing in popularity, many claims-processing entities use multiple internal and external systems that require days between processing steps. Payers and providers are now looking for ways to integrate different claims platforms, or build their own end-to-end systems.

Evolving claims processing to work in real time improves the experience for patients, payers, and providers

Traditional claims processing systems that run on legacy hardware and rely on inflexible approval rules can’t process claims quickly, and are significantly harder to update over time. Modernizing these systems with cloud infrastructures, event-driven architectures, and AI/ML models means insurance claims can be efficiently handled in real time.

How Redis Enterprise addresses the challenges of claims processing

Claims Processing Diagram

Inefficient claims processing forces healthcare professionals to waste time chasing payments instead of spending time on patient care, leading to worse health outcomes for patients and higher insurance costs. Redis Enterprise provides the real-time performance and modern data models needed to power real-time claims inquiries, instant member lookups, fraud detection, auto claims adjudication, and more.

Modernize claims with event-driven architecture

Events can represent the steps of the claims process without requiring tightly coupled application logic. Use Redis Enterprise to trigger data processing in response to updates in your claims processing workflow, and as a store for real-time events and streams.

Enable real-time claims status inquiries

A claims status inquiry often involves expensive queries across dozens of different systems. Redis Enterprise can be used as an event store and search engine for more efficient claims status inquiries, or as an in-memory database for best performance.

Apply AI/ML models to claims auditing and fraud detection

Manually analyzing claims for fraud is highly inefficient. AI and machine learning models can automate and speed up claims adjudication and fraud detection. Redis Enterprise vector search enables you to leverage Large Language Models to verify document similarity and text analysis. 

Product features

Real-time claims processing and claims status inquiry

Redis as a cache

Caching decreases application response times by serving frequently needed data from an in-memory cache instead of making calls to a database with network-attached persistent storage. Redis Enterprise provides enterprise-grade caching with expiration and eviction policies to efficiently manage cache objects, global distribution with Active-Active replication, and virtually unlimited scale.

Redis Streams

Redis Enterprise can act as an event store with Redis Streams supporting claims processing platforms designed to ingest and analyze large amounts of transactions in real time, or process data in response to real-time events.

AI and machine learning-driven claims auditing and fraud detection

Triggers and Functions

Triggers and Functions is a serverless engine for transaction, batch, and event-driven data processing in Redis. It enables you to execute data flows in Redis in almost any deployment environment with infinite programmability. Triggers and Functions enables use cases like write-behind caching, event processing, and the use of multiple models together in Redis to power more sophisticated fraud analysis.

Vector database

Redis Enterprise can act as a vector database supporting claims fraud detection by feeding relevant document embeddings in real-time to LLMs for detecting similar fraud patterns.

Operational simplicity and reliability

Multiple data models

By combining Redis feature and data structures, Redis Enterprise can power multiple components of a digital claims processing platform. The result is a simpler architecture that can process data across multiple models without needing to run multiple database clients and connectors.

High availability, persistence, and disaster recovery

Redis Enterprise uses a shared-nothing cluster architecture and is fault tolerant at all levels—with automated failover at the process level, for individual nodes, and even across infrastructure availability zones, as well as tunable persistence and disaster recovery.

Enterprise-grade security

Redis Enterprise comes with role-based access control (RBAC), administrative auditing, built-in encryption, and integrations with external identity providers to meet the security and compliance needs of your organization.

FAQ

  • What is claims processing?
    • Claims processing is the process of evaluating, adjusting and settling insurance claims. It typically involves a series of steps that include receiving the claim, verifying coverage and benefits, assessing the validity and value of the claim, and determining the appropriate payment or denial of the claim.