Redis Enterprise provides the performance and reliability healthcare organizations need
to deliver patient-centered healthcare applications that remain highly available in any scenario.
COVID-19 has put tremendous pressure on the global healthcare system in a time when the cost of care is steadily growing. Your organization needs to not only maintain operational continuity, but to also explore new ways of providing care and increasing operational efficiency.
Consumers already expected digital and user-friendly ways to manage their healthcare journeys—now the demand is even greater. To stay relevant, health applications must be even more responsive and tailored to patient needs, with capabilities that make it even easier for them to find doctors, receive personalized health recommendations, and pay for care.
It’s now more important than ever to have a digital health infrastructure with the performance and scale needed to support the widespread adoption of telemedicine, digital claims processing, and other software-driven approaches to healthcare, while helping you remain compliant with shifting regulations.
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 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.
RediSearch provides full-text search and secondary indexing capabilities on top of Redis to ensure that searches across transaction history or geospatial data are fast and accurate. In addition to instantly indexing new data, documents and indexes can be co-located—eliminating the need to keep them synchronized across multiple databases.
AI and machine learning models are increasingly being used to improve the speed and accuracy of fraud-detection platforms, but the need to query reference data stored in a separate database creates network overhead that makes processing times much slower. Redis Enterprise lets you serve deep-learning models directly where your data lives for dramatically increased performance, enabling faster and more accurate fraud analysis.
RedisGears 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. RedisGears enables use cases like write-behind caching, event processing, and the use of multiple models together in Redis to power more-sophisticated fraud analysis.
By combining Redis modules 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.
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.
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.
By continuing to use this site, you consent to our updated privacy agreement. You can change your cookie settings at any time but parts of our site will not function correctly without them.