Case Study: Cerner achieves seamless IT service continuity and faster issue detection with IBM Streams (IBM)

Supporting seamless healthcare delivery by keeping a finger on the pulse of IT performance

Cerner Corporation, a major provider of health IT solutions, needed to ensure clinicians could access critical systems without delay but faced overwhelming volumes of operational monitoring data that existing tools couldn’t process quickly enough. To solve this, Cerner partnered with IBM, deploying IBM Cloud technologies and IBM Streams to analyze real-time metrics and detect IT performance issues faster.

IBM implemented IBM Streams to ingest data from Cerner’s Apache Kafka pipeline and run statistical PAF models across 1.2 billion RTMS daily timers, enabling real-time benchmarking and anomaly detection. The IBM solution reduced PAF processing time from 24 hours to 10 minutes, immediately cut outages by about 25 per quarter, increased responsiveness, and unlocked faster development of predictive models and new monitoring capabilities.

Cerner

Adam Splitter

Knowledge Architect, Technology Improvement