City of Hope Redefines Predictive Sepsis Detection Using Kafka

City of Hope uses a combination of technologies including Apache Kafka, Confluent Cloud on Microsoft Azure, Flink, MongoDB, Epic electronic health record system, and Confluent's rich ecosystem of connectors to build a real-time infrastructure for its sepsis prediction model. The model uses data streaming to predict the risk of sepsis in bone marrow transplant patients, reducing sepsis and ICU escalation rates. City of Hope's goal is to help clinicians make data-driven clinical decisions using real-time data, and the system has been successful in doing so. Confluent Cloud on Microsoft Azure enables the organization to better manage its real-time infrastructure, providing clarity into the system and enabling quick problem-solving. The use of Kafka serves as a backup solution, ensuring uninterrupted processing. By embracing a research-first approach and nurturing relationships with internal stakeholders, City of Hope has been able to build a scalable and reliable system that supports future application development.

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