Cerner Innovation, Inc.

Andrew Olson

Micah Whitacre

Greg Whitsitt

Bryan J Baugher

Methods, systems, and computer-readable media are provided for delivering healthcare records with low latency. Healthcare data is collected from various disparate healthcare data sources. The data is filtered in accordance with routing rules to identify healthcare data to deliver to a processing node. The routing rules specify that healthcare data from a particular originating source of a particular data type is to be delivered to a particular processing node. The healthcare data is converted to a local format for use by a computing solution. This system of delivering healthcare data with low latency ensures that the data is delivered to the correct location in the correct format, even if the routing rules change.

Rule-based low-latency delivery of healthcare data

Methods, systems, and computer-readable media are provided for aggregating, partitioning, and storing healthcare data. Healthcare data is collected from various disparate healthcare data sources. The data is aggregated into batches of the same type of data. From here, the data is partitioned according to the data's originating healthcare data source. The aggregated and partitioned healthcare data is then stored in a long term storage data store. This system of storing healthcare data allows for efficient retrieval and processing by computing solutions that need access to batches of healthcare data. The system also reduces costs associated with storing data as duplicate storage is eliminated.

Aggregation, partitioning, and management of healthcare data for efficient storage and processing

Methods, systems, and computer-readable media are provided for synchronizing healthcare data across disparate data centers. Healthcare data from healthcare data sources is received by a collector service that operates in a cloud computing platform. The data is sent to a staging platform associated with a first data center that is hosting the collector service. From here, the data is stored in association with a long-term storage data store associated with the first data center. As well, it is communicated to processing nodes associated with the first data center that subscribe to the data. The staging platform also communicates the data to a staging platform associated with a second data center. This staging platform also stores the data in association with a long-term storage data store located at the second data center and communicates the data to processing nodes located at the second data center that subscribe to the data.

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Kansas City, MO, United States of America

Andrew Olson