Aetna Inc.

Robert Samuel

Claus T Jensen

Sriram Ganesan

Joseph Arnold

John A Pierce, Jr

Gerald Cormier

David Fitzgerald

Embodiments of the disclosure provide a method for aggregating and providing health data records to an electronic device. The method is performed by a server that includes a processor and a non-transitory computer readable medium with processor-executable instructions stored thereon. When the instructions are executed by the processor, the server performs the method including: (a) receiving collected data from one or more client devices, the collected data comprising health related data including at least one of step count data, heart rate data, sleep sensor data; (b) extracting metadata from the collected data; (c) pseudonymizing the collected data; (d) categorizing the collected data using the extracted metadata and enterprise ontology of the server; and (e) storing the collected data.

System and method of aggregating and interpreting data from connected devices

A method of integrating data across multiple data stores is provided. The method includes ingesting diverse data from multiple data sources and reconciling the ingested diverse data by updating semantic models based on the ingested diverse data. The method further includes storing the ingested diverse data based on one or more classification of the data sources according to the semantic models and automatically generating scalable service endpoints that are semantically consistent according to the classification of the data sources. The generated scalable service endpoints are application programming interfaces. The method also includes determining a protocol based on the scalable service endpoints in response to receiving a call from the one or more recipient systems and responding to the call from the one or more recipient systems by providing data in the classification of the data sources.

System and method for a semantically-driven smart data cache

An embodiment of the disclosure provides a method of integrating data across multiple data stores in a smart cache in order to provide data to one or more recipient systems. The method includes automatically ingesting diverse data from multiple data sources, automatically reconciling the ingested diverse data by updating semantic models based on the ingested diverse data, storing the ingested diverse data based on one or more classification of the data sources according to the semantic models, automatically generating scalable service endpoints which are semantically consistent according to the classification of the data sources, and responding to a call from the one or more recipient systems by providing data in the classification of the data sources.

A system and method for controlling business processes through information technology operational controls are disclosed. The method includes: receiving a business process; monitoring a load at each of multiple layers of the system; sending, to an end-to-end throttle controller, for each layer of the multiple layers, layer load data corresponding to the load at the layer, wherein each layer load data contains data related to a single layer; determining whether any adjustments should be made to throttling policies corresponding to the multiple layers based on the multiple layer load data; sending any adjustments that should be made to throttle agents of one or more layers; updating the throttling policies of one or more layers based on the adjustments; and, continuing executing the business process based on the updated throttling policies.

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Blue Bell, PA, United States of America

Robert Samuel