C/hca, Inc.

Eric Matt

Jeffrey Cuthbert

Jonathan Perlin

Stephanie Fulbright

Jane Englebright

William Dan Roberts

Whitney Staub-Juergens

Tabatha Cooper

Willie Ford

Mitchel Davis

Amit Chaudhri

Jody Miller

Leslie Werhane

Andrew Carnes

Techniques are disclosed for determining a risk assessment corresponding to a level of risk that a user of a service organization has or will develop a condition. The techniques include receiving user data associated with a user record of a user. The techniques further include inputting the user data into a trained prediction model of a user condition prediction system. The user data may include a plurality of data points, weighted relative to each other, that respectively correspond to one of a plurality of categories. The techniques further include determining, by the trained prediction model, a risk assessment of a user condition based on the user data. The risk assessment may then be provided to a user device of a user service agent for use coordinating user service.

Predictive modeling for user condition prediction

Systems, methods, and machine-readable media to orchestrate process-performing resources and process protocols particularized to individual resources and loads are provided. Data changes in the data streams may be detected and identified. Data items from the data streams may be aggregated. Protocols that include parameter constraints according to specifications of process performance and/or operation performance may be identified. Operation-performing resources may be modeled with metrics being a function of protocols and consolidated data portions. A composite may be created that specifies a configuration a subsystem. The composite may be transmitted, and allocation of operation-performing resources to perform the defined process in accordance with the selected protocols may be controlled.

Systems and methods for multi-tier resource and subsystem orchestration and adaptation

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Aurora, CO, United States of America

Eric Matt