C/hca, Inc.

Jeffrey Cuthbert

Eric Matt

Jonathan Perlin

Stephanie Fulbright

Jane Englebright

Mitchel Davis

Jody Miller

Leslie Werhane

Whitney Staub-Juergens

Tabatha Cooper

Willie Ford

William Dan Roberts

Amit Chaudhri

William Michael Gregg

Edmund Stephen Jackson

Gabriel O Perez

Annabaker Garber

Aaron Montlary

Cae Swanger

Timothy Beacham

Louis Davis

Daniel Hefley

Troy Gifford

Gary Winfield

Andrew Carnes

Brian Weldy

Electronic communications received via a network from a plurality of electronic devices may include signals of device interactions or data changes that correspond to process performances by process-performing resources, signals of conditions of loads, or signals of processes associated with the process-performing resources and the loads. Data composites may be formed from the electronic communications, with data portions collected and mapped to resource profile records and load profile records that may be updated with the collected data portions. For each load, at least one of the one or more resource profile records and/or the one or more load profile records may be used to map the process-performing resources to the load. Content nodes may be linked in a network of content nodes, including respective linked content, resource specifications or load specifications. Access to the network of content nodes may be allowed via a control interface.

Multi-tier resource, subsystem, and load orchestration

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

In some examples, a computer-implemented method for determining a state of a dependent user is provided. A flag is generated if a measured first parameter for a dependent user is within a range of values of a respective defined first parameter and a measured second parameter for the dependent user is within a range of values of a respective defined second parameter, and the measured first parameter and the measured second parameter occur within a temporal window.

Methods of determining a state of a dependent user

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Littleton, CO, United States of America

Jeffrey Cuthbert