Continuum Health Technologies Corp.

Other

Albert Scarasso

Michael Craig Tulkoff

Aquiles Mata

Enzo Alda

A Statistical financial system to value patient visits to healthcare providers allows healthcare providers to optimize their financial outcomes when billing insurance payers for services rendered in the course of patient visits. Commercial healthcare information systems today lack the ability to value these services in advance. Given the complexity of valuing services based on many variables and resource limitations, a predictive valuation provides the user with the information for accurate and timely decision making Using the historical data, the system creates a predictive model of future claims by creating attribute patterns from the data. As new information comes into the system, these attribute patterns are compared to the real-time data in order to create a value for a service and an overall visit. Using the valuation, the system will now be able to prioritize all follow-up tasks. The overall result is a better financial performance for the healthcare provider.

Statistical financial system and method to value patient visits to healthcare provider organizations for follow up prioritization

A Statistical financial system to value patient visits to healthcare providers allows healthcare providers to optimize their financial outcomes when billing insurance payers for services rendered in the course of patient visits. Commercial healthcare information systems today lack the ability to value these services in advance. Given the complexity of valuing services based on many variables and resource limitations, a predictive valuation provides the user with the information for accurate and timely decision making. Using the historical data, the system creates a predictive model of future claims by creating attribute patterns from the data. As new information comes into the system, these attribute patterns are compared to the real-time data in order to create a value for a service and an overall visit. Using the valuation, the system will now be able to prioritize all follow-up tasks. The overall result is a better financial performance for the healthcare provider.

A system for implementing a computer-based assistance in a conversation can comprise determining an identification indication associated with a first participant in a conversation. The system can also comprise accessing, within a database, user information associated with the identification indication. The user information can comprise data relating to the first participant. Based upon the user information and one or more words communicated in the conversation, the system can include calculating one or more probabilities that the conversation is associated with one or more respective conversation types. Based upon a determined conversation type, the system can activate an expert agent in the conversation. The expert agent can comprise a virtual conversation participant that is associated with a goal. The system can also comprise executing a sequential lists of actions that are associated with the goal, wherein the list of actions comprises interactions with the first participant.

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Austin, TX, United States of America

Albert Scarasso