Abstract: 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.

Abstract: 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.

Abstract: 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.