Abstract: Header assemblies generally used to handle yarns, for example, to facilitate connection of yarns feeding into a tufting machine or other device. In some embodiments, the improved header assembly includes at least a detachable header and a collector plate. The improved header assembly simplifies the process of loading yarn through a detachable header by positioning the detachable header so that it abuts the collectable plate so that individual yarns can be blown through the collector plate through the appropriate holes in the detachable header. In some embodiments, the header assemblies are configured for use with varying gauges, different alignment requirements, different devices, and/or to otherwise be more universal in nature.

Abstract: Header assemblies generally used to handle yarns, for example, to facilitate connection of yarns feeding into a tufting machine or other device. In some embodiments, the improved header assembly includes at least a detachable header and a collector plate. The improved header assembly simplifies the process of loading yarn through a detachable header by positioning the detachable header so that it abuts the collectable plate so that individual yarns can be blown through the collector plate through the appropriate holes in the detachable header. In some embodiments, the header assemblies are configured for use with varying gauges, different alignment requirements, different devices, and/or to otherwise be more universal in nature.

Abstract: A method and system for analyzing historical medical provider billings to statistically establish a normative utilization profile. Comparison of a medical provider's utilization profile with a normative profile is enabled. Based on historical treatment patterns and a fee schedule, an accurate model of the cost of a specific medical episode can be created. Various treatment patterns for a particular diagnosis can be compared by treatment cost and patient outcome to determine the most cost-effective treatment approach. It is also possible to identify those medical providers who provide treatment that does not fall within the statistically established treatment patterns or profiles.

Abstract: A method and system for analyzing historical medical provider billings to statistically establish a normative utilization profile. Comparison of a medical provider's utilization profile with a normative profile is enabled. Based on historical treatment patterns and a fee schedule, an accurate model of the cost of a specific medical episode can be created. Various treatment patterns for a particular diagnosis can be compared by treatment cost and patient outcome to determine the most cost-effective treatment approach. It is also possible to identify those medical providers who provide treatment that does not fall within the statistically established treatment patterns or profiles.

Abstract: A method and system for analyzing historical medical provider billings to statistically establish a normative utilization profile. Comparison of a medical provider's utilization profile with a normative profile is enabled. Based on historical treatment patterns and a fee schedule, an accurate model of the cost of a specific medical episode can be created. Various treatment patterns for a particular diagnosis can be compared by treatment cost and patient outcome to determine the most cost-effective treatment approach. It is also possible to identify those medical providers who provide treatment that does not fall within the statistically established treatment patterns or profiles.

Abstract: A method and system for analyzing historical medical provider billings to statistically establish a normative utilization profile. Comparison of a medical provider's utilization profile with a normative profile is enabled. Based on historical treatment patterns and a fee schedule, an accurate model of the cost of a specific medical episode can be created. Various treatment patterns for a particular diagnosis can be compared by treatment cost and patient outcome to determine the most cost-effective treatment approach. It is also possible to identify those medical providers who provide treatment that does not fall within the statistically established treatment patterns or profiles.

Abstract: Systems, methods, and computer program products for mapping clinical data including insurance data and pharmaceutical data with a health data dictionary. The health data dictionary provides a vocabulary that identifies insurance companies and pharmaceutical compounds including drugs in a normalized and standard form. The clinical data generated at a legacy system is compared with standard clinical data stored in the health data dictionary. Based on this comparison a partial or exact match is identified for the clinical data. After a match is selected, the normalized clinical data can be stored in a data repository. For unmatched clinical data, new concepts can be created and added to the health data dictionary for future use.

Abstract: A method and system for analyzing historical medical provider billings to statistically establish a normative utilization profile. Comparison of a medical provider's utilization profile with a normative profile is enabled. Based on historical treatment patterns and a fee schedule, an accurate model of the cost of a specific medical episode can be created. Various treatment patterns for a particular diagnosis can be compared by treatment cost and patient outcome to determine the most cost-effective treatment approach. It is also possible to identify those medical providers who provide treatment that does not fall within the statistically established treatment patterns or profiles.

Abstract: A method and system for analyzing historical medical provider billings to statistically establish a normative utilization profile. Comparison of a medical provider's utilization profile with a normative profile is enabled. Based on historical treatment patterns and a fee schedule, an accurate model of the cost of a specific medical episode can be created. Various treatment patterns for a particular diagnosis can be compared by treatment cost and patient outcome to determine the most cost-effective treatment approach. It is also possible to identify those medical providers who provide treatment that does not fall within the statistically established treatment patterns or profiles.