Abstract: A medical classification code modeling system and method that generates visual maps in response to user queries, where the visual maps represent combinations of modifiers of an interface terminology that, taken together, map to medical classification code elements. The system and method may present multiple visual maps on the same display to permit visual analysis of multiple mapping revisions or versions. The system and method further may integrate into an electronic health record such that the user's ultimate selection of a mapping results in the corresponding medical classification code being inserted into the record of a patient at an appropriate location, such as on the patient's problem list.

Abstract: A method for implementing an interface terminology is described, the interface terminology comprising concepts and descriptions, a description being an alternative way to express a concept. The interface terminology also may include a plurality of domains, wherein each concept is unique within a domain. The method may include the steps of: storing a plurality of concepts in a database; storing a plurality of descriptions in a database; linking each description to a respective concept; storing an external code set in a database, the external code set comprising a plurality of external codes; and mapping an external code to a concept. The steps may occur via database table mapping. The method also may include deploying a front-end file, the front-end file comprises a link between the descriptions and the external code set.

Abstract: A medical classification code modeling system and method that generates visual maps in response to user queries, where the visual maps represent combinations of modifiers of an interface terminology that, taken together, map to medical classification code elements. The system and method may present multiple visual maps on the same display to permit visual analysis of multiple mapping revisions or versions. The system and method further may integrate into an electronic health record such that the user's ultimate selection of a mapping results in the corresponding medical classification code being inserted into the record of a patient at an appropriate location, such as on the patient's problem list.

Abstract: A system and method for searching and presenting data may include receiving a search request, storing data in an in memory database, accessing that data by one or more 64 bit processors, determining exact or approximate matches among the data to the search request, building a machine-readable data file including the search results, and serving the data file to a user's machine, where it is visible through a portal interface, which may be local or remotely served to the user's machine. The system may employ 64 bit technology in order to access and serve significant amounts of information, including mappings between code set and other data that may include mappings to one or more code sets. The system also may employ raw TCP/IP sockets to reduce latency and increase search speed.

Abstract: A method for implementing an interface terminology is described, the interface terminology comprising concepts and descriptions, a description being an alternative way to express a concept. The interface terminology also may include a plurality of domains, wherein each concept is unique within a domain. The method may include the steps of: storing a plurality of concepts in a database; storing a plurality of descriptions in a database; linking each description to a respective concept; storing an external code set in a database, the external code set comprising a plurality of external codes; and mapping an external code to a concept. The steps may occur via database table mapping. The method also may include deploying a front-end file, the front-end file comprises a link between the descriptions and the external code set.

Abstract: A system and method for searching and presenting data may include receiving a search request, storing data in an in memory database, accessing that data by one or more 64 bit processors, determining exact or approximate matches among the data to the search request, building a machine-readable data file including the search results, and serving the data file to a user's machine, where it is visible through a portal interface, which may be local or remotely served to the user's machine. The system may employ 64 bit technology in order to access and serve significant amounts of information, including mappings between code set and other data that may include mappings to one or more code sets. The system also may employ raw TCP/IP sockets to reduce latency and increase search speed.

Abstract: A method for implementing an interface terminology is described, the interface terminology comprising concepts and descriptions, a description being an alternative way to express a concept. The interface terminology also may include a plurality of domains, wherein each concept is unique within a domain. The method may include the steps of: storing a plurality of concepts in a database; storing a plurality of descriptions in a database; linking each description to a respective concept; storing an external code set in a database, the external code set comprising a plurality of external codes; and mapping an external code to a concept. The steps may occur via database table mapping. The method also may include deploying a front-end file, the front-end file comprises a link between the descriptions and the external code set.

Abstract: A method for mapping and identifying entity information in a system that includes a database. A client application sends client entity attributes to the system that includes a database The system compares the attributes of the client entity with each of the system entities stored in the system database. Based on the results of the comparison, a score is calculated for the relevance between the client entity and each entity stored in the system. To perform this calculation, a multi-membership Bayesian function is used. Once the scores are computed, they are classified into three confidence zones based on predetermined threshold values. The client attributes are inserted into the system database. These attributes then are connected either to an existing system entity, or are connected to a new system entity that is created.

Abstract: A method for mapping and identifying entity information in a system that includes a database. A client application sends client entity attributes to the system that includes a database The system compares the attributes of the client entity with each of the system entities stored in the system database. Based on the results of the comparison, a score is calculated for the relevance between the client entity and each entity stored in the system. To perform this calculation, a multi-membership Bayesian function is used. Once the scores are computed, they are classified into three confidence zones based on predetermined threshold values. The client attributes are inserted into the system database. These attributes then are connected either to an existing system entity, or are connected to a new system entity that is created.