Abstract: Disclosed herein are improved systems, methods, and machine readable media for implementing a service for enriching patient documents using natural language processing and a semantic health taxonomy, among other types of information. Enriched documents may be mined for improved diagnostic coding and health services documentation purposes, for example to identify missed and/or inaccurately coded diagnosis codes and quality gaps.

Abstract: Disclosed herein are improved systems, methods, and machine readable media for implementing a service for enriching patient documents using natural language processing and a semantic health taxonomy, among other types of information. Enriched documents may be mined for improved diagnostic coding and health services documentation purposes, for example to identify missed and/or inaccurately coded diagnosis codes and quality gaps.

Abstract: Disclosed herein are improved systems, methods, and machine readable media for implementing a service for enriching patient documents using natural language processing and a semantic health taxonomy, among other types of information. Enriched documents may be mined for improved diagnostic coding and health services documentation purposes, for example to identify missed and/or inaccurately coded diagnosis codes and quality gaps.

Abstract: A search engine that provides search results which are ordered, in part, based on an automated analysis of the organizational structure of a group of documents, as indicated by the address of the documents, is disclosed. In one embodiment, a bot crawls various websites analyzing documents, and their organizational structure, in an effort to identify documents that have an implicit high quality based on their inclusion in an index. Accordingly, the search engine provides a greater weight in ranking document relevance to those documents that have been included in certain indexes, such as top ten lists, and A-Z lists.

Abstract: A search engine that provides search results which are ordered, in part, based on an automated analysis of the organizational structure of a group of documents, as indicated by the address of the documents, is disclosed. In one embodiment, a bot crawls various websites analyzing documents, and their organizational structure, in an effort to identify documents that have an implicit high quality based on their inclusion in an index. Accordingly, the search engine provides a greater weight in ranking document relevance to those documents that have been included in certain indexes, such as top ten lists, and A-Z lists.

Abstract: Hyperlinks are automatically created and inserted into a subject document at the location of a subject concept within the subject document. The determination of when and where to insert the hyperlinks is made on the basis of associations of the subject concept with one or more object resources (to which the hyperlinks will point) according to semantic relationships between the subject concepts and the object resources as defined by a taxonomy. The hyperlinks may be displayed within a published version of the subject document in response to a cursor-control event.

Abstract: Search result files are synchronized among multiple servers so that each of the servers stores copies of the search result files stored by others of the servers. Such synchronizing may be performed periodically. In cases where search result files stored at different servers have similar labels, older ones of the similarly labeled search result files may be replaced by newer ones thereof at each respective one of the servers during the synchronization process.