Claims Analysis
Total Claims: 14
Claim 1
Independent Claim
141 words
A method of extracting a pre-defined data item from unstructured medical service records stored in a central data processing system and generated by a plurality of service providers, comprising the steps of: storing the unstructured medical service records in a database of the central data processing system for a plurality of individuals having previously sought or received services from at least one of a plurality of service providers, each unstructured medical service record contains a plurality of spatially-organized groupings of unfielded and free form text; identifying each spatially-organized grouping as one of a plurality of structural element designations using a rules-based application predicated at least in part on the structural element designations and a document type associated with a particular service provider; and extracting the pre-defined data item from one of the plurality of spatially-organized groupings by executing the rules-based application.
Claim 2
Independent Claim
141 words
A method of extracting a pre-defined data item from unstructured medical service records stored in a central data processing system and generated by a plurality of service providers, comprising the steps of: storing the unstructured medical service records in a database of the central data processing system for a plurality of individuals having previously sought or received services from at least one of a plurality of service providers, each unstructured medical service record contains a plurality of spatially-organized groupings of unfielded and free form text; identifying each spatially-organized grouping as one of a plurality of structural element designations using a rules-based application predicated at least in part on the structural element designations and a document type associated with a particular service provider; and extracting the pre-defined data item from one of the plurality of spatially-organized groupings by executing the rules-based application.
Claim 3
Dependent Claim
38 words
The method of claim 1 wherein the step of identifying the spatially-organized groupings further includes identifying one of the plurality of generic structural element designations from the group header, title, subject, footer and a plurality of body sections.
Claim 4
Dependent Claim
30 words
The method of claim 1 wherein the step of extracting the pre-defined data item includes identifying medically relevant data, demographic information and a medical record number associated with the individual.
Claim 5
Dependent Claim
37 words
The method of claim 1 wherein the step of extracting the pre-defined data item further includes developing rules utilized by the rule-based application from information provided by the service providers or a previous unstructured medical service record.
Claim 6
Dependent Claim
47 words
The method of claim 1 further comprising the step of forming a TAG file including: developing generic terms indicative of the structural element designations; inserting the extracted pre-defined data items adjacent to the generic terms associated therewith; and linking the TAG file to the medical service record.
Claim 7
Dependent Claim
64 words
The method of claim 5 wherein the step of extracting the pre-defined data item further includes: obtaining rules from the rules-based application for extraction of the pre-defined data item from the unstructured medical service record; executing the rules to obtain the pre-defined data item; storing the acceptable pre-defined data item in the TAG file; and linking the TAG file to the medical service record.
Claim 8
Dependent Claim
51 words
The method of claim 1 wherein the step of identifying each spatially-organized grouping includes the steps of: removing stop words from the medical service record such that keywords remain in the medical service record; storing the keywords in a keyword file; and associating the keyword file to the medical service record.
Claim 9
Dependent Claim
26 words
The method of claim 1 wherein the step of identifying each of the spatially-organized groupings includes identifying the document type by utilizing the structural element designations.
Claim 10
Dependent Claim
63 words
The method of claim 1 further comprising: creating a new medical service record associated with the medical service record in the database, said new medical service record includes a plurality of data fields; populating the data fields of the new medical service record with the extracted pre-defined data; and storing the new medical service record in a document repository using a document handle.
Claim 11
Independent Claim
222 words
A method of extracting medically related information and demographic information from unstructured medical service records stored in a central data processing system and generated by a plurality of service providers, comprising the steps of: storing the unstructured medical service records in a database of the central data processing system for a plurality of individuals having previously sought or received services from at least one of a plurality of service providers, each unstructured medical service record contains a plurality of spatially-organized groupings of unfielded and free form text; identifying each spatially-organized grouping as one of a plurality of structural element designations using a rules-based application predicated at least in part on the structural element designations and a document type associated with a particular service provider; developing rules utilized by the rule-based application from information provided by the service providers or a previous unstructured medical service record; extracting the medically relevant information and demographic information from one of the plurality of spatially-organized groupings by executing the rules-based application; creating a new medical service record associated with the medical service record in the database, said new medical service record includes a plurality of data fields; populating the data fields of the new medical service record with the extracted pre-defined data; and storing the new medical service record in a document repository using a document handle.
Claim 12
Independent Claim
222 words
A method of extracting medically related information and demographic information from unstructured medical service records stored in a central data processing system and generated by a plurality of service providers, comprising the steps of: storing the unstructured medical service records in a database of the central data processing system for a plurality of individuals having previously sought or received services from at least one of a plurality of service providers, each unstructured medical service record contains a plurality of spatially-organized groupings of unfielded and free form text; identifying each spatially-organized grouping as one of a plurality of structural element designations using a rules-based application predicated at least in part on the structural element designations and a document type associated with a particular service provider; developing rules utilized by the rule-based application from information provided by the service providers or a previous unstructured medical service record; extracting the medically relevant information and demographic information from one of the plurality of spatially-organized groupings by executing the rules-based application; creating a new medical service record associated with the medical service record in the database, said new medical service record includes a plurality of data fields; populating the data fields of the new medical service record with the extracted pre-defined data; and storing the new medical service record in a document repository using a document handle.
Claim 13
Independent Claim
167 words
A method of extracting pre-defined data items from unstructured medical service records stored in a central data processing system and generated by a plurality of service providers, comprising the steps of: storing the unstructured medical service records in a database of the central data processing system for a plurality of individuals having previously sought or received services from at least one of a plurality of service providers, each unstructured medical service record contains a plurality of spatially-organized groupings including a header, title, subject, footer and a plurality of body sections; identifying each spatially-organized grouping as one of a plurality of structural element designations using a rules-based application predicated at least in part on the structural element designations and a document type associated with a particular service provider; developing rules utilized by the rule-based application from information provided by the service providers or a previous unstructured medical service record; and extracting the pre-defined data item from one of the plurality of spatially-organized groupings by executing the rules-based application.
Claim 14
Independent Claim
167 words
A method of extracting pre-defined data items from unstructured medical service records stored in a central data processing system and generated by a plurality of service providers, comprising the steps of: storing the unstructured medical service records in a database of the central data processing system for a plurality of individuals having previously sought or received services from at least one of a plurality of service providers, each unstructured medical service record contains a plurality of spatially-organized groupings including a header, title, subject, footer and a plurality of body sections; identifying each spatially-organized grouping as one of a plurality of structural element designations using a rules-based application predicated at least in part on the structural element designations and a document type associated with a particular service provider; developing rules utilized by the rule-based application from information provided by the service providers or a previous unstructured medical service record; and extracting the pre-defined data item from one of the plurality of spatially-organized groupings by executing the rules-based application.