Systems and Methods for Medical Concept Mapping

1 . A medical concept code analysis system comprising:

a medical terminology source;

at least one processor configured to access the medical terminology source and configured to:

receive interface terminology concept code information associated with a plurality of interface terminology concept codes;

receive public concept code information associated with a plurality of public concept codes;

generate annotations for the plurality of public concept codes based on the public concept code information by determining a string and/or substring of a description associated with each public concept code contains an annotation that align with one or more predetermined annotation categories;

associate the annotations with the plurality of interface terminology concept codes; and

cause the interface terminology concept codes and the annotations to be output.

2 . The system of claim 1 , wherein the causing the interface terminology concept codes and the annotations to be output comprises outputting the interface terminology concept codes and the annotations to a storage database.

3 . The system of claim 1 , wherein the annotation categories include at least one of finding, disorder, event, procedure, qualifier, body structure, substance, situation, context, attribute, morphology, observable entity, disposition, organism, or specimen.

4 . The system of claim 1 , wherein the generating annotations comprises searching the description associated with each public concept code for one or more values that fall into at least one of the annotation categories.

5 . The system of claim 1 , wherein the public concept codes are SNOMED CT codes.

6 . A medical concept code analysis method in a non-transitory computer readable medium, the method comprising:

receiving interface terminology concept code information associated with a plurality of interface terminology concept codes;

receiving public concept code information associated with a plurality of public concept codes;

generating annotations for the plurality of public concept codes based on the public concept code information by determining a string and/or substring of a description associated with each public concept code contains an annotation that align with one or more predetermined annotation categories;

associating the annotations with the plurality of interface terminology concept codes; and

causing the interface terminology concept codes and the annotations to be output.

7 . The method of claim 6 , wherein the causing the interface terminology concept codes and the annotations to be output comprises outputting the interface terminology concept codes and the annotations to a storage database.

8 . The method of claim 6 , wherein the annotation categories include at least one of finding, disorder, event, procedure, qualifier, body structure, substance, situation, context, attribute, morphology, observable entity, disposition, organism, or specimen.

9 . The method of claim 6 , wherein the generating annotations comprises searching the description associated with each public concept code for one or more values that fall into at least one of the annotation categories.

10 . The method of claim 6 , wherein the public concept codes are SNOMED CT codes.

11 . A medical concept code analysis system comprising:

a medical terminology source;

at least one processor configured to access the medical terminology source and configured to:

receive public concept code information associated with a plurality of public concept codes arranged in a hierarchy;

flatten the hierarchy;

receive interface terminology concept code information associated with a plurality of interface terminology concept codes, each of the plurality of interface terminology concept codes being associated with at least one of the plurality of public concept codes;

receive inclusion criteria and exclusion criteria;

generate a valueset of interface terminology concept codes based on the inclusion criteria and exclusion criteria; and

cause the valueset to be output.

12 . The system of claim 11 , wherein the hierarchy comprises a central public concept node having a plurality of parent public concept nodes and a plurality of child public concept nodes.

13 . The system of claim 11 , wherein the inclusion criteria comprises a number of keywords, attributes, and operators used to keep relevant interface terminology concept codes in a valueset.

14 . The system of claim 11 , wherein the exclusion criteria comprises a number of keywords, attributes, and operators used to filter irrelevant interface terminology concept codes out of the valueset.

15 . The system of claim 11 , wherein the valueset is output to a storage database.

16 . A medical concept code analysis method in a non-transitory computer readable medium, the method comprising:

receiving public concept code information associated with a plurality of public concept codes arranged in a hierarchy;

flattening the hierarchy;

receiving interface terminology concept code information associated with a plurality of interface terminology concept codes, each of the plurality of interface terminology concept codes being associated with at least one of the plurality of public concept codes;

receiving inclusion criteria and exclusion criteria;

generating a valueset of interface terminology concept codes based on the inclusion criteria and exclusion criteria; and

causing the valueset to be output.

17 . The method of claim 16 , wherein the hierarchy comprises a central public concept node having a plurality of parent public concept nodes and a plurality of child public concept nodes.

18 . The method of claim 16 , wherein the inclusion criteria comprises a number of keywords, attributes, and operators used to keep relevant interface terminology concept codes in a valueset.

19 . The method of claim 16 , wherein the exclusion criteria comprises a number of keywords, attributes, and operators used to filter irrelevant interface terminology concept codes out of the valueset.

20 . The method of claim 16 , wherein the valueset is output to a storage database.