SYSTEM AND METHOD FOR OPTIMIZING AND ROUTING HEALTH INFORMATION

• US 20140200916A1
• Filed: 01/23/2014
• Published: 07/17/2014
• Est. Priority Date: 09/01/2010
• Status: Active Grant

• Current Assignee: Apixio LLC
• Original Assignee: Apixio, Inc. (Centene Corporation)
• Inventors: Chaudhri, Imran N., Dastmalchi, Shahram Shawn, Rogers, Robert Derward, Sethumadhavan, Vishnuvyas, Campana, Mary Ellen
• Granted Patent: US 9,703,927 B2
• Time in Patent Office: Days
• US Class Current: 705/2
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 20/00 ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: G16H 70/60 relating to pathologies

Abstract

A method is disclosed to receive health information request (HIR), including health information request query (HIRQ) and health information request data (HIRD), and to metatag the received HIR. The metatagged HIR is reconciled based on a semantic concept and HIRS is returned.

Claims

1. (canceled)

2. In a medical information navigation engine (MINE), a computerized method of transacting health information comprising:

receiving a health information request (HIR) from a user;

retrieving and meta-tagging health information in response to the HIR using a medical information navigation engine (MINE), wherein meta-tagging the health information includes identifying and tagging medical concepts associated with the meta-tagged health information;

creating multi-dimensional relationships between the medical concepts using the MINE, wherein the multi-dimensional relationships indicate relevancy of apixions along dimensions of the multi-dimensional relationships; and

wherein the meta-tagged health information is reconciled by mapping based on at least one semantic concept; and

providing relevant health information based on the multi-dimensional relationships to the user.

3. The computerized method of claim 2 wherein the reconciliation includes at least one lexical search, and wherein at least one textual patient record is searched for occurrence of search term, its variants and synonyms, and the reconciliation further includes at least one concept search wherein data that is medically related to the search term is retrieved.

4. The computerized method of claim 2 further comprising consolidating and de-duplicating data, thereby removing redundant medical information.

5. The computerized method of claim 2 wherein the reconciliation includes using a set of explicit rules for fuzzy matching of the data items or referencing default rules.

6. The computerized method of claim 2 wherein the reconciliation includes recursively organizing data items into groups based on fuzzy matching of the semantic concepts represented by the data and further organizes the items within each group according to properties defined in the query.

7. The computerized method of claim 2 wherein the at least on semantic concept includes at least one medical concept, such as medications, allergies, problems and diagnoses, procedures, immunizations, measurements, observations, and symptoms.

8. The computerized method of claim 2 further comprising augmenting, disambiguating and filtering of health information, and wherein the health information includes documentation such as structured data and annotated textual data.

9. The computerized method of claim 8 further comprising translating the health information, and wherein the translating, augmenting and filtering of the health information includes support for wiki-base crown-source quality control of information thereby enabling the health information to be more actionable by increasing revenue, quality of care and patient safety, and reducing cost.

10. The computerized method of claim 2 further comprising transforming of the health information, and wherein the transformation includes converting concepts from one coding system.

11. A medical information navigation engine (MINE) configured to transact health information, the MINE comprising:

a processor configured to meta-tag health information in response to a health information request (HIR) from a user, wherein the meta-tagging of the health information includes identifying and tagging medical concepts associated with the meta-tagged health information;

a mapper configured to create multi-dimensional relationships between the medical concepts, wherein the multi-dimensional relationships indicate relevancy of apixions along dimensions of the multi-dimensional relationships, and wherein the meta-tagged health information is reconciled by mapping based on at least one semantic concept; and

a visualizer configured to provide relevant health information based on the multi-dimensional relationships to the user.

12. The MINE of claim 11 wherein the reconciliation includes at least one lexical search, and wherein at least one textual patient record is searched for occurrence of search term, its variants and synonyms, and the reconciliation further includes at least one concept search wherein data that is medically related to the search term is retrieved.

13. The MINE of claim 11 wherein the processor is further configured to consolidate and de-duplicate data, thereby removing redundant medical information.

14. The MINE of claim 11 wherein the reconciliation includes using a set of explicit rules for fuzzy matching of the data items or referencing default rules.

15. The MINE of claim 11 wherein the reconciliation includes recursively organizing data items into groups based on fuzzy matching of the semantic concepts represented by the data and further organizes the items within each group according to properties defined in the query.

16. The MINE of claim 11 wherein the at least on semantic concept includes at least one medical concept, such as medications, allergies, problems and diagnoses, procedures, immunizations, measurements, observations, and symptoms.

17. The MINE of claim 11 wherein the processor is further configured to augment, disambiguate and filter health information, and wherein the health information includes documentation such as structured data and annotated textual data.

18. The MINE of claim 17 wherein the processor is further configured to translate the health information, and wherein the translation, augmentation and filtration of the health information includes support for wiki-base crown-source quality control of information thereby enabling the health information to be more actionable by increasing revenue, quality of care and patient safety, and reducing cost.

19. The MINE of claim 11 wherein the processor is further configured to transform the health information, and wherein the transformation includes converting concepts from one coding system.