Automated mapping of service codes in healthcare systems

• US 10,565,315 B2
• Filed: 05/10/2019
• Issued: 02/18/2020
• Est. Priority Date: 09/28/2012
• Status: Active Grant

• Current Assignee: Cerner Innovation, Inc. (Oracle Corporation)
• Original Assignee: Cerner Innovation, Inc. (Oracle Corporation)
• Inventors: Farooq, Faisal, Rahmanian, Farbod, Overhage, Joseph Marcus, Fung, Glenn, Yu, Shipeng, Rao, Bharat R., Krishnapuram, Balaji, DeHaan, Jan
• Primary Examiner(s): Pauls, John A
• Application Number:
  US16/409,330
• Publication Number:
  US 20190266243A1
• Time in Patent Office: 284 Days
• CPC Class Codes: G06F 40/30 Semantic analysis
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

Mapping of semantics in healthcare may involve accessing first transaction data in a first database, the first transaction data corresponding to a collection of a first number of fields defined for a condition using a first semantic system to store information and calculating a first distribution of information in the first transaction data. Mapping may also involve accessing second transaction data in a second database, the second transaction data corresponding to a second semantic system different than the first semantic system and the second database comprising a second number of fields using the second semantic system to store information, and calculating a second distribution of information in the second transaction data. The distributions may then be compared and a map relating the semantic systems may be generated and used to communicate between the first and second semantic systems.

Claims

1. A method for automatic mapping of semantics in healthcare, the method comprising:

accessing first transaction data in a first database, the first transaction data corresponding to a collection of a first number of fields using a first semantic system to store information;

calculating, by a processor, a first distribution of information in the first transaction data;

accessing second transaction data in a second database, the second transaction data corresponding to a second semantic system different than the first semantic system and the second database comprising a second number of fields using the second semantic system to store information;

calculating, by the processor, a second distribution of information in the second transaction data;

comparing, by the processor, the first and second distributions;

generating a map relating the first number of fields using the first semantic system to information of the second number of fields using the second semantic system, the map being a function of the comparing; and

using the map, communicating information between the first and second semantic systems.

2. The method of claim 1, wherein outputting the map comprises outputting a map involving a translation of the second number of fields into the first semantic system as used in the first number of fields.

3. The method of claim 1, wherein accessing the second transaction data comprises accessing at least one unstructured data field.

4. The method of claim 1, further comprising:

extracting the second number of fields;

translating the extracted information from the first semantic system to the second semantic system; and

updating the first database with the extracted and translated information.

5. The method of claim 4, wherein the map comprises formatting requirements for information of the collection of the first number of fields of the first database, and wherein the translating further comprises modifying the extracted information to conform with the formatting requirements.

6. The method of claim 1, wherein the collection of the first number of fields are defined using information developed from categories of requirements selected from insurance requirements, clinical requirements, regulatory body requirements, business requirements, or combinations thereof.

7. The method of claim 1 wherein accessing the first and second transaction data in the first and second databases comprises accessing computerized orders, results, or services of the first and second semantic systems, the first and second databases being separate or a same database.

8. The method of claim 1 wherein comparing comprises determining statistical similarity of the first distribution with the second distribution and other distributions calculated from the second transaction data.

9. The method of claim 1 wherein comparing comprises comparing with the first and second distributions, linguistic information, number of associated characteristics, and data field characteristics.

10. The method of claim 1 wherein outputting the map comprises outputting semantic links between variables, values, or variables and values for a first dataset with variables, values, or variables and values for a second dataset.

11. The method of claim 1 wherein outputting the map comprises outputting the map with one-to-one semantic linking of all values, variables, or values and variables of a predetermined set, the comparing and outputting performed without user selection.

12. The method of claim 1, wherein the first transaction data is a subset of a total transaction data in the first database, the method further comprising:

excluding fields of the total transaction data from the accessing, calculating, and comparing.

13. A system for automatic mapping of semantics in healthcare, the system comprising:

at least one memory operable to store first transaction data in a first database, the first transaction data corresponding to a collection of a first number of fields using a first semantic system to store information, and second transaction data in a second database, the second transaction data corresponding to a second semantic system different than the first semantic system and the second database comprising a second number of fields using the second semantic system to store information; and

a processor configured to;

calculate a first distribution of information in the first transaction data;

calculate a second distribution of information in the second transaction data;

compare the first and second distributions;

generate a map relating the first transaction data associated with a first selected one of the variables, values, or variables and values of the first transaction data of the first semantic system to the second transaction data associated with the second selected one of the variables, values, or variables and values of the second transaction data of the second semantic system, the map being a function of the comparing; and

using the map, communicating information between the first and second semantic systems.

14. The system of claim 13, wherein the processor is configured to calculate distributions from unstructured data of at least one of the second number of fields.

15. The system of claim 13, wherein the processor is further configured to:

extract the second number of fields;

translate the extracted information from the first semantic system to the second semantic system; and

update the first database with the extracted and translated information.

16. The system of claim 15, wherein the map comprises formatting requirements for information of the collection of the first number of fields of the first database, and wherein the processor if further configured to modify the extracted information to conform with the formatting requirements.

17. The system of claim 13, wherein the collection of the first number of fields are defined using information requirements developed from categories of requirements selected from insurance requirements, clinical requirements, regulatory body requirements, business requirements, or combinations thereof.

18. A non-transitory computer readable storage medium having stored therein data representing instructions executable by a programmed processor for mapping of semantics in healthcare, the storage medium comprising instructions to:

access first transaction data in a first database, the first transaction data corresponding to a collection of a first number of fields using a first semantic system to store information, wherein accessing the first transaction data in the first semantic system, comprises accessing the first transaction data representing variables, values for the variables, or the variables and the values for the variables;

generate a first distribution of information in the first transaction data;

access second transaction data in a second database, the second transaction data corresponding to a second semantic system different than the first semantic system and the second database comprising a second number of fields using the second semantic system to store information, wherein accessing the second transaction data in the second semantic system comprises accessing the second transaction data representing variables, values for the variables, or the variables and the values for the variables labeled differently in the second semantic system than for the first semantic system;

generate a second distribution of information in the second transaction data;

compare the first and second distributions;

create a map relating the first number of fields using the first semantic system to the second number of fields using the second semantic system, the map being a function of the comparing; and

using the map, communicate information between the first and second semantic systems.

19. The non-transitory computer readable storage medium of claim 18, wherein the instructions are further operable to:

extract the second number of fields;

translate the extracted information from the first semantic system to the second semantic system; and

update the first database with the extracted and translated information.

20. The non-transitory computer readable storage medium of claim 19, wherein the map comprises formatting requirements for information of the collection of the first number of fields of the first database, and wherein the instructions are further operable to modify the extracted information to conform with the formatting requirements.