Method and apparatus for processing medical data

• US 10,068,668 B2
• Filed: 02/21/2014
• Issued: 09/04/2018
• Est. Priority Date: 02/28/2013
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Cao, Feng, Li, Xiang, Mei, Jing, Ni, Yuan, Shen, Weijia, Sun, Wen
• Primary Examiner(s): Seoh, Minnah L
• Application Number:
  US14/186,079
• Publication Number:
  US 20140244299A1
• Time in Patent Office: 1,656 Days
• 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
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

Method and apparatus for processing medical data. The method for processing indication conditions includes obtaining a plurality of predetermined indication conditions which relate to a plurality of parameters and forming a plurality of conditional segments based on respective values of the plurality of parameters, which respectively correspond to a plurality of combinations of value ranges of the plurality of parameters. The method for processing patient data includes obtaining distribution information of the patient data in the plurality of conditional segments formed above and determining a matching relationship of patient data with at least one indication condition. The apparatuses correspond to the methods. Based on this, a matching relation of patient data with the plurality of indication conditions is determined directly based on distribution of patient data in respective conditional segments, which reduces/avoids chances of inefficiency caused by multiple data acquisitions, conversions, and analysis and improves processing efficiency of patient data.

Claims

1. A computer implemented method for processing a plurality of medical indication conditions on a computer that includes a processor communicatively coupled to a memory, the method comprising:

obtaining a plurality of predetermined indication conditions which relate to a plurality of parameters;

forming a plurality of conditional segments based on respective values of said plurality of parameters defined in said plurality of predetermined indication conditions,

wherein each conditional segment of said plurality of conditional segments corresponds to a combination of different value ranges of respective parameters of said plurality of parameters,

wherein said plurality of predetermined indication conditions comprise a measurement item, a reference standard, a time period, a measurement condition, and a measurement manner, and

wherein the forming said plurality of conditional segments includes associating the measurement item with the reference standard, said associating being defined in the predetermined indication conditions;

obtaining distribution information of patient data in respective conditional segments;

determining a matching of the patient data with the predetermined indication conditions based on the distribution information of the patient data in the respective conditional segments according to the respective values of said plurality of parameters such that for each of the indication conditions a matching relation of the patient data is determined based on the distributed information of the patient data; and

linking the predetermined indication conditions to the patient data through the conditional segments to analyze the patient data based on the matching,

wherein the forming said plurality of conditional segments comprises;

dividing conditional segments of a higher level of the conditional segments to form a new level of conditional segments.

2. The computer implemented method according to claim 1, wherein the forming said plurality of conditional segments further comprises:

selecting a first parameter from said plurality of parameters to form a first level of conditional segments based on values of said first parameter defined in said plurality of indication conditions;

selecting an another parameter from the rest of said plurality of parameters to form a plurality of range segments based on values of said another parameter defined in said plurality of indication conditions,

wherein the forming said plurality of range segments and the forming said new level of conditional segments are executed repeatedly until all said plurality of parameters are processed and said new level of conditional segments formed then is determined as said plurality of conditional segments.

3. The computer implemented method according to claim 2, wherein the combining said plurality of range segments with said higher level of conditional segments comprises:

combining said plurality of range segments with said higher level of conditional segments by taking into consideration an association between said plurality of parameters defined in said plurality of indication conditions.

20. The computer implemented method according to claim 1, wherein said determining comprises directly determining the matching of the patient data with the predetermined indication conditions based on the distribution information of the patient data in the respective conditional segments.

4. A computer implemented method for processing a plurality of patient data, wherein the computer includes a processor communicatively coupled to a memory, the method comprising:

obtaining a plurality of predetermined indication conditions which relate to a plurality of parameters;

forming a plurality of conditional segments based on respective values of said plurality of parameters defined in said plurality of predetermined indication conditions, wherein each conditional segment of said plurality of conditional segments corresponds to a combination of different value ranges of respective parameters of said plurality of parameters,

obtaining distribution information of said plurality of patient data in said plurality of conditional segments formed directed to said plurality of predetermined indication conditions,

wherein said plurality of predetermined indication conditions comprise a measurement item, a reference standard, a time period, a measurement condition, and a measurement manner, and

wherein the forming said plurality of conditional segments includes associating the measurement item with the reference standard, said associating being defined in the predetermined indication conditions,

determining a matching the patient data with the predetermined indication conditions based on the distribution information of the patient data in the respective conditional segments according to the respective values of said plurality of parameters such that for each of the indication conditions a matching relation of the patient data is determined based on the distributed information of the patient data; and

linking the predetermined indication conditions to the patient data through the conditional segments to analyze the patient data based on the matching,

wherein the forming said plurality of conditional segments comprises;

dividing conditional segments of a higher level of the conditional segments to form a new level of conditional segments.

5. The computer implemented method according to claim 4, wherein the obtaining said distribution information comprises:

counting a number of said plurality of patient data falling into a corresponding conditional segment using a plurality of counters set for said plurality of conditional segments; and

obtaining said distribution information of said plurality of patient data in said corresponding conditional segment by reading a counting of said plurality of counters set for said plurality of conditional segments.

6. The computer implemented method according to claim 4, further comprising:

determining a required patient data based on said plurality of indication conditions,

wherein the obtaining said distribution information comprises determining distribution of said required patient data in said plurality of conditional segments.

7. The computer implemented method according to claim 6, wherein the determining said required patient data comprises:

determining said required patient data based on a union of value ranges of an at least one parameter in said plurality of parameters defined in said plurality of indication conditions.

8. The computer implemented method according to claim 7, wherein the determining said required patient data further comprises:

determining a first data portion based on said union of value ranges of a first parameter in said plurality of parameters in said plurality of indication conditions;

determining a second data portion based on said union of value ranges of a second parameter in said plurality of parameters in said plurality of indication conditions; and

determining an intersection of said first data portion and said second data portion as said required patient data.

9. The computer implemented method according to claim 6, wherein the determining said required patient data comprises:

determining a plurality of data portions required by a respective indication condition based on a plurality of definitions of respective indication conditions; and

obtaining a union of said data portions required by said respective indication conditions as said required patient data.

10. The computer implemented method according to claim 4, wherein the determining said matching relation of said plurality of patient data with said at least one indication condition of said plurality of indication conditions based on said distribution information comprises:

converting said at least one indication condition into an operation of data distribution of an at least one condition segment; and

determining said matching relation of said plurality of patient data with said at least one indication condition based on said data distribution of said at least one conditional segment.

11. An apparatus for processing medical indication conditions, said apparatus comprising:

an indication condition obtaining unit configured to obtain a plurality of predetermined indication conditions which relate to a plurality of parameters;

a conditional segment forming unit configured to form a plurality of conditional segments based on respective values of said plurality of parameters defined in said plurality of predetermined indication conditions,

wherein each conditional segment of said plurality of conditional segments corresponds to a combination of different value ranges of respective parameters of said plurality of parameters,

wherein said plurality of predetermined indication conditions comprise a measurement item, a reference standard, a time period, a measurement condition, and a measurement manner, and

wherein the conditional segment forming unit associates the measurement item with the reference standard, said associating being defined in the predetermined indication conditions; and

a processor coupled to a memory device executing instructions for;

obtaining distribution information of patient data in respective conditional segments;

determining a matching of the patient data with the predetermined indication conditions based on the distribution information of the patient data in the respective conditional segments according to the respective values of said plurality of parameters such that for each of the indication conditions a matching relation of the patient data is determined based on the distributed information of the patient data; and

linking the predetermined indication conditions to the patient data through the conditional segments to analyze the patient data based on the matching,

wherein the conditional segment forming unit forms said plurality of conditional segments by dividing conditional segments of a higher level of the conditional segments to form a new level of conditional segments.

12. The apparatus according to claim 11, wherein said conditional segment forming unit comprises:

a first level forming module configured to select a first parameter from said plurality of parameters to form a first level of conditional segments based on values of said first parameter defined in said plurality of indication conditions;

a range segment forming module configured to select an another parameter from the rest of said plurality of parameters to form a plurality of range segments based on values of said another parameter defined in said plurality of indication conditions,

wherein said range segment forming module and said combining module are executed repeatedly until all said plurality of parameters are processed and said new level of conditional segments formed then is determined as said plurality of conditional segments.

13. The apparatus according to claim 12, wherein the combining module is configured to combine said plurality of range segments with said higher level of conditional segments by taking into consideration an association between said plurality of parameters defined in said plurality of indication conditions.

14. An apparatus for processing patient data, said apparatus comprising:

an indication condition obtaining unit configured to obtain a plurality of predetermined indication conditions which relate to a plurality of parameters;

a conditional segment forming unit configured to form a plurality of conditional segments based on respective values of said plurality of parameters defined in said plurality of predetermined indication conditions, wherein each conditional segment of said plurality of conditional segments corresponds to a combination of different value ranges of respective parameters of said plurality of parameters;

a distribution obtaining unit configured to obtain distribution information of the patient data in said plurality of conditional segments formed directed to said plurality of predetermined indication conditions,

wherein said plurality of predetermined indication conditions comprise a measurement item, a reference standard, a time period, a measurement condition, and a measurement manner,

wherein the conditional segment forming unit associates the measurement item with the reference standard, said associating being defined in the predetermined indication conditions; and

a processor coupled to a memory device executing instructions for;

determining a matching of the patient data with the predetermined indication conditions based on the distribution information of the patient data in the respective conditional segments according to the respective values of said plurality of parameters such that for each of the indication conditions a matching relation of the patient data is determined based on the distributed information of the patient data; and

linking the predetermined indication conditions to the patient data through the conditional segments to analyze the patient data based on the matching,

wherein the conditional segment forming unit forms said plurality of conditional segments by dividing conditional segments of a higher level of the conditional segments to form a new level of conditional segments.

15. The apparatus according to claim 14, wherein said distribution obtaining unit is configured to:

count numbers of the patient data falling into a corresponding conditional segment using a plurality of counters set for said plurality of conditional segments; and

obtain said distribution information of the patient data in said corresponding conditional segment by reading a counting of said plurality of counters set for said plurality of conditional segments.

16. The apparatus according to claim 14, further comprising a data determining unit configured to:

determine a required patient data based on said plurality of indication conditions,

wherein the distribution obtaining unit is configured to determine distribution of said required patient data in said plurality of conditional segments.

17. The apparatus according to claim 16, wherein the data determining unit is configured to determine said required patient data based on a union of value ranges of an at least one parameter in said plurality of parameters defined in said plurality of indication conditions, and

wherein said data determining unit is configured to:

determine a first data portion based on said union of value ranges of a first parameter in said plurality of parameters in said plurality of indication conditions;

determine a second data portion based on said union of value ranges of a second parameter in said plurality of parameters in said plurality of indication conditions; and

determine an intersection of said first data portion and said second data portion as said required patient data.

18. The apparatus according to claim 16, wherein said data determining unit is configured to:

determine a plurality of data portions required by a respective indication conditions based on a plurality of definitions of respective indication conditions; and

obtain a union of said data portions required by said respective indication conditions as said required patient data.

19. The apparatus according to claim 14, wherein said matching determining unit is configured to:

convert said at least one indication condition into an operation of data distribution of an at least one condition segment; and

determine said matching relation of the patient data with said at least one indication condition based on said data distribution of said at least one conditional segment.