HEALTHCARE MANAGEMENT APPARATUS, HEALTHCARE MANAGEMENT METHOD, AND DISPLAY METHOD OF DETERMINATION RESULTS

• US 20100233793A1
• Filed: 03/12/2010
• Published: 09/16/2010
• Est. Priority Date: 03/13/2009
• Status: Abandoned Application

• Current Assignee: Sharp Kabushiki Kaisha (Hon Hai Precision Industry Co., Ltd.)
• Original Assignee: Sharp Kabushiki Kaisha (Hon Hai Precision Industry Co., Ltd.)
• Inventors: TSUTSUI, Ai, Mikata, Junko, Cho, Seung-jin
• Application Number:
  US12/723,304
• Publication Number:
  US 20100233793A1
• Time in Patent Office: Days
• US Class Current: 435/287.100
• CPC Class Codes: G16H 10/40 for data related to laboratory analysis, e.g. patient specimen analysis
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

A healthcare management apparatus for determining a health condition of subjects is provided.

The following configuration realizes the above object.

The healthcare management apparatus includes an acquiring means for acquiring physical data and blood components data of subjects, data conversion formula and data determination criteria; and a processing means for converting the physical data and the blood components data into relative values by using the data conversion formula, and for determining health condition of the subjects by using the data determination criteria.

Preferably, the acquiring means further comprise health assessment formula and health condition determination criteria. The processing means calculates a health condition determination relative values by combining two or more of the relative values and/or the health condition determination relative values and using total health assessment formula and determines a total health condition of subjects by checking the total health condition determination relative values with total health condition determination criteria. The acquiring means also includes a memory and a communication means.

Claims

1. A healthcare management apparatus comprising:

an acquiring means for acquiring physical data and blood components data of subjects, data conversion formula and data determination criteria; and

a processing means for converting the physical data and the blood components data into relative values by using the data conversion formula, and for determining health condition of the subjects by using the data determination criteria.

2. The healthcare management apparatus of claim 1, wherein:

the acquiring means further acquires health assessment formula and health condition determination criteria; and

the processing means combines two or more of the physical data, the blood components data and the relative values to calculate health condition determination relative values using the health assessment formula, and then checks the health condition determination relative values with the health condition determination criteria to determine a risk of progression to lifestyle diseases of subjects.

3. The healthcare management apparatus of claim 2, wherein:

the acquiring means further acquires total health assessment formula and total health condition determination criteria; and

the processing means combines two or more of the relative values and the health condition determination relative values to calculate total health condition determination relative values using the total health assessment formula, and then checks the total health condition determination relative values with the total health condition determination criteria to determine a total health condition of subjects.

4. The healthcare management apparatus of claim 1, wherein:

the acquiring means further acquires identification characters including information on sex, age and race of subjects.

5. The healthcare management apparatus of claim 4, wherein:

the data conversion formula is a pattern table that shows a relationship between measurement values and relative values.

6. The healthcare management apparatus of claim 5, wherein:

multiple kinds of the pattern tables are acquired according to sex, age and race; and

the processing means determines at least one of sex, age and race of subjects, and decides the pattern table to be used.

7. The healthcare management apparatus of claim 1, further comprising an input means.

8. The healthcare management apparatus of claim 1, further comprising a display for displaying determination results.

9. The healthcare management apparatus of claim 8, wherein:

the acquiring means further acquires health improvement method data; and

the processing means checks determination results with the health improvement method data, and lets the display show the determination results as well as a health improvement method corresponding to the determination results.

10. The healthcare management apparatus of claim 9, wherein:

the acquiring means further acquires time course information of determination results; and

the display further shows the time course information.

11. The healthcare management apparatus of claim 1, further comprising a detection instrument performing a blood components analysis

wherein,

the processing means calculates the blood components data from signals detected in the detection instrument.

12. The healthcare management apparatus of claim 1, wherein,

the acquiring means comprises a communication means for acquiring various information via communication lines.

13. A health condition determination method comprising:

a relative values calculating step for converting physical data and/or blood components data into relative values by using a data conversion formula; and

a data determination, step for determining whether the relative values meet data determination criteria or not.

14. The health condition determination method of claim 13 further comprising:

a health condition determination relative values calculating step for calculating relative values used in health condition determination by combining two or more of the relative values and using health assessment formula; and

a health condition determination step for determining a risk of progression to lifestyle diseases of subjects by checking the health condition determination relative values with health condition determination criteria.

16. The health condition determination method of claim 14 further comprising:

a total health condition determination relative values calculating step for calculating relative values used in total health condition determination by combining two or more of the relative values and/or the health condition determination relative values and using total health assessment formula; and

a total health condition determination step for determining a total health condition of subjects by checking the total health condition determination relative values with total health condition determination criteria.

18. The health condition determination method of claim 14, wherein

the health condition determination relative values and/or the relative values include at least one selected from the group consisting of Body Mass Index relative values, metabolic syndrome determination relative values and specific proteins in blood determination relative values.

20. The health condition determination method of claim 18, wherein

blood components data used in the specific proteins in blood determination includes at least one analysis data of adiponectin, leptin, resistin and TNF-α

.

22. The health condition determination method of claim 13, wherein

a pattern table showing a relationship between measurement values and relative values is used as the data conversion formula.

23. The health condition determination method of claim 22 further comprising,

a pattern table deciding step for deciding the pattern table by determining at least one of sex, age and race of subjects.

15. A health condition determination method comprising;

a data determination step for determining whether physical data and/or blood components data of subjects meet data determination criteria or not;

a relative values conversion step for converting the physical data and the blood components data into relative values based on the data determination results;

a health condition determination relative values calculating step for calculating relative values used in health condition determination by combining two or more of the relative values and using health assessment formula; and

a health condition determination step for determining a risk of progression to lifestyle diseases of subjects by checking the health condition determination relative values with health condition determination criteria.

17. The health condition determination method of claim 15 further comprising:

a total health condition determination relative values calculating step for calculating relative values used in total health condition determination by combining two or more of the relative values and/or the health condition determination relative values and using total health assessment formula; and

a total health condition determination step for determining a total health condition of subjects by checking the total health condition determination relative values with total health condition determination criteria.

19. The health condition determination method of claim 15, wherein

the health condition determination relative values and/or the relative values include at least one selected from the group consisting of Body Mass Index relative values, metabolic syndrome determination relative values and specific proteins in blood determination relative values.

21. The health condition determination method of claim 19, wherein

blood components data used in the specific proteins in blood determination includes at least one analysis data of adiponectin, leptin, resistin and TNF-α

.

24. A display method of health condition determination results comprising,

a display step for displaying determination results of the health condition determination method of claim 21 together with a graph showing relative values of the analysis data of adiponectin, leptin, resistin and TNF-α

.

25. The display method of health condition determination results of claim 24,

wherein

the graph is arranged so that indices having a strong degree of the antagonistic relationship and/or correlation are placed adjacently to each other.

26. The display method of health condition determination results of claim 24, further comprising a step for displaying time course information of measurement values of the four components together with the graph.

27. The display method of health condition determination results of claim 24, further comprising a step for displaying a warning message when any determination result of the four components exceeds a criteria value.

28. The display method of health condition determination results of claim 24, further comprising a step for displaying the determination results and a health improvement method of subjects corresponding to the determination results.

29. The display method of health condition determination results of claim 24, further comprising a step for displaying X1Y1, X2Y2, X3Y2 and X4Y1, wherein:

X1 is the adiponectin level;

X2 is the leptin level;

X3 is the resistin level;

X4 is the TNF-α

level; and

Y1 and Y2 are coefficients based on an obesity degree determined from Body Mass Index relative values.

30. The display method of health condition determination results of claim 29, further comprising a step for displaying X1Y1 at the right edge of the waist, X2Y2 at the right edge of the chest, X3Y2 at the left edge of the chest, and X4Y1 at the left edge of the waist in a human-shaped model.

31. The display method of health condition determination results of claim 29, further comprising a step for displaying X1Y1 at the back edge of the waist, X2Y2 at the back edge of the abdomen, X3Y2 at the front edge of the abdomen, and X4Y1 at the front edge of the waist in a human-shaped model.