JP2008302135A - Method and program for processing medical inspection data, and medical inspection data processing system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To evaluate the result values of inspection in total, including all inspection items to be effectively utilized for health guidance, the improvement of a life habit, etc. <P>SOLUTION: When a reference value, a normal range and an abnormal range bordering on the reference value, and the partition number for each of the normal/abnormal ranges are input for each of two or more inspection items in S1, these values are stored in a storage device and the minimum unit, in which the difference of the starting value and finalizing value of each of the normal/abnormal ranges is divided by a corresponding partition number, is determined for each of the inspection items in S2, inspection results are compared with the reference value to be classified into the normal results and the abnormal results for each of the inspection items in S4, the difference of the reference value and result values is divided by the minimum unit to compute a standard value for each of the inspection items in S5, and the standard value is stored in the storage device in S6. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to a processing method, a processing program, and the like for processing medical examination data obtained by a medical examination or the like.

  Medical test data obtained by health checkups are expressed as unique values for each test item such as abdominal circumference, blood sugar level, and neutral fat, and each test item is evaluated for normality or abnormality compared to the reference value. ing. For example, Patent Document 1 discloses a first step of performing statistical analysis on a quantitative test value that can be expressed as a continuous quantity in clinical test data, based on conditions such as sex and age, and a standardized index based on this. There is disclosed an invention for creating a visualization expression graph of clinical test data by a second step of creating and a third step of displaying the clinical test data of the individual to be inspected superimposed on the one created in the second step.

JP 2005-92853 A

  Such a graph makes it easy to determine whether or not the inspection data is in the normal range, but since it is a display for each inspection item to the last, the ratio of inspection items that correspond to abnormalities in all inspection items and the previous time The inspection data of all inspection items, such as the overall comparison with the inspection results, could not be evaluated in total, and it was only used in health guidance for each inspection item.

  Therefore, the present invention is capable of total evaluation including all inspection items as well as normal / abnormal evaluation for each inspection item, and can be used effectively for health guidance and lifestyle improvement. An object of the present invention is to provide an inspection data processing method and processing program, a recording medium, and a processing system.

In order to achieve the above object, the invention according to claim 1 is a method for processing medical examination data, wherein for each of a plurality of examination items, a reference value and a normal range and an abnormal range with the reference value as a boundary. And the first step of setting the number of divisions for each normal / abnormal range and storing it in the storage device, and the difference between the start value and the end value for each normal / abnormal range for each inspection item A second step for obtaining a minimum unit divided by the corresponding number of divisions, a third step for comparing the inspection result with a reference value for each inspection item and classifying the result into a normal result and an abnormal result, and for each inspection item And a fourth step of calculating a standard value by dividing a difference between each reference value and the result value by the minimum unit obtained in the second step and storing the standard value in a storage device. is there.
In addition to the object of claim 1, the invention described in claim 2 stores the standard value in total for each classification of the normal result and the abnormal result in order to more effectively perform the total evaluation of the result value. It has the 5th step stored in an apparatus, It is characterized by the above-mentioned.
In order to achieve the above object, the invention described in claim 3 is a program for processing medical examination data, which causes a computer to execute the method for processing medical examination data described in claim 1 or 2. To do.
In order to achieve the above object, a fourth aspect of the present invention provides a computer-readable recording medium storing the medical examination data processing program according to the third aspect.

In order to achieve the above object, the invention according to claim 5 is a medical examination data processing system, wherein each of a plurality of examination items includes a reference value, a normal range and an abnormal range with the reference value as a boundary. An input means for inputting the number of divisions for each normal / abnormal range, a storage means for storing each numerical value input by the input means, and each normal / abnormal range for each inspection item The minimum unit obtained by dividing the difference between the start value and the end value by the corresponding number of divisions is determined, the test results are compared with the reference values, and are classified into normal results and abnormal results. A standardization unit that calculates a standard value by dividing the difference by the minimum unit and stores the standard value in a storage unit.
In addition to the object of claim 5, the invention according to claim 6 is characterized in that, in order to more effectively perform the total evaluation of the result values, the standardization means adds the standard values for each classification of normal results and abnormal results. And storing in the storage means.

According to the present invention, it is possible to make a total evaluation including all inspection items as well as normal / abnormal evaluation for each inspection item, and it can be effectively used for health guidance, lifestyle improvement and the like. In particular, since standardization is performed using an arbitrarily designated number of divisions, the amount of displacement of the standard value can be adjusted, and a desired standard value suitable for analysis can be obtained.
In particular, according to the invention described in claims 2 and 6, since the sum of the standard values can be obtained for each normal / abnormal range, the total evaluation of the result values can be performed more effectively, and the total value after the inspection. It is possible to easily grasp the change in the individual state of the subject by calculating the transition of.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.
FIG. 1 is a block diagram showing an example of a medical examination data processing system (hereinafter simply referred to as “processing system”) according to the present invention. The processing system 1 includes a CPU 2 that controls the entire system. A storage device 3 such as a hard disk is connected to the CPU 2, and an input device 5 such as a keyboard and a mouse serving as input means, a display device 6 such as a monitor, and an output such as a printer are provided via an input / output control unit 4. Each of the devices 7 is connected. This processing system 1 can be constructed using, for example, a personal computer.
In addition to a basic program such as an OS, the CPU 2 stores a processing program for standardizing the value of the inspection result (hereinafter referred to as “result value”) in the internal memory, and can execute the standardization process. Hereinafter, the standardization process in the processing system 1 will be described based on the flowchart of FIG.

First, in S1, as shown in Table 1, a reference value for each inspection item, a normal range and an abnormal range with the reference value as a boundary, and a division number for each normal / abnormal range are input. . The number of divisions sets a standard value display unit. When the number of divisions is 1, the minimum unit is 1, and when the number of divisions is 2, it is 0.5. That is, if the number of divisions is set with a large value, processing corresponding to a small displacement of the result value is possible, and if the division value is set with a small value, processing corresponding to a large displacement of the result value is possible.

  When the normal / abnormal range and the respective division numbers and the reference value are input in S1, these values are stored in the storage device 3 in S2, and the normal range and the abnormal range inputted, and the respective division numbers. Based on the above, the minimum normal range unit and the abnormal range minimum unit are calculated. Specifically, the difference between the end value and the start value of each range is divided by the number of divisions. The calculation results are as shown in Table 2.

  Next, when the result value of the subject is input for each test item in S3, in S4, the input test value is compared with the reference value and classified into a normal result and an abnormal result. The classification results are shown in Table 3. Information such as the subject's name, gender, age, the date and time of the examination, and the inspection organization can be input here.

  Then, in S5, for the inspection item whose result value is a normal result, the normal result standard value is obtained by the formula of (result value−reference value) / normal range minimum unit, while the result value is an abnormal result. Then, the abnormal result standard value is obtained by a calculation formula of (result value−reference value) / abnormal range minimum unit. However, for the inspection item that becomes abnormal below the reference value, the (result value−reference value) portion is calculated as (reference value−result value). Here, the item of HDL cholesterol corresponds. By these processes, the normal result standard value becomes a negative value and the abnormal result standard value becomes a positive value at the reference value. The respective calculation results are shown in Table 4.

  When the normal result standard value and the abnormal result standard value for each examination item are obtained in this way, in S6, each of these data is stored in the storage device 3 as a standardized file for each subject.

  In this way, if the standard value of each test item is stored for each subject, an arbitrary test item is selected, and the normal result standard value and the abnormal result standard value are added separately to calculate the total value. The average value, maximum value, minimum value, etc. can also be calculated. For example, Table 5 shows the sum of the normal result standard value and the abnormal result standard value and the average value, the maximum value, and the minimum value calculated for the test items excluding the abdominal circumference, and this data can also be stored in the storage device 3. For example, it is possible to extract subjects who satisfy any condition, such as subjects whose normal result standard value or abnormal result standard value falls within a predetermined range, or subjects whose average value falls within a predetermined range.

Therefore, if you specify the range of standard values from the data grouped by specifying all the subjects' data and specific conditions, for example, if you specify a range close to the boundary of abnormal results, it will be standard with a slight improvement in lifestyle It is possible to extract subjects who can normalize values, and conversely, by specifying and extracting values far from the boundary of abnormal results, it is possible to identify subjects who require considerable effort or who are currently undergoing treatment Become. Moreover, if it specifies and extracts in the range close | similar to the boundary of a normal result, it will become possible to extract the abnormal value reserve army, ie, the test subject who is likely to lead to an abnormal result from a slight warning.

  On the other hand, by carrying out such standardization for each examination, it is possible to easily grasp the transition of the total value and the average value for each subject. Table 6 shows the total value of Table 5 as the standard value of the previous test result, and shows the transition from the standard value of this test result divided into normal results and abnormal results. If calculated, the state change of the individual subject becomes clear. For example, if the transition of the total value is negative in the abnormal result standard value transition as shown in this table, the result value is improved from the previous time, and as the negative value increases, efforts to improve lifestyle are more aggressive. Can be judged.

As described above, according to the processing system and the processing method of the above embodiment, not only the normality / abnormality of each inspection item can be evaluated, but also all inspection items can be evaluated in total, such as health guidance and lifestyle improvement. Can be used effectively. In particular, since standardization is performed using an arbitrarily designated number of divisions, the amount of displacement of the standard value can be adjusted, and a desired standard value suitable for analysis can be obtained.
In addition, since the total value of the standard value is obtained for each normal / abnormal range here, the total evaluation of the result value can be performed more effectively, and the transition of the total value after the test can be calculated. Therefore, it is possible to easily grasp the change of the individual state of the subject.

Note that the number of divisions is not limited to the above form, and can be changed as appropriate. The number of divisions can be set by a numerical value after the decimal point in addition to an integer. Of course, the inspection items, the normal / abnormal ranges, the reference values, etc. are not limited to the numerical values in the above form.
Also, the calculation formula for the standard value is set so that the normal result is negative and the abnormal result is positive in the above form, but the reverse is also acceptable.
In addition to calculating the total value, average value, maximum value, and minimum value, the standard value is calculated as a deviation value, the standard value transition is calculated as an increase / decrease rate, etc. It is not limited and can be appropriately selected.

On the other hand, in the above embodiment, the processing system of the present invention is constructed in a personal computer. For example, data such as result values of each subject input and stored in a personal computer of a medical institution is transmitted via a communication network such as the Internet. It can also be set as the processing system which transmits to the server of external organizations, such as a totaling center, performs standardization with the standardization program provided in the said server, and stores a test subject's data ranging over several medical institutions.
Further, the processing program can be standardized by storing it in a recording medium such as an FD or a CD-ROM and installing it in an arbitrary personal computer.

It is a block diagram of a processing system. It is a flowchart of a standardization process.

Explanation of symbols

  1 ... Processing system 2 ... CPU 3 ... Storage device 4 ... I / O control unit 5 ... Input device 6 ... Display device 7 ... Output device

Claims (6)

A first step of setting a reference value, a normal range and an abnormal range with the reference value as a boundary, and a division number for each normal / abnormal range for each of a plurality of inspection items, and storing them in a storage device; ,
A second step for obtaining a minimum unit obtained by dividing the difference between the start value and the end value of each normal / abnormal range by the corresponding number of divisions for each inspection item;
For each inspection item, a third step of comparing the inspection result with the reference value and classifying it into a normal result and an abnormal result;
For each inspection item, a standard value is calculated by dividing the difference between the reference value and the result value by the minimum unit obtained in the second step, and stored in the storage device;
A method for processing medical examination data, comprising:   The medical test data processing method according to claim 1, further comprising a fifth step of summing the standard values for each classification of normal results and abnormal results and storing the sum in a storage device.   A medical examination data processing program for causing a computer to execute the medical examination data processing method according to claim 1.   A computer-readable recording medium storing the medical examination data processing program according to claim 3. Input means for inputting a reference value, a normal range and an abnormal range with the reference value as a boundary, and a division number for each normal / abnormal range for each of a plurality of inspection items,
Storage means for storing each numerical value input by the input means;
For each inspection item, a minimum unit is obtained by dividing the difference between the start value and the end value of each normal / abnormal range by the corresponding number of divisions, and the inspection result is compared with the reference value to determine whether the normal result is abnormal or abnormal. Standardizing means for classifying results into results, dividing the difference between each reference value and result value by the minimum unit to calculate a standard value and storing it in the storage means;
A medical examination data processing system comprising:   6. The medical examination data processing system according to claim 5, wherein the standardization means sums the standard values for each classification of normal results and abnormal results and stores them in the storage means.

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