JP2015191257A - Biological information analyzing method and biological information analyzing device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a biological information analyzing method and a biological information analyzing device that are useful for life guidance for a patient by verifying biological information.SOLUTION: A biological information analyzing device 104 receives blood glucose levels that are measured by a blood glucose meter 101 and are associated with measurement dates and times, and stores them in a measurement value table. The device uses a scanner 105 to read a notebook 103 with the blood glucose levels handwritten by a patient, and stores scan data that is a result of character recognition by a character recognition part. Secondly, the device compares the measurement value table with the scan data with respect to each measurement date and each time zone type, and specifies each record in the scan data that has: no blood glucose level written in the notebook 103; the blood glucose level consistent with the one written in the notebook 103; and the blood glucose level inconsistent with the one written in the notebook 103. The device calculates a non-writing ratio from the number of blank records, calculates an inconsistency ratio from the number of inconsistent records and then displays them on a display part 107.

Description

  The present invention relates to a biological information analyzing method and a biological information analyzing apparatus for analyzing biological information of a patient.

In recent years, diabetes, whose number is rapidly increasing, is caused by abnormal pancreatic insulin secretion and decreased sensitivity to insulin.
In the treatment of diabetes, it is important to prevent the onset and progression of complications. For this purpose, it is essential to control blood glucose levels normally. For this reason, a blood glucose measurement device (blood glucose meter) has been developed for the patient or his / her family to easily measure the blood glucose level at home, and the applicant has developed a small blood glucose meter for self-measurement. .
In addition, the patent application regarding the blood glucose meter by the applicant is shown in Patent Document 1.

  Diabetic patients must always manage their blood glucose level within an appropriate range in daily life. In addition, it is necessary to regularly visit a hospital, report blood glucose measurement results to a doctor, and receive life guidance. In particular, for patients undergoing treatment with drugs, doctors recommend measuring blood glucose multiple times a day from the viewpoint of controlling blood glucose normally in order to prevent complications. Yes. In particular, in the guidelines of IDF (International Diabetes Association), postprandial blood glucose level is associated with the risk of complications, and measurement of postprandial blood glucose level is particularly recommended.

JP 2011-64596 A

  Currently, for the purpose of encouraging self-management of blood glucose level, diabetic patients going to the hospital have their patients have their own blood glucose meter and have their blood glucose level measured at home. There are cases where it is written in a notebook by hand and brought at the time of medical examination.

  Among patients, there are cases where a value different from an actual measurement result is written on a handwritten note because the doctor does not want to be angry at the time of examination. There are also cases of omissions and mistakes. Such inaccurate description of blood glucose level affects doctor's patient guidance.

  This invention is made | formed in view of this point, and it aims at providing the biometric information analysis method and biometric information analyzer which are useful for a patient's life guidance by verifying biometric information.

  In order to solve the above-mentioned problems, the biological information analysis method of the present invention is based on a measurement value table including a plurality of records of first biological information accompanied by measurement date and time measured by a biological information measuring device from a patient, and only within a predetermined period range. Scan data including a plurality of records of second biometric information read through a character recognition process by reading a document describing second biometric information with a measurement date and time zone type entered by the patient, and a measurement biometric information acquisition step to be acquired And a handwritten biometric information acquisition step. Furthermore, it has a blank record detection step of comparing the measurement value table with the scan data and searching for a blank record in which there is a record in the first biological information and no record in the second biological information.

  According to the present invention, it is possible to provide a biological information analysis method and a biological information analysis apparatus that are useful for patient life guidance by verifying biological information.

It is the schematic which shows the use condition of the biological information analyzer which is an example of embodiment of this invention. It is the block diagram which shows the hardware constitutions of a blood glucose meter, the block diagram which shows a software function, and the schematic which shows the structure of the data which a blood glucose meter transmits to a biological information analyzer through a wireless interface. It is the block diagram which shows the hardware constitutions of a biometric information analyzer, and the block diagram which shows a software function. It is a figure which shows the field structure of the table with which a biological information analyzer is provided. It is a flowchart explaining the flow of the whole operation | movement of a biological information analyzer. It is a flowchart explaining the flow of operation | movement of a feature point specific process. It is an example which shows the correspondence of scan data and a measurement value table. It is a screen image displayed on the display part of a biological information analyzer.

An outline of an embodiment of the biological information analyzer of the present invention (hereinafter referred to as “this embodiment”) will be described.
The blood glucose meter has communication means such as a short-range wireless interface, and stores the blood glucose level measured by the patient. That is, the blood glucose meter stores a blood sugar level that is more accurate than the blood sugar level described in the handwritten note.
Therefore, the image of the handwritten note is taken into a personal computer (biological information analyzer) on which biometric information management software is operated by a scanner, subjected to character recognition processing, and compared with data taken directly from the blood glucose meter. Then, the biological information analyzer displays the discrepancy in blood glucose level and the unwritten rate of handwritten notes on the display unit, which is useful for patient lifestyle guidance.
The object of the present invention is not to read an accurate blood glucose level. The exact blood glucose level can be read directly from the blood glucose meter. The true object of the present invention is to infer the patient's self-management consciousness, that is, motivation, from the writing situation of handwritten notes.

[overall structure]
FIG. 1 is a schematic diagram showing a usage situation of a biological information analyzer which is an example of an embodiment of the present invention.
A patient himself / herself measures a daily blood glucose level using the blood glucose meter 101. As will be described later with reference to FIG. 2, the blood glucose meter 101 has a built-in real time clock (RTC) for outputting date and time information, and stores the measured blood glucose level in association with the measurement date and time. On the other hand, the patient enters the measured blood glucose level displayed on the display unit 102 of the blood glucose meter 101 in the note 103 together with the date and time zone type.
At a later date, the patient brings a blood glucose meter 101 and a notebook 103 and receives a doctor's diagnosis. Biological information management software is running on the doctor's personal computer, and constitutes the biological information analyzer 104. The biological information analyzer 104 reads the note 103 with the scanner 105, reads the data of the blood glucose meter 101 with the wireless interface 106, and whether or not the blood glucose level described in the note 103 is correct and how many are not filled in. This is verified and displayed on the display unit 107.

[Blood glucose meter 101]
FIG. 2A is a block diagram showing a hardware configuration of the blood glucose meter 101.
The blood glucose meter 101 is a device composed of a well-known microcomputer to which a CPU 201, a ROM 202, a RAM 203, an RTC 204, a display unit 102 that is a liquid crystal display, and an operation unit 205 that is an operation button are connected to a bus 206.
An A / D converter 207 is further connected to the bus 206. An optical sensor 209 is connected to the A / D converter 207 through an amplifier 208.
Further, a wireless interface 210 (denoted as “wireless I / F” in FIGS. 2A and 2B) is connected to the bus 206.

FIG. 2B is a block diagram showing software functions of the blood glucose meter 101.
An optical sensor 209 such as a phototransistor detects a patient's blood glucose level and outputs an analog signal. The optical sensor 209 outputs an analog voltage signal or current signal. When the signal output from the optical sensor 209 is a current signal, the current signal is once converted into a voltage signal by a resistor or an operational amplifier, and when it is a voltage signal, it is amplified by the amplifier 208 as it is. The voltage signal output from the amplifier 208 is converted into digital data measurement information by the A / D converter 207.

  The input / output control unit 211 converts the measurement information obtained from the A / D converter 207 into a blood sugar level by performing a predetermined calculation process. Then, the obtained blood glucose level is associated with the measurement date and time obtained from the RTC 204 and stored in the measurement value memory 212. Then, the device information 213 which is the name and serial number of the blood glucose meter 101 stored in the ROM 202 is added and transmitted to the wireless interface 106 through the wireless interface 210.

  The measurement value memory 212 is a storage area provided in the nonvolatile storage. This storage area may be the ROM 202 of the flash memory or the battery-backed RAM 203.

FIG. 2C is a schematic diagram showing the structure of data that the blood glucose meter 101 transmits to the biological information analyzer 104 through the wireless interface 210.
The blood glucose meter 101 first transmits the model name 213a and serial number 213b of the blood glucose meter 101 to the wireless interface 106 as device information 213. Thereafter, a record 217 including the measurement date / time 214, the blood glucose level 215, and the postprandial flag 216 is sequentially transmitted to the wireless interface 106.
The post-meal flag 216 is flag information for identifying whether the measured blood glucose level 215 is a pre-meal blood glucose level or a post-meal blood glucose level.

[Biological information analyzer 104]
FIG. 3A is a block diagram illustrating a hardware configuration of the biological information analyzer 104.
A biological information analysis apparatus 104 that is a personal computer is connected to a bus 306 by a well-known CPU 301, ROM 302, RAM 303, nonvolatile storage 304 such as a hard disk device, a display unit 107, and an operation unit 305.
Further, the wireless interface 106 and the scanner 105 are connected to the bus 306 via the USB interface 307.
The scanner 105 is a well-known optical reading device that generates image data by reading a paper surface of a notebook 103 in which handwritten characters are written. Further, a digital camera may be used instead of the scanner 105.

FIG. 3B is a block diagram showing software functions of the biological information analyzer 104.
The input / output control unit 311 temporarily stores the blood glucose level received from the blood glucose meter 101 through the wireless interface 106 in the measurement value table 312. Further, the input / output control unit 311 stores character information generated by the scanner 105 and converted from image data by the character recognition unit 313 in the scan data 314.
In response to the operation of the operation unit 305, the information accumulated in the measurement value table 312 and the scan data 314 are compared and verified. Then, the verification result is displayed on the display unit 107.

  When the blood glucose level is stored in the measurement value table 312, it is necessary to specify who the blood glucose level belongs to. Although several methods for associating the blood glucose level with the patient ID are conceivable, the biological information analyzer 104 of this embodiment stores the serial number 213b of the blood glucose meter 101 in the patient master 315.

FIG. 4 is a diagram illustrating a field configuration of a table provided in the biological information analyzer 104. These tables are stored in the nonvolatile storage 304.
The patient master 315 includes a patient ID field, a patient name field, a birth date field, a sex field, a patient specific information field, a serial number field, and the like.
The patient ID field stores a patient ID that uniquely identifies a patient. The patient name field stores the name of the patient. The date of birth of the patient is stored in the date of birth field. The gender field stores the gender of the patient.
In the patient specific information field, a threshold value or the like in first biological information described later is stored.
A serial number field for storing the serial number 213b of the blood glucose meter 101 owned by the patient is provided as a key for associating the patient ID with the blood glucose level.

The measurement value table 312 includes a patient ID field, a measurement value type field, a measurement date / time field, a measurement value field, a time zone type field, and a determination result field.
The patient ID field is the same as the field of the same name in the patient master 315.
The measurement value type field stores information indicating the type of the measurement value. The type of measurement value is identification information indicating what the measurement value is, such as “blood glucose level”, “body temperature”, “number of steps”, “weight”, and the like.
In the measurement date / time field, the date / time information at which the measurement value was measured is stored.
In the measurement value field, the measurement value, that is, the blood glucose level measured by the blood glucose meter 101 is stored.

  In the time zone type field, when the value of the measurement value type field is “blood glucose level”, the time when the blood glucose level was measured is “when waking up”, “before breakfast”, “after breakfast”, “before lunch”, Identification information indicating whether “after lunch”, “before dinner”, “after dinner”, or “before going to bed” is stored. In this field, the input / output control unit 311 determines identification information to be written based on the time described in the measurement date field and the postprandial flag included in the data received from the blood glucose meter 101. For example, the blood sugar level from 3 am to 6 am is “getting up”, the blood sugar level from 6 am to 10 am is “before breakfast”, the blood sugar level from 10 am to 4 pm is “lunch” The blood glucose level from 4 pm to 9 pm is “before dinner”, and the blood glucose level from 9 pm to 3 am is “before going to bed”. Only when the after-meal flag indicates “after-meal”, “before breakfast”, “before lunch”, and “before dinner” are converted to “after breakfast”, “after lunch”, and “after dinner”.

The determination result field stores a determination result indicating whether or not the blood glucose level written in the notebook 103 brought by the patient is correct as a result of collation with the scan data 314. There are four types of determination results: “OK”, “NG”, “NODATA”, and “IGNORE”. The actual data recorded in the determination result field may be a character string or a numerical value. Details of these determination results will be described later with reference to FIG.
The measurement value table 312 has a specification that can store a plurality of types of biological information of a plurality of patients by including a patient ID field and a measurement value type field. The biological information analyzer 104 can store and manage biological information measured by various devices such as a thermometer and a body composition meter as well as the blood glucose meter 101.

The device master 316 includes a model name field and a measurement value type field.
The model name field 213a of the blood glucose meter 101 is stored in the model name field.
The measurement value type field is the same as the field with the same name in the measurement value table 312.

The scan data 314 includes a measurement date field, a time zone type field, and a measurement value field.
The measurement date field stores the date on which the blood glucose level was measured.
The time zone type field is the same as the field with the same name in the measurement value table 312.
The measurement value field is the same as the field with the same name in the measurement value table 312.

[Operation of Biological Information Analysis Device 104]
The operation of the biological information analyzer 104 will now be described.
FIG. 5 is a flowchart for explaining the overall operation flow of the biological information analyzer 104.
When the process is started (S501), first, the input / output control unit 311 of the biological information analyzer 104 receives data from the blood glucose meter 101 through a wireless interface and stores the data in the measurement value table 312. The notebook 103 is read by the scanner 105, converted into character data by the character recognition unit 313, and stored in the scan data 314 (S502) (handwritten biometric information acquisition step). At this time, the input / output control unit 311 performs ancillary processing as the data is fetched. For example, if the patient is not registered, a new record is additionally recorded in the patient master. Further, when the process of the character recognition unit 313 is abnormally terminated and the scan data 314 cannot be acquired normally, a predetermined error message is displayed on the display unit 107, and the process is interrupted.
Furthermore, when the input / output control unit 311 receives data from the blood glucose meter 101 and registers it in the measurement value table 312, the input / output control unit 311 refers to the measurement date and post-meal flag and records the identification information in the time zone type field.

Next, the input / output control unit 311 performs a narrowing search for the measurement value table 312 (S503) (measurement biometric information acquisition step). Specifically, by performing a narrowing search of the measurement value table 312 in the range of the patient ID specified from the serial number of the blood glucose meter 101 and the measurement date and time of the data received from the blood glucose meter 101, the measurement value table 312 A record to be verified in the scan data 314 is specified.
Next, the input / output control unit 311 executes data collation processing between the measurement value table 312 and the scan data 314 (S504), and ends a series of processing (S505).

FIG. 6 is a flowchart for explaining the operation flow of the data matching process in step S504 of FIG.
When the process is started (S601), the input / output control unit 311 first initializes an internal counter variable i to 1 (S602).
Next, the input / output control unit 311 looks at the measurement date and time zone type of the i-th record and the i + 1-th record of the measurement value table 312. Then, it is confirmed whether or not the measurement date and the time zone type of the i-th record and the (i + 1) -th record are different (S603). If the measurement date and time zone type are the same (NO in S603), it can be seen that the (i + 1) th record is the result of the patient's blood glucose level being remeasured. Therefore, the input / output control unit 311 regards the i-th record and the (i + 1) -th record as the same comparison target for the scan data 314 (S604). Then, the counter variable i is incremented by 1 (S605), and the process is repeated again from step S603.

In step S603, if the i-th record and the (i + 1) -th record have different measurement dates or different time zone types (YES in S603), the input / output control unit 311 next determines the measurement date of the i-th record. And whether or not a record of the time zone type exists in the scan data 314 (S606). If the measurement date and time zone type record of the i-th record does not exist in the scan data 314 (NO in S606), the input / output control unit 311 displays “ "NODATA" is recorded (S607) (unfilled record detection step).
If there is a record of the measurement date and time zone type of the i-th record in the scan data 314 (YES in S606), the input / output control unit 311 next determines the measurement value of the i-th record of the scan data 314. It is confirmed whether or not the measured value matches (S608). If the measurement value of the i-th record does not match the measurement value of the scan data 314 (NO in S608), the input / output control unit 311 displays “NG” as the determination result in the determination result field of the i-th record. Is recorded (S609) (mismatch record detection step).
If the measured value of the i-th record matches the measured value of the scan data 314 (YES in S608), the input / output control unit 311 records “OK” as the determination result in the determination result field of the i-th record. (S610).

In any case of steps S607, S609, and S610, the input / output control unit 311 next increments the counter variable i by 1 (S611). Then, the input / output control unit 311 checks whether or not the i-th record exists in the measurement value table 312 (S612). If the i-th record still exists (NO in S612), the input / output control unit 311 repeats the process from step S603 again.
In step S612, if the i-th record does not exist in the measurement value table 312 (YES in S612), the input / output control unit 311 displays the measurement value table 312 and the scan data 314 side by side on the display unit 107 (S613) ( (Unfilled rate mismatch rate display step), a series of processing ends (S614).

FIG. 7 is an example showing a correspondence relationship between the scan data 314 and the measurement value table 312.
In the flowchart of FIG. 6, the input / output control unit 311 looks at the records in the measurement value table 312 in order from the first, and whether there is a record with the same measurement date and time zone type in the scan data 314 (S606). If it exists, it is confirmed whether or not the measured values are equal (S608), and the determination result is recorded in the determination result field. At that time, records having the same measurement date and time zone type in the measurement value table 312 (NO in S603) are simultaneously compared with the scan data 314 (S604).

  In FIG. 7, the third record of the measurement value table 312 has a measurement date and time “March 4, 2013, 6:30” and a time zone type “before morning”. The fourth record of the measurement value table 312 has a measurement date and time “March 4, 2013, 6:35” and a time zone type “before morning”. That is, the third record and the fourth record of the measurement value table 312 are records of “before morning of March 4, 2013” having the same measurement date and time zone type. Therefore, the input / output control unit 311 treats the third record and the fourth record as the same comparison target when compared with the scan data 314.

Next, the input / output control unit 311 confirms whether or not the scan data 314 includes a record “Morning before March 4, 2013” that is the same as the third record and the fourth record of the measurement value table 312. . Then, the first record of the scan data 314 is “Morning before March 4, 2013”. Therefore, the input / output control unit 311 confirms whether one or both of the third record and the fourth record in the measurement value table 312 have the same measurement value. The measurement value of the first record of the scan data 314 is “120”. On the other hand, the measurement value of the third record in the measurement value table 312 is “123”, which is different from the measurement value of the first record of the scan data 314, but the measurement value of the fourth record is “120”, and the scan data 314. Is equal to the measured value of the first record.
As described above, when the measurement value table 312 and the scan data 314 have the same measurement date and the same time zone type, and the same measurement value record exists in the measurement value table 312, the patient has the measurement value of the blood glucose meter 101. Is honestly recorded in the note 103, and “OK” is recorded as the determination result in the determination result field of the record (in this case, the fourth record). Then, “IGNORE” that is not subject to determination is recorded as a determination result in the determination result field of the third record that has the same measurement date and time zone type as the fourth record in the measurement value table 312.

In FIG. 7, the sixth record in the measurement value table 312 has a measurement date and time “March 4, 2013, 10:00” and a time zone type “before noon”.
Next, the input / output control unit 311 confirms whether or not the scan data 314 has the same record “Noon on March 4, 2013” as the sixth record of the measurement value table 312. Then, the third record of the scan data 314 is “before noon on March 4, 2013”. However, the measurement value field of the third record of the scan data 314 is blank. Therefore, the input / output control unit 311 determines that the patient does not describe the measurement value of the blood glucose meter 101 in the note 103, and sets “NODATA” as the determination result in the determination result field of the record (in this case, the sixth record). Record.

In FIG. 7, the ninth record in the measurement value table 312 has a measurement date and time “March 4, 2013, 17:00” and a time zone type “Evening”.
Next, the input / output control unit 311 checks whether or not the scan data 314 has the same record “Evening on March 4, 2013” as the ninth record in the measurement value table 312. Then, the fifth record of the scan data 314 is “before evening of March 4, 2013”. The measurement value of the fifth record of the scan data 314 is “124”. On the other hand, the measurement value of the ninth record in the measurement value table 312 is “132”, which is greatly different from the measurement value of the fifth record of the scan data 314. Therefore, the input / output control unit 311 determines that the patient described the false measurement value in the note 103 and records “NG” as the determination result in the determination result field of the record (in this case, the ninth record).

  Although not shown in FIG. 7, there are a plurality of records having the same measurement date and time zone type in the measurement value table 312, and the scan data 314 also has records of the same measurement date and time zone type. Any record in the measurement value table 312 may not match the measurement value in the scan data 314 record. In such a case, “NG” is recorded as the determination result in the record having the smallest measurement value in the measurement value table 312, and “IGNORE” is recorded in the other records.

  The determination result field is provided in the measurement value table 312. This is to express a case where there is no corresponding record in the scan data 314 even in the measurement value table 312 ("NODATA"). If the determination result field is provided in the scan data 314, an empty record must be inserted in order to provide the “NODATA” field.

  It should be noted that determination of coincidence of measurement values between the scan data 314 and the measurement value table 312 may be performed with a predetermined margin. For example, the allowable range is ± 3% of the blood glucose level recorded in the measurement value field of the measurement value table 312.

[screen image]
FIG. 8 is a screen image displayed on the display unit 107 of the biological information analyzer 104.
In FIG. 8, the content of the scan data 314 is displayed in the first area A801 on the left side of the screen. The content of the measurement value table 312 is displayed in the second area A802 on the right side of the screen. A table is created with the measurement date in the vertical direction and the time zone type in the horizontal direction. The blood glucose level read by the character recognition unit 313 is measured in the first area A801, and the blood glucose meter 101 is measured in the second area A802. The blood sugar level is displayed.
As can be seen from the description of FIG. 6 and FIG. 7, the biological information analyzer 104 of the present embodiment clearly indicates that the blood sugar level is not filled in and does not match the scan data 314 with reference to the measurement value table 312. Accordingly, when there is no data in the measurement value table 312, since the blood glucose level is not measured, the corresponding column of the scan data 314 is naturally blank. This is neither blank nor inconsistent.

In the first area A801, a place where there is no data in the measured value table 312 and no blood glucose level is entered and a place where the blood sugar level does not match are displayed in different colors.
In addition, the biological information analyzer 104 calculates an unfilled rate from the number of unfilled records, calculates a mismatch rate from the number of unmatched records, and displays them at the lower left of the screen. This is because, after subtracting the number of records whose determination result is “IGNORE” from the number of records in the measurement value table 312, the ratio of “NODATA” in all records is the unfilled rate and the rate of “NG” is the mismatch rate. To do.
The unfilled rate and the discrepancy rate indirectly represent the motivation in the lifestyle of the patient. The magnitude of the blood glucose level can be seen as a numerical value. On the other hand, in the display screen of FIG. A doctor can determine how to perform life guidance according to the patient's consciousness by seeing these numerical values.

This embodiment can be applied as follows.
(1) The display unit 107 of the biological information analyzer 104 may perform the same analysis on other biological information such as body weight and blood pressure as well as the blood sugar level.
(2) The field structure of the measurement value table 312 is not necessarily limited to the example shown in FIG. The time zone type field and the determination result field may be provided in separate tables.
(3) The method for verifying the measurement value table 312 and the scan data 314 is not limited to the flowcharts of FIGS. In step S503 in FIG. 5, there is a method of writing the search result from the measurement value table 312 to a temporary file, in addition to performing a search by narrowing down the measurement value table 312. At this time, it may be considered that the measurement value table 312 is provided in the temporary file without providing the time zone type field and the determination result field.

  (4) In recent desktop personal computers, there are many forms in which a plurality of displays are connected. Therefore, in order to reduce the mental burden on the patient in the guidance for the patient, the first display that can be viewed only by the doctor displays the display screen of FIG. 8 and the second display that the doctor and the patient can see. It is desirable to display a display screen that does not display the contents of the measurement value table 312, the unfilled rate, and the mismatch rate.

In the present embodiment, the biological information analyzer 104 has been disclosed.
The biological information analyzer 104 receives the blood glucose level (biological information) accompanied by the measurement date and time measured by the blood glucose meter 101 (biological information measuring device) and stores it in the measured value table 312. The biological information analyzer 104 also stores scan data 314 that is a result of character recognition performed by the character recognition unit 313 by reading the notebook 103 in which the blood glucose level has been handwritten by the patient with the scanner 105. The biological information analyzer 104 matches the measurement value table 312 with the scan data 314 for each measurement date and time zone type, and records the blood glucose level written in the note 103 in the scan data 314 in which the blood glucose level is not entered. A record in which the values match and a record in which the blood sugar levels entered in the note 103 do not match are specified. Then, the unfilled rate is calculated from the number of unfilled records, the mismatch rate is calculated from the number of unmatched records, and displayed on the display unit 107. By seeing these numerical values, the doctor can obtain judgment materials for accurate life guidance according to the patient's consciousness.

The embodiment of the present invention has been described above. However, the present invention is not limited to the above-described embodiment, and other modifications may be made without departing from the gist of the present invention described in the claims. Includes application examples.
For example, the above-described exemplary embodiments are detailed and specific descriptions of the configuration of the apparatus and the system in order to explain the present invention in an easy-to-understand manner, and are not necessarily limited to those having all the configurations described. . Further, a part of the configuration of one embodiment can be replaced with the configuration of another embodiment, and the configuration of another embodiment can be added to the configuration of one embodiment. Moreover, it is also possible to add, delete, and replace other configurations for a part of the configuration of each embodiment.
Each of the above-described configurations, functions, processing units, and the like may be realized by hardware by designing a part or all of them with, for example, an integrated circuit. Further, each of the above-described configurations, functions, and the like may be realized by software for interpreting and executing a program that realizes each function by the processor. Information such as programs, tables, and files that realize each function must be held in a volatile or non-volatile storage such as a memory, hard disk, or SSD (Solid State Drive), or a recording medium such as an IC card or an optical disk. Can do.
In addition, the control lines and information lines are those that are considered necessary for the explanation, and not all the control lines and information lines on the product are necessarily shown. Actually, it may be considered that almost all the components are connected to each other.

  DESCRIPTION OF SYMBOLS 101 ... Blood glucose meter, 102 ... Display part, 103 ... Notebook, 104 ... Biological information analyzer, 105 ... Scanner, 106 ... Wireless interface, 107 ... Display part, 201 ... CPU, 202 ... ROM, 203 ... RAM, 204 ... RTC , 205 ... operation unit, 206 ... bus, 207 ... A / D converter, 208 ... amplifier, 209 ... optical sensor, 210 ... wireless interface, 211 ... input / output control unit, 212 ... measurement value memory, 213 ... device information, 213a ... model name, 213b ... serial number, 214 ... measurement date, 215 ... blood glucose level, 216 ... post-meal flag, 217 ... record, 301 ... CPU, 302 ... ROM, 303 ... RAM, 304 ... nonvolatile storage, 305 ... operation , 306... Bus, 307... USB interface, 311. ... measured value table, 313 ... character recognition unit, 314 ... scan data, 315 ... patient master, 316 ... device master

Claims (6)

A measurement biological information acquisition step for acquiring a range of a predetermined period from a measurement value table including a plurality of records of first biological information with a measurement date and time measured by a biological information measurement device from a patient;
Handwritten biometric information acquisition that reads a document in which second biometric information with a measurement date and time zone type written by the patient is written, and obtains scan data including a plurality of records of the second biometric information through character recognition processing Steps,
An unfilled record detection step of comparing the measurement value table with the scan data and searching for a record in the unfilled state in which there is a record in the first biometric information and no record in the second biometric information; Information analysis method. Furthermore,
Comparing the measurement value table with the scan data, the records of the first biometric information and the second biometric information are different from each other while the first biometric information and the second biometric information are recorded. The biometric information analysis method according to claim 1, further comprising a mismatch record detection step of searching. Furthermore,
Count the number of unfilled records, calculate the unfilled rate, count the number of unmatched records, calculate the mismatch rate, and display the unfilled rate and mismatch rate on the display The biological information analysis method according to claim 2, further comprising: an unfilled rate mismatch rate display step. Reads a measurement value table measured from a patient, including a plurality of records of first biometric information with measurement date and time, and a second biometric information with a measurement date and time zone type written by the patient, A non-volatile storage for storing scan data including a plurality of records of the second biological information through a recognition process;
The measurement value table and the scan data are compared, and a record in the first biometric information that is recorded but not recorded in the second biometric information is searched, and predetermined information is added to the record A biological information analyzer comprising an input / output control unit. The input / output control unit further compares the measurement value table with the scan data, and records the first biological information and the second biological information while recording the first biological information and the second biological information. Search for records in mismatched states with different values, and add predetermined information to the records.
The biological information analyzer according to claim 4. Furthermore,
A display unit,
The input / output control unit further calculates the unfilled rate by counting the number of unfilled records, calculates the unmatched rate by counting the number of unmatched records, and displays on the display unit. The biological information analyzer according to claim 5, wherein the blank rate and the mismatch rate are displayed.

Images