JP2014186435A - Data processing device, data processing method, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To reduce labor of input work.SOLUTION: A data processing device searches for search object data and other data to which the search object data belongs. Then, search object coordinate data and comparison coordinate data indicating the positions of the search object data and the other data in text data are acquired. Operation is performed on the basis of the acquired search object coordinate data and comparison coordinate data. Then, predetermined processing is performed on a portion indicated by the search object coordinate data in accordance with the operation result, thereby making a mode different.

Description

  The present invention relates to a data processing device, a data processing method, and a program.

  In insurance business, when an insurance company accepts an application for insurance, it receives medical examination information indicating the results of a medical checkup and a medical examination from the insurance applicant, and the insurance applicant applies for insurance based on the medical examination information. Judgment is made (subscription assessment work). In most cases, the medical examination information is received on paper media from insurance applicants. However, in order to perform the assessment process efficiently, the paper media is scanned and imaged, and the image data is used as a basis. The assessment information data is created by manually extracting and inputting necessary information. Then, the insurance company conducts a subscription assessment using the assessment information data.

  Here, since it takes a lot of labor to manually extract and input necessary information based on image data, for example, a technique for extracting a partial image in an entry field (for example, Patent Document 1), an item, etc. It is known to reduce the labor of manual input work by a technique for switching input positions from a group (for example, Patent Document 2).

JP 2006-072919 A Japanese Patent Application Laid-Open No. 08-087492

  However, since the technique described in Patent Document 1 cuts out along the layout of the paper medium to be imaged, it is difficult to cope with a plurality of paper media having different layouts. Further, in the technique described in Patent Document 2, the input position is also used when there are item names with synonyms having different names or when the same phrase as the item name is described in a position that does not need to be used for input work. There is a problem such as switching. Therefore, it has not been sufficient from the viewpoint of reducing the labor of manual input work.

  The present invention has been made in view of the above problems, and an object of the present invention is to provide a data processing apparatus, a data processing method, and a program that can reduce the labor of input work.

In order to achieve the above object, a data processing apparatus according to the first aspect of the present invention provides:
A receiving unit for receiving search target data and text data;
A search unit for searching the search target data from the text data;
A coordinate data acquisition unit for acquiring search target coordinate data indicating a position of the search target data in the text data;
A predetermined processing is performed on the portion indicated by the search target coordinate data acquired by the coordinate data acquisition unit, and the display processing unit is configured to make the portion of the text data different.
The search unit searches for other data to which the search target data belongs in addition to the search target data,
The coordinate data acquisition unit acquires comparison coordinate data indicating a position of the other data in the text data,
The display processing unit performs a calculation using a value of the search target coordinate data and a value of the comparison coordinate data, and performs a predetermined process on a portion indicated by the search target coordinate data according to a calculation result.
It is characterized by that.

When the search target data does not exist in the text data, the search unit further searches for data similar to the search target data as the search target data.
You may do it.

The coordinate data acquisition unit acquires search target coordinate data indicating a position of data to be searched, and further obtains numerical coordinate data at a position indicated by a value obtained by adding a predetermined value to the value of the search target coordinate data. Acquired,
The display processing unit performs a predetermined process on a portion indicated by the search target coordinate data and the numerical coordinate data, and makes the portion of the text data different.
You may do it.

A data processing method according to the second aspect of the present invention includes:
A receiving step for receiving search target data and text data;
A search step of searching the data to be searched from the text data;
A coordinate data acquisition step of acquiring search target coordinate data indicating a position of the search target data in the text data;
A predetermined process is performed on the portion indicated by the search target coordinate data acquired in the coordinate data acquisition step, and the display processing step in which the portion of the text data is set in a different mode,
In the searching step, in addition to the data to be searched, other data to which the data to be searched belongs is searched,
In the coordinate data acquisition step, the comparison coordinate data indicating the position of the other data in the text data is acquired,
In the display processing step, a calculation is performed using the value of the search target coordinate data and the value of the comparison coordinate data, and a predetermined process is performed on a portion indicated by the search target coordinate data according to a calculation result.
It is characterized by that.

A program according to the third aspect of the present invention is:
A receiving unit for receiving data to be searched and text data;
A search unit for searching the data to be searched from the text data;
A coordinate data acquisition unit for acquiring search target coordinate data indicating a position of the search target data in the text data;
Performing a predetermined process on the portion indicated by the search target coordinate data acquired by the coordinate data acquisition unit, and functioning as a display processing unit that makes the portion of the text data different.
The search unit searches for other data to which the search target data belongs in addition to the search target data,
The coordinate data acquisition unit acquires comparison coordinate data indicating a position of the other data in the text data,
The display processing unit performs a calculation using a value of the search target coordinate data and a value of the comparison coordinate data, and performs a predetermined process on a portion indicated by the search target coordinate data according to a calculation result.
It is characterized by that.

  According to the present invention, the labor of input work can be reduced.

It is a block diagram which shows the structure of the data processing system provided with the data processing apparatus which concerns on embodiment of this invention. It is a figure which shows the content of the category definition list table. It is a figure which shows an example of the text data at the time of carrying out OCR process of the paper medium which shows the result of a medical examination. It is a flowchart which shows an example of the process in a data processor. It is a figure which shows an example of the screen displayed on an entry terminal. It is a flowchart which shows an example of a search process. It is a flowchart which shows an example of an item determination process. It is a figure which shows an example of the screen displayed on an entry terminal. It is a figure which shows an example of the screen displayed on an entry terminal.

  Hereinafter, a data processing system 10 to which the data processing device 1 is applied will be described with reference to the drawings in order to make the functions of the data processing device 1 according to the embodiment of the present invention easier to understand.

  As shown in FIG. 1, the data processing system 10 according to the present embodiment includes a scanner 200, a data processing device 1, and a plurality of entry terminals 300, which are communicably connected via a network N. Has been.

  The scanner 200 has an OCR (Optical Character Recognition) function, optically reads a paper medium (hereinafter referred to as a form) sent from an insurance applicant, and has a function of creating text data of the form. doing. The scanner 200 has a function of transmitting the text data to the data processing device 1 via the network N.

  The data processing apparatus 1 has a function of searching for information necessary for input work from medical examination information included in text data transmitted from the scanner 200 in response to access from the entry terminal 300 and providing the necessary information. A computer operating under program control.

  The data processing apparatus 1 includes a storage unit 102, a control unit 104, a communication unit 106, an input / output unit 108, and a system bus 99 that connects these components to each other in order to realize the above functions.

  The storage unit 102 includes a nonvolatile memory such as a flash memory and a hard disk, and stores a program 111 for realizing each functional unit of the control unit 104 and a category definition list table 110. The storage unit 102 stores coordinate data in the text data detected from the text data and item names in association with each other by a search process described later.

  The category definition list table 110 is a table that defines a synonym of an item name indicated as medical examination information included in text data as one necessary medical examination information for each category, and is stored in the storage unit 102 in advance. Yes. Note that the information stored in the category definition list table 110 can be updated sequentially by an administrator, for example.

  FIG. 2 is a diagram showing the contents of the category definition list table 110. In the category definition list table 110 shown in FIG. 2, a list of item names and synonyms (item aliases) of the item names is defined, and a list of categories to which the item indicated by the item name belongs is shown. Note that the item name and item alias correspond to items of medical examination information included in text data transmitted from the scanner 200. Here, the text data transmitted from the scanner 200 is data obtained by performing OCR processing on a form. There are multiple types of forms depending on the organization (inspection organization) that conducts the medical checkup and medical checkup, and the item names (inspection item names, etc.) displayed as the results of the medical checkup and medical checkup are also different. For example, an item indicating the date on which a medical examination or a medical checkup is performed may be an item name such as “date of medical examination” or “date of medical examination” depending on the inspection organization. Therefore, in the item alias, a list of item names that can be determined as synonyms among the item names shown in the form is predefined based on past statistics, and the items shown in the category definition list table 110 The item corresponding to the alias is identified as the item name shown in the category definition list table 110 by the processing of the search unit 112 described later. In other words, items indicated as “health checkup date” and “visit date” in the text data are handled as items of “implementation date” in the processing of the search unit 112 described later. In addition, the item name shown in the item name column in the category definition list table 110 shown in FIG. 2 also indicates the item name of the necessary information to be input by the input person.

  Further, the category names in the category definition list table 110 shown in FIG. 2 indicate related items (that is, attributes to which a plurality of items belong). In the illustrated example, for example, the “general” category includes “ This indicates that the items of “Date of implementation”, “Name of specific medical examination institution”, “Name of examinee”, and “Overall judgment” belong.

  Returning to FIG. 1, the control unit 104 includes a microprocessor and the like. The control unit 104 operates according to the program 111 stored in the storage unit 102 and provides necessary functions. The control unit 104 includes a search unit 112, a coordinate acquisition unit 113, an item determination unit 114, and a result output unit 115 as main functional units provided by the program 111.

  The search unit 112, for example, in response to an access from the entry terminal 300 (in response to a search instruction), information corresponding to the item name specified by the operator of the entry terminal 300 from the text data received from the scanner 200 ( (Including synonyms). In the search unit 112, when it is determined that any of the item name specified by the operator or a plurality of synonyms included in the item alias in the category definition list table 110 stored in the storage unit 102 exists, It is determined that the corresponding information exists. In this embodiment, since the item name specified by the operator of the entry terminal 300 corresponds to the item name in the category definition list table 110, the search unit 112 uses the item alias corresponding to the item name. By referring to the list, a synonym for the item name specified by the operator may be searched. When it is determined that the corresponding information exists as a search result in the search unit 112, the item name (search target item name) is stored in the storage unit 102.

  If the search unit 112 determines that the corresponding information exists, the search unit 112 refers to the category definition list table 110 and identifies the category to which the item corresponding to the corresponding information belongs. Then, among the item names belonging to the specified category, an item name (other item name) different from the item name stored as the search result, or an item alias of another item name is searched from the text data. When it is determined that another item name belonging to the category specified in the text data or an item alias of another item name exists, the other item name is stored in the storage unit.

  When it is determined that the corresponding information exists as a search result in the search unit 112 (when the search target item name exists), the coordinate acquisition unit 113 acquires coordinate data of the corresponding information in the text data. The coordinate data is information indicating a position in the text data, and is determined by the OCR processing performed by the scanner 200. The acquired coordinate data (search target coordinate data) is stored in the storage unit 102 in association with the item name (search target item name).

  Further, the coordinate acquisition unit 113 determines that the item alias of the other item name exists in the search unit 112, and when the other item name is stored in the storage unit 102, the text data including the other item name exists. Get the coordinate data inside. The acquired coordinate data (comparison coordinate data) is stored in the storage unit 102 in association with the other item names.

  The item determination unit 114 refers to the category definition list table 110, identifies the category to which the item name that is searched by the search unit 112 and stored in the storage unit 102, and compares the coordinate data corresponding to the item name belonging to the same category Then, it is determined whether or not the item name searched by the search unit 112 is necessary information. That is, the item determining unit 114 compares the search target coordinate data with the comparison coordinate data to determine whether the information is necessary information. Specifically, when the comparison coordinate data is subtracted from the search target coordinate data and the absolute value is less than a predetermined threshold, the item name (search target item name) searched by the search unit 112 is the necessary information. What is necessary is just to determine that there exists.

  When the result output unit 115 determines by the function of the item determination unit 114 that the item name (search target item name) searched by the search unit 112 is necessary information, the position in the text data indicated by the comparison coordinate data, that is, Then, a conspicuous process (display processing process), such as changing the color of the position where the search target item name exists or making the display frame thicker, is displayed on the display screen of the entry terminal 300 that has given the instruction.

  The communication unit 106 has a serial interface or an analog interface for receiving an analog signal. Text data transmitted from the scanner 200 and information transmitted from the entry terminal 300 are received by the communication unit 106 and transmitted to the control unit 104.

  The input / output unit 108 is, for example, a keyboard, a mouse, a monitor, or the like, and is used, for example, when the administrator of the data processing apparatus 1 updates the category definition list table 110.

  The entry terminal 300 is a computer for inputting necessary information in order to efficiently perform the subscription assessment work. The entry terminal 300 transmits and specifies an item name to be searched to the data processing apparatus 1 via the network N.

  The above is the configuration of the data processing system 10. Next, the overall operation of the data processing system 10 will be described with reference to FIGS.

  First, as a premise, the insurance company receives medical examination information from the insurance applicant with a paper medium, and the scanner 200 performs OCR processing on the paper medium to generate text data as shown in FIG. Then, it is assumed that the created text data is transmitted to the data processing device 1. FIG. 3 shows an example of text data when a paper medium indicating the result of a health check is subjected to OCR processing. As described above, item names and layouts differ depending on the medical institution that performed the health check. The same applies to a paper medium indicating a result of a medical check, not a health check.

  Then, in order to create the assessment information data when performing the enrollment assessment business, the entry terminal 300 is directed to the data processing apparatus 1 by specifying the necessary items in the assessment information data (instructed to search) And By receiving the search instruction from the entry terminal 300, the data processing device 1 starts processing.

  When the data processing apparatus 1 receives the search instruction from the entry terminal 300, the data processing apparatus 1 executes the process as shown in FIG. 4 (step S10). As shown in FIG. 5, the search instruction is transmitted by clicking the item of necessary information by the input person. FIG. 5 shows an example of a screen displayed when creating the assessment information data at the entry terminal 300. Note that, by accessing the data processing apparatus 1 based on the input user's operation, the screen of the example shown in the figure for creating the assessment information is displayed on the entry terminal 300. Here, for example, as shown in FIG. 5, an item “AST (GOT)” is clicked as necessary information, and “AST (GOT)” is retrieved as a retrieval instruction (designated as necessary information, that is, retrieval instruction). An example in which the character string displayed is the same as the character string displayed in the text data will be described.

  FIG. 6 is a flowchart showing an example of the search process executed in step S10 of FIG. In the search process shown in FIG. 6, the data processing apparatus 1 searches the text data received from the scanner 200 for information (a character string that matches AST (GOT)) from the text data received from the scanner 200 by the function of the search unit 120 ( Step S101).

  After executing step S101, it is determined whether or not the information indicated by the search instruction exists in the text data (step S102). When it is determined in step S102 that it does not exist (step S102; No), the category definition list table 110 stored in the storage unit 102 is referred to, and the item on the category definition list table 110 corresponding to the information indicated by the search instruction The name (for example, the item name “AST (GOT)” on the category definition list table 110 when the information indicated by the search instruction is “AST (GOT)”) is specified (step S103). Then, the item alias corresponding to the item name specified in step S103 is specified with reference to the category definition list table 110 (step S104).

  After the item alias is specified in step S104, a character string that matches the specified item alias is searched (step S105). Then, it is determined whether or not a character string that matches the item alias exists in the text data (step S106). If it is determined in step S106 that it does not exist (step S106; No), it is determined whether or not the process of step S105 has been performed for all item aliases identified in step S104, and step S105 is performed for all identified item aliases. If the process is not performed, the process returns to step S105. On the other hand, if it is determined that the process of step S105 has been performed for all item aliases, the search process is terminated.

  If it is determined in step S106 that it exists (step S106; Yes), or if it is determined that it exists in step S102 (step S102; Yes), the function of the coordinate acquisition unit 113 allows the corresponding information in the text data to be stored. Coordinate data (search target coordinate data) is acquired (step S107). Note that the search target coordinate data in the case where it is determined in step S106 is coordinate data indicating the position where the character string of the item alias exists in the text data, and the search in the case where it is determined in step S102 that it exists. The target coordinate data is coordinate data indicating a position where a character string (AST (GOT) in this example) matching the information indicated by the search instruction in the text data exists. In this embodiment, when the coordinate data of the corresponding information is acquired in step S107, the coordinates of the vertices of the display frame before and after the corresponding information (character string) (for example, (X1, Y1) to FIG. (Coordinates of (X4, Y4)) data is acquired.

  After executing the process of step S107, the function of the item determination unit 114 causes the information indicated in the search instruction searched in the process of step S101 (AST (GOT) in this example) or the item searched in the process of step S105. The category to which the alias belongs is specified with reference to the category definition list table 110 stored in the storage unit 102 (step S108). Then, an item name that is different from the information (AST (GOT) in this example) indicated in the search instruction searched in the process of step S101 belonging to the specified category, that is, another item name is specified (step S109). In this example, the category to which “AST (GOT)” belongs is specified as “liver function” in the process of step S108, and “GPT (ALT)” and “γGTP” are set to other processes in the process of step S109. Identified as an item name.

  After executing the process of step S109, the function of the search unit 112 searches for a character string that matches the other item name specified in the process of step S109 (step S110). In this example, for example, a character string “GPT (ALT)” is searched from text data. Then, it is determined whether or not a matching character string exists in the text data (step S111). If it is determined in step S111 that it does not exist (step S111; No) (in this example, since the character string “GPT (ALT)” does not exist, it is determined that it does not exist in step S111), the storage unit 102 The stored category definition list table 110 is referred to, and an item alias corresponding to the other item name specified in step S109 is specified with reference to the category definition list table 110 (step S112). In this example, as shown in FIG. 2, “ALT (GPT)”, “GPT”, “ALT”, and “alanine aminotransferase” corresponding to the item name “GPT (ALT)” are specified as item aliases. .

  After the process of step S112 is executed, a character string that matches the specified item alias is searched (step S113). Then, it is determined whether or not a character string that matches the item alias exists in the text data (step S114). If it is determined in step S114 that it does not exist (step S114; No), it is determined whether or not the processing of step S113 has been performed for all item aliases specified in step S112, and all specified item aliases (this example) Then, if the process of step S113 is not performed for “ALT (GPT)”, “GPT”, “ALT”, and “alanine aminotransferase” (all item aliases), the process returns to the process of step S113. On the other hand, if it is determined that the process of step S113 has been performed for all item aliases, the search process ends.

  If it is determined in step S114 (step S114; Yes) (in this example, “ALT (GPT)” is determined to exist because it exists), or if it is determined to exist in step S111 ( In step S111; Yes, the coordinate data (comparison coordinate data) of the corresponding information in the text data is acquired by the function of the coordinate acquisition unit 113 (step S115). Note that the comparison coordinate data in the case where it is determined in step S114 is the coordinate data indicating the position where the character string of the item alias exists in the text data, and the comparison coordinates in the case where it is determined in step S111. The data is coordinate data indicating a position where a character string (in this example, “ALT (GPT)”) that matches another item name in the text data exists. Note that the acquired coordinate data is the coordinate data of the vertices of the display frame before and after the corresponding information (character string), as described above. After executing the process of step S115, the search process is terminated.

  Returning to FIG. 4, after the search process of step S10 is executed, an item determination process is executed (step S20). FIG. 7 is a flowchart showing an example of the item determination process executed in step S20 of FIG. In the item determination process illustrated in FIG. 7, the data processing device 1 uses the function of the item determination unit 114 to indicate the value indicated by the comparison coordinate data acquired in step S <b> 115 from the value indicated by the search target coordinate data acquired in step S <b> 107 in FIG. 6. Is subtracted (step S201). In this example, the coordinate value of “ALT (GPT)” that is comparison coordinate data is subtracted from the coordinate value of “AST (GOT)” that is the search target coordinate data.

  After executing the process of step S201, it is determined whether or not the absolute value of the calculation result of step S201 is less than a predetermined threshold (for example, less than 5) (step S202). The search target coordinate data and the comparison coordinate data indicate the position where the item name exists in the text data. Specifically, the upper left, the upper right, the lower left of the frame of the character string in which the item name exists in the text data, This is data representing the coordinates of the lower right point as (X, Y) (for example, (X1, Y1) to (X4, Y4) shown in FIG. 8). In step S201, the coordinate values of the upper left, upper right, lower left, and lower right points of the comparison coordinate data are subtracted from the coordinate values of the upper left, upper right, lower left, and lower right points of the search target coordinate data. In step S202, it may be determined whether or not each absolute value is less than the threshold value. Note that the search target coordinate data and the comparison coordinate data in this embodiment are the coordinate data of the vertices of the display frame, and therefore the values shown in X1 to X4 are the same value. Therefore, only the value of the Y coordinate may be compared using this property. According to this, since the list of the medical examination information in the text data is described in a predetermined display frame, the target coordinates to be compared are reduced, and the processing can be reduced.

  When it is determined in step S202 of FIG. 7 that the calculation result is less than the threshold (step S202; Yes), the item indicated in the search target coordinate data is determined as necessary information (step S203), and the function of the result output unit 115 is used. Then, display processing is performed on the portion corresponding to the necessary information in the text data (step S204). In this example, as shown in FIG. 8, since “AST (GOT)” is designated as the search instruction, the coordinates (X1, Y1) to (X4, Y4) indicated as the search target coordinate data are connected, and the text The display portion of “AST (GOT)” in the data is made conspicuous. In addition, you may make it change the color of the part enclosed within coordinates (X1, Y1)-(X4, Y4) shown as search object coordinate data in text data. In addition, when the calculation result is less than the threshold value in the process of step S202, the item indicated in the search target coordinate data is determined as necessary information in step S203, which is described in the medical examination information in the insurance business. Among the items, items belonging to the same category are described in the vicinity. As a result, when a phrase similar to the item name is described in a position that does not need to be used for the input operation (for example, when the character string “AST (GOT) exists in the“ Notes ”column shown in FIG. 3) Therefore, it is possible to prevent the determination of the word / phrase as necessary information. As long as items are extracted and input work is performed, the present invention can be applied to processing other than the creation of assessment information data in insurance business, and the display performed in step S204 is deleted when the next search instruction is received. It only has to be done.

  After executing the process of step S204, or when it is determined in step S202 that the absolute value of the calculation result is equal to or greater than the threshold (step S202; No), the item determination process is terminated.

  Returning to FIG. 4, after executing the item determination process in step S <b> 20, the data processing apparatus 1 ends the process. When the search instruction is received again, the processing is started (as described above, when the display processing in step S204 is performed, first, the display performed in the display processing is erased and then the search processing is performed. To start).

  Next, as shown in FIG. 9, an example in which “GPT (ALT)” is clicked as necessary information and “GPT (ALT)” is retrieved as a retrieval instruction (necessary information, that is, characters designated as retrieval instructions) An example in which the column and the character string displayed in the text data are different will be described.

  As shown in FIG. 9, when the item “GPT (ALT)” is clicked as necessary information, the data processing apparatus 1 starts the search process executed in step S <b> 10 of FIG. 4 and receives it from the scanner 200. The retrieved text data is searched for information (character string that matches the search instruction (GPT (ALT))) (step S101 in FIG. 6). Since there is no character string that matches “GPT (ALT)” in the text data, it is determined that it does not exist in step S102 of FIG. 6 (step S102; No). Then, the category definition list table 110 stored in the storage unit 102 is referred to, and the item name on the category definition list table 110 corresponding to the information indicated by the search instruction (for example, the information indicated by the search instruction is “GPT (ALT) ", The item name" GPT (ALT) ") on the category definition list table 110 is specified (step S103). Then, the item alias corresponding to the item name specified in step S103 is specified with reference to the category definition list table 110 (step S104). In this example, the item name “GPT (ALT)” is specified in the process of step S103, and “ALT (GPT)”, “GPT”, “GP” corresponding to “GPT (ALT)” is specified in the process of step S104. “ALT” and “alanine aminotransferase” are specified as item aliases.

  After executing the process of step S104, in the process of step S105, character strings that match the character strings of “ALT (GPT)”, “GPT”, “ALT”, and “alanine aminotransferase” are included in the text data. Search from. In this example, since the character string “ALT (GPT)” exists in the text data, it is determined that it exists in the process of step S106. Thereby, it is determined that the synonym of the search instruction exists in the text data, and the synonym is handled as information indicated in the search instruction.

  After executing the processing of step S106, as in the example of searching for “AST (GOT)” as the above search instruction, the coordinate data of the position where the search target coordinate data (“ALT (GPT)” character string exists) ) And other item names (for example, “γ-GTP”) are searched to obtain comparative coordinate data (coordinate data at a position where the character string “γ-GTP” exists), and the search process is terminated. . Then, the item determination process shown in step S20 of FIG. 4 is performed using the search target coordinate data and the comparison coordinate data (step S201 of FIG. 7), and when the absolute value of the calculation result is less than the threshold value ( In step S202; Yes, it is determined that “ALT (GPT)” is necessary information in the process of step S203, and in the process of step S204, as shown in FIG. 9, “ALT (GPT)” in the text data. Make the display part stand out.

  Note that the example shown in FIG. 3 is shown as an example of text data when the OCR processing is performed on the paper medium indicating the result of the health check. However, the assessment information data is also obtained by executing the same processing on the paper medium having a different layout. Can be easily created. According to this, it is possible to perform a search even when synonyms of necessary information are described in the text data, and the labor of input work can be reduced.

  As described above, in the data processing device 1 according to the above-described embodiment, the calculation is performed on the search target coordinate data and the comparison coordinate data, and the item of the position indicated by the search target coordinate data is the necessary information based on the result. It is determined whether or not there is. Therefore, when a phrase similar to the item name is described in a position that does not need to be used for input work (for example, when a character string “AST (GOT) exists in the“ Notes ”column shown in FIG. 3) ) Can be prevented from being determined as necessary information, and the input work can be reduced.If the information indicated by the search instruction does not exist in the text data, the search instruction Since the search is performed on the synonyms of the information indicated by the information, the search can be performed even when the synonyms of the necessary information are described in the text data, and the labor of input work can be reduced. The same processing can be applied to paper media having different sizes.

  In addition, this invention is not limited to the said embodiment, A various application and deformation | transformation are possible.

  In the above-described embodiment, an example has been shown in which the display portion of the item in the text data is made conspicuous by connecting the coordinates shown as the search target coordinate data regardless of the item in the display processing process in step S204. is there. In the display processing process in step S204, for example, the color may be changed for each item associated with the search target coordinate data. Further, for example, the color (red) of necessary information (“AST (GOT)”) in FIG. 8 and the portion displayed by display processing in the medical examination information (“AST (GOT)” in the medical examination information) ) Color (red) is the same color, the color (blue) of the necessary information (“GPT (ALT)”) in FIG. 9 and the portion of the medical examination information displayed by the display processing (medical examination information) The color of “ALT (GPT)” in the same color (blue) may be different for each item, such as the same color, and the color indicated in the necessary information may be the same. In this case, a plurality of medical examination information patterns may be registered in advance, and settings may be made so that colors can be selected according to the patterns. According to this, the input person can more easily find an item corresponding to necessary information from among a plurality of items in the medical examination information, and can reduce the labor of input work. Further, the present invention is not limited to changing the color, and a message indicating the character string indicated by the search instruction may be further displayed in the medical examination information.

  In the above embodiment, an example has been shown in which the display portion of the item in the text data is made conspicuous in the display processing process in step S204, but this is an example. For example, the coordinate data (for example, “ALT (GPT)” and “21 IU / l”) of the coordinate part indicated as the search target coordinate data and the numerical part of the item corresponding to the search target coordinate data are extracted and the necessary An item clicked as information, that is, a character string designated as a search instruction may be displayed in the vicinity. Note that the coordinate data of the numerical part of the corresponding item may be obtained in advance when the search target coordinate data is acquired in the process of step S107 in FIG. When the target coordinate data is (X1, Y1) to (X4, Y4), coordinate data at positions obtained by adding predetermined values to X1 to X4, respectively. That is, since the numerical value of the corresponding item is described next to the search target coordinate data in the text data, the coordinate data of the numerical value portion may be extracted using this. According to this, since the item to be input and its value are displayed in the vicinity of the item clicked as the necessary information, it is possible to reduce the labor of input work and prevent an input error. be able to. In addition, since the numerical value of the corresponding item may be different depending on the medical examination information as described in the column below the item, it is possible to select which coordinate data to obtain for each medical examination information do it.

  In the above embodiment, once the display processing process in step S204 is executed, the processing display displayed in the medical examination information is deleted when the next search instruction is received. It is an example. The processing display may not be erased. According to this, when the confirmer who confirms whether the input content is correct or not after the input person completes the input, the input person refers to any item in the text data. It is possible to easily grasp whether it is input.

  Further, when the above-described functions are realized by sharing between an OS (Operating System) and an application, or by cooperation between the OS and the application, only a part other than the OS may be stored in the medium.

  It is also possible to superimpose the program 111 on a carrier wave and distribute it via a communication network. For example, the program may be posted on a bulletin board (BBS, Bulletin Board System) on a communication network, and the program may be distributed via the network. Then, the above-described processing may be executed by starting these programs and executing them in the same manner as other application programs under the control of the operating system.

DESCRIPTION OF SYMBOLS 1 Data processor 10 Data processing system 99 System bus 102 Storage part 104 Control part 106 Communication part 108 Input / output part 110 Category definition list table 111 Program 112 Search part 113 Coordinate acquisition part 114 Item determination part 115 Result output part 200 Scanner 300 Entry Terminal

Claims (5)

A receiving unit for receiving search target data and text data;
A search unit for searching the search target data from the text data;
A coordinate data acquisition unit for acquiring search target coordinate data indicating a position of the search target data in the text data;
A predetermined processing is performed on the portion indicated by the search target coordinate data acquired by the coordinate data acquisition unit, and the display processing unit is configured to make the portion of the text data different.
The search unit searches for other data to which the search target data belongs in addition to the search target data,
The coordinate data acquisition unit acquires comparison coordinate data indicating a position of the other data in the text data,
The display processing unit performs a calculation using a value of the search target coordinate data and a value of the comparison coordinate data, and performs a predetermined process on a portion indicated by the search target coordinate data according to a calculation result.
A data processing apparatus. When the search target data does not exist in the text data, the search unit further searches for data similar to the search target data as the search target data.
The data processing apparatus according to claim 1. The coordinate data acquisition unit acquires search target coordinate data indicating a position of search target data, and further acquires numerical coordinate data of a position indicated by a value obtained by adding a predetermined value to the value of the search target coordinate data. ,
The display processing unit performs a predetermined process on a portion indicated by the search target coordinate data and the numerical coordinate data, and makes the portion of the text data different.
The data processing apparatus according to claim 1 or 2, characterized by the above. A receiving step for receiving search target data and text data;
A search step of searching the data to be searched from the text data;
A coordinate data acquisition step of acquiring search target coordinate data indicating a position of the search target data in the text data;
A predetermined process is performed on the portion indicated by the search target coordinate data acquired in the coordinate data acquisition step, and the display processing step in which the portion of the text data is set in a different mode,
In the searching step, in addition to the data to be searched, other data to which the data to be searched belongs is searched,
In the coordinate data acquisition step, the comparison coordinate data indicating the position of the other data in the text data is acquired,
In the display processing step, a calculation is performed using the value of the search target coordinate data and the value of the comparison coordinate data, and a predetermined process is performed on a portion indicated by the search target coordinate data according to a calculation result.
A data processing method. Computer
A receiver for receiving search target data and text data;
A search unit for searching the data to be searched from the text data;
A coordinate data acquisition unit for acquiring search target coordinate data indicating a position of the search target data in the text data;
Performing a predetermined process on the portion indicated by the search target coordinate data acquired by the coordinate data acquisition unit, and functioning as a display processing unit that makes the portion of the text data different.
The search unit searches for other data to which the search target data belongs in addition to the search target data,
The coordinate data acquisition unit acquires comparison coordinate data indicating a position of the other data in the text data,
The display processing unit performs a calculation using a value of the search target coordinate data and a value of the comparison coordinate data, and performs a predetermined process on a portion indicated by the search target coordinate data according to a calculation result.
A program characterized by that.

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