JP2010257329A - Code converting device, code converting method, code converting program, code conversion supporting device, code conversion supporting method, and code conversion supporting program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a code converting device which converts an inputted word to a prescribed code corresponding to a word with a higher probability than before; and to provide a code converting method, a code converting program, a code conversion supporting device, a code conversion supporting method, and a code conversion supporting program. <P>SOLUTION: In the code converting device 3, even if there is described only a "fracture" as an input disease/injury name in a concerned item in diagnosis data inputted from an input device 2, the code converting device estimates that the "fracture" as the input disease/injury name means a "thighbone fracture" on the basis of a coded rule table 50 as far as there is a description of the "thighbone" in an auxiliary concerned item, can convert the input disease/injury name to an ICD-10 code 53 of a normal concerned disease/injury name of the "thighbone fracture", and thus can convert the input disease/injury name to a corresponding prescribed ICD-10 code 53 at a higher probability more than before. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to a code conversion device, a code conversion method, a code conversion program, a code conversion support device, a code conversion support method, and a code conversion support program. In addition, various medical terms are suitable for application to conversion into codes used in insurance companies such as life insurance companies and non-life insurance companies.

  In recent years, insurance companies have conducted insurance payment assessments based on medical certificates issued by medical institutions, and in order to easily analyze the disease trends of the insured who requests the insurance payment, For example, the “International Statistical Classification of Diseases and Related Health Problems (ICD)” code (hereinafter referred to as the “International Statistical Classification of Diseases and Related Health Problems”), which is determined by the World Health Organization (WHO) and recommended by the Ministry of Health, Labor and Welfare. The name of the disease is converted into an ICD code.

  In this way, the work of converting the name of the injury or illness handwritten on the medical certificate into the corresponding ICD code was performed by an operator who understood medical-related terms visually checking the contents of each medical certificate, and was described in the medical certificate. This is done by selecting an optimal ICD code corresponding to the name of the disease. For this reason, for example, when an operator visually checks the contents of millions of medical certificates sent each day and converts them into corresponding ICD codes, the work is performed for the worker. There is a problem that the burden is large and it is difficult to quickly convert to the ICD code. In particular, in order to receive an insurance payment assessment, it is necessary to submit a document converted to an ICD code by a predetermined date to a predetermined institution. It is rare.

  In order to solve such a problem, a disease name coding support apparatus is considered that includes a disease name input operation unit that performs an operation of inputting a character string that represents a wound name and a coding unit that codes a character string. (For example, refer to Patent Document 1). In practice, this disease name coding support device refers to a code master in which each phrase of a main wound name and modifier and an ICD code are associated with each other, and selects the wound name input by the disease name input operation unit. The main part is divided into main wound names and modifiers stored in the code master, and the divided wound names and modifiers can be automatically converted into codes.

  Thereby, in the disease name coding support device, it is possible to reduce the burden on the worker by eliminating the trouble of the operator visually confirming the contents of the medical certificate and converting each wound disease name into the corresponding ICD code. At the same time, since the corresponding injury and disease names are automatically encoded, it is possible to realize faster code conversion processing than when individual workers convert codes individually. ing.

JP 2004-220167 A

  By the way, since the notation method of the names of wounds and illnesses entered in the medical certificate is left to the discretion of individual doctors, various modifiers that can more accurately express the patient's pathology and medical condition are also written on the medical certificate. The names of wounds and diseases associated with the ICD code in advance (hereinafter referred to as the standard names of diseases and sicknesses), such as the names of wounds and diseases that have been abbreviated, and the names of wounds and diseases that have been abbreviated to the standard notation of the name of the World Health Organization. The name of the injury or not can be entered.

  Therefore, in the disease name coding support apparatus having such a configuration, even if a wound name having a word form that does not completely match the standard wound name associated in advance with the ICD code is entered in the medical certificate, it is entered. Even if the injury / illness name partially matches the word form of the standard injury / illness name, the injury / illness name entered in the medical certificate cannot be converted into a predetermined ICD code based on the standard injury / illness name stored in the code master. There was a problem.

  The present invention has been made in consideration of the above points, a code conversion device, a code conversion method, a code conversion program, a code conversion support device, which can convert an input word into a corresponding predetermined code with higher probability than before. An object is to propose a code conversion support method and a code conversion support program.

  In order to solve such a problem, the code conversion support device according to claim 1 of the present invention includes an acquisition unit that acquires medical-related document data created for each patient, a plurality of medical-related terms, A storage unit in which a predetermined code is stored in association with each medical-related term and an input word of the medical-related document data are decomposed, and all characters including one character are extracted from the input word. For each character number unit from the character to the total number of characters of the input word, an input word extraction unit that extracts all adjacent character strings consisting of the character number unit from the input word, and all the characters consisting of one character are related to the medical A term that is extracted from a term, and for each character number unit from the one character to the total number of characters of the medical related term, all adjacent character strings composed of the character number unit are extracted from the medical related term The number of matches in which the plurality of characters and character strings extracted from the medical-related terms match the output unit and the plurality of characters and character strings extracted from the input word are calculated for each unit of the number of characters. The matching number calculation unit calculates the degree of matching between the input word and the medical-related term for each character number unit by multiplying the matching number by a weighting coefficient that is different for each character number unit. And calculating the frequency of frequent occurrences, leveling the frequency of occurrences to calculate a leveled frequency of frequent occurrences, and a leveling frequency of frequent calculation of each of the medical related terms calculated by the leveled frequency of frequent occurrences And a determination unit that selects a predetermined number of the medical-related terms that are highly likely to match the input word based on the leveling frequency, and determines a ranking order.

  The code conversion support apparatus according to claim 2 of the present invention is configured such that when the leveling frequency of one medical related term is the same as the leveling frequency of another medical related term, the input word and the one A character number difference calculating unit that calculates a difference in the number of characters from the medical related term and a difference in the number of characters between the input word and the other medical related term, and the determining unit includes the one medical related term and the other Among the medical related terms, the ranking ranking is given with priority given to the one medical related term or the other medical related terms having a small difference in the number of characters.

  In the code conversion support device according to claim 3 of the present invention, the coincidence number calculation unit does not match a character composed of one character extracted from the input word and a character composed of one character extracted from the medical related term. In this case, the calculation process for calculating the number of matches of the medical-related terms is stopped, and when the calculation process by the match number calculation unit is stopped, the term extraction unit cancels the other remaining data stored in the storage unit. All the one-character characters are extracted from the medical-related terms, and for each character number unit from the one character to the total number of characters of the medical-related terms, all adjacent character strings consisting of the character number units are It is characterized by extracting from related terms.

  According to a fourth aspect of the present invention, in the code conversion support method, an acquisition step of acquiring medical related document data created for each victim by an acquiring unit, and an input word of the medical related document data by an input extracting unit. Decomposing and extracting all characters consisting of one character from the input word, and for each character number unit from the one character to the total number of characters of the input word, inputting all adjacent character strings consisting of the character number unit An input word extraction step for extracting from a word, and reading out any medical related term from a storage unit in which a plurality of medical related terms associated with a predetermined code are stored, and the term extracting unit extracts all characters consisting of one character In addition to extracting from the medical related terms, for each character number unit from the one character to the total number of characters of the medical related term, all adjacent character strings consisting of the character number unit are preceded. A plurality of characters and character strings extracted from the medical-related terms are matched with a plurality of characters and character strings extracted from the input words by the term extraction step for extracting from the medical-related terms and the matching number calculation unit. A matching number calculating step for calculating a matching number for each character number unit, and by multiplying the matching number by a weighting coefficient that differs for each character number unit, the input word and the medical data for each character number unit After calculating the degree of coincidence with related terms and adding all the degree of coincidence to calculate the frequency, the leveling frequency is leveled and the leveling frequency is calculated by the leveling frequency calculation unit A predetermined number that is highly likely to match the input word based on the leveling frequency of each medical-related term calculated by the leveling frequency calculation unit by the level calculation step and the determination unit It is characterized in further comprising a determining step of determining a ranking order by selecting the medical terminology.

  Further, in the code conversion support method according to claim 5 of the present invention, after the leveling frequency calculation step, the leveling frequency of one medical related term and the leveling frequency of another medical related term A character number difference calculating step of calculating a character number difference between the input word and the one medical related term and a character number difference between the input word and the other medical related term by a character number difference calculating unit, respectively. And the determination step determines the ranking ranking giving priority to the one medical related term or the other medical related term having a small difference in the number of characters among the one medical related term and the other medical related term. It is characterized by doing.

  Further, in the code conversion support method according to claim 6 of the present invention, in the coincidence number calculating step, the character consisting of one character extracted from the input word does not match the character consisting of one character extracted from the medical related term. In this case, the calculation process for calculating the number of matches of the medical-related terms is stopped, and when the calculation process by the match number calculation unit is stopped, the term extraction step All the one-character characters are extracted from the medical-related terms, and for each character number unit from the one character to the total number of characters of the medical-related terms, all adjacent character strings consisting of the character number units are It is characterized by extracting from related terms.

  According to a seventh aspect of the present invention, there is provided a code conversion support program for a computer, wherein an acquisition step of acquiring medical related document data created for each patient by an acquiring unit, and an input extracting unit, the medical related document The input word of the data is decomposed, and all the characters consisting of one character are extracted from the input word, and each adjacent character consisting of the character number unit for each character number unit from the one character to the total number of characters of the input word. An input word extraction step for extracting all columns from the input word, and an arbitrary medical related term is read out from a storage unit in which a plurality of medical related terms associated with a predetermined code are stored, and the term extracting unit extracts one character Are extracted from the medical related term, and for each character number unit from the one character to the total number of characters of the medical related term, from the character number unit A plurality of words extracted from the medical-related terms with respect to a plurality of characters and character strings extracted from the input word by a term extraction step for extracting all adjacent character strings from the medical-related terms, and a matching number calculation unit A matching number calculation step for calculating the number of matches of the character and the character string for each unit of the number of characters, and multiplying the number of matches by a weighting coefficient that is different for each unit of the number of characters. For each unit, the degree of coincidence between the input word and the medical-related term is calculated, and the degree of frequency is calculated by adding all these degrees of coincidence, and then the level of the frequency is equalized to obtain the leveled frequency. The input word based on the leveling frequency of each medical-related term calculated by the leveling frequency calculation unit by the leveling frequency calculation step calculated by the level calculation unit and the determination unit Is intended for executing a determining step of determining a ranking order by selecting it said most likely to match a predetermined number of medical terms.

  The code conversion device according to claim 8 of the present invention includes an acquisition unit that acquires medical-related document data that is created for each patient and that is classified into various types of information related to the patient and that is input for each item. An encoding target item and an auxiliary item are selected in advance from the plurality of items of document data, and the auxiliary item is associated with a predetermined search keyword set for the encoding target item. A table storage that stores a coding rule table in which a predetermined auxiliary search keyword is set and a code that can be inferred from a combination of the search keyword and the auxiliary search keyword is previously associated with the search keyword and the auxiliary search keyword pair And the input word of the corresponding item corresponding to the encoding target item of the medical related document data acquired by the acquisition unit When a part or all of the input keywords match the search keyword and a part or all of the input words of the auxiliary corresponding item corresponding to the auxiliary item match the auxiliary search keyword associated with the search keyword, the search A code conversion unit that converts an input word of the corresponding item into the code that is associated in advance with a pair of a keyword and the auxiliary search keyword is provided.

  In the code conversion device according to claim 9 of the present invention, as the encoding target item, an injury name item in which an injury name of the patient is input, or an operation name item in which an operation name of the injury is input. Item selection unit for selecting any of them, and as an auxiliary item, at least a cause of injury or illness that is input as a cause of injury or illness, a region that is input as a part of the body where the injury or illness is input, or a combination caused by the injury or illness And an auxiliary item selection unit for selecting either a complication item in which an illness is input or a memo item in which a finding by a doctor is input.

  The code conversion device according to claim 10 of the present invention sets a plurality of arbitrary medical-related terms as the search keyword, and sets a plurality of arbitrary medical-related terms as the auxiliary search keyword. And an auxiliary search keyword setting unit.

  In addition, the code conversion method according to claim 11 of the present invention is an acquisition step in which the acquisition unit acquires medical related document data that is created for each patient and is classified into various types of information related to the patient and is input for each item. An encoding target item and an auxiliary item are selected in advance from the plurality of items of the medical related document data, and are associated with a predetermined search keyword set for the encoding target item, and A coding rule table in which a predetermined auxiliary search keyword is set in the auxiliary item and a code that can be inferred from a combination of the search keyword and the auxiliary search keyword is associated with the search keyword and the auxiliary search keyword pair in advance. Using part or all of the input words of the corresponding item corresponding to the encoding target item of the medical document data, It is determined whether or not the search keyword matches, and whether or not a part or all of the input words of the auxiliary corresponding item corresponding to the auxiliary item matches the auxiliary search keyword associated with the search keyword. A determination step determined by the determination unit, and a part or all of the input words of the corresponding item match the search keyword, and a part or all of the input words of the auxiliary corresponding item correspond to the search keyword A code conversion step of converting the input word of the corresponding item into the code previously associated with the search keyword and the pair of the auxiliary search keyword by the code conversion unit when the auxiliary search keyword is matched. It is characterized by.

  In the code conversion method according to claim 12 of the present invention, before the obtaining step, as the encoding target item, a wound name item in which a wound name of the wounded patient is input or an operation name of the wounded patient is input. An item selection step for selecting any of the operation name items to be input by the item selection unit, and as the auxiliary item, at least the cause of the injury and the cause of the injury and the name of the body part where the injury or injury has occurred are input. An auxiliary item selection step for causing the auxiliary item selection unit to select any one of a site item to be processed, a complication item in which a complication caused by the disease is input, and a memo item in which a doctor's finding is input. It is characterized by.

  The code conversion method according to claim 13 of the present invention includes a search keyword setting step of setting a plurality of arbitrary medical related terms as the search keyword by the search keyword setting unit after the auxiliary item selection step, And an auxiliary search keyword setting step for setting a plurality of arbitrary medical-related terms as auxiliary search keywords by an auxiliary search keyword setting unit.

  According to a fourteenth aspect of the present invention, there is provided a code conversion program for a computer, which is created for each patient and obtains medical-related document data that is classified into various types of information related to the patient and input by item. And an encoding target item and an auxiliary item are selected in advance from the plurality of items of the medical document data, and a predetermined search keyword set for the encoding target item is selected. Correspondingly, a predetermined auxiliary search keyword is set in the auxiliary item, and a code that can be inferred from a combination of the search keyword and the auxiliary search keyword is previously associated with the pair of the search keyword and the auxiliary search keyword. Corresponding item corresponding to the item to be encoded in the medical document data using the encoding rule table It is determined whether or not a part or all of the input word matches the search keyword, and a part or all of the input word of the auxiliary corresponding item corresponding to the auxiliary item is associated with the search keyword. A determination step for determining whether or not it matches the auxiliary search keyword, and a part or all of the input word of the corresponding item matches the search keyword and the input word of the auxiliary corresponding item When a part or all of them match the auxiliary search keyword associated with the search keyword, the code conversion unit inputs the corresponding item into the code previously associated with the search keyword and the auxiliary search keyword pair. And a code conversion step for converting words.

  According to the code conversion support device of claim 1 of the present invention, the code conversion support method of claim 4 and the code conversion support program of claim 7, there is a possibility that the input word is intended based on the leveling frequency. It is possible to objectively select a standard injury / illness name and present the medical-related terms with rankings to the operator. Possible codes can be easily selected, and thus the input word can be converted into a corresponding predetermined code with higher probability than before.

  According to the code conversion device of claim 8 of the present invention, the code conversion method of claim 11 and the code conversion program of claim 14, it is impossible to infer a predetermined code by using only input words in medical related document data. Even if only the input word is in the corresponding item, based on the coding rule table, a predetermined code intended by the input word of the item is inferred from the relationship between the input word of the corresponding item and the input word of the auxiliary corresponding item Thus, the input word can be converted into a corresponding predetermined code with higher probability than before.

It is the schematic which shows the whole structure of a code conversion system. 5 is a flowchart showing a high-speed processing mode, an intermediate processing mode, and a high-precision processing mode. It is the schematic which shows each item of a medical certificate. It is the schematic where it uses for description of the outline of an encoding rule. It is a block diagram which shows the circuit structure of a code converter. It is the schematic which shows the structure of an encoding rule table. It is the schematic which shows the structure of a setting screen. It is the schematic which shows the combination of the encoding object item and an auxiliary item. It is a flowchart which shows a code conversion process procedure. It is a flowchart which shows a scoring process procedure. It is a flowchart which shows the leveling frequent appearance degree calculation processing procedure. It is the schematic where it uses for description at the time of calculating the coincidence number of each character which consists of one character of an input sickness name and a standard sickness name. It is the schematic where it uses for description at the time of calculating the coincidence number of each character string which consists of two characters of an input sickness name and a standard sickness name. It is the schematic which shows the structure of the encoding object item by other embodiment, a 1st auxiliary | assistant item, and a 2nd auxiliary | assistant item.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

(1) Overall Configuration of Code Conversion System According to the Present Invention In FIG. 1, reference numeral 1 denotes a code conversion system, an input device 2 operated by an operator who performs an operation of inputting a medical certificate, and a code conversion device 3 operated by an operator. The management apparatus 4 managed by the health company is connected to each other via the network 5. The input device 2 is a general personal computer on which a program for performing input processing using text data is installed. For example, a sentence written on a medical certificate made of a paper medium received from an insurance company is written by an operator. When it is input as text data via the operation unit, it can be transmitted to the code conversion device 3 as medical certificate data.

  When the code conversion device 3 takes in the medical certificate data from the input device 2 via the network 5, the code conversion processing is executed to obtain the input disease name obtained based on the medical certificate data as the corresponding ICD-10. Converted into a code (International Statistical Classification of Diseases and Related Health Problems, Tenth Revision) code established by the World Health Organization (WHO) The data can be transmitted to the management device 4 as converted data. Thus, based on the encoded data stored in the management device 4, the insurance company can easily analyze the illness trend of each insured who requests payment of insurance money based on the ICD-10 code. Has been made.

  In practice, when executing the code conversion process, the code conversion apparatus 3 performs a high-speed processing mode M1, an intermediate processing mode M2, and a high-precision processing mode as shown in FIG. Any one of M3 can be selected.

(1-1) High-Speed Processing Mode When the code conversion device 3 takes in the medical certificate data obtained through the input operation by the operator in the input device 2 through the network 5 in the high-speed processing mode M1 ( In step SP1a), the rule-based encoding process (step SP2a) according to the present invention can be executed.

  Here, as shown in FIG. 3, a personal information item in which, for example, the name, occupation, sex, and date of birth of the patient are entered in the medical certificate 7 on which the input operation is performed by the operator in the input device 2. 8, Injury / Sickness Identification Item 9 (described later), Previous Disease / Disease Item 10 in which the insured's history and chronic illness are entered, and the doctor's name or department name that the insured had previously attended Pre-medicine item 11, medical treatment period item 12 in which the diagnosis period from the first visit to the final visit or the present time is entered, hospitalization period item 13 in which the period of hospitalization is entered, the reason for discharge and the insured person at discharge The discharge reason status item 14 in which the medical condition and the like are entered, the sickness and memo item 15 (described later), the operation name item 16 in which the name of the operation performed on the insured person, and the doctor's findings regarding the operation are entered. Surgical memo item 17 is provided.

  Injury and sickness identification item 9 of the medical certificate is filled in with the name of the sickness and sickness item 19 in which the name of the wound or sickness causing the hospitalization or disability is entered, the injured and sickness cause item 20 in which the cause of injury or sickness is entered, and the body part where the injury or illness has occurred It is comprised from the site | part item 21 to be performed, and the complication item 22 in which the complication which developed by the wound disease is written.

  In addition, the injury and memo memo item 15 of the medical certificate 7 includes the initial examination memo item 24 in which the background from the injury and illness to the first visit and the findings of the doctor at the first examination are entered, and the progress of symptoms such as examination contents, examination results, treatment contents, and progress The symptom progress memo item 25 is filled in, and the existing disability memo item 16 in which the existing disability of the insured person and the influence of the disability on the current illness are entered. As described above, since the attribute information about the victim is completely different for each item, the attribute information obtained about the victim is different for each item so that the medical certificate 7 can instantly grasp necessary attribute information for each item. Has been made.

  In the input device 2, all texts classified and entered by the operator for each item of the medical certificate 7 are input as text data through the operation unit as text data. The input words inputted every time can be put together to generate medical certificate data, which can be sent to the code conversion device 3.

  Here, the code conversion device 3 according to the present invention converts the ICD-10 code from a plurality of items such as the personal information item 8 included in the medical certificate data, the injury specific item 9 and the past / disease item 10. Two items, a target item to be coded and an auxiliary item, are arbitrarily selected by the operator. Further, the code conversion device 3 includes a search keyword to be searched for whether or not it is included in the input word in the item (corresponding item) selected as the item to be encoded, and the item selected as the auxiliary item ( The auxiliary search keyword to be searched for whether or not it is included in the input word in the auxiliary applicable item) is set, and a code in which a predetermined ICD-10 code is associated with the search keyword and the auxiliary search keyword pair An optimization rule table (described later) is stored in advance.

  Specifically, in this coding rule table, for example, the wound name / item 19 is selected as the item to be coded, and the wound name “XX” (for example, a fracture) is set as the search keyword for the wound name / item 19. Has been. In the coding rule table, the site item 21 is selected as an auxiliary item, and the site name “XX” ( For example, the thigh) is set. Furthermore, in the coding rule table, the name of the official injury or illness (for example, the name of the injury or illness associated with the name “XX” (for example, a fracture) of the search keyword and the part name “XX” (for example, the thigh) of the auxiliary search keyword. (Femoral fracture) and the ICD-10 code (for example, code “9999”) of the official wound name to the pair of the wound name “XX” of these search keywords and the part name “XX” of the auxiliary search keyword Are associated.

  When the code conversion device 3 fetches the medical certificate data from the input device 2, the code conversion table 3 uses the encoding rule table as the rule-based encoding process, and the code of the medical certificate 7 in the medical certificate data as shown in FIG. It is determined whether or not the search keyword “XX” is included in the input disease name of the disease name item 19 (corresponding item) selected as the item to be activated, and the medical certificate 7 It is determined whether or not the input part name of the part item 21 (auxiliary applicable item) selected as the auxiliary item includes the auxiliary search keyword “XX”.

  As a result, the code conversion device 3 includes the search keyword injury name “XX” (fracture) in the input disease name in the injury name item 19 of the medical certificate data, and the input site name of the region item 21 in the medical certificate data. If it is determined that the part name “xx” (thigh) of the auxiliary search keyword is included in the name, it is inferred from the wound name “XX” (fracture) and the part name “xxx” (thigh). The input wound name in the wound name item 19 can be converted into the ICD-10 code (in this case, code “9999”) of the formal wound name (femoral fracture) set in advance as the formal wound name. .

  As described above, the code conversion apparatus 3 cannot convert the ICD-10 code of “femoral fracture” only by the input wound name “fracture” of the wound name item 19 as the encoding target item in the medical certificate data, but the wound name item. In consideration of the input part name “thigh” of the part item 21 as an auxiliary item apart from 19, the input part name “fracture” of the wound name item 19 and the input part name “thigh” of the part item 21 are also considered. From the above, it is presumed that the input injury / sickness name “fracture” will mean the official injury / sickness name “femoral fracture”, and the ICD-10 code indicating the official injury / sickness name “femoral fracture” ] Can be converted.

  Then, as shown in FIG. 2, in the high-speed processing mode M1, the code conversion device executes only such a rule-based encoding process, thereby converting the input disease name into a predetermined ICD-10 code. The digitized data can be quickly generated and transmitted (data output) to the management device 4 (step SP3a).

(1-2) Intermediate processing mode When the code conversion device 3 takes in the medical certificate data from the input device 2 in the intermediate processing mode M2 (step SP1b), the notation fluctuation correction processing (step SP2b) and the morphological analysis processing (step SP3b) ), The above-described rule-based encoding process (step SP4b) can be executed.

  Further, the code conversion device 3 executes a simple matching process (step SP5b) on the input disease name that cannot be converted in the rule-based coding process, and is obtained by the rule-based coding process and the simple matching process. The encoded data can be transmitted (data output) to the management device 4 (step SP6b).

  In practice, the code conversion device 3 uses a standard word (for example, the kanji character notation “skin” for the fluctuation word of each medical certificate data (for example, hiragana notation “skinfu” or the lowercase notation for stuttering “virus”) as the notation fluctuation correction processing in step SP2b. ”Or a capital letter of the roar“ virus ”), and as a morphological analysis process in step SP3b, the input words of the medical certificate data are decomposed into parts of speech such as Japanese nouns, verbs, and adjectives. By the way, `` fluctuating words '' here refers to words that consist of inconsistent notation, such as katakana notation, hiragana notation, lowercase notation of stuttering, kana usage, etc. Standard word means the same meaning as fluctuation word A phrase for unifying the fluctuation word.

  Further, as the simple matching process in step SP5b, the code conversion device 3 matches the previously stored standard wound name of the wound name master with the part of speech that could not be converted by the rule-based coding process, and diagnoses it. It is determined whether or not each part of speech of the book data matches the standard injury / illness name. As a result, when the part of speech of the medical certificate data coincides with any of the standard sickness names in the wound name master, it can be converted into an ICD-10 code previously associated with the matched standard sickness name.

  As described above, in the code conversion device 3, when the intermediate processing mode M2 is selected, in addition to each processing in the high-speed processing mode M1, in addition to executing the notation fluctuation correction processing, the morphological analysis processing, and the simple matching processing, Although the processing speed is slower than that in the high-speed processing mode M1, the accuracy of code conversion can be improved.

(1-3) High-precision processing mode On the other hand, when the code conversion device 3 takes in the medical certificate data from the input device 2 in the high-precision processing mode M3 (step SP1c), the notation fluctuation correction processing (step SP2c), After executing the morphological analysis process (step SP3c) and the rule-based encoding process (step SP4c) described above, the simple matching process (step SP5c) may be executed.

  In addition to this, the code conversion device 3 further performs scoring processing (step SP6c) for the input disease name that could not be code-converted by the rule-based encoding processing and simple matching processing in the high-precision processing mode M3. As a result, the name of the standard injury / sickness that is likely to be the same as the input injury / sickness name is estimated, and based on the estimation result, the standard injury / sickness name limited to a predetermined number is displayed in the order of the highest possibility of corresponding The ranking table can be presented to the operator via the display unit.

  As a result, the code conversion device 3 selects the standard injury / sickness name that the operator has assumed to be the same as the input injury / sickness name from only a predetermined number of standard injury / sickness names that are selected as likely to be the same as the input injury / sickness name. Thus, the operator can reduce the burden of selecting a standard injury / sickness name that will fall under the input injury / sickness name from a large number of standard injury / sickness names in the injury / sickness name master.

  When a standard wound name is selected by the operator, the code conversion device 3 converts the input wound name into an ICD-10 code associated with the standard wound name, and these rule-based encoding process, simple matching process, or scoring The encoded data obtained by the processing can be transmitted (data output) to the management device (step SP7c).

(2) Configuration of Code Conversion Device As shown in FIG. 5, the code conversion device 3 has a microcomputer configuration including a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory) and the like (not shown). Control unit 31, display unit 32 that can display various information, operation unit 33 that can input various commands, notation fluctuation processing unit 34, morphological analysis unit 35, and acquisition connected to network 5 such as the Internet Network interface 36 as a unit, code conversion unit 37 that executes code conversion processing, scoring processing unit 38 that executes scoring processing, notation fluctuation database 39, various data such as medical certificate data and setting screen data Configuration in which a general storage unit 40 that stores information and a code conversion database 41 are connected to each other via a bus 42 A.

  The control unit 31 loads various programs such as a basic program stored in the ROM in advance, a notation fluctuation conversion processing program, a morpheme analysis program, a coding rule processing program, and a scoring processing program into the RAM and starts up the program. Then, the various functions in the code conversion device 3 are controlled in an integrated manner, and the medical certificate data is converted into codes using the data stored in the notation fluctuation database 39, the overall storage unit 40, and the code conversion database 41. Has been made to get.

  Also, the notation fluctuation database 39 stores a notation fluctuation dictionary in which fluctuation words such as katakana notation, hiragana notation, stuttering is lowercase notation, kana spelling, and the like and their standard words are associated with each other. The notation fluctuation dictionary, for example, is associated with the standard word “skin” written in kanji for the fluctuation word “skin” written in hiragana, and for the fluctuation word “virus” written in lower case. The standard word “virus” in which the sound is capitalized is stored in association with each other.

  The code conversion database 41 is provided with a wound disease name master database 43 as a storage unit and an encoding rule database 44 as a table storage unit, and the wound name master database 43 stores the wound name master in advance. Yes. In the wound name master, a plurality of standard wound names are stored, and a unique ICD-10 code is stored in association with each standard wound name. In this case, for example, in the wound name master, the ICD-10 code “11111” is associated with the standard wound name “lung cancer”, and the ICD-10 code “22222” is associated with the standard wound name “stomach cancer”. It is attached.

  In addition to this configuration, as shown in FIG. 6, the disease name item 19 is selected as the encoding target item 46 and the site item 21 is selected as the auxiliary item 47 in the encoding rule database 44. An encoding rule table 50 is stored. In the coding rule table 50, a plurality of search keywords 51 are set for the disease name item 19, and an auxiliary search keyword 52 is set for the region item 21 in association with each search keyword 51. A predetermined ICD-10 code 53 is associated with each pair of auxiliary search keywords 52.

  In practice, in this coding rule table 50, the name of the sickness “xxxx” is set as the search keyword 51 in the sickness name item 19 and the name of the sickness “xxxx” of the search keyword 51 is set. Correspondingly, the part name “XXX” is set as the auxiliary search keyword 52 of the auxiliary item 47, the injury / illness name “xxx” of these search keywords 51 and the part name “XXX” of the auxiliary search keyword 52. "B001" is set as the ICD-10 code 53 for the pair "."

  Further, in the coding rule table 50, the name of the disease “XXXX” is set as the search keyword 51, and the auxiliary item 47 of the auxiliary item 47 is associated with the disease name “XXXX” of the search keyword 51. The site name “□□□□” is set as the auxiliary search keyword 52, and the ICD-10 is set to the pair of the disease name “× ○ × ○” of the search keyword 51 and the site name “□□□□” of the auxiliary search keyword 52. “B011” is set as the code 53.

  Further, in the coding rule table 50, the name of the disease “XXXXX” is set as the search keyword 51, and the auxiliary item 47 is associated with the disease name “XXX” of the search keyword 51. A part name “ΔΔΔΔ” is set as the auxiliary search keyword 52, and ICD-10 is assigned to the pair of the wound name “XXXXX” of the search keyword 51 and the part name “ΔΔΔΔ” of the auxiliary search keyword 52. “B111” is set as the code 53.

  Here, such an encoding rule table 50 includes the encoding target item 46, the auxiliary item 47, the search keyword 51, the auxiliary search keyword 52, and the like via the setting screen displayed on the display unit 32 in the code conversion device 3. It can be created by setting the ICD-10 code 53.

  Specifically, the control unit 31 of the code conversion device 3 displays a setting screen on the display unit 32 by the operator via an item selection unit, an auxiliary item selection unit, a search keyword setting unit, and an operation unit 33 as an auxiliary search keyword. When instructed to display, the setting screen data is read from the general storage unit 39 and sent to the display unit 32. The display unit 32 displays a setting screen 60 as shown in FIG. 6 based on the data of the setting screen sent.

  The setting screen 60 includes a “coding rule finding” area 61 for setting basic information such as a document name to be subjected to code conversion processing and an input word converted into a predetermined code, and an encoding target item 46. And an “encoding rule condition” area 62 for setting the auxiliary items 47 and the like, and an “encoding rule processing” area 63 for setting the formal name associated with the predetermined code, the code, etc. Is provided.

  Specifically, the “coding rule finding” area 61 is input to a coding rule name field 64 that is a text box in which a formal name with which a predetermined code is originally associated is input, and the coding rule name field 64. To select the field of the input word ("Injury" name or "Surgery" name) pull-down type code system column 65 and the type of medical certificate such as hospitalization / surgery medical certificate or death medical certificate Pull-down form type column 66 and a pull-down type encoding target item field 67 for selecting the encoding target item 46 from the items in the document selected in the form type field 66.

  In the case of this embodiment, in FIG. 7, in the “coding rule found” field 61, the formal injury name “femoral fracture” is entered in the coding rule name field 64 by the operator, and the code system field 65 “Wound and sickness” is selected by the user. In the “coding rule finding” column 61, the “hospital / surgical diagnosis” indicating the medical certificate 7 in the form type column 66 is selected by the operator, and the encoding target item column 67 is encoded. An example is shown in which the operator selects the “injury and disease name triggered by hospitalization (surgery)” indicating the injury and disease name item 19 as the target item 46.

  Further, in the “coding rule condition” area 62, in order to select the coding target item 46 in the “1” column 69, similarly to the coding target item column 67 in the “coding rule found” column 61 described above. The pull-down encoding target item setting field 70 is provided. The encoding target item setting field 70 includes a search term field 71 composed of a text box for inputting a search keyword 51, a place condition field 72 composed of a pull-down method, a place condition term phrase field 73 composed of a text box, A matching condition column 74 having a pull-down method for selecting complete match or partial match is provided.

  Here, the “coding rule condition” area 62 is configured such that, for example, “forward”, “immediately”, “immediately”, or “rearward” can be selected in the place condition column 72 by a pull-down method. Conditioning can be performed as to whether or not the input word input in the phrase column 73 is in the “front”, “immediately”, “immediately”, or “backward” position selected in the place condition column 72 with respect to the search keyword 51. Has been made to get.

  In addition, the “coding rule condition” area 62 is provided with a pull-down type auxiliary item column 77 for selecting the auxiliary item 47 in the “2” column 76. The search term field 78 composed of a text box for inputting the auxiliary search keyword 52, the place condition field 79 composed of a pull-down method, and the place condition term phrase field 80 composed of a text box are selected to be exact or partial match. A matching condition column 81 composed of a pull-down method is provided.

  Incidentally, here, the complete match means that the character of the input word of the disease name item 19 set as the encoding target item 46 and the character of the search keyword 51 all match, and the partial match means the search It means that the character of the keyword 51 is included in the input word of the sick name item 19.

  The “coding rule condition” area 62 is configured such that, for example, “front”, “immediately”, “immediately”, or “rearward” can be selected in the place condition column 79 by a pull-down method. Conditioning can be performed as to whether or not the input word input in the column 80 is in the “front”, “immediately”, “immediately”, or “backward” position selected in the place condition column 79 with respect to the auxiliary search keyword 52. Has been made to get.

  The “coding rule processing” area 63 includes a coding master code column 82 including a text box for inputting an identification number for managing information to be converted into code, a code value column 83 into which a predetermined code is input, and “ Similar to the coding rule name field 64 in the “coding rule finding” area 61, a name field 84 for entering a formal input word such as a formal injury / illness name is provided, and the code value field 83 includes, for example, an ICD-10 code. 53 can be input.

  Here, the encoding target items 46 that can be set by the pull-down method in the encoding target item setting field 70 in the “coding rule condition” area 62 are, for example, the injury name item 19 and the surgery name item 16 ( Fig. 3). Then, when the wound name item 19 is selected as the coding target item 46 by the pull-down method in the coding target item setting column 70, the wound cause / effect cause item 20, the complication item 22, the past / disease disease in the auxiliary item column 77. Item 10, site item 21, injury / illness memo item 15, occupation item 8a, hospital / clinic item (not shown) indicating the hospital / clinic department to which the doctor belongs, and doctor name item (not shown) Can be set as the auxiliary item 47 by the pull-down method (FIG. 2).

  Further, when the surgery name item 16 is selected as the coding target item 46 by the pull-down method in the encoding target item setting column 70, in the auxiliary item column 77, the operation trigger injury disease name item 16a, the injury cause item 16b, the past disease Any one of the chronic disease item 10, the operation location item 16c, and the operation memo item 17 can be set as the auxiliary item 52 by the pull-down method (FIG. 2).

  The control unit 31 codes each content set in the “coding rule found” area 61, the “coding rule condition” area 62, and the “coding rule processing” area 63 on the setting screen 60 via the operation unit 33. The data can be stored in the conversion rule database 44.

(2-1) Code Conversion Processing Next, the code conversion processing procedure of step SP4c, step SP5c, and step SP6c in the high-precision processing mode M3 shown in FIG. 2 will be described in detail with reference to the flowchart of FIG. Incidentally, here, in the setting screen 60, the disease name item 19 is set as the encoding target item 46, and the part item 21 is set as the auxiliary item 47, and the place condition fields 72 and 79 and the place condition items are used. A case will be described below where neither the word / phrase columns 73 and 80 are set, but the complete match condition is set in the match condition columns 74 and 81.

  In this case, the code conversion unit 37 reads out the medical certificate data for executing the code conversion process from the overall storage unit 40, and also inputs the name of the input injury / illness input into the injury / disorder name item 19 of the encoding target item 46 and the auxiliary item 47. The input part name input to the part item 21 is read from the medical certificate data. Thereafter, as shown in FIG. 9, the code conversion unit 37 enters from the start step of the routine RT1 and proceeds to step SP1, and the wound name item 19 corresponding to the encoding target item 46 of the medical certificate data (hereinafter referred to as “corresponding”). It is determined whether or not the input disease name of the item (referred to as item) matches the search keyword 51 and the word form. If an affirmative result is obtained in step SP1, this indicates that the input disease name of the corresponding item and the word form of the search keyword 51 are completely matched. At this time, the code conversion unit 37 proceeds to the next step SP2. .

  In step SP <b> 2, the code conversion unit 37 determines whether or not the input part name of the part item 21 corresponding to the auxiliary item 47 of the medical certificate data (hereinafter referred to as an auxiliary applicable item) matches the auxiliary search keyword 52. to decide. If an affirmative result is obtained in step SP2, this means that the input part name of the auxiliary corresponding item and the word form of the auxiliary search keyword 52 are completely matched. At this time, the code conversion unit 37 performs the next step SP3. Move on.

  In step SP3, the code conversion unit 37 corresponds in advance to a pair of the search keyword 51 that matches the input disease name (input word) of the corresponding item and the auxiliary search keyword that matches the input part name (input word) of the auxiliary corresponding item. Coded data obtained by converting the input injury / illness name into the given ICD-10 code 53 attached is generated, the process proceeds to the next step SP4, and the above-described processing is terminated. In this way, the code conversion unit 37 executes the processing up to step SP1, step SP2 and step SP3 as the coding rule processing, so that two items, that is, the corresponding item and an auxiliary corresponding item different from the corresponding item. On the basis of each input word that is divided into two, the input disease name of the corresponding item can be converted into a predetermined ICD-10 code 53.

  On the other hand, if a negative result is obtained in step SP1 described above, this indicates that the input disease name of the corresponding item and the word form of the search keyword 51 did not completely match. At this time, the code conversion unit 37 Then, the process proceeds to the next step SP5.

  If a negative result is obtained in step SP2 described above, this indicates that the input part name of the auxiliary corresponding item and the word form of the auxiliary search keyword 52 did not completely match. At this time, the code conversion unit 37 moves to the next step SP5.

  In step SP5, the code conversion unit 37 reads out the wound name master from the coded database 44, executes a simple match process for matching each standard wound name in the wound name master with the input wound name, and these wound name masters. It is determined whether or not the word form of any one of the plurality of standard wound names matches the input wound name.

  If an affirmative result is obtained in step SP5, this indicates that the word form of any one of the plurality of standard wound names in the wound name master and the input wound name completely matches, and code conversion is performed. The unit 37 proceeds to the next step SP6.

  In step SP6, the code conversion unit 37 reads out the ICD-10 code associated with the standard wound name that completely matches the input wound name in the wound name master, and converts the input wound name into the ICD-10 code. The coded data thus generated is generated, the process proceeds to the next step SP4, and the above-described processing is terminated.

  On the other hand, if a negative result is obtained in step SP5, this indicates that the word form of one of the standard wound names in the wound name master and the input wound name does not completely match, and code conversion is performed at this time. The unit 37 proceeds to the next subroutine SRT2, performs a scoring process described later, and then proceeds to step SP4 to end the above-described process.

(2-2) Scoring process Next, the scoring process will be described. In practice, as shown in FIG. 10, the scoring processing unit 38 enters from the start step of the subroutine SRT2 and moves to step SP10. For example, from the input name of the disease with m characters, a plurality of characters whose character unit is one character and , A plurality of character strings composed of a combination of two adjacent characters having two character units, a plurality of character strings composed of a combination of three adjacent characters having three character units,... ) Extract a plurality of character strings composed of combinations of (m-1) characters adjacent to each other and a character string composed of m characters (that is, the input disease name itself), and proceed to the next step SP11.

  Specifically, for example, when the input disease name is “malignant intestinal tumor” consisting of 5 characters, the “malignant intestinal tumor” is decomposed and the word “evil”, the word “sex”, and the word “intestine” consisting of 1 character. ”, The word“ tumor ”, the word“ tumor ”, the word“ malignant ”composed of two adjacent letters, the word“ sexual intestine ”, the word“ enteroma ”and the word“ tumor ”, and the word“ comprising three letters ” Malignant bowel ", word" sexual enteroma "and word" intestinal tumor ", adjacent four-letter word" malignant bowel tumor "and word" sex bowel tumor ", and five-letter word" malignant bowel tumor " Can be extracted.

  In step SP11, the input word extraction unit, the term extraction unit, the coincidence number calculation unit, the leveling frequency calculation unit, the determination unit, and the scoring processing unit 38 as the character number difference calculation unit are based on the following equation (1). The maximum frequency of the input disease name is calculated and stored in the coding rule database 44, and the process proceeds to the next step SP12.

Note that m in the formula represents the total number of characters of the input disease name.

  Specifically, when the input disease name is “malignant intestinal tumor” of 5 characters, m = 5 in the above-described formula 1, and the scoring processing unit 38 sets (5 × 1) + ( 4 × 2) + (3 × 3) + (2 × 4) + (1 × 5) = 35 can be calculated.

  In step SP12, the scoring processing unit 38 arbitrarily selects and reads one standard wound name from a plurality of standard wound names in the wound name master, and proceeds to the next step SP13. In step SP13, the scoring processing unit 38 selects, for example, a plurality of characters composed of a combination of a plurality of characters having one character unit and two adjacent characters having a character unit of two characters from the selected standard wound name of n characters. A plurality of character strings composed of a combination of three characters adjacent to each other in a string and three character units, and a plurality of characters composed of combinations of (n-1) characters adjacent to each other in (n-1) character units A string and a character string consisting of n characters in the character unit (namely, the standard wound name itself) are extracted, and the process proceeds to the next step SP14.

  Specifically, for example, when the standard injury / illness name is “small intestine tumor” consisting of 4 letters, the “small bowel tumor” is decomposed, and the word “small”, the word “intestine”, the word “tumor” consisting of 1 letter, and Adjacent to the word "tumor", the word "small intestine" consisting of two adjacent letters, the word "enteroma" and the word "tumor", and the three adjacent letters "small bowel tumor" and the word "intestinal tumor" The word “small intestine tumor” consisting of four letters can be extracted.

  In step SP14, the scoring processing unit 38 collates the character consisting of one character extracted from the input disease name in step SP10 with the character consisting of one character extracted from the standard injury name in step SP13. It is determined whether or not the one character extracted from the above and the one character extracted from the standard injury name are all inconsistent.

  If a negative result is obtained in step SP14, this means that at least one word matches one character extracted from the input disease name and one character extracted from the standard injury name, that is, This indicates that there is a possibility that there is a possibility that the input injury / illness name indicates the standard injury / injury name, and the scoring processing unit 38 executes the following subroutine SRT3. Move.

  In the subroutine SRT3, the scoring processing unit 38 executes the leveling frequency calculation processing to calculate the leveling frequency of the standard injury name with respect to the input injury name, and proceeds to the next step SP16. Actually, as shown in FIG. 11, the scoring processing unit 38 enters from the start step of the subroutine SRT3 and proceeds to step SP31 as shown in FIG. The characters and character strings extracted from the standard names and names are compared in units of the same number of characters, and the number of matches in which the characters and character strings of the input names and names match the characters and character strings of the standard names and names are specified in units of number of characters. And the process proceeds to the next step SP32.

  That is, for example, when the input wound name is “malignant bowel tumor” consisting of 5 characters and the standard wound name is “small bowel tumor” consisting of 4 characters, the scoring processing unit 38, as shown in FIG. The word “evil”, the word “sex”, the word “intestine”, the word “tumor”, and the word “tumor” having a single character unit extracted from the name “malignant intestinal tumor” (placed horizontally in FIG. 12) , The word “small”, the word “intestine”, the word “tumor”, and the word “tumor” having a single character unit extracted from the standard injury name “small intestine tumor” (vertically arranged in FIG. 12) are respectively compared. Then, the number of matching characters consisting of one character of the input wound name and the standard wound name is calculated. In the case of this embodiment, the scoring processing unit 38 matches three words of the word “intestine”, the word “tumor”, and the word “tumor” among the characters consisting of one character of the input wound name and the standard wound name. Therefore, “3” is calculated as the number of matches.

  Similarly, as shown in FIG. 13, the scoring processing unit 38 extracts the word “malignant”, the word “sexual intestine”, the word consisting of two characters from the “malignant intestinal tumor” of the input wound name, The “enteroma” and the word “tumor” are respectively compared with the word “small intestine”, the word “enteroma”, and the word “tumor”, each of which is a two-letter character unit extracted from the standard injury name “small intestine tumor”. The number of matches between adjacent character strings consisting of two characters of the input injury name and the standard injury name is calculated. In the case of this embodiment, the scoring processing unit 38 matches two character strings of the word “enteroma” and the word “tumor” among the character strings composed of two characters of the input disease name and the standard injury name. Therefore, “2” is calculated as the number of matches. Similarly, the scoring processing unit 38 can calculate the number of matches of the characters and character strings extracted from the “malignant bowel tumor” of the input wound name and the “small bowel tumor” of the standard wound name for each number of characters. Has been made.

  In step SP32, the scoring processing unit 38 calculates the word matching degree by multiplying the number of matches calculated for each character number unit by a predetermined weighting factor preset for each character number unit, and then for each character number unit. By adding all the calculated word coincidence degrees, the frequency of the standard injury / sickness name with respect to the input standard name is calculated, and the process proceeds to the next step SP33.

  In the case of this embodiment, for example, the scoring processing unit 38 multiplies “1” as a weighting coefficient in the unit of the number of characters of one character, and multiplies “2” as the weighting coefficient in the unit of the number of characters of two characters. The number of characters can be multiplied by “3” as a weighting coefficient, and the number of matches can be multiplied by the same weighting coefficient as the number of characters.

That is, the scoring processing unit 38 uses an expression of (X ₁ × 1) + (X ₂ × 2) + (X ₃ × 3)... + (X _m × m), and X1 has _one character unit. introducing a number of matches in the character consisting, by introducing a number of matches in the string of characters unit 2 characters X _2, the X ₃ number of characters units Yuki introduces number of matches in the three-character string, the input illness The frequency of occurrence can be calculated by introducing the number of matches with the standard injury name in units of the number of characters from 1 to m characters of the name. Incidentally, X _m represents the number of matches in a character string whose character unit is m characters, and 1, 2, 3,... M represents a weighting coefficient that is increased in numerical value as the number of characters increases.

For example, when the input wound name is “malignant bowel tumor” consisting of 5 characters and the standard wound name is “small bowel tumor” consisting of 4 characters, the scoring processing unit 38 has a matching number X _{1 of} characters consisting of 1 character. Since “3”, the matching number X _{2 of the two-} character string is “2”, and the matching number X _{3 of the three-} character string is “1”, the above formula is (3 × 1) + (2 × 2) + (1 × 3), and “10” is calculated as the frequency of occurrence.

  In step SP33, the scoring processing unit 38 calculates a leveling frequency that is obtained by leveling the frequency calculated in step SP32, ends the subroutine SRT3, and proceeds to the next step SP16. Here, the leveling frequency calculated by the scoring processing unit 38 can be calculated by dividing the frequency calculated by step SP32 by the maximum frequency calculated in step SP11 and multiplying by “100”. In the case of this embodiment, the scoring processing unit 38 calculates “28.57” as the leveling frequency by dividing the frequency “10” by the maximum frequency “35” and multiplying by “100”. Can be done.

  Next, as shown in FIG. 10, in step SP16, the scoring processing unit 38, when the leveling frequency is already calculated for other standard wound names, leveling other standard wound names already calculated. By comparing the frequency of occurrence with the newly calculated leveled frequency, a ranking table is created in which the standard injury and disease names are preferentially listed in descending order of the leveled frequency, and the process proceeds to the next step SP17. In this manner, the scoring processing unit 38 can determine the ranking order of the standard injury / illness name based on the leveling frequency.

  In step SP17, the scoring processing unit 38 compares the leveling frequency of other standard sickness names with the leveling frequency newly calculated in the subroutine SRT3, and determines whether or not the leveling frequency is the same. Determine whether.

  If an affirmative result is obtained in step SP17, this indicates that the leveling frequency of the other standard injury names is the same as the leveling frequency of the standard injury name newly calculated in the subroutine SRT3. At this time, the scoring processor 38 proceeds to the next step SP18. In step SP18, the scoring processing unit 38 compares the number of all characters of the input disease name with the number of all characters of each standard disease name having the same level of leveling frequency. Is calculated, and the process proceeds to the next step SP19.

  In step SP19, the scoring processor 38 preferentially arranges the standard injury / sickness name having a small number of characters difference with the input injury / sickness name at a higher position than the standard injury / sickness name having a large number of characters difference with the input injury / sickness name. And moves to the next step SP20.

  On the other hand, if a negative result is obtained in step SP17 described above, this indicates that the leveling frequency of other standard injury names is different from the leveling frequency of standard injury names newly calculated in subroutine SRT3. At this time, the scoring processor 38 proceeds to the next step SP20.

  In step SP20, the scoring processing unit 38 determines whether or not a standard injury / illness name from which characters have not been extracted in step SP13 exists in the injury / illness name master. If an affirmative result is obtained in step SP20, this indicates that the standard injury / sickness name from which characters have not been extracted in step SP13 still exists in the injury / sickness name master. The process proceeds to step SP21.

  In step SP21, the scoring processing unit 38 selects a standard wound name from which characters have not yet been extracted from among a plurality of standard wound names in the wound name master, and moves again to step SP13, where the number of characters is determined from the selected standard wound name. Characters and character strings are extracted every time and the above-described processing is repeated.

  On the other hand, if a negative result is obtained in step SP20 described above, this means that there is no standard wound name in the wound name master in which characters and character strings are not extracted for each number of characters in step SP13, that is, the wound name. This indicates that the character and character string comparison between all the standard injury names of the master and the input injury names has been executed. At this time, the scoring processing unit 38 moves to the next step SP23 and ends the scoring processing. To do.

  If a positive result is obtained in step SP14 described above, this means that the character consisting of one character extracted from the input disease name and the character consisting of one character extracted from the standard injury name do not match at all. That is, there is no common character between the input injury name and the standard injury name, indicating that there is a low possibility that the input injury name indicates the standard injury name. At this time, the scoring processing unit 38 Control goes to step SP22.

  In step SP22, the scoring processing unit 38 stops the calculation process of calculating the level of leveling frequency using the standard wound name obtained by comparing one character with the input wound name in step SP14, and the next step SP20. The process described above is repeated.

(3) Operation and Effect In the above configuration, the code conversion device 3 sets, for example, the wound name item 19 as the encoding target item 46 from among a plurality of items of the medical certificate data, and the wound name item 19. A predetermined injury / illness name is set in advance as a search keyword 51. In the code conversion device 3, for example, the part item 21 is set in advance as an auxiliary item 47 from among a plurality of items of the medical certificate data in addition to the encoding target item 46 and is associated with each search keyword 51. A part name is set in advance in the part item 21 as an auxiliary search keyword 52, and an ICD-10 code 53 of a formal wound name that can be inferred from each combination of the search keyword 51 and the auxiliary search keyword 52 is obtained as a search keyword 51 and an auxiliary search. Each keyword 52 pair is associated in advance.

  That is, in the code conversion device 3, for example, the injury name “fracture” is set as the search keyword 51, and the part name “thigh” is set as the auxiliary search keyword 52. The ICD-10 code 53 of the official injury name “femoral fracture” that can be inferred from the combination of “thigh” of the search keyword 42, the “fracture” of the search keyword 51, and the “thigh” of the auxiliary search keyword 52. Associating with a pair in advance.

  When the code conversion device 3 takes in the medical certificate data from the input device 2, the code conversion device 3 extracts the input wound name of the corresponding item and the input part name of the auxiliary corresponding item from the medical certificate data. It is determined whether or not the search keyword 51 stored in the conversion rule database 44 matches, and whether or not the input part name matches the auxiliary search keyword 52 associated with the search keyword 51.

  As a result, in the code conversion device 3, if the input disease name of the corresponding item matches the search keyword 51 and the input part name of the auxiliary corresponding item matches the auxiliary search keyword 52 associated with the search keyword 51, the search The input disease name is converted into the ICD-10 code 53 previously associated with the pair of the keyword 51 and the auxiliary search keyword 52.

  By the way, in the conventional code conversion device, if there is only “fracture” as the input injury name in the injury / injury name item in the medical certificate data captured from the input device, the official injury / injury name is unknown as it is. The name could not be converted to an ICD-10 code.

  On the other hand, in the code conversion device 3 according to the present embodiment, even if there is only “fracture” as the input injury name in the corresponding item in the medical certificate data captured from the input device 2, the input part name is included in the auxiliary corresponding item. If it is “thigh”, based on the coding rule table 50, it is assumed that the input injury name “fracture” is intended to be the official injury name “femoral fracture”. The name of the input disease can be converted into the ICD-10 code 53 of “Bone Fracture”, and thus the input disease name can be converted into the corresponding predetermined ICD-10 code 53 with a higher probability than before.

  The code conversion device 3 performs scoring processing when the input disease name cannot be converted into the ICD-10 code based on the coding rule table 50 of the coding database 44 and the injury name master database 43. Execute.

In the code conversion device 3, as the scoring process, for example, m characters of the input disease name in the medical certificate data are decomposed, and all characters consisting of one character are extracted from the input disease name, and the total number of characters of the input disease name from one character. For each character number unit up to (2 characters, 3 characters,... M characters), all adjacent character strings consisting of the character number unit are extracted from the input disease name. For example, the standard injury name of n characters selected in (1) is decomposed, and all characters consisting of one character are extracted from this standard injury name, and each character number unit (2 characters, 3 characters) from 1 character to the total number of characters of the standard injury name For each character,..., N characters), all adjacent character strings composed of the number of characters are extracted.

  The code conversion device 3 compares a plurality of characters and character strings extracted from the input disease name with a plurality of characters and character strings extracted from the standard disease name, and generates a plurality of characters and character strings extracted from the input disease name. On the other hand, after calculating the number of matches of multiple characters and character strings extracted from the standard injury / illness name for each character number unit, the number of characters is multiplied by a different weighting coefficient for each character number unit. The degree of coincidence is calculated for each unit. In the code conversion device 3, all the calculated degrees of coincidence are added to calculate the frequency, and then the frequency is leveled to calculate the leveled frequency.

  In this way, the code conversion device 3 calculates the leveling frequency between all standard injury names stored in the standard master and the input injury name, and the higher the leveling frequency, the higher the input injury disease. It is determined that the name and the word form are close to each other, and the ranking order indicating how close to the input wound name among all the other standard wound names in the standard master is determined.

  Thus, in the code conversion device 3, after creating a ranking table in which only a predetermined number of standard injury names are listed in descending order of leveling frequency according to the ranking ranking, this ranking table is displayed on the display unit 32, so that the operator Present to. As a result, the operator can easily select from the ranking table a standard disease name that is assumed to be the same as the input disease name.

  Thereby, in the code conversion device 3, the operator visually confirms and searches one by one the standard injury names that are estimated to be the same as the input injury name from among the enormous number of standard injury names stored in the standard master. Can reduce the burden. In addition, the code conversion device 3 can objectively select standard wound names that are assumed to be the same as the input wound names in the medical certificate data based on the leveling frequency, and limit the number to a predetermined number. By presenting only the standard injury and illness name to the operator, it is possible to avoid selection mistakes based only on subjective judgment by the operator, and thus the input injury and illness name is higher than the conventional one in the corresponding ICD-10 code 53. Can be converted accurately with probability.

  Further, in the code conversion device 3, when comparing a plurality of characters and character strings extracted from the input disease name with a plurality of characters and character strings extracted from the standard disease name, a single character extracted from the standard injury name is used. When the character that does not match the character consisting of one character extracted from the input disease name, the calculation process for calculating the frequency of occurrence based on the standard disease name is stopped, and the remaining standard injury names are input as the standard master. Contrast with injury name is performed.

  Therefore, the code conversion device 3 can reduce the subsequent calculation processing burden by canceling the calculation processing for calculating the frequency of occurrence based on the standard injury / illness name having a completely different word form from the input injury / disaster name, and can quickly rank. A table can be created and the ranking table can be presented to the operator.

  Further, in the code conversion device 3, even if there are a plurality of standard wound names having the same leveling frequency, a standard wound name having a small character difference from the input wound name is a standard having a large character difference from the input wound name. Create a ranking table placed higher than the name of the injury or illness. Thereby, in the code conversion device 3, even if there are a plurality of standard wound names having the same leveling frequency, the standard wound names having a small difference in the number of characters that may have the same meaning content as the input wound names are displayed in the ranking table. It can be displayed at the top.

  According to the above configuration, in the code conversion device 3 as the code conversion support device, a plurality of characters and character strings extracted from the input disease name match a plurality of characters and character strings extracted from the standard injury name. After calculating the number of matches for each character unit, each match number is multiplied by a different weighting coefficient for each character unit, and the result is added and leveled. The ranking of injury and illness names was determined.

  As a result, the code conversion device 3 objectively selects a standard injury / sickness name that the input injury / sickness name may be intended based on the leveling frequency, and presents the standard injury / sickness name with ranking ranking to the operator. Therefore, it is possible to easily select the ICD-10 code 53 that may correspond to the input injury / illness name while avoiding the selection mistake only by subjective judgment by the operator, and thus the input injury / disaster name. Can be converted into the corresponding predetermined ICD-10 code 53 with higher probability than before.

  In addition, the search keyword 51 is set in the encoding target item 46 selected from the plurality of items of the medical certificate data, and the auxiliary search keyword 52 is set in the auxiliary item 47 in association with the search keyword 51 to search. The ICD-10 code 53 of the formal injury and illness name that can be inferred from each combination of the keyword 51 and the auxiliary search keyword 52 is associated with each pair of the search keyword 51 and the auxiliary search keyword 52 in advance.

  Thus, in the code conversion device 3, even if only the input disease name for which the predetermined ICD-10 code 53 cannot be estimated only by the input disease name is in the corresponding item, the corresponding item is based on the coding rule table 50. The predetermined ICD-10 code 53 intended by the input wound name of the item can be inferred from the relationship between the input wound name and the input site name of the auxiliary corresponding item, and thus the input wound name corresponds to the predetermined ICD. -10 code 53 can be converted with higher probability than before.

(4) Other Embodiments The present invention is not limited to the present embodiment, and various modifications can be made within the scope of the gist of the present invention. For example, various input words such as an input operation name and an input disease cause may be applied as input words in addition to the input disease name and the input part name. In addition, although the standard injury and illness name is applied as the medical related term, various other medical related terms such as the standard operation name may be applied.

  In the embodiment described above, the contents of the medical certificate 4 relating to the sickness and the operation are classified according to the predetermined items as the medical related document data created for each victim and classified into various items related to the victim. Although the case where the inputted medical certificate data is applied has been described, the present invention is not limited to this, and various types of information regarding death are classified and various types of information regarding hospitalization are classified. Inpatient chart data entered for each item, outpatient information sorted out and outpatient chart data entered for each prescribed item, and various information related to medical fees separated and entered into the prescribed items Various other medical-related documents such as data and maternal and child notebook data that is entered for each item with various information related to pregnant women It may be applied to data.

  Further, in the above-described embodiment, the case where the wound name item 19 of the medical certificate 7 is the encoding target item 46 has been described. However, the present invention is not limited to this, and the personal information item 8, the wound specific item 9, Pre-existing disease / disease item 10, previous medical item 11, medical period item 12, hospitalization period item 13, discharge reason status item 14, injury and illness memo item 15, operation name item 16, operation memo item 17, injury and illness cause item 20, site item 21 Various other items such as the complication item 22, the initial examination memo item 24, the symptom progress memo item 25, or the existing failure memo item 16 may be used as the encoding target item 46.

  Furthermore, in the above-described embodiment, the case where the ICD-10 code is applied as the code has been described. However, the present invention is not limited to this, and according to each item as the encoding target item 46, For example, it is used for the K code attached to the field of surgery / treatment, the JLAC10 code, which is the clinical test code established by the Japanese Society for Clinical Laboratory Medicine, or for cytology / physiological tests, etc. Classify the body code such as plasma, serum, skin, bone, vagina, lungs, cerebellum, etc., and code the material code, fluorescent antibody method, enzyme antibody method, centrifugation method, etc. Various other codes such as a drug price standard listed drug code that is set in the attached measurement method code and drug price unit and used when a drug price survey is performed may be applied.

  Further, in the above-described embodiment, the case where the site item 21 of the medical certificate 7 is set as the auxiliary item 47 has been described. However, the present invention is not limited to this, and the personal information item 8, the injury / disease identification item 9, the past disease / disease disease Item 10, pre-medicine item 11, medical period item 12, hospitalization period item 13, discharge reason status item 14, injury and illness memo item 15, operation name item 16, operation memo item 17, injury and disease name item 19, injury and disease cause item 20, merger Various other items such as the symptom item 22, the initial examination memo item 24, the symptom progress memo item 25, or the existing failure memo item 16 may be used as the auxiliary item 47.

  Specifically, in the rule-based encoding process, when the surgery name item 16 is selected as the encoding target item 46 and the wound name item 19 is selected as the auxiliary item 47, the surgery name “ “Tumor Surgery” is set, and the name of the disease “pulmonary malignancy” is set as the auxiliary search keyword 52, and the combination of “tumor surgery” of the search keyword 51 and “pulmonary malignancy” of the auxiliary search keyword 52 The K code of the formal surgery name “pulmonary malignant tumor surgery” that can be estimated from the above is associated with the pair of “tumor surgery” of the search keyword 51 and “pulmonary malignant tumor” of the auxiliary search keyword 52.

  As a result, in the code conversion device 3, even if there is only “tumor surgery” as the input operation name in the corresponding item in the medical certificate data captured from the input device 2, “pulmonary malignancy” ”Based on the coded rule table, the input operation name“ tumor operation ”is assumed to be the formal operation name“ pulmonary malignant tumor operation ”, and the formal injury name“ pulmonary malignant tumor operation ”. The input operation name can be converted into the K code, and thus the input operation name can be converted into the corresponding predetermined K code with higher probability than before.

  As another embodiment, when the wound name item 19 is selected as the encoding target item 46 and the personal information item 8 is selected as the auxiliary item 47, the wound name “fracture” is used as the search keyword 51 of the wound name item 19. Is set as the auxiliary search keyword 52 of the personal information item 8, and the official name of the disease (for example, the occupation “of the occupation” can be inferred from the combination of the search keyword 51 and the auxiliary search keyword 52). In particular, the names of wounds and diseases in “ΔΔ” ”and“ XX fracture ”can be stored in association with each other.

  As a result, in the code conversion device 3, even if there is only “fracture” as the input operation name in the corresponding item in the medical certificate data fetched from the input device 2, if there is “△△” as the occupation name in the auxiliary corresponding item Based on the coding rule table, it is assumed that the input operation name “fracture” is intended to be the formal operation name “xx fracture”, and the ICD-10 code 53 of the formal injury name “xx fracture” is obtained. The input operation name can be converted, and thus the input operation name can be converted into the corresponding predetermined ICD-10 code 53 with higher probability than before.

  Furthermore, in the above-described embodiment, the case where the input word is converted into the predetermined code based on the total two items of the encoding target item 46 and the auxiliary item 47 has been described, but the present invention is not limited to this, and the code The input word is converted into a predetermined code based on a plurality of other auxiliary items such as a totalizing three items of the conversion target item 46 and the auxiliary item 46 of the first auxiliary item and the second auxiliary item, and a total of four items. May be.

  In this case, as shown in FIG. 14, the code conversion device 3 sets, for example, the wound name / item 19 as the encoding target item 46 and the wound cause / effect item 20 (FIG. 3) as the first auxiliary item 91, Further, the complication item 22 (FIG. 3) can be set as the second auxiliary item 92. In addition, the code conversion device 3 sets a predetermined search keyword in the wound name item 19 as the encoding target item 46 and sets a first auxiliary search keyword in the wound cause item 20 as the first auxiliary item 91. Then, the second auxiliary search keyword is set in the complication item 22 as the second auxiliary item 92.

  Thus, in the code conversion device 3, the input wound name of the corresponding item corresponding to the wound name item 19 as the encoding target item 46 matches the search keyword and corresponds to the wound cause and cause item 20 as the first auxiliary item 91. The second auxiliary corresponding item corresponding to the complication item 22 as the second auxiliary item 92, in which the input word of the first auxiliary corresponding item matches the first auxiliary search keyword associated with the search keyword. Matches the second auxiliary search keyword associated with the search keyword, the ICD-10 code associated in advance with the search keyword, the first auxiliary search keyword and the second auxiliary search keyword pair The input disease name can be converted, and the same effect as the above-described embodiment can be obtained.

  Furthermore, in the above-described embodiment, the case where one auxiliary search keyword 52 is set in the auxiliary item 47 has been described. However, the present invention is not limited to this, and the auxiliary item 47 includes two or three auxiliary items. A search keyword may be set. In this case, in the code conversion device 3, when the input word of the corresponding item matches the search keyword and the input word of the auxiliary corresponding item matches all of the plurality of auxiliary search keywords, the pair of the search keyword and the plurality of auxiliary search keywords is matched. The input word of the corresponding item can be converted into a predetermined code associated with.

  Furthermore, in the above-described embodiment, a case has been described in which the leveling frequency is calculated by dividing the frequency by the maximum frequency calculated in step SP11 and multiplying by “100”. However, the present invention is not limited to this, and the leveling frequency may be calculated by dividing the frequency by the maximum frequency calculated in step SP11.

  Furthermore, in the above-described embodiment, the case of creating a ranking table in which only a predetermined number of standard injury and disease names are listed in descending order of leveling frequency according to the ranking order has been described, but the present invention is not limited thereto, A ranking table in which only the rankings of standard injury / disease names desired by the operator are displayed on the display unit 32, or only a predetermined number of standard injury / disease names having a low leveling frequency that does not approximate the input injury / disease name and word form are listed. You may create.

  Furthermore, in the above-described embodiment, the case where the encoding rule processing program and the scoring processing program are stored in advance in the ROM has been described. However, the present invention is not limited to this, and the encoding rule processing program is stored in the computer. In addition, the scoring processing program can be downloaded from another computer or the like, or a CD-ROM (Compact Disc Read Only Memory) or a DVD-ROM (Digital Versatile Disc Read Only) in which the coding rule processing program and the scoring processing program are stored. A program storage medium made up of package media such as Memory) may be played back and installed in a computer.

  Also, the coding rule processing program and the scoring processing program are temporarily or permanently stored in a program storage medium such as a semiconductor memory or a magneto-optical disk, and the coding rule processing program and the scoring processing program are installed. Alternatively, a slot for a semiconductor memory may be provided in the computer, and a semiconductor memory in which the coding rule processing program and the scoring processing program are temporarily or permanently stored in the slot may be loaded and installed.

  As a means for storing the coding rule processing program and the scoring processing program in these program storage media, priority and wireless communication media such as a local area network and digital sanitary broadcasting may be used, such as a router or a modem. These may be stored via various communication interfaces.

3 Code conversion device (code conversion device, code conversion support device)
33 Operation part (item selection part, auxiliary item selection part, search keyword setting part, auxiliary search keyword)
36 Network interface (acquisition part)
38 Scoring processing unit (input word extraction unit, term extraction unit, coincidence number calculation unit, leveling frequency calculation unit, determination unit, character number difference calculation unit)
43 Wound and Sick Name Master Database (Storage)
44 Encoding rule database (table storage)

Claims (14)

An acquisition unit for acquiring medical-related document data created for each patient;
A storage unit in which a plurality of medical related terms are stored and a predetermined code is stored in association with each medical related term;
The input word of the medical document data is decomposed, and all the characters consisting of one character are extracted from the input word, and each character number unit from the one character to the total number of characters of the input word is composed of the character number unit. An input word extraction unit that extracts all adjacent character strings from the input word;
Extracting all characters consisting of one character from the medical-related term and, for each character number unit from the one character to the total number of characters of the medical-related term, all adjacent character strings consisting of the character number unit are related to the medical-related term. A term extractor for extracting from terms;
A coincidence number calculation unit that calculates, for each character number unit, the number of matches in which a plurality of characters and character strings extracted from the medical-related terms match a plurality of characters and character strings extracted from the input word When,
By multiplying the number of matches by a weighting coefficient that is different for each character number unit, the degree of coincidence between the input word and the medical-related term is calculated for each character number unit, and all the degree of coincidence is added to frequently appear. After calculating the degree, a leveling frequency calculation unit for leveling the frequency and calculating the leveling frequency,
Based on the leveling frequency of each medical-related term calculated by the leveling frequency calculation unit, a predetermined number of the medical-related terms that are likely to match the input word are selected to determine the ranking order. A code conversion support apparatus comprising: a determination unit. When the leveling frequency of one medical-related term is the same as the leveling frequency of another medical-related term, a difference in the number of characters between the input word and the one medical-related term, the input word and the It has a character number difference calculation unit that calculates the difference in the number of characters from other medical terms,
The determination unit is
The ranking ranking in which the one medical related term or the other medical related term having a small difference in the number of characters is prioritized among the one medical related term and the other medical related term is determined. Item 2. The code conversion support device according to Item 1. The matching number calculation unit
When the character consisting of one character extracted from the input word and the character consisting of one character extracted from the medical related term do not match, the calculation processing for calculating the number of matches of the medical related term is stopped,
The term extraction unit
When the calculation process by the coincidence number calculation unit is stopped, all the one-character characters are extracted from the remaining other medical-related terms stored in the storage unit, and the medical-related terms are extracted from the one character. The code conversion support device according to claim 1 or 2, wherein, for each character number unit up to the total number of characters, all adjacent character strings composed of the character number unit are extracted from the medical-related terms. An acquisition step of acquiring medical-related document data created for each patient by an acquisition unit;
The input extraction unit decomposes the input word of the medical-related document data, extracts all characters consisting of one character from the input word, and for each character number unit from the one character to the total number of characters of the input word, An input word extraction step of extracting all adjacent character strings composed of the number of characters from the input word;
An arbitrary medical-related term is read from a storage unit in which a plurality of medical-related terms associated with a predetermined code are stored, and a term extraction unit extracts all the one-character characters from the medical-related terms, and For each character number unit from one character to the total number of characters of the medical related term, a term extracting step of extracting all adjacent character strings composed of the character number unit from the medical related term;
For each of the number of characters, the number of matches in which the plurality of characters and character strings extracted from the medical terms are matched with the plurality of characters and character strings extracted from the input word by the match number calculation unit. A step of calculating the number of matches to be calculated;
By multiplying the number of matches by a weighting coefficient that is different for each character number unit, the degree of coincidence between the input word and the medical-related term is calculated for each character number unit, and all the degree of coincidence is added to frequently appear. After calculating the degree, a leveling frequency calculation step of leveling the frequency and calculating a leveling frequency by a leveling frequency calculation unit;
The determination unit selects and ranks a predetermined number of the medical related terms that are highly likely to match the input word based on the leveled frequency of the medical related terms calculated by the leveling frequency calculating unit. A code conversion support method comprising: a determining step for determining a ranking. After the leveling frequency calculation step,
When the leveling frequency of one medical-related term is the same as the leveling frequency of another medical-related term, a difference in the number of characters between the input word and the one medical-related term, the input word and the A character number difference calculating step for calculating a difference in the number of characters from other medical-related terms by a character number difference calculating unit,
The determining step includes
The ranking ranking in which the one medical related term or the other medical related term having a small difference in the number of characters is prioritized among the one medical related term and the other medical related term is determined. Item 5. The code conversion support method according to Item 4. The matching number calculating step includes:
When the character consisting of one character extracted from the input word and the character consisting of one character extracted from the medical related term do not match, the calculation processing for calculating the number of matches of the medical related term is stopped,
The term extraction step includes
When the calculation process by the coincidence number calculation unit is stopped, all the one-character characters are extracted from the remaining other medical-related terms stored in the storage unit, and the medical-related terms are extracted from the one character. 6. The code conversion support method according to claim 4 or 5, wherein, for each character number unit up to the total number of characters, all adjacent character strings composed of the character number unit are extracted from the medical-related terms. Against the computer,
An acquisition step of acquiring medical-related document data created for each patient by an acquisition unit;
The input extraction unit decomposes the input word of the medical-related document data, extracts all characters consisting of one character from the input word, and for each character number unit from the one character to the total number of characters of the input word, An input word extraction step of extracting all adjacent character strings composed of the number of characters from the input word;
An arbitrary medical-related term is read from a storage unit in which a plurality of medical-related terms associated with a predetermined code are stored, and a term extraction unit extracts all the one-character characters from the medical-related terms, and For each character number unit from one character to the total number of characters of the medical related term, a term extracting step of extracting all adjacent character strings composed of the character number unit from the medical related term;
For each of the number of characters, the number of matches in which the plurality of characters and character strings extracted from the medical terms are matched with the plurality of characters and character strings extracted from the input word by the match number calculation unit. A step of calculating the number of matches to be calculated;
By multiplying the number of matches by a weighting coefficient that is different for each character number unit, the degree of coincidence between the input word and the medical-related term is calculated for each character number unit, and all the degree of coincidence is added to frequently appear. After calculating the degree, a leveling frequency calculation step of leveling the frequency and calculating a leveling frequency by a leveling frequency calculation unit;
The determination unit selects and ranks a predetermined number of the medical related terms that are highly likely to match the input word based on the leveled frequency of the medical related terms calculated by the leveling frequency calculating unit. A code conversion support program for executing a determination step for determining a ranking. An acquisition unit that obtains medical-related document data that is created for each patient and that is divided into various information related to the patient and that is input by item;
An encoding target item and an auxiliary item are selected in advance from the plurality of items of the medical related document data, and are associated with a predetermined search keyword set for the encoding target item, and A predetermined auxiliary search keyword is set in the auxiliary item, and a coding rule table in which a code that can be inferred from a combination of the search keyword and the auxiliary search keyword is previously associated with the search keyword and the auxiliary search keyword pair is stored. The table storage unit
A part or all of the input words of the corresponding item corresponding to the encoding target item of the medical document data acquired by the acquiring unit matches the search keyword, and the auxiliary corresponding item corresponding to the auxiliary item When a part or all of the input word matches the auxiliary search keyword associated with the search keyword, the input word of the corresponding item is added to the code previously associated with the search keyword and the auxiliary search keyword pair. A code conversion device comprising: a code conversion unit for conversion. As the encoding target item, an item selection unit that selects either a wound name item in which the wound name of the wounded patient is input, or an operation name item in which the surgery name of the wounded patient is input,
As the auxiliary item, at least a cause of injury or illness that is input as a cause of injury or illness, a site item that is input as a part of the body where the injury or illness occurs, or a complication that is input as a complication caused by the injury or illness, doctor The code conversion device according to claim 8, further comprising: an auxiliary item selection unit that selects any one of the memo items to which the findings by the input are input. A search keyword setting unit for setting a plurality of arbitrary medical related terms as the search keyword;
The code conversion device according to claim 8, further comprising: an auxiliary search keyword setting unit configured to set a plurality of arbitrary medical-related terms as the auxiliary search keyword. An acquisition step of acquiring medical-related document data, which is created for each patient and is classified according to various items related to the patient, by an acquisition unit,
An encoding target item and an auxiliary item are selected in advance from the plurality of items of the medical related document data, and are associated with a predetermined search keyword set for the encoding target item, and A coding rule table in which a predetermined auxiliary search keyword is set in the auxiliary item and a code that can be inferred from a combination of the search keyword and the auxiliary search keyword is associated with the search keyword and the auxiliary search keyword pair in advance. And determining whether or not part or all of the input words of the corresponding item corresponding to the encoding target item of the medical related document data matches the search keyword, and assisting corresponding to the auxiliary item Whether a part or all of the input words of the corresponding item matches the auxiliary search keyword associated with the search keyword, A determining step of determining the cross section,
When a part or all of the input words of the corresponding item matches the search keyword, and a part or all of the input words of the auxiliary corresponding item matches the auxiliary search keyword associated with the search keyword, A code conversion method comprising: a code conversion step of converting an input word of the corresponding item into the code previously associated with a pair of the search keyword and the auxiliary search keyword by a code conversion unit. Before the acquisition step,
An item selection step for causing the item selection unit to select, as the encoding target item, an injury name item for which the injury name of the patient is input or an operation name item for which the operation name of the patient is input. ,
As the auxiliary item, at least a cause of injury or illness that is input as a cause of injury or illness, a site item that is input as a part of the body where the injury or illness occurs, or a complication that is input as a complication caused by the injury or illness, doctor The code conversion method according to claim 11, further comprising: an auxiliary item selection step of causing the auxiliary item selection unit to select any one of the memo items to which the findings by the input are input. After the auxiliary item selection step,
A search keyword setting step for setting a plurality of arbitrary medical related terms as the search keyword by a search keyword setting unit;
The code conversion method according to claim 11, further comprising: an auxiliary search keyword setting step for setting a plurality of arbitrary medical-related terms as the auxiliary search keyword by an auxiliary search keyword setting unit. Against the computer,
An acquisition step of acquiring medical-related document data, which is created for each patient and is classified according to various items related to the patient, by an acquisition unit,
An encoding target item and an auxiliary item are selected in advance from the plurality of items of the medical related document data, and are associated with a predetermined search keyword set for the encoding target item, and A coding rule table in which a predetermined auxiliary search keyword is set in the auxiliary item, and a code that can be estimated from a combination of the search keyword and the auxiliary search keyword is previously associated with the search keyword and the auxiliary search keyword pair. And determining whether or not part or all of the input words of the corresponding item corresponding to the encoding target item of the medical related document data matches the search keyword, and assisting corresponding to the auxiliary item Whether some or all of the input words of the corresponding item match the auxiliary search keyword associated with the search keyword A determining step of determining by the determination section,
When a part or all of the input words of the corresponding item matches the search keyword, and a part or all of the input words of the auxiliary corresponding item matches the auxiliary search keyword associated with the search keyword, A code conversion program for causing a code conversion unit to execute a code conversion step of converting an input word of the corresponding item into the code previously associated with the pair of the search keyword and the auxiliary search keyword.