JP2005107603A - Icd code applying device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To apply an ICD code in flexible accordance with various names of diseases, which are used in charts. <P>SOLUTION: An ICD code applying device consists of a storage means 3 which associatively stores disease name data with the ICD code and associatively stores the disease name equivalent to disease name data among the disease names corresponding to the ICD code when disease name data does not correspond to the ICD code, and of a control means 4 applying the ICD code when the corresponding ICD code exists in the storage means 3 on the basis of disease name data included in prescription data, and applying the ICD code after data is converted into corresponding disease name data in the storage means 3 when the ICD code does not exist. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

  The present invention relates to an ICD code assigning device for assigning an ICD code to a disease name.

  Conventionally, ICD (International Disease Classification) codes have been assigned to commonly used disease names, and are used for various purposes such as medical history management and prescription check processing.

  However, in a medical chart created in a hospital or the like, a disease name corresponding to the ICD code is not necessarily used. In this case, there is a problem that it cannot be converted into an ICD code and its use for other purposes is restricted.

  Then, this invention makes it a subject to provide the ICD code provision apparatus which can assign | provide an ICD code flexibly corresponding to the various disease names used in a medical chart.

The present invention provides an ICD code assigning device that assigns an ICD code based on disease name data included in prescription data as a means for solving the above-described problems.
Storage means for associating and storing disease name data and an ICD code, and storing the disease name corresponding to the disease name data in association with the disease name data among the disease names corresponding to the ICD code when the disease name data does not correspond to the ICD code; ,
Based on the disease name data included in the prescription data, if there is a corresponding ICD code in the storage means, an ICD code is assigned, and if there is no ICD code, it is converted into corresponding disease name data in the storage means And a control means for assigning an ICD code.

  With this configuration, even a disease name without a corresponding ICD code can be automatically converted to a disease name with a corresponding ICD code and an ICD code can be assigned.

When the disease name data is a complex disease name, the storage means stores a plurality of disease name data corresponding to the ICD code in one record,
When the disease name data of the prescription data is a compound disease name, the control means converts the data into a plurality of disease name data stored in the storage means, and then assigns an ICD code based on each disease name data. However, it is preferable in that an ICD code can be provided.

In the case where the disease name data is a compound disease name and the character string constituting the disease name part of the compound disease name includes a portion corresponding to a disease name corresponding to a plurality of ICD codes, the storage means stores any character string. Stores conditional expressions that give satisfactory ICD codes,
When the disease name data of the prescription data is a complex disease name and the character string constituting the disease name portion of the complex disease name includes a portion corresponding to a disease name corresponding to a plurality of ICD codes, the control means If any one of a plurality of ICD codes is satisfied according to the conditional expression stored by the means, it is possible to assign an ICD code to any disease name used if it is determined that it corresponds to the compound disease name. This is preferable.

  According to the present invention, even if a disease name does not have a corresponding ICD code, the disease name can be converted and given an ICD code, so regardless of the difference in the expression of the disease name used in the medical chart, An ICD code can be assigned, and use for other purposes can be automatically performed.

  Embodiments according to the present invention will be described below with reference to the accompanying drawings.

  FIG. 1 shows a prescription check device according to this embodiment. The prescription check device includes a display device 1 such as a display, an input device 2 such as a keyboard and a mouse, a storage device 3 such as a hard disk, and a central processing unit 4 (CPU).

  In the display device 1, the menu bar 5 (shown at the upper end in FIG. 2) is displayed by starting the program. When the daily work key on the menu bar 5 is operated and a prescription input key (not shown) to be displayed is selected, a prescription input screen is displayed as an initial screen.

  As shown in FIG. 2, the prescription input screen includes a menu field 6, various input fields 7, various input buttons 8, function keys 9, a display field 10, and the like.

  In the menu field 6 of the prescription input screen, a main menu 11 and a previous prescription inquiry menu 12 are displayed. The main menu 11 can be operated when input in an input field 7 described later is completed. The main menu 11 is provided with various buttons such as “previous prescription inquiry”, “prescription check”, and “hold”.

  By left-clicking on the “previous prescription inquiry” button 13, the display in the menu column 6 is switched from the main menu 11 to the previous prescription inquiry menu 12 as shown in FIG. 3. The previous prescription inquiry menu 12 is provided with buttons for “by medical department”, “all medical departments”, and “by prescription category”. It is possible to display the registered prescription contents in the “previous prescription inquiry” column 14 in each selected unit.

  By left-clicking on the “prescription check” button 15, a prescription check process is executed, and when a drug to be contraindicated is included among prescription drugs, the prescription error screen shown in FIG. 4 is displayed. .

  By left-clicking on the “hold” button 16, the currently entered prescription can be put on hold. As will be described later, the prescription put on hold is stored in the reservation file, and is added to the “hold” column 17 as the number of prescription data currently on hold.

  In the prescription error screen, as shown in FIG. 4, “drug”, “dose”, “error message”, “patient”, “doctor”, “clinic”, “responder”, “inquiry item”, “next time” Each column includes “check”, “prescription change request”, “output (prescription)”, “condition not to make next error”, “content”, “expiration date”, and function key 9.

  The input field 7 on the prescription input screen includes “patient ID”, “exchange ticket (number of exchange ticket when delivering the prescribed medicine)”, “clinical department (name of the clinical department received by the patient)”, “ward ( “Name of the ward where the patient was examined)”, “Doctor (name of the doctor who was examined by the patient)”, “Prescription date”, “Start date”, “Prescription category (outpatient, regular, temporary, etc.) ) ”,“ Details input ”,“ previous prescription inquiry ”, and the like. In each of the fields, a list of corresponding items can be displayed by right-clicking the mouse. When a corresponding item is selected from the displayed list, the content is displayed in the corresponding display column 10. For example, when right-clicking in the “Patient ID” field, a list of patient IDs and patient names is displayed. When a corresponding patient is selected, the selected patient name is displayed in the “Patient ID” field.

  The “detail input” column is used for inputting a new prescription as shown in FIGS. 2 and 3. The “detail input” column includes “Rp”, “section”, “detail”, and “dose” columns. “Rp” means a recipe, ie a dosage unit. “District” means a managed chemical category. When the detail category (drug, usage, comment) is a drug, the first character of the managed drug category is displayed. For example, “tube” is displayed for a managed drug, and “mu” is displayed for a psychotropic drug. “Detail” means the name of the medicine to be prescribed, the time of taking, and the like. “Dose” means a dose time (for example, morning, noon, after dinner), a dose (for example, 1 tablet), and the like.

  As shown in FIG. 3, the “previous prescription inquiry” column 14 is composed of columns of “prescription date”, “Rp”, and “detail”, and the “previous prescription inquiry” button 13 is set in the main menu 11. Displayed by left clicking. The “previous prescription inquiry” column 14 is used when the previous prescription content is reused for the current prescription, that is, the input in the “detail input” column. Specifically, by double-clicking in the “prescription date” column of the “previous prescription inquiry” column 14 or operating the ENTER key with the cursor positioned in the “prescription date” column, The contents of the prescription can be copied in the “Input” field. In the “Rp” column, copying can be performed in units of medication, and in the “detail” column, copying can be performed in units of drugs.

  As the input button 8, various buttons such as “normal input”, “Do reading”, “processing classification”, “Do registration”, “OK file”, and the like are provided. Here, the “Do reading” button 18 which is a characteristic part will be described.

  The “Read Do” button 18 is used to reread previously prescribed data for a patient. In other words, if the prescription content of this time is the same as the previous prescription content, it is possible to greatly reduce the input effort by reusing the previous registered prescription data. "Button 18 is used. The “Do read” button 18 is “Do not read” in the initial display, and is sequentially switched to either “Read Do” or “Do Not Read” by left-clicking. When a patient ID or a patient name is input in a state where the display content is “Read Do”, prescription data previously registered for the patient can be read. In this case, as described above, the reading range can be set in three stages: a prescription unit, a dosage unit, and a medicine unit.

  The data that can be read by the “Do reading” button 18 can be obtained by changing the display content to “Do registration” by operating the “Do registration” button 19 at the time of prescription input to be described later. The one automatically registered in is used.

  The function key 9 has its item name changed according to the display contents of other parts. In the initial display, only the end key and the help key are displayed.

  The display column 10 of the prescription input screen is composed of “hold” and “operator” columns.

  The “hold” column 17 displays the number of prescription data currently on hold. That is, when the prescription input cannot be performed and the prescription data is put on hold, such as when temporarily removing the seat or when the next prescription is input first, the hold key displayed on the function key 9 is operated. Thus, the prescription input is put on hold, and the fact and the number of hold cases are displayed in the “hold” column 17. When double-clicking in the “pending” column 17, the prescription contents on hold can be displayed in a separate window. Further, the fact that it is pending is displayed on the telop display section 20 of another window as shown in FIG. Here, as the telop display section 20, a display such as an electronic bulletin board in which character information is displayed while moving within a display frame can be used.

  The input device 2 can be configured by various means such as a keyboard and a mouse. In the case of a mouse, it is possible to perform a desired process by operating the mouse pointer displayed on the display device 1 to move it to a corresponding button or the like and then performing a click operation.

  The storage device 3 stores various master data. Various types of master data include, for example, patient data such as patient masters, ward masters, clinical department masters, user masters, doctor masters by medical departments, prescription category masters, drug masters, usage masters, comment masters, and promises. Various master data such as master data related to medicines such as a master (promising prescription or pre-registered prescription) and other master data such as a Do file, a reservation file, an interaction table, and a dictionary table are included. Hereinafter, the Do file, the reservation file, the interaction table, and the dictionary table, which are characteristic parts, will be described.

  As described above, the Do file includes data automatically registered by operating the “Do registration” button 19 to change the display content to “Do registration” and performing prescription input.

  The reservation file is composed of data in the middle of input that is put on hold during prescription by operating a hold key displayed on the function key 9. Based on the data of the reserved file, display in the “hold” column 17 and telop display are performed.

  The interaction table includes a main table and a search table, and is used for an interaction check, that is, a prescription check process.

  As shown in FIG. 6, the main table includes medicines (standard medicine names subject to prescription check processing, here using a medicine code), partner medicines (standard medicine and other medicine names to be prescription checked, here In this case, the medicine code is used), contraindications / cautions, simple reasons (simplified prescriptions for medicine bag printing, etc.), and detailed reasons. Each line consisting of a combination of a medicine and a partner medicine is one record. However, in the case of a general medicine (OTC (over the counter) medicine), a plurality of components are included, so a component table in which a plurality of components correspond to one medicine name is prepared separately. For example, when information indicating that an OTC drug is currently being taken from a patient through an inquiry or the like is obtained, the component table is decomposed into each component and checked (searched) for a contraindication with the drug prescribed this time.

  As shown in FIG. 7, the search table is composed of each column of medicines, contraindications and precautions, and partner medicines, and the contents of the partner medicines list the code numbers of other target medicines. ing. However, the partner drug is divided into the drug to be contraindicated and the drug to be warned. For this reason, it is possible to include all combinations of a certain drug and a partner drug that is one of its contraindications or precautions in one record. Therefore, the number of records can be greatly reduced and search processing can be performed at high speed.

  By providing the interaction table in this way, it is possible to completely automate the action that a doctor has conventionally confirmed the display components of OTC medicines and pre-checked all of them. Further, unlike other check systems, it is not necessary to input all of the display components for each OTC chemical prescription check.

  As shown in FIG. 8A, the dictionary table is composed of columns of “disease name”, “kana”, and “ICD code”. The “disease name” includes not only a disease name determined according to ICD10 (international disease classification) but also a disease name (general use name) generally used by a doctor (for the ICD code for the general use name, see FIG. 12). reference). “Kana” is a pseudonym of the disease name. The “ICD code” is a code number determined according to ICD10 (International Disease Classification). In the “ICD code” column, when there is an ICD code corresponding to a disease name, the code number is registered. When there is no ICD code corresponding to a disease name, a disease name with an ICD code used as a synonym is registered. In the case of a compound disease name, as shown in FIG. 8B, a combination of disease names having an ICD code is registered (for example, neuropharyngeal headache is a combination of psychogenic pain and sore throat). Furthermore, as shown in FIG. 8C, when the disease name is a complex disease name and the character string constituting the disease name portion of the complex disease name includes a portion corresponding to a disease name corresponding to a plurality of ICD codes, the disease name is converted into the ICD code. A “search expression” connected by “or (or)” and “and (and)” is stored in the field in correspondence with each other, and a decomposition search is performed accordingly. In FIG. 8C, “or” is indicated by “|” and “and” is indicated by “+”. Furthermore, as shown in FIG. 12, in the case of a general use name without an ICD code, a disease name (master notation name) with an ICD code and an ICD code are registered.

  The central processing unit 4 has a built-in memory 21 (RAM) for temporarily storing various data. The memory 21 is used as a prescription data memory 21 for storing prescription data, a work memory 21 for various data, and the like.

  Note that the display device 1, the input device 2, the storage device 3, and the central processing unit 4 may be configured by a personal computer.

  Next, the operation of the prescription check apparatus having the above-described configuration will be described with reference to the flowchart of FIG.

  First, the prescription input screen shown in FIG. 2 is opened, and attributes are input (step S1). In attribute input, first, right-click in the patient ID column to display a list of patients. The patient list includes a patient ID and a patient name. If the corresponding line is left-clicked, the contents are reflected in the patient ID column. At this time, the age calculated from the date of birth and today's date (system date) of the patient already registered in the “age” column is automatically displayed.

  In the same manner, “exchange ticket”, “clinical department”, “ward”, “doctor”, “prescription date”, “starting date”, and “prescription category” are input. However, today's date is automatically entered in “Prescription Date” and “Dosing Start Date”, and may be changed as necessary. All of these data can be read from the host computer and automatically displayed.

  Here, it is determined whether or not the patient who intends to issue the medicine prescribed from now has received the same prescription (step S2). When prescription reuse processing that reuses the previous prescription content is required, when the input to the patient ID column is completed, the “Do Read” button 18 is operated to change the display content to “Read Do”. . As a result, the already prescribed content is read from the Do file and displayed in the “previous prescription inquiry” column 14. Therefore, double-clicking on the “prescription date” column in the “previous prescription inquiry” column 14 or operating the ENTER key while the cursor is positioned on the “prescription date” column will display “details input” in units of prescriptions from the Do file. The contents of the prescription can be copied in the "" column (step S3). In the “Rp” column, copying can be performed in units of medication, and in the “Details” column, copying can be performed in units of medicines. Thereby, it is possible to greatly reduce the labor of input.

  Note that the prescription contents can be displayed in the “previous prescription inquiry” column 14 by operating the “previous prescription inquiry” button 13 in the “main menu 11” of the “menu” column. However, the prescription reuse process cannot be performed unless the “Do reading” button 18 is operated to change the display content to “Read Do”.

  Subsequently, if the previous prescription content cannot be reused, right-click in the “details input” field to display a list of medicines and select the corresponding medicine. Further, the details are entered by inputting the dose, unit, etc. (step S4).

  When the prescription input is completed in this way, a prescription check process for checking the prescription content by operating the “prescription check” button 15 in the “main menu 11” in the “menu” column is executed (step S5).

  Prescription check processing includes minimum / maximum amount check, long-term prohibition check, adoption date / recruitment check, in-hospital / out-hospital adoption drug check, indication check, contraindication check, allergy / side effect check, duplicate drug check, interaction Check, administration period check, etc. are applicable.

  In the minimum / maximum dose check, the dose that can be prescribed at one time, whether the minimum and maximum doses covered by insurance are satisfied, or the dose that can be prescribed depending on the weight and age It is checked whether or not the maximum value requirement is satisfied.

  In the long-term prohibition check, it is checked whether or not the maximum number of days that can be continued is exceeded.

  In the hiring date and hiring cancellation check, it is checked whether or not the prescription drug permits hiring, that is, taking.

  In the in-hospital / out-hospital medicine check, drugs that can be used only in hospitals and drugs that can be used only outside hospitals are checked.

  In the indication check, as shown in FIG. 10, it is checked whether the disease name in the prescription data matches the indication obtained by referring to the medicine master based on the prescribed medicine.

  In the contraindication check, it is checked whether the disease name in the prescription data matches the contraindication obtained by referring to the drug master based on the prescribed drug.

  In the allergy / side effect check, whether allergies / side effects obtained by referring to the patient comment master based on prescription data match the efficacy obtained by referring to the drug master based on the prescribed medicine Check.

  In the duplicate drug check, it is checked whether or not the same medicine is prescribed for all medicines (including medicines prescribed in the past) prescribed in all departments for a patient.

  In the interaction check, as shown in FIG. 11, after executing the disease name check process, all prescribed medicines (including medicines prescribed in the past) are included as contraindications and precautions. A process is performed as to whether or not there is any.

  In the disease name check process, for example, based on the disease name input to the electronic medical record, a code number is assigned to an ICD code according to the dictionary table shown in FIG. 8A. Further, the general use name without the ICD code is once converted into a disease name with the ICD code according to the dictionary table shown in FIG. 12, and then the ICD code is assigned again according to the dictionary table. If it is a compound disease name, the disease name is decomposed according to the dictionary table shown in FIG. 8B or FIG. 8C, or conditions are set by a search expression, and then an ICD code is assigned. If an ICD code is assigned to the disease name, the corresponding contraindicated or cautionary drug is identified according to the interaction table, and the prescription check process is started for all prescribed drugs.

  In the interaction check process, whether or not a drug code including all other remaining drugs exists in the interaction table is determined whether the drug code of each prescribed drug is sequentially not subject to contraindication or attention. Search for. About the said chemical | medical agent, the chemical | medical agent prescribed | regulated in the past is contained. In the present embodiment, all other remaining medicines can be searched as one medicine code, so that the processing can be performed at a very high speed. Further, in the interaction check process, based on an indication table comprising drug, indication disease name, and ICD code, a drug to be prescribed and an indication disease name are searched according to the ICD code assigned in the disease name check process, and the drug is prescribed. Check whether there is any shortage. In addition, based on the contraindication table including medicines, contraindication levels, names of contraindicated diseases, and ICD codes, it is checked whether or not the medicines to be prescribed are not subject to contraindications according to the ICD codes. Thereby, it is possible to confirm whether or not the medicine to be prescribed is appropriate from the disease name, and it is possible to prevent a medication error. In addition, medical treatment based on EBM (Evidence-Based Medicine) grounds can be realized by corresponding to the ICD code.

  The details of the control will be described with reference to the flowchart shown in FIG.

  First, a conversion process is performed for converting a disease name having no ICD code into a disease name having an ICD code in accordance with a dictionary table (step S11). Then, it is determined whether or not it is a compound disease name (step S12). If it is not a compound disease name, an ICD code is searched from a dictionary table (step S13). If the disease name is a compound disease name, it is converted or decomposed into a disease name having an ICD code according to the dictionary table, and the character string constituting the disease name portion of the compound disease name includes portions corresponding to disease names corresponding to a plurality of ICD codes. ICD code search processing is performed in accordance with the above-described search formula (step S14). Subsequently, in the interaction check process, contraindicated drugs are extracted (step S15), output and displayed (step S16), and then the presence / absence of prescription data is determined (step S17). If there is prescription data, prescription check processing is performed based on the extraction result in step S15 (step S18).

  Note that the interaction table can include general drugs (OTC drugs) in addition to medical drugs. For example, when a doctor prepares a prescription at a hospital or the like, if the patient's inquiry contents include OTC medicine, the check can be made in advance. In this case, it is also possible to describe the fact that the OTC chemical has been checked. In addition, when a drug dispensed according to a prescription is delivered to a patient at a dispensing pharmacy or the like, OTC drugs (headache drugs, sickness sickness, etc.) may be purchased separately. At this time, a side effect or the like can be prevented by performing a prescription check of the OTC drug on the dispensed prescription data.

  If there is no corresponding drug code in step S5, it is determined that there is no drug to be contraindicated or cautioned, and the process proceeds to the next process for dispensing the prescribed drug as usual.

  If there is a corresponding medicine code, it is determined that there is a medicine to be contraindicated or cautioned, and the prescription error screen shown in FIG.

  In the prescription error screen, by selecting either “Yes” or “No” in the “Next Check” field, it can be reflected in the next prescription check process. When “Yes” is selected, the prescription check process is executed in the same manner as this time. On the other hand, if “NO” is selected, the process that caused the current error is excluded from the check target in the next prescription check process. However, when selecting “No”, the conditions for not making an error next time are set. For doctors in charge of multiple departments, the “Clinical Department” and “Doctor” fields are used. Each condition can be entered in the “doctor” column. In the “expiration date” column, a period to be excluded from the prescription target can be set. If there is no input in the “expiration date” column, it is treated as indefinite. In the next prescription check process, it is excluded from the check target only when this condition is met.

  Specifically, FIG. 13 shows an example of a prescription example in which an error is caused by the prescription check process and how the next check will be performed by changing the setting of the condition. In the prescription example 1, when the long-term prohibited days of the test tablet is 14 days, the long-term prohibited days error occurs because the long-term prohibited days are exceeded in the prescription check. For example, if you want to continue to use medicines with errors in the prescription check until treatment is completed, internal medicine in the “Department” column, test physician in the “Doctor” column, and 2003/12/31 in the “Expiration Date” column When “No” is selected in the “Next Check” field, an error does not occur in Prescription Example 2. On the other hand, in the prescription example 3, since the clinical department is a surgery, an error occurs. In the prescription example 4, the prescription date is within the expiration date, so no error occurs. However, in the prescription example 5, the expiration date has passed and an error occurs.

  In the prescription error screen, it is possible to select whether or not to request a doctor to change the prescription by selecting either “Yes” or “No” in the “Prescription change request” field. When issuing a prescription this time, select “Yes”. At this time, the error is not resolved unless there is an input in the “content” column. Also, whether to change the contents to be changed and the contents to be output to the prescription can be set by selecting either “Yes” or “No” in the “Output (Prescription)” field. When “Yes” is selected, the desired content may be entered in the “Output content” field.

  In addition, if multiple medicines are displayed as prescription errors on the prescription error screen, if the contents entered in the “Content” field are the same, the same can be done by left-clicking the “All errors” key of the function key 9. It can be content.

  Next, when the prescription check process is completed, it is determined whether or not a prescription is issued (step S6). When issuing a prescription, the “issue” key of the function key 9 is left-clicked (step S7). If there is no problem with the contents of the prescription, a prescription is issued and dispensing is started at the pharmacy. For example, if there is a problem with the contents of the prescription, such as when no usage has been entered, the corresponding reason is displayed in the display field 10 at the bottom of the screen. The prescription content may be corrected according to this display content. If there is pending data, the prescription is issued by reading from the reservation file or the temporary storage file. Here, the reservation file is again necessary for the prescription check process, and the temporary storage file is the one that is only waiting for issuing the prescription after the prescription check process is completed.

  On the other hand, when not issuing a prescription, it is judged whether prescription input is suspended (step S8). When not holding, it returns to step S4 and continues prescription input. On the other hand, in the case of hold, the hold issuance is performed by left-clicking the “hold” button 16 on the main menu 11 (step S9). As a result, the prescription data that is currently being input is stored in the reservation file, and the input characters on the screen are erased to display the initial screen. In addition, the number of pending cases is displayed in a blinking manner in the “hold” column 17. Furthermore, after a predetermined time has passed, a telop is displayed in the upper left corner of the screen as “There is a prescription on hold. Please check”. Thereby, it is possible to prevent the prescription input from being left unattended. Note that the display window is driven separately from the other windows, and the system preliminarily checks the pending prescription and displays it on the forefront of the screen each time.

  Double-clicking in the “pending” field 17 displays a list of pending prescription data by patient name. When resuming prescription input, double-clicking on the line (record) where the corresponding patient is displayed can cause the prescription input screen to reflect and display the contents being input.

It is a block diagram which shows the structure of the prescription check apparatus which concerns on this embodiment. The initial screen (prescription input screen) displayed on the display apparatus of FIG. 1 is shown. In the prescription input screen of FIG. 2, a state in which the previous prescription is called in the previous prescription inquiry column is shown. The prescription error screen displayed when there is an error in the prescription as a result of performing the prescription check process on the prescription input screen of FIG. 2 is shown. When the prescription is suspended and put on hold on the prescription input screen of FIG. 2, a state in which the telop display portion is displayed is shown. It is a chart which shows the data structure of the main table of the interaction table memorize | stored in the memory | storage device of FIG. 2 is a chart showing a data structure of an interaction table search table stored in the storage device of FIG. 1. It is a chart which shows the data structure of the dictionary table memorize | stored in the memory | storage device of FIG. 6 is a chart showing another example of the data structure of the dictionary table stored in the storage device of FIG. 1. 6 is a chart showing another example of the data structure of the dictionary table stored in the storage device of FIG. 1. It is a flowchart figure which shows operation of the prescription check apparatus which concerns on this embodiment. It is an indication check screen displayed on the display apparatus of FIG. It is an interaction check screen displayed on the display apparatus of FIG. It is a chart which shows the example of the dictionary table memorize | stored in the memory | storage device of FIG. It is a chart which shows the prescription example at the time of changing the conditions of a prescription check process in the "next check" column displayed on the display apparatus of FIG. It is a flowchart figure which shows an ICD code provision process.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 ... Display apparatus 2 ... Input device 3 ... Memory | storage device 4 ... Central processing unit (CPU)
5 ... Menu bar 6 ... Menu field 7 ... Input field 8 ... Input button 9 ... Function key 10 ... Display field 11 ... Main menu 12 ... Previous prescription inquiry menu 13 ... "Last prescription inquiry" button 14 ... "Last prescription inquiry" field 15 ... "Prescription check" button 16 ... "Hold" button 17 ... "Hold" field 18 ... "Do reading" button 19 ... "Do registration" button 20 ... Ticker display unit 21 ... Memory (RAM)

Claims (3)

In an ICD code assigning device that assigns an ICD code based on disease name data included in prescription data,
Storage means for associating and storing disease name data and an ICD code, and storing the disease name corresponding to the disease name data in association with the disease name data among the disease names corresponding to the ICD code when the disease name data does not correspond to the ICD code; ,
Based on the disease name data included in the prescription data, if there is a corresponding ICD code in the storage means, an ICD code is assigned, and if there is no ICD code, it is converted into corresponding disease name data in the storage means And an ICD code assigning device comprising a control means for assigning an ICD code. When the disease name data is a complex disease name, the storage means stores a plurality of disease name data corresponding to the ICD code in one record,
When the disease name data of the prescription data is a compound disease name, the control means converts the plurality of disease name data stored in the storage means and then assigns an ICD code based on each disease name data. The ICD code provision apparatus according to claim 1. In the case where the disease name data is a compound disease name and the character string constituting the disease name part of the compound disease name includes a portion corresponding to a disease name corresponding to a plurality of ICD codes, the storage means stores any character string. Stores conditional expressions that give satisfactory ICD codes,
When the disease name data of the prescription data is a complex disease name and the character string constituting the disease name portion of the complex disease name includes a portion corresponding to a disease name corresponding to a plurality of ICD codes, the control means 3. The ICD code assigning apparatus according to claim 1, wherein if any one of the plurality of ICD codes is satisfied according to the conditional expression stored by the means, it is determined that the name corresponds to the compound disease name.