JP2022010653A - Document analysis system and document analysis method - Google Patents

Abstract

To provide a document analysis system which can assist in selecting candidates for a name of the medical examination object disease from a document that has no description of the name of the medical examination object disease.SOLUTION: A document analysis system comprises: a document recorded item receiving unit 301 for receiving recorded items of a document including at least one medical practice record; a medical practice score storing device 303 for storing a medical practice score associated with medical practices of a medical department; a disease name storing device 304 for storing a disease name corresponding to the medical practice of the medical department; and a score and disease name attaching unit 305 for adding the medical practice score and the disease name to each of the medial practices described in the document.SELECTED DRAWING: Figure 1

Description

The present invention relates to a document analysis system and a document analysis method.

Medical statements are required to be issued to patients along with receipts for the purpose of medical transparency and democratization. Medical statements are issued free of charge. The medical description describes the medical practice performed on the patient (see, for example, Patent Documents 1 to 3). However, the medical statement does not include the name of the injury or illness to be treated. If the patient is a private insurance policyholder, in order for the patient to claim insurance from the insurance company, he / she usually asks the medical institution to issue a medical certificate stating the name of the injury or illness to be treated, and the medical treatment target. It is necessary to submit a medical certificate with the name of the injury or illness to the insurance company. A medical certificate containing the name of the injury or illness to be treated is usually issued for a fee.

Japanese Patent No. 3707738 Japanese Patent No. 4312757 Japanese Patent No. 4990410

When a patient claims an insurance claim from an insurance company, having to obtain a medical certificate containing the name of the injury or illness to be treated for a fee is complicated and financially burdensome for the patient. .. Furthermore, for insurance companies, there is a problem that it takes time to start the insurance payment examination, a problem that procedure mistakes may occur due to dependence on the patient for necessary procedures, and a procedure mistake on the patient side. There is also the problem that patients who should pay insurance can be held liable for not paying insurance.

Therefore, it is an object of the present invention to provide a document analysis system and a document analysis method that can assist in listing candidates for medical treatment purpose injury / illness names from documents without a medical treatment purpose injury / illness name, not limited to medical treatment specifications. Make it one.

According to the aspect of the present invention, a document description item receiving unit that receives the description items of the document including the description of at least one medical practice, a medical practice score storage device that stores the medical practice score attached to the medical practice, and a medical practice score storage device. A document analysis system equipped with an injury / illness name storage device that stores the injury / illness name corresponding to the medical practice, and a score for adding the medical practice score and the injury / illness name and an injury / illness name addition unit for each medical practice described in the document. Provided. The document may be at least one selected from medical statements, receipts, and prescriptions.

In the above-mentioned document analysis system, the medical practice score may be determined for each application site of the medical practice.

Even if the above document analysis system further includes an injury / illness name analysis unit that sorts the injury / illness names added to the medical practice described in the document based on the medical practice score added to the medical practice described in the document. good.

The above-mentioned document analysis system extracts a part of the injury / illness name from the injury / illness name added to the medical practice described in the document based on the medical practice score added to the medical practice described in the document. May be further provided.

The above document analysis system is based on the medical practice score added to the medical practice described in the document, and from the name of the injury or illness added to the medical practice described in the document, the most probable injury or illness of the patient subject to the document. It may further include an injury / illness name specifying part for specifying the name.

The above-mentioned document analysis system further includes an injury / illness score storage device for storing the injury / illness name score attached to the medical practice for the injury / illness name, and a score and an injury / illness name addition part are added for each medical practice described in the document. The injury / illness name score may be added to the injury / illness name.

The above-mentioned document analysis system further adds an injury / illness name analysis unit that sorts the injury / illness names added to the medical practice described in the document based on the medical practice score and the injury / illness name score added to the medical practice described in the document. You may be prepared.

The above document analysis system extracts a part of the injury / illness name from the injury / illness name added to the medical practice described in the document based on the medical practice score and the injury / illness name score added to the medical practice described in the document. It may further include an injury / illness name extraction unit.

Based on the medical practice score and injury / illness name score added to the medical practice described in the document, the above document analysis system is most likely to be the target patient of the document from the injury / illness name added to the medical practice described in the document. It may further include an injury / illness name specifying unit for specifying a highly sexual injury / illness name.

In the above-mentioned document analysis system, the items described in the document further include the diagnosis group classification information, and the above-mentioned document analysis system stores the diagnosis group classification number score attached to the diagnosis group classification number for the injury or illness name. A number score storage device is further provided, and the score and the injury / illness name addition unit derives the diagnosis group classification number from the diagnosis group classification information described in the document, and the injury / illness name added for each medical practice described in the document is added. Diagnosis-related group classification number scores may be added.

The above-mentioned document analysis system sorts the names of injuries and illnesses added to the medical practice described in the document based on the medical practice score and the diagnosis group classification number score added to the medical practice described in the document. May be further provided.

Based on the medical practice score and diagnosis group classification number score added to the medical practice described in the document, the above document analysis system selects some of the injury and illness names from the injury and illness names added to the medical practice described in the document. It may further include an injury / illness name extraction unit for extraction.

The above document analysis system is based on the medical practice score and diagnosis group classification number score added to the medical practice described in the document, and from the name of the injury or illness added to the medical practice described in the document, the target patient of the document. It may further include an injury / illness name identification unit that identifies the most likely injury / illness name.

In the above-mentioned document analysis system, the items described in the document further include the medical fee points, and the above-mentioned document analysis system stores the medical fee points score attached to the medical fee points for the name of injury or illness. In addition, the score and the injury / illness name addition unit may add a medical fee point score to the injury / illness name added for each medical practice described in the document.

The above-mentioned document analysis system sorts the names of injuries and illnesses added to the medical treatment described in the documents based on the medical treatment performance score and the medical fee point score added to the medical treatment described in the document. It may be further prepared.

The above document analysis system extracts a part of the injury / illness name from the injury / illness name added to the medical practice described in the document based on the medical treatment practice score and the medical fee point score added to the medical practice described in the document. It may be further provided with an injury / illness name extraction unit.

The above document analysis system is based on the medical treatment practice score and medical fee point score added to the medical treatment practice described in the document, and from the name of the injury or illness added to the medical treatment practice described in the document, the most of the target patients of the document. It may further include an injury / illness name identification unit that identifies a likely injury / illness name.

Further, according to the aspect of the present invention, the document description item receiving unit receives the description items of the document including the description of at least one medical practice, and records the medical practice score attached to the medical practice. Based on the score master and the injury / illness name master that records the injury / illness name corresponding to the medical practice, the score and the injury / illness name addition section adds the medical practice score and the injury / illness name for each medical practice described in the document. And, including, document analysis methods are provided. The document may be at least one selected from medical statements, receipts, and prescriptions.

In the above-mentioned document analysis method, the medical practice score may be determined for each application site of the medical practice.

The above document analysis method further comprises sorting the injury / illness name added to the medical practice described in the document by the injury / illness name analysis department based on the medical practice score added to the medical practice described in the document. You may go out.

In the above document analysis method, based on the medical practice score added to the medical practice described in the document, the injury / illness name extraction unit selects a part of the injury / illness name from the injury / illness name added to the medical practice described in the document. It may further include extraction.

The above document analysis method is based on the medical practice score added to the medical practice described in the document, and the injury / illness name identification department uses the injury / illness name added to the medical practice described in the document to determine the target patient of the document. It may further include identifying the most probable injury or illness name.

The above document analysis method is based on the injury / illness score master that records the injury / illness name score attached to the medical practice for the injury / illness name. May further include adding an injury / illness name score.

In the above document analysis method, the injury / illness name analysis department sorts the injury / illness names added to the medical practice described in the document based on the medical practice score and the injury / illness name score added to the medical practice described in the document. It may further include that.

The above document analysis method is based on the medical practice score and injury / illness name score added to the medical practice described in the document, and the injury / illness name extraction unit partially removes the injury / illness name added to the medical practice described in the document. It may further include extracting the name of the injury or illness.

The above-mentioned document analysis method is based on the medical practice score and the injury / illness name score added to the medical practice described in the document, and the injury / illness name identification department is based on the injury / illness name added to the medical practice described in the document. It may further include identifying the most probable injury or illness name for the subject patient.

In the above document analysis method, the items described in the document further include the diagnosis group classification information, and the above document analysis method records the diagnosis group classification number score attached to the diagnosis group classification number for the injury or illness name. Based on the number score master, the score and the injury / illness name addition department derives the diagnosis group classification number from the diagnosis group classification information described in the document, and the diagnosis group is added to the injury / illness name added for each medical practice described in the document. It may further include adding a classification number score.

The above-mentioned document analysis method is based on the medical practice score and the diagnosis group classification number score added to the medical practice described in the document, and the injury / illness name analysis department determines the injury / illness name added to the medical practice described in the document. It may further include sorting.

The above document analysis method is based on the medical practice score and the diagnosis group classification number score added to the medical practice described in the document, and the injury / illness name extraction unit is based on the injury / illness name added to the medical practice described in the document. It may further include extracting some injury / illness names.

The above document analysis method is based on the medical practice score and the diagnosis group classification number score added to the medical practice described in the document, and the injury / illness name identification unit is based on the injury / illness name added to the medical practice described in the document. It may further include identifying the most likely injury or illness name of the subject patient in the document.

In the above document analysis method, the items described in the document further include the medical fee points, and the above document analysis method is used as a medical fee point score master that records the medical fee point score attached to the medical fee points for the name of injury or illness. Based on this, the score and the injury / illness name addition unit may add a medical fee point score to the injury / illness name added for each medical practice described in the document.

In the above document analysis method, the injury / illness name analysis department sorts the injury / illness names added to the medical practice described in the document based on the medical practice score and the medical fee score score added to the medical practice described in the document. It may further include what to do.

The above document analysis method is based on the medical treatment practice score and medical fee point score added to the medical treatment practice described in the document, and the injury / illness name extraction unit is one from the injury / illness name added to the medical treatment practice described in the document. It may further include extracting the name of the injury or illness of the part.

The above document analysis method is based on the medical treatment practice score and medical fee point score added to the medical treatment practice described in the document, and the injury / illness name identification department is based on the injury / illness name added to the medical treatment practice described in the document. It may further include identifying the most likely injury or illness name for the subject patient in the document.

INDUSTRIAL APPLICABILITY According to the present invention, it is possible to provide a document analysis system and a document analysis method that can assist in listing candidates for medical treatment purpose injuries and illnesses from documents without a medical treatment purpose injury and illness name.

It is a schematic diagram which shows the document analysis system which concerns on 1st Embodiment. This is an example of a document according to the first embodiment. This is an example of a format including the items described in the document according to the first embodiment. This is an example of the medical practice score master according to the first embodiment. This is an example of an injury / illness name master according to the first embodiment. It is an example of a format including the description items of the document to which the medical practice score and the name of injury or illness are added according to the first embodiment. This is an example of a list of extracted injury / illness names according to the first embodiment. It is a flowchart which shows the document analysis method which concerns on 1st Embodiment. It is a schematic diagram which shows the document analysis system which concerns on 2nd Embodiment. This is an example of the clinical department score master according to the second embodiment. It is an example of a format including the description items of the clinical department score, the medical practice score, and the document to which the name of injury or illness is added according to the second embodiment. It is a flowchart which shows the document analysis method which concerns on 2nd Embodiment. It is a schematic diagram which shows the document analysis system which concerns on 3rd Embodiment. This is an example of the injury / illness score master according to the third embodiment. It is an example of the list of the injury / illness names to which the injury / illness score according to the third embodiment is added. It is a flowchart which shows the document analysis method which concerns on 3rd Embodiment. It is a schematic diagram which shows the document analysis system which concerns on 4th Embodiment. This is an example of the diagnosis group classification number score master according to the fourth embodiment. It is a flowchart which shows the document analysis method which concerns on 4th Embodiment. It is a schematic diagram which shows the document analysis system which concerns on 5th Embodiment. This is an example of the medical fee point score master according to the fifth embodiment. It is a flowchart which shows the document analysis method which concerns on 5th Embodiment.

An embodiment of the present invention will be described below. In the description of the following drawings, the same or similar parts are represented by the same or similar reference numerals. However, the drawings are schematic. Therefore, the specific dimensions and the like should be determined in light of the following explanations. In addition, it goes without saying that parts having different dimensional relationships and ratios are included between the drawings.

(First Embodiment)
As shown in FIG. 1, the document analysis system according to the first embodiment has a document description item receiving unit 301 for receiving document description items including at least one medical practice description, and a medical practice attached to the medical practice. The medical practice score storage device 303 that stores the medical practice score master that records the score, the injury / illness name storage device 304 that stores the injury / illness name master that records the injury / illness name corresponding to the medical practice, and each medical practice described in the document. It is provided with a medical practice score, a score for adding an injury / illness name, and an injury / illness name addition unit 305.

Examples of documents include, but are not limited to, medical statements, medical receipts, and prescriptions. An example of the document is shown in FIG. Documents are issued on a patient-by-patient basis and on a unit-by-unit basis. The unit is, for example, one outpatient, one hospitalization, or every fixed period. The document includes, for example, the items of patient number 101, patient name 102, consultation date 103, and consultation department (clinical department) 104. Examples of clinical departments are internal medicine, surgery, orthopedics, plastic surgery, neurosurgery, pediatrics, obstetrics and gynecology, gynecology, obstetrics, dermatology, urology, ophthalmology, otolaryngology, rehabilitation, radiology, and psychiatry. Departments include departments, anesthesiology departments, clinical examination departments, and pathological diagnosis departments. Examples of internal medicine include gastrointestinal medicine, cardiovascular medicine, respiratory medicine, nephrology, endocrinology, diabetes, collagen disease, rheumatology, allergies, hematology, neurology, psychotherapy, infectious diseases, etc. And oncology. Examples of surgery include general surgery such as gastrointestinal surgery, breast surgery, endocrine surgery, thyroid surgery, pediatric surgery, and thoracic surgery such as cardiovascular surgery and respiratory surgery. The document does not have to include the patient's disease name. In addition, although the document describes a plurality of disease names of the patient, it is not necessary to specify the disease name for the main therapeutic purpose.

The document includes, for example, the items of the medical treatment practice category 105, the medical treatment practice 106 corresponding to the medical treatment practice category 105, and the medical treatment fee score 107 corresponding to the medical treatment practice 106. Examples of medical practice categories include initial / re-examination fee, basic hospitalization fee, basic hospitalization fee, specific hospitalization fee, medical management, home medical care, examination, diagnostic imaging, medication, injection, rehabilitation, psychiatric specialty therapy. , Treatment, surgery, anesthesia, radiation therapy, and pathological diagnosis. The medical treatment category may be displayed by the charge name instead of the act name, such as the initial / re-examination fee. The medical treatment practice is, for example, a medical treatment practice in which the medical treatment fee points are determined in the medical treatment fee score table. Examples of medical practices include initial consultation fee, re-examination fee, ward type, nursing arrangement, basic hospitalization fee according to the length of hospitalization, general hospitalization system addition, medical record management system addition, critical care hospitalization fee, lifestyle disease management. Fees, medical information provision fees, home visit fees, home-visit medical fees, home medical care comprehensive management fees, urinary general substance qualitative semi-quantitative tests, computer tomography, dispensing fees, prescription fees, drug fees, feeding function therapy, Standard psychoanalytic therapy, wound treatment, materials, closed-circulation general anesthesia, extracorporeal irradiation, and histopathological specimen preparation. It should be noted that the medical practice may be displayed by the fee name instead of the action name, as in the initial consultation fee.

The document description item receiving unit 301 shown in FIG. 1 is included in, for example, the computer system 300. Document description items The receiving unit 301 receives, for example, electronic data of documents. When the document is paper, the items described in the document may be digitized and transmitted to the document input item receiving unit 301 via a document input device 401 such as a scanner. The document input device 401 may be connected to the document entry receiving unit 301 by wire or wirelessly. The document input device 401 may be connected to the document entry receiving unit 301 via a network. The document input device 401 may be arranged in the vicinity of the document entry receiving unit 301, or may be arranged in a remote place.

The document description item receiving unit 301 stores the received document description items in the document description item storage device 306. The document entry storage device 306 is included in, for example, the computer system 300. The document description item receiving unit 301 may appropriately modify the document format when storing the document description items in the document description item storage device 306. In the example shown in FIG. 3, the format including the description items of the document stored in the document description item storage device 306 is the clinical department, the medical practice classification, the medical practice, the receipt computer processing master code, and the medical practice target. Includes a table containing information on body parts.

The medical practice score storage device 303 shown in FIG. 1 is included in, for example, the computer system 300. As shown in FIG. 4, the medical practice score master stored in the medical practice score storage device 303 attaches a medical practice score for each medical practice. The medical practice score is given a predetermined value in advance. Medical practices that are highly involved in the medical care of the patient's injury or illness are given a high score, and medical practices that are less involved in the medical care of the patient's injury or illness are given a low score. A medical practice that is highly involved in the medical treatment of a patient's injury or illness is, for example, an act of directly treating the patient's injury or illness. The medical practice that is less involved in the medical treatment of the patient's injury or illness is, for example, a test for identifying the patient's injury or illness, or a medication or treatment for alleviating the side effects associated with the act of directly treating the patient's injury or illness.

The medical practice score in the medical practice score master is set so that the medical practice involved in the medical care of the patient's injury or illness can be ranked. For example, if an injection score for the treatment of a medical treatment is set high and a test score for identifying the injury or illness is set low at a stage where the injury or illness is not identified, the patient's injury or illness will be scored. It can be judged that there is a high possibility that the injury or illness is handled by high medical practice.

The medical practice score in the medical practice score master may be determined for each application site of the medical practice. For example, if the application site of the medical practice is specified, the score may be set high, and if the application site of the medical practice is not specified, the score may be set low.

The injury / illness name storage device 304 shown in FIG. 1 is included in, for example, the computer system 300. As shown in FIG. 5, the injury / illness name master stored in the injury / illness name storage device 304 records the injury / illness name corresponding to the medical practice in advance. The injury / illness name master may record the receipt computer processing master code corresponding to the major classification, the middle classification, and the minor classification of the injury / illness name.

The score and injury / illness name addition unit 305 shown in FIG. 1 are included in, for example, the computer system 300. The score and injury / illness name addition unit 305 reads the medical practice score master from the medical practice score storage device 303, and reads the injury / illness name master from the injury / illness name storage device 304. The score and injury / illness name addition unit 305 is shown in FIG. 6 for each of the medical practice described in the document stored in the document entry storage device 306 based on the read medical practice score master and the injury / illness name master. As shown, the medical practice score and the name of the injury or illness are added.

For example, the score and injury / illness name addition unit 305 reads the medical practice score corresponding to the medical practice described in the document from the medical practice score master, and adds the medical practice score to the medical practice described in the document. Further, the score and the injury / illness name addition unit 305 reads the injury / illness name corresponding to the medical practice described in the document from the injury / illness name master, and adds the injury / illness name to the medical practice described in the document.

The score and injury / illness name addition unit 305 stores the description items of the document to which the medical practice score and the injury / illness name are added in the document description item storage device 306. Further, the score and the injury / illness name addition unit 305 may output the description items of the document to which the medical practice score and the injury / illness name are added to the output device 405. The output device 405 may be connected to the score and injury / illness name addition unit 305 by wire or wirelessly. The output device 405 may be connected to the score and injury / illness name addition unit 305 via a network. The output device 405 may be arranged in the vicinity of the score and the injury / illness name addition unit 305, or may be arranged in a remote place. Examples of the output device 405 include a display, a printer, and an interface.

As shown in FIG. 1, the document analysis system sorts the injury / illness names added to the medical practice described in the document based on the medical practice score added to the medical practice described in the document. May be further provided. The injury / illness name analysis unit 307 is included in, for example, the computer system 300.

For example, if the higher the medical practice score is set, the higher the correlation with the injury / illness name is set, the injury / illness name analysis unit 307 is based on the medical practice score, and the injury / illness name added to the medical practice described in the document. To sort.

The injury / illness name analysis unit 307 stores the sorted injury / illness names in the document description item storage device 306. Further, the injury / illness name analysis unit 307 may output the sorted injury / illness name to the output device 405.

The document analysis system uses the injury / illness name extraction unit 308 to extract a part of the injury / illness name from the injury / illness name added to the medical practice described in the document based on the medical practice score added to the medical practice described in the document. It may be further prepared. The injury / illness name extraction unit 308 is included in, for example, the computer system 300.

For example, when the higher the medical practice score is set, the higher the correlation with the injury / illness name is set, the injury / illness name extraction unit 308 describes some of the injury / illness names with the higher medical practice score in the document. The name of the injury or illness added to is extracted. The injury / illness name extraction unit 308 may sort the injury / illness name analysis unit 307 to extract the injury / illness name having a high medical practice score. An example of the extracted injury / illness name is shown in FIG. The injury / illness name extraction unit 308 may add a corresponding classification name to the extracted injury / illness name. For example, the injury / illness name extraction unit 308 may add the corresponding major classification name, middle classification name, and minor classification name to the extracted injury / illness name.

The injury / illness name extraction unit 308 shown in FIG. 1 stores the extracted injury / illness name in the document description item storage device 306. Further, the injury / illness name extraction unit 308 may output the extracted injury / illness name to the output device 405.

The document analysis system selects the most probable injury / illness name of the target patient of the document from the injury / illness name added to the medical practice described in the document based on the medical practice score added to the medical practice described in the document. The injury / illness name specifying unit 309 to be specified may be further provided. The injury / illness name identification unit 309 is included in, for example, the computer system 300.

For example, if the higher the medical practice score is set, the higher the correlation with the injury / illness name is set, the injury / illness name identification unit 309 sets the injury / illness name with the highest medical practice score as the most likely target patient of the document. Identify as a high injury or illness name.

The injury / illness name identification unit 309 stores the name of the injury / illness most likely to be the target patient of the document in the document entry storage device 306. In addition, the injury / illness name specifying unit 309 may output the injury / illness name most likely to be the target patient of the document to the output device 405.

Next, the document analysis method according to the first embodiment will be described. In step S101 of FIG. 8, the document description item receiving unit 301 receives the electronic data of the document description items. The document description item receiving unit 301 stores the received document description items in the document description item storage device 306.

In step S103, the score and injury / illness name addition unit 305 reads out the medical practice score master as shown in FIG. 4 from the medical practice practice score storage device 303. In step S104, the score and the injury / illness name addition unit 305 reads out the injury / illness name master as shown in FIG. 5 from the injury / illness name storage device 304.

In step S105, the score and the injury / illness name addition unit 305 for each of the medical practice described in the document stored in the document entry storage device 306 based on the read medical practice score master and the injury / illness name master. Then, as shown in FIG. 6, a medical practice score and an injury / illness name are added.

The score and injury / illness name addition unit 305 stores the description items of the document to which the medical practice score and the injury / illness name are added in the document description item storage device 306. Further, the score and the injury / illness name addition unit 305 may output the description items of the document to which the medical practice score and the injury / illness name are added to the output device 405.

In step S106, the injury / illness name analysis unit 307 reads out the description items of the document to which the medical practice score and the injury / illness name are added from the document description item storage device 306. The injury / illness name analysis unit 307 sorts the injury / illness names added to the medical practice described in the document based on the medical practice score.

The injury / illness name analysis unit 307 stores the sorted injury / illness names in the document description item storage device 306. Further, the injury / illness name analysis unit 307 may output the sorted injury / illness name to the output device 405.

In step S107, the injury / illness name extraction unit 308 reads out the description items of the document to which the medical practice score and the injury / illness name are added from the document description item storage device 306. The injury / illness name extraction unit 308 extracts a part of the injury / illness name from the injury / illness name added to the medical practice described in the document based on the medical practice score, as shown in FIG.

The injury / illness name extraction unit 308 stores the extracted injury / illness name in the document description item storage device 306. Further, the injury / illness name extraction unit 308 may output the extracted injury / illness name to the output device 405.

In step S108, the injury / illness name specifying unit 309 reads out the description items of the document to which the medical practice score and the injury / illness name are added from the document description item storage device 306. The injury / illness name specifying unit 309 identifies the most probable injury / illness name of the target patient of the document from the injury / illness name added to the medical practice described in the document based on the medical practice score.

The injury / illness name identification unit 309 stores the name of the injury / illness most likely to be the target patient of the document in the document entry storage device 306. In addition, the injury / illness name specifying unit 309 may output the injury / illness name most likely to be the target patient of the document to the output device 405.

The document analysis method according to the first embodiment is not limited to the example shown in FIG. For example, the order from step S103 to step S104 is arbitrary. Steps S103 to S104 may be performed in parallel. Further, steps S106 to S108 are arbitrary, and any one of steps S106 to S108 may be omitted. Alternatively, it may end in step S105.

(Second Embodiment)
In the document analysis system according to the second embodiment shown in FIG. 9, the document description item receiving unit 301 has at least one clinical department, at least one clinical practice in the clinical department, and at least one in the clinical department including the clinical practice. Receive the information in the document, including the clinical practice category. Further, the document analysis system according to the second embodiment further includes a clinical department score storage device 302 that stores a clinical department score master that records the clinical department scores assigned to the clinical department scores of the clinical departments. In the document analysis system according to the second embodiment, the score and injury / illness name addition unit 305 adds a clinical department score, a medical practice practice score, and an injury / illness name for each clinical practice described in the document.

The clinical department score storage device 302 shown in FIG. 9 is included in, for example, the computer system 300. As shown in FIG. 10, the clinical department score master stored in the clinical department score storage device 302 assigns a clinical department score to each clinical practice category of the clinical department. The clinical department score is given a predetermined value in advance. For example, for each clinical department, the medical practice category that corresponds to the act of directly treating the patient's injury or illness is given a high score, and does not correspond to the act of directly treating the patient's injury or illness, such as the initial / re-examination fee. In some cases, the clinical practice category is given a low score.

For example, in clinical departments performing surgery, surgery is given a high score, examinations and medications are given a moderate score, and initial and revisit fees are given a low score. However, in clinical departments that do not normally perform surgery, such as psychiatry, high scores may be given to medical practice categories other than surgery. In addition, in cancer treatment, medication and radiation therapy may be given the same high score as surgery.

The clinical department score in the clinical department score master is set so that when a patient receives a medical examination in a plurality of clinical departments, the clinical departments involved in the medical treatment of the patient's injury or illness can be ranked. For example, if a patient has a medical examination in internal medicine and gastroenterology, has undergone surgery in gastroenterology, and is receiving medication in internal medicine, the score of surgery in gastroenterology is high and the score of medication in internal medicine is low. The clinical department score is set so that it can be determined that the injury or illness of the patient is likely to be an injury or illness handled by the gastroenterology department.

The score and injury / illness name addition unit 305 shown in FIG. 9 reads the clinical department score master from the clinical department score storage device 302, reads the clinical practice score master from the clinical practice score storage device 303, and reads the clinical practice score master from the injury / illness name storage device 304. Is read. The score and the injury / illness name addition unit 305 is based on the read out clinical department score master, clinical practice score master, and injury / illness name master, and the clinical department and clinical practice described in the document stored in the document entry storage device 306. As shown in FIG. 11, a clinical department score, a clinical practice score, and an injury / illness name are added to each of the classification and the combination of medical practice.

The score and the injury / illness name addition unit 305 stores the clinical department score, the clinical practice score, and the description items of the document to which the injury / illness name is added in the document description item storage device 306. Further, the score and the injury / illness name addition unit 305 may output the clinical department score, the medical practice score, and the description items of the document to which the injury / illness name is added to the output device 405.

In the second embodiment, for example, when the higher the clinical department score and the clinical practice score are set, the higher the correlation with the injury / illness name is set, the injury / illness name analysis unit 307 is the sum of the clinical department score and the clinical practice score. Or, based on the product of the clinical department score and the clinical practice score, the names of injuries and illnesses added to the clinical practice described in the document are sorted.

In the second embodiment, for example, when the higher the clinical department score and the clinical practice score are set, the higher the correlation with the injury / illness name is set, the injury / illness name extraction unit 308 is the sum of the clinical department score and the clinical practice score. Or, some of the injuries and illness names with a high product of the clinical department score and the clinical practice score are extracted as the injuries and illness names added to the clinical practice described in the document. The injury / illness name extraction unit 308 is sorted by the injury / illness name analysis unit 307 and the injury / illness name is sorted. You may extract the name.

In the second embodiment, for example, when the higher the clinical department score and the clinical practice score are set, the higher the correlation with the injury / illness name is set, the injury / illness name identification unit 309 is the sum of the clinical department score and the clinical practice score. Or, the name of the injury or illness with the highest product of the clinical department score and the clinical practice score is specified as the most likely injury or illness name of the target patient of the document.

Next, the document analysis method according to the second embodiment will be described. Step S101 of FIG. 12 is the same as step S101 of FIG. In step S102 of FIG. 12, the score and injury / illness name addition unit 305 reads out the clinical department score master as shown in FIG. 10 from the clinical department score storage device 302.

In step S105, the score and the injury / illness name addition unit 305 describes the medical treatment described in the document stored in the document entry storage device 306 based on the read out clinical department score master, clinical practice score master, and injury / illness name master. As shown in FIG. 11, a clinical department score, a clinical practice score, and an injury / illness name are added to each of the department, the clinical practice category, and the combination of the clinical practice.

The score and the injury / illness name addition unit 305 stores the clinical department score, the clinical practice score, and the description items of the document to which the injury / illness name is added in the document description item storage device 306. Further, the score and the injury / illness name addition unit 305 may output the clinical department score, the medical practice score, and the description items of the document to which the injury / illness name is added to the output device 405.

In step S106, the injury / illness name analysis unit 307 reads out the description items of the document to which the clinical department score, the medical practice practice score, and the injury / illness name are added from the document description item storage device 306. The injury / illness name analysis unit 307 sorts the injury / illness names added to the medical practice described in the document based on the clinical department score and the clinical practice score.

In step S107, the injury / illness name extraction unit 308 reads out the description items of the document to which the clinical department score, the medical practice practice score, and the injury / illness name are added from the document description item storage device 306. The injury / illness name extraction unit 308 extracts a part of the injury / illness name from the injury / illness name added to the medical practice described in the document based on the clinical department score and the medical practice practice score.

In step S108, the injury / illness name specifying unit 309 reads out the description items of the document to which the clinical department score, the medical practice practice score, and the injury / illness name are added from the document description item storage device 306. The injury / illness name specifying unit 309 identifies the most probable injury / illness name of the target patient of the document from the injury / illness name added to the medical practice described in the document based on the clinical department score and the medical practice practice score.

(Third Embodiment)
As shown in FIG. 13, the document analysis system according to the third embodiment further includes an injury / illness score storage device 310 for storing an injury / illness score master that records an injury / illness name score assigned to a medical practice for an injury / illness name. The injury / illness score storage device 310 is included in, for example, the computer system 300.

As shown in FIG. 14, the injury / illness score master stored in the injury / illness score storage device 310 assigns an injury / illness name score for each medical practice for the injury / illness name. The injury / illness name score is given a predetermined value in advance. For example, a combination of frequently performed injury / illness names and medical practices is given a high score, and a combination of frequently performed injury / illness names and medical practices is given a low score.

As shown in FIG. 15, the score and the injury / illness name addition unit 305 shown in FIG. 13 adds the injury / illness name score to the injury / illness name added for each medical practice described in the document. In the example shown in FIG. 15, the injury / illness name score is added to the injury / illness name extracted by the injury / illness name extraction unit 308, but the injury / illness name score may be added to the injury / illness name before extraction.

In the third embodiment, the injury / illness name analysis unit 307 shown in FIG. 13 has the clinical practice described in the document based on the clinical department score, the clinical practice score, and the injury / illness name score added to the medical practice described in the document. The names of injuries and illnesses added to may be sorted.

For example, if the higher the clinical department score, the clinical practice score, and the injury / illness name score are set, the higher the correlation with the injury / illness name, the injury / illness name analysis unit 307 may perform the clinical department score, the medical practice score, and the injury / illness name score. The names of injuries and illnesses added to the medical practice described in the document are sorted based on the sum of the clinical department scores, the clinical practice score, and the injury and illness name score.

The injury / illness name extraction unit 308 is based on the clinical department score, the medical practice score, and the injury / illness name score added to the medical practice described in the document, and a part of the injury / illness name added to the medical practice described in the document. The name of the injury or illness may be extracted.

For example, if the higher the clinical department score, the clinical practice score, and the injury / illness name score are set so that the correlation with the injury / illness name is higher, the injury / illness name extraction unit 308 may use the clinical department score, the medical practice score, and the injury / illness name score. Some of the names of injuries and illnesses that have a high product of the sum of the departments, the clinical department score, the medical practice practice score, and the injury and illness name score are extracted from the injuries and illness names added to the medical practice described in the document.

The injury / illness name identification unit 309 is based on the clinical department score, the medical practice score, and the injury / illness name score added to the medical practice described in the document, and from the injury / illness name added to the medical practice described in the document, the document The name of the most probable injury or illness of the target patient may be identified.

For example, if the higher the clinical department score, the clinical practice score, and the injury / illness name score are set, the higher the correlation with the injury / illness name is set, the injury / illness name identification unit 309 has the clinical department score, the medical practice score, and the injury / illness name score. The name of the injury or illness with the highest product of the sum of the clinical department score, the clinical practice score, and the injury and illness name score is specified as the most likely injury and illness name of the target patient of the document.

Next, the document analysis method according to the third embodiment will be described. As shown in FIG. 16, first, as in the first embodiment, steps S101 to S107 are carried out.

In step S201, the score and the injury / illness name addition unit 305 reads out the injury / illness score master as shown in FIG. 14, which records the injury / illness name score assigned to the medical practice for the injury / illness name from the injury / illness score storage device 310.

In step S202, the score and the injury / illness name addition unit 305 are added to the injury / illness name added for each medical practice described in the document stored in the document entry storage device 306 based on the read injury / illness name score. As shown in 15, the injury / illness name score is added.

The score and the injury / illness name addition unit 305 stores the description items of the document to which the injury / illness name score is added in the document description item storage device 306. Further, the score and the injury / illness name addition unit 305 may output the items described in the document to which the injury / illness name score is added to the output device 405.

In step S203, the injury / illness name analysis unit 307 reads out the description items of the document to which the clinical department score, the medical practice practice score, the injury / illness name, and the injury / illness name score are added from the document description item storage device 306. The injury / illness name analysis unit 307 sorts the injury / illness names added to the medical practice described in the document based on the clinical department score, the medical practice practice score, and the injury / illness name score.

The injury / illness name analysis unit 307 stores the sorted injury / illness names in the document description item storage device 306. Further, the injury / illness name analysis unit 307 may output the sorted injury / illness name to the output device 405.

In step S204, the injury / illness name extraction unit 308 reads out the description items of the document to which the clinical department score, the medical practice practice score, the injury / illness name, and the injury / illness name score are added from the document description item storage device 306. The injury / illness name extraction unit 308 extracts a part of the injury / illness name from the injury / illness name added to the medical practice described in the document based on the clinical department score, the medical practice practice score, and the injury / illness name score.

The injury / illness name extraction unit 308 stores the extracted injury / illness name in the document description item storage device 306. Further, the injury / illness name extraction unit 308 may output the extracted injury / illness name to the output device 405.

In step S205, the injury / illness name specifying unit 309 reads out the description items of the document to which the clinical department score, the medical practice score, the injury / illness name, and the injury / illness name score are added from the document description item storage device 306. Based on the clinical department score, medical practice score, and injury / illness name score, the injury / illness name identification unit 309 selects the most probable injury / illness name of the target patient from the injury / illness name added to the medical practice described in the document. Identify.

The injury / illness name identification unit 309 stores the name of the injury / illness most likely to be the target patient of the document in the document entry storage device 306. In addition, the injury / illness name specifying unit 309 may output the injury / illness name most likely to be the target patient of the document to the output device 405.

The document analysis method according to the third embodiment is not limited to the example shown in FIG. For example, step S106 and step S107 may be omitted, and step S201 may be performed after step S105. Alternatively, when steps S106 and S107 are performed, in step S203, the injury / illness name analysis unit 307 sorts the injury / illness names based only on the injury / illness name score, and in step S204, the injury / illness name extraction unit 308 determines the injury / illness name score. A part of the injury / illness name may be extracted based on only the injury / illness name, and in step S205, the injury / illness name identification unit 309 may specify the injury / illness name most likely to be the target patient of the document based only on the injury / illness name score. Further, steps S203 to S205 are arbitrary, and any one of steps S203 to S205 may be omitted. Alternatively, it may end in step S202.

(Fourth Embodiment)
In the fourth embodiment, the items described in the document may further include diagnostic group classification information. As shown in FIG. 17, the document analysis system according to the fourth embodiment records the diagnosis group classification number score attached to the diagnosis group classification number for the injury or illness name, and stores the diagnosis group classification number score master. A score storage device 311 is further provided. The diagnostic group classification number score storage device 311 is included in, for example, the computer system 300.

As shown in FIG. 18, the diagnosis group classification number score master stored in the diagnosis group classification number score storage device 311 assigns a diagnosis group classification number score for each diagnosis group classification number for the injury or illness name. The diagnosis group classification number score is given a predetermined value in advance. For example, a combination of a high-accuracy injury / illness name and a diagnosis group classification number is given a high score, and a combination of a low-accuracy injury / illness name and a diagnosis group classification number is given a low score.

The score and injury / illness name addition unit 305 shown in FIG. 17 derives the diagnosis group classification number from the diagnosis group classification information described in the document, and adds the diagnosis group classification number score from the combination of the number of hospitalization days and the score described in the document. do.

In the fourth embodiment, the injury / illness name analysis unit 307 adds to the clinical practice described in the document based on the clinical department score, the clinical practice score, and the diagnosis group classification number score added to the clinical practice described in the document. You may sort the names of the injuries and illnesses that have been made.

For example, when the clinical department score, the medical practice score, and the diagnosis group classification number score are set so as to have a higher correlation with the injury / illness name, the injury / illness name analysis unit 307 may use the clinical department score, the medical practice score, and the diagnosis group. The names of injuries and illnesses added to the medical practice described in the document are sorted based on the sum of the classification number scores or the product of the clinical department score, the clinical practice score, and the diagnosis group classification number score.

The injury / illness name analysis unit 307 was added to the medical practice described in the document based on the clinical department score, the medical practice score, the injury / illness name score, and the diagnosis group classification number score added to the medical practice described in the document. The names of injuries and illnesses may be sorted.

The injury / illness name extraction unit 308 is based on the clinical department score, the clinical practice score, and the diagnosis group classification number score added to the medical practice described in the document, and is one of the injury / illness names added to the medical practice described in the document. The name of the injury or illness of the part may be extracted.

For example, if the higher the clinical department score, the clinical practice score, and the diagnosis group classification number score are set, the higher the correlation with the injury / illness name is set, the injury / illness name extraction unit 308 diagnoses the clinical department score and the medical practice score. The sum of the group classification number scores, or the names of some injuries and illnesses having a high product of the clinical department score, the clinical practice score, and the diagnosis group classification number score are extracted from the injuries and illness names added to the medical practice described in the document.

The injury / illness name extraction unit 308 was added to the medical practice described in the document based on the clinical department score, the medical practice score, the injury / illness name score, and the diagnosis group classification number score added to the medical practice described in the document. A part of the injury / illness name may be extracted from the injury / illness name.

The injury / illness name identification unit 309 is based on the clinical department score, the clinical practice score, and the diagnosis group classification number score added to the medical practice described in the document, and from the injury / illness name added to the medical practice described in the document. The name of the most likely injury or illness of the subject patient in the document may be identified.

For example, if the higher the clinical department score, the clinical practice score, and the diagnosis group classification number score are set, the higher the correlation with the injury / illness name is set, the injury / illness name identification unit 309 diagnoses the clinical department score and the medical practice score. The sum of the group classification number scores, or the name of the injury or illness with the highest product of the clinical department score, the clinical practice score, and the diagnosis group classification number score is specified as the most likely injury or illness name of the target patient in the document.

The injury / illness name identification unit 309 was added to the medical practice described in the document based on the clinical department score, the medical practice score, the injury / illness name score, and the diagnosis group classification number score added to the medical practice described in the document. From the name of the injury or illness, the name of the injury or illness most likely to be the target patient of the document may be specified.

Next, the document analysis method according to the fourth embodiment will be described. As shown in FIG. 19, first, step S101 to step S107 are carried out in the same manner as in the first embodiment. Further, as in the third embodiment, steps S201 to S202 are carried out.

In step S301, the score and the injury / illness name addition unit 305 reads out the diagnosis group classification number score assigned to the diagnosis group classification number for the injury / illness name as shown in FIG. 18 from the diagnosis group classification number score storage device 311.

In step S302, the score and the injury / illness name addition unit 305 are added to the injury / illness name added for each medical practice described in the document stored in the document entry storage device 306 based on the read out diagnosis group classification number score. , Diagnosis-related group classification number Add score.

The score and injury / illness name addition unit 305 stores the description items of the document to which the diagnosis group classification number score is added in the document description item storage device 306. Further, the score and the injury / illness name addition unit 305 may output the description items of the document to which the diagnosis group classification number score is added to the output device 405.

In step S303, the injury / illness name analysis unit 307 reads out the description items of the document to which the clinical department score, the medical practice score, the injury / illness name, the injury / illness name score, and the diagnosis group classification number score are added from the document description item storage device 306. .. The injury / illness name analysis unit 307 sorts the injury / illness names added to the medical practice described in the document based on the medical department score, the medical practice score, the injury / illness name, the injury / illness name score, and the diagnosis group classification number score.

The injury / illness name analysis unit 307 stores the sorted injury / illness names in the document description item storage device 306. Further, the injury / illness name analysis unit 307 may output the sorted injury / illness name to the output device 405.

In step S304, the injury / illness name extraction unit 308 reads out the description items of the document to which the clinical department score, the medical practice practice score, the injury / illness name, the injury / illness name score, and the diagnosis group classification number score are added from the document description item storage device 306. .. The injury / illness name extraction unit 308 is based on the clinical department score, the clinical practice score, the injury / illness name, the injury / illness name score, and the diagnosis group classification number score. Is extracted.

The injury / illness name extraction unit 308 stores the extracted injury / illness name in the document description item storage device 306. Further, the injury / illness name extraction unit 308 may output the extracted injury / illness name to the output device 405.

In step S305, the injury / illness name identification unit 309 reads out the description items of the document to which the clinical department score, the medical practice practice score, the injury / illness name, the injury / illness name score, and the diagnosis group classification number score are added from the document description item storage device 306. .. The injury / illness name identification unit 309 is the target patient of the document from the injury / illness name added to the medical practice described in the document based on the clinical department score, the medical practice score, the injury / illness name, the injury / illness name score, and the diagnosis group classification number score. Identify the most probable injury or illness name.

The injury / illness name identification unit 309 stores the name of the injury / illness most likely to be the target patient of the document in the document entry storage device 306. In addition, the injury / illness name specifying unit 309 may output the injury / illness name most likely to be the target patient of the document to the output device 405.

The document analysis method according to the fourth embodiment is not limited to the example shown in FIG. For example, step S106 and step S107 may be omitted, and step S201 may be performed after step S105. Alternatively, when steps S106 and S107 are performed, in step S303, the injury / illness name analysis unit 307 sorts the injury / illness names based only on the injury / illness name score and the diagnosis group classification number score, and in step S304, the injury / illness name extraction unit. 308 extracts a part of the injury / illness name based only on the injury / illness name score and the diagnosis group classification number score, and in step S305, the injury / illness name identification unit 309 is the subject of the document based only on the injury / illness name score and the diagnosis group classification number score. The name of the patient's most likely injury or illness may be identified. Further, steps S303 to S305 are arbitrary, and any one of steps S303 to S305 may be omitted. Alternatively, it may end in step S302.

Further, steps S201 and S202 may be omitted. In this case, in step S303, the injury / illness name analysis unit 307 sorts the injury / illness names based only on the diagnosis group classification number score, and in step S304, the injury / illness name extraction unit 308 partially bases on the diagnosis group classification number score only. The injury / illness name may be extracted, and in step S305, the injury / illness name identification unit 309 may identify the most likely injury / illness name of the target patient of the document based only on the diagnosis group classification number score.

(Fifth Embodiment)
In the fifth embodiment, the items described in the document may further include medical fee points. As shown in FIG. 20, the document analysis system according to the fifth embodiment is a medical fee point score storage device 312 that stores a medical fee point score master that records medical fee point scores attached to medical fee points for medical treatment. Further prepare. The medical fee point score storage device 312 is included in, for example, the computer system 300. The medical fee point score master and the diagnosis group classification number score master described in the fourth embodiment may be integrated.

As shown in FIG. 21, the medical fee point score master stored in the medical fee point score storage device 312 attaches a medical fee point score for each medical fee point for the medical treatment practice. The medical fee point score is given a predetermined value in advance. For example, a combination of high-accuracy medical practice and medical fee points is given a high score, and a combination of low-accuracy medical practice and medical fee points is given a low score.

The score and injury / illness name addition unit 305 shown in FIG. 20 adds a medical fee point score to the combination of the medical treatment fee name added for each medical treatment practice described in the document and the medical fee point score described in the document. do.

In the fifth embodiment, the injury / illness name analysis unit 307 is added to the medical treatment practice described in the document based on the clinical department score, the medical treatment practice score, and the medical treatment fee score score added to the medical treatment practice described in the document. You may sort the names of injuries and illnesses.

For example, if the higher the clinical department score, the medical practice score, and the medical fee score score are set, the higher the correlation with the injury / illness name is set, the injury / illness name analysis unit 307 sets the clinical department score, the medical practice score, and the medical fee. The names of injuries and illnesses added to the medical treatment practice described in the document are sorted based on the sum of the score scores or the product of the clinical department score, the medical treatment practice score, and the medical treatment fee score score.

The injury / illness name analysis unit 307 is based on the clinical department score, the medical practice score, the injury / illness name score, and the medical fee point score added to the medical practice described in the document, and the injury / illness added to the medical practice described in the document. You may sort the names.

The injury / illness name analysis unit 307 describes the medical treatment described in the document based on the clinical department score, the medical practice score, the injury / illness name score, the diagnosis group classification number score, and the medical fee score score added to the medical treatment practice described in the document. The names of injuries and illnesses added to the act may be sorted.

The injury / illness name extraction unit 308 partially extracts the injury / illness name added to the medical practice described in the document based on the clinical department score, the medical practice score, and the medical fee score score added to the medical practice described in the document. The name of the injury or illness may be extracted.

For example, if the higher the clinical department score, the medical practice score, and the medical fee score score are set, the higher the correlation with the injury / illness name is set, the injury / illness name extraction unit 308 sets the clinical department score, the medical practice score, and the medical fee. The sum of the score scores, or the names of some injuries and illnesses with a high product of the clinical department score, the medical treatment practice score, and the medical treatment fee score score are extracted from the injuries and illness names added to the medical practice described in the document.

The injury / illness name extraction unit 308 is based on the clinical department score, the medical practice score, the injury / illness name score, and the medical fee point score added to the medical practice described in the document, and the injury / illness added to the medical practice described in the document. Some injuries and illness names may be extracted from the names.

The injury / illness name extraction unit 308 describes the medical treatment described in the document based on the clinical department score, the medical practice score, the injury / illness name score, the diagnosis group classification number score, and the medical fee score score added to the medical practice described in the document. A part of the injury / illness name may be extracted from the injury / illness name added to the act.

The injury / illness name identification unit 309 is based on the clinical department score, the medical treatment practice score, and the medical fee point score added to the medical practice described in the document, and the document is based on the injury / illness name added to the medical practice described in the document. The name of the most probable injury or illness of the target patient may be identified.

For example, if the higher the clinical department score, the medical practice score, and the medical fee score score are set, the higher the correlation with the injury / illness name is set, the injury / illness name identification unit 309 has the clinical department score, the medical practice score, and the medical fee. The name of the injury or illness with the highest sum of the score scores, or the product of the clinical department score, the clinical practice score, and the medical fee score score is specified as the most probable injury / illness name of the target patient in the document.

The injury / illness name identification unit 309 is based on the clinical department score, the medical practice score, the injury / illness name score, and the medical fee point score added to the medical practice described in the document, and the injury / illness added to the medical practice described in the document. From the name, the name of the most likely injury or illness of the subject patient in the document may be identified.

The injury / illness name identification unit 309 describes the medical treatment described in the document based on the clinical department score, the medical practice score, the injury / illness name score, the diagnosis group classification number score, and the medical fee score score added to the medical treatment practice described in the document. From the name of the injury or illness added to the act, the name of the injury or illness most likely to be the target patient of the document may be specified.

Next, the document analysis method according to the fifth embodiment will be described. As shown in FIG. 22, first, step S101 to step S107 are carried out in the same manner as in the first embodiment. Further, as in the third embodiment, steps S201 to S202 are carried out, and as in the fourth embodiment, steps S301 to S302 are carried out.

In step S401, the score and the injury / illness name addition unit 305 reads out the medical fee point score attached to the medical fee point for the medical treatment as shown in FIG. 21 from the medical fee point score storage device 312.

In step S402, the score and the medical fee point addition unit 305 adds the medical fee point score to the medical treatment practice described in the document stored in the document entry storage device 306 based on the read medical fee point score. ..

The score and injury / illness name addition unit 305 stores the description items of the document to which the medical fee point score is added in the document description item storage device 306. Further, the score and the injury / illness name addition unit 305 may output the items described in the document to which the medical fee point score is added to the output device 405.

In step S403, the injury / illness name analysis unit 307 describes the items to be described in the document to which the clinical department score, the medical practice score, the injury / illness name, the injury / illness name score, the diagnosis group classification number score, and the medical fee point score are added. Read from the storage device 306. The injury / illness name analysis unit 307 sorts the injury / illness names added to the medical practice described in the document based on the medical practice score, the injury / illness name, the injury / illness name score, the diagnosis group classification number score, and the medical fee point score.

The injury / illness name analysis unit 307 stores the sorted injury / illness names in the document description item storage device 306. Further, the injury / illness name analysis unit 307 may output the sorted injury / illness name to the output device 405.

In step S404, the injury / illness name extraction unit 308 describes the items to be described in the document to which the clinical department score, the medical practice score, the injury / illness name, the injury / illness name score, the diagnosis group classification number score, and the medical fee point score are added. Read from the storage device 306. The injury / illness name extraction unit 308 is based on the clinical department score, medical practice score, injury / illness name, injury / illness name score, diagnosis group classification number score, and medical fee point score, from the injury / illness name added to the medical practice described in the document. Extract some injury and illness names.

The injury / illness name extraction unit 308 stores the extracted injury / illness name in the document description item storage device 306. Further, the injury / illness name extraction unit 308 may output the extracted injury / illness name to the output device 405.

In step S405, the injury / illness name identification unit 309 describes the items to be described in the document to which the clinical department score, the medical practice score, the injury / illness name, the injury / illness name score, the diagnosis group classification number score, and the medical fee point score are added. Read from the storage device 306. The injury / illness name identification unit 309 is based on the clinical department score, medical practice score, injury / illness name, injury / illness name score, diagnosis group classification number score, and medical fee point score, and is based on the injury / illness name added to the medical practice described in the document. , Identify the most likely injury or illness name for the subject patient in the document.

The injury / illness name identification unit 309 stores the name of the injury / illness most likely to be the target patient of the document in the document entry storage device 306. In addition, the injury / illness name specifying unit 309 may output the injury / illness name most likely to be the target patient of the document to the output device 405.

The document analysis method according to the fifth embodiment is not limited to the example shown in FIG. For example, step S106 and step S107 may be omitted, and step S201 may be performed after step S105. Alternatively, when steps S106 and S107 are performed, in step S403, the injury / illness name analysis unit 307 sorts the injury / illness names based only on the injury / illness name score, the diagnosis group classification number score, and the medical fee point score, and then steps S404. Then, the injury / illness name extraction unit 308 extracts a part of the injury / illness name based only on the injury / illness name score, the diagnosis group classification number score, and the medical fee point score, and in step S405, the injury / illness name identification unit 309 has the injury / illness name score. , Diagnosis Procedure Combination Number Score, and Medical Fee Reimbursement Score Score alone may be used to identify the most probable injury or illness name for the subject patient in the document. Further, steps S403 to S405 are arbitrary, and any one of steps S403 to S405 may be omitted. Alternatively, it may end in step S402.

Further, steps S201 and S202 may be omitted. In this case, in step S403, the injury / illness name analysis unit 307 sorts the injury / illness names based only on the diagnosis group classification number score and the medical fee point score, and in step S404, the injury / illness name extraction unit 308 uses the diagnosis group classification number score and Part of the injury / illness name is extracted based only on the medical fee point score, and in step S405, the injury / illness name identification unit 309 is most likely to be the target patient of the document based only on the diagnosis group classification number score and the medical fee point score. The name of the injury or illness may be specified.

Further, step S302 may be omitted from step S301. In this case, in step S403, the injury / illness name analysis unit 307 sorts the injury / illness names based only on the medical fee score score, and in step S404, the injury / illness name extraction unit 308 sorts some injury / illness names based only on the medical fee score score. In step S405, the injury / illness name identification unit 309 may specify the injury / illness name most likely to be the target patient of the document based only on the medical fee point score.

Although the invention has been described by embodiment as described above, the description and drawings that form part of this disclosure should not be understood to limit the invention. This disclosure should reveal to those skilled in the art various alternative embodiments, examples and operational techniques. It should be understood that the present invention includes various embodiments not described here.

101 ... patient number, 102 ... patient name, 103 ... consultation date, 105 ... medical practice classification, 106 ... medical practice, 107 ... medical fee points, 300 ... computer system , 301 ... Document entry receiving unit, 302 ... Medical department score storage device, 303 ... Medical practice score storage device, 304 ... Injury and illness name storage device, 305 ... Injury and illness name addition unit, 306 ... Document description storage device, 307 ... Injury and illness name analysis unit, 308 ... Injury and illness name extraction unit, 309 ... Injury and illness name identification unit, 310 ... Injury and illness score storage device, 311 ... Diagnosis Group classification number Score storage device, 312 ... Medical fee score score storage device, 401 ... Document input device, 405 ... Output device

Claims (34)

Document entry receiving unit that receives the entry of the document including the description of at least one medical practice,
A medical practice score storage device that stores the medical practice score attached to the medical practice, and
An injury / illness name storage device that stores the injury / illness name corresponding to medical practice,
For each of the medical practices described in the document, the medical practice score, the score for adding the injury / illness name, and the injury / illness name addition section,
A document analysis system. The document analysis system according to claim 1, wherein the medical practice score is determined for each application site of the medical practice. Claim 1 or claim 1 or claim 1, further comprising an injury / illness name analysis unit that sorts the injury / illness names added to the medical practice described in the document based on the medical practice score added to the medical practice described in the document. Document analysis system according to 2. An injury / illness name extraction unit that extracts a part of the injury / illness name from the injury / illness name added to the medical practice described in the document is further added based on the medical practice score added to the medical practice described in the document. The document analysis system according to claim 1 or 2. Based on the medical practice score added to the medical practice described in the document, the name of the injury or illness added to the medical practice described in the document is the most probable name of the injury or illness of the target patient of the document. The document analysis system according to claim 1 or 2, further comprising an injury / illness name specifying unit for specifying the above. It is further equipped with an injury / illness score storage device that stores the injury / illness name score attached to the medical practice for the injury / illness name.
The score and the injury / illness name addition unit add the injury / illness name score to the injury / illness name added for each medical practice described in the document.
The document analysis system according to claim 1 or 2. Further provided is an injury / illness name analysis unit that sorts the injury / illness names added to the medical practice described in the document based on the medical practice score added to the medical practice and the injury / illness name score described in the document. , The document analysis system according to claim 6. Based on the medical practice score and the injury / illness name score added to the medical practice described in the document, a part of the injury / illness name is extracted from the injury / illness name added to the medical practice described in the document. The document analysis system according to claim 6, further comprising a name extraction unit. Based on the medical practice score added to the medical practice described in the document and the injury / illness name score, the injury / illness name added to the medical practice described in the document is the most possible of the target patient of the document. The document analysis system according to claim 6, further comprising an injury / illness name specifying unit for specifying a highly sexual injury / illness name. The items described in the above documents further include diagnostic group classification information.
Further equipped with a diagnostic group classification number score storage device for storing the diagnostic group classification number score attached to the diagnostic group classification number for the injury or illness name.
The score and the injury / illness name addition unit derive a diagnosis group classification number from the diagnosis group classification information described in the document, and the diagnosis is added to the injury / illness name added for each medical practice described in the document. Add group classification number score,
The document analysis system according to claim 1 or 2. An injury / illness name analysis unit that sorts the injury / illness names added to the medical practice described in the document based on the medical practice score added to the medical practice and the diagnosis group classification number score described in the document. The document analysis system according to claim 10, further comprising. Based on the medical practice score added to the medical practice described in the document and the diagnosis group classification number score, a part of the injury / illness name is extracted from the injury / illness name added to the medical practice described in the document. The document analysis system according to claim 10, further comprising an injury / illness name extraction unit. Based on the medical practice score added to the medical practice described in the document and the diagnosis group classification number score, the injury / illness name added to the medical practice described in the document is used to determine the target patient of the document. The document analysis system according to claim 10, further comprising an injury / illness name identification unit for identifying the most probable injury / illness name. The items described in the above documents further include medical fee points.
It is further equipped with a medical fee point score storage device that stores the medical fee point score attached to the medical fee points for the name of injury or illness.
The score and the injury / illness name addition unit adds the medical fee point score to the injury / illness name added for each medical practice described in the document.
The document analysis system according to claim 1 or 2. An injury / illness name analysis unit that sorts the injury / illness names added to the medical practice described in the document based on the medical practice score added to the medical practice and the medical fee score score described in the document is further added. The document analysis system according to claim 14. Based on the medical treatment practice score and the medical fee point score added to the medical treatment practice described in the document, a part of the injury and illness name is extracted from the injury and illness name added to the medical treatment practice described in the document. The document analysis system according to claim 14, further comprising an injury / illness name extraction unit. Based on the medical treatment practice score added to the medical treatment practice and the medical treatment fee score score described in the document, the name of the injury or illness added to the medical treatment practice described in the document is the most of the target patient of the document. The document analysis system according to claim 14, further comprising an injury / illness name specifying unit for identifying a likely injury / illness name. When the document entry receiving unit receives the document entry including at least one medical practice,
Based on the medical practice score master that records the medical practice score attached to the medical practice and the injury / illness name master that records the injury / illness name corresponding to the medical practice, the score and the injury / illness name addition section are described in the above-mentioned document. Adding the medical practice score and the injury / illness name to each medical practice,
Document analysis methods, including. The document analysis method according to claim 18, wherein the medical practice score is determined for each application site of the medical practice. A claim further comprising sorting the injury / illness name added to the medical practice described in the document by the injury / illness name analysis unit based on the medical practice score added to the medical practice described in the document. Item 8. The document analysis method according to Item 18. Based on the medical practice score added to the medical practice described in the document, the injury / illness name extraction unit extracts a part of the injury / illness name from the injury / illness name added to the medical practice described in the document. The document analysis method according to claim 18 or 19, further comprising the above. Based on the medical practice score added to the medical practice described in the document, the injury / illness name identification unit is the most targeted patient of the document from the injury / illness name added to the medical practice described in the document. The document analysis method according to claim 18 or 19, further comprising identifying the name of a likely injury or illness. Based on the injury / illness score master that records the injury / illness name score attached to the medical practice for the injury / illness name, the score and the injury / illness name addition section are added to the injury / illness name added for each medical practice described in the document. The document analysis method according to claim 18 or 19, further comprising adding an injury / illness name score. The injury / illness name analysis unit sorts the injury / illness names added to the medical practice described in the document based on the medical practice score added to the medical practice and the injury / illness name score described in the document. 23. The document analysis method according to claim 23. Based on the medical practice score and the injury / illness name score added to the medical practice described in the document, the injury / illness name extraction unit is a part of the injury / illness name added to the medical practice described in the document. 23. The document analysis method of claim 23, further comprising extracting the name of the injury or illness. Based on the medical practice score and the injury / illness name score added to the medical practice described in the document, the injury / illness name identification unit is based on the injury / illness name added to the medical practice described in the document. 23. The document analysis method of claim 23, further comprising identifying the most likely injury or illness name of the subject patient. The items described in the above documents further include diagnostic group classification information.
Based on the diagnosis group classification number score master that records the diagnosis group classification number score attached to the diagnosis group classification number for the injury or illness name, the score and the injury or illness name addition section make a diagnosis from the diagnosis group classification information described in the document. The group classification number is derived, and the diagnosis group classification number score is further added to the injury / illness name added for each medical practice described in the document.
The document analysis method according to claim 18 or 19. Based on the medical practice score added to the medical practice described in the document and the diagnosis group classification number score, the injury / illness name analysis unit sorts the injury / illness names added to the medical practice described in the document. 27. The document analysis method of claim 27, further comprising: Based on the medical practice score and the diagnosis group classification number score added to the medical practice described in the document, the injury / illness name extraction unit is one from the injury / illness names added to the medical practice described in the document. The document analysis method according to claim 27, further comprising extracting the name of the injury or illness of the part. Based on the medical practice score and the diagnosis group classification number score added to the medical practice described in the document, the injury / illness name identification unit is based on the injury / illness name added to the medical practice described in the document. 28. The document analysis method of claim 27, further comprising identifying the most likely injury or illness name of the subject patient of the document. The items described in the above documents further include medical fee points.
Based on the medical fee point score master that records the medical fee point score attached to the medical fee points for the injury and illness name, the score and the injury and illness name addition section are added for each medical treatment practice described in the document. Further including adding the medical fee point score to the name,
The document analysis method according to claim 18 or 19. The injury / illness name analysis unit sorts the injury / illness names added to the medical practice described in the document based on the medical practice score added to the medical practice described in the document and the medical fee score score. The document analysis method according to claim 31, further comprising the above. Based on the medical treatment practice score added to the medical treatment practice and the medical treatment fee score score described in the document, the injury / illness name extraction unit partially extracts the injury / illness name added to the medical treatment practice described in the document. 31. The document analysis method of claim 31, further comprising extracting the name of the injury or illness. Based on the medical treatment practice score added to the medical treatment practice and the medical treatment fee score score described in the document, the injury / illness name identification unit is based on the injury / illness name added to the medical treatment practice described in the document. The document analysis method of claim 31, further comprising identifying the most likely injury or illness name of the subject patient of the document.

Images