CN114078572A - Medical record information processing method and device - Google Patents
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Abstract
The embodiment of the application provides a medical record information processing method and device, belongs to the technical field of medical assistance, and particularly relates to medical record information processing. The method comprises the following steps: acquiring a medical record of a target patient, wherein the medical record comprises symptom information and/or examination information; structuring the medical record to extract the symptom information and/or the examination information; and matching the corresponding target diseases according to the symptom information and/or the examination information. In the embodiment of the application, the medical record of the patient is subjected to structural processing, the symptom information and/or the examination information in the medical record of the patient are extracted, and the corresponding target disease is matched according to the symptom information and/or the examination information, so that the doctor can be assisted in judging the disease, the error of disease judgment caused by insufficient experience of the doctor is avoided, and the wrong treatment scheme is prevented from being provided for the patient.
Description
Technical Field
The embodiment of the application relates to the technical field of medical assistance, in particular to a medical record information processing method and device.
Background
At present, doctors diagnose diseases for patients mainly determine the diseases suffered by the patients according to symptom information and/or examination information recorded on medical records of the patients and judgment of the doctors and then provide corresponding treatment schemes based on the determined diseases.
In the process of determining the disease, doctors are required to be familiar with symptoms possibly caused by the disease and characteristics expressed in the examination sufficiently to ensure accurate disease judgment, however, for doctors with relatively little experience, if the symptoms are similar, misjudgment of the disease may occur, so that an accurate treatment scheme cannot be provided for patients.
Disclosure of Invention
The embodiment of the application aims to provide a medical record information processing method and device, which can solve the problem of wrong disease judgment caused by insufficient experience of doctors.
In order to solve the technical problem, the present application is implemented as follows:
in a first aspect, an embodiment of the present application provides a medical record information processing method, where the method includes:
acquiring a medical record of a target patient, wherein the medical record comprises symptom information and/or examination information;
structuring the medical record to extract the symptom information and/or the examination information;
and matching the corresponding target diseases according to the symptom information and/or the examination information.
In some embodiments, the structuring the medical record to extract the symptom information and/or the examination information includes:
and identifying a target field corresponding to the symptom information and/or the examination information from the medical record through a Natural Language Processing (NLP) technology, and extracting the target field.
In some embodiments, said matching the corresponding target disease according to said symptom information and/or said examination information comprises:
according to a first mapping relation between the prestored symptom information and/or examination information and diseases, matching one or more inferred diseases according to the symptom information and/or the examination information;
determining the target disease from the one or more inferred diseases.
In some embodiments, prior to said determining said target disease from said one or more inferred diseases, said method further comprises:
and displaying the one or more inferred diseases according to the correlation degree sequence according to the correlation degree between the symptom information and/or the examination information and the diseases.
In some embodiments, said determining said target disease from said one or more inferred diseases comprises:
determining an inferred disease of the one or more inferred diseases that is most highly correlated with the symptom information and/or the examination information as the target disease;
or,
receiving a selection operation of a user on any inferred disease of the one or more inferred diseases;
in response to the selecting operation, determining the selected inferred disease as the target disease.
In some embodiments, after the matching one or more inferred diseases, the method further comprises:
displaying an auxiliary diagnostic profile based on the symptom information and/or the examination information, and the one or more inferred diseases;
the auxiliary diagnosis map comprises:
a first icon for representing the symptom information and/or the examination information;
a second icon for representing the one or more inferred diseases;
a first identifier for representing a correspondence between the symptom information and/or the examination information and the inferred disease.
In some embodiments, the method further comprises:
displaying a third icon and a second identifier in the auxiliary diagnosis map according to a second mapping relation between the pre-stored inferred disease and the examination item;
the third icon is used for representing the checking item;
the second identification is used for representing the corresponding relation between the inferred disease and the examination item.
In some embodiments, the method further comprises:
displaying a fourth icon and a third identifier in the auxiliary diagnosis map according to a prestored third mapping relation between the inferred disease and the medicine;
the fourth icon is used for representing the medicine;
the third identification is used for representing the corresponding relation between the inferred disease and the medicine.
In a second aspect, an embodiment of the present application provides an apparatus for processing medical record information, where the apparatus includes:
the acquisition module is used for acquiring a medical record of a target patient, wherein the medical record comprises symptom information and/or examination information;
the extraction module is used for carrying out structural processing on the medical record and extracting the symptom information and/or the inspection information;
and the matching module is used for matching the corresponding target diseases according to the symptom information and/or the examination information.
In some embodiments, the extraction module is specifically configured to:
and identifying a target field corresponding to the symptom information and/or the examination information from the medical record through an NLP technology, and extracting the target field.
In some embodiments, the matching module comprises:
the matching unit is used for matching one or more inferred diseases according to the symptom information and/or the examination information according to a first mapping relation between the prestored symptom information and/or examination information and the diseases;
a determination unit for determining the target disease from the one or more inferred diseases.
In some embodiments, the matching module further comprises:
a first display unit for displaying the one or more inferred diseases according to the correlation degree sequence according to the correlation degree between the symptom information and/or the examination information and the diseases.
In some embodiments, the determining unit includes:
a first determining subunit, configured to determine, as the target disease, an inferred disease of the one or more inferred diseases that is most highly correlated with the symptom information and/or the examination information;
the receiving subunit is used for receiving the selection operation of the user on any inferred disease in the one or more inferred diseases;
a second determining subunit, configured to determine the selected inferred disease as the target disease in response to the selecting operation.
In some embodiments, the apparatus further comprises:
a display module for displaying an auxiliary diagnostic map based on the symptom information and/or the examination information, and the one or more inferred diseases;
the auxiliary diagnosis map comprises:
a first icon for representing the symptom information and/or the examination information;
a second icon for representing the one or more inferred diseases;
a first identifier for representing a correspondence between the symptom information and/or the examination information and the inferred disease.
In some embodiments, the display module is further configured to:
displaying a third icon and a second identifier in the auxiliary diagnosis map according to a second mapping relation between the pre-stored inferred disease and the examination item;
the third icon is used for representing the checking item;
the second identification is used for representing the corresponding relation between the inferred disease and the examination item.
In some embodiments, the display module is further configured to:
displaying a fourth icon and a third identifier in the auxiliary diagnosis map according to a prestored third mapping relation between the inferred disease and the medicine;
the fourth icon is used for representing the medicine;
the third identification is used for representing the corresponding relation between the inferred disease and the medicine.
In a fifth aspect, an embodiment of the present application provides a chip, where the chip includes a processor and a communication interface, where the communication interface is coupled to the processor, and the processor is configured to execute a program or instructions to implement the method according to the first aspect.
In the embodiment of the application, the medical record of the patient is subjected to structural processing, the symptom information and/or the examination information in the medical record of the patient are extracted, and the corresponding target disease is matched according to the symptom information and/or the examination information, so that the doctor can be assisted in judging the disease, the error of disease judgment caused by insufficient experience of the doctor is avoided, and the wrong treatment scheme is prevented from being provided for the patient.
Drawings
Fig. 1 is a schematic flow chart of a medical record information processing method according to an embodiment of the present application;
FIG. 2 is a schematic structural diagram of an auxiliary diagnostic map of a lifting cabinet according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a medical record information processing apparatus according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms first, second and the like in the description and in the claims of the present application are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that embodiments of the application may be practiced in sequences other than those illustrated or described herein, and that the terms "first," "second," and the like are generally used herein in a generic sense and do not limit the number of terms, e.g., the first term can be one or more than one. In addition, "and/or" in the specification and claims means at least one of connected objects, a character "/" generally means that a preceding and succeeding related objects are in an "or" relationship.
The medical record information processing method provided by the embodiment of the present application is described in detail below with reference to the accompanying drawings through specific embodiments and application scenarios thereof.
Referring to fig. 1, an embodiment of the present application provides a medical record information processing method, including:
step 101: acquiring a medical record of a target patient;
in the embodiment of the present application, the medical record may include information recorded after a physician performs a preliminary inquiry on a target patient, such as: patient dictation of malaise, and the medical record may also include past medical records of the patient, such as: the past medical history, allergic history, medication history of the patients and the like. Specifically, the medical record includes symptom information and/or examination information, and the symptom information is used to indicate the disease characteristics of the patient, such as: abdominal pain, dizziness, palpitations, etc., and the examination information is used to indicate the examination or examination results that the patient has done, such as: low blood pressure, congestion of the pharynx, etc.
It is understood that the medical record can be generated by a doctor inputting on a terminal device such as a computer, for example: the patient is prescribed using a Clinical Decision Support System (CDSS) installed on a computer, or alternatively, historical data retrieved from the System.
Step 102: structuring the medical record, and extracting symptom information and/or examination information;
in the embodiment of the application, the medical record is subjected to structuring processing, and required information is extracted from the medical record, namely symptom information and/or examination information is extracted for subsequent judgment of the target disease.
Specifically, the target field corresponding to the symptom information and/or the examination information may be identified from the medical record by a Natural Language Processing (NLP) technique, and the target field may be extracted.
By way of example, a piece of medical record content is provided below:
the main complaints are: fever for 3 days, cough for 1 day;
the current medical history: fever appeared 3 days ago, body temperature was higher than 39.2 ℃, there was no shivering and twitch, yestery cough appeared, it was paroxysmal vocal cough, without asthma, slight hoarseness, thin nasal discharge, slightly poor receiving, no vomiting, no diarrhea, no abnormal stool and urine, and sleep onset. Treating with external paracetamol, chlorphenamine maleate, cefixime, antiinflammatory, and dexamethasone. The effect is not good.
History of the past: none.
Physical examination: refreshing, refreshing and smooth breath. Hoarseness, no rash, congestion of pharynx, heavy tonsil on both sides, no purulent secretion, soft neck, coarse respiratory sound of both lungs, no abnormality of heart and lung, and no abnormality of nervous system.
Auxiliary inspection: none.
The above medical records are structured by the NLP technology, and the following can be obtained:
symptom information: fever, cough, no chills and convulsion, paroxysmal coughing with voice, no asthma, slight hoarseness, thin nasal discharge, poor appetite, no vomiting, no diarrhea, no abnormal stool and urine, and sleep onset. Further, some non-abnormal symptoms may be removed from it by semantic recognition, such as: no asthma, no vomiting, no abnormal stool and urine, etc.
Checking information: treating with external paracetamol, chlorphenamine maleate, cefixime, antiinflammatory, and dexamethasone. Poor effect, clear mind, mental capacity, flat breath, no rash, congestion of pharynx, heavy tonsil on both sides, no purulent secretion, soft neck, thick respiratory sound of both lungs, no abnormality of heart and lung, and no abnormality of nervous system. Further, some non-abnormal inspection results may be removed therefrom by semantic recognition, such as: clear mind, spiritual function, no rash, no purulent secretion, no abnormality in heart and lung, and no abnormality in nervous system.
Step 103: matching the corresponding target disease according to the symptom information and/or the examination information;
in the embodiment of the present application, the corresponding target disease is matched based on the extracted symptom information and/or examination information.
Specifically, one or more inferred diseases are matched according to the symptom information and/or the examination information and a first mapping relation between the prestored symptom information and/or examination information and the diseases; determining a target disease from the one or more inferred diseases. The possible one or more inferred diseases are matched in advance through the prestored first mapping relation, and then the target disease is determined in the one or more inferred diseases.
Optionally, prior to determining the target disease from the one or more inferred diseases, the method further comprises: and displaying one or more inferred diseases according to the correlation between the symptom information and/or the examination information and the diseases.
In the embodiment of the application, after a plurality of inferred diseases are matched, all the inferred diseases are displayed in sequence according to the degree of correlation with the symptom information and/or the examination information, so that the doctor is provided with optional diseases, and simultaneously, the doctor can know the possibility of the diseases more through the sequencing of the inferred diseases, and the auxiliary diagnosis effect is improved.
For example, a plurality of inferred diseases are obtained based on the symptom information and examination information extracted in the foregoing example, and then displayed in order of relevance: acute bronchitis; acute tonsillitis; upper respiratory tract infections; bronchopneumonia.
In some embodiments, the determining the target disease from the one or more inferred diseases comprises:
determining an inferred disease with the highest correlation with the symptom information and/or the examination information among the one or more inferred diseases as a target disease;
in the embodiment of the application, the inferred disease with the highest correlation is determined as the target disease, namely the system determines the target disease for a doctor, so that the error of judging the disease by the inexperienced doctor can be effectively prevented. It will be appreciated that after the system automatically determines the target disease, the physician is allowed to make manual modifications, i.e., the physician's authority to modify the diagnostic results is preserved.
Alternatively, the determining the target disease from one or more inferred diseases described above comprises: receiving a selection operation of a user on any inferred disease in one or more inferred diseases; in response to the selecting operation, the selected inferred disease is determined to be the target disease.
In the embodiment of the application, one or more inferred diseases displayed in sequence are only used for providing reference for doctors, the final target disease determination is still determined by the doctors, and the method is suitable for doctors with certain experience, so that effective reference can be provided for the doctors, the situation of poor consideration is avoided, and the diagnosis accuracy is improved.
In some embodiments, after matching the one or more inferred diseases, the method further comprises:
displaying an auxiliary diagnostic profile based on the symptom information and/or the test information, and the one or more inferred diseases;
the auxiliary diagnosis map comprises:
a first icon for representing symptom information and/or examination information;
a second icon for representing one or more inferred diseases;
a first identifier for representing a correspondence between the symptom information and/or the examination information and the inferred disease. The relevant symptom information and/or examination information is linked to the inferred disease, for example by means of a link identification.
In the embodiment of the application, the symptom information and/or the examination information are displayed in the form of the map, and the relationship between the diseases is deduced, so that a doctor can more intuitively see the relationship between the deduced diseases and the symptom information and/or the examination information provided by the system, the reference is clearer, and the efficiency of confirming the target diseases by the doctor is improved.
Optionally, the method further comprises: displaying a third icon and a second identifier in the auxiliary diagnosis map according to a second mapping relation between the pre-stored inferred disease and the examination item;
the third icon is used for representing an inspection item;
the second identifier is used for indicating the corresponding relation between the inferred disease and the examination item.
Optionally, the method further comprises: displaying a fourth icon and a third identifier in the auxiliary diagnosis map according to a prestored third mapping relation between the inferred disease and the medicine;
the fourth icon is used for representing a medicine;
the third mark is used for deducing the corresponding relation between the disease and the medicine.
In the embodiment of the application, the auxiliary diagnosis map can be added with the examination items and the labels of the medicines corresponding to the recommended diseases, so that a reference can be further provided for a doctor to subsequently formulate a treatment scheme.
The assisted diagnosis map is described below with reference to the examples, and the target patient medical records are as follows:
repeated epigastric pain and dark stool for one day. Abdominal pain with acid regurgitation, usually occurs in an empty stomach. Yesterday attacks again and relieves the symptoms of 4 times of shit with pasty cedar oil, about 1000ml of shit, dizziness and palpitation after shit. Physical examination: blood pressure 80/50mmHg (low blood pressure), heart rate 110 times/min, no liver palm, spider nevus. Deep tenderness and no rebound pain exist under the epigastric xiphoid process. The liver and spleen are not touched under the costal region. Bowel sound 6 times/min, blood Hb70g/L RBC 3.0 × 1012Per L (anemia), Pt 230X 109/L，ALT40IU/L，A/G 1.3(+++)。
According to the medical records, structural processing is carried out through NLP, symptom information and examination information are extracted, then corresponding recommended diseases are matched, and then an auxiliary diagnosis map is generated.
Referring to fig. 2, an auxiliary diagnostic map generated based on the medical records is shown. According to the atlas, doctors can clearly and intuitively see that the maximum probability of the patient suffering from the disease is upper gastrointestinal hemorrhage, and meanwhile, according to the atlas, some medication and examination suggestions for subsequent treatment are provided for the doctors, such as: omeprazole, cimetidine and other drugs can be used for endoscopy, X-ray barium contrast and other examinations.
In the medical record information processing method provided in the embodiment of the present application, the execution main body may be a medical record information processing apparatus, or a control module in the medical record information processing apparatus for executing the medical record information processing method. In the embodiment of the present application, a medical record information processing apparatus executes a medical record information processing method as an example, and a medical record information processing apparatus provided in the embodiment of the present application is described
Referring to fig. 3, an embodiment of the present application provides a medical record information processing apparatus 300, where the apparatus 300 includes:
an obtaining module 301, configured to obtain a medical record of a target patient, where the medical record includes symptom information and/or examination information;
an extraction module 302, configured to perform structural processing on the medical record, and extract the symptom information and/or the examination information;
a matching module 303, configured to match a corresponding target disease according to the symptom information and/or the examination information.
In some embodiments, the extraction module is specifically configured to:
and identifying a target field corresponding to the symptom information and/or the examination information from the medical record through an NLP technology, and extracting the target field.
In some embodiments, the matching module comprises:
the matching unit is used for matching one or more inferred diseases according to the symptom information and/or the examination information according to a first mapping relation between the prestored symptom information and/or examination information and the diseases;
a determination unit for determining the target disease from the one or more inferred diseases.
In some embodiments, the matching module further comprises:
a first display unit for displaying the one or more inferred diseases according to the correlation degree sequence according to the correlation degree between the symptom information and/or the examination information and the diseases.
In some embodiments, the determining unit includes:
a first determining subunit, configured to determine, as the target disease, an inferred disease of the one or more inferred diseases that is most highly correlated with the symptom information and/or the examination information;
the receiving subunit is used for receiving the selection operation of the user on any inferred disease in the one or more inferred diseases;
a second determining subunit, configured to determine the selected inferred disease as the target disease in response to the selecting operation.
In some embodiments, the apparatus further comprises:
a display module for displaying an auxiliary diagnostic map based on the symptom information and/or the examination information, and the one or more inferred diseases;
the auxiliary diagnosis map comprises:
a first icon for representing the symptom information and/or the examination information;
a second icon for representing the one or more inferred diseases;
a first identifier for representing a correspondence between the symptom information and/or the examination information and the inferred disease.
In some embodiments, the display module is further configured to:
displaying a third icon and a second identifier in the auxiliary diagnosis map according to a second mapping relation between the pre-stored inferred disease and the examination item;
the third icon is used for representing the checking item;
the second identification is used for representing the corresponding relation between the inferred disease and the examination item.
In some embodiments, the display module is further configured to:
displaying a fourth icon and a third identifier in the auxiliary diagnosis map according to a prestored third mapping relation between the inferred disease and the medicine;
the fourth icon is used for representing the medicine;
the third identification is used for representing the corresponding relation between the inferred disease and the medicine.
In the embodiment of the application, the medical record of the patient is subjected to structural processing, the symptom information and/or the examination information in the medical record of the patient are extracted, and the corresponding target disease is matched according to the symptom information and/or the examination information, so that the doctor can be assisted in judging the disease, the error of disease judgment caused by insufficient experience of the doctor is avoided, and the wrong treatment scheme is prevented from being provided for the patient.
The medical record information processing device in the embodiment of the present application may be a device, or may be a component, an integrated circuit, or a chip in a terminal. The device can be mobile electronic equipment or non-mobile electronic equipment. By way of example, the mobile electronic device may be a mobile phone, a tablet computer, a notebook computer, a palm top computer, a vehicle-mounted electronic device, a wearable device, an ultra-mobile personal computer (UMPC), a netbook or a Personal Digital Assistant (PDA), and the like, and the non-mobile electronic device may be a server, a Network Attached Storage (NAS), a Personal Computer (PC), a Television (TV), a teller machine or a self-service machine, and the like, and the embodiments of the present application are not particularly limited.
The medical record information processing device in the embodiment of the present application may be a device having an operating system. The operating system may be an Android (Android) operating system, an ios operating system, or other possible operating systems, and embodiments of the present application are not limited specifically.
The medical record information processing apparatus provided in the embodiment of the application can implement each process implemented by the method embodiments of fig. 1 to fig. 2, and is not described here again to avoid repetition.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element. Further, it should be noted that the scope of the methods and apparatus of the embodiments of the present application is not limited to performing the functions in the order illustrated or discussed, but may include performing the functions in a substantially simultaneous manner or in a reverse order based on the functions involved, e.g., the methods described may be performed in an order different than that described, and various steps may be added, omitted, or combined. In addition, features described with reference to certain examples may be combined in other examples.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present application.
While the present embodiments have been described with reference to the accompanying drawings, it is to be understood that the invention is not limited to the precise embodiments described above, which are meant to be illustrative and not restrictive, and that various changes may be made therein by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (16)
1. A medical record information processing method is characterized by comprising the following steps:
acquiring a medical record of a target patient, wherein the medical record comprises symptom information and/or examination information;
structuring the medical record to extract the symptom information and/or the examination information;
and matching the corresponding target diseases according to the symptom information and/or the examination information.
2. The method according to claim 1, wherein the structuring the medical record to extract the symptom information and/or the examination information comprises:
and identifying a target field corresponding to the symptom information and/or the examination information from the medical record through a Natural Language Processing (NLP) technology, and extracting the target field.
3. The method according to claim 2, wherein said matching the corresponding target disease according to the symptom information and/or the examination information comprises:
according to a first mapping relation between the prestored symptom information and/or examination information and diseases, matching one or more inferred diseases according to the symptom information and/or the examination information;
determining the target disease from the one or more inferred diseases.
4. The method of claim 3, wherein prior to said determining said target disease from said one or more inferred diseases, said method further comprises:
and displaying the one or more inferred diseases according to the correlation degree sequence according to the correlation degree between the symptom information and/or the examination information and the diseases.
5. The method of claim 4, wherein said determining the target disease from the one or more inferred diseases comprises:
determining an inferred disease of the one or more inferred diseases that is most highly correlated with the symptom information and/or the examination information as the target disease;
or,
receiving a selection operation of a user on any inferred disease of the one or more inferred diseases;
in response to the selecting operation, determining the selected inferred disease as the target disease.
6. The method of claim 3, wherein after said matching one or more inferred diseases, the method further comprises:
displaying an auxiliary diagnostic profile based on the symptom information and/or the examination information, and the one or more inferred diseases;
the auxiliary diagnosis map comprises:
a first icon for representing the symptom information and/or the examination information;
a second icon for representing the one or more inferred diseases;
a first identifier for representing a correspondence between the symptom information and/or the examination information and the inferred disease.
7. The method of claim 6, further comprising:
displaying a third icon and a second identifier in the auxiliary diagnosis map according to a second mapping relation between the pre-stored inferred disease and the examination item;
the third icon is used for representing the checking item;
the second identification is used for representing the corresponding relation between the inferred disease and the examination item.
8. The method of claim 6, further comprising:
displaying a fourth icon and a third identifier in the auxiliary diagnosis map according to a prestored third mapping relation between the inferred disease and the medicine;
the fourth icon is used for representing the medicine;
the third identification is used for representing the corresponding relation between the inferred disease and the medicine.
9. An apparatus for processing medical record information, the apparatus comprising:
the acquisition module is used for acquiring a medical record of a target patient, wherein the medical record comprises symptom information and/or examination information;
the extraction module is used for carrying out structural processing on the medical record and extracting the symptom information and/or the inspection information;
and the matching module is used for matching the corresponding target diseases according to the symptom information and/or the examination information.
10. The apparatus of claim 9, wherein the extraction module is specifically configured to:
and identifying a target field corresponding to the symptom information and/or the examination information from the medical record through a Natural Language Processing (NLP) technology, and extracting the target field.
11. The apparatus of claim 10, wherein the matching module comprises:
the matching unit is used for matching one or more inferred diseases according to the symptom information and/or the examination information according to a first mapping relation between the prestored symptom information and/or examination information and the diseases;
a determination unit for determining the target disease from the one or more inferred diseases.
12. The apparatus of claim 11, wherein the matching module further comprises:
a first display unit for displaying the one or more inferred diseases according to the correlation degree sequence according to the correlation degree between the symptom information and/or the examination information and the diseases.
13. The apparatus of claim 12, wherein the determining unit comprises:
a first determining subunit, configured to determine, as the target disease, an inferred disease of the one or more inferred diseases that is most highly correlated with the symptom information and/or the examination information;
the receiving subunit is used for receiving the selection operation of the user on any inferred disease in the one or more inferred diseases;
a second determining subunit, configured to determine the selected inferred disease as the target disease in response to the selecting operation.
14. The apparatus of claim 11, further comprising:
a display module for displaying an auxiliary diagnostic map based on the symptom information and/or the examination information, and the one or more inferred diseases;
the auxiliary diagnosis map comprises:
a first icon for representing the symptom information and/or the examination information;
a second icon for representing the one or more inferred diseases;
a first identifier for representing a correspondence between the symptom information and/or the examination information and the inferred disease.
15. The apparatus of claim 14, wherein the display module is further configured to:
displaying a third icon and a second identifier in the auxiliary diagnosis map according to a second mapping relation between the pre-stored inferred disease and the examination item;
the third icon is used for representing the checking item;
the second identification is used for representing the corresponding relation between the inferred disease and the examination item.
16. The apparatus of claim 14, wherein the display module is further configured to:
displaying a fourth icon and a third identifier in the auxiliary diagnosis map according to a prestored third mapping relation between the inferred disease and the medicine;
the fourth icon is used for representing the medicine;
the third identification is used for representing the corresponding relation between the inferred disease and the medicine.
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| CN202010836458.6A CN114078572A (en) | 2020-08-19 | 2020-08-19 | Medical record information processing method and device |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114334065A (en) * | 2022-03-07 | 2022-04-12 | 阿里巴巴达摩院(杭州)科技有限公司 | Medical record processing method, computer readable storage medium and computer device |
| CN114913948A (en) * | 2022-03-31 | 2022-08-16 | 联想(北京)有限公司 | Information processing method and device, electronic equipment and readable storage medium |
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2020
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114334065A (en) * | 2022-03-07 | 2022-04-12 | 阿里巴巴达摩院(杭州)科技有限公司 | Medical record processing method, computer readable storage medium and computer device |
| CN114334065B (en) * | 2022-03-07 | 2022-06-28 | 阿里巴巴达摩院(杭州)科技有限公司 | Medical record processing method, computer readable storage medium and computer device |
| CN114913948A (en) * | 2022-03-31 | 2022-08-16 | 联想(北京)有限公司 | Information processing method and device, electronic equipment and readable storage medium |
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