CN112635070A - Patient clinical information acquisition and display method and device - Google Patents

Patient clinical information acquisition and display method and device Download PDF

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Publication number
CN112635070A
CN112635070A CN202011468100.9A CN202011468100A CN112635070A CN 112635070 A CN112635070 A CN 112635070A CN 202011468100 A CN202011468100 A CN 202011468100A CN 112635070 A CN112635070 A CN 112635070A
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medical record
attribute information
data
target
patient
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葛航
王鑫鑫
杨丽娜
周海晓
王东昊
丁鑫
叶志前
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Pioneering Huikang Technology Co ltd
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Pioneering Huikang Technology Co ltd
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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records

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  • Health & Medical Sciences (AREA)
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  • Data Mining & Analysis (AREA)
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  • General Health & Medical Sciences (AREA)
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Abstract

The application provides a method and a device for acquiring and displaying clinical information of a patient. The method comprises the following steps: when a target disease category of a patient needs to be analyzed, acquiring a medical record data set of the patient according to a preset medical record acquisition dimension; according to a preset data cleaning rule, performing data cleaning on the medical record data set to generate a target medical record data set; performing data analysis on the target medical record data set according to the target disease species based on a decision tree data mining algorithm, and determining medical record attribute information corresponding to the patient and associated with the target disease species; displaying the medical record attribute information according to a preset medical record display mode; wherein, the medical record display mode includes: any one of a multi-level structured medical record display mode, a structured PPT display mode and a panoramic display mode. The method and the device can reduce time consumption for preparing patient data, and improve diagnosis efficiency of doctors and accuracy of diagnosis results.

Description

Patient clinical information acquisition and display method and device
Technical Field
The application relates to the technical field of medicine, in particular to a method and a device for acquiring and displaying clinical information of a patient.
Background
At present, when a hospital carries out internal medical record teaching, in-hospital consultation, remote consultation and other scenes, simple PPT (Microsoft Office PowerPoint) or simple pictures and simple summary description are used for communication, and when patient data is prepared, all data of a patient cannot be displayed, the whole situation of the patient cannot be known, the comprehensiveness of learning is not facilitated, particularly, data display without diagnosis level cannot be achieved, and very accurate diagnosis cannot be given.
Disclosure of Invention
The application provides a patient clinical information acquisition and display method and device, which are used for solving the problems that in the prior art, the preparation of patient treatment is time-consuming, the patient data display mode is not beneficial to understanding the overall condition of patients, the comprehensiveness of learning is not facilitated, and the very accurate diagnosis cannot be given.
In order to solve the above problem, an embodiment of the present application provides a method for acquiring and displaying patient clinical information, including:
when a target disease category of a patient needs to be analyzed, acquiring a medical record data set of the patient according to a preset medical record acquisition dimension;
according to a preset data cleaning rule, performing data cleaning on the medical record data set to generate a target medical record data set;
performing data analysis on the target medical record data set according to the target disease species based on a decision tree data mining algorithm, and determining medical record attribute information corresponding to the patient and associated with the target disease species;
displaying the medical record attribute information according to a preset medical record display mode;
wherein, the medical record display mode includes: any one of a multi-level structured medical record display mode, a structured PPT display mode and a panoramic display mode.
Optionally, the performing data cleaning on the medical record data set according to a preconfigured data cleaning rule to generate a target medical record data set includes:
and clearing medical record data irrelevant to the target disease type in the medical record data set and wrong medical record data in the medical record data set according to the data cleaning rule to generate the target medical record data set.
Optionally, when the medical record display mode is the multi-level structured medical record display mode, the displaying the medical record attribute information according to a preconfigured medical record display mode includes:
according to a set display rule, orderly, hierarchically and categorically sorting the medical record attribute information to generate sorted medical record attribute information;
displaying the attribute information of the sorted medical records according to time factors or category factors;
the displayed sorted medical record attribute information supports the inquiry of medical record information of time conditions.
Optionally, when the medical record display mode is the structured PPT display mode, the displaying the medical record attribute information according to a preconfigured medical record display mode includes:
determining a target configuration template corresponding to the target disease species according to the mapping relation between the target disease species and the configuration template similar to the PPT;
filling the medical record attribute information into the target configuration template, and generating and displaying the medical record attribute information of the structured PPT;
the displayed structured PTT-like medical record attribute information supports the modification of medical record content and display background.
Optionally, when the medical record display mode is the panoramic display mode, the displaying the medical record attribute information according to a preconfigured medical record display mode includes:
displaying the medical record attribute information in an all-around manner from a plurality of data dimensions by adopting at least one dynamic display screen;
wherein the dynamic display screen comprises: at least one of a consultation detail display screen, a medical image display screen, a medical pathology display screen, a telemedicine display screen, an audio and video display screen and an ultrasonic electrocardio display screen;
and a patient image interface, a pathological data interface and a video call interface are displayed on the dynamic display screen.
In order to solve the above technical problem, an embodiment of the present application further provides a patient clinical information collecting and displaying device, including:
the medical record data acquisition module is used for acquiring a medical record data set of a patient according to a preset medical record acquisition dimension when the target disease species of the patient needs to be analyzed;
the target data set generation module is used for carrying out data cleaning on the medical record data set according to a preset data cleaning rule to generate a target medical record data set;
a medical record attribute information determination module, configured to perform data analysis on the target medical record data set according to the target disease category based on a decision tree data mining algorithm, and determine medical record attribute information corresponding to the patient and associated with the target disease category;
the medical record attribute information display module is used for displaying the medical record attribute information according to a preset medical record display mode;
wherein, the medical record display mode includes: any one of a multi-level structured medical record display mode, a structured PPT display mode and a panoramic display mode.
Optionally, the target data set generating module includes:
and the target medical record data set generating unit is used for clearing medical record data irrelevant to the target disease type in the medical record data set and wrong medical record data in the medical record data set according to the data cleaning rule to generate the target medical record data set.
Optionally, when the medical record display mode is the multi-level structured medical record display mode, the medical record attribute information display module includes:
the arrangement attribute information generation unit is used for orderly arranging the medical record attribute information in a hierarchical manner and in a classification manner according to a set display rule to generate arrangement medical record attribute information;
the first medical record attribute display unit is used for displaying the sorted medical record attribute information according to time factors or category factors;
the displayed sorted medical record attribute information supports the inquiry of medical record information of time conditions.
Optionally, when the medical record display mode is the structured PPT display mode, the medical record attribute information display module includes:
the target configuration template determining unit is used for determining a target configuration template corresponding to the target disease species according to the mapping relation between the target disease species and the configuration template similar to the PPT;
the second medical record attribute display unit is used for filling the medical record attribute information into the target configuration template, and generating and displaying medical record attribute information of the structured PPT;
the displayed structured PTT-like medical record attribute information supports the modification of medical record content and display background.
Optionally, when the medical record display mode is the panoramic display mode, the medical record attribute information display module includes:
the third medical record attribute display unit is used for displaying the medical record attribute information in an all-around manner from a plurality of data dimensions by adopting at least one dynamic display screen;
wherein the dynamic display screen comprises: at least one of a consultation detail display screen, a medical image display screen, a medical pathology display screen, a telemedicine display screen, an audio and video display screen and an ultrasonic electrocardio display screen;
and a patient image interface, a pathological data interface and a video call interface are displayed on the dynamic display screen.
Compared with the prior art, the method has the following advantages:
the embodiment of the application provides a method and a device for acquiring and displaying clinical information of a patient, when the target disease category of the patient needs to be analyzed, according to a preconfigured medical record acquisition dimension, a medical record data set of the patient is acquired, according to a preconfigured data cleaning rule, data cleaning is performed on the medical record data set, a target medical record data set is generated, data analysis is performed on the target medical record data set according to the target disease category based on a decision tree data mining algorithm, medical record attribute information associated with the target disease category corresponding to the patient is determined, and the medical record attribute information is displayed according to a preconfigured medical record display mode, wherein the medical record display mode comprises the following steps: any one of a multi-level structured medical record display mode, a structured PPT display mode and a panoramic display mode. The embodiment of the application acquires patient's case history data through automatic acquisition's mode, can reduce the consuming time of preparing the case history data, and, three kinds of show modes that provide, can satisfy the different scene scholars district of consultation, when having realized doctor and doctor video exchange, still provided most comprehensively, the structured case history of diagnosis level, data do not circulate between hospital and the hospital has been solved, the unmatched problem of data structure, simultaneously because the integrality of case history and the variety of show mode, can promote doctor's diagnostic efficiency and the accuracy of diagnosis result greatly.
Drawings
FIG. 1 is a flowchart illustrating steps of a method for collecting and displaying clinical information of a patient according to an embodiment of the present disclosure;
FIG. 2 is a flow chart illustrating steps of another method for collecting and presenting clinical information of a patient according to an embodiment of the present application;
FIG. 3 is a schematic diagram of a patient clinical information collection and display process provided by an embodiment of the present application;
FIG. 4 is a schematic structural diagram of a patient clinical information collecting and displaying device according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of another patient clinical information collecting and displaying device 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, and it should be apparent 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.
Example one
Referring to fig. 1, a flowchart illustrating steps of a method for acquiring and displaying clinical information of a patient according to an embodiment of the present application is shown, and as shown in fig. 1, the method for acquiring and displaying clinical information of a patient may specifically include the following steps:
step 101: when the target disease category of a patient needs to be analyzed, acquiring a medical record data set of the patient according to a preset medical record acquisition dimension.
In the embodiment of the present application, the target disease category refers to a disease category that needs to be subjected to medical record analysis, that is, a category of a disease to be analyzed, such as lung cancer, liver cancer, soft-nest cancer, pancreatic cancer, and the like, specifically, a specific category of the target disease category may be determined according to a business requirement, which is not limited in this embodiment.
In this example, the target disease type may be one disease type, may also be a plurality of disease types, and the like, and specifically, the number of the target disease types may be set according to business requirements, which is not limited in this embodiment of the present application.
The medical record collection dimension refers to a dimension preset by a service staff (such as medical staff) and used for collecting medical record data of a patient, in this example, a patient basic information dimension (such as age and sex of the patient), a patient preference dimension (such as diet and living habits of the patient), a patient historical disease dimension (such as disease history and family disease history of the patient), a duration dimension of the patient with a target disease (such as duration of the patient with the target disease, for example, 3 years or 4 years) and the like.
The medical record data set is a data set formed by medical record data which is acquired according to a preset medical record acquisition dimension and is related to a patient.
When the target disease category of the patient needs to be analyzed, the medical record data of the patient can be acquired according to the preconfigured medical record acquisition dimension, so that the medical record data set of the patient can be obtained.
After acquiring the medical record data set of the patient according to the preconfigured medical record acquisition dimensions, step 102 is performed.
Step 102: and according to a preset data cleaning rule, performing data cleaning on the medical record data set to generate a target medical record data set.
The data cleaning rule refers to a rule preset by a service person for cleaning medical record data, for example, a filtering algorithm is used for filtering useless data in the medical record data set, such as filtering medical record data irrelevant to a target disease type, for example, when the target disease type is lung cancer, medical record data irrelevant to lung cancer, such as hepatitis medical record data, can be cleaned.
The target medical record dataset is a medical record dataset composed of the remaining medical record data after cleaning the data in the medical record dataset, and for example, the medical record data included in the acquired medical record dataset of the patient includes: the method comprises the steps that medical record data 1, medical record data 2, medical record data 3, medical record data 4, medical record data 5, medical record data 6 and medical record data 7 are cleaned, the cleaned medical record data are the medical record data 1, the medical record data 3 and the medical record data 7, at the moment, the rest of the medical record data are the medical record data 2, the medical record data 4, the medical record data 5 and the medical record data 6, and at the moment, a target medical record data set can be formed by the medical record data 2, the medical record data 4, the medical record data 5 and the medical record data 6.
It should be understood that the above examples are only examples for better understanding of the technical solutions of the embodiments of the present application, and are not to be taken as the only limitation to the embodiments.
After the medical record data set of the patient is acquired according to the preconfigured medical record acquisition dimension, the medical record data set can be subjected to data cleaning according to the preconfigured data cleaning rule, so that a target medical record data set can be obtained.
After the medical record data set is data-cleaned according to the pre-configured data cleaning rule to generate the target medical record data set, step 103 is executed.
Step 103: and performing data analysis on the target medical record data set according to the target disease species based on a decision tree data mining algorithm, and determining medical record attribute information corresponding to the patient and associated with the target disease species.
Decision Tree (Decision Tree) is a graphical method for evaluating the risk of a project and judging the feasibility of the project by constructing a Decision Tree to obtain the probability that the expected value of the net present value is greater than or equal to zero on the basis of the known occurrence probability of various conditions, and is a graphical method for intuitively using probability analysis.
After the target medical record data set is obtained, the target medical record data set can be subjected to data mining according to the target medical record type based on a decision tree data mining algorithm to determine medical record attribute information corresponding to the target medical record type, for example, the data mining analysis is performed on the data in the target medical record data set by adopting the decision tree data mining algorithm, characteristics such as age, sex and working condition of a patient are analyzed by the decision tree algorithm, and some attributes (such as disease attribute, disease age limit and pulmonary nodule and the incidence relation between the target medical record and sex, such as high female disease probability) related to the data mining target (namely the target medical record type) are selected to be modeled, such as clinical stage, disease type classification and treatment method of the patient disease, so as to provide reference for a doctor.
After determining the medical record attribute information associated with the target patient type corresponding to the patient, step 104 is performed.
Step 104: and displaying the medical record attribute information according to a preset medical record display mode.
The medical record display mode refers to a mode for displaying medical record attribute information, and in this embodiment, the medical record display mode includes: any one of a multi-level structured medical record display mode, a structured PPT display mode, a panoramic display mode and the like.
The multi-level structured medical record display mode is a mode of displaying attribute information of the medical record in an ordered, layered and graded manner.
The structural PPT display mode is similar to a PPT display mode, a display configuration template needs to be preset in the display mode, corresponding configuration templates are set for different disease types, the system can generate the structural PPT-like information display mode according to the configuration templates, then the structural medical record is displayed in a PPT-like mode, and display dimensions and information are screened according to configuration layer rules. In addition, pages with related images, pathology or attachment files are automatically matched and associated with the files, and the pages can be skipped to look up by clicking.
The panoramic display mode is a large-screen dynamic display mode, the display mode not only supports multi-dimensional information display, but also comprises images, pathology and other related information, patient data are displayed in all directions from all data dimensions, functions such as time axes and information labels are provided, and the related data can be quickly located and looked up. The multi-screen display mode is supported, and a patient medical record data interface, a patient image and pathology data interface and a video call interface can be displayed at the same time, so that the user can experience the immersion type.
This application embodiment is through adopting above-mentioned three kinds of show modes, can satisfy the different scene study districts of consultation, when having realized doctor and doctor video exchange, still provides the most comprehensive, diagnosis level's structural case history, has solved between hospital and the hospital data and has not circulated, the unmatched problem of data structure, simultaneously because the integrality of case history and the variety of show mode, can promote doctor's diagnostic efficiency and diagnostic result's accuracy greatly.
The patient clinical information acquisition and display method provided by the embodiment of the application, when the target disease category of a patient needs to be analyzed, according to a preconfigured medical record acquisition dimension, a medical record data set of the patient is acquired, according to a preconfigured data cleaning rule, data cleaning is performed on the medical record data set, a target medical record data set is generated, data analysis is performed on the target medical record data set according to the target disease category based on a decision tree data mining algorithm, medical record attribute information associated with the target disease category corresponding to the patient is determined, and medical record attribute information is displayed according to a preconfigured medical record display mode, wherein the medical record display mode comprises the following steps: any one of a multi-level structured medical record display mode, a structured PPT display mode and a panoramic display mode. The embodiment of the application acquires patient's case history data through automatic acquisition's mode, can reduce the consuming time of preparing the case history data, and, three kinds of show modes that provide, can satisfy the different scene scholars district of consultation, when having realized doctor and doctor video exchange, still provided most comprehensively, the structured case history of diagnosis level, data do not circulate between hospital and the hospital has been solved, the unmatched problem of data structure, simultaneously because the integrality of case history and the variety of show mode, can promote doctor's diagnostic efficiency and the accuracy of diagnosis result greatly.
Example two
Referring to fig. 2, a flowchart illustrating steps of another method for acquiring and presenting clinical information of a patient according to an embodiment of the present application is shown, and as shown in fig. 2, the method for acquiring and presenting clinical information of a patient may specifically include the following steps:
step 201: when the target disease category of a patient needs to be analyzed, acquiring a medical record data set of the patient according to a preset medical record acquisition dimension.
In the embodiment of the application, firstly, an implementer sets a configuration management layer as required, and configures a data set, a data set dimension, a data display dimension, a data mining analysis attribute and the like required by a user. The system then extracts the desired data set from the hospital system according to the configuration rules and performs preprocessing operations on the data, including removing unwanted data, erroneous data, etc., into a qualified structured data. The system acquires attribute values of the age, menstruation condition, tumor part, tumor stage, lymph node metastasis condition and the like of the patient according to the requirements of a configuration layer, analyzes the relation between the age of the diagnosed patient and the tumor part, lymph node metastasis condition and the like through a decision tree algorithm, and displays the structured data and the analysis result to the front end.
Firstly, when an application is created by an applying doctor, a structured medical record of a patient is obtained through key values such as a medical record number, an identification card number and the like, the medical record of the patient is displayed hierarchically according to category attributes, the medical record is displayed horizontally according to dimensions such as medical record information, inspection information, pathological information, image information, ultrasonic examination and treatment records, the medical record is sorted longitudinally according to time reverse order, and each horizontal large category is divided into subclasses, for example, the medical record information comprises outpatient service records, admission records, discharge records, medical advice records, current medical history, past history, family history and the like. The medical record interface also provides a data analysis page jump link, and related conditions of the renamed patient according to age, sex, focus images and the like can be displayed by clicking, so that auxiliary diagnosis data can be provided for doctors.
The target disease type is a disease type that needs to be subjected to medical record analysis, that is, the type of a disease to be analyzed, such as pneumonia, lung cancer, liver cancer, heart disease, and the like, and specifically, the specific type of the target disease type may be determined according to a business requirement, which is not limited in this embodiment.
In this example, the target disease type may be one disease type, may also be a plurality of disease types, and the like, and specifically, the number of the target disease types may be set according to business requirements, which is not limited in this embodiment of the present application.
The medical record collection dimension refers to a dimension preset by a service staff (such as medical staff) and used for collecting medical record data of a patient, in this example, a patient basic information dimension (such as age and sex of the patient), a patient preference dimension (such as diet and living habits of the patient), a patient historical disease dimension (such as disease history and family disease history of the patient), a duration dimension of the patient with a target disease (such as duration of the patient with the target disease, for example, 3 years or 4 years) and the like.
The medical record data set is a data set formed by medical record data which is acquired according to a preset medical record acquisition dimension and is related to a patient.
When the target disease category of the patient needs to be analyzed, the medical record data of the patient can be acquired according to the preconfigured medical record acquisition dimension, so that the medical record data set of the patient can be obtained. For example, as shown in fig. 3, in the present embodiment, a data collection configuration management module may be preset, where the module configures how to clean the patient profile data, and filter the profile attributes and dimensions in the data presentation module. The data collection layer may collect patient-related data, including basic information, examination, test data, etc., from hospital systems, such as HIS, LIS, PACS, etc., of the hospital.
After acquiring the medical record data set of the patient according to the preconfigured medical record acquisition dimensions, step 202 is performed.
Step 202: and clearing medical record data irrelevant to the target disease type in the medical record data set and wrong medical record data in the medical record data set according to the data cleaning rule to generate the target medical record data set.
The data cleaning rule refers to a rule preset by a service person for cleaning medical record data, for example, a filtering algorithm is used for filtering useless data in the medical record data set, such as filtering medical record data irrelevant to a target disease type, for example, when the target disease type is lung cancer, medical record data irrelevant to lung cancer, such as hepatitis medical record data, can be cleaned.
The target medical record dataset is a medical record dataset composed of the remaining medical record data after cleaning the data in the medical record dataset, and for example, the medical record data included in the acquired medical record dataset of the patient includes: the method comprises the steps that medical record data 1, medical record data 2, medical record data 3, medical record data 4, medical record data 5, medical record data 6 and medical record data 7 are cleaned, the cleaned medical record data are the medical record data 1, the medical record data 3 and the medical record data 7, at the moment, the rest of the medical record data are the medical record data 2, the medical record data 4, the medical record data 5 and the medical record data 6, and at the moment, a target medical record data set can be formed by the medical record data 2, the medical record data 4, the medical record data 5 and the medical record data 6.
It should be understood that the above examples are only examples for better understanding of the technical solutions of the embodiments of the present application, and are not to be taken as the only limitation to the embodiments.
After the medical record data set of the patient is acquired according to the preconfigured medical record acquisition dimension, the medical record data set can be subjected to data cleaning according to the preconfigured data cleaning rule so as to remove medical record data irrelevant to the target disease type in the medical record data set, wrong medical record data in the medical record data set and the like, so that the target medical record data set can be obtained, and as shown in fig. 3, after the data is acquired, the data cleaning layer can clean the data and filter out useless data. And then filtering useless information through a filtering algorithm according to rules needing to be displayed in the business scene configured by the academies, and outputting the useless information as structured information.
After the medical record data set is data-cleaned according to the pre-configured data cleaning rule to generate the target medical record data set, step 203 is executed.
Step 203: and performing data analysis on the target medical record data set according to the target disease species based on a decision tree data mining algorithm, and determining medical record attribute information corresponding to the patient and associated with the target disease species.
Decision Tree (Decision Tree) is a graphical method for evaluating the risk of a project and judging the feasibility of the project by constructing a Decision Tree to obtain the probability that the expected value of the net present value is greater than or equal to zero on the basis of the known occurrence probability of various conditions, and is a graphical method for intuitively using probability analysis.
After the target medical record data set is obtained, the target medical record data set can be subjected to data mining according to the target medical record type based on a decision tree data mining algorithm to determine medical record attribute information corresponding to the target medical record type, for example, the data mining analysis is performed on the data in the target medical record data set by adopting the decision tree data mining algorithm, characteristics such as age, sex and working condition of a patient are analyzed by the decision tree algorithm, and some attributes (such as disease attribute, disease age limit and pulmonary nodule and the incidence relation between the target medical record and sex, such as high female disease probability) related to the data mining target (namely the target medical record type) are selected to be modeled, such as clinical stage, disease type classification and treatment method of the patient disease, so as to provide reference for a doctor.
In this embodiment, the decision tree data mining algorithm may be a C4.5 algorithm, and compared to another commonly used decision tree algorithm ID3, the C4.5 algorithm selects attributes by using an information gain ratio, which solves the problem of avoiding multi-degree fitting of numbers by using different pruning techniques when the attribute values are null.
The acquired medical record attribute information can be displayed according to a preset medical record display mode, and as shown in fig. 3, the medical record attribute information is displayed according to three preset medical record display modes, and the like.
After determining the medical record attribute information associated with the target patient type corresponding to the patient, step 204 is performed, or step 206 is performed, or step 208 is performed.
Step 204: and according to a set display rule, orderly, hierarchically and categorically sorting the medical record attribute information to generate sorted medical record attribute information.
In this embodiment, when the medical record display mode is a multi-level structured medical record display mode, the attribute information of the medical record may be sorted orderly, hierarchically, and classified according to a set display rule to generate sorted medical record attribute information, specifically, the display mode is established on the basis of a structured medical record, and data is automatically sorted, hierarchically, and sorted orderly, so that sorted medical record attribute information may be obtained, for example, the divided hierarchy is the sequence of the user basic attribute information, the user habit attribute information, the historical disease attribute information, and the disease characteristic attribute, and the divided category may be a basic attribute class, a dietary habit class, a diseased history class, a diseased characteristic class, and the like.
It should be understood that the above examples are only examples for better understanding of the technical solutions of the embodiments of the present application, and are not to be taken as the only limitation to the embodiments.
After the medical record attribute information is sorted in order, in a hierarchical manner, and in a classified manner according to the set display rule to generate sorted medical record attribute information, step 205 is executed.
Step 205: and displaying the attribute information of the sorted medical records according to time factors or category factors.
After the sorted medical record attribute information is generated, the sorted medical record attribute information can be displayed according to a time factor or a category factor.
In this example, the multi-level structured medical record display manner automatically arranges the disordered patient data into the orderly, hierarchical and classified patient medical record information according to the set display rules, and logically displays the information according to the category, time and other factors. The display mode is established on the basis of a structured medical record, automatically classifies data, displays the data in a hierarchical mode according to category attributes, and supports time axis query. The data can be displayed longitudinally according to time and transversely aiming at categories, and screening display of two dimensions is supported.
Step 206: and determining a target configuration template corresponding to the target disease species according to the mapping relation between the target disease species and the configuration template of the PPT-like.
In this example, the case history presentation mode is a structured PPT presentation mode, and different patient-type corresponding configuration templates are pre-configured, for example, the patient types include pneumonia, liver cancer, and heart disease, the configuration template pre-set for pneumonia is the configuration template 1, the configuration template pre-set for liver cancer is the configuration template 2, and the configuration template pre-set for heart disease is the configuration template 3.
In this example, the mapping relationship between the disease type and the configuration template of the PPT-like structure may be stored in a database in advance, or a mapping list may be preset for storage, specifically, the storage manner of the mapping relationship may be determined according to the business requirement, which is not limited in this embodiment.
The target configuration template is a configuration template corresponding to the target disease species.
After the target disease category is determined, a target configuration template corresponding to the target disease category may be determined according to the mapping relationship between the target disease category and the configuration template of the PPT-like category, and then step 207 is executed.
Step 207: and filling the medical record attribute information into the target configuration template, and generating and displaying the medical record attribute information of the structured PPT.
After the target configuration template is determined, the acquired medical record attribute information can be filled into the target configuration template to generate and display medical record attribute information of the structured PPT.
In the example, the system generates the structured PPT-like information display mode according to the acquired patient information and a configuration template made in advance, automatically matches and associates pages with related images, pathology or attachment files with the files, and can jump to be referred by clicking.
Step 208: and displaying the medical record attribute information in all directions from a plurality of data dimensions by adopting at least one dynamic display screen.
In this example, the dynamic display screen may include: at least one of a consultation detail display screen, a medical image display screen, a medical pathology display screen, a telemedicine display screen, an audio and video display screen and an ultrasonic electrocardio display screen;
the dynamic display screen is provided with a patient image interface, a pathological data interface and a video call interface.
In this embodiment, when the medical record display mode is the panoramic display mode, at least one dynamic screen can be adopted to display the medical record attribute information in all directions from multiple data dimensions. Specifically, after the consultation is started, the consultation secretary can open a large-screen dynamic panel to display the panoramic medical record data of the patient in the consultation center. The multi-dimensional information display is supported, the multi-dimensional information display also comprises related information such as images and pathology, patient data are displayed in all directions from all data dimensions, functions such as a time axis and information labels are provided, and the related data can be conveniently and quickly located and consulted. The multi-screen display mode is supported, and a patient medical record data interface, a patient image and pathology data interface and a video call interface can be displayed at the same time, so that the user can experience the immersion type.
The patient clinical information acquisition and display method provided by the embodiment of the application, when the target disease category of a patient needs to be analyzed, according to a preconfigured medical record acquisition dimension, a medical record data set of the patient is acquired, according to a preconfigured data cleaning rule, data cleaning is performed on the medical record data set, a target medical record data set is generated, data analysis is performed on the target medical record data set according to the target disease category based on a decision tree data mining algorithm, medical record attribute information associated with the target disease category corresponding to the patient is determined, and medical record attribute information is displayed according to a preconfigured medical record display mode, wherein the medical record display mode comprises the following steps: any one of a multi-level structured medical record display mode, a structured PPT display mode and a panoramic display mode. The embodiment of the application acquires patient's case history data through automatic acquisition's mode, can reduce the consuming time of preparing the case history data, and, three kinds of show modes that provide, can satisfy the different scene scholars district of consultation, when having realized doctor and doctor video exchange, still provided most comprehensively, the structured case history of diagnosis level, data do not circulate between hospital and the hospital has been solved, the unmatched problem of data structure, simultaneously because the integrality of case history and the variety of show mode, can promote doctor's diagnostic efficiency and the accuracy of diagnosis result greatly.
EXAMPLE III
Referring to fig. 4, a schematic structural diagram of a patient clinical information collecting and displaying apparatus provided in the embodiment of the present application is shown, and as shown in fig. 4, the patient clinical information collecting and displaying apparatus 300 may specifically include the following modules:
a medical record data set acquisition module 310, configured to acquire a medical record data set of a patient according to a preconfigured medical record acquisition dimension when a target patient type of the patient needs to be analyzed;
the target data set generating module 320 is configured to perform data cleaning on the medical record data set according to a preconfigured data cleaning rule, and generate a target medical record data set;
a medical record attribute information determining module 330, configured to perform data analysis on the target medical record data set according to the target disease category based on a decision tree data mining algorithm, and determine medical record attribute information corresponding to the patient and associated with the target disease category;
the medical record attribute information display module 340 is configured to display the medical record attribute information according to a preconfigured medical record display mode;
wherein, the medical record display mode includes: any one of a multi-level structured medical record display mode, a structured PPT display mode and a panoramic display mode.
The patient clinical information gathers and display device that this application embodiment provided, through when needing to carry out the analysis to patient's target disease kind, gather patient's case history data set according to the case history collection dimension of pre-configuration, according to the data cleaning rule of pre-configuration, carry out data cleaning to the case history data set, generate target case history data set, carry out data analysis to target case history data set according to target disease kind based on decision-making tree data mining algorithm, confirm the case history attribute information that the patient corresponds and target disease kind is relevant, according to the case history show mode of pre-configuration, show case history attribute information, wherein, the case history show mode includes: any one of a multi-level structured medical record display mode, a structured PPT display mode and a panoramic display mode. The embodiment of the application acquires patient's case history data through automatic acquisition's mode, can reduce the consuming time of preparing the case history data, and, three kinds of show modes that provide, can satisfy the different scene scholars district of consultation, when having realized doctor and doctor video exchange, still provided most comprehensively, the structured case history of diagnosis level, data do not circulate between hospital and the hospital has been solved, the unmatched problem of data structure, simultaneously because the integrality of case history and the variety of show mode, can promote doctor's diagnostic efficiency and the accuracy of diagnosis result greatly.
Example four
Referring to fig. 5, a schematic structural diagram of another patient clinical information collecting and presenting device provided in the embodiment of the present application is shown, and as shown in fig. 5, the patient clinical information collecting and presenting device 400 may specifically include the following modules:
a medical record data set acquisition module 410, configured to acquire a medical record data set of a patient according to a preconfigured medical record acquisition dimension when a target patient type of the patient needs to be analyzed;
a target data set generating module 420, configured to perform data cleaning on the medical record data set according to a preconfigured data cleaning rule, and generate a target medical record data set;
a medical record attribute information determining module 430, configured to perform data analysis on the target medical record data set according to the target disease category based on a decision tree data mining algorithm, and determine medical record attribute information corresponding to the patient and associated with the target disease category;
the medical record attribute information display module 440 is configured to display the medical record attribute information according to a preconfigured medical record display mode;
wherein, the medical record display mode includes: any one of a multi-level structured medical record display mode, a structured PPT display mode and a panoramic display mode.
Optionally, the target data set generating module 420 includes:
a target data set generating unit 421, configured to clear, according to the data cleaning rule, medical record data that is irrelevant to the target disease category in the medical record data set and incorrect medical record data in the medical record data set, and generate the target medical record data set.
Optionally, when the medical record display mode is the multi-level structured medical record display mode, the medical record attribute information display module 440 includes:
the arrangement attribute information generation unit 441 is configured to perform arrangement processing on the medical record attribute information in an orderly manner, in a hierarchical manner and in a classified manner according to a set display rule, and generate arrangement medical record attribute information;
a first medical record attribute display unit 442, configured to display the sorted medical record attribute information according to a time factor or a category factor;
the displayed sorted medical record attribute information supports the inquiry of medical record information of time conditions.
Optionally, when the medical record display manner is the structured PPT display manner, the medical record attribute information display module 440 includes:
a target configuration template determining unit 443, configured to determine a target configuration template corresponding to the target disease category according to a mapping relationship between the target disease category and a configuration template of the PPT-like category;
a second medical record attribute display unit 444, configured to fill the medical record attribute information into the target configuration template, and generate and display medical record attribute information of a structured PPT;
the displayed structured PTT-like medical record attribute information supports the modification of medical record content and display background.
Optionally, when the medical record display mode is the panoramic display mode, the medical record attribute information display module 440 includes:
the third medical record attribute display unit 445 is configured to display the medical record attribute information in an all-around manner from multiple data dimensions by using at least one dynamic display screen;
wherein the dynamic display screen comprises: at least one of a consultation detail display screen, a medical image display screen, a medical pathology display screen, a telemedicine display screen, an audio and video display screen and an ultrasonic electrocardio display screen;
and a patient image interface, a pathological data interface and a video call interface are displayed on the dynamic display screen.
The patient clinical information gathers and display device that this application embodiment provided, through when needing to carry out the analysis to patient's target disease kind, gather patient's case history data set according to the case history collection dimension of pre-configuration, according to the data cleaning rule of pre-configuration, carry out data cleaning to the case history data set, generate target case history data set, carry out data analysis to target case history data set according to target disease kind based on decision-making tree data mining algorithm, confirm the case history attribute information that the patient corresponds and target disease kind is relevant, according to the case history show mode of pre-configuration, show case history attribute information, wherein, the case history show mode includes: any one of a multi-level structured medical record display mode, a structured PPT display mode and a panoramic display mode. The embodiment of the application acquires patient's case history data through automatic acquisition's mode, can reduce the consuming time of preparing the case history data, and, three kinds of show modes that provide, can satisfy the different scene scholars district of consultation, when having realized doctor and doctor video exchange, still provided most comprehensively, the structured case history of diagnosis level, data do not circulate between hospital and the hospital has been solved, the unmatched problem of data structure, simultaneously because the integrality of case history and the variety of show mode, can promote doctor's diagnostic efficiency and the accuracy of diagnosis result greatly.
While, for purposes of simplicity of explanation, the foregoing method embodiments have been described as a series of acts or combination of acts, it will be appreciated by those skilled in the art that the present application is not limited by the order of acts or acts described, as some steps may occur in other orders or concurrently with other steps in accordance with the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
Additionally, an embodiment of the present application further provides an electronic device, including: the system comprises a processor, a memory and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the patient clinical information acquisition and display method.
The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, 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.
The patient clinical information acquisition and display method and the patient clinical information acquisition and display device provided by the application are introduced in detail, specific examples are applied in the text to explain the principle and the implementation mode of the application, and the description of the above embodiments is only used for helping to understand the method and the core idea of the application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims (10)

1. A method for acquiring and displaying clinical information of a patient is characterized by comprising the following steps:
when a target disease category of a patient needs to be analyzed, acquiring a medical record data set of the patient according to a preset medical record acquisition dimension;
according to a preset data cleaning rule, performing data cleaning on the medical record data set to generate a target medical record data set;
performing data analysis on the target medical record data set according to the target disease species based on a decision tree data mining algorithm, and determining medical record attribute information corresponding to the patient and associated with the target disease species;
displaying the medical record attribute information according to a preset medical record display mode;
wherein, the medical record display mode includes: any one of a multi-level structured medical record display mode, a structured PPT display mode and a panoramic display mode.
2. The method of claim 1, wherein the performing data cleansing on the medical record data set according to a preconfigured data cleansing rule to generate a target medical record data set comprises:
and clearing medical record data irrelevant to the target disease type in the medical record data set and wrong medical record data in the medical record data set according to the data cleaning rule to generate the target medical record data set.
3. The method of claim 1, wherein when the medical record presentation manner is the multi-level structured medical record presentation manner, the presenting the medical record attribute information according to a preconfigured medical record presentation manner comprises:
according to a set display rule, orderly, hierarchically and categorically sorting the medical record attribute information to generate sorted medical record attribute information;
displaying the attribute information of the sorted medical records according to time factors or category factors;
the displayed sorted medical record attribute information supports the inquiry of medical record information of time conditions.
4. The method according to claim 1, wherein when the medical record presentation manner is the structured PPT-like presentation manner, the presenting the medical record attribute information according to a preconfigured medical record presentation manner includes:
determining a target configuration template corresponding to the target disease species according to the mapping relation between the target disease species and the configuration template similar to the PPT;
filling the medical record attribute information into the target configuration template, and generating and displaying the medical record attribute information of the structured PPT;
the displayed structured PTT-like medical record attribute information supports the modification of medical record content and display background.
5. The method according to claim 1, wherein when the medical record presentation manner is the panoramic presentation manner, the presenting the medical record attribute information according to a preconfigured medical record presentation manner includes:
displaying the medical record attribute information in an all-around manner from a plurality of data dimensions by adopting at least one dynamic display screen;
wherein the dynamic display screen comprises: at least one of a consultation detail display screen, a medical image display screen, a medical pathology display screen, a telemedicine display screen, an audio and video display screen and an ultrasonic electrocardio display screen;
and a patient image interface, a pathological data interface and a video call interface are displayed on the dynamic display screen.
6. A patient clinical information acquisition and display device, comprising:
the medical record data acquisition module is used for acquiring a medical record data set of a patient according to a preset medical record acquisition dimension when the target disease species of the patient needs to be analyzed;
the target data set generation module is used for carrying out data cleaning on the medical record data set according to a preset data cleaning rule to generate a target medical record data set;
a medical record attribute information determination module, configured to perform data analysis on the target medical record data set according to the target disease category based on a decision tree data mining algorithm, and determine medical record attribute information corresponding to the patient and associated with the target disease category;
the medical record attribute information display module is used for displaying the medical record attribute information according to a preset medical record display mode;
wherein, the medical record display mode includes: any one of a multi-level structured medical record display mode, a structured PPT display mode and a panoramic display mode.
7. The apparatus of claim 6, wherein the target data set generation module comprises:
and the target medical record data set generating unit is used for clearing medical record data irrelevant to the target disease type in the medical record data set and wrong medical record data in the medical record data set according to the data cleaning rule to generate the target medical record data set.
8. The apparatus of claim 6, wherein when the medical record presentation mode is the multi-level structured medical record presentation mode, the medical record attribute information presentation module comprises:
the arrangement attribute information generation unit is used for orderly arranging the medical record attribute information in a hierarchical manner and in a classification manner according to a set display rule to generate arrangement medical record attribute information;
the first medical record attribute display unit is used for displaying the sorted medical record attribute information according to time factors or category factors;
the displayed sorted medical record attribute information supports the inquiry of medical record information of time conditions.
9. The apparatus according to claim 6, wherein when the medical record display manner is the structured PPT-like display manner, the medical record attribute information display module comprises:
the target configuration template determining unit is used for determining a target configuration template corresponding to the target disease species according to the mapping relation between the target disease species and the configuration template similar to the PPT;
the second medical record attribute display unit is used for filling the medical record attribute information into the target configuration template, and generating and displaying medical record attribute information of the structured PPT;
the displayed structured PTT-like medical record attribute information supports the modification of medical record content and display background.
10. The apparatus of claim 6, wherein when the medical record presentation mode is the panoramic presentation mode, the medical record attribute information presentation module comprises:
the third medical record attribute display unit is used for displaying the medical record attribute information in an all-around manner from a plurality of data dimensions by adopting at least one dynamic display screen;
wherein the dynamic display screen comprises: at least one of a consultation detail display screen, a medical image display screen, a medical pathology display screen, a telemedicine display screen, an audio and video display screen and an ultrasonic electrocardio display screen;
and a patient image interface, a pathological data interface and a video call interface are displayed on the dynamic display screen.
CN202011468100.9A 2020-12-14 2020-12-14 Patient clinical information acquisition and display method and device Pending CN112635070A (en)

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