CN115691740A - Structured analysis processing method and system for medical record data - Google Patents
Structured analysis processing method and system for medical record data Download PDFInfo
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Abstract
The invention discloses a structured analysis processing method and a structured analysis processing system for medical record data, which particularly relate to the field of case analysis and are used for solving the problems that the configuration items of an electronic template are mostly unchanged or are only set according to each department, the relevant conditions of patients cannot be reflected in a targeted manner, and the configuration items of electronic medical records are easy to be complicated because the clinical characteristics expressed by different patients are different, including the acquisition of the body information and the hospitalizing information of the patients and the acquisition of the post-medical reaction of the patients according to the information; when an electronic medical record page generation request is received, acquiring the medical post-reaction of a patient, and adjusting the electronic medical record template configuration items according to the information; editing related medical record information in the adjusted electronic medical record template; the medical post-treatment reactions which may be generated by different patients are obtained by combining and summarizing the body information and the hospitalizing information of different patients, and the relevant configuration items of the electronic document are adjusted based on the medical post-treatment reactions so that the electronic medical record is more detailed and has pertinence to different patients.
Description
Technical Field
The invention relates to the technical field of case analysis, in particular to a structured analysis processing method and a structured analysis processing system for medical record data.
Background
With the continuous and deep development of information technology, the analysis and research results of data are gradually applied to various fields of social development. In the medical field, the structured analysis and research of the electronic medical record data are gradually favored by researchers, and become the first work of research in the medical field.
The electronic medical record is not used for emphasizing the application of the technology, but the business problems of ' structuring of the medical record ', template of the medical record ' and the like are put at the top. Meanwhile, the electronic medical record should not be structured for different patients, and the structured medical record options of the electronic medical record should be correspondingly adjusted, namely, some configuration items are added or deleted to enable the electronic medical record to be more detailed and have pertinence for different patients.
In view of the above problems, the present invention proposes a solution.
Disclosure of Invention
In order to overcome the above drawbacks in the prior art, embodiments of the present invention provide a method and a system for structured analysis and processing of medical record data, which combine and summarize body information and hospitalization information of different patients to obtain post-medical reactions that may be generated by different patients, and adjust related configuration items of an electronic document based on the post-medical reactions so that the electronic medical record is more detailed and targeted for different patients, thereby solving the problems in the background art.
In order to achieve the purpose, the invention provides the following technical scheme:
a structured analysis processing method for medical record data comprises the following steps:
step S1, obtaining self body information and hospitalizing information of a patient, and obtaining a medical reaction of the patient according to the self body information and the hospitalizing information;
s2, when an electronic medical record page generation request is received, obtaining the medical response of a patient, and adjusting the configuration items of the electronic medical record template according to the information;
and S3, editing related medical record information in the adjusted electronic medical record template to complete filling of the electronic medical record.
In a preferred embodiment, the patient body information comprises sex dimension characteristic information, age dimension characteristic information and physique dimension characteristic information of the patient;
the hospitalizing information comprises operation information and medication information of the patient.
In a preferred embodiment, in step S1, the following steps are included:
step S1.1, establishing a post-medical reaction database;
s1.2, analyzing data in the post-medical reaction database to obtain the body information of each patient and a post-medical reaction set under the hospitalizing information;
and S1.3, acquiring the body information and the hospitalizing information of the patient, inputting the body information and the hospitalizing information into a post-medical reaction database, and outputting the post-medical reaction of the patient.
In a preferred embodiment, in step S1.2, the information stored in the post-medical reaction database is further analyzed to obtain post-medical reactions of different patients that occur in high probability under the medical information, and the specific analysis process is as follows:
the number of people who take the same medicine and perform the same operation under the condition of obtaining the body information of the same patient is recorded as k, and various post-medical reactions are carried out 1 、c 2 、……、c n Numbering, counting the times of occurrence of post-treatment reactions corresponding to various types of medicines, marking as Nci, wherein i is more than or equal to 1 and less than or equal to n, and ci refers to i-type post-treatment reactions; comparing the occurrence frequency of each type of medical post-reaction with the number k of people to obtain the probability Pci of the occurrence of each type of medical post-reaction;
comparing the probability Pci of occurrence of various types of medical reactions with a standard threshold P0;
if the Pci is more than or equal to P0, calibrating the i-class medical reaction into a medical reaction with high probability;
if the Pci is smaller than P0, the i-class medical reaction is not calibrated to be a medical reaction with high probability;
all the probable occurrence of the post-medical reactions are set as a set of post-medical reactions.
In a preferred embodiment, in step S2, the acquired medical responses of the patient include a medical response set generated by the medical response database, and after the medical response set corresponding to the patient is acquired, the configuration items of the electronic medical record are adjusted, and only the configuration items in the medical response set are left.
In a preferred embodiment, in step S2, the obtaining of the medical response of the patient further includes the clinical response of the patient;
and the step S2 also comprises a step S2.1 of actively adding configuration items to the electronic medical record according to the clinical response of the patient.
In a preferred embodiment, after step S3, a step S4 is further included;
and sending all the configuration item contents in the electronic medical record to a post-medical reaction database for storage and analysis.
In a preferred embodiment, in step S1.2, a total data analysis amount k0 is set, and when the total sample amount of the body information and the hospitalization information of a certain type of patient is greater than or equal to k0, the data with the longest time interval is removed.
A medical record data structured analysis processing system is used for realizing the medical record data structured analysis processing method and comprises a processor, a data acquisition module, a medical post-reaction module and an electronic medical record module;
the processor is in signal connection with the data acquisition module, the medical post-reaction module and the electronic medical record module and is used for issuing a control instruction and receiving a data result;
the data acquisition module comprises a patient body information unit and a hospitalizing information unit and is used for acquiring patient body information and hospitalizing information and sending the patient body information and the hospitalizing information to the post-medical reaction module for analysis;
the medical post-treatment reaction module comprises a medical post-treatment reaction database and a medical post-treatment reaction analysis unit, the medical post-treatment reaction database is used for storing the body information and the hospitalizing information of the patients, and the medical post-treatment reaction analysis unit is used for acquiring a medical post-treatment reaction set of each patient according to the body information and the hospitalizing information of the patient and sending the medical post-treatment reaction set to the electronic medical record module;
after the electronic medical record module acquires the post-medical reaction set, adjusting configuration items in the electronic medical record module;
the electronic medical record module also comprises an active modification unit which is used for the doctor to actively modify the configuration items in the electronic medical record.
The invention has the technical effects and advantages that:
according to the invention, the body information and the hospitalizing information of different patients are combined and summarized to obtain the medical post-reaction which may be generated by different patients, and the relevant configuration items of the electronic document are adjusted based on the medical post-reaction, so that the electronic medical record is more detailed and has pertinence to different patients.
Drawings
FIG. 1 is a flow chart of a structured analysis processing method for medical record data according to the present invention;
FIG. 2 is a detailed flow chart of the present invention for obtaining the medical response of a patient;
fig. 3 is a schematic structural diagram of a structured analysis processing system for medical record data according to the method.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. 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 invention.
Before the technical solution is elaborated in detail, an application scenario of the technical solution is introduced first to make understanding of the technical solution clearer. In the practical application process, a doctor usually fills in the medical record condition of a target patient based on the existing electronic medical record template, most of the configuration items of the existing electronic medical record template are unchanged or are set only according to each department, the relevant conditions of patients cannot be reflected in a targeted manner, and the clinical features expressed by different patients are often different, so that the electronic medical record is easy to be complicated if the electronic medical record shows the relevant configuration items in a multi-level structure, and the doctor increases the workload of filling in cases. The technical scheme can be adopted to solve the problem in order to enable the electronic medical record to be capable of being configured individually for different patients and reduce the workload of doctors.
According to the invention, the body information and the hospitalizing information of different patients are combined and summarized to obtain the medical post-reaction which may be generated by different patients, and the relevant configuration items of the electronic document are adjusted based on the medical post-reaction, so that the electronic medical record is more detailed and has pertinence to different patients.
Example 1
FIG. 1 is a flow chart of a structured analysis processing method for medical record data according to the present invention, which includes the following steps:
step S1, obtaining the self body information and the hospitalizing information of the patient, and obtaining the medical reaction of the patient according to the self body information and the hospitalizing information.
And S2, when the electronic medical record page generation request is received, acquiring the medical response of the patient, and adjusting the electronic medical record template configuration items according to the information.
And S3, editing related medical record information in the adjusted electronic medical record template to complete filling of the electronic medical record.
Specifically, the medical information includes operation information and medication information of the patient, and the operation information indicates what kind of operation is performed on the patient, and the postoperative reactions caused by different operations are different, so that the operation information performed on the patient needs to be acquired. The medication information refers to which medicines are taken by patients, and different medicines have different responses to the medicines of the patients, so that the information of the medicines taken by the patients needs to be acquired. The drug information includes drug name, administration route, administration dose, and administration frequency. The dosage of the medicine has obvious influence on the medicine effect, if the dosage is small, the medicine effect cannot be exerted, and if the dosage is too large, toxic and side effects can be caused. The optimal dosage of the medicine can play the role of the medicine and can not cause ineffectiveness or toxic and side effects. And thus requires detailed acquisition.
Meanwhile, the operation information and the medication information need to be divided in detail according to the operation intensity and the medication content, and the reactions caused by operations and medication with different degrees are different, so that the operation information and the medication information need to be acquired.
The body information of the patient comprises a plurality of dimension single or mixed components such as sex dimension representation information, age dimension representation information, physique dimension representation information and the like of the patient.
The sex dimension characteristic information refers to the sex of patients, and the reaction of the patients who have different sexes to the same operation or take the same medicine can be different. For example, aspirin has a dual effect in reducing heart disease and stroke in men, but in middle-aged women, aspirin helps women prevent stroke, but does not prevent heart disease. Therefore, it is necessary to classify the sex of patients.
The age dimension characterization information refers to the age range of a patient, and the patients in different age ranges have different operation bearing capacities and different drug reaction degrees, for example, aspirin cannot play a role in preventing heart diseases for middle-aged women, but has an obvious dual-prevention effect for women over 65 years old, namely, the aspirin can prevent stroke and heart diseases. Therefore, it is necessary to obtain the age zone of the patient.
The physique dimension characterization information refers to physique information and medical history information of each patient, and the reactions of patients with different physiques to the patients after operation and the patients after taking medicine are different, for example, the main component 'loxoprofen sodium' in the medicine 'loxoprofen sodium dispersible tablet' has great damage to the patients with severe heart failure; for example, the main component penicillin sodium in the medicine cefetamet pivoxil hydrochloride dispersible tablet has great damage to patients with penicillin shock physique. Therefore, there is a need to obtain information characterizing the physical dimension of a patient.
The post-medical response includes post-operative and post-medical responses, which refer to the response that may occur after the patient has performed the operation and the response that may occur after the patient has taken some medicine, respectively.
In step S1, as shown in fig. 2, the following steps are performed:
and S1.1, establishing a post-medical reaction database.
And S1.2, analyzing the data in the post-medical reaction database, and acquiring the post-medical reaction set of the body information and the hospitalizing information of each patient.
And S1.3, acquiring the body information and the hospitalizing information of the patient, inputting the body information and the hospitalizing information into a post-medical reaction database, and outputting the post-medical reaction of the patient.
In step S1.1, the post-medical reaction database is used to provide post-medical reactions with a high probability according to the body information and the hospitalization information of different patients.
The data sources of the medical post-reaction database are hospital information collection and online information collection respectively.
The hospital information is to collect the clinical patient response information in the hospital, for example, the c-type postoperative response of the b patient after the a-type operation is completed, and store the a-type operation, the b patient and the c-type postoperative response into the medical post-reaction database.
The online information collection refers to collecting corresponding patient response information through a network, for example, acquiring drug information from drug adverse reaction reports, alert fasts and instruction revision notices issued by the drug evaluation center of the drug administration of China, drug safety communication issued by the U.S. FDA, and other websites. The medicine information comprises patient information of medicine taking and corresponding post-medicine reactions, and the medicines, the patients and the medicine reactions are stored in a post-medicine reaction database after being in one-to-one correspondence. The specific acquisition means can adopt a web crawler, intelligent collection of safety information is realized, and the medicine information and the patient information data are updated regularly.
In step S1.2, the information stored in the post-medical reaction database is further analyzed to obtain post-medical reactions of different patients that occur at a high probability under the hospitalization information, and the specific analysis process is as follows:
the number of people who take the same medicine and perform the same operation under the condition of obtaining the body information of the same patient is recorded as k, and various post-medical reactions are carried out 1 、c 2 、……、c n Numbering, counting the occurrence frequency of each type of medical post-reaction under the premise, marking as Nci, wherein i is more than or equal to 1 and less than or equal to n, and ci refers to i types of medical post-reaction. Comparing the number of times of occurrence of each type of post-medical reaction with the number k of people, obtaining the probability Pci of occurrence of each type of post-medical reaction, wherein Pci = Nci/k.
Comparing the probability Pci of occurrence of various types of post-medical reactions with a standard threshold value P0;
if the Pci is more than or equal to P0, the i-type post-medical reaction belongs to post-medical reaction which occurs in a high probability, the post-medical reaction database marks the i-type post-medical reaction as the post-medical reaction which occurs in a high probability, namely when the input patient body information, the input medicine information and the input operation information are the same as the standard, the output result of the post-medical reaction database comprises the i-type post-medical reaction;
if Pci is smaller than P0, the i-type post-medical reaction does not belong to the most probable post-medical reaction, and the output result does not contain the i-type post-medical reaction under the condition of the same input by the post-medical reaction database.
Therefore, the probability of occurrence of all possible postiatric reactions is calculated, and a corresponding approximate probability postiatric reaction set is obtained. And outputting the post-medical reaction set when the post-medical reaction database receives the same input.
In step S2, the medical post-treatment reaction of the patient is obtained and includes a medical post-treatment reaction set generated by the medical post-treatment reaction database, and after the medical post-treatment reaction set corresponding to the patient is obtained, the configuration items of the electronic medical record are adjusted, and only the configuration items in the medical post-treatment reaction set are left, so that the doctor can conveniently search and fill, and the doctor can conveniently focus on observation after aiming at the medical post-treatment reaction set, and can conveniently perform subsequent diagnosis and treatment.
Example 2
The difference between the embodiment 2 of the present invention and the above embodiments is that the above embodiments mainly introduce that configuration items included in the electronic medical record are adjusted according to the patient's own body information and the hospitalizing information, so that a doctor is prompted to perform a focused observation and diagnosis on related matters while searching and filling the configuration items. However, since the medical responses are not constant, the warranty card may be a general medical response, and unexpected response symptoms may occur, in step S2, the acquired medical responses of the patient include the medical response set generated by the medical response database on one hand, and the clinical responses of the patient on the other hand, that is, step S2 further includes step S2.1, and the configuration items are actively added to the electronic medical record according to the clinical responses of the patient, so that the electronic medical record does not omit all information of the patient.
Meanwhile, after the filling-in of the electronic medical record is completed in the step S3, the method also comprises a step S4 of sending all the configuration item contents in the electronic medical record to a post-medical reaction database for storage and analysis. Through the step S4, the internal data of the post-treatment reaction database can be updated, so that the data is more accurate and has timeliness.
Example 3
The difference between the embodiment 3 of the present invention and the above embodiments is that, in the above embodiment 2, the contents of all configuration items in the electronic medical record are sent to the post-medical reaction database for storage and analysis, but how to perform the analysis is not described. Since the responses of the same medicine and operation may vary with the social development, the post-medical response set, which is a set of post-medical responses that may occur in a patient at a high probability, needs to be updated.
That is, in step S1.2, a total data analysis amount k0 is set, and when the total sample amount of the body information and the hospitalization information of a certain type of patient exceeds k0, the earliest acquired order is deleted according to the time sequence of acquiring data, so as to ensure timeliness of acquiring a post-medical reaction set.
Specifically, as the constitution and the environment of people are different along with the lapse of time, if the samples used for analyzing the medical post-reaction database are all historical data, the data may be distorted to a certain extent, and therefore, on the premise that the sample size meets the requirement, the data with the longest time interval is removed if new data is supplemented. Thereby ensuring the timeliness of the risk coefficient and the pharmacodynamic coefficient.
Meanwhile, when an electronic medical record page generation request is received, historical diagnosis and treatment data of a patient and the current diagnosis and treatment data are obtained, if the historical diagnosis and treatment data are the same as the current diagnosis and treatment data, namely the historical medicine operation condition is the same as the current time, a historical case template is automatically called to write a case, and therefore relevant configuration items of the case have pertinence to the patient.
Example 4
This embodiment 4 introduces a structured analysis processing system for medical record data, as shown in fig. 3, including a processor, a data acquisition module, a post-medical reaction module, and an electronic medical record module.
The processor is in signal connection with the data acquisition module, the post-treatment reaction module and the electronic medical record module and is used for issuing control instructions and receiving data results.
The data acquisition module comprises a patient body information unit and a hospitalizing information unit and is used for acquiring patient body information and hospitalizing information and sending the patient body information and the hospitalizing information to the post-medical reaction module for analysis.
The medical post-treatment reaction module comprises a medical post-treatment reaction database and a medical post-treatment reaction analysis unit, the medical post-treatment reaction database is used for storing the body information and the hospitalizing information of the patients, and the medical post-treatment reaction analysis unit is used for acquiring the medical post-treatment reaction set of each patient according to the body information and the hospitalizing information of the patient and sending the medical post-treatment reaction set to the electronic medical record module.
After the electronic medical record module acquires the post-treatment reaction set, the configuration items in the electronic medical record module are adjusted, so that a doctor can conveniently search and fill, and the doctor can conveniently focus on and observe the post-treatment reaction set, and the follow-up diagnosis and treatment are facilitated.
The electronic medical record module also comprises an active modification unit which is used for the doctor to actively modify the configuration items in the electronic medical record.
All the embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments may be referred to each other, and the embodiments are mainly described as different from other embodiments. In particular, as for the system embodiment, since it is basically used for implementing the method embodiment, the description is relatively simple, and for relevant points, reference may be made to partial description of the method embodiment.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory. The memory may include forms of volatile memory in a computer readable medium, random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Disks (DVD) or other optical storage, magnetic cassettes, magnetic tape storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information and/or data which can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
The points to be explained are: firstly, in the drawings of the disclosed embodiments of the present invention, only the structures related to the disclosed embodiments are referred to, and other structures can refer to general designs, and under the condition of no conflict, the same embodiment and different embodiments of the present invention can be combined with each other;
secondly, the method comprises the following steps: the application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
And finally: the present invention is not limited to the above preferred embodiments, but rather, any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A structured analysis processing method for medical record data is characterized by comprising the following steps:
step S1, obtaining self body information and hospitalizing information of a patient, and obtaining a medical reaction of the patient according to the self body information and the hospitalizing information;
s2, when an electronic medical record page generation request is received, obtaining the medical response of a patient, and adjusting the configuration items of the electronic medical record template according to the information;
and S3, editing related medical record information in the adjusted electronic medical record template to complete filling of the electronic medical record.
2. The method for structured analysis and processing of medical record data as claimed in claim 1, wherein: the patient body information comprises patient sex dimension representation information, age dimension representation information and physique dimension representation information;
the hospitalizing information comprises operation information and medication information of the patient.
3. The medical record data structured analysis processing method according to claim 2, wherein: in step S1, the following steps are included:
step S1.1, establishing a post-medical reaction database;
s1.2, analyzing data in the post-medical reaction database to obtain the body information of each patient and a post-medical reaction set under the hospitalizing information;
and S1.3, acquiring the body information and the hospitalizing information of the patient, inputting the body information and the hospitalizing information into a post-medical reaction database, and outputting the post-medical reaction of the patient.
4. The medical record data structured analysis processing method according to claim 3, wherein: in step S1.2, the information stored in the post-medical reaction database is further analyzed to obtain post-medical reactions of different patients that probably occur under the hospitalizing information, and the specific analysis process is as follows:
obtaining the same patient himselfThe number of people who take the same medicine and perform the same operation under the body information is recorded as k, and various post-medical reactions are performed for c 1 、c 2 、……、c n Numbering, counting the times of occurrence of post-treatment reactions corresponding to various types of medicines, marking as Nci, wherein i is more than or equal to 1 and less than or equal to n, and ci refers to i-type post-treatment reactions; comparing the occurrence frequency of each type of post-medical reaction with the number k of people to obtain the probability Pci of the occurrence of each type of post-medical reaction;
comparing the probability Pci of occurrence of various types of post-medical reactions with a standard threshold value P0;
if the Pci is more than or equal to P0, calibrating the i-class medical reaction into a medical reaction with high probability;
if the Pci is smaller than P0, the i-class medical reaction is not calibrated to be a medical reaction with high probability;
all the probable occurrence of the post-medical reactions are set as a set of post-medical reactions.
5. The method for structured analysis and processing of medical record data as claimed in claim 1, wherein: in step S2, the acquired medical responses of the patient include a medical response set generated by the medical response database, and after the medical response set corresponding to the patient is acquired, the configuration items of the electronic medical record are adjusted, and only the configuration items in the medical response set are left.
6. The method for structured analysis and processing of medical record data as claimed in claim 1, wherein: in step S2, the acquired medical responses of the patient further comprise clinical responses of the patient;
and the step S2 also comprises a step S2.1 of actively adding configuration items to the electronic medical record according to the clinical response of the patient.
7. The method for structured analysis and processing of medical record data as claimed in claim 1, wherein: after the step S3, a step S4 is also included;
and sending all the configuration item contents in the electronic medical record to a post-medical reaction database for storage and analysis.
8. The method for structured analysis and processing of medical record data as claimed in claim 4, wherein: in step S1.2, a total data analysis amount k0 is set, and when the total sample amount of the body information and the hospitalizing information of a certain type of patients is greater than or equal to k0, the data with the longest time interval is removed.
9. A medical record data structured analysis processing system for implementing the medical record data structured analysis processing method according to any one of claims 1 to 8, characterized in that: comprises a processor, a data acquisition module, a post-treatment reaction module and an electronic medical record module;
the processor is in signal connection with the data acquisition module, the medical post-reaction module and the electronic medical record module and is used for issuing a control instruction and receiving a data result;
the data acquisition module comprises a patient body information unit and a hospitalizing information unit and is used for acquiring patient body information and hospitalizing information and sending the patient body information and the hospitalizing information to the post-medical reaction module for analysis;
the medical post-treatment reaction module comprises a medical post-treatment reaction database and a medical post-treatment reaction analysis unit, the medical post-treatment reaction database is used for storing the body information and the hospitalizing information of the patients, and the medical post-treatment reaction analysis unit is used for acquiring a medical post-treatment reaction set of each patient according to the body information and the hospitalizing information of the patient and sending the medical post-treatment reaction set to the electronic medical record module;
after the electronic medical record module acquires the post-medical reaction set, adjusting configuration items in the electronic medical record module;
the electronic medical record module also comprises an active modification unit which is used for the doctor to actively modify the configuration items in the electronic medical record.
10. The medical record data structured analysis processing system according to claim 9, wherein: the electronic medical record module also comprises an active modification unit which is used for the doctor to actively modify the configuration items in the electronic medical record.
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