Traditional Chinese Medicine Classic Electronic Medical Records Collection System

Abstract

The invention provides a classical electronic medical case collection system of traditional Chinese medicine, belonging to the technical field of case collection: the problem that classical cases cannot be judged is solved, a case acquisition end counts patient case information and personal information to obtain statistical content; a case analysis end receives the acquired content for analysis to obtain analysis results, obtains case collection reference values ​​according to the analysis results, judges the obtained case collection reference values, and obtains classical cases by judgment; the classical case collection end acquires and stores classical cases, acquires collection reference values ​​for each case, compares them with the collection reference values ​​corresponding to the classical cases, and updates the classical cases; the invention acquires patient case information, divides patients of different cases into categories, respectively acquires collection reference values ​​for each case, and judges classical cases according to the collection reference values, thereby solving the problem that explanation and collection cannot be performed based on classical cases.

Description

Technical Field

[0001] The invention relates to the technical field of traditional Chinese medicine tongue diagnosis and analysis, and in particular to a traditional Chinese medicine classic electronic medical record collection system. Background Art

[0002] Electronic Medical Record (EMR) is also called computerized medical record system or computer-based patient record (CPR).

[0003] It is a digital medical record that is stored, managed, transmitted and reproduced by electronic devices (computers, health cards, etc.) to replace handwritten paper medical records. Its content includes all the information in paper medical records. The National Institute of Medicine of the United States defines it as: EMR is an electronic patient record based on a specific system. The system provides users with access to complete and accurate data, warnings, prompts and clinical decision support systems. During the process of TCM treatment, the patient's treatment status is recorded through electronic medical records.

[0004] In the prior art, during the treatment of TCM patients, the information is usually recorded in the form of electronic medical records based on the patient's symptom information. During the recording process, each patient's case is recorded separately and the patient's case is collected. When collecting the cases, during the demonstration and explanation of the patient's case, usually only each case is explained, and the collected cases cannot be analyzed, and the judgment of the classic cases cannot be obtained, so that the electronic medical records are just a single collection. Therefore, the present invention proposes a TCM classic electronic medical record collection system. Summary of the invention

[0005] In view of the shortcomings of the prior art, the purpose of the present invention is to provide a classic Chinese medicine electronic medical record collection system, which acquires patient case information, divides the patient into intervals according to the patient's age, collects the patient's medication information, diagnosis information and diagnostic case information during the treatment process, divides the patients into categories, acquires collection reference values ​​for each case, judges the classic cases according to the collection reference values, and solves the problem that it is impossible to explain and collect based on classic cases.

[0006] In order to achieve the above-mentioned object, the present invention is implemented by the following technical scheme: a TCM classic electronic case collection system, characterized in that the TCM classic electronic case collection system includes a case acquisition end, a case analysis end and a classic case collection end;

[0007] The case acquisition end collects statistics on the patient's case information and personal information, obtains statistical content, and transmits the statistical content to the case analysis end;

[0008] The case analysis end receives and analyzes the acquired content to obtain the analysis result, obtains the case collection reference value according to the analysis result, judges the obtained case collection reference value, obtains the classic case, and transmits the classic case to the classic case collection end;

[0009] The classic case collection end obtains and stores the classic cases, obtains the collection reference value of each case, compares it with the collection reference value corresponding to the classic case, and updates the classic case;

[0010] It also includes a server, which is connected to the case acquisition end, the case analysis end and the classic case collection end respectively.

[0011] Furthermore, when performing the initial analysis, the case acquisition terminal includes a diagnosis module, a medication record module, a statistics module, and a patient information acquisition module;

[0012] The diagnosis module diagnoses the patient and obtains the diagnosis case information and the number of diagnosis times. The medication record module obtains the patient's medication time and medication times. With the patient's consent, the patient's personal information is obtained and the patient's age value is extracted. The statistics module counts the patient's medication time, medication times, diagnosis times, diagnosis case information and age values ​​for each patient according to different patients to obtain statistical content. The patient information acquisition module obtains the statistical content and transmits the obtained statistical content to the case analysis end.

[0013] Furthermore, the case analysis end obtains the analysis results, and the case analysis end includes a case analysis module, a data calculation module and a patient case judgment module;

[0014] The case analysis module receives the patient diagnosis case information, classifies the patient cases, makes statistics on the patients in each category, and obtains the patient medication time, medication times, diagnosis times and age values ​​according to each category of patients;

[0015] When analyzing the age value, the first recovery interval, the second recovery interval and the third recovery interval are set for the patient according to the different recovery times of the same disease in different age groups;

[0016] When setting the recovery interval, the specific steps are as follows: for patients of different ages who suffer from the same case and the same illness time, n patients of the same age are selected, where n is a positive integer and n>30; the recovery time of each age is obtained, and the recovery time of patients of each age is arranged in ascending order, and the average recovery time value of the remaining recovery time is obtained for the first recovery time, the second recovery time, the n-1th recovery time and the nth recovery time after the arrangement, thereby obtaining the average recovery time value for each age, and the recovery intervals with similar recovery times are divided according to the average recovery time values ​​of different ages, and the first recovery interval, the second recovery interval and the third recovery interval are set in sequence, and the value in the first recovery interval is smaller than the value in the second recovery interval, and the value in the second recovery interval is smaller than the value in the third recovery interval;

[0017] According to the different recovery times of patients in different recovery intervals, the first recovery interval is assigned a 1 , assign the second recovery interval to a 2 , assign the third recovery interval to a 3 ,and a 1 > a 2 > a 3 >0.

[0018] Furthermore, the case analysis end obtains the analysis result, and further includes:

[0019] The case analysis module obtains the medication time, medication frequency, and diagnosis frequency of patients in the first recovery interval, the second recovery interval, and the third recovery interval, respectively, and obtains the medication time, medication frequency, and diagnosis frequency of the first case to the medication time, medication frequency, and diagnosis frequency of the qth case according to the type of disease, where q is a positive integer and is the number of case classifications;

[0020] The analysis of the patients' medication time and medication frequency is as follows:

[0021] Obtain the number of medication changes c during the medication period during the patient's treatment, obtain the number of medication changes after each change, and obtain the number of medication changes after the first medication change to obtain the number of medication changes. b 1 , obtain the number of medications used after the cth medication change, and get the number of medications used b c ;

[0022] The first medication change during the patient's treatment is assigned a value of c1 , No. c The medication was changed to c c ;

[0023] The data calculation module calculates the patient's medication reference value based on the number of times the patient takes the medication Y yz To obtain, the specific formula is as follows:

[0024] Y yz = c 1 × b 1 +……+ c c × b c ;

[0025] The medication reference values, number of diagnoses, first recovery interval, second recovery interval and third recovery interval obtained through the analysis are defined as analysis results, and the case collection reference values ​​are obtained based on the analysis results.

[0026] Further, the data calculation module obtains the reference value of each case collection of patients in the first recovery interval, and sequentially obtains the reference value of each case collection of patients in the first recovery interval;

[0027] The data calculation module obtains the reference value collected for each case of patients in the second recovery interval, and sequentially obtains the reference value collected for each case of patients in the second recovery interval;

[0028] The data calculation module obtains the reference value collected for each case of patients in the third recovery interval, and sequentially obtains the reference value collected for each case of patients in the third recovery interval.

[0029] Furthermore, the patient case judgment module receives the collection reference values ​​of the same case within the first recovery interval, the second recovery interval and the third recovery period, obtains the patient case corresponding to the maximum collection reference value, obtains each case one by one, defines the obtained multiple patient cases as classic cases, and transmits the classic cases to the classic case collection end.

[0030] Furthermore, the classic case collection end includes a classic case update module and a comparison module; the case update module analyzes the collection reference value of each case on the case analysis end to obtain the collection reference value, and the comparison module compares the obtained collection reference value with the collection reference value of the classic case. If the obtained collection reference value is smaller than the collection reference value of the classic case, the classic case will not be modified; if the obtained collection reference value is larger than the collection reference value of the classic case, the classic case will be modified.

[0031] Furthermore, the classic case collection end also includes a storage module, which stores the collection reference values ​​of the classic cases. When the classic cases are modified, the server deletes the patient classic cases corresponding to the storage module and stores the patient cases corresponding to the acquired collection reference values.

[0032] Beneficial effects of the present invention:

[0033] 1. The present invention is based on obtaining the illness time of different ages under the same illness type, selecting multiple people in the same age group to obtain the recovery time, eliminating the two largest recovery times and the two smallest recovery times, obtaining the average value of the recovery time, and dividing the recovery interval according to the average value of the recovery time of different ages, thereby improving the accuracy of the recovery interval division.

[0034] 2. The present invention acquires patient case information, divides the patient into intervals according to the patient's age, classifies the patient's medication information, diagnostic information and diagnostic case information during the treatment process, and classifies patients of different cases into categories, and acquires the collection reference values ​​of each case respectively, and judges the classic cases according to the collection reference values, thereby solving the problem that it is not possible to explain and collect based on classic cases. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings:

[0036] Figure 1 This is a principle block diagram of the TCM classic electronic medical record collection system of the present invention;

[0037] Figure 2 This is a method step diagram of the TCM classic electronic medical record collection system of the present invention;

[0038] Figure 3 It is an analysis schematic diagram of the case analysis module in the TCM classic electronic case collection system of the present invention. DETAILED DESCRIPTION

[0039] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0040] In the present invention, please refer to Figure 1 , a TCM classic electronic case collection system, the case collection system includes a case acquisition terminal, a case analysis terminal, a classic case collection terminal and a server, the case acquisition terminal, the case analysis terminal and the classic case collection terminal are respectively connected to the server;

[0041] The case acquisition end collects statistics on the patient's case information and personal information, obtains statistical content, and transmits the statistical content to the case analysis end;

[0042] The case acquisition end includes a diagnosis module, a medication record module, a statistics module, and a patient information acquisition module;

[0043] The diagnosis module diagnoses the patient and obtains the diagnosis case information and the diagnosis times. The medication record module obtains the medication time and medication times of the patient, obtains the patient's personal information with the patient's consent, and extracts the patient's age value. The statistics module counts the medication time, medication times, diagnosis times, diagnosis case information and age values ​​of each patient according to different patients to obtain statistical content. The patient information acquisition module obtains the statistical content and transmits the obtained statistical content to the case analysis end.

[0044] The case analysis end receives and obtains the content for analysis, obtains the analysis results, obtains the case collection reference values ​​based on the analysis results, makes judgments on the obtained case collection reference values, obtains the classic cases, and transmits the classic cases to the classic case collection end.

[0045] The case analysis end includes a case analysis module, a data calculation module, and a patient case judgment module;

[0046] The case analysis module receives the patient diagnosis case information, classifies the patient cases, makes statistics on the patients in each category, and obtains the patient medication time, medication times, diagnosis times and age values ​​according to each category of patients;

[0047] See also Figure 3 ,When analyzing the age value, according to the different recovery times of different age groups suffering from the same disease, the first recovery interval, the second recovery interval and the third recovery interval are set for the patients;

[0048] When setting the recovery interval, specifically as follows: for patients of different ages who suffer from the same case and the same illness time, select n patients of the same age, where n is a positive integer and n>30; obtain the recovery time of each age, and arrange the recovery time of patients of each age in ascending order, and for the first recovery time, the second recovery time, the n-1th recovery time and the nth recovery time after arrangement, calculate the average recovery time value of the remaining recovery time, thereby calculating the average recovery time value for each age, and divide the recovery time into recovery intervals according to the average recovery time of different ages, and set the first recovery interval, the second recovery interval and the third recovery interval in sequence, and the value in the first recovery interval is smaller than the value in the second recovery interval, and the value in the second recovery interval is smaller than the value in the third recovery interval.

[0049] According to the different recovery times of patients in different recovery intervals, the first recovery interval is assigned a 1 , assign the second recovery interval to a 2 , assign the third recovery interval to a 3 ,and a 1 > a 2 > a 3 >0;

[0050] The case analysis module obtains the medication time, medication frequency, and diagnosis frequency of patients in the first recovery interval, the second recovery interval, and the third recovery interval, respectively, and obtains the medication time, medication frequency, and diagnosis frequency of the first case to the medication time, medication frequency, and diagnosis frequency of the qth case according to the type of disease, where q is a positive integer and is the number of case classifications;

[0051] The analysis of the patients' medication time and medication frequency is as follows:

[0052] Get the number of medication changes c during the medication time of the patient's treatment process, where c is a positive integer, get the number of medication changes after each change, and get the number of medication changes after the first medication change to get the number of medication changes. b 1 , obtain the number of medications used after the cth medication change, and get the number of medications used b c ;

[0053] Among them, the number of times the medication is changed during the medication period of the patient's treatment is obtained by obtaining the medication period, and obtaining the number of times the medication is changed during this medication period;

[0054] The first medication change during the patient's treatment is assigned a value of c 1 , No. c The medication was changed to c c ;

[0055] The data calculation module calculates the patient's medication reference value based on the number of times the patient takes the medication Y yz To obtain, the specific formula is as follows:

[0056] Y yz = c 1 × b1 +……+ c c × b c ;

[0057] It should be noted that: during each medication change, the patient indicates that the last medication could not fully treat his condition. During the treatment process, as the number of medication changes increases, it means that the treatment of the patient's condition becomes more and more troublesome. Therefore, in each medication process, a different value is assigned to each medication to judge the patient's condition.

[0058] The analysis of the number of diagnoses is as follows:

[0059] When diagnosing a patient, as the number of diagnoses increases, it means that the case is more difficult to treat during the treatment process or the probability of misdiagnosis during the treatment process is greater. Therefore, when treating a patient, the increase in the number of diagnoses affects the patient's treatment direction and also has a certain impact on the complexity of the patient's case.

[0060] The medication reference values, diagnosis times, first recovery interval, second recovery interval and third recovery interval obtained from the analysis are defined as analysis results, and the case collection reference values ​​are obtained according to the analysis results;

[0061] The data calculation module obtains reference values ​​for each case of patients in the first recovery interval. For details, please refer to the following formula:

[0062] Y q = a 1 × Y yz × z d ;

[0063] in Y q Collect reference values ​​for patient cases in the first recovery interval, z d is the number of diagnoses;

[0064] The patient case collection reference values ​​of each case in the first recovery interval are obtained in sequence;

[0065] The data calculation module obtains reference values ​​for each case of patients in the second recovery interval. For details, please refer to the following formula:

[0066] E q = a 2 × Y yz ×z d ;

[0067] in E q Collect reference values ​​for patient cases in the second recovery interval;

[0068] The patient case collection reference value of each case in the second recovery interval is obtained in sequence;

[0069] The data calculation module obtains reference values ​​for each case of patients in the third recovery interval. For details, please refer to the following formula:

[0070] S q = a 3 × Y yz × z d ;

[0071] in S q Collect reference values ​​for patient cases in the third recovery interval;

[0072] The patient case collection reference values ​​of each case in the third recovery interval are obtained in turn;

[0073] The patient case judgment module receives the collection reference values ​​of the same case in the first recovery interval, the second recovery interval and the third recovery period, obtains the patient case corresponding to the maximum collection reference value, obtains each case one by one, and defines the obtained multiple patient cases as classic cases;

[0074] The classic case collection end obtains and stores the classic cases, obtains the collection reference value of each case, compares it with the collection reference value corresponding to the classic case, and updates the classic case.

[0075] The classic case collection end includes a classic case update module, a comparison module and a storage module; the storage module stores the collection reference values ​​of the classic cases, the case update module obtains the collection reference value of each case analyzed by the case analysis end, and the comparison module compares the obtained collection reference value with the collection reference value of the classic case. If the obtained collection reference value is smaller than the collection reference value of the classic case, the classic case will not be modified. If the obtained collection reference value is larger than the collection reference value of the classic case, the server deletes the patient classic case corresponding to the storage module and stores the patient case corresponding to the obtained collection reference value.

[0076] In the present invention, a server is a type of computer that runs faster, has a higher load, and is more expensive than an ordinary computer. The server provides computing or application services for other clients (such as PCs, smart phones, ATMs and other terminals, and even large devices such as train systems) in the network. The server has high-speed CPU computing power, long-term reliable operation, strong I / O external data throughput capacity, and better scalability.

[0077] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions. The size of the weight coefficient and the proportional coefficient is to quantify each parameter to obtain a specific value, which is convenient for subsequent comparison. Regarding the size of the weight coefficient and the proportional coefficient, as long as it does not affect the proportional relationship between the parameter and the quantized value, it is fine.

[0078] See also Figure 2 In another embodiment, based on another concept of the same invention, a working method of a TCM classic electronic medical record collection system is proposed, and the working method is as follows:

[0079] Step S1: diagnose the patient, obtain the diagnosis case information and the diagnosis number value, obtain the patient's medication time and medication frequency, obtain the patient's personal information, extract the patient's age value, and the statistical module counts the patient's medication time, medication frequency, diagnosis frequency, diagnosis case information and age value of each patient according to different patients to obtain statistical content;

[0080] Step S2: receiving and analyzing the acquired content to obtain analysis results, obtaining case collection reference values ​​according to the analysis results, judging the obtained case collection reference values, and determining whether a classic case is obtained;

[0081] The specific steps to obtain the analysis results are as follows:

[0082] 1. Obtain the medication time, medication frequency, diagnosis frequency and age values ​​of each category of patients;

[0083] 2. For patients of different ages who suffer from the same case and have the same illness time, select n patients of the same age, where n is a positive integer and n>30; obtain the recovery time of each age, and arrange the recovery time of patients of each age in ascending order; for the first recovery time, the second recovery time, the n-1th recovery time and the nth recovery time after arrangement, calculate the average recovery time value of the remaining recovery time;

[0084] 3. Thus, the average recovery time value is obtained for each age, and the recovery intervals with similar recovery time are divided according to the average recovery time values ​​of different ages, and the first recovery interval, the second recovery interval and the third recovery interval are set in sequence;

[0085] 4. According to the different recovery times of patients in different recovery intervals, the first recovery interval is assigned a 1 , assign the second recovery interval to a 2 , assign the third recovery interval to a 3 ;

[0086] 5. Obtain the medication time, medication frequency, and diagnosis frequency of patients in the first recovery interval, the second recovery interval, and the third recovery interval, respectively. According to the type of disease, obtain the medication time, medication frequency, and diagnosis frequency of the first case to the medication time, medication frequency, and diagnosis frequency of the qth case;

[0087] 6. Obtain the number of medication changes c during the medication time of the patient's treatment process, where c is a positive integer, obtain the number of medications after each change, and obtain the number of medications after the first medication change to obtain the number of medications. b 1 , obtain the number of medications used after the cth medication change, and get the number of medications used b c ;

[0088] 7. The first medication change during the patient's treatment is assigned a value of c 1 , the cth medication was changed to c c ;

[0089] The data calculation module calculates the patient's medication reference value based on the number of times the patient takes the medication Y yz To obtain;

[0090] The medication reference values, diagnosis times, first recovery interval, second recovery interval and third recovery interval obtained from the analysis are defined as analysis results, and the case collection reference values ​​are obtained according to the analysis results;

[0091] The specific steps for obtaining the reference value of case collection are as follows:

[0092] Step 81: Acquire a reference value for each case of patients in the first recovery interval, and sequentially obtain a reference value for each case of patients in the first recovery interval;

[0093] Step 82: Acquire a reference value for each case of patients in the second recovery interval, and sequentially obtain a reference value for each case of patients in the second recovery interval;

[0094] Step 83: Acquire a reference value for each case of patients in the third recovery interval, and sequentially obtain a reference value for each case of patients in the third recovery interval;

[0095] To judge the classic case, the specific steps are as follows:

[0096] Step S21: the patient case determination module receives the collection reference values ​​of the same case in the first recovery interval, the second recovery interval and the third recovery period;

[0097] Step S22: Obtain the patient case corresponding to the maximum acquisition reference value, obtain each case one by one, and define the obtained multiple patient cases as classic cases.

[0098] Step S3: Acquire and store classic cases, obtain the collection reference value of each case, compare it with the collection reference value corresponding to the classic case, and update the classic case.

[0099] The specific steps for updating classic cases are as follows:

[0100] Step S31: storing the collection reference values ​​of classic cases and acquiring the collection reference values ​​of each case;

[0101] Step S32: comparing the acquired collection reference value with the collection reference value of the classic case;

[0102] Step S33: If the acquired collection reference value is less than the collection reference value of the classic case, the classic case is not modified;

[0103] Step S34: If the acquired acquisition reference value is greater than the acquisition reference value of the classic case, the corresponding patient classic case is deleted, and the patient case corresponding to the acquired acquisition reference value is stored.

[0104] In the above embodiments of the present application, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.

[0105] It should be understood by those skilled in the art that the embodiments of the present invention may be provided as methods, systems or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program codes. Among them, the storage medium may be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read Only Memory, referred to as EPROM), programmable read-only memory (Programmable Red-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic memory, flash memory, magnetic disk or optical disk. These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0106] The above-described embodiments are only specific implementations of the present invention, which are used to illustrate the technical solutions of the present invention, rather than to limit them. The protection scope of the present invention is not limited thereto. Although the present invention is described in detail with reference to the above-described embodiments, ordinary technicians in the field should understand that any technician familiar with the technical field can still modify the technical solutions recorded in the above-described embodiments within the technical scope disclosed by the present invention, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. The TCM Classic Electronic Medical Record Collection System is characterized by: The case collection system includes the case acquisition end, the case analysis end, and the classic case collection end; The case acquisition end collects statistics on the patient's case information and personal information, obtains statistical content, and transmits the statistical content to the case analysis end; The case analysis end receives and analyzes the acquired content to obtain the analysis result, obtains the case collection reference value according to the analysis result, judges the obtained case collection reference value, obtains the classic case, and transmits the classic case to the classic case collection end; The classic case collection end obtains and stores the classic cases, obtains the collection reference value of each case, compares it with the collection reference value corresponding to the classic case, and updates the classic case; It also includes a server, which is connected to the case acquisition end, the case analysis end, and the classic case collection end respectively; When performing the initial analysis, the case acquisition terminal includes a diagnosis module, a medication record module, a statistics module, and a patient information acquisition module; The diagnosis module diagnoses the patient and obtains the diagnosis case information and the diagnosis times. The medication record module obtains the medication time and medication times of the patient, obtains the patient's personal information with the patient's consent, and extracts the patient's age value. The statistics module counts the medication time, medication times, diagnosis times, diagnosis case information and age values ​​of each patient according to different patients to obtain statistical content. The patient information acquisition module obtains the statistical content and transmits the obtained statistical content to the case analysis end. The case analysis end obtains the analysis results, and the case analysis end includes a case analysis module, a data calculation module and a patient case judgment module; The case analysis module receives the patient diagnosis case information, classifies the patient cases, makes statistics on the patients in each category, and obtains the patient medication time, medication times, diagnosis times and age values ​​according to each category of patients; When analyzing the age value, the first recovery interval, the second recovery interval and the third recovery interval are set for the patient according to the different recovery times of the same disease in different age groups; When setting the recovery interval, the specific steps are as follows: for patients of different ages who suffer from the same case and the same illness time, n patients of the same age are selected, where n is a positive integer and n>30; the recovery time of each age is obtained, and the recovery time of patients of each age is arranged in ascending order, and the average recovery time value of the remaining recovery time is obtained for the first recovery time, the second recovery time, the n-1th recovery time and the nth recovery time after the arrangement, thereby obtaining the average recovery time value for each age, and the recovery intervals with similar recovery times are divided according to the average recovery time values ​​of different ages, and the first recovery interval, the second recovery interval and the third recovery interval are set in sequence, and the value in the first recovery interval is smaller than the value in the second recovery interval, and the value in the second recovery interval is smaller than the value in the third recovery interval; According to the different recovery times of patients in different recovery intervals, the first recovery interval is assigned a1, the second recovery interval is assigned a2, and the third recovery interval is assigned a3, and a1>a2>a3>0; The case analysis end obtains the analysis result, and further includes: The case analysis module obtains the medication time, medication frequency, and diagnosis frequency of patients in the first recovery interval, the second recovery interval, and the third recovery interval, respectively, and obtains the medication time, medication frequency, and diagnosis frequency of the first case to the medication time, medication frequency, and diagnosis frequency of the qth case according to the type of disease, where q is a positive integer and is the number of case classifications; The analysis of the patients' medication time and medication frequency is as follows: Obtain the number of medication changes c during the medication period during the patient's treatment, obtain the number of medication changes after each change, obtain the number of medication changes after the first medication change to obtain the number of medication changes b1, obtain the number of medication changes after the cth medication change to obtain the number of medication changes bc; The first medication change during the patient's treatment is assigned a value of c1, and the cth medication change is assigned a value of cc; The data calculation module obtains the patient's medication reference value Yyz according to the number of times the patient takes medication. The specific formula is as follows: Yyz=c1×b1+……+cc×bc; The medication reference values, diagnosis times, first recovery interval, second recovery interval and third recovery interval obtained from the analysis are defined as analysis results, and the case collection reference values ​​are obtained according to the analysis results; The data calculation module acquires a reference value for each case of patients in the first recovery interval, and sequentially obtains a reference value for each case of patients in the first recovery interval; The data calculation module obtains the reference value collected for each case of patients in the second recovery interval, and sequentially obtains the reference value collected for each case of patients in the second recovery interval; The data calculation module obtains the reference value collected for each case of patients in the third recovery interval, and sequentially obtains the reference value collected for each case of patients in the third recovery interval; The patient case judgment module receives the collection reference values ​​of the same case within the first recovery interval, the second recovery interval and the third recovery period, obtains the patient case corresponding to the maximum collection reference value, obtains each case one by one, defines the obtained multiple patient cases as classic cases, and transmits the classic cases to the classic case collection end.

2. The TCM classic electronic medical record collection system according to claim 1 is characterized in that: The classic case collection end includes a classic case update module and a comparison module; the case update module obtains the collection reference value of each case analyzed by the case analysis end, and the comparison module compares the obtained collection reference value with the collection reference value of the classic case. If the obtained collection reference value is smaller than the collection reference value of the classic case, the classic case will not be modified; if the obtained collection reference value is larger than the collection reference value of the classic case, the classic case will be modified.

3. The TCM classic electronic medical record collection system according to claim 2 is characterized in that: The classic case collection end also includes a storage module, which stores the collection reference values ​​of the classic cases. When the classic cases are modified, the server deletes the patient classic cases corresponding to the storage module and stores the patient cases corresponding to the acquired collection reference values.

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