Traditional Chinese medicine formula data management system for bone clinical research

Abstract

The present invention relates to a Chinese medicine formula data management system for bone clinical research, which belongs to the technical field of Chinese medicine formula management, and includes a data acquisition module for acquiring relevant data of the Chinese medicine formula, the relevant data including the name of the Chinese medicine formula, the current dosage of each medicinal material, the current processing information and the current source; a data evaluation module for comparing each relevant data with the corresponding quality evaluation condition to obtain an evaluation result, and the evaluation result includes abnormal data; an abnormal data processing module for determining the problem type based on the abnormal data when the evaluation result includes abnormal data, determining the problem handler based on the problem type, and sending the abnormal data to the mobile terminal corresponding to the problem handler; a report generation module for generating a quality evaluation report based on the evaluation result and the abnormal data processing information of the problem handler. The present application has the effect of improving the quality of Chinese medicine formula data.

Description

Technical Field

[0001] The present application relates to the technical field of Chinese medicine formula management, and in particular to a Chinese medicine formula data management system for bone clinical research. Background Art

[0002] In the field of orthopedics, Chinese herbal medicine formulas, as an important part of traditional medicine, have always attracted much attention for their efficacy and safety; however, the current collection and management of quality data on Chinese herbal medicine formulas face many challenges, which seriously restricts the further development and application of Chinese herbal medicine formulas.

[0003] The specific status of the problem is as follows:

[0004] 1. Inconsistent data collection standards: Currently, there is a lack of unified standards and specifications for the collection of quality data on traditional Chinese medicine formulas, resulting in large differences in the format, content, accuracy, etc. of the collected data, making it difficult to share and integrate them effectively.

[0005] 2. Imperfect quality control system: The quality control system for Chinese medicine formula quality data is still imperfect, lacking effective data quality assessment, monitoring and processing mechanisms, resulting in uneven data quality and unable to provide a reliable basis for efficacy evaluation.

[0006] 3. Inefficient data management and analysis: Due to problems in data collection and quality control, the management and analysis of TCM formula quality data are inefficient and cannot meet the actual needs of quality managers such as regulatory agencies, manufacturers and non-commercial sponsors.

[0007] 4. Improper handling of adverse reactions / events: There is a lack of effective data collection, evaluation and processing procedures for adverse reactions / events of traditional Chinese medicine formulas, which makes it difficult to discover and solve problems in a timely manner, posing potential risks to patients' medication safety. Summary of the invention

[0008] In order to solve the above problems, the present application provides a traditional Chinese medicine formula data management system for bone clinical research.

[0009] In the first aspect, the present application provides a Chinese medicine formula data management system for bone clinical research, which adopts the following technical solution:

[0010] A Chinese medicine formula data management system for bone clinical research, including:

[0011] A data acquisition module is used to acquire relevant data of the traditional Chinese medicine formula, wherein the relevant data includes the name of the medicinal material of the traditional Chinese medicine formula, the current dosage of each medicinal material, the current processing information and the current source;

[0012] A data evaluation module, used for comparing each of the relevant data with the corresponding quality evaluation conditions to obtain an evaluation result, wherein the evaluation result includes abnormal data;

[0013] An abnormal data processing module, configured to, when the evaluation result includes abnormal data, determine a problem type based on the abnormal data, determine a problem handler based on the problem type, and send the abnormal data to a mobile terminal corresponding to the problem handler;

[0014] A report generation module is used to generate a quality assessment report based on the assessment result and the abnormal data processing information of the problem handler.

[0015] By adopting the above technical solution, the data acquisition module collects relevant data of the traditional Chinese medicine formula, the data evaluation module automatically compares each relevant data through preset quality evaluation conditions, and quickly identifies abnormal data. The abnormal data processing module can quickly respond to abnormal data in the evaluation results, automatically determine the problem handler based on the problem type, and send the abnormal data to the corresponding mobile terminal in time, so as to quickly locate and solve the problem, and timely discover and correct potential problems in the traditional Chinese medicine formula, thereby reducing the risks caused by improper use of drugs for patients.

[0016] Optionally, the quality assessment condition includes a quality assessment condition for a traditional Chinese medicine formula, and the data assessment module is specifically used for:

[0017] Obtaining patient information corresponding to the traditional Chinese medicine formula;

[0018] Determine the preset dosage of each medicinal material and conflicting medicinal materials in the traditional Chinese medicine formula based on the patient information;

[0019] Obtain the incompatible medicinal materials of each medicinal material in the traditional Chinese medicine formula;

[0020] In the case where the conflicting medicinal materials and / or the incompatible medicinal materials exist in the traditional Chinese medicine formula, generating first abnormal data;

[0021] In the case where the current usage does not meet the preset usage, generating second abnormal data;

[0022] In the case where there are repeated names of medicinal materials and / or incorrect names of medicinal materials in the traditional Chinese medicine formula, generating third abnormal data;

[0023] A Chinese medicine formula quality assessment table is generated based on the first abnormal data, the second abnormal data and the third abnormal data.

[0024] By adopting the above technical solutions, the quality evaluation form for Chinese medicine formula can significantly reduce the risk of medication and ensure the safety of patients' medication by identifying conflicting medicinal materials, incompatibility and improper dosage. Through strict verification of the names and dosages of medicinal materials, the quality evaluation form for Chinese medicine formula can help standardize medication behavior and reduce medication errors and confusion. Doctors or researchers can quickly understand the problems in the formula based on the quality evaluation form for Chinese medicine formula.

[0025] Optionally, the quality assessment condition includes a medicinal material quality assessment condition, and the data assessment module is specifically used to:

[0026] Obtaining evaluation indicators corresponding to each medicinal material, wherein the evaluation indicators include properties, identification items and content determination of the medicinal material;

[0027] When the evaluation index does not meet the medicinal material quality evaluation condition, generating fourth abnormal data;

[0028] Acquire preset processing information of each medicinal material, and generate fifth abnormal data when the current processing information does not conform to the preset processing information;

[0029] Obtaining a preset source of each medicinal material, and generating sixth abnormal data when the current source does not conform to the preset source;

[0030] A medicinal material quality assessment table is generated based on the fourth abnormal data, the fifth abnormal data and the sixth abnormal data.

[0031] By adopting the above-mentioned technical solution and through strict comparison of evaluation indicators and generation of abnormal data, the medicinal material quality evaluation form can timely discover problems with the properties, identification, content, processing and source of medicinal materials, thereby prompting relevant personnel to take measures to improve the quality of medicinal materials; the medicinal material quality evaluation form can help reduce the risks of medication caused by medicinal material quality problems by comprehensively evaluating the quality of medicinal materials.

[0032] Optionally, the quality assessment condition includes a data quality assessment condition, and the data assessment module is specifically used to:

[0033] If the relevant data does not meet the data quality assessment conditions, generating seventh abnormal data, the data quality assessment conditions including data consistency, data standardization, data integrity, data timeliness and data traceability;

[0034] A data quality assessment table is generated based on the seventh abnormal data.

[0035] By adopting the above technical solutions and through comprehensive data quality assessment, the data quality assessment form can timely discover and correct problems in the data, thereby improving the overall data quality; the data quality assessment form enhances the credibility and reliability of the data by ensuring the consistency, standardization, completeness, timeliness and traceability of the data.

[0036] Optionally, a data processing module is further included, which is used for, after obtaining the relevant data of the traditional Chinese medicine formula, including:

[0037] Preprocessing the relevant data of the traditional Chinese medicine formula, wherein the preprocessing includes cleaning the relevant data;

[0038] The preprocessed relevant data is sent to the data evaluation module.

[0039] By adopting the above technical solution, the quality of the preprocessed data is higher, which helps to improve the accuracy of the data evaluation module in medicinal material quality evaluation, Chinese medicine formula quality evaluation and data quality evaluation.

[0040] Optionally, the abnormal data processing module is specifically used to:

[0041] Acquiring the abnormal data;

[0042] Determine the problem type corresponding to the abnormal data;

[0043] Obtaining a question evaluation model corresponding to the question type;

[0044] The abnormal data is input into a corresponding problem evaluation model to obtain an evaluation result, wherein the evaluation result includes whether the abnormal data constitutes a problem to be solved.

[0045] By adopting the above technical solution, the abnormal data processing module processes abnormal data in an automated and intelligent manner, can quickly determine the problem type and obtain evaluation results, thereby significantly improving the problem solving efficiency. With the help of the problem evaluation model, the problem type and severity in the abnormal data can be more accurately identified, avoiding false alarms and omissions, and providing a reliable basis for subsequent solution strategies.

[0046] Optionally, when the evaluation result includes problems to be solved, the abnormal data processing module is further specifically used to:

[0047] Obtain a weight value of the problem type corresponding to the problem to be solved;

[0048] Determine anomaly scores based on abnormal data corresponding to the problem to be solved;

[0049] Determine an alarm level based on the abnormality score and the weight value;

[0050] Determining an alarm mode based on the alarm level;

[0051] The abnormal data is sent to the mobile terminal corresponding to the problem handler based on the alarm method.

[0052] By adopting the above technical solution and selecting the appropriate alarm method according to the severity and type of the problem, the abnormal data processing module can ensure that the problem handler can quickly receive and respond to the abnormal data, thereby speeding up the problem solving process.

[0053] Optionally, a problem solving determination module is further included, wherein the problem solving determination module is specifically used to:

[0054] Obtaining solution information for the problem to be solved;

[0055] Inputting the problem to be solved and the solution information corresponding to the problem to be solved into a verification model to obtain a verification result, wherein the verification result includes a match and a mismatch;

[0056] If the verification result is a match, the status of the unresolved issue is changed to resolved.

[0057] By adopting the above technical solution, by verifying the solution information of the problem to be solved, it is possible to quickly determine whether the problem has been effectively solved, thereby avoiding the tedious and time-consuming manual review and improving the efficiency of problem solving; by applying the verification model, the matching between the solution information and the problem to be solved is ensured, thereby avoiding the situation where the problem is not solved or is not solved thoroughly due to misjudgment or omission, and improving the quality of problem solving.

[0058] Optionally, a treatment effect tracking module is further included, and the treatment effect tracking module is specifically used to:

[0059] Obtain the current treatment information of the patient corresponding to the Chinese medicine formula;

[0060] querying the patient database whether there is historical treatment information that matches the current treatment information;

[0061] If yes, then generating comparison information between the current treatment information and the historical patient information;

[0062] The control information is displayed to track the treatment effect of the patient.

[0063] By adopting the above technical solution, by comparing the current treatment information with the historical treatment information, the treatment effect tracking module can more accurately evaluate the therapeutic effect of the traditional Chinese medicine formula, which helps doctors and patients better understand the progress of treatment and make more reasonable treatment decisions.

[0064] Optionally, the report generation module is further specifically used for:

[0065] Determine whether the preset period has been reached;

[0066] If yes, then obtain all the abnormal data;

[0067] Calculate the problem proportion of each problem type based on the abnormal data;

[0068] The proportion of the problems is displayed.

[0069] By adopting the above technical solution and regularly generating problem type ratio reports, relevant personnel can quickly identify the main problem types in the current cycle, which helps to locate problems more quickly, analyze causes, and take corresponding measures to make improvements. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] Figure 1 It is a structural block diagram of a Chinese medicine formula management system for bone clinical research in an embodiment of the present application.

[0071] Figure 2 It is a structural block diagram of data transmission of medicinal material collection equipment in an embodiment of the present application.

[0072] Figure 3 It is a structural block diagram of abnormal data processing in an embodiment of the present application.

[0073] Figure 4 It is a structural block diagram reflecting the interaction between the server and the user terminal in the embodiment of the present application. DETAILED DESCRIPTION

[0074] The present application is further described in detail below in conjunction with the accompanying drawings.

[0075] This specific embodiment is merely an explanation of the present application and is not a limitation of the present application. After reading this specification, those skilled in the art may make modifications to the present embodiment without any creative contribution as needed, but such modifications are protected by the patent law as long as they are within the scope of the claims of the present application.

[0076] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0077] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0078] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0079] The present application embodiment provides a Chinese medicine formula data management system for bone clinical research, such as Figure 1 As shown, the Chinese medicine formula data management system for bone clinical research includes:

[0080] The data acquisition module 100 is used to acquire the relevant data of the Chinese medicine formula, the relevant data including the name of the medicinal material of the Chinese medicine formula, the current dosage of each medicinal material, the current processing information and the current source;

[0081] In this embodiment, if Figure 2 As shown, Figure 2 The following is a structural block diagram of the server for uploading relevant data. The following first describes the medicinal material collection equipment. The medicinal material collection equipment includes an intelligent medicine cabinet and a medicinal material scanner. The intelligent medicine cabinet integrates medicinal material storage, intelligent weighing, and high-definition image collection. A high-definition image collector is integrated in the intelligent medicine cabinet to capture high-definition images of medicinal materials and identify the medicinal materials using image processing algorithms. A medicinal material barcode or QR code is pasted on each cabinet door of the intelligent medicine cabinet, and an RFID reader is integrated on the medicinal material scanner to quickly scan the medicinal material barcode or QR code to obtain medicinal material information, wherein the medicinal material information includes but is not limited to current preparation information, current source and medicinal material name. The intelligent medicine cabinet and the medicinal material scanner upload the collected medicinal material data to the server in real time, wherein the medicinal material data uploaded by the intelligent medicine cabinet includes but is not limited to the image of the medicinal material and the weight of the medicinal material. The intelligent medicine cabinet and the medicinal material scanner can be connected to the server by Bluetooth, and can also be wirelessly connected to electronic devices. There is no specific limitation on this. The server stores the data uploaded by the intelligent medicine cabinet and the medicinal material scanner in a database.

[0082] Doctortong inputs the patient information and the corresponding Chinese medicine formula information into the electronic device, and the electronic device uploads the patient information and Chinese medicine formula information to the database of the server to store and record the Chinese medicine formula and patient information, so as to facilitate the later query of the collected data.

[0083] The database includes but is not limited to MySQL database and MongoDB database.

[0084] The Chinese medicine formula management system used for bone clinical research also includes a data processing module, which is specifically used to: pre-process the relevant data of the Chinese medicine formula, the pre-processing includes data cleaning of the relevant data; and send the pre-processed relevant data to the data evaluation module.

[0085] In this embodiment, the collected data is preprocessed before being stored in the database, wherein data cleaning includes but is not limited to removing duplications and unifying data standards, such as repeatedly inputting the same traditional Chinese medicine formula for the same patient.

[0086] The data evaluation module 200 is used to compare each relevant data with the corresponding quality evaluation condition to obtain an evaluation result, which includes abnormal data;

[0087] Among them, the data evaluation module includes Chinese medicine formula quality evaluation, medicinal material quality evaluation and data quality evaluation. The Chinese medicine formula quality evaluation conditions, medicinal material quality evaluation conditions and data quality evaluation conditions are explained below respectively.

[0088] (I) Quality assessment conditions for traditional Chinese medicine formulas:

[0089] In this embodiment, the server obtains reference materials on traditional Chinese medicine in a large database, including but not limited to regulatory documents, standards, policies and regulations, and literature, and extracts relevant content about the quality and processing information of special medicinal materials in traditional Chinese medicine formulas, compatibility principles, and dosage standards from the reference materials.

[0090] For example, reference materials include CDISC, ICH guidelines, MedDRA, the National Health Information Data Meta-Directory, and you can also use search formulas to search for documents related to the quality of Chinese medicine formulas and the processing information, compatibility principles, and dosage standards of the special medicinal materials in Chinese medicine formulas in databases such as Wanfang, CNKI, CBM, PubMed, and EmBase.

[0091] The server extracts content related to the quality of Chinese medicine formulas and the processing information, compatibility principles, and dosage standards of special medicinal materials in Chinese medicine formulas from references. Among them, the extraction method can use NLP semantic recognition technology to identify the processing information, compatibility principles, and dosage standards and extract them; in addition, in order to expand the content of Chinese medicine formula quality data, other Chinese medicine dosage form quality reports can also be retrieved, such as Chinese herbal decoctions, Chinese patent medicines, and Chinese herbal injections.

[0092] In this embodiment, the compatibility principle and dosage standard are used as the evaluation conditions for the traditional Chinese medicine formula treatment, wherein the compatibility principle includes the contraindications of each medicinal material, and the contraindications are the drugs that are incompatible with the medicinal materials, such as the medicinal materials that affect the therapeutic efficacy.

[0093] In addition, whether the names of Chinese medicinal materials in Chinese medicine formulas are correct and whether there are duplicate medicinal materials is also a Chinese medicine data for determining the quality of Chinese medicine formulas. Therefore, the determination of medicinal material names and duplicate medicinal materials is also used as a condition for evaluating the quality of Chinese medicine formulas.

[0094] (II) Conditions for evaluating the quality of medicinal materials

[0095] The server obtains the property evaluation index standard, inspection item standard and medicinal material content determination standard of each medicinal material in the "Chinese Pharmacopoeia", and uses the property evaluation index standard, inspection item standard and medicinal material content determination standard as the medicinal material quality assessment conditions.

[0096] The conditions for evaluating the quality of medicinal materials also include the processing information and source of each medicinal material, wherein the processing information includes the processing method, processing time and processing temperature. In this embodiment, the processing method, processing time and processing temperature of each medicinal material are preset, as well as the qualification standards of the medicinal material manufacturer, such as basic industry qualifications, drug operation and production qualifications, quality management certification, etc.

[0097] (III) Data evaluation conditions

[0098] In this embodiment, data evaluation conditions include, but are not limited to, data integrity, data consistency, data standardization, data validity, and data traceability.

[0099] Among them, data integrity is to ensure that all required fields for bone diseases have been fully filled in, data integrity = (number of filled fields / total number of fields) * 100%; data consistency is to check the logical relationship between data, that is, date logic and numerical relationship to verify data; data standardization is to evaluate according to the format requirements unique to bone data, such as date format, numerical unit, etc.; data timeliness is to consider the treatment cycle of bone diseases and evaluate the timeliness of data collection; data traceability is to ensure that the source of data can be traced back to specific bone medicinal materials and case information.

[0100] The required fields for bone diseases include but are not limited to the name of the medicinal material: used to accurately record the medicinal materials used in the Chinese medicine formula to ensure the correct identification of the medicinal materials; medicinal material ingredients: record the main chemical components of the medicinal materials, which is helpful for analyzing the efficacy and possible adverse reactions; weight: record the weight of the medicinal materials used, which is an important basis for evaluating whether the dosage is appropriate; efficacy information: describe the pharmacological effects and expected efficacy of the medicinal materials, providing a basis for efficacy evaluation; safety data: including information such as known or potential adverse reactions and toxicity of the medicinal materials to ensure the safety of medication; medicinal material dosage: record the dosage of each medicinal material in detail and compare it with the standard dosage of the medicinal material Compare and evaluate the rationality of drug use; Usage: Describe the method of using medicinal materials, such as decoction, external application, etc., which affects the efficacy of the medicine; Compatibility relationship: Record the compatibility relationship between medicinal materials, check whether there are incompatibility contraindications, and ensure the rationality of the formula; Adverse reaction events: Record adverse reaction events related to Chinese medicine formulas, including symptoms, time of occurrence, etc., for safety assessment; Medicinal material quality data: Such as medicinal material properties, identification results, inspection items, content determination and other data, to evaluate the quality of medicinal materials; Processing process data: Record the key parameters of the medicinal materials such as processing methods, processing time, and processing temperature to ensure the compliance of the processing process.

[0101] Verification data includes but is not limited to date logic errors: the order of dates in the data is wrong, such as the start date is later than the end date; the date does not match the actual situation, such as the recorded treatment date is earlier than the patient's visit date; contradictory numerical relationships: the values ​​in the data do not conform to the expected mathematical relationship, such as errors in calculation of the sum, average, etc.; the numerical relationship between different data items is unreasonable, such as the record of weight loss is inconsistent with the record of dietary intake; logical conflicts between fields: the combination of some fields is logically unreasonable, such as treatments recorded as starting and ending on the same day, but the treatment duration is displayed as a longer period; mismatches between field values, such as the recorded amount of medicinal materials exceeds the maximum recommended amount of the medicinal materials under normal circumstances; repeated or contradictory information: there are repeated records in the data, but the content is different, resulting in inconsistent information, and the values ​​of the same data item in different locations or different records are contradictory; rule violations: the data violates the preset rules or standards, such as the incompatibility of medicinal materials, dosage standards, etc., and the data format or encoding does not meet the prescribed standards, resulting in inability to correctly parse or compare.

[0102] It should be noted that the above evaluation conditions can be changed according to needs.

[0103] The quality assessment of Chinese medicine formulas, medicinal materials and data assessment are explained below respectively.

[0104] 1. Quality assessment of traditional Chinese medicine formulas

[0105] Obtain patient information corresponding to the Chinese medicine formula; determine the preset dosage and conflicting medicinal materials of each medicinal material in the Chinese medicine formula based on the patient information; obtain the incompatible medicinal materials of each medicinal material in the Chinese medicine formula; generate first abnormal data when there are conflicting medicinal materials and / or incompatible medicinal materials in the Chinese medicine formula; generate second abnormal data when the current dosage does not meet the preset dosage; generate third abnormal data when there are repeated medicinal material names and / or incorrect medicinal material names in the Chinese medicine formula; generate a Chinese medicine formula quality evaluation table based on the first abnormal data, the second abnormal data and the third abnormal data.

[0106] In this embodiment, when obtaining a traditional Chinese medicine prescription, the patient information corresponding to the traditional Chinese medicine prescription is obtained, wherein the patient information includes basic information and historical medical information. The basic information includes but is not limited to name, age, gender, and pregnancy status, and the historical medical information includes but is not limited to the type of disease and medications taken.

[0107] In this embodiment, when obtaining patient information, contraindicated medicinal materials are determined through the compatibility principle. When contraindicated medicinal materials are present in the taken medicine, it is determined that there are conflicting medicinal materials in the traditional Chinese medicine formula. When contraindicated medicinal materials are present in the traditional Chinese medicine formula, it is determined that there are incompatible contraindicated medicinal materials. When conflicting medicinal materials and / or incompatible contraindicated medicinal materials are present in the traditional Chinese medicine formula, first abnormal data is generated, wherein the first abnormal data includes the medicinal material names of the conflicting medicinal materials and / or incompatible contraindicated medicinal materials.

[0108] It should be noted that the medications mentioned above refer to medications taken within the preset medium term, that is, medications taken within the time that affects the current Chinese medicine prescription, such as medications taken in the previous week or month. The patient's allergic drugs can also be determined based on the user's basic information, and allergic drugs are also regarded as conflicting drugs.

[0109] In this embodiment, the first abnormal data is explained by using incompatible medicinal materials, and Table 1 is an evaluation table of incompatible medicinal materials.

[0110] Table 1

[0111]

[0112] In this embodiment, a plurality of preset dosages are set for each medicinal material in the electronic device, and the corresponding preset dosage is determined based on the basic information of the patient, wherein each age group corresponds to a corresponding preset dosage. In other optional embodiments, the preset dosage can also be determined based on other information, such as gender, which is not specifically limited. The preset dosage includes but is not limited to the maximum dosage and the minimum dosage of one of the medicinal materials, and the compatibility ratio of the dosages between the medicinal materials.

[0113] When obtaining patient information, the preset dosage of each medicinal material is determined through the patient information, and the current dosage of each medicinal material is compared with the preset dosage. When the current dosage does not meet the preset dosage, the second abnormal data is generated, wherein the second abnormal data includes the name of the medicinal material and the excess amount, and the preset dosage is a range value.

[0114] Table 2 is an evaluation table of the current dosage in traditional Chinese medicine formulas.

[0115] Table 2

[0116]

[0117] In this embodiment, when obtaining a traditional Chinese medicine formula, each medicinal material name in the traditional Chinese medicine formula is compared with the bone medicinal material standard library to query whether there is a corresponding medicinal material name. When the corresponding medicinal material name does not exist, it is determined that the medicinal material name is inaccurate; the alias corresponding to each medicinal material name is obtained. When both the medicinal material name and the alias exist in the traditional Chinese medicine formula, it is determined that there are duplicate medicinal materials in the traditional Chinese medicine formula. When there are inaccurate medicinal material names and / or duplicate medicinal materials in the traditional Chinese medicine formula, third abnormal data is generated. The third abnormal data includes duplicate medicinal materials or inaccurate medicinal material names, such as duplicate medicinal materials A and B, and inaccurate medicinal material name C.

[0118] Table 3 is an evaluation table of drug formulation quality

[0119] Table 3

[0120]

[0121] (II) Medicinal Materials Quality Assessment

[0122] Obtain evaluation indicators corresponding to each medicinal material, the evaluation indicators include the properties, identification items and content determination of the medicinal materials; generate fourth abnormal data when the evaluation indicators do not meet the medicinal material quality evaluation conditions; obtain the preset processing information of each medicinal material, and generate fifth abnormal data when the current processing information does not meet the preset processing information; obtain the preset source of each medicinal material, and generate sixth abnormal data when the current source does not meet the preset source; generate a medicinal material quality evaluation table based on the fourth abnormal data, the fifth abnormal data and the sixth abnormal data.

[0123] Table 4 is an evaluation table of the properties of medicinal materials

[0124] Table 4

[0125]

[0126] Table 5 is an evaluation table for the identification items of medicinal materials

[0127] Table 5

[0128]

[0129]

[0130] Table 6 is an evaluation table for the content determination of medicinal materials

[0131] Table 6

[0132]

[0133] The server stores the identification method of each indicator of each medicinal material, wherein the identification method is also determined according to the "Chinese Pharmacopoeia".

[0134] Table 7 is an evaluation table of current processing information

[0135] Table 7

[0136]

[0137]

[0138] For licorice, the fifth abnormal data will be generated when the frying time is less than 25 minutes or the temperature exceeds 130℃; for tangerine peel, the fifth abnormal data will be generated if the drying time is less than 5 days; for cinnamon, the fifth abnormal data will be generated when the steaming time is less than 1.5 hours or the temperature exceeds 110℃; for white peony root, the fifth abnormal data will be generated when the boiling time is less than 50 minutes or the temperature exceeds 95℃.

[0139] Regarding the source of medicinal materials, the electronic device obtains the supplier information of each medicinal material, matches the supplier information with the historical supplier information in the supplier information database, and when the supplier information exists, determines that the sixth abnormal data does not exist. When the supplier information does not exist in the supplier information database, the supplier's qualification information is obtained from the big database, and determines whether the supplier is formal based on the qualification information. When it is not formal, the sixth abnormal data is generated, wherein the sixth abnormal data includes that the condition of supplier A is not met.

[0140] Table 8 is the evaluation table of drug quality

[0141] Table 8

[0142]

[0143] 3. Data quality assessment

[0144] When the relevant data does not meet the data quality assessment conditions, the seventh abnormal data is generated. The data quality assessment conditions include data consistency, data standardization, data integrity, data timeliness and data traceability; a data quality assessment table is generated based on the seventh abnormal data.

[0145] Table 9 is the data quality evaluation table

[0146] Table 9

[0147]

[0148] The abnormal data processing module 300 is used to determine the problem type based on the abnormal data, determine the problem handler based on the problem type, and send the abnormal data to the mobile terminal corresponding to the problem handler when the evaluation result includes abnormal data;

[0149] Figure 3 This is a block diagram of the abnormal data processing.

[0150] Specifically, abnormal data is obtained; the problem type corresponding to the abnormal data is determined; a problem evaluation model corresponding to the problem type is obtained; the abnormal data is input into the corresponding problem evaluation model to obtain an evaluation result, and the evaluation result includes whether the abnormal data constitutes a problem to be solved.

[0151] In this embodiment, the problem type corresponding to the abnormal data is determined by NLP semantic analysis technology. The problem assessment model is a trained neural network model. The abnormal data is input into the problem assessment model to determine whether the abnormal data constitutes a problem to be solved. For example, if the current dosage of a certain medicine exceeds 1g, it does not constitute a problem to be solved. If the current dosage exceeds 10g, it constitutes a problem to be solved.

[0152] Table 10 is a table of pending issues

[0153] Table 10

[0154]

[0155]

[0156] When abnormal data is determined to be a problem to be solved, the weight value of the problem type corresponding to the problem to be solved is obtained; the abnormal score is determined based on the abnormal data corresponding to the problem to be solved; the alarm level is determined based on the abnormal score and the weight value; the alarm method is determined based on the alarm level; and the abnormal data is sent to the mobile terminal corresponding to the problem handler based on the alarm method.

[0157] In this embodiment, each question type corresponds to a corresponding weight value, each abnormal data corresponds to a corresponding abnormal interval, and each abnormal interval corresponds to a corresponding abnormal score. In this embodiment, the difference between each abnormal data and the maximum value of the preset number is calculated to determine the abnormal interval to which the difference belongs, thereby determining the total abnormal value, which is the product of the abnormal score and the corresponding weight.

[0158] The alarm level is determined by the abnormal total value, wherein the abnormal total value is divided into multiple alarm intervals, each alarm interval corresponds to an alarm level, and when the abnormal total value is obtained, the alarm interval to which the abnormal total value belongs is determined, thereby determining the alarm level.

[0159] It is particularly noted that each problem type corresponds to a corresponding problem handler. When there is a problem to be solved, the problem will be sent to the mobile terminal of the corresponding problem handler so that the problem handler can solve it in time.

[0160] In this embodiment, the alarm levels are divided into level 1 alarm level, level 2 alarm level and level 3 alarm level, among which level 3 alarm level is the highest alarm level.

[0161] Level 1 warning: the data slightly exceeds the safety range, or there is a potential compatibility problem, but has not yet reached a dangerous level. Alarm methods: prompts, log records, etc. Alarm content: briefly describe the problem and provide recommended operations or inspection steps. Problem handlers: ordinary users or data entry personnel. Level 2 warning level: the data obviously exceeds the safety range, or possible incompatibility is detected, which requires attention. Alarm method: pop-up prompts, emails or internal message notifications. Alarm content: describe the problem in detail, clearly point out the potential risks, and require the recipient to take further action. Problem handlers: mid-level managers, pharmacists or users with specific roles; Level 3 warning level: the data seriously exceeds the safety range, or clear incompatibility is detected, which may pose a threat to patient safety. Alarm methods: forced interruption of operation, emergency phone notifications, SMS notifications, eye-catching system module prompts. Alarm content: urgently explain the severity of the problem and possible consequences, and require immediate corrective measures. Problem handlers: senior managers, medical experts, system administrators or emergency response teams.

[0162] The way to send pending issues to the issue handler is to set up access control lists (ACLs) and role-based access controls (RBACs), pre-define different roles such as data owners and managers, and the permissions corresponding to each role. These permissions determine what types of issues the role can handle.

[0163] The Chinese medicine formula data management system used for bone clinical research also includes a problem solution determination module, which is specifically used to: obtain solution information for the problem to be solved; input the problem to be solved and the solution information corresponding to the problem to be solved into the verification model to obtain the verification result, and the verification result includes a match and a mismatch; when the verification result is a match, the status of the problem to be solved is changed to solved.

[0164] In this embodiment, when the server obtains solution information of the problem to be solved, the solution information is sent to the problem solution determination module for verification.

[0165] Among them, data collection can be carried out through the Adaptive Verification Engine (AVE): collect multi-dimensional data related to the problem to be solved, such as system logs, performance indicators, etc., use machine learning technology to extract data features, identify key indicators related to the solution of the problem to be solved, and build an adaptive verification model based on historical verification data and expert knowledge to obtain a trained verification model. The problem to be solved and the solution information corresponding to the problem to be solved are input into the verification model to automatically determine whether the problem to be solved has been solved. For unresolved problems to be solved, experts can also make manual judgments. When it is finally determined that the problem to be solved has not been successfully solved, the corresponding problem to be solved will be sent to the mobile terminal corresponding to the problem handler again, so that the problem handler can handle it again.

[0166] It should be noted that new verification cases and expert decision-making results are incorporated into the expert knowledge base in real time to continuously optimize the verification model.

[0167] The report generation module 400 is used to generate a quality assessment report based on the assessment results and the abnormal data processing information of the problem handler.

[0168] Table 11 is the quality assessment report

[0169] Table 11

[0170]

[0171]

[0172] The report generation module is also specifically used to: determine whether the preset period has been reached; if so, obtain all abnormal data; calculate the problem proportion of each problem type based on the abnormal data; and display the problem proportion.

[0173] Table 12 shows the proportion of question types

[0174] Table 12

[0175]

[0176] The preset period may be one week or one month, and there is no specific limitation on this.

[0177] In this embodiment, statistics can also be collected on the qualified rate of medicinal materials, the qualified rate of relevant data, the correct rate of compatibility ratios, and the accuracy of medicinal material preparation to generate corresponding tables, which are not listed one by one here.

[0178] The Chinese medicine formula data management system used for bone clinical research also includes a treatment effect tracking module, which is specifically used to: obtain the current treatment information of the patient corresponding to the Chinese medicine formula; query whether there is historical treatment information matching the current treatment information in the patient database; if so, generate comparison information of the current treatment information and historical patient information and display the comparison information to track the treatment effect of the patient.

[0179] Table 13 is the treatment observation table

[0180] Table 13

[0181]

[0182]

[0183] In this embodiment, the treatment observation table is compared with the historical treatment observation table of historical patients to obtain control information to determine the treatment effect of the same course of treatment on different current patients, thereby analyzing the treatment situation of the current patient. The treatment observation tables of different treatment cycles of the same patient can also be compared at the same time to further analyze the treatment situation of the current patient.

[0184] In this embodiment, various examination indicators during the treatment of the current patient may also be compared with various examination indicators of historical users to analyze the treatment effect of the current patient.

[0185] The Chinese medicine formula data management system used for bone clinical research also has a data query module, which is specifically used to: obtain user query information; query in the database based on the query information, obtain query results, and display the query results.

[0186] Figure 4 This is a structural block diagram of the interaction between the server and the user terminal.

[0187] The user finally needs to enter the query page of the server through the login module. The login module is used to verify the user's authority and determine whether the user can access the server. When the user has the authority, the server will feedback the navigation page to the user. The navigation page includes but is not limited to the data query module and the report query module. In this embodiment, the doctor can query information according to his needs and enter the corresponding query information in the corresponding query module to obtain the data he wants to query. The server sends the query results to the user, wherein the query information includes but is not limited to the quality of Chinese medicine formula, the quality of medicinal materials, the quality of data, the Chinese medicine formula corresponding to a certain patient, the quality assessment report, the handling of unresolved issues, etc., wherein the query results can be displayed in the form of tables, charts, etc., and the data in the query results can also be filtered, sorted, etc., and the reports can also be exported and analyzed, without specific limitation.

[0188] The terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not expressly listed, or also includes elements inherent to such process, method, article, or apparatus.

[0189] The above description is only a preferred embodiment of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of application involved in the present application is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the aforementioned application concept. For example, the above features are replaced with (but not limited to) technical features with similar functions applied in the present application.

Claims

1. A Chinese medicine formula data management system for bone clinical research, characterized in that: include: A data acquisition module is used to acquire relevant data of the traditional Chinese medicine formula, wherein the relevant data includes the name of the medicinal material of the traditional Chinese medicine formula, the current dosage of each medicinal material, the current processing information and the current source; A data evaluation module, used for comparing each of the relevant data with the corresponding quality evaluation conditions to obtain an evaluation result, wherein the evaluation result includes abnormal data; An abnormal data processing module, configured to, when the evaluation result includes abnormal data, determine a problem type based on the abnormal data, determine a problem handler based on the problem type, and send the abnormal data to a mobile terminal corresponding to the problem handler; A report generation module is used to generate a quality assessment report based on the assessment result and the abnormal data processing information of the problem handler.

2. A Chinese medicine formula data management system for bone clinical research according to claim 1, characterized in that: The quality assessment conditions include the quality assessment conditions of the traditional Chinese medicine formula, and the data assessment module is specifically used for: Obtaining patient information corresponding to the traditional Chinese medicine formula; Determine the preset dosage of each medicinal material and conflicting medicinal materials in the traditional Chinese medicine formula based on the patient information; Obtain the incompatible medicinal materials of each medicinal material in the traditional Chinese medicine formula; In the case where the conflicting medicinal materials and / or the incompatible medicinal materials exist in the traditional Chinese medicine formula, generating first abnormal data; In the case where the current usage does not meet the preset usage, generating second abnormal data; In the case where there are repeated names of medicinal materials and / or incorrect names of medicinal materials in the traditional Chinese medicine formula, generating third abnormal data; A Chinese medicine formula quality assessment table is generated based on the first abnormal data, the second abnormal data and the third abnormal data.

3. A Chinese medicine formula data management system for bone clinical research according to claim 1, characterized in that: The quality assessment conditions include medicinal material quality assessment conditions, and the data assessment module is specifically used to: Obtaining evaluation indicators corresponding to each medicinal material, wherein the evaluation indicators include properties, identification items and content determination of the medicinal material; When the evaluation index does not meet the medicinal material quality evaluation condition, generating fourth abnormal data; Acquire preset processing information of each medicinal material, and generate fifth abnormal data when the current processing information does not conform to the preset processing information; Obtaining a preset source of each medicinal material, and generating sixth abnormal data when the current source does not conform to the preset source; A medicinal material quality assessment table is generated based on the fourth abnormal data, the fifth abnormal data and the sixth abnormal data.

4. A Chinese medicine formula data management system for bone clinical research according to claim 1, characterized in that: The quality assessment condition includes a data quality assessment condition, and the data assessment module is specifically used to: If the relevant data does not meet the data quality assessment conditions, generating seventh abnormal data, the data quality assessment conditions including data consistency, data standardization, data integrity, data timeliness and data traceability; A data quality assessment table is generated based on the seventh abnormal data.

5. A Chinese medicine formula data management system for bone clinical research according to claim 1, characterized in that: It also includes a data processing module, which is used for, after obtaining the relevant data of the traditional Chinese medicine formula, including: Preprocessing the relevant data of the traditional Chinese medicine formula, wherein the preprocessing includes cleaning the relevant data; The preprocessed relevant data is sent to the data evaluation module.

6. A Chinese medicine formula data management system for bone clinical research according to claim 1, characterized in that: The abnormal data processing module is specifically used for: Acquiring the abnormal data; Determine the problem type corresponding to the abnormal data; Obtaining a question evaluation model corresponding to the question type; The abnormal data is input into a corresponding problem evaluation model to obtain an evaluation result, wherein the evaluation result includes whether the abnormal data constitutes a problem to be solved.

7. A Chinese medicine formula data management system for bone clinical research according to claim 6, characterized in that: When the evaluation result includes a problem to be solved, the abnormal data processing module is further specifically used to: Obtain a weight value of the problem type corresponding to the problem to be solved; Determine anomaly scores based on abnormal data corresponding to the problem to be solved; Determine an alarm level based on the abnormality score and the weight value; Determining an alarm mode based on the alarm level; The abnormal data is sent to the mobile terminal corresponding to the problem handler based on the alarm method.

8. A Chinese medicine formula data management system for bone clinical research according to claim 6 or 7, characterized in that: It also includes a problem solving determination module, which is specifically used to: Obtaining solution information for the problem to be solved; Inputting the problem to be solved and the solution information corresponding to the problem to be solved into a verification model to obtain a verification result, wherein the verification result includes a match and a mismatch; When the verification result is a match, the status of the unresolved issue is changed to resolved.

9. A Chinese medicine formula data management system for bone clinical research according to claim 1, characterized in that: It also includes a treatment effect tracking module, which is specifically used to: Obtain the current treatment information of the patient corresponding to the Chinese medicine formula; querying the patient database whether there is historical treatment information that matches the current treatment information; If yes, then generating comparison information between the current treatment information and the historical patient information; The control information is displayed to track the treatment effect of the patient.

10. A Chinese medicine formula data management system for bone clinical research according to claim 1, characterized in that: The report generation module is also specifically used for: Determine whether the preset period has been reached; If yes, then obtain all the abnormal data; Calculate the problem proportion of each problem type based on the abnormal data; The proportion of the problems is displayed.

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