A clinical pharmacy intelligent management method based on the Internet

Abstract

The present invention discloses an Internet-based clinical pharmacy intelligent management method, which relates to the field of pharmaceutical intelligent management and comprises the following steps: setting a clinical drug management platform, acquiring basic pharmaceutical information, and constructing a pharmaceutical knowledge graph; acquiring basic patient information, and having medical staff generate electronic prescription information according to the basic patient information; analyzing and processing the generated electronic prescription information based on the pharmaceutical knowledge graph to determine whether it is abnormal; acquiring comprehensive drug evaluation indicators and medical monitoring data corresponding to the verified electronic prescription information, and determining whether to generate early warning information according to the data information; presetting a drug monitoring cycle, acquiring patient tolerance evaluation data according to the medical monitoring data within the drug monitoring cycle, setting personalized adjustment information according to the data, and performing feedback processing on the medical account according to the generated data information; the present invention improves the flexibility of clinical pharmacy management to a certain extent.

Description

Technical Field

[0001] The present invention relates to the field of intelligent pharmacy management, and in particular to an Internet-based clinical pharmacy intelligent management method. Background Art

[0002] With the continuous development of science and technology, the application scope of the Internet is constantly expanding. In the field of medicine, it is also constantly developing. The intelligent management of temporary pharmacy can effectively improve the quality, safety and efficiency of medication for medical staff in the process of work, thereby promoting the continuous development of clinical pharmacy.

[0003] The clinical pharmacy intelligent management method, system, equipment and medium with publication number CN116759060B proposes a clinical pharmacy intelligent management method, system, equipment and medium with integrated service management. The system includes: a patient information management module, which displays patient information, patient labels and patient drug treatment details; the pharmacy ward round management module, which receives the pharmacist's ward round instructions, enters the ward round work interface according to the ward round instructions, and displays the pharmacy service information of each patient; the performance management module summarizes the pharmacist's various ward round records and compiles statistics on the pharmacy service performance of each pharmacist. Through the technical solution of this application, it is possible to intelligently, informationally and meticulously manage the patient's basic information, disease characteristics and full-process drug treatment information, and realize intelligent performance management of pharmacists' work, etc., to ensure the efficient and rapid implementation of clinical pharmacy practice with integrated service management;

[0004] However, there may be mutual influences between different drugs in the electronic prescription information generated by the medical account, and it is impossible to flexibly adjust according to the corresponding conditions of different patients, which brings inconvenience to the patient's clinical drug management process; therefore, how to improve the system flexibility in the process of clinical pharmacy intelligent management of patients is a problem we need to solve. To this end, a clinical pharmacy intelligent management method based on the Internet is provided. Summary of the invention

[0005] In order to solve the above technical problems, the purpose of the present invention is to provide an Internet-based clinical pharmacy intelligent management method.

[0006] The purpose of the present invention can be achieved by the following technical solution: A clinical pharmacy intelligent management method based on the Internet, comprising the following steps:

[0007] Step S1: Setting up a clinical drug management platform, obtaining basic pharmaceutical information, analyzing and processing the basic pharmaceutical information, obtaining drug attribute information and drug association information, and constructing a pharmaceutical knowledge graph based on the obtained data information;

[0008] Step S2: a medical diagnosis terminal is set up in the clinical drug management platform, basic information of the patient is obtained through the medical diagnosis terminal, and the medical staff generates electronic prescription information based on the basic information of the patient;

[0009] Step S3: Map the obtained electronic prescription information to the pharmaceutical knowledge graph to generate a prescription mapping image, and determine whether the electronic prescription information has any abnormality based on the prescription mapping image; obtain the patient's corresponding allergy verification information, determine whether the electronic prescription information without abnormality is suitable for the corresponding patient, and determine whether the electronic prescription information has passed the verification based on the judgment result;

[0010] Step S4: Analyze and process the verified electronic prescription information, obtain comprehensive drug evaluation indicators, monitor the drug efficacy of patients, obtain medical monitoring data, compare and analyze the obtained medical monitoring data and comprehensive drug evaluation indicators, and determine whether to generate warning information based on the comparison and analysis results;

[0011] Step S5: Preset a drug monitoring cycle, obtain the tolerance evaluation data of the corresponding patient within the drug monitoring cycle, set personalized adjustment information according to the tolerance evaluation data, and send it to the corresponding medical account. The medical staff will perform feedback processing based on the received warning information and personalized adjustment information.

[0012] Furthermore, the process of setting up a clinical drug management platform and constructing a pharmaceutical knowledge graph includes:

[0013] A clinical drug management platform is provided, wherein a drug entry window is provided in the clinical drug management platform, wherein the drug entry window is used to retrieve and obtain basic drug information based on big data, wherein the basic drug information includes drug name, drug properties, allergy information, drug interaction, and drug reaction information;

[0014] The obtained basic drug information is analyzed and processed to obtain all drug attribute information in the clinical drug management platform, a classification system structure is constructed according to the drug attribute information, and drug attribute nodes are set according to the corresponding drug attribute information. The relationship between each drug attribute node is obtained according to the drug interaction, and a pharmaceutical knowledge graph is constructed according to the obtained relationship. The pharmaceutical knowledge graph includes the interaction relationship between different basic drug information, and the interaction relationship includes synergistic relationship, antagonistic relationship and independent relationship.

[0015] Furthermore, the process of generating electronic prescription information includes:

[0016] The clinical drug management platform is provided with a medical diagnosis terminal, in which corresponding medical and nursing accounts and patient accounts are stored, and medical staff diagnose and process corresponding patient accounts based on the corresponding medical and nursing accounts in the medical diagnosis terminal;

[0017] The patient submits basic patient information through the patient account, wherein the basic patient information includes personal information of the patient, medical registration information and symptom information of the patient; the basic patient information is sent to the medical care account according to the medical registration information included therein;

[0018] Medical staff obtain the corresponding patient account based on the basic patient information received in the medical account, diagnose the corresponding patient, and generate the patient diagnosis result and corresponding electronic prescription information based on the diagnosis result. The electronic prescription information includes the corresponding drug name and medication standard; the electronic prescription information and patient diagnosis result corresponding to the corresponding patient account are integrated, marked and stored.

[0019] Furthermore, the process of determining whether there is an abnormality in the electronic prescription information includes:

[0020] The clinical drug management platform is provided with a drug processing terminal, which obtains the electronic prescription information corresponding to the corresponding patient account, analyzes and processes it, and determines whether there is any abnormality in the electronic prescription information;

[0021] The pharmaceutical knowledge graph obtained in the platform is stored in the drug processing terminal, and the drug name corresponding to the electronic prescription information corresponding to the patient account is mapped to the pharmaceutical knowledge graph, and a prescription mapping image corresponding to the electronic prescription information corresponding to the patient account is obtained, and the prescription mapping image includes the drug attributes corresponding to the corresponding drug names and the interaction relationship between them;

[0022] Combining the attributes of each drug in the prescription mapping image without replacement, recording each combination obtained by the combination without replacement as a drug combination subset, and counting the obtained drug combination subset as a drug combination set; judging whether there is a drug combination subset corresponding to the antagonistic relationship among the interaction relationships between the corresponding drugs in each drug combination subset in the drug combination set, if not, the electronic prescription information passes the verification, if so, further analyzing and processing the drug attributes in the drug combination subset;

[0023] The drug processing terminal obtains the drug names and patient diagnosis results in the drug combination subset, and an intelligent review panel is set up, which includes medical experts. The drug combination subsets and patient diagnosis results with antagonistic relationships are sent to the intelligent review panel, which are verified by the medical experts. If the verification is passed, there is no abnormality in the electronic prescription information. If it fails, there is an abnormality.

[0024] Furthermore, the process of performing allergy verification on the patient, obtaining allergy verification information, and checking whether the electronic prescription information without abnormality matches the allergy verification information includes:

[0025] The drug processing terminal obtains electronic prescription information without abnormalities, obtains drug names contained in the electronic prescription information, and obtains allergy information corresponding to each drug name; obtains a corresponding patient account according to the electronic prescription information, performs allergy verification on the patient according to the obtained patient account and allergies, and obtains allergy verification information;

[0026] The drug processing terminal analyzes and processes the allergy verification information obtained from the corresponding patient. When the allergy information of all drug names in the electronic prescription information matches the corresponding allergy verification information, the electronic prescription information passes the verification. If there is an unsuccessful match, the electronic prescription information fails the verification. The drug processing terminal generates prescription exception information for the electronic prescription information that fails the verification or has abnormalities, and sends it to the clinical drug management platform.

[0027] Furthermore, the process of obtaining drug evaluation indicators and medical monitoring data and determining whether to generate warning information based on the comparison results includes:

[0028] Obtain electronic prescription information corresponding to the patient account, obtain drug reaction information corresponding to each drug name in the electronic prescription information, extract regular features from the obtained drug reaction information, and obtain drug reaction data;

[0029] The clinical drug management platform stores drug reaction data corresponding to corresponding drug names, obtains historical drug reaction data sets corresponding to historical electronic prescription information based on a big data algorithm; constructs a drug evaluation model based on the historical drug reaction data sets based on a deep learning algorithm; inputs the drug reaction data in the obtained electronic prescription information into the drug evaluation model to obtain a comprehensive drug evaluation index;

[0030] The clinical drug management platform is provided with a medical monitoring terminal, which is used to obtain the comprehensive drug evaluation index corresponding to the electronic prescription information of the patient corresponding to the corresponding patient account, and to perform medical monitoring on the patient to obtain medical monitoring data, and to determine whether the obtained medical monitoring data meets the comprehensive drug evaluation index. If so, no warning information is generated; if not, monitoring warning information is generated.

[0031] Furthermore, the process of setting the personalized adjustment information includes:

[0032] Preset a drug monitoring cycle, obtain the medical monitoring data and comprehensive drug evaluation index of the corresponding patient account within a unit time, generate a monitoring change curve and an evaluation change curve corresponding to the medical monitoring data and the comprehensive drug evaluation index data per unit time, respectively, obtain the corresponding deviation data according to the monitoring change curve and the evaluation change curve, preset a deviation threshold, obtain the absolute value of the obtained deviation data, compare and analyze the obtained absolute value and the deviation threshold, when the absolute value is greater than the deviation threshold, obtain the sign of the deviation data corresponding to the absolute value, when the sign is positive, mark it as an acceptance abnormality, and when the sign is negative, mark it as a tolerance abnormality; according to the unit time proportion corresponding to the acceptance abnormality and the tolerance abnormality, record the obtained unit time proportion as personalized evaluation data, preset an adjustment threshold, and generate personalized adjustment information when the personalized evaluation data is greater than the adjustment threshold.

[0033] Furthermore, the medical account corresponding to the clinical drug management platform is based on the prescription abnormality information, monitoring and early warning information and personalized adjustment information corresponding to the patient account, and the medical staff makes feedback adjustments based on the received data information.

[0034] Compared with the prior art, the present invention has the following beneficial effects:

[0035] By analyzing and processing the corresponding drug information in the electronic prescription information, verifying the electronic prescription information itself, matching the corresponding drug allergy information in the electronic prescription information with the corresponding patient, judging whether the corresponding electronic prescription information is abnormal based on the matching result, generating prescription abnormality information for the abnormal electronic prescription information, and having medical staff make feedback and adjustments based on the prescription abnormality information, and analyzing and processing the electronic prescription information based on the patient's corresponding allergy verification information, the accuracy and security of the electronic prescription information are improved to a certain extent;

[0036] By setting a drug monitoring cycle, relevant medical monitoring data within the drug monitoring cycle is obtained, and a comparative analysis is performed between the medical monitoring data corresponding to a unit time within the drug monitoring cycle and the comprehensive drug evaluation index data, the tolerance evaluation data of the corresponding patient is determined, and personalized adjustment information is generated for the electronic prescription information based on the tolerance evaluation data. Medical staff adjust the electronic prescription information corresponding to the patient based on the personalized adjustment information, thereby improving the flexibility of the drug management process to a certain extent. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 This is a schematic diagram of an Internet-based clinical pharmacy intelligent management method according to an embodiment of the present application. DETAILED DESCRIPTION

[0038] like Figure 1As shown, a clinical pharmacy intelligent management method based on the Internet includes the following steps:

[0039] Step S1: Setting up a clinical drug management platform, obtaining basic pharmaceutical information, analyzing and processing the basic pharmaceutical information, obtaining drug attribute information and drug association information, and constructing a pharmaceutical knowledge graph based on the obtained data information;

[0040] Step S2: a medical diagnosis terminal is set up in the clinical drug management platform, basic information of the patient is obtained through the medical diagnosis terminal, and the medical staff generates electronic prescription information based on the basic information of the patient;

[0041] Step S3: Map the obtained electronic prescription information to the pharmaceutical knowledge graph to generate a prescription mapping image, and determine whether the electronic prescription information has any abnormality based on the prescription mapping image; obtain the patient's corresponding allergy verification information, determine whether the electronic prescription information without abnormality is suitable for the corresponding patient, and determine whether the electronic prescription information has passed the verification based on the judgment result;

[0042] Step S4: Analyze and process the verified electronic prescription information, obtain comprehensive drug evaluation indicators, monitor the drug efficacy of patients, obtain medical monitoring data, compare and analyze the obtained medical monitoring data and comprehensive drug evaluation indicators, and determine whether to generate warning information based on the comparison and analysis results;

[0043] Step S5: Preset a drug monitoring cycle, obtain the tolerance evaluation data of the corresponding patient within the drug monitoring cycle, set personalized adjustment information according to the tolerance evaluation data, and send it to the corresponding medical account. The medical staff will perform feedback processing based on the received warning information and personalized adjustment information.

[0044] It should be further explained that, in the specific implementation process, the process of setting up a clinical drug management platform, obtaining basic pharmaceutical information, analyzing and processing the basic pharmaceutical information, obtaining drug attribute information and drug association information, and constructing a pharmaceutical knowledge graph based on the obtained data information includes:

[0045] A clinical drug management platform is set up, and a drug entry window is set up in the clinical drug management platform. The drug entry window is used to obtain basic drug information based on big data retrieval, and the basic drug information includes drug name, drug attribute, allergy information, drug interaction and drug reaction information; the drug attribute is the drug's mechanism of action, drug's therapeutic range and therapeutic effect; the allergy information is the allergen information corresponding to the drug name; the drug interaction is the interaction relationship between different drug names;

[0046] The obtained basic drug information is classified and processed to obtain all drug attribute information in the clinical drug management platform, a classification system structure is constructed according to the drug attribute information, and drug attribute nodes are set according to the corresponding drug attribute information, and the relationship between each drug attribute node is obtained according to the drug interaction, and a pharmaceutical knowledge graph is constructed according to the obtained relationship, wherein the pharmaceutical knowledge graph includes the interaction relationship between different basic drug information, and the interaction relationship includes a synergistic relationship, an antagonistic relationship and an independent relationship; the synergistic relationship is a mutually promoting relationship, the antagonistic relationship is a mutually opposing relationship, and the independent relationship is a mutually independent relationship.

[0047] It should be further explained that, in the specific implementation process, the process of setting up a medical diagnosis terminal in the clinical drug management platform, obtaining basic information of the patient through the medical diagnosis terminal, and generating electronic prescription information by medical staff based on the basic information of the patient includes:

[0048] The clinical drug management platform is provided with a medical diagnosis terminal, in which corresponding medical and nursing accounts and patient accounts are stored, and medical staff diagnose and process corresponding patient accounts based on the corresponding medical and nursing accounts in the medical diagnosis terminal;

[0049] The patient submits basic patient information through the patient account, wherein the basic patient information includes personal information of the patient, medical registration information and symptom information of the patient; the basic patient information is sent to the medical care account according to the medical registration information included therein;

[0050] Medical staff obtain the corresponding patient account based on the basic patient information received in the medical account, diagnose the corresponding patient, and generate the patient diagnosis result and corresponding electronic prescription information based on the diagnosis result. The electronic prescription information includes the corresponding drug name and medication standard; the electronic prescription information and patient diagnosis result corresponding to the corresponding patient account are integrated, marked and stored.

[0051] It should be further explained that, in the specific implementation process, the obtained electronic prescription information is mapped to the pharmaceutical knowledge graph to generate a prescription mapping image, and whether the electronic prescription information is abnormal is determined according to the prescription mapping image; the allergy verification information corresponding to the patient is obtained, and whether the electronic prescription information without abnormality is suitable for the corresponding patient is determined according to the judgment result. The process of determining whether the electronic prescription information has passed the verification includes:

[0052] The clinical drug management platform is provided with a drug processing terminal, which obtains the electronic prescription information corresponding to the corresponding patient account, analyzes and processes it, and determines whether there is any abnormality in the electronic prescription information;

[0053] The pharmaceutical knowledge graph obtained in the platform is stored in the drug processing terminal, and the drug name corresponding to the electronic prescription information corresponding to the patient account is mapped to the pharmaceutical knowledge graph, and a prescription mapping image corresponding to the electronic prescription information corresponding to the patient account is obtained, and the prescription mapping image includes the drug attributes corresponding to the corresponding drug names and the interaction relationship between them;

[0054] Combining the attributes of each drug in the prescription mapping image without replacement, recording each combination obtained by the combination without replacement as a drug combination subset, and counting the obtained drug combination subset as a drug combination set; judging whether there is a drug combination subset corresponding to the antagonistic relationship among the interaction relationships between the corresponding drugs in each drug combination subset in the drug combination set, if not, the electronic prescription information passes the verification, if so, further analyzing and processing the drug attributes in the drug combination subset;

[0055] The drug processing terminal obtains the drug names and patient diagnosis results in the drug combination subset, and an intelligent review panel is set up, which includes medical experts. The drug combination subsets and patient diagnosis results with antagonistic relationships are sent to the intelligent review panel, which are verified by the medical experts to determine whether there is an impact between the corresponding drugs, and generate verification results based on the mutual results; if the verification is passed, there is no abnormality in the electronic prescription information, and if it fails, there is an abnormality.

[0056] The drug processing terminal obtains electronic prescription information without abnormalities, obtains drug names contained in the electronic prescription information, and obtains allergy information corresponding to each drug name; obtains a corresponding patient account according to the electronic prescription information, performs allergy verification on the patient according to the obtained patient account and allergies, and obtains allergy verification information;

[0057] The drug processing terminal analyzes and processes the allergy verification information obtained from the corresponding patient. When the allergy information of all drug names in the electronic prescription information matches the corresponding allergy verification information, the electronic prescription information passes the verification. If there is an unsuccessful match, the electronic prescription information fails the verification. The drug processing terminal generates prescription exception information for the electronic prescription information that fails the verification or has abnormalities, and sends it to the clinical drug management platform.

[0058] It should be further explained that, in the specific implementation process, the process of analyzing and processing the verified electronic prescription information, obtaining the comprehensive drug evaluation index, monitoring the drug efficacy of the patient, obtaining the medical monitoring data, and comparing and analyzing the obtained medical monitoring data with the comprehensive drug evaluation index, and determining whether to generate warning information according to the comparative analysis results includes:

[0059] Obtain electronic prescription information corresponding to the patient account, obtain drug reaction information corresponding to each drug name in the electronic prescription information, extract regular features from the obtained drug reaction information, and obtain drug reaction data;

[0060] The clinical drug management platform stores drug reaction data corresponding to corresponding drug names, obtains historical drug reaction data sets corresponding to historical electronic prescription information based on a big data algorithm; constructs a drug evaluation model based on the historical drug reaction data sets based on a deep learning algorithm; inputs the drug reaction data in the obtained electronic prescription information into the drug evaluation model to obtain a comprehensive drug evaluation index;

[0061] The clinical drug management platform is provided with a medical monitoring terminal, which is used to obtain the comprehensive drug evaluation index corresponding to the electronic prescription information of the patient corresponding to the corresponding patient account, and to perform medical monitoring on the patient to obtain medical monitoring data, and to determine whether the obtained medical monitoring data meets the comprehensive drug evaluation index. If so, no warning information is generated; if not, monitoring warning information is generated.

[0062] It should be further explained that, in the specific implementation process, the preset drug monitoring cycle, obtaining the tolerance evaluation data of the corresponding patient within the drug monitoring cycle, setting the personalized adjustment information according to the tolerance evaluation data, and sending it to the corresponding medical account, the medical staff performs feedback processing according to the received warning information and personalized adjustment information, and the process includes:

[0063] Preset a drug monitoring cycle, obtain the medical monitoring data and comprehensive drug evaluation index of the corresponding patient account in a unit time, generate a monitoring change curve and an evaluation change curve corresponding to the medical monitoring data and the comprehensive drug evaluation index data in a unit time respectively, obtain the corresponding deviation data by subtracting the evaluation change curve in the corresponding unit time from the monitoring change curve, preset a deviation threshold, obtain the absolute value of the obtained deviation data, compare and analyze the obtained absolute value and the deviation threshold, and when the absolute value is greater than the deviation threshold, obtain the sign of the deviation data corresponding to the absolute value, when the sign is positive, mark it as acceptance abnormality, and when the sign is negative, mark it as tolerance abnormality; according to the unit time proportion corresponding to the acceptance abnormality and the tolerance abnormality, and record the obtained unit time proportion as personalized evaluation data, preset an adjustment threshold, and when the personalized evaluation data is greater than the adjustment threshold, generate personalized adjustment information, the personalized adjustment information includes the corresponding patient's reaction to the drug effect during the drug use process; generate adjustment suggestions for the corresponding drug dosage in the electronic prescription information according to the drug effect reaction;

[0064] The medical account corresponding to the clinical drug management platform is based on the prescription abnormality information, monitoring and early warning information and personalized adjustment information corresponding to the patient account, and the medical staff makes feedback adjustments based on the received data information.

[0065] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A clinical pharmacy intelligent management method based on the Internet, characterized in that: The following steps are involved: Step S1: Setting up a clinical drug management platform, obtaining basic pharmaceutical information, analyzing and processing the basic pharmaceutical information, obtaining drug attribute information and drug association information, and constructing a pharmaceutical knowledge graph based on the obtained data information; Step S2: a medical diagnosis terminal is set up in the clinical drug management platform, basic information of the patient is obtained through the medical diagnosis terminal, and the medical staff generates electronic prescription information based on the basic information of the patient; Step S3: Map the obtained electronic prescription information to the pharmaceutical knowledge graph to generate a prescription mapping image, and determine whether the electronic prescription information has any abnormality based on the prescription mapping image; obtain the patient's corresponding allergy verification information, determine whether the electronic prescription information without abnormality is suitable for the corresponding patient, and determine whether the electronic prescription information has passed the verification based on the judgment result; Step S4: Analyze and process the verified electronic prescription information, obtain comprehensive drug evaluation indicators, monitor the drug efficacy of patients, obtain medical monitoring data, compare and analyze the obtained medical monitoring data and comprehensive drug evaluation indicators, and determine whether to generate warning information based on the comparison and analysis results; Step S5: Preset a drug monitoring cycle, obtain the tolerance evaluation data of the corresponding patient within the drug monitoring cycle, set personalized adjustment information according to the tolerance evaluation data, and send it to the corresponding medical account. The medical staff will perform feedback processing according to the received warning information and personalized adjustment information; The process of setting up a clinical drug management platform and building a pharmaceutical knowledge graph includes: A clinical drug management platform is provided, wherein a drug entry window is provided in the clinical drug management platform, wherein the drug entry window is used to retrieve and obtain basic drug information based on big data, wherein the basic drug information includes drug name, drug properties, allergy information, drug interaction, and drug reaction information; Analyze and process the obtained basic drug information, obtain all drug attribute information in the clinical drug management platform, build a classification system structure according to the drug attribute information, set drug attribute nodes according to the corresponding drug attribute information, obtain the mutual relationship between each drug attribute node according to the drug interaction, and build a pharmaceutical knowledge graph according to the obtained mutual relationship, wherein the pharmaceutical knowledge graph includes the interaction relationship between different drug names, and the interaction relationship includes synergistic relationship, antagonistic relationship and independent relationship; The process of determining whether there is an abnormality in electronic prescription information includes: The clinical drug management platform is provided with a drug processing terminal, which obtains the electronic prescription information corresponding to the corresponding patient account, analyzes and processes it, and determines whether there is any abnormality in the electronic prescription information; The pharmaceutical knowledge graph obtained in the platform is stored in the drug processing terminal, and the drug name corresponding to the electronic prescription information corresponding to the patient account is mapped to the pharmaceutical knowledge graph, and a prescription mapping image corresponding to the electronic prescription information corresponding to the patient account is obtained, and the prescription mapping image includes the interaction relationship between the drug attributes corresponding to the drug name; Combining the drugs in the prescription mapping image without replacement according to the drug attributes, recording the combinations obtained without replacement as drug combination subsets, and counting the obtained drug combination subsets as drug combination sets; judging whether there is a drug combination subset corresponding to the antagonistic relationship according to the interaction relationship between the corresponding drugs in each drug combination subset in the drug combination set, if not, the electronic prescription information passes the verification, if so, further analyzing and processing the drug attributes in the drug combination subset; The drug processing terminal obtains the drug names and patient diagnosis results in the drug combination subset, wherein an intelligent review panel is provided, and the intelligent review panel includes medical experts. The drug combination subsets with antagonistic relationships and the patient diagnosis results are sent to the intelligent review panel, and the medical experts verify them. If the verification is passed, the electronic prescription information is normal, and if it is not passed, it is abnormal; The process of obtaining drug evaluation indicators and medical monitoring data and determining whether to generate warning information based on the comparison results includes: Obtain electronic prescription information corresponding to the patient account, obtain drug reaction information corresponding to each drug name in the electronic prescription information, extract regular features from the obtained drug reaction information, and obtain drug reaction data; The clinical drug management platform stores drug reaction data corresponding to corresponding drug names, obtains historical drug reaction data sets corresponding to historical electronic prescription information based on a big data algorithm; constructs a drug evaluation model based on the historical drug reaction data sets based on a deep learning algorithm; inputs the drug reaction data in the obtained electronic prescription information into the drug evaluation model to obtain a comprehensive drug evaluation index; The clinical drug management platform is provided with a medical monitoring terminal, which is used to obtain the comprehensive drug evaluation index corresponding to the electronic prescription information of the patient corresponding to the patient account, and to perform medical monitoring on the patient, obtain medical monitoring data, and determine whether the obtained medical monitoring data meets the comprehensive drug evaluation index. If so, no warning information is generated, and if not, monitoring warning information is generated; The process of setting up personalization information includes: Preset a drug monitoring cycle, obtain the medical monitoring data and comprehensive drug evaluation index of the corresponding patient account within a unit time, generate a monitoring change curve and an evaluation change curve corresponding to the medical monitoring data and the comprehensive drug evaluation index data per unit time, respectively, obtain the corresponding deviation data according to the monitoring change curve and the evaluation change curve, preset a deviation threshold, obtain the absolute value of the obtained deviation data, compare and analyze the obtained absolute value and the deviation threshold, when the absolute value is greater than the deviation threshold, obtain the sign of the deviation data corresponding to the absolute value, when the sign is positive, mark it as an acceptance abnormality, and when the sign is negative, mark it as a tolerance abnormality; according to the unit time proportion corresponding to the acceptance abnormality and the tolerance abnormality, record the obtained unit time proportion as personalized evaluation data, preset an adjustment threshold, and generate personalized adjustment information when the personalized evaluation data is greater than the adjustment threshold.

2. According to claim 1, a clinical pharmacy intelligent management method based on the Internet is characterized in that: The process of generating electronic prescription information includes: The clinical drug management platform is provided with a medical diagnosis terminal, in which corresponding medical and nursing accounts and patient accounts are stored, and medical staff diagnose and process corresponding patient accounts based on the corresponding medical and nursing accounts in the medical diagnosis terminal; The patient submits basic patient information through the patient account, wherein the basic patient information includes personal information of the patient, medical registration information and symptom information of the patient; the basic patient information is sent to the medical care account according to the medical registration information included therein; Medical staff obtain the corresponding patient account based on the basic patient information received in the medical account, diagnose the corresponding patient, and generate the patient diagnosis result and corresponding electronic prescription information based on the diagnosis result. The electronic prescription information includes the corresponding drug name and medication standard; the electronic prescription information and patient diagnosis result corresponding to the corresponding patient account are integrated, marked and stored.

3. According to claim 2, a clinical pharmacy intelligent management method based on the Internet is characterized in that: The process of performing allergy verification on the patient, obtaining allergy verification information, and matching the electronic prescription information without abnormalities with the allergy verification information includes: The drug processing terminal obtains electronic prescription information without abnormalities, obtains drug names contained in the electronic prescription information, and obtains allergy information corresponding to each drug name; obtains a corresponding patient account according to the electronic prescription information, performs allergy verification on the patient according to the obtained patient account and allergy information, and obtains allergy verification information; The drug processing terminal analyzes and processes the allergy verification information obtained from the corresponding patient. When the allergy information of all drug names in the electronic prescription information matches the corresponding allergy verification information, the electronic prescription information passes the verification. If there is an unsuccessful match, the electronic prescription information fails the verification. The drug processing terminal generates prescription exception information for the electronic prescription information that fails the verification or has abnormalities, and sends it to the clinical drug management platform.

4. According to claim 3, a clinical pharmacy intelligent management method based on the Internet is characterized in that: The medical account corresponding to the clinical drug management platform is based on the prescription abnormality information, monitoring and early warning information and personalized adjustment information corresponding to the patient account, and the medical staff makes feedback adjustments based on the received data information.

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