CN112233745A

CN112233745A - Method, system and equipment for intelligently recommending antimicrobial drugs

Info

Publication number: CN112233745A
Application number: CN202011114164.9A
Authority: CN
Inventors: 不公告发明人
Original assignee: Individual
Current assignee: Individual
Priority date: 2020-10-18
Filing date: 2020-10-18
Publication date: 2021-01-15

Abstract

The invention discloses a method, a system and equipment for intelligently recommending antimicrobial drugs, wherein an antimicrobial drug list is obtained by acquiring the information of microorganisms of a patient needing treatment/prevention; optimizing a list of antimicrobial drugs by sensitivity analysis and rational compliance analysis; suitable antimicrobial drugs are recommended. By the method, the system and the equipment for intelligently recommending the antimicrobial drugs, the condition that the antimicrobial drugs are unreasonably and unconformity in use due to the reasons of insufficient information of the antimicrobial drugs, insufficient individual information of patients or human errors can be avoided, the effective management of the antimicrobial drugs can be realized for users, the use effectiveness of the antimicrobial drugs can be improved, and the related risks of the antimicrobial drugs in the aspects of safety, economy, suitability and the like can be reduced.

Description

Method, system and equipment for intelligently recommending antimicrobial drugs

Technical Field

The invention relates to the technical field of intelligent medical information processing, in particular to a method, a system and equipment for intelligently recommending antimicrobial drugs.

Background

Along with the development of society, the improvement of technology, the continuous emergence of a large number of antimicrobial drugs, the clinical application is increasingly wide, and the phenomenon of abuse of the antimicrobial drugs is rare. Due to unreasonable application, not only is huge waste of resources caused, and social burden and adverse drug reactions are increased, but also bacterial drug resistance frequently occurs, and great confusion is brought to treatment of infectious diseases. Whether the antimicrobial drugs are reasonably and directly related to effective treatment of diseases, reasonable distribution of medical resources, safety and health of patients and the like is the key for guaranteeing medical quality, controlling unreasonable medical expenses and maintaining rights and interests of patients.

An ideal antimicrobial drug for clinical use would be one that has a high selectivity of action against pathogenic microorganisms that cause disease in the patient, without other undesirable or minor damage to the patient. The selective action on pathogenic microorganisms is very important for clinical safe medication. In recent years, many new and effective antimicrobial drugs and their rational application rules have been mastered and successfully applied to clinical application through pharmacodynamic, pharmacokinetic and clinical pharmacological studies of various antimicrobial drugs.

When a doctor selects an antimicrobial drug for a patient, the antimicrobial drug sensitive to pathogenic microorganisms is selected based on information of the pathogenic microorganisms, and the antimicrobial drug effective for the patient is selected by considering factors such as administration routes, administration sites, contraindications, adverse reactions, potential safety hazards and use limitations of various antimicrobial drugs and the like in combination with individualized information of the patient, so that the antimicrobial drug possibly harmful to the patient is excluded. Patient medical insurance conditions and economic payment capabilities should also be considered, as well as the suitability of antimicrobial drugs. Only by taking the above factors closely related to the antimicrobial drugs into consideration, the optimal target can be achieved, and the benefit of the patient can be fully secured.

In the process of actually selecting and analyzing antimicrobial drugs, doctors and pharmacists are usually based on the information such as drug indications and clinical experience of the drug specifications, and personalized drug selection and evaluation are difficult to be performed according to the specific actual conditions of each patient due to factors such as information acquisition limitation, workload and time limitation. Meanwhile, the patient is influenced by a plurality of factors in the process of using the medicine, and the phenomena of low efficiency, uncontrollable error rate and the like are inevitably generated only by the memory and manual analysis of professionals. Particularly in time critical treatments where the patient is not fully informed of the full extent of the infection, measures are required to control the condition or prevent the infection at the first time, often based on the clinical experience of the physician, and risks associated with antimicrobial drug use are more likely to arise. The rationality analysis of the conventional medicine use only compares the indications of the medicine, and deep analysis is not carried out according to the clinical practical situation of a patient to judge whether the medicine meets the practical use condition, so that errors in medicine selection can be ignored. Therefore, an intelligent recommendation method for antimicrobial drug use is urgently needed, and comprehensive analysis and recommendation are performed on the aspects of safety, effectiveness, economy, suitability and the like of antimicrobial drugs based on technical data such as drug specifications, prescription sets, relevant guidelines, relevant regulations and the like, so that the method is an important method for guaranteeing reasonable compliance of antimicrobial drug use of patients. Especially, with the development and application of modern information technology, the appearance of intelligent medical analysis systems makes it possible to comprehensively grasp massive medical data and patient information, and will gradually play a great role in ensuring the reasonable and compliant use of antimicrobial drugs for patients.

Disclosure of Invention

The main purposes of the invention are: aiming at the condition that clinically, the antimicrobial medicament is often selected when the complete information of the infection or possible infection microorganism of a patient is not completely mastered, so that the use of the antimicrobial medicament possibly has related risks caused by unreasonable non-compliance phenomena in the aspects of effectiveness, safety, economy, suitability and the like, the method, the system and the equipment for intelligently recommending the antimicrobial medicament are provided, and the suitable antimicrobial medicament is intelligently recommended, so that medical personnel and patients are helped to avoid unreasonable non-compliance antimicrobial medicaments, the effectiveness of the use of the antimicrobial medicament is improved, and the related risks of the antimicrobial medicament in the aspects of safety, economy, suitability and the like are reduced.

To achieve the above object, the present invention provides a method for intelligent recommendation of antimicrobial drugs, comprising:

establishing an antimicrobial drug use database;

obtaining relevant information that a patient needs treatment/needs prevention;

obtaining information on the microorganisms of the patient in need of treatment/prevention through relevant information on the patient in need of treatment/prevention;

obtaining a list of antimicrobial drugs from information on the microorganisms that the patient is in need of treatment/prevention;

optimizing a list of antimicrobial drugs by sensitivity analysis;

optimizing the antimicrobial drug list by reasonable compliance analysis of antimicrobial drug use;

recommending antimicrobial drugs in the optimized antimicrobial drug list.

A method for intelligent recommendation of antimicrobial drug as described above, said database of antimicrobial drug use comprising correspondence of disease information/prevention information with microorganisms; the correspondence of microorganisms to antimicrobial drugs; information on the susceptibility of the antimicrobial to microorganisms; information and rules regarding the rational and compliance of antimicrobial drug use; at least one of the effects of the antimicrobial drug on the patient and the associated measures that need to be taken.

A method for intelligent recommendation of antimicrobial agents as described above, said analysis of rational compliance for antimicrobial agent use being by obtaining information on alternative antimicrobial agents; acquiring actual information of relevant elements of antimicrobial drug use of a patient; and (3) the information of the antimicrobial drug and the actual information of the relevant elements of the antimicrobial drug use of the patient are compared with relevant information and rules in an antimicrobial drug use database in a calculation mode, and the rationality and the compliance of the antimicrobial drug use of the patient are analyzed.

The method for intelligently recommending the antimicrobial drugs comprises the following steps of: at least one of rules relating to applicability, contraindications, cautious/cautious, interaction, allergy, time of use, method of use, dosage form, combination, repeat use, adverse reaction, readiness/protection, suitability/comfort/compliance, medical insurance/welfare, economic regulation, administrative regulation.

The method for intelligently recommending the antimicrobial drugs further comprises recommending the usage and the dosage of the antimicrobial drugs.

A method for intelligent antimicrobial drug recommendation as described above, the method further comprising recommending an associated monitoring regimen for antimicrobial drug use.

A method for intelligent antimicrobial drug recommendation as described above, the method further comprising: under the condition of various disease information/prevention information, according to the possibility of infection caused by various microorganisms under the condition, the degree of harm of infection caused by various microorganisms to patients under the condition and the emergency degree of infection caused by various microorganisms under the condition on the aspect of time, the grades/scores corresponding to the possibility of infection caused by various microorganisms under the condition, the degree of harm and the emergency degree are respectively set, and the relative weights of the possibility, the degree of harm and the emergency degree under the condition can be set according to the actual conditions, so that when the microorganisms needing to be treated/prevented of patients are analyzed, the comprehensive grades/scores of the microorganisms needing to be treated/required to be prevented under the condition can be calculated according to the grades/scores corresponding to the possibility of infection caused by related microorganisms, the degree of harm, the emergency degree and the relative weights, in order to analyze the level of necessity or the overall prioritization of the various microorganisms/types that need to be treated/prevented under the conditions.

A method for intelligent antimicrobial drug recommendation as described above, the method further comprising: under various use conditions, the analysis results of the antimicrobial drugs in various analysis items obtained by analyzing the reasonable compliance of the antimicrobial drugs are respectively set with corresponding grades/scores, and the relative weights of the analysis items can be set according to actual conditions, so that the comprehensive grades/scores of the drugs can be calculated according to the grades/scores of the drugs in the analysis items and the relative weights of the analysis items, and the comprehensive recommendation results or comprehensive priority ranking of the antimicrobial drugs under the conditions can be provided for intelligent recommendation of the antimicrobial drugs, including comparison among related antimicrobial drugs.

A method for intelligent antimicrobial drug recommendation as described above, the method further comprising: if the incomplete information of the use condition of the related medicine is generated in the antimicrobial medicine recommending process, so that the medicine use information required by certain analysis items is lacked, one of the treatment measures of ignoring, reminding and forcing is adopted according to the weight of the analysis items and the specific situation of the importance of the lacked information.

A method for intelligent antimicrobial drug recommendation as described above, the method further comprising: according to the new information obtained in the process of using the antimicrobial medicine, including the clinical effect of the antimicrobial medicine, whether the used antimicrobial medicine is suitable or not is evaluated, and if the evaluation result is not suitable, the method can be combined with the new information to re-carry out the intelligent recommendation of the antimicrobial medicine.

The invention also provides a system for intelligent recommendation of antimicrobial drugs, which comprises:

a database unit for storing an antimicrobial drug use database;

a patient need information acquisition unit for acquiring relevant information that a patient needs treatment/needs prevention;

a microorganism analysis unit for analyzing information on microorganisms of a patient in need of treatment/prevention;

an antimicrobial drug list generation unit for generating a patient antimicrobial drug list;

a sensitivity analysis unit for optimizing the antimicrobial drug list by sensitivity analysis;

a rational compliance analysis unit for optimizing the list of antimicrobial drugs by a rational compliance analysis;

an intelligent recommendation unit for recommending a suitable antimicrobial drug;

the patient need information acquisition unit acquires relevant information of treatment/prevention need of a patient, the microorganism analysis unit acquires the microorganism information of treatment/prevention need of the patient through analysis of the relevant information of treatment/prevention need of the patient, the antimicrobial medicine list generation unit acquires a corresponding antimicrobial medicine list through the microorganism information of treatment/prevention need of the patient, the sensitivity analysis unit optimizes the antimicrobial medicine list through analysis of medicine sensitivity, the reasonable compliance analysis unit optimizes the antimicrobial medicine list through analysis of reasonable compliance of medicine use, and the intelligent recommendation unit recommends a proper antimicrobial medicine.

The invention also provides an intelligent antimicrobial drug recommendation device, which comprises:

a database module for storing an antimicrobial drug use database;

the patient demand information acquisition module is used for acquiring relevant information that the patient needs treatment/needs prevention;

a microorganism analysis module for analyzing microorganism information of a patient in need of treatment/prevention;

an antimicrobial drug list generation module to generate a patient antimicrobial drug list;

a sensitivity analysis module for optimizing a list of antimicrobial drugs by sensitivity analysis;

a rational compliance analysis module for optimizing the list of antimicrobial drugs by a rational compliance analysis;

an intelligent recommendation module for recommending a suitable antimicrobial drug;

the patient demand information acquisition module acquires relevant information of treatment/prevention of a patient, the microorganism analysis module analyzes the relevant information of treatment/prevention of the patient to obtain the microorganism information of treatment/prevention of the patient, the antimicrobial medicine list generation module obtains a corresponding antimicrobial medicine list according to the information of treatment/prevention of the patient, the sensitivity analysis module optimizes the antimicrobial medicine list through the medicine sensitivity analysis, the reasonable compliance analysis module optimizes the antimicrobial medicine list through the reasonable compliance analysis of medicine use, and the intelligent recommendation module recommends a proper antimicrobial medicine.

The invention relates to a method, a system and equipment for intelligently recommending antimicrobial drugs, which are used for analyzing the information of microorganisms of a patient needing treatment/needing prevention by acquiring the relevant information of the patient needing treatment/needing prevention; obtaining a list of antimicrobial drugs by deriving information on the microorganisms that the patient needs treatment/needs prevention; optimizing a list of antimicrobial drugs by sensitivity analysis and rational compliance analysis; suitable antimicrobial drugs are recommended. By the method, the system and the equipment for intelligently recommending the antimicrobial drugs, the condition that the antimicrobial drugs are unreasonably and unconformity in use due to the reasons of insufficient information of the antimicrobial drugs, insufficient individual information of patients or human errors can be avoided, the effective management of the antimicrobial drugs can be realized for users, the use effectiveness of the antimicrobial drugs can be improved, and the related risks of the antimicrobial drugs in the aspects of safety, economy, suitability and the like can be reduced.

Drawings

FIG. 1 is a flow chart of a method for intelligent antimicrobial recommendation in accordance with the present invention.

FIG. 2 is a block diagram of a system for intelligent antimicrobial recommendation in accordance with the present invention.

Fig. 3 is a hardware block diagram of an apparatus for intelligent antimicrobial drug recommendation in accordance with the present invention.

Detailed Description

To further explain the technical means and effects of the present invention adopted to achieve the intended purpose, the following detailed description of the embodiments of the present invention is provided in conjunction with the accompanying drawings and examples.

In the present invention, the patient refers to a person who actually works an antimicrobial drug. Medical personnel refer to those who prescribe and assist a patient in the administration of antimicrobial drugs, such as doctors, pharmacists, nurses, inspectors, reviewers, caregivers, and other related technical personnel. The orders represent important bases for antimicrobial medications, including orders, prescriptions, diagnostic books, test orders, laboratory orders, requisition orders, orders for execution, and the like.

The microorganism to be treated of the patient refers to the microorganism which is possibly/definitely diagnosed in the patient and needs to be treated according to disease information such as relevant indexes, relevant symptoms, relevant diagnosis, relevant operations, relevant operation, population information, drug use, infection environment/season, diet/work/study/exercise/birth information, relevant examination/test/detection results and the like of the patient.

The microorganism to be prevented in a patient refers to a microorganism which is analyzed based on the patient's age, diagnosis, symptoms, exposure history, physical condition, past medical history, environment, surgery, trauma, examination/test results, epidemic, season, climate conditions, and the like, and which is likely to cause infection in the patient and which is to be prevented to avoid infection.

Pathogenic microorganisms include: bacteria, fungi, viruses, spirochetes, mycoplasma, chlamydia, rickettsia, parasites (protozoa, helminth medical insects, etc.), and the like, which can cause human diseases.

Antimicrobial drugs include: antimicrobial agents such as antibacterial/antifungal agents, antiviral agents, anti-trichomonal/protozoan agents, anti-mycoplasma/chlamydia/rickettsia agents, etc.

A first embodiment of the present invention is described with reference to fig. 1. FIG. 1 is a flow chart of a method for intelligent antimicrobial recommendation in accordance with the present invention. As shown in the figure, the intelligent antimicrobial drug recommendation method comprises the following steps:

step 1: establishing antimicrobial drug use databases

The antimicrobial drug use database includes the correspondence of disease information/prevention information to microorganisms, the correspondence of microorganisms to antimicrobial drugs, information on the susceptibility of antimicrobial drugs to microorganisms, information and rules regarding the rational and compliance of antimicrobial drug use, the effect of antimicrobial drug use on patients, and the measures to be taken. The method specifically comprises various related element attributes, values/ranges/calculation methods/sources/limiting conditions/exclusion conditions of the various related element attributes, and interrelations/interactions/interconversion/rules/calculation methods among various/various groups/various types of element attributes.

The correspondence of disease information to microorganisms in the antimicrobial drug use database includes: relevant indexes, relevant symptoms, relevant diagnoses, relevant operations, population information, drug use, infection environment/season, diet/work/study/exercise/fertility information, relevant examination/detection results and the like, and the range of microorganisms/combination of microorganisms causing infection. Specifically, the range of possible microorganisms causing infection under different disease information conditions, and the magnitude of the possibility of various microorganisms within the possible range, and the degree of harm to the patient and the degree of urgency in terms of time for infection caused by various microorganisms under the disease information conditions may be included.

The correspondence of the prevention-related information to the microorganisms in the antimicrobial use database includes: the age, diagnosis, symptoms, history of exposure, physical condition, past medical history, environment, surgery, trauma, examination/test results, epidemic, season, climate condition, and the like of the patient are correlated with the range of microorganisms/combination of microorganisms to be prevented. Specifically, the range of microorganisms to be prevented under the condition of different preventive information, and the possible range of the possibility of various microorganisms, and the degree of danger to the patient and the urgency in terms of time for infection caused by various microorganisms under the condition of the preventive information may be included.

The correspondence of the microorganisms to the antimicrobial drugs in the antimicrobial drug use database includes: antimicrobial drugs and their antimicrobial/microbe-inhibiting spectra, etc., are the range of microbes that various antimicrobial drugs can kill or inhibit. The antimicrobial drug can be a single drug, or a drug group which is used in combination with two or more drugs clinically needed to achieve the effect of treating/preventing microbial infection, such as a beta-lactamase inhibitor used in combination with penicillin, cilastatin used in combination with imipenem, etc., a tetradrug for treating helicobacter pylori, a cocktail therapy for treating AIDS, etc. The drug group can be a compound preparation or a combination of two or more drugs, and for the drug combination frequently used in clinic, the antimicrobial drug use database can also comprise the relevant information and rules of the drug combination in addition to the relevant information and rules of the single drug.

The antimicrobial drug use database may also include the correspondence of microorganisms to antimicrobial drugs for treatment/prevention, i.e., effective drugs or combinations of drugs used against a particular range of microorganisms/combinations of microorganisms in need of treatment or prevention. A microorganism may have multiple antimicrobial drugs that can be treated/prevented, and if a range or combination of specific microorganisms that need treatment/need prevention is one, there may also be multiple drugs or drug combinations that are effective.

Where a single drug/single drug group is unable to fulfill the clinical microbial therapeutic/prophylactic needs of a patient, two or more drugs/drug groups may be used in combination to fulfill the clinical need. When the clinical microbe treatment/prevention range of the patient is beyond the indication range of the single medicine/single medicine group, the medicines/medicine groups can be combined according to the indication range of each antimicrobial medicine/medicine group in the antimicrobial medicine use database according to the microbe range clinically needing treatment/prevention of the patient.

The antimicrobial drug use database may also include information on the sensitivity of the antimicrobial drug to microorganisms, including sensitivity of various types/kinds of microorganisms to the antimicrobial drug in different regions, hospitals, departments and wards.

The database for antimicrobial drug use according to the present invention is based on various medical specifications, prescription sets, pharmacopoeias, clinical treatment routes, guidelines, clinical standards, medical norms, industry norms, textbooks, medical device use/operation specifications, medical instrument use specifications, surgical operation norms, examination/inspection norms, expert consensus, conference disciplines and consensus inside the conjunctions/hospitals/departments, treatises, monographs, inventions, scientific inferences, experimental reports, test reports, data analysis reports, test reports, examination reports, approval documents, relevant regulations, relevant guidance opinions, relevant policies, relevant regimes, relevant catalogs, relevant literature data, relevant price regulations, relevant price catalogues, relevant invitation results, relevant object price policies, relevant insurance payment terms, relevant insurance payment protocols, medical treatment norms, industry norms, medical treatment norms, medical device use/operation specifications, medical device use/operation, The system comprises a relevant bidding result, a relevant purchasing catalogue, an evaluation/inspection result/monitoring report/safety report of a relevant doctor/nurse/checker/pharmacist/nursing staff/patient/salesperson, a method based on evidence-based medicine, probability speculation based on the existing data, a database established by sources such as various weights/various levels/various sequencing and the like needing to be set manually, a database established based on information reforming/information analysis/big data analysis, a database established by artificial intelligence deep learning, a database obtained by data mining analysis, rules and indexes manually set after data statistical analysis/artificial intelligence deep learning, or the relevant information and rules which are continuously accumulated and refined in the disease treatment process by the clinician and the pharmacist. The antimicrobial drug use database may also be a database built by a combination of the above methods. The database can be updated according to versions or can be updated in real time according to actual data. The antimicrobial drug use database may be a relational database or a non-relational database; the database can be a table database, a graph database or a knowledge map database; the related data may be structured data or unstructured data.

Relevant rules for the rationality and compliance of antimicrobial drug use in the antimicrobial drug use database include: at least one of rules relating to applicability, contraindications, cautious/cautious, interaction, allergy, time of use, method of use, dosage form, drug combination, repeat use, adverse reactions, preparation/protective measures, suitability/comfort/compliance, medical insurance/welfare, economic regulation, administrative regulation, and other rules relating to the rationality and compliance of antimicrobial use.

Relevant information and rules regarding the rational and compliance of antimicrobial use in the database of antimicrobial use include: various conditions/requirements/attributes/values of use of the antimicrobial drug, such as manufacturer, specification, dosage form, daily frequency, time interval, daily dose, method of use, sensitivity, route of administration, site of administration, etc. Further comprising: basic information of a patient, population information, genetic-related information, disease information, medical history information, medication history information, medical device use history information, contact history, exposure history, operation items, symptoms, indices, body position, operation object, operation method, operation target, physiological development information, marriage and care information, physiological condition, psychological/intellectual condition, life/work/study/sport/entertainment information, environmental information, drug/medical device/health product/cosmetic use-related information, medical insurance-related information, medical expense payment ability/will, medical institution information, medical staff information, medical device/consumable/device/instrument/drug/implant required for antimicrobial drugs, cost of antimicrobial drugs, care, health care, medical expense payment ability/will, Risk assessment, staging, anesthesia, respiration, hemostasis, infection prevention, pain, emergency measures, index control, preparation and requirements, training, indications/indications, contraindications, related protection and emergency, nutritional support, doctor's level and authority, ancillary software, imagery and other information of each element.

In the present invention, the crowd information may include specific crowd information such as a specific age, gender, development status, marital status, fertility status, work status, learning status, exercise status, life status, physiological status, psychological status, genetic status, physical status, and immunological status. The genetically related information includes: genetic information, genetic information mutation/change information, genetic defect information, genetic medical history, family medical history, and the like. The disease information includes: disease, diagnosis, symptom type, symptom, index, pulse condition, tongue diagnosis, etc. The medical history information includes medical history, surgical history, radiotherapy history, chemotherapy history, psychotherapy history, physical therapy history, immunotherapy history, gene therapy history and the like. The medication history information includes: medication history, drug efficacy, adverse drug reactions, drug allergy history, drug tolerance and the like. The medical instrument use history information includes: medical instrument use history, medical instrument use curative effect, medical instrument use adverse reaction, medical instrument tolerance and the like. The operation items include operation, examination, test, detection, operation, health promotion, rehabilitation, psychotherapy, radiotherapy, chemotherapy, physiotherapy, thermotherapy, phototherapy, magnetotherapy, electrotherapy, cryotherapy, electromagnetic therapy, phonotherapy, immunotherapy, gene therapy, weight reduction, body building, shaping, and skin caring. The physiological development information includes: growth and development conditions, physiological stages, fertility and the like. The marriage and childbirth information comprises marriage history, birth history, sexual life and the like. The physiological conditions include: physical performance, nutritional status, hearing, vision, taste, smell, touch, respiration, motor coordination, digestion, absorption, excretion, sexual function, and the like, and levels of related abilities. Psychological/intellectual status includes: psychological disorders, mood, feeling, intelligence, attention, memory, perception, communication ability, expression ability, and the like. Life/work/learning/sports/entertainment information includes: diet, work and rest, sleep, work, study, entertainment, sports and other related information. The environment information includes: microorganism distribution, exposure to population, temperature, humidity, air pressure, season, altitude, air quality, air diffusion conditions, topography, oxygen content, light, ultraviolet, radiation, electromagnetic waves, noise, epidemics, vegetation and other information. The medical insurance-related information includes medical welfare, medical insurance, business insurance, and the like. The medical institution information includes medical institution level, specialty, attribute, region, department, etc. The medical staff information includes: age, gender, job title, professional qualification, professional training, protective measures and the like. The implant comprises: grafts, cultures, gene vectors, implant chips, implant devices/apparatus, and the like. Nutritional support includes: detecting water, heat, protein, trace elements, sugar, salt, fat, carbohydrate, minerals, amino acids, vitamins, content standard, and supplement dosage.

The rules regarding the rationality and compliance of antimicrobial drug use in the database of antimicrobial drug use may be established for individual drugs or drug classifications, or may include portions established for groups of drugs each requiring combination.

The rules in the database for antimicrobial drug use also include the condition that the combination of the elements is needed to be effective, the related rules can be defined by the comprehensive conditions after the combination of the elements according to the multi-level and/or non-relation and the relation defined by the related formula, and the related conditions of the related rules and the time dimension can also be included.

Step 2: information is obtained regarding the need for treatment/need for prevention of the patient.

The information that the patient needs to be treated is disease information, such as relevant indexes, relevant symptoms, relevant diagnoses, relevant operations, population information, drug use, infection environment/season, diet/work/study/exercise/birth information, relevant examination/test/detection results, and the like.

The information that the patient needs to prevent is the relevant information of the patient such as age, diagnosis, symptoms, contact history, exposure history, physical condition, past medical history, living habits, environment, operation, trauma, examination/test/detection results, epidemic disease, season, climate condition, and the like.

The related information can be acquired through interfaces with other systems and databases, and can also be manually input.

And establishing different templates of information required to be acquired by disease information/prevention information according to the corresponding relation between the disease information and the microorganisms and the corresponding relation between the prevention related information and the microorganisms in the antimicrobial drug use database, wherein the templates comprise various information items required to be acquired by analyzing target microorganisms under different treatment/prevention scenes, such as an analysis template for preventing infection before neurosurgery, an analysis template for influenza seasonal fever treatment and the like. When the relevant information of the patient needing treatment/needing prevention is obtained, the relevant information is organized according to the information templates needed by the target microorganisms analyzed in different treatment/prevention scenes, and the needed information is obtained. When the acquired information lacks part of project information, processing measures such as ignoring, reminding and supplementing, forced supplementing and the like can be taken according to the specific situation of the importance of the project in the template, and corresponding measures are set in the template.

And step 3: obtaining information on the microorganisms of the patient in need of treatment/prevention through relevant information on the patient in need of treatment/prevention;

antimicrobial drugs have two main uses: treating a disease caused by or accompanied by a microbial infection; preventing possible microbial infections.

The microorganism information needed to be treated by the patient is obtained by analyzing the microorganism needed to be treated by the patient according to the disease information of the patient, such as relevant indexes, relevant symptoms, relevant diagnosis, relevant operations, population information, drug use, infection environment/season, diet/work/study/exercise/fertility information and relevant examination/inspection/detection results. The infection caused by different microorganisms may have certain differences in the infected people, seasons, environment, infected parts, symptoms, manifestations, various indexes of patients, detection/inspection results, etc., and the microorganisms possibly causing the infection of patients can be analyzed according to the data and rules of the antimicrobial drug use database through related information.

The information of the microorganisms needed to be treated by the patient can be obtained based on the analysis of the antimicrobial drug use database, or can be directly obtained from the already-defined information of the microorganisms needed to be treated by the patient, such as the result of the microorganism-related examination. The microbes infected by the patient may be analyzed to obtain a certain microbe or only the range/combination of microbes possibly infected, and the microbes causing infection or the range of microbes possibly infected may be confirmed or narrowed by the relevant indexes, relevant symptoms, relevant diagnoses, relevant operations, crowd information, drug use, infection environment/season, diet/work/study/exercise/fertility information and relevant examination/test/detection results of the patient. For example, when a patient is in hospital and suffers from nosocomial infection, the distribution of microorganisms detected by the hospital, department, ward and equipment or the analysis result of pathogenic microorganisms of nosocomial infection of other patients can be used as an important reference to indicate the microorganisms possibly infected by the patient. Different areas/hospitals/departments/wards/communities and the like, relevant data in the self antimicrobial drug use database can be maintained according to the monitoring and analyzing results. At the same time, under different seasonal/climatic conditions, the relevant target microorganisms from which the patient acquires an infection can also be maintained according to the monitoring and analysis results. The relationship between environmental, climatic, epidemiological, etc. factors and infectious/preventive microorganisms in the database of antimicrobial drug use is based on various statistical analyses and clinical studies.

When the microorganism information of possible infection of the patient is obtained by analyzing the patient based on the antimicrobial drug use database, the relevant information of the patient is obtained by comparing the relevant information of the patient with the antimicrobial drug use database. Or directly acquiring the existing microorganism information of possible infection of the patient, such as the result of microorganism-related examination.

The microorganism information to be prevented of the patient is acquired according to the relevant information of prevention such as age, diagnosis, symptom, contact history, exposure history, physical condition, past medical history, life habits, environment, operation, trauma, examination/inspection/detection result, epidemic disease, season, climate condition and the like of the patient.

Patients often need preventive medication against microbial infections when there is a certain risk of microbial infections or when the occurrence of infections would be a major hazard. Under different conditions, different microorganisms may threaten infection of patients, and different preventive measures are needed to be analyzed according to the relevant information of prevention.

The information of the microorganism to be prevented of the patient can be obtained by analyzing based on an antimicrobial drug use database, or can be directly obtained by the existing information of the microorganism to be prevented of the patient. Likewise, the microorganisms analyzed to be prevented in a patient may also be analyzed for a defined microorganism or only a range of microorganisms/combination of microorganisms.

The disease information/prevention-related information of the patient may include: relevant diagnosis/symptom/index/feeling of the patient and adjustment, examination/test/detection result of the relevant diagnosis/symptom/index/feeling, population information, genetic-related information, medical history information, medication history information, physiological development information, marriage and childbirth information, physiological status, psychological/intellectual status, life/work/study/sport/entertainment information, environmental information, medicine/medical instrument/health product/cosmetic use-related information, and the like of the patient.

The sources from which the disease information/prevention-related information of the patient is obtained may be: advice prescribed by medical staff; patient medical history, electronic medical history, diagnostic reports, examination/test/detection results, monitoring results, assessment reports; patient-related symptoms, sensations, states, physiological functions self-statement; the state and the requirement of the patient for learning, working, living, sports, etc. are self-describing; preset time, season, time of day, interval, period and other information; and the preset ways of monitoring the change of various physiological and pathological indexes and the like.

The intelligent antimicrobial drug recommending method further comprises the following steps: analysis of target microorganism ranking for use of antimicrobial drugs is required under various disease information/prophylactic information conditions. According to factors including but not limited to the possibility of infection caused by various microorganisms under the condition, the degree of harm of infection caused by various microorganisms to patients under the condition, the emergency degree of infection caused by various microorganisms under the condition in terms of time and the like, the grade/score corresponding to the factors such as the possibility of infection caused by various microorganisms under the condition, the degree of harm, the emergency degree and the like is respectively set, and the relative weight of the factors such as the possibility, the degree of harm, the emergency degree and the like under the condition can be set according to the actual situation, so that when the microorganism needing to be treated/prevented of a patient is analyzed, the comprehensive grade/score of the relevant microorganism needing to be treated/required to be prevented under the condition can be calculated according to the grade/score corresponding to the factors such as the possibility of infection caused by the relevant microorganism, the degree of harm, the emergency degree and the like and the relative weight of each factor, in order to analyze the level of necessity or the overall prioritization of the various microorganisms/types that need to be treated/prevented under the conditions. Depending on the actual condition of the patient, disease, drug, other analytical items besides infection likelihood, degree of harm, degree of urgency may be introduced, taking into account the overall level and score of microbial treatment/prevention. The ranking results in a list of the range of microorganisms/combination of microorganisms that need to be treated/prevented. If the microorganism infected by the patient is directly obtained by a laboratory test or the like, the relevant information is directly used. Data on the possibility of infection by various/various microorganisms under the relevant conditions, the degree of harm to the patient and the degree of urgency in terms of time under the conditions, and the like, of infection by various/various microorganisms may be acquired from an antimicrobial drug use database, or may be manually set.

According to the necessity level or comprehensive priority ranking of each microorganism to be treated/prevented under the condition, whether the patient needs to be treated/prevented by using the antimicrobial drug and the range/combination of the microorganisms to be treated/prevented can be judged manually, and whether the patient needs to be treated/prevented by using the antimicrobial drug and the range/combination of the microorganisms to be treated/prevented can be judged intelligently according to the application system of the preset necessity level range or priority range, so that the treatment/prevention of the microorganisms needing to be treated/prevented by using the antimicrobial drug can be carried out according to the judgment. The related necessity level range or priority level range may be set according to related regulations, policies, guidelines, textbooks, clinical routes, national prescriptions, and the like, or may be obtained by analyzing medical big data.

The precondition for the patient to use the antimicrobial drug is that the level of necessity of the microorganism to be treated/prevented reaches or exceeds a set level under the condition of the patient's disease information or prevention-related information. The list of microorganism ranges/microorganism combinations that need to be treated/prevented can be optimized according to different levels of necessity/overall prioritization of the analysis results, including: measures such as exclusion, backward adjustment of the ranking and the like are taken for microorganisms with low necessity level/comprehensive priority ranking in the list of microorganism ranges/microorganism combinations, and measures such as forward adjustment of the ranking and the like can be taken for microorganisms with high comprehensive level/score. The level/score setting can be continuously optimized and adjusted during use.

After information of target microorganisms, which are microorganisms needing treatment/prevention of a patient, is acquired, if antimicrobial use conditions are met, recommendation can be performed by using the intelligent antimicrobial recommendation method. The antimicrobial drug use conditions include conditions for treatment with an antimicrobial drug and conditions for prophylaxis with an antimicrobial drug, and whether treatment with an antimicrobial drug or prophylaxis of a microbial infection can be performed under different conditions is specified. The relevant rule sources may be instructions for the use of antimicrobial drugs, guidelines for the treatment/prevention of microbial diseases, relevant regulations for health administration/medical insurance institutions, and the like.

When the information of the use condition of the relevant medicine of the patient is incomplete, and the relevant element actual information required by an analysis item for treating/preventing microorganisms is lacked, the treatment measures such as ignoring, reminding and supplementing, forced supplementing and the like can be taken according to the weight of the analysis item and the specific situation of the importance of the lacked information.

And 4, step 4: the list of antimicrobial drugs is derived from the information of the microbes that the patient needs treatment/needs prevention.

Based on the information of the microorganism to be treated/prevented, the antimicrobial drug database can analyze the antimicrobial drug capable of treating/preventing the relevant microorganism to obtain the antimicrobial drug list of the patient. The list of antimicrobial drugs is a collection of drugs or drug combinations that are required for clinical microbial treatment/prevention in a patient, and each drug or drug combination that is required for clinical microbial treatment/prevention in a patient is an option in the list.

Where a single drug/single drug group is unable to fulfill the clinical microbial therapeutic/prophylactic needs of a patient, two or more drugs/drug groups may be used in combination to fulfill the clinical need. When the clinical microbe treatment/prevention range of the patient is beyond the indication range of a single medicament/single medicament group, the medicaments/medicament groups can be combined according to the indication range of each antimicrobial medicament/medicament group in the antimicrobial medicament use database according to the microbe range clinically needing treatment/prevention of the patient, and each medicament or medicament group combination meeting the clinical microbe treatment/prevention need of the patient is one option in the antimicrobial medicament list of the patient.

A single microorganism may be treated with multiple drugs/drug groups, and if the patient is in need of treatment/prevention of multiple microorganisms, the antimicrobial drug that the patient may use may also be a combination of multiple drugs/drug groups. The patient antimicrobial drug list may have options for multiple antimicrobial drugs or combinations of multiple antimicrobial drugs for the same microorganism or range of microorganisms.

The antimicrobial drug list may further include usage and dosage of the relevant drugs recommended according to relevant information that the patient needs treatment/needs prevention, information on the microorganisms that the patient needs treatment/needs prevention, and relevant rules on the rationality and compliance of antimicrobial drug use in the antimicrobial drug use database.

And 5: the antimicrobial drug list was optimized by sensitivity analysis.

The antimicrobial drug list is optimized by sensitivity analysis of the drugs in the antimicrobial drug list, and the optimization of the antimicrobial drug list may be to exclude antimicrobial drug options with inappropriate sensitivity or to adjust the ordering of antimicrobial drug options, etc.

Sensitivity analysis is based on the data of the sensitivity of the target microorganisms to the antimicrobial drugs in the list under the current conditions of use of the patient, including the results of the drug susceptibility test, to analyze the sensitivity of the microorganisms causing/likely to cause infection in the patient to the antimicrobial drug/drug group. With the increasing use of antimicrobial drugs, microorganisms exhibit varying degrees of resistance to antimicrobial drugs. For those antimicrobial drugs that are used for longer periods of time and over a wider range of applications, the sensitivity of the microorganism tends to be lower and the therapeutic effect of the antimicrobial drug is poorer. To maintain the effectiveness of the antimicrobial drug, a highly sensitive antimicrobial drug should preferably be selected. If a patient needs to be treated by an antibacterial drug because of being infected by a certain bacterium, the drug used by the patient can be screened through the drug resistance data of the bacterium and each symptomatic antibacterial drug in the hospital, and the drugs with higher drug resistance and without use value under the current condition are eliminated. When the drug option in the patient antimicrobial drug list is a combination of two or more antimicrobial drugs/drug groups, if the sensitivity analysis result of the antimicrobial drugs/drug groups therein is not qualified, the whole of the option may be excluded. The sensitivity data of the microorganism to the antimicrobial drug can include a drug-resistant microorganism detection rate of the target microorganism to the relevant drug in the patient treatment environment.

And (4) analyzing and comparing the results of the drug sensitivity test with the sensitivity relevant rules of the antimicrobial drugs in the antimicrobial drug use database under the current use condition to obtain the condition that the target microorganism is sensitive to the antimicrobial drugs, and optimizing the antimicrobial drug list. If it is confirmed through experiments that the pathogenic microorganism is very sensitive to the A drug, it can be analyzed that the drug A1 having the same pharmacological action as A may also have an effect on the pathogenic microorganism.

Step 6: the list of antimicrobial drugs is optimized by a reasonable compliance analysis of antimicrobial drug use.

A reasonable compliance analysis of antimicrobial drug use is by obtaining information about the antimicrobial drugs in the antimicrobial list; acquiring actual information of relevant elements of antimicrobial drug use of a patient; and (3) the information of the antimicrobial drug and the actual information of the relevant elements of the antimicrobial drug use of the patient are compared with relevant information and rules in an antimicrobial drug use database in a calculation mode, and the rationality and the compliance of the antimicrobial drug use of the patient are analyzed.

Each antimicrobial drug option in the list of antimicrobial drugs may have information for one or more antimicrobial drugs. The list of antimicrobial drugs is optimized according to the results of the analysis by analyzing each antimicrobial drug for its reasonable compliance in use.

The patient antimicrobial drug use-related factor actual information is patient antimicrobial drug use actual information related to the relevant rules in the antimicrobial drug use database. For example, if the contraindication rule of an antimicrobial drug is that the patient has high blood pressure due to taking care of the antimicrobial drug, the fact that whether the patient has high blood pressure is the relevant factor for the antimicrobial drug use of the patient. The actual information of relevant elements of antimicrobial drug use of a patient may include patient disease information, patient personal information, patient drug treatment protocol information, patient other treatment protocol information, patient treatment process related information, and the like.

And (3) analyzing the reasonability and compliance of the use of each medicament in each antimicrobial medicament scheme by calculating and comparing the information of the antimicrobial medicament and the actual information of the relevant elements of the antimicrobial medicament use of the patient with relevant information and rules in an antimicrobial medicament use database. Optimizing the antimicrobial drug list through a reasonably compliant analysis of antimicrobial drug use may be to exclude unsuitable antimicrobial drug options, adjust the ordering of antimicrobial drug options, and the like.

Relevant rules for suitability in the relevant rules for rational and compliance for antimicrobial use in the database of antimicrobial use and elements thereof may include: the suitability of the medicine is reasonable and compliant, the suitability purpose is reasonable and compliant, the indication/suitability condition is reasonable and compliant, the necessity, grade, degree, sequence, effectiveness of the suitability, the suitability evaluation of patients/operators/doctors/pharmacists/nurses/caregivers, various factors influencing the suitability and the relationship between the factors and the suitability, and the like.

In addition to considering the range of microorganisms that antimicrobial drugs can effectively treat/prevent, it is desirable to select appropriate drugs, including pharmaceutical dosage forms, depending on the site of infection/infection-requiring prevention in the patient. Such as: the superficial skin infection can be selected from external drugs, intracranial infection needs to be selected from drugs capable of penetrating blood brain barrier, and the ocular infection needs to be selected from drugs with clean grade conforming to eyes.

The relevant rules for contraindications and their elements may include: the contraindication of the medicine, the contraindication/use condition, the reason of the contraindication of the medicine, the relationship between various factors possibly influencing the contraindication and the contraindication, the guidance and the prompt/warning information of related patients/operators/doctors/nurses/pharmacists/caregivers, the results of the contraindication in the above conditions, the grade, the degree, the sequence and the occurrence rate of the corresponding contraindication, the contraindication related evaluation of the patients/operators/doctors/pharmacists/nurses/caregivers, the discovery and the remedial measures of the contraindication in the above conditions, and the like.

Relevant rules that require caution/attention and their elements may include: the method comprises the following steps of taking a patient, taking a medicine, taking an indication/indication, using a medicine, obtaining the result of taking the medicine, determining the result of taking the medicine, and taking the medicine according to the result of the determination.

The relevant rules of interaction refer to the relevant rules of interaction/interaction of a drug with other drugs, surgery, medical examinations and examinations, diet, health products, cosmetics, operations, etc., i.e. if there is interaction/interaction, then use should be avoided or cautious and care and rescue preparation should be taken especially in the process.

The relevant rules of interaction and their elements may include: the drug and other drugs/medical instruments/examination/operation/chemotherapy/radiotherapy/phototherapy/thermotherapy/magnetotherapy/electrotherapy/electromagnetic therapy/acoustics therapy/immunotherapy/gene therapy/operation/physiotherapy/rehabilitation/health care/sport/psychology intervention/health care product/health care food/cosmetic/diet and other factors or items exist at the same time/are interacted/interacted, and the antimicrobial drug and the related drugs/medical instruments/examination/operation/chemotherapy/radiotherapy/phototherapy/thermotherapy/magnetotherapy/electrotherapy/acoustics therapy/immunotherapy/gene therapy/operation/physiotherapy/rehabilitation/health care/sport/psychology intervention The effect of the respective site/route/method/time of interaction/dosage/time of interaction of the nutraceutical/cosmetic/diet and the like on the above-mentioned interaction/interaction, and the effect that other factors that may have an effect on the above-mentioned interaction/interaction may have on the interaction.

Other factors that may have an effect on the above interactions/interactions include: patient genetic-related factors, lifestyle-related factors, diet-related factors, disease/treatment history-related factors, family medical history, allergy factors, work/learning/exercise/activity-related factors, environment-related factors, physiological/psychological/learning/sleep/exercise/emotion/metabolism/vision/hearing/intelligence/attention/appetite/immunity/growth/development/memory/fertility etc. state/status/level factors, age-related factors, physiological function-related factors, fertility status-related factors, sexual life status-related factors, and other factors and items that may enhance/reduce/alter the above-mentioned interactions/interactions, and the specific way in which these factors and items affect the relevant interactions/interactions, the disease/treatment history-related factors, family medical history, allergy factors, work/learning/exercise/activity-related factors, environment-related factors, age-related factors, physiological function-related factors, influence the result and degree of influence, etc.

The rules relating to interaction may further include: the reasons for the interaction/interaction of the drugs, the guidance/warning information of the relevant patient/operator/doctor/nurse/pharmacist/caregiver, the consequences of the interaction/interaction that may occur, the level, degree, ranking, probability of occurrence, degree of risk/benefit of the interaction/interaction, the evaluation of the relevant interaction/interaction by the patient/operator/doctor/pharmacist/nurse/caregiver, the discovery and remedial action of the interaction/interaction of the situation, etc.

The relevant rules and elements of allergy may include the physicochemical properties and the principle/mechanism of action of drugs that may cause allergic reactions, specific elements including: ingredients, specifications, packages, materials, raw materials, toxicity, odor, electricity, magnetism, light, heat, radiation, irritation, heavy metals, shapes, additives, preservatives, antifreeze agents and the like, and relevant information such as relevant concentration, content, strength, price and the like.

The relevant rules for allergy may also include: the physical constitution, age, sex, height, weight, development related information, birth related information, sexual life related information, genetic related information of the patient, climate/air quality/humidity/season/temperature of the environment, disease/symptom/index/feeling/emotion of the patient, treatment history or treatment plan of the patient, family history/disease history/allergy history/genetic history/regional epidemic history/smoking history of the patient and the like which may possibly have allergy, working condition/learning condition/rest condition/exercise condition/nutritional condition/eating condition/work time/immunity condition of the patient, medicine/operation/chemotherapy/radiotherapy/phototherapy/thermotherapy/magnetotherapy/electrotherapy/magnetotherapy/phonotherapy/immunotherapy/gene therapy and the like The information of concern.

The relevant rules for allergy may also include: the possible manifestations and consequences of allergic reactions under different conditions, the reasons and mechanisms of allergic reactions, the relationship between various factors and allergic reactions that may affect allergic reactions, guidance/warning information of related patients/operators/doctors/nurses/pharmacists/caregivers, the grade, severity, ranking, occurrence probability of allergic reactions, the evaluation of related allergic reactions by patients/operators/doctors/pharmacists/nurses/caregivers, the discovery of related allergic reactions and remedial measures in the above situations, and the like. It is also possible to set the conditions under which the allergy test is to be performed, and if the condition of the patient meets the relevant conditions, the patient needs to go through the allergy test first and the result is negative before the patient can pass the allergy test.

The relevant rules of usage time and its elements may include: the start time, duration, pause time, break time, cycle, frequency, treatment period, treatment interval, treatment course number, onset time, expiration time, and end time of the drug administration. The correlation rules of time may be defined and stored in different time attribute types, and the time-related element attribute types include time element attributes related to natural rhythms such as: year, month, day/night, morning/noon/afternoon/evening/night, season, solar terms, lunar calendar year/month/day, etc.; the time element attributes associated with the time of day are: hours, minutes, hours, etc.; the time element attributes related to the personal work and rest life law are as follows: getting up, before/during/after meal, before sleep; time element attributes associated with a particular condition/symptom/index/psychological state/physiological state/sensation are as follows: body temperature above a certain value, pain, fatigue, vertigo, palpitation, nausea, creatinine clearance above a certain value, blood pressure below a certain value, heart rate above a certain value, emotional depression, feelings of fear, excitement, etc.; treatment-related time element attributes are as follows: one day before a certain examination, 3 hours after a certain operation, when changing a certain medicine, after a certain physical therapy project, etc.; temporal element attributes associated with the age/developmental stage of a patient are as follows: 2 weeks after birth, after eruption of deciduous teeth, after adolescent development, half a year after menopause, climacteric period, etc.; time element attributes associated with a patient's physiological cycle are as follows: first day of menstruation, etc.; time element attributes associated with patient fertility/sexual life are such as: 24 hours after the sexual intercourse of the couple, 3 months before the preparation of pregnancy, 24 weeks of pregnancy, 3 days after the birth, and the like; time element attributes related to patient work/activity/movement/learning are as follows: before sitting on the front of a car, before sitting on a boat, before high-altitude operation, after long-time reading and the like.

The time-related rules may further include: factors that may affect time and their relationship to time of use may also include consequences that may occur from the use of the drug at times not reasonable in the relevant rules and associated remedial actions, and may also include interconversion of time to actual information about relevant factors for antimicrobial drug use in the patient as well as calculations and interconversion of international standard time and time in various time zones.

Relevant rules and their elements of the method of use may include: route, site, time, distance, temperature, environment, condition, equipment/consumables, method of operation, operator requirements, protective conditions/precautions, and related precautions for drug use. The method can also comprise the following steps: the method of use may be influenced by and influence the treatment purpose, applicable population, corresponding indication/indication, corresponding health status evaluation item, corresponding environment, performance, dosage, patient drug/medical device/health product/diet/cosmetic/medical examination and inspection, patient work/study/exercise related information, patient sexual life/work time/genetic information, and the like. Possible consequences of the incorrect administration of the medication and associated remedial measures may also be included.

Relevant rules for usage and its elements may include: the specification, package, dose, quantity, concentration, use method, use range, use duration, definition of medicament use intensity (Defined data sessions, DDD for short), calculation method (DDD is medicament consumption/(number of days of patients receiving the same period) x100), and the like of the medicament, including information that unit/data conversion is required, may further include: the dosage may be influenced by and influence the treatment purpose, applicable population, corresponding indication/indication, corresponding health status evaluation item, corresponding environment, performance, usage, patient drug/medical device/health product/diet/cosmetic/medical examination and inspection, patient work/study/exercise related information, patient sexual life/work time/genetic information, and the like. The method can also comprise the following steps: single dose/dose, single day or other time unit times/frequency, single day or other time unit dose/dose, total single treatment course, total treatment course times, total dose, and like information. The consequences and associated remedial measures that may occur if the medication is not used in the correct amount may also be included.

Relevant rules and their elements for pharmaceutical dosage forms may include: the medicine is in the form of powder, tablets, granules, capsules, solutions, emulsions, suspension sprays, aerosols, powder sprays, external solutions, lotions, liniments, ointments, plasters, pastes, patches, eye drops, nose drops, eye ointments, gargles, sublingual tablets, adhesive patches, film sticking suppositories, aerosols, effervescent tablets, drops, dripping pills and other various dosage forms, and the characteristics, the applicability, the use method and the priority ranking of the dosage forms are such as oral administration, intramuscular injection, intravenous injection and the like.

Relevant rules for drug combination and their components may include: the drug combination has the advantages of applicability, necessity, level, degree, sequencing, effectiveness, danger/benefit degree, patient population information, diet/work/study/exercise/fertility information, use purpose, use condition, drug use intensity, evaluation of patients/medical staff, influence of factors such as type/drug dosage form/manufacturer/price/medical insurance payment condition/taking method/taking time/taking dosage/contraindication/interaction of the drug combination on the drug combination, reasons of drug combination, guidance/warning information of related patients/medical staff, possible consequences of the drug combination, remedial measures and the like.

Relevant rules and elements thereof for repeat administration may include: when the drug is used simultaneously with the drug, there may be repeat drug use, including drug classification and drug/drug classification. Also included are the time of use between drug/drug classifications where repeated administrations may be present, the relationship between the dose of the drug used, the intensity of use, the route of use, the location of use, the frequency of use, the interval between use of the cycle of use, the age/sex/physiological condition/disease/symptom/indicator/etc. of the patient and the repeated administrations, and the associated relationships may include the severity/grade of the repeated administrations, the risk/danger, the preventive measures, the remedial measures, and the consequences, symptoms, indicators, manifestations, sensations of the repeated administrations, and measures to reduce/control the risk of the repeated administrations such as: the medicine is forbidden without indications, unnecessary combination medicine is avoided, blindness is avoided, the treatment course is prolonged, comprehensive treatment is emphasized, and the like.

The relevant rules and elements of adverse reactions may include: the relationship between the information of the disease/population/drug use/environment/season/diet/work/study/exercise/fertility of the patient, the use method/dosage/time/frequency/interval/protective measures of the drug, and the like and the adverse reaction possibly occurring, and the relationship between various factors possibly affecting the adverse reaction and the adverse reaction can also comprise: symptoms/index signals/expression/feeling/severity/harm of adverse reactions, treatment of adverse reactions, a method for preventing adverse reactions, remedial measures after adverse reactions occur, and the like.

Relevant rules and their elements for preparation/protection measures may include: the types of preparation/protection/intervention/remedy/recovery related measures to avoid or reduce the risks and damages that drugs may present, and the levels of consequences and their risks that may occur if preparation/protection measures are not taken according to the relevant rules, and the related remedial measures may also be included.

The relevant rules for suitability/comfort/compliance and elements thereof may include: the comfort, convenience, difficulty of use, difficulty of compliance, aesthetics, shape, size, taste, odor, hand, temperature, hardness, irritation, portability, convenience of storage, etc. of the medicament, as well as methods of adjusting suitability/comfort/compliance, including various ancillary conditions, ancillary measures, ancillary methods, ancillary operations, etc.

The relevant rules for suitability/comfort/compliance may also include: according to the conditions of the age, the sex, the physical condition, the sensitivity, the tolerance of electrical stimulation/magnetic field/pressure/pain, the taste preference, the motor ability, the physical strength, the working/learning/movement/activity/travel rule and characteristic, the work and rest time, the aesthetic requirement, the learning ability, the operation ability, the execution ability and the like of the patient, the weight and the combined calculation method of each item related to the suitability/comfort/compliance are set, and the target setting of the suitability/comfort/compliance of the medicine of the patient is set. The suitability/comfort/compliance association rules may also include methods that require prompting the relevant physician, nurse, pharmacist, patient, caregiver to adjust the respective suitability/comfort/compliance when the target setting is not met.

Relevant rules for medical insurance/welfare and their elements may include: whether the medicine belongs to the medical welfare/medical insurance or business insurance scope and condition, object, ratio, calculation method, amount and the like, and also can include the limitation of relevant constraint terms hospital/department/doctor/nurse and the like, and also can include information of price, single expense, single daily expense, single treatment course expense, total expense and the like. Whether a drug falls within the medical welfare/medical insurance or business insurance scope and conditions include: people, diagnoses, symptoms, symptom types, operations, examinations, operations, projects, rehabilitation, psychotherapy, physical therapy, health care, nursing, accompanying, areas, medical institutions, departments, doctors, drugstores, examination centers, physical examination centers, treatment centers, rehabilitation centers, usage amounts and other elements and the combination of the elements. And relevant constraint terms such as violation behaviors, inspection modes, violation punishment measures and the like.

The rules and elements of economic regulation may include: the cost limits of the single cost, the single daily cost, the single treatment course cost, the total cost, the average times, the average platform/operation, the average people, the average days and the average months of the medicine, the cost limits of different hospitals/departments/doctors/nurses, the cost limits of different diseases/different medicines/different projects/patients and the like, and the economic related indexes of the medicine can be preset according to the actual economic capability and budget of the patient.

Relevant rules and their elements for administration may include: regional regulations/requirements of drugs, regulations/requirements related to drug use strength, regulations/requirements related to drug use level, hospital level regulations/requirements, hospital property related regulations/requirements, department related regulations/requirements, doctor related regulations/requirements, pharmacist related regulations/requirements, patient related regulations/requirements, disease category related regulations/requirements, key monitoring related regulations/requirements, extraordinary warning related regulations/requirements, bidding results, price policy related regulations/requirements, day related regulations/requirements, amount related regulations/requirements, DRGs (disease related classification) related regulations/requirements, clinical pathway related regulations/requirements, and the like. Patient-related prescriptions/requirements include: medical insurance, self-service charge, industrial injury, new agriculture and agriculture, dry insurance, chronic diseases, inconvenient movement, old people, disabled people and the like. The amount-related stipulations/requirements include: whether the system meets the related expense limit such as single disease type payment, total amount prepayment, expense proportion control, single variety purchasing/checking amount limit, type purchasing/checking amount limit and the like.

The intelligent antimicrobial drug recommendation method of the present invention further comprises a method for reminding a patient/operator/doctor/nurse/pharmacist/caregiver, various conditions, risks and detection/discovery thereof that may occur when/after the patient uses the relevant drugs, and related preparation and coping methods, and when a condition is discovered, issuing an alarm, prompting or initiating remedial action.

The method further comprises the following steps: under various use conditions, the analysis results of the antimicrobial drugs in various analysis items are respectively set with corresponding grades/scores according to the reasonable compliance analysis of the antimicrobial drugs, and the relative weights of the analysis items can be set according to actual conditions, so that the comprehensive grades/scores of the drugs can be calculated according to the grades/scores of the drugs in the analysis items and the relative weights of the analysis items, and the comprehensive recommendation results or comprehensive priority ranking can be conveniently given to the intelligent recommendation list of the antimicrobial drugs under the conditions. And a conversion method for calculating the comprehensive grade and the score of the medicine according to the grade and the score of each medicine set by the user service. The various conditions of use of the antimicrobial drug according to the present invention refer to actual information of relevant elements included in the analysis range according to the recommended requirements, and may include various factors of each level such as age, sex, diagnosis, index, symptom, hospital, department, and the like of the patient.

If there is a drug group in the drug options recommended by the antimicrobial drug recommendation list that needs to be used in combination, the drug group as a whole can be involved in a lateral comparison with other drug options in the recommendation list. Under various using conditions, the analysis result of the medicine group in each analysis item obtained by reasonable compliance analysis of the use of the antimicrobial medicine group is set according to the standard consistent with other medicine options, and the relative weight of each analysis item is set, so that the comprehensive grade/score of the medicine group can be calculated according to the grade/score of the medicine group in each analysis item and the relative weight of each analysis item, and the comprehensive recommendation result or comprehensive priority ranking of each antimicrobial medicine/medicine group medicine option in the intelligent recommendation list under the conditions can be given.

The reasonable compliance analysis project referred by the invention can be the analysis project related to the relevant rules of the reasonable compliance in the antimicrobial drug use database, such as: the analysis method comprises the following steps of applicability correlation analysis, taboo correlation analysis, cautious/cautious correlation analysis, interaction correlation analysis, allergy correlation analysis, use time correlation analysis, use method correlation analysis, dosage correlation analysis, pharmaceutical dosage form correlation analysis, drug combination correlation analysis, repeated medication correlation analysis, adverse reaction correlation analysis, preparation/protective measure correlation analysis, suitability/comfort/compliance correlation analysis, medical insurance/welfare correlation analysis, economic management and control correlation analysis, and administration correlation analysis.

The condition for intelligent recommendation of antimicrobial drugs may be that the overall rating/score of the antimicrobial drug is higher than the set rating/score. The antimicrobial drug list can be optimized according to different comprehensive grades/scores of the analysis results, and comprises the following steps: measures such as exclusion, backward adjustment of the ranking and the like are taken for antimicrobial drugs with low comprehensive grade/score in the antimicrobial drug list, and measures such as forward adjustment of the ranking and the like can be taken for antimicrobial drugs with high comprehensive grade/score. The level/score setting can be continuously optimized and adjusted during use. The recommendation result of the antimicrobial intelligent recommendation method can be an optimal antimicrobial suitable for a patient, and also can be that several antimicrobial medicines which are ranked at the top in an antimicrobial medicine list are preferentially recommended according to the preset recommendation quantity.

The specific calculation method of the comprehensive grade/score is as follows:

the analysis items R used by the antimicrobial drugs include m items, such as sensitivity analysis, applicability analysis and the like.

R＝r₁+…+r_m

g_j(X) antimicrobial drug X in analysis item r_jThe level/score to which the result corresponds. Antimicrobial drug X in analytical item r_jThe alignment of the medium assay may yield k results, pr_j1(X) represents antimicrobial agent XAnalysis item r_jThe analysis and comparison are carried out to obtain a set of actual conditions, pr, corresponding to the first analysis result_jk(X) antimicrobial drug X in analysis item r_jAnd analyzing and comparing to obtain a set of actual conditions corresponding to the kth analysis result. The grade/score value corresponding to the first analysis result is set as V_j1The grade/score corresponding to the kth analysis result is set as V_jk. P denotes the actual situation, to which set the result belongs, g_j(X) is equal to the corresponding set level/score.

G (X) represents the overall rating/score for antimicrobial X. T is_jRepresents an analysis item r_jRelative weight of (c).

When the information of the use condition of the antimicrobial drug is incomplete, and the actual information of the relevant elements of the antimicrobial drug required by certain analysis items is lacked, treatment measures such as ignoring, reminding and supplementing, forcing and the like can be taken according to the specific situation of the weight of the analysis items.

The method may also combine sensitivity analysis of drugs in the antimicrobial drug list with reasonable compliance analysis of drug use, together optimizing the antimicrobial drug list: under various use conditions, the analysis results of the antimicrobial drugs in each analysis item containing the sensitivity analysis are respectively set with corresponding grades/scores according to the sensitivity analysis and the reasonable compliance analysis of the antimicrobial drug use, and the relative weights of the analysis items can be set according to actual conditions, so that the comprehensive grade/score of the antimicrobial drugs can be calculated according to the grades/scores of the drugs in each analysis item and the relative weights of the analysis items, and the comprehensive recommendation results or comprehensive priority ranking of the antimicrobial drugs can be provided for the intelligent recommendation of the antimicrobial drugs under the conditions, including the comparison among related antimicrobial drugs. And a conversion method for calculating the comprehensive grade and the score of the medicine according to the grade and the score of each medicine set by the user service.

The grade/score of each analysis item or the combination of the grade/scores of a plurality of analysis items may also be set as a necessary item for different situations of the patient, and if the necessary item does not pass, the antimicrobial drug cannot be recommended. For example: the contraindication of the drug may be set as an essential item, and if there is a contraindication for a certain antimicrobial drug, the recommended result of the item in the recommendation list including the antimicrobial drug is not recommended.

The weight is set according to the importance of the analysis item or the medicine. If a certain analysis item or drug is important, the weight of the analysis item or drug can be set high; if an analysis item or drug is not important, the weight of the analysis item or drug may be set low; if there is no need to consider a certain analysis item or drug at all when calculating the comprehensive level/score of the antimicrobial drug, the weight of the analysis item or drug may be set to 0.

The following is an example of the antimicrobial recommendation for ESBL positive escherichia coli causing acute simple cystitis.

Patient information: the age of 25, the middle of gestation,

symptoms are: frequent, urgent and painful urination, mild tenderness in the suprapubic bladder area.

Etiology diagnosis: escherichia coli.

List of antimicrobial drugs:

1) amoxicillin/clavulanic acid

2) Sulfamethoxazole + trimethoprim

3) Nitrofurantoin

4) Fosfomycin trometamol

Analysis items: applicability, drug sensitivity, contraindication, and economy.

Applicability: sulfamethoxazole and trimethoprim are not suitable for pregnant women, the applicability score is 0, and the scores of the other 3 antimicrobial drugs are 100.

Drug sensitivity: the amoxicillin/clavulanic acid drug resistance is high, the drug sensitivity score is 0, the local escherichia coli drug resistance rate to sulfamethoxazole and trimethoprim is 30%, the drug sensitivity score of sulfamethoxazole and trimethoprim is 30, the nitrofurantoin and fosfomycin tromethamine drug resistance rate is low, and the score is 80.

Contraindications are as follows: has no contraindication, and the four antimicrobial medicines are 100 points.

Economy; amoxicillin/clavulanic acid: 30 yuan, score 70 points, sulfamethoxazole + trimethoprim: 10-membered, score 80 points, nitrofurantoin: 3 yuan, score 90 points, fosfomycin trometamol: 70 yuan, score 50.

Analyzing item weight: applicability is 0.3, drug sensitivity is 0.2, contraindication is 0.4, and economy is 0.1.

The overall score of antimicrobial drugs for 4 options in the recommendation list:

amoxicillin/clavulanic acid 77

Sulfamethoxazole + trimethoprim 54

Nitrofurantoin 95

Fosfomycin trometamol 91

If only one antimicrobial drug is recommended, the highest scoring nitrofurantoin is recommended. If the pre-set score is more than 80 points recommended, the recommended antimicrobial list is: nitrofurantoin, fosfomycin trometamol, nitrofurantoin are listed first.

Different intelligent recommendation models can be correspondingly generated according to the grade/score set by the related medicines according to the analysis result of each analysis item, the weight of each analysis item and the weight of each medicine in the option under various conditions, so that the related intelligent recommendation models can be used/referred under the same/similar conditions, and the setting of the intelligent recommendation models can be continuously optimized and adjusted in the using process.

When the method for intelligently recommending the antimicrobial drugs analyzes the recommendation results of the antimicrobial drugs under certain conditions or ranks the priorities of the drugs, the necessity or priority of treatment/prevention of the microorganism range corresponding to each antimicrobial drug under related conditions can be analyzed together with each analysis item of the antimicrobial drugs, and the comprehensive priority is recommended. For example: carrying out weighted average on related medicines in each antimicrobial medicine option in the recommendation list under certain use conditions according to analysis results obtained by sensitivity analysis and reasonable compliance analysis to obtain the grade/score of the antimicrobial medicine treatment scheme on each reasonable compliance analysis item, and setting relative weight together with analysis items of necessity/priority of infection/prevention of microorganisms such as possibility of causing infection, degree of harm, degree of urgency and the like in the microorganism range corresponding to the antimicrobial drug option under the use condition, so that the comprehensive level and priority of each antimicrobial/antimicrobial recommendation list option can be analyzed according to the level/score of the antimicrobial/antimicrobial recommendation list option on each analysis item and the relative weight of each analysis item.

And 7: recommending the antimicrobial drug of the antimicrobial drug option in the optimized antimicrobial drug list.

For example: when the doctor selects the antimicrobial medicine for the patient, the intelligent recommendation of the antimicrobial medicine can be carried out by the intelligent recommendation method of the antimicrobial medicine. Acquiring disease Information or prevention Information of a patient from HIS (Hospital Information System) or other Information sources, and further acquiring microbial Information of the patient needing treatment/prevention; obtaining a list of antimicrobial drugs from information on the microorganisms that the patient is in need of treatment/prevention; optimizing a list of antimicrobial drugs by sensitivity analysis; optimizing the antimicrobial drug list by reasonable compliance analysis of antimicrobial drug use; recommending antimicrobial drugs in the optimized antimicrobial drug list. The physician selects a particular antimicrobial drug based on the recommended list of antimicrobial drugs, in conjunction with the patient's actual condition. Therefore, the problems that the information of the antimicrobial drug is not completely mastered, or individualized information of a patient is not easy to obtain, and the antimicrobial drug is unreasonably and not in compliance due to human errors and the like in the process of selecting the antimicrobial drug by a doctor are avoided, so that the use effectiveness of the antimicrobial drug is improved, and the related risks of the antimicrobial drug in the aspects of safety, economy, suitability and the like are reduced.

If the recommendation result is two or more than two options in the list, the medicines in the options are combined and are respectively selected by the user.

The intelligent antimicrobial drug recommendation method of the present invention may further comprise a usage amount recommendation for recommending the usage and amount of the antimicrobial drug based on the relevant rules of rationality and compliance for antimicrobial drug usage in the database of antimicrobial drug usage, so that the patient can use the antimicrobial drug according to the correct usage and amount. The recommended usage and amount may include at least one of administration route, usage method, number of uses, amount of use, period of use, interval of use, etc. of the drug.

The intelligent antimicrobial drug recommendation method of the present invention may further comprise recommending relevant monitoring schemes for antimicrobial drug use, for recommending antimicrobial drug monitoring schemes according to relevant rules for monitoring antimicrobial drug use in the antimicrobial drug use database, so as to enable patients to use antimicrobial drugs safely and effectively. The relevant rules come from rules which need to monitor the medication process in various analysis items such as applicability, contraindication, caution/attention, allergy, adverse reaction, protective measures and the like, and the relevant monitoring information can comprise: at least one of symptoms, indices, feelings, manifestations, etc. Recommended monitoring regimens may also include relevant symptoms, indicators, sensations, normal/abnormal ranges of performance, and measures to be taken when an abnormality occurs.

The various data acquired by the intelligent antimicrobial drug recommendation method can be all data, and can also be data of certain conditions according to needs, such as: data for a certain time period, data of a patient at a certain hospital/department/doctor, etc.

The recommendation of antimicrobial drugs may be a dynamic process. The intelligent antimicrobial drug recommending method can evaluate whether the recommended antimicrobial drug is suitable or not according to new information obtained in the using process of the antimicrobial drug or the clinical using effect of the antimicrobial drug, and if the evaluation result is unsuitable, the intelligent antimicrobial drug recommending method can carry out intelligent antimicrobial drug recommendation again according to the new information. Since in the actual business it is possible to recommend antimicrobial drugs at the beginning of the selection, due to the constraints, only on the basis of the knowledge of limited patient disease information and patient actual information. With the use of the antimicrobial drug, more patient information can be acquired, and the condition of the patient may change, including new disease information, index information, symptom information, environmental information, physiological/psychological condition information, surgery information, operation information, etc., and the new information or change of the information may cause the previously recommended antimicrobial drug to be unsuitable, so that the new antimicrobial drug needs to be recommended according to the new information, or no new information is found, but the poor clinical use effect of the antimicrobial drug may cause the new antimicrobial drug to be recommended.

The dynamic course of antimicrobial recommendation may be adjusted according to the condition to be adjusted found in the monitoring process of the items related to symptoms, indicators, feelings, performances, etc. suggested by the medication monitoring protocol.

In the invention, the antimicrobial drug intelligent recommendation method further comprises the step of using an antimicrobial drug multi-dimensional element attribute dictionary for processing matching/comparison of data such as acquired information and the like from different sources, different data structures, different descriptions and different data standards with related information and rules in an antimicrobial drug use database, wherein the matching/comparison comprises a fuzzy matching algorithm. The antimicrobial drug multi-dimensional element attribute dictionary comprises at least one of a standard dictionary, a synonym correspondence dictionary and a fuzzy matching dictionary of the attribute of each element related to the antimicrobial drug, and comprises data such as synonyms, structures, combinations and mutual correspondence of the attribute of each dimension element related to the above items. The comparison of the acquired information with the related information and rules in the database for antimicrobial use may be performed by comparing the acquired original information with the dictionary corresponding to each item synonym in the multidimensional dictionary for antimicrobial use in the database for antimicrobial use, or by first converting the acquired original information into the corresponding standard dictionaries and then comparing the converted information with the database for antimicrobial use, or by performing fuzzy matching on the acquired original information and the dictionaries in the database for antimicrobial use, or by a combination of the above methods. The antimicrobial multi-dimensional element attribute dictionary may be established separately or included in the antimicrobial usage database.

In the invention, besides adopting the multi-dimensional element attribute dictionary of the antimicrobial drug for matching, the matching/comparison between the acquired information and the related information and rules in the antimicrobial drug use database can be processed by methods such as a voice recognition technology, a semantic recognition technology, translation of different languages, an OCR recognition technology, a virtual reality technology, an augmented reality technology, a gesture recognition technology and the like.

In the present invention, the method for intelligent antimicrobial drug recommendation may further include a patient personal information database for obtaining actual information of relevant elements for antimicrobial drug use of a patient and providing or supplementing relevant information of the patient for analyzing suitable antimicrobial drugs of the patient. The patient personal information database comprises the relevant information of the patient, and the content comprises: patient basic information, genetic related information, family health related information such as family medical history, allergy history, regional epidemic history, medication history, surgical history, medical device use history, learning conditions, work conditions, exercise conditions, family conditions, living environment, hobbies, compliance conditions, tolerance conditions, medical insurance conditions, and physiological/psychological/learning/work/physical/sleep/exercise/emotional/metabolic/visual/hearing/mental/attention/diet/immune/growth development/memory/fertility conditions, and time of rest.

In the present invention, the method for intelligent antimicrobial drug recommendation may further comprise a medical staff personal information database for obtaining actual information of relevant elements for antimicrobial drug usage of the patient and providing or supplementing relevant information of medical staff for analyzing the antimicrobial drug suitable for the patient. The medical personnel personal information database comprises the related information of the medical personnel, and the content comprises the following components: the medical staff's study, profession, specialty, title, job title, practice hospital, department, and the related habits of prescribing medical advice, including related experience, medical advice writing habits, general medical advice rules, etc.

The data acquisition method of the patient personal information database and the medical personnel personal information database comprises the steps of acquiring or accessing from other information systems, equipment or databases and analyzing, or manually inputting, or continuously acquiring and analyzing new data in the using process of relevant information of the databases, or the combination of the methods.

In the present invention, the source of the actual information of the relevant elements for antimicrobial drug use in a patient may be a patient personal information database, health file, family or family member health record, medical order, medical record, medical calendar, prescription, electronic medical record, medical institution information system, pharmacy/medical facility information system, medical record, treatment record, assessment report, consultation record, survey record, work record/plan, diet record/plan, medication record/plan, treatment record/plan, exercise record/plan, work record/plan, learning record/plan, rehabilitation record/plan, health record/plan, examination/examination order, surgery record/record, health management plan, billing order, clinical treatment path, examination/examination result, health management plan, billing order, health record/examination order, health record/plan, health record/examination order, health record/plan, The operation setting/record and the gene detection result can be obtained from the use/prescription/recommendation record of the patient/doctor/nurse, or can be provided by various wearable devices, sensors, electronic devices, an electronic positioning system, a weather forecast system, an electronic temperature/humidity/air pressure detection device, an intelligent sound box, an intelligent home system, an intelligent monitoring/monitoring system, intelligent glasses, an intelligent closestool, an intelligent ground, an intelligent scale, an intelligent detection/analysis device, an electronic infusion system, an operation robot, face recognition analysis, fingerprint recognition, voice recognition, gait recognition, a positioning system, a social platform and other devices or systems, or can be obtained by analyzing the information of the life, study, work, movement, trip, social interaction, shopping, diet, work, entertainment and the like of the patient through big data, the information can also be analyzed by the patient's race/family/region/age/marital/birth, etc. The missing information may be provided or refined by the patient/doctor/nurse/caregiver, or the information with high relevance may be actively prompted to the patient/doctor/nurse/caregiver to observe, monitor, check, query, analyze, confirm, record whether the relevant condition occurs or obtain the relevant index/performance/feeling/symptom/physiological change, the relevance is set or analyzed by ranking or ordering the relevant elements according to the importance of the reasonable and compliance of the antimicrobial drug use in the aspects of effectiveness, safety, economy, suitability/comfort/compliance, etc., and the information with high importance may be set as the information that must be refined or the next step cannot be performed. When the actual information of the relevant elements used by the antimicrobial drugs of the patient is obtained, the relevant advice information prescribed by the specific medical personnel can be analyzed according to the personal information database of the medical personnel, so that the actual information of the relevant elements can be further accurately mastered. Assessment reports include physiological, psychological, economic, credit, athletic ability, and the like. The intelligent detection/analysis device includes: odor, image, sound, pulse condition, X-ray film, CT, nuclear magnetic, ultrasonic examination, brain wave, mass spectrum analyzer, tongue analysis, fundus examination, gastroscope, enteroscope, catheter, minimally invasive scope, heart rate, blood oxygen, blood pressure, blood sugar, blood fat, body temperature, blood examination, urine examination, stool examination, pulse measurement/analysis equipment, etc.

In the present invention, the recommendation result of the antimicrobial drug to the patient by the antimicrobial drug intelligent recommendation method can be used for reminding, warning, limiting, prohibiting, assisting, guiding the patient/doctor/nurse/caregiver to select or recommend the antimicrobial drug, i.e. intervene in the process of prescription or medical order and execution. It can also be used for patient/doctor/nurse/caregiver discussion with recommendation/administration/guidance/counseling stations or secondary recommendation/administration/guidance/counseling centers to discuss the data base for antimicrobial use/recommendation/purchase/payment/insurance recommendation optimization schemes and the data base for advanced post reply/auto reply. The system can also be used as the basis for professional level evaluation/professional normative evaluation/performance assessment of personnel such as doctors, nurses, caregivers and the like. And can also be used as a method for training/checking the professional skills. And can also be used as the basis for selling or refusing the selling of the vending machine/electric business/pharmacy/medical institution. The intelligent vending machine can also be communicated with various information systems/information platforms/various vending machines/intelligent wearable devices/intelligent household devices/intelligent medical devices/remote control medical devices to serve as configurable control items of relevant operations or processes under the triggering of the systems or the relevant devices, such as automatic vending, intelligent reminding, intelligent starting, intelligent closing and the like. The system can also be used as the basis for evaluating, paying, checking, supervising, law enforcement, management, and related business behaviors of a referee medical institution/drugstore/medical instrument retail store by a medical insurance management institution/medical insurance company/health administration/credit evaluation institution/grade review institution/judicial institution, can also be used as the basis for treatment/rehabilitation/health care/examination of a guardian/family doctor/family drugger/health manager/family care management patient, can also be used as the basis for the antimicrobial drug related part in the health management/disease management of a patient by an intelligent health management system/disease management system, and can also be used as the basis for the health management/disease management of a scientific research institution/scientific research personnel/production enterprise/sales enterprise/use institution/purchasing institution/patient/doctor/nurse/pharmacist/nurse/care person The data basis of selection/evaluation/design/research and development/sale of relevant objects such as salesmen can also be used for the data basis of operation-related policy/regulation/payment range/payment rate/payment amount/use range and the like formulated by medical insurance management/medical insurance company/price management/health administration/medical institution. The feedback objects and applications of the analysis items and the analysis results can also be set, the analysis results of the analysis items are fed back to different departments and different posts according to the requirements of patients, the processing authority and the flow of each department and post and the processing time limit and the processing requirements of each link are set, and various corresponding analysis result reports can also be generated according to the management requirements. The application of the rationality analysis to each analysis item may be a mode of recommendation in advance/in advance or a mode of comment after the fact. According to the analysis and evaluation results, a normative evaluation report of the antimicrobial drug is provided for medical administration staff, medical insurance institutions, medical insurance management staff and circulation field management staff, and various possible illegal and illegal behaviors are prompted, so that support is provided for further standardizing the antimicrobial drug. The pre-treatment includes the time of doctor's advice, the time of recommendation and the time of purchase. The term "in progress" means in progress.

In the first embodiment of the present invention, the order of the steps may be partially adjusted according to the user service, or the steps may be combined or separated, so long as the key elements and the relationship between the elements are used for recommendation of the antimicrobial drug, the overall implementation of the present invention is not affected. If the sequence of step 5 and step 6 is exchanged, the overall recommended result is not affected, and the method also belongs to an implementation mode of the invention. The method also comprises the step of directly establishing the corresponding relation of relevant information of a patient needing treatment/needing prevention, namely microbial information of the patient needing treatment/needing prevention, and the antimicrobial medicament in the antimicrobial medicament use database, in this case, a list of the antimicrobial medicament can be directly obtained from the database by acquiring the relevant information of the patient needing treatment/prevention, the steps 3 and 4 are combined, although the steps are different from the surface steps, the method is actually the same as the method of the invention, only the step of target microbial analysis and the corresponding relation are stored in the database, and the list of the antimicrobial medicament is directly obtained from the database, and the method also belongs to an implementation mode of the invention.

In the invention, each item of recommendation, evaluation, report and other output information of the antimicrobial drug intelligent recommendation method can be manually completed by professionals according to the antimicrobial drug use database and each item of data, or manually completed under the support of a system, or automatically completed by the system, or automatically completed by artificial intelligence, or completed by combining a system/artificial intelligence completion part with a manual completion part. The form of the application/output of the recommendation result of the relevant antimicrobial drug can be the function realization of reminding, informing, reporting, system authority limit, system flow limit, control of relevant systems/devices/files/authorities and the like; or providing related interfaces to be realized by being in butt joint with other management systems; or an application that provides the recommendation and manually implements the relevant recommendation by the user.

In the invention, the identity recognition, confirmation, login and electronic signature of the patient, medical personnel and related roles, as well as the storage, transmission and application of personal information, medical advice information and various analysis results of the antimicrobial drug intelligent recommendation method can be encrypted by various methods, so that the related identities/authorities can be prevented from being stolen or information is prevented from being leaked. Wherein the encryption algorithm comprises a symmetric encryption algorithm and/or an asymmetric encryption algorithm, such as: the large integer decomposition problem encryption algorithm, the discrete logarithm problem encryption algorithm, the elliptic curve encryption algorithm, specifically, the block chain technique, etc., the encryption hardware may adopt a secret key, a dongle, an encrypted hard disk, etc., and may be encrypted in combination with user equipment hardware, a network address, etc., or may be encrypted in combination with each other.

In the invention, the data transmission mode of the antimicrobial drug intelligent recommendation method can be a data line mode, a wired network, a wireless transmission mode, a radio frequency identification mode, a magnetic card read-write mode, a mobile hard disk mode, an NFC mode, a bar code mode, a two-dimensional code mode and the like. The wireless transmission mode comprises: infrared, bluetooth, wifi, microwave, visible light wave, telecommunication wireless network, ultrasonic/sound wave, radio, etc.

In the invention, the antimicrobial drug intelligent recommendation method can be used by a single machine, or can be used by users through access type external hardware such as a mobile hard disk, a box, a card and the like, or can be installed in a local server to support local users, or can be installed in a private cloud server to support private cloud users, or can be installed in the Internet to provide services for Internet users.

Fig. 2 is a block diagram of a system for intelligent antimicrobial drug recommendation according to a second embodiment of the present invention. As shown, the system for antimicrobial intelligent recommendation includes:

a database unit 11 for storing an antimicrobial drug use database;

a patient need information acquiring unit 12 for acquiring relevant information that the patient needs treatment/needs prevention;

a microorganism analysis unit 13 for analyzing information on microorganisms of which the patient needs treatment/needs prevention;

an antimicrobial drug list generation unit 14 for generating a patient antimicrobial drug list;

a sensitivity analysis unit 15 for optimizing the antimicrobial drug list by sensitivity analysis;

a rational compliance analysis unit 16 for optimizing the list of antimicrobial drugs by a rational compliance analysis;

an intelligent recommendation unit 17 for recommending a suitable antimicrobial drug;

the patient need information acquisition unit acquires relevant information of treatment/prevention need of a patient, the microorganism analysis unit acquires the microorganism information of treatment/prevention need of the patient through analysis of the relevant information of treatment/prevention need of the patient, the antimicrobial medicine list generation unit acquires a corresponding antimicrobial medicine list through the information of treatment/prevention need of the patient, the sensitivity analysis unit optimizes the antimicrobial medicine list through analysis of medicine sensitivity, the reasonable compliance analysis unit optimizes the antimicrobial medicine list through analysis of reasonable compliance of medicine use, and the intelligent recommendation unit recommends a proper antimicrobial medicine.

The system for intelligently recommending the antimicrobial drugs is formed by the method for intelligently recommending the antimicrobial drugs, comprises the system units, the system functions and the structural characteristics which are corresponding to each other, can refer to the description of the method for intelligently recommending the antimicrobial drugs, and is not repeated herein. It should be noted that, the units of the system of the present invention can be combined or separated according to the user's usage, and all of them are within the protection scope of the present invention.

The intelligent antimicrobial drug recommendation system can comprehensively analyze, remind and recommend the whole process from the safety, effectiveness, economy and suitability of the antimicrobial drug, can effectively avoid the problem of unreasonable use of the antimicrobial drug caused by insufficient professional skills of medical personnel, individual differences of patients, human errors and the like, and ensures that the patients can be treated reasonably.

For example: the intelligent antimicrobial drug recommending system can establish multiple versions of the antimicrobial drug intelligent recommending system in a unified or different region according to the actual situation of the region, and recommend antimicrobial drugs when different medical institutions, clinics, health hospitals, health stations, departments, doctors, pharmacists and the like in the district select antimicrobial drugs for patients. The recommendation can be performed by a system installed locally or a system installed in an internet/local area network server, can be automatically completed by the system, or can be performed by outputting a formal recommendation result after a relevant result is confirmed/adjusted by a recommendation post after the system completes the pre-recommendation. The recommended result can be used for managing antimicrobial drugs of patients, can also be used as a basis for adjusting medical orders, and can also be used for assessing medical quality/work performance/professional ability assessment/wind-driving assessment/service quality assessment/benefit accounting and the like of different medical institutions, departments, doctors, nurses, pharmacists, inspectors and the like.

For example: a treatment data service center can be established, and the antimicrobial drug intelligent recommendation-based system provides antimicrobial drug recommendation service for users such as medical institutions, clinics, health hospitals, health stations, medical insurance institutions, insurance companies, doctors, pharmacists, patients, caregivers and the like. The treatment data service center can assist the user to generate antimicrobial drug use databases of different versions which are subjected to personalized adjustment and configuration according to the characteristics and requirements of the user such as attributes, scale, business, region, economic condition, management system, use habit and the like, can customize different data transmission, storage, output and application processes/modes/formats according to different user business processes, and can be used for docking different systems, networks, equipment and mechanisms.

Fig. 3 is a hardware block diagram of an intelligent antimicrobial drug recommendation device according to a third embodiment of the present invention. As shown, the antimicrobial intelligent recommendation device includes:

a database module 21 for storing an antimicrobial drug use database;

a patient need information acquisition module 22 for acquiring relevant information that the patient needs treatment/needs prevention;

a microorganism analysis module 23 for analyzing microorganism information of a patient in need of treatment/prevention;

an antimicrobial drug list generation module 24 for generating a patient antimicrobial drug list;

a sensitivity analysis module 25 for optimizing the antimicrobial drug list by sensitivity analysis;

a rational compliance analysis module 26 for optimizing the list of antimicrobial drugs by rational compliance analysis;

an intelligent recommendation module 27 for recommending a suitable antimicrobial drug;

The equipment for intelligently recommending the antimicrobial drugs is formed by adopting the method for intelligently recommending the antimicrobial drugs, the structural characteristics correspond to one another, the description of the method for intelligently recommending the antimicrobial drugs can be referred to, and the description is omitted.

In summary, the method, system and device for intelligent recommendation of antimicrobial drugs of the present invention derive a list of antimicrobial drugs by obtaining information on the microorganisms that a patient needs to treat/need to prevent; optimizing a list of antimicrobial drugs by sensitivity analysis and rational compliance analysis; suitable antimicrobial drugs are recommended. By the method, the system and the equipment for intelligently recommending the antimicrobial drugs, the condition that the antimicrobial drugs are unreasonably and unconformity in use due to the reasons of insufficient information of the antimicrobial drugs, insufficient individual information of patients or human errors can be avoided, the effective management of the antimicrobial drugs can be realized for users, the use effectiveness of the antimicrobial drugs can be improved, and the related risks of the antimicrobial drugs in the aspects of safety, economy, suitability and the like can be reduced.

The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims

1. A method for intelligent antimicrobial drug recommendation, the method comprising:

establishing an antimicrobial drug use database;

obtaining relevant information that a patient needs treatment/needs prevention;

optimizing a list of antimicrobial drugs by sensitivity analysis;

recommending antimicrobial drugs in the optimized antimicrobial drug list.

2. The intelligent antimicrobial recommendation method according to claim 1, wherein: the antimicrobial drug use database includes correspondence of disease information/prevention information with microorganisms; the correspondence of microorganisms to antimicrobial drugs; information and rules regarding the rational and compliance of the antimicrobial drug use, the effect of the antimicrobial drug on the patient, and the associated measures to be taken.

3. The intelligent antimicrobial drug recommendation method according to any one of claims 1 and 2, wherein: the rational compliance analysis of the antimicrobial drug use is by obtaining information on alternative antimicrobial drugs; acquiring actual information of relevant elements of antimicrobial drug use of a patient; and (3) the information of the antimicrobial drug and the actual information of the relevant elements of the antimicrobial drug use of the patient are compared with relevant information and rules in an antimicrobial drug use database in a calculation mode, and the rationality and the compliance of the antimicrobial drug use of the patient are analyzed.

4. The intelligent antimicrobial recommendation method according to claim 2, wherein: relevant rules for the rational and regulatory compliance of the use of antimicrobial drugs include: at least one of rules relating to applicability, contraindications, cautious/cautious, interaction, allergy, time of use, method of use, dosage form, combination, repeat use, adverse reaction, readiness/protection, suitability/comfort/compliance, medical insurance/welfare, economic regulation, administrative regulation.

5. An intelligent antimicrobial recommendation method according to any one of claims 1-4, wherein: the method also includes recommending the use and amount of the antimicrobial agent.

6. An intelligent antimicrobial recommendation method according to any one of claims 1-4, wherein: the method further includes recommending an associated monitoring regimen for antimicrobial drug use.

7. An intelligent antimicrobial recommendation method according to any one of claims 1-6, wherein: the method also comprises the steps of respectively setting grades/scores corresponding to the possibility, the harm degree and the urgency degree of the infection caused by various/various microorganisms under the condition of various disease information/prevention information for various microorganisms to the patient according to the possibility of the infection caused by various/various microorganisms under the condition and the harm degree and the urgency degree of the infection caused by various/various microorganisms to the patient under the condition and the urgency degree in terms of time, and setting relative weights of the possibility, the harm degree and the urgency degree under the condition according to actual conditions, so that when the microorganisms needing to be treated/prevented of the patient are analyzed, the comprehensive grade/score of the relevant microorganisms needing to be treated/required to be prevented under the condition can be calculated according to the grades/scores corresponding to the possibility, the harm degree and the urgency degree of the relevant microorganisms causing the infection and the relative weights, in order to analyze the level of necessity or the overall prioritization of the various microorganisms/types that need to be treated/prevented under the conditions.

8. An intelligent antimicrobial recommendation method according to any one of claims 1-6, wherein: the method also comprises the steps of respectively setting corresponding grades/scores for the analysis results of the antimicrobial drugs in each analysis item obtained by analyzing the reasonable compliance of the antimicrobial drugs under various use conditions, and setting the relative weights of the analysis items according to actual conditions, so that the comprehensive grades/scores of the drugs can be calculated according to the grades/scores of the drugs in each analysis item and the relative weights of the analysis items, and comprehensive recommendation results or comprehensive priority ranking can be provided for intelligent recommendation of the antimicrobial drugs under the conditions, including comparison among related antimicrobial drugs.

9. A method for intelligent recommendation of antimicrobial drugs according to claims 1-8, characterized by: if the incomplete information of the use condition of the related medicine is generated in the antimicrobial medicine recommending process, so that the medicine use information required by certain analysis items is lacked, one of the treatment measures of ignoring, reminding and forcing is adopted according to the weight of the analysis items and the specific situation of the importance of the lacked information.

10. An intelligent antimicrobial recommendation method according to any one of claims 1-9, wherein: the method further comprises the following steps: according to the new information obtained in the process of using the antimicrobial medicine, including the clinical effect of the antimicrobial medicine, whether the used antimicrobial medicine is suitable or not is evaluated, and if the evaluation result is not suitable, the method can be combined with the new information to re-carry out the intelligent recommendation of the antimicrobial medicine.

11. A system for intelligent antimicrobial drug recommendation, comprising:

a database unit for storing an antimicrobial drug use database;

12. An apparatus for intelligent antimicrobial drug recommendation, comprising:

a database module for storing an antimicrobial drug use database;