CN111627513A - Method, system and equipment for managing treatment scheme rules - Google Patents
Method, system and equipment for managing treatment scheme rules Download PDFInfo
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- CN111627513A CN111627513A CN202010502375.3A CN202010502375A CN111627513A CN 111627513 A CN111627513 A CN 111627513A CN 202010502375 A CN202010502375 A CN 202010502375A CN 111627513 A CN111627513 A CN 111627513A
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Abstract
The invention discloses a management method, a system and equipment for treatment scheme rules, which are used for marking relevant rules of each treatment scheme in a database according to the source and the content of the rules, selecting proper rules according to the marks according to the business requirements of users, generating a treatment scheme self-defined rule base meeting the requirements of the users, and applying the treatment scheme self-defined rule base to an intelligent medical system of the users. By the method, the system and the equipment for managing the treatment scheme rules, the rule set meeting the requirements of users can be selected to serve as the treatment scheme self-defined rule base of the intelligent medical system based on the current situations of different business units, the rules can be adjusted in real time, an information rule management system is quickly established aiming at the reasonable treatment scheme and the compliance management and control requirements, and the purposes of improving the medical safety of patients, improving the medical quality, reducing the unreasonable medical cost and reasonably distributing medical resources are achieved.
Description
Technical Field
The invention relates to the technical field of intelligent medical information processing, in particular to a method, a system and equipment for managing treatment scheme rules in an intelligent medical system.
Background
With the continuous improvement of living standard, the demand of people for medical treatment is also greatly increased. The treatment plan is a plan for treating a patient by a doctor according to the symptoms of the patient and by making an appropriate treatment method or a combination of treatment methods according to the specific condition of the patient under the condition of fully knowing the condition, the history, the diagnosis and the examination result. Whether the treatment scheme is reasonable 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.
With the development and application of modern information technology, the emergence of intelligent medical systems provides a good auxiliary tool for intelligent analysis, intelligent management and intelligent recommendation of treatment schemes, so that comprehensive acquisition, analysis and application of mass data become possible, and great effects are gradually exerted on the guarantee of the rationality and compliance of treatment schemes of patients.
The working principle of the intelligent medical system in the aspect of treatment schemes is that the reasonability and the compliance of the treatment schemes are analyzed according to actual clinical disease information by taking a predetermined rule as a standard, or the corresponding treatment schemes are intelligently recommended according to the conditions of patients. Therefore, the key point of the auxiliary treatment by using the intelligent medical system is to establish a set of practical, balanced and scientific standard rules of the treatment scheme, so that doctors, pharmacists and related managers can be assisted to analyze the rationality and the compliance of the treatment scheme according to the actual business of users, or the related schemes are recommended to the doctors, the pharmacists, patients and the like to achieve the purposes of preventing, finding and avoiding the related risks of various treatment schemes. The rules in the intelligent medical system are based on medical related data and data, and then are combined with the actual conditions of user business, and the specific medical business rules are generated by adopting methods such as manual processing, big data mining, artificial intelligent deep learning and the like, so the range of the rule sources and the actual application level are of great importance to the practicability of the system.
By taking rationality and compliance analysis of an auxiliary treatment scheme using an intelligent medical system as an example, if the standard of the system rule is too low, a large number of false negative analysis results may occur, so that many risks cannot be discovered by the system, the targets of controlling and inhibiting unreasonable and non-compliant medical behaviors cannot be achieved, a large number of unreasonable costs cannot be effectively controlled, and the treatment of patients faces huge risks. On the contrary, if the standard of the system rule is too high, a large number of false positive analysis results may occur, and some practical and reasonable treatment schemes are taken as problem schemes, which brings a large amount of manual examination and verification workload to the examination and verification organization, causes conflict between the management department and the doctor, does not play an ideal intelligent pre-examination role, and also adds unnecessary burden to the daily diagnosis and treatment work of the doctor and the information system of the medical institution.
The clinical treatment path, guideline, diagnosis and treatment standard, medical regulation and other data are used as the professional basis for doctors to formulate treatment schemes and relevant departments to carry out reasonable treatment schemes and regulatory compliance, and the relevant contents are the sources of the rules of reasonable treatment schemes and compliance of different levels. The existing medical scheme auxiliary analysis system basically establishes system standard rules by taking a large number of drug specifications, clinical guidelines, clinical studies and other authoritative data as sources. However, because some of the data source standards, updated versions, changed sources and the like which are included in the standard rules have great randomness, a user cannot conveniently know which rules of the specifications, guidelines, prescription sets and other data are included in the standard rules in the process of using the system, and also cannot know which versions of the data are specifically included, so that the user cannot manage the standard rules used by the user, cannot accurately control the quality of the treatment scheme analyzed based on the standard rules, and cannot establish a reasonable treatment scheme and a standard data system of compliance rules which meet the self condition of the user. Therefore, a set of method, system and device for managing treatment scheme rules by a user according to the self condition is needed, so that the user can conveniently, accurately and scientifically generate and maintain a relevant rule base, the intelligent medical system can better meet the actual business needs, and relevant personnel and mechanisms are assisted to discover and avoid relevant risks possibly occurring in the treatment scheme.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the method helps a user to select a proper data range and a proper data level as a basis according to the self requirement, establish scientific, practical and balanced treatment scheme rules, and dynamically manage the rules corresponding to related contents and data to realize the services of reasonable compliance analysis, recommendation, guidance, management, evaluation and the like related to treatment schemes for different medical service units by applying a related intelligent system, and assisting doctors, pharmacists, medical quality control personnel, medical expense management personnel, management personnel and the like, so that the intelligent medical system of the user, particularly a treatment scheme analysis system, can guarantee the medical quality of different medical institutions, control unreasonable medical expenses, maintain the safety and the rights of patients, promote the reasonable distribution and the use of medical resources and the like.
The invention is realized by the following technical scheme:
the invention provides a method for managing treatment scheme rules, which comprise related rules of treatment scheme rationality and compliance, and the method comprises the following steps:
marking each/each group of treatment plan related rules in the database according to the source of the treatment plan related rules and the content of the rules;
selecting a proper rule according to the mark according to the service requirement of the user, and generating a treatment scheme self-defining rule base which meets the requirement of the user;
and applying the treatment scheme self-defining rule base to the intelligent medical system of the user.
A method for managing rules of a treatment plan as described above, wherein the source tags of the rules include at least one of geographic source related tags, institution source related tags, material source category related tags, author source related tags, evidence level related tags, administrative certification/recommendation level related tags, and time/version related tags.
A method for managing a therapy plan rule as described above, wherein the content mark of the rule includes at least one of an analysis item related mark, a therapy plan/therapy method related mark, a therapy target related mark, a crowd related mark, a disease related mark, a therapy effect related mark, a person related mark, and a user usage related mark.
A method of managing treatment regimen rules as described above, the method further comprising: corresponding grades/scores are respectively set for part/all marks of each rule/each group of rules according to user services, and relative weights of each mark classification can be set according to actual conditions, so that when a user selects a proper rule, the comprehensive grade/score of the related rule can be calculated according to the grade/score corresponding to each mark of the related rule and the relative weight of each mark classification, and the user can conveniently select the proper rule.
A method of managing treatment regimen rules as described above, the method further comprising: the user can set different business subunit custom rule systems according to the business requirements of each subunit on the basis of the unified custom rule base, and each subunit can adjust on the basis of the unified custom rule base according to the business requirements of the subunit, including the adjustment of the selection of the rules and the adjustment of the rule application level, so as to support the relevant requirements of each subunit on the rules.
The method for managing the rules of the treatment scheme further comprises the step that the user optimizes the treatment scheme self-defined rule base according to the needs of the user, wherein the optimization of the self-defined rule base is realized by adjusting and adding the rule marks, or modifying the selection conditions of the rules of the self-defined rule base, or modifying the relevant rules.
A method of managing treatment regimen rules as described above, the method further comprising: and comparing the treatment scheme data of the user with relevant rules in the treatment scheme rules in the database, and analyzing the rules related to the treatment scheme of the user, the distribution of the rule sources and specific contents.
A method of managing treatment regimen rules as described above, the method further comprising: the usage of rules may be ranked according to the business needs of different users, and may include: the system comprises at least one level of non-enabling, mandatory, fixed, recommended, suggested, fair, conditional fair, prompt, alert, warning, limit, conditional pass, forbidden, strict forbidden, mandatory forbidden, etc., to support the relevant application requirements of the user for different rules.
A method of managing treatment regimen rules as described above, the method further comprising: according to the requirements of different users, rules and display methods of the marks can be set, so that the users can view the related marks of the treatment scheme rules used in the intelligent medical system or view the rules corresponding to the related marks.
The invention also provides a management system for treatment scheme rules, wherein the treatment scheme rules comprise relevant rules for treatment scheme reasonability and compliance, and the management system comprises:
a rule marking unit for marking each/every group of rules related to the treatment plan in the database according to the source of the rules and the content of the rules;
a rule selecting unit, which is used for selecting a proper rule according to the mark according to the service requirement of the user;
and the rule base generation unit is used for generating a user-defined rule base which meets the requirements of the user according to the selected rule and applying the user-defined rule base to the intelligent medical system of the user.
The present invention also provides a management apparatus for a treatment plan rule including rules relating to rationality and compliance of a treatment plan, the management apparatus comprising:
the rule marking module is used for marking the relevant rules of each treatment scheme/each group of treatment schemes in the database according to the source of the rules and the content of the rules;
the rule selection module is used for selecting a proper rule according to the mark according to the service requirement of the user;
and the rule base generation module is used for generating a treatment scheme self-defined rule base meeting the requirements of the user according to the selected rule and applying the self-defined rule base to the intelligent medical system of the user.
According to the management method, the management system and the management equipment of the treatment scheme rules, each rule in the treatment scheme rules in the intelligent medical system is marked according to the source and the content of the rule, and a treatment scheme self-defined rule base meeting the user requirements is generated by a user according to the self business requirements and the marked proper rule and is applied to the intelligent medical system of the user. By the method, the system and the equipment for managing the treatment scheme rules, different users can select practical and balanced treatment scheme rule construction standards according to self requirements and establish a treatment scheme rule base for an intelligent medical system on the basis of selecting proper data ranges and data levels according to different business units, and can dynamically manage related rules, so that the intelligent medical system of the users can play a greater role in ensuring the medical quality of medical institutions, reducing medical related risks, controlling unreasonable medical expenses, maintaining the safety and rights of patients and promoting reasonable distribution and use of medical resources.
Drawings
Fig. 1 is a flowchart of a method for managing rules of a treatment plan according to a first embodiment of the present invention.
Fig. 2 is a system block diagram of a system for managing rules of a treatment plan according to a second embodiment of the present invention.
Fig. 3 is a hardware block diagram of a treatment plan rule management apparatus according to a third embodiment of 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.
A first embodiment of the present invention is described with reference to fig. 1. FIG. 1 is a method flow diagram of a method of managing rules of a treatment plan of the present invention. The invention relates to a management method of treatment scheme rules, which comprises relevant rules of reasonable and compliant treatment schemes, and the management method of the treatment scheme rules comprises the following steps:
s1: the rules associated with each/each set of treatment plan in the database are labeled according to the source of the rules and the content of the rules.
S2: and selecting a proper rule by the user according to the service requirement and the mark, and generating a treatment scheme self-defined rule base meeting the requirement of the user.
S3: and applying the treatment scheme self-defining rule base to the intelligent medical system of the user.
In the present invention, the mark is a name, and may include various marks, classifications, labels, features, keywords, etc., and if the data is classified according to the issuing organization, the organizations with different attributes, the organization levels and the specific organization names are the classified paths and the classification names, that is, the corresponding marks.
If a user needs to use the intelligent medical system, particularly the treatment scheme related system, to analyze, recommend and guide the treatment scheme of the patient, the system should first include the treatment scheme rules, the treatment scheme rule base includes the relevant rules for the rationality and compliance of the treatment scheme, and the intelligent medical system screens the relevant problems of the treatment scheme according to the relevant rules for the rationality and compliance of the treatment scheme in the rule base. The database in S1 may be a public database, a database provided by a relevant government department/business platform/enterprise/academic organization, or a database created by a user. The source of the relevant rules for treatment protocols in the database is based on various clinical treatment routes, guidelines, clinical standards, clinical norms, industry norms, textbooks, drug specifications, medical device use/operation specifications, medical device use specifications, surgical operation specifications, examination/inspection norms, prescriptions sets, pharmacopoeias, expert consensus, expert experience, conference disciplines and consensus within the conjunctions/hospitals/departments, papers, monographs, inventions, scientific inferences, experimental reports, test reports, data analysis reports, test reports, approval documents, relevant regulations, relevant guidelines, relevant policies, relevant regimes, relevant catalogs, relevant literature data, relevant price rules, relevant price catalogs, relevant bidding results, relevant item price policies, relevant insurance payment terms, relevant DRGS standards, The relevant insurance payment agreement, the relevant bidding result, the relevant purchasing catalogue, the evaluation/inspection result/monitoring report/safety report of the relevant doctor/nurse/checker/pharmacist/nursing staff/patient/salesperson, other literature data, other research results with professionality/authority, the data processing method based on evidence-based medicine, probability speculation based on the existing data, a database established by sources such as various weights/various grades/various sequencing 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, or the data can be derived from rules and indexes which are manually set after data statistical analysis/artificial intelligence deep learning, or at least one of relevant information and rules which are continuously accumulated and refined by clinicians and pharmacists in the process of treating diseases.
In the present invention, the treatment plan is a plan for treating the patient by a doctor according to the specific condition of the patient under the condition that the doctor fully understands the condition of the patient, the medical history, the diagnosis and the examination result. The therapeutic scheme is to realize one or more therapeutic targets, and is formed by combining one or more therapeutic methods according to the mutual relations among certain time, methods, spaces, strength and therapeutic methods, wherein the therapeutic methods can be drug therapy, medical instrument therapy, examination, surgery, chemotherapy, radiotherapy, phototherapy, thermotherapy, magnetotherapy, electrotherapy, electromagnetic magnetotherapy, phonotherapy, immunotherapy, gene therapy, operation, physiotherapy, rehabilitation, sports, health care, psychological intervention, nutrition support, Chinese medicine therapy and the like, and can also be other therapeutic methods. The treatment method comprises the related specific medicines/instruments/equipment/materials/personnel/food/health food/actions/manipulations/sports and specific using method, using amount/intensity, using time and the like. The therapeutic targets may be treatment/diagnosis/prevention of disease, improvement of indices, delaying aging, reduction of pain, reduction of risk, alteration of body function and morphology, etc.
In the invention, various marks are established for relevant rules of reasonable and compliant treatment schemes, so that a user can conveniently and quickly select the rules with the suitable marks according to the self needs to generate a treatment scheme self-defined rule base meeting the user needs, the method is applied to an intelligent medical system to carry out intelligent analysis on the treatment scheme, and the specific application mode comprises auditing, recommending, guiding, managing and the like of the treatment scheme. The therapy-related rules are labeled, and may be based on the source of the rules and the content of the rules.
The indicia of origin of the rules associated with the treatment plan may include indicia related to geographic origin, indicia related to institutional origin, indicia related to categories of sources of materials, indicia related to sources of authors, indicia related to levels of evidence, indicia related to administrative certification/recommendation levels, indicia related to time/version, etc., or other indicia related to the origin of the rules.
The geographical origin related mark may be marked in a hierarchical manner according to geographical related information, such as continent, region (large), country, region, province (direct prefecture city), city/state/region (small), county, district, and the like. Such as: southeast Asia, USA, Beijing, etc.
The organization source related indicia may be marked according to a drafting/editing/publishing/distributing/issuing/promulgating/publishing/offering organization or platform of the rule source. Including but not limited to: marking according to professional attributes of relevant mechanisms, organizations or platforms; marking according to the administrative attributes of related mechanisms, organizations or platforms; labeling according to authority, specialty and influence of relevant organizations, organizations or platforms; tagging is performed according to the relevance of the relevant organization, organization or platform to the user. Professional attributes of the relevant organization, organization or platform may include: medical management, medicamentization, medical insurance, medicine, pharmacy, finance, administration, regulation, price, tender purchase, and the like. Administrative attributes of a relevant organization, or platform may include: professional academic groups, industry associations/colleges, academic unions/platforms, government agencies, legislative bodies, judicial bodies, medical insurance agencies, medical groups/conjunctions/alliances/institutions, schools/colleges, research institutes, data analysis agencies, consulting agencies, magazines/journals/newspapers/publishers/professional websites/professional network platforms, and the like. Such as: the guidelines issued by the world health organization, the institutional source names of the rules generated by the guidelines being labeled: the world health organization; the institutional administration attributes are labeled: the international organization belongs to a special institution; the authoritative label is: one stage, etc.
The related mark of the data source category can be marked according to the data type of the rule source and the value of the specific element thereof, and the data type includes but is not limited to: instructions, guidelines, consensus, guidelines, pharmacopoeia, prescription sets, specifications, standards, META analysis reports, data/literature analysis reports, experiments/test reports, research reports, survey reports, monographs/monographs, classical works, classical parties, expert biographies, educational materials, science popularization articles, medical records/courses, reports, databases, base drug catalogues, insurance payment drug catalogues, winning bid catalogues, purchasing catalogues, price catalogues, and the like.
Author source related tags may be tagged according to the drafter/researcher/author/designer of the rule source.
Evidence level related indicia may be based on evidence levels of rule sources such as: the sources from related laws and regulations or future sources are marked according to evidence grading of evidence based medical methods, including relevant national laws and regulations and relevant international organization laws and regulations, and relevant evidence based medical grading, and specific evidence based medical grading methods include but are not limited to: the method comprises the following steps of carrying out source evidence grade/recommendation grade grading according to the method in the generation process of rule sources and marking the method and the grade according to the method. And the user can also define an evidence level division method according to the business needs and mark the related evidence.
The administrative certification/recommendation level related marks can be marked according to the administrative certification/recommendation level of the rule source, including the authorities authenticating or rating the related sources by the administrative authorities, industry management authorities, credit evaluation authorities, certification authorities, social organizations, industry organizations and the like, and specific certification or evaluation levels, such as: mandatory level, recommended level, advised level, rational level, prompt level, warning level, restricted level, forbidden level, etc. For example, the 'antimicrobial medicine grading management method' released by the national health and welfare agency is marked as: the national Weijian Commission and the recommendation level are marked as follows: and (4) forcing the stage.
The time/version related tags may be tagged according to the time and version of the rule source, including but not limited to: source material discussion, formulation, release, revision, publication, validation, revocation, time/version numbers, or related meetings, etc. Such as: the source of the 2010 version of the chinese national formulary is labeled as: geographical origin-china; institutional source — department of health (now national health and wellness committee); data source-recipe set; time/version-2010 version.
When the relevant rules are marked according to the sources of the relevant rules of treatment scheme reasonability and compliance in the database, various marks of the rule sources can be graded or scored according to the business requirements of different users, so that the users can conveniently select the relevant rules which are suitable for the treatment scheme reasonability and compliance of the users. The source tags may be ranked in terms of authority/expertise/credibility/influence/applicability, etc. Such as: for the related data source mark, according to the existing related regulations, the medicine specification is the legal medicine use basis, the related data source mark from the rules of the medicine specification can be set to level 1, and for the users of the medical institutions in the 2010 version of the Chinese national prescription set, the level of the related authoritative data source mark can be set to level 2, which is next to the medicine specification.
Content indicia for rules in the database may include analysis item related indicia, treatment protocol/treatment method related indicia, treatment goal related indicia, population related indicia, disease related indicia, treatment effect related indicia, person related indicia, user usage related indicia, and other indicia related to the content of the rules.
The analysis item related mark may be marked according to the level and content of the analysis item and its analysis result related to the rule, and may include: applicability/indication, applicable population, contraindicated population, contraindications, situations requiring caution/attention, interaction, re-use, co-use, allergy, treatment condition, treatment occasion, treatment-related examination, development/use time, development/use method, dosage, adverse reaction, preparation/protective measures, treatment effect assessment, storage condition, expiration date, suitability/comfort/compliance, medical insurance/welfare, economic management, administrative management, and the like. For example, the contraindication related markers can comprise specific contraindications, and can be classified into markers of strict, forbidden, unreliability, cautious development, balanced profit and disadvantage development and the like according to severity.
The treatment plan/treatment method related label may be labeled according to the treatment plan/treatment method name and its value related to the specific element, which are referred to by the rule. The specific treatment method comprises the following steps: pharmacotherapy, medical device therapy, examination, surgery, chemotherapy, radiotherapy, phototherapy, thermotherapy, magnetotherapy, electrotherapy, electromagnetic therapy, phonotherapy, immunotherapy, gene therapy, operation, physiotherapy, dietotherapy, rehabilitation, exercise, health care, psychological intervention, nutritional support, traditional Chinese medicine therapy, etc. For example, the medical treatment and medical appliance treatment can comprise the factors of classification, components, action mechanism, application range, contraindications, adverse reactions, interaction, manufacturers, dosage forms, packaging, specification, price, medical insurance attribute, winning bid condition, usage amount, use path and the like of related products, and the factors of examination, inspection, operation, physical therapy and rehabilitation can comprise the factors of related equipment, materials, time, methods, implementers, application range, contraindications, charge and the like. The indicia relating to the treatment protocol may include, in addition to the specific elements relating to the treatment protocol, indicia relating to the combination, ordering, etc. of the treatments in the treatment protocol.
The treatment target related mark can be marked according to the value of the treatment target and the specific element thereof related by the rule, and comprises the following steps: treatment, prevention, health care, comfort, examination, detection, weight loss, beauty, anti-aging, index adjustment, status maintenance, nutrition supplementation, fertility/sex correlation, and the like.
The population-related markers may be marked according to a patient population to which the rule relates, including: age, sex, race, weight, genetic-related conditions, family health-related conditions, allergy history, living environment, medication history, surgical history, learning conditions, working conditions, family conditions, hobbies, growth and development, physiological stage, marriage and childbirth conditions, eating conditions, work and rest habits, physical disability conditions, mental health conditions, intelligence conditions, immunity conditions, and the like. The patients herein may also include healthy persons who need to be treated, such as subjects who undergo cosmetic surgery, healthy subjects who participate in clinical trials, donor providers who undergo transplant surgery, persons who participate in physical examination, and the like.
Disease-associated markers may be labeled according to the disease to which the rule relates, including specifically: disease, symptom, index, feeling, medical history, symptom type, examination result, risk factor, medical history, surgical history, medication history, family medical history, etc. Such as: family history of hemophilia, history of heart bypass surgery, hypertension, high body temperature rise, etc.
The therapeutic effect related marker can be marked according to the therapeutic effect related to the rule and the value of the specific element thereof, and comprises the following steps: the effectiveness of disease prevention and prevention, the cure and cure rate of diseases, index improvement and improvement, aging delay, pain reduction, risk reduction, body function and shape change and the like.
The person-related tags may be tagged according to the persons involved in the rule, including: doctors, pharmacists, nurses, test/assay technicians, managers, medical insurance auditors, patients, caregivers, and the like.
The user usage related mark can be marked according to the user usage related by the rule, and comprises the following steps: usage rule user number, usage rule user rating, user data analysis, expert opinion, and the like.
When the relevant rules are marked according to the contents of the relevant rules of reasonable treatment schemes and compliance in the database, various marks of the contents of the rules can be graded or scored according to the business requirements of different users, so that the users can conveniently select the relevant rules which are suitable for the reasonable treatment schemes and compliance. Such as: the contraindication mark in the analysis item related marks is set as a first level, and the level of the contraindication related rule is higher, so that the influence of the treatment scheme on the safety of the patient is highlighted when the intelligent medical system is used for analyzing the treatment scheme.
The management method of the treatment scheme rule base further comprises the following steps: corresponding grades/scores are respectively set for part/all marks of each rule/each group of rules according to user services, and relative weights of each mark classification can be set according to actual conditions, so that when a user selects a proper rule, the comprehensive grade/score of the related rule can be calculated according to the grade/score corresponding to each mark of the related rule and the relative weight of each mark classification, and the user can conveniently select the proper rule.
When the level/score is set for the treatment plan related rule flags in the database, each rule may be flagged, or rule flag groups may be set according to the relationship between the rules. Such as: adverse reaction related rules of the macrocyclic antibiotics can be divided into a group, and the grade/score of the rules are set uniformly. For another example: when the level is set for the mechanism source related mark, the users of the domestic medical mechanisms can be divided into one group, the national health committee is uniformly set as the first level, and the city health committee of each province is set as the second level.
The specific calculation method of the comprehensive grade/score is as follows:
rule X includes n markers, such as data source related markers, institution source related markers, disease related markers, and the like.
M＝m1+…+mn
gi(X) a marker m representing a rule XiThe corresponding level/score. T isiIndicates a mark miRelative weight of the label class in which it is located.
G (X) represents the overall level/score of rule X.
The user can set the comprehensive level/score condition of the rule which needs to be included in the self-defined rule base, and for the rule in the database, if the comprehensive level/score of the rule is higher than the comprehensive level/score condition set by the user, the rule is selected as the rule in the self-defined rule base of the user. Therefore, the user can quickly select the rule to construct the custom rule base.
The user may also set the usage levels of different overall level/score range rules at different business units after selecting the rule range. Specifically, the usage of the rule may be set as follows according to the comprehensive level/score range of the rule: no-enable, force, fixed, recommended, advise, sound, condition sound, prompt, alert, warning, limit, condition pass, inhibit, strictly inhibit, force inhibit, etc. to support the relevant requirements of the system for rule use.
Different intelligent models can be correspondingly generated according to the grade/score set by each mark of each rule and the relative weight of each mark classification, so that the related intelligent models can be used/referenced under the same/similar conditions, and the setting of the intelligent models can be continuously optimized and adjusted in the using process.
In the invention, the treatment scheme self-defined rule base can be independent, can also be a part of the whole rule base of the intelligent medical system, and can also be a part of the knowledge base of the intelligent medical system.
The method for managing the treatment plan rules further comprises the following steps: the user can set different business subunit custom rule systems according to the business requirements of each subunit on the basis of the unified custom rule base, and each subunit can adjust on the basis of the unified custom rule base according to the business requirements of the subunit, including the adjustment of the selection of the rules and the adjustment of the rule application level, so as to support the relevant requirements of each subunit on the rules.
The generation of the relevant rule base with reasonable and compliant customized treatment scheme can be finished by the user, can be finished by a third party assisting the user, and can also be generated by a rule selection scheme which is used by the user and is consistent with other users.
In the present invention, different sub-service units can be set according to different uses of users, such as: auditing, recommending, instructing, medical insurance settlement and the like. Different sub-service units can select different rules according to the needs of the sub-service units, and configure different custom rule bases.
The sub-business units can also be divided and defined according to the nature and the level of the user by the dimensions of administrative regions, administrative affiliations, medical institution levels, medical institution specials, medical insurance payment qualifications of medical institutions, various rating levels of medical institutions, departments, ward areas, doctors, diseases, treatment schemes, patients, medicines and the like and the combination of different levels of the dimensions. Administrative affiliation includes: national Weijian Commission, provincial Weijian Commission, City Weijian Commission, county Weijian Commission, medical group, medical alliance, civil and camp hospital, etc. The medical institution ratings include: informatization rating, management rating, medical quality rating, business management rating, patient service rating, and the like.
For example: the medicine taking catalogs of different hospitals under the medical group are different, and each hospital can select the medicine range covered by the self-defined rule base of the hospital according to the medicine taking catalogs thereof on the basis of unifying the self-defined rule base of the medical group to generate the self-defined rule base of each hospital sub-business unit. The unified self-defined rule base of the medical group and the self-defined rule base of the selected and adjusted sub-business units of each hospital form a complete related rule system of the intelligent medical system.
The management method of the treatment scheme rule base further comprises the step that a user optimizes the treatment scheme self-defined rule base according to self needs, wherein the optimization self-defined rule base is realized by adjusting and adding rule marks, or modifying selection conditions of self-defined rule base rules, or modifying related rules.
The management method of the treatment scheme rule base further comprises the following steps: and comparing the treatment scheme data of the user/user sub-service unit with the relevant rules of the treatment scheme in the database, and analyzing the rules related to the treatment scheme of the user, the distribution of the rule sources and the specific content.
By analyzing the relevant rules of the treatment scheme, the distribution of the source of the rules and the specific content of the rules in the receipt library related to the actual treatment method scheme of the sub-business unit of the user/user, on one hand, the user can be further helped to master the actual situation of the user, and the relevant rules of reasonable and compliant treatment schemes in the intelligent medical system rule library are better selected and updated through marks of different dimensions of the source and the content, so that a custom rule library/system suitable for the business requirements of the user is generated. On the other hand, the defects of the self-treatment scheme can be analyzed and improved measures can be made through comparison of the rules actually used by the self-treatment scheme with relevant standards or medical institutions with higher speciality. When a doctor formulates a treatment scheme or audits and reviews the treatment scheme, the doctor can prompt medical staff that the treatment scheme conforms to reasonable and compliance related rules and related marks of sources and contents of the rules, so that the rules can be checked, and the medical staff can judge and analyze the reasonable compliance of the treatment scheme better.
The method for managing the treatment scheme rules further comprises a treatment scheme multi-dimensional element attribute dictionary, wherein the treatment scheme multi-dimensional element attribute dictionary is used for processing matching/comparison of data of different sources, different data structures, different descriptions and different data standards with related information and rules in a treatment scheme rule base.
In the method for managing the rules of the treatment plan, the marks of the rules can be automatically established through big data analysis/artificial intelligence technology or can be established manually.
According to the method for managing the treatment scheme rules, the user-defined rule base of the treatment scheme is established by analyzing the actual business/historical business data of the user and the business requirements of the user, automatically recommending or referring to the user-defined rule base of other users through manual recommendation, big data analysis and artificial intelligence technology, and establishing after user confirmation.
The various data acquired by the method for managing a treatment plan rule base of the present invention may be all data, or may be data for setting some conditions as needed, for example: data for a certain time period, data of a patient at a certain hospital/department/doctor, etc.
The management method of the treatment scheme rule base further comprises a treatment scheme multi-dimensional element attribute dictionary which is used for processing matching/comparison of data with different sources, different data structures, different descriptions and different data standards and related information and rules in the treatment scheme rule base.
The treatment scheme multi-dimensional element attribute dictionary comprises a standard dictionary, a synonym corresponding dictionary and a fuzzy matching dictionary of each element attribute related to the treatment scheme, and the matching/comparison of data with different sources, different data structures, different descriptions and different data standards and the related data and rules of the treatment scheme rule base is realized by comparing original data with the synonym corresponding dictionary, or firstly converting the original data into a format corresponding to the standard dictionary and then comparing the original data, or carrying out fuzzy matching comparison on the original data, or mixing the methods.
The treatment scheme multi-dimensional element attribute dictionary can be established independently or can be included in an intelligent medical system rule base.
The real treatment scheme information is converted through the treatment scheme multi-dimensional element attribute dictionary, for example, prescription information is as follows: male, age 65, diagnosis: primary hypercholesterolemia, creatinine clearance: 25 ml/min, drug: shujiang, initial dose: 10 mg/day; converting the creatinine clearance rate of 25 ml/min of the patient into serious renal insufficiency through a multi-dimensional element attribute dictionary of the treatment scheme, and finding a corresponding usage dosage rule in a treatment scheme rule base: initial dose 5 ml/day; prompting by the intelligent medical system: the therapeutic use of drugs is problematic.
In the present invention, the marking of rules can be established automatically by big data analysis/artificial intelligence techniques, or manually. By means of big data analysis/artificial intelligence technology, the content of the rule and the key words contained in the source of the rule are automatically searched, compared and judged with the existing mark, and if the content of the rule and the key words are in accordance with the existing mark, the key words are automatically established as the mark. The big data analysis/artificial intelligence technique may include: keyword retrieval, speech recognition, semantic recognition, OCR recognition, gesture recognition, source recognition, reference data analysis, translation of different languages, virtual reality techniques, augmented reality techniques, and the like.
In the invention, the user-defined rule base can be established by automatic recommendation through an artificial intelligence technology according to the actual service/historical service data and the requirement analysis of the user on the service; or the rule base can be established by referring to a custom rule base of similar users after user confirmation. Finding out the most suitable rule of the user by analyzing the actual service/historical service data of the user and the requirement analysis of the user on the service; the user-defined rule base suitable for the user is generated by comparing the user-defined rule base with the user-defined rule base of similar users according to the attributes of the user such as the region, the level, the special subject and the like and adjusting the selection of the rules.
A method for managing rules of an intelligent medical treatment protocol system as described above, the method further comprising: according to the requirements of different users, rules and display methods of the marks can be set, so that the users can view the related marks of the treatment scheme rules used in the intelligent medical system or view the rules corresponding to the related marks.
A second embodiment of the present invention is seen in figure 2. Fig. 2 is a system block diagram of a system for managing rules of a treatment plan according to a second embodiment of the present invention. The invention relates to a management system of treatment scheme rules, wherein the intelligent medical treatment scheme system rules comprise relevant rules of reasonable and compliant treatment schemes, and the management system comprises:
a rule marking unit 11, configured to mark each/each set of treatment plan related rules in the database according to the source of the rules and the content of the rules;
a rule selecting unit 12, configured to select an appropriate rule according to the mark by the user according to the service requirement of the user;
and the rule base generation unit 13 is used for generating a treatment scheme customized rule base meeting the requirements of the user and applying the customized rule base to the intelligent medical system of the user.
In this embodiment, the intelligent medical system includes a therapy regimen rule base.
The technical features of the management system of a treatment plan rule and the management method of a treatment plan rule of the present invention are in one-to-one correspondence, and reference may be made to the description of the foregoing methods, which are not repeated herein.
A third embodiment of the present invention is seen in fig. 3. Fig. 3 is a hardware block diagram of a management apparatus for rules of a treatment plan according to a third embodiment of the present invention. The invention relates to a management device of treatment scheme rules, which comprises relevant rules of reasonable and compliant treatment schemes, and comprises the following components:
a rule marking module 21, configured to mark each/each set of treatment plan rules in the database according to the source of the rules and the content of the rules;
a rule selection module 22, configured to select an appropriate rule according to the mark according to the service requirement of the user;
and the rule base generation module 23 is used for generating a treatment scheme customized rule base meeting the requirements of the user and applying the customized rule base to the intelligent medical system of the user.
In this embodiment, the intelligent medical system includes a therapy regimen rule base.
The technical features of the management device for the treatment plan rules and the management method for the treatment plan rules of the present invention are in one-to-one correspondence, and reference may be made to the description of the foregoing methods, which is not repeated herein.
In summary, according to the method, the system and the device for managing the treatment scheme rules, the relevant rules of each treatment scheme in the database are marked according to the source and the content of the rules, and the user selects the appropriate rules according to the self-service requirements and the marks, so that a treatment scheme self-defined rule base meeting the requirements of the user is generated and is applied to the intelligent medical system of the user. By the method, the system and the equipment for managing the treatment scheme rules, a user can select a rule set meeting the self-demand as a treatment scheme self-defined rule base of an intelligent medical system based on the current situations of different business units and can adjust the rules in real time, so that an information rule management system is quickly established by taking the reasonable treatment scheme and the compliance management and control requirements as targets, and the aims of improving the medical safety of patients, improving the medical quality, reducing the unreasonable medical cost and reasonably distributing medical resources are fulfilled.
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 (11)
1. A method of managing treatment regimen rules, the treatment regimen rules including rules relating to the rationality and compliance of a treatment regimen, the method comprising:
marking each/each group of treatment plan associated rules in the database according to the source of the treatment plan associated rules and the content of the rules;
selecting a proper rule according to the mark according to the service requirement of the user, and generating a treatment scheme self-defining rule base which meets the requirement of the user;
and applying the treatment scheme self-defining rule base to the intelligent medical system of the user.
2. A method of managing rules of a treatment plan as set forth in claim 1, wherein: the source mark of the rule comprises at least one of a geographic source related mark, an organization source related mark, a material source category related mark, an author source related mark, an evidence level related mark, an administrative certification/recommendation level related mark and a time/version related mark.
3. A method of managing rules of a treatment plan as set forth in claim 1, wherein: the content markers of the rules include at least one of analysis item-related markers, treatment plan/treatment method-related markers, treatment target-related markers, population-related markers, disease-related markers, treatment effect-related markers, person-related markers, and user usage-related markers.
4. A method of managing a rule according to any one of claims 1 to 3, further comprising: based on user service, each strip is/are selected
And when the user selects a proper rule, the comprehensive grade/score of the related rule can be calculated according to the grade/score corresponding to each mark of the related rule and the relative weight of each mark classification, so that the user can select the proper rule conveniently.
5. A method of managing a therapy regimen rule according to any one of claims 1-4, further comprising: the user can set different business subunit custom rule systems according to the business requirements of each subunit on the basis of the unified custom rule base, and each subunit can adjust on the basis of the unified custom rule base according to the business requirements of the subunit, including the adjustment of the selection of the rules and the adjustment of the rule application level, so as to support the relevant requirements of each subunit on the rules.
6. A method of managing rules of a treatment plan according to any one of claims 1-6, wherein: the method also comprises the step that the user optimizes the user-defined rule base according to the self requirement, wherein the user-defined rule base is realized by adjusting and adding the rule marks, or modifying the selection conditions of the rules of the user-defined rule base, or modifying the related rules.
7. A method of managing a rule according to any one of claims 1 to 3, further comprising: and comparing the treatment scheme data of the user with relevant rules in the treatment scheme rules in the database, and analyzing the rules related to the treatment scheme of the user, the distribution of the rule sources and specific contents.
8. A method of managing a rule according to any one of claims 1 to 8, further comprising: the usage of rules may be ranked according to the business needs of different users, and may include: the system comprises at least one level of non-enabling, mandatory, fixed, recommended, suggested, fair, conditional fair, prompt, alert, warning, limit, conditional pass, forbidden, strict forbidden, mandatory forbidden, etc., to support the relevant application requirements of the user for different rules.
9. A method of managing a rule according to any one of claims 1 to 9, further comprising: according to the requirements of different users, rules and display methods of the marks can be set, so that the users can view the related marks of the treatment scheme rules used in the intelligent medical system or view the rules corresponding to the related marks.
10. A system for managing rules of a treatment plan, wherein the rule base of the treatment plan includes relevant rules for rationalizing and conforming the treatment plan, the system comprising:
a rule marking unit for marking each rule/group of rules of the treatment plan rules in the database according to the source of the rules and the content of the rules;
a rule selecting unit, which is used for selecting a proper rule according to the mark according to the service requirement of the user;
and the rule base generation unit is used for generating a user-defined rule base which meets the requirements of the user according to the selected rule and applying the user-defined rule base to the intelligent medical system of the user.
11. A management apparatus for a treatment plan rule including rules relating to rationality and compliance of a treatment plan, the management apparatus comprising: the rule marking module is used for marking the relevant rules of each treatment scheme/each group of treatment schemes in the database according to the source of the rules and the content of the rules;
the rule selection module is used for selecting a proper rule according to the mark according to the service requirement of the user;
and the rule base generation module is used for generating a user-defined rule base which meets the requirements of the user according to the selected rule and applying the user-defined rule base to the intelligent medical system of the user.
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| CN112308371A (en) * | 2020-09-22 | 2021-02-02 | 成都飞机工业（集团）有限责任公司 | Management and control system and management and control method for typical test of airplane |
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| CN112308371A (en) * | 2020-09-22 | 2021-02-02 | 成都飞机工业（集团）有限责任公司 | Management and control system and management and control method for typical test of airplane |
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