CN111627545A - Management method, system and equipment for medical examination and inspection rules - Google Patents
Management method, system and equipment for medical examination and inspection rules Download PDFInfo
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Abstract
The invention discloses a management method, a system and equipment for checking and checking rules, which are used for marking each checking and checking related rule in a database according to the source and the content of the rule, selecting a proper rule according to the mark and the user service requirement, generating a checking and checking custom rule base meeting the user requirement, and applying the checking and checking custom rule base to an intelligent medical system of a user. By the management method, the system and the equipment for the inspection and test rules, the rule set meeting the requirements of users can be selected to serve as the inspection and test self-defined rule base of the intelligent medical system based on the current situations of different business units, and the rules can be adjusted in real time, so that an information rule management system is quickly established aiming at reasonable inspection and test and compliance management and control requirements, and the aims of improving the medical safety of patients, improving the medical quality, reducing unreasonable medical cost and reasonably distributing medical resources are fulfilled.
Description
Technical Field
The invention relates to the technical field of intelligent medical information processing, in particular to a management method, a system and equipment for checking the reasonability and compliance rules.
Background
The examiner often needs to perform various medical examinations and examinations in outpatient service/emergency service/hospitalization/physical examination, and the examination and examinations of the human tissues and materials, human metabolites, human biological information, and physiological indexes of the examiner in the medical examinations and examinations are performed in the aspects of microbiology, immunology, biochemistry, genetics, pathology, hematology, physiology, physics, cytology, psychology, and the like, so as to provide information for the prevention, diagnosis, treatment of human diseases, and assessment of human health conditions and physiological functions. Whether medical examination and inspection are reasonable and directly related to human health assessment, effective treatment of diseases, reasonable distribution of medical resources, safety and health of inspectors and the like is a key for guaranteeing medical quality, controlling unreasonable medical expenses and maintaining rights and interests of inspectors.
With the development and application of modern information technology, the appearance of intelligent medical systems provides good auxiliary tools for intelligent analysis, intelligent management and intelligent recommendation of examination and inspection, so that comprehensive acquisition, analysis and application of mass data become possible, and huge effects are gradually exerted on guaranteeing the reasonability and compliance of examination and inspection of patients.
The rationality and compliance of the examination and inspection are usually analyzed according to the actual clinical disease information by using a predetermined rule as a standard, or the corresponding examination and inspection is intelligently recommended according to the patient condition. Therefore, the key point of the auxiliary treatment of the intelligent medical system is to establish a set of practical, balanced and scientific standard rules for examination and inspection, and then the intelligent medical system can assist doctors, inspectors, nurses and related managers to analyze the reasonability and compliance of the examination and inspection according to the actual business of users, or recommend the related examination and inspection to doctors, pharmacists, patients and the like so as to achieve the purposes of preventing, finding and avoiding various risks related to the examination and inspection. 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 auxiliary examination and inspection by 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 found by the system, the targets of controlling and inhibiting unreasonable non-compliance examination and inspection phenomena cannot be achieved, a large number of unreasonable expenses cannot be effectively controlled, and the treatment of patients also 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, some practical and reasonable examination and inspection are regarded as problems, a large amount of manual examination and inspection workload is brought to an examination and inspection organization, conflicts between management departments and doctors are caused, an ideal intelligent pre-examination function is not achieved, and unnecessary burden is added to daily diagnosis and treatment work of doctors and information systems of the medical institutions.
The medical examination and inspection operation flow, expert consensus, clinical treatment path, guideline, treatment standard, medical regulation and other data are used as the professional basis for doctors to formulate examination and inspection schemes and relevant departments to carry out reasonable examination and inspection and control compliance, and the relevant content is the source of the rules for reasonable examination and inspection and compliance development. 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, since some of the data source standards, updated versions, changed sources, etc. including the standard rules have great randomness, the user cannot conveniently know which rules of the specifications, guidelines, prescription sets, etc. are included in the standard rules during the process of using the system, and also cannot know what version of the data is specifically included, there is no way to manage the standard rules used by himself, and the reasonability and compliance of the inspection and inspection based on the analysis of the standard rules cannot be accurately controlled, and the inspection and inspection reasonability and compliance rule standard data system conforming to the user's own conditions cannot be established. Therefore, a set of method, system and device for managing and checking the inspection rule by the user according to the self condition is needed, so that the user can conveniently, accurately and scientifically generate and maintain the relevant rule base, the intelligent medical system can better meet the actual business requirement, and relevant persons and organizations are assisted to discover and avoid relevant risks possibly occurring in the inspection.
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 inspection and test 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 inspection and test aiming at different medical service units, and can apply a related intelligent system to assist doctors, pharmacists, medical quality control personnel, medical expense management personnel, management personnel and the like to ensure the medical quality of different medical institutions, control unreasonable medical expenses, maintain the safety and rights and interests of patients, promote the reasonable distribution and use of medical resources and the like.
The invention is realized by the following technical scheme:
the invention provides a management method for checking inspection rules, which comprises related rules for checking inspection reasonableness and compliance, and comprises the following steps:
marking each/each group of inspection and inspection related rules in the database according to the source of the inspection and inspection 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 check custom rule base which meets the requirement of the user;
the self-defined rule base of the check and verification is applied to the intelligent medical system of the user.
A method for managing inspection rules as described above, wherein the source tags of the rules include at least one of geographic source related tags, organization 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.
The method for managing the inspection and verification rule comprises the steps that the content mark of the rule comprises at least one of an inspection and verification related mark, an analysis item related mark, an inspection and verification purpose related mark, a crowd related mark, a disease related mark, an operation related mark, an inspection and verification effect related mark, a personnel related mark and a user use related mark.
A management method of checking a collation rule 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 management method of checking a collation rule as described above, the method further comprising: the user can set different business subunit self-defined rule systems according to the business requirements of each subunit on the basis of a unified self-defined rule base, and each subunit can adjust on the basis of the unified self-defined rule base according to the business requirements of the subunit, wherein the adjustment comprises 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 management method for checking the inspection rule further comprises that the user optimizes and checks the inspection customized rule base according to the requirement of the user, wherein the optimized customized rule base is realized by adjusting and adding the rule marks, or modifying the selection condition of the customized rule base rules, or modifying the related rules.
A management method of checking a collation rule as described above, the method further comprising: comparing the checking data of the user with relevant rules in the checking rules in the database, and analyzing the rules related to the checking of the user, the distribution of the rule sources and the specific content.
A management method of checking a collation rule as described above, the method further comprising: the usage of the 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, restrictive, conditional pass, forbidden, strictly forbidden, mandatory forbidden, etc., to support the relevant application requirements of the user for different rules.
A management method of checking a collation rule 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 related marks of the examination and verification rules used in the intelligent medical system or view rules corresponding to the related marks.
The present invention also provides a management system for checking inspection rules, wherein the inspection rules include relevant rules for checking reasonableness and compliance, and the management system comprises:
the rule marking unit is used for marking each rule/each group of rules in the checking and checking related rules in the database according to the source of the rules and the content of the rules;
the rule selection unit 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 checking a checking rule including rules related to checking the reasonableness and the compliance of the check, the management apparatus including:
the rule marking module is used for marking each/each group of check and check related rules 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 user service requirement and the mark;
and the rule base generation module is used for generating the selected rule into a check self-defined rule base meeting the requirements of the user and applying the self-defined rule base to the intelligent medical system of the user.
The invention discloses a management method, a system and equipment for checking and checking rules, which are used for marking each rule in the checking and checking rules in an intelligent medical system according to the source and the content of the rule, and generating a checking and checking custom rule base meeting the requirements of a user according to the business requirements of the user and the marked proper rule, and are applied to the intelligent medical system of the user. By the management method, the system and the equipment for the inspection and inspection rules, different users can select practical and balanced inspection and inspection rule construction standards according to self requirements and select proper data ranges and data levels as the basis to establish an inspection and inspection rule base to be applied to the intelligent medical system according to different service units, and can dynamically manage related data, so that the intelligent medical system of the users can play a greater role in guaranteeing the reasonability and the standard of inspection and inspection, reducing medical related risks, controlling unreasonable medical expenses, maintaining the safety and the rights and interests of patients and promoting the reasonability distribution and the use of medical resources.
Drawings
FIG. 1 is a flowchart illustrating a method for checking management of inspection rules according to a first embodiment of the present invention.
Fig. 2 is a system block diagram of a management system for checking a verification rule according to a second embodiment of the present invention.
Fig. 3 is a hardware block diagram of a management apparatus for checking a rule 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 flow chart of a method of managing a check rule according to the present invention. The invention relates to a management method for an inspection rule base, wherein the intelligent medical system rule base comprises relevant rules for inspecting reasonableness and conformity, and the management method for the intelligent medical system rule base comprises the following steps:
s1: each/every set of check-related rules in the database is marked according to the source of the rule and the content of the rule.
S2: and selecting a proper rule by the user according to the service requirement of the user and the mark to generate a check self-defined rule base which meets the requirement of the user.
S3: the self-defined rule base of the check and verification is applied 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 classified paths and classification names, that is, corresponding marks.
If a user needs to use the intelligent medical system, particularly the relevant inspection and inspection system, to analyze, recommend and guide the inspection and inspection of a patient, the system should first include the inspection and inspection rules, the intelligent medical system rule base includes the relevant rules for the reasonability and compliance of the inspection and inspection, and the intelligent medical system screens the relevant problems of the inspection and inspection according to the relevant rules for the reasonability and compliance of the inspection and inspection 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 relevant rules for examination and examination in the database is based on medical examination and examination procedures, specifications of various products, clinical treatment routes, guideline, diagnosis and treatment standard, industry standard, textbook, medical specification, medical equipment use/operation specification, medical instrument use specification, operation specification, examination/examination specification, prescription set, pharmacopeia, expert consensus, expert experience, conference discipline and consensus in hospital/department, treatises, monographs, inventions, scientific inferences, experimental reports, data analysis reports, test reports, examination reports, approval documents, relevant regulations, relevant guidelines, relevant system, relevant catalog, relevant literature data, relevant price regulations, relevant price catalog, etc, The relevant bidding result, the relevant price policy, the relevant insurance payment terms, the relevant DRGS standard, 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 specificity/authority, a method based on evidence medicine, probability speculation based on the existing data, a database established by sources such as various weights/various levels/various sequences needing to be set manually, a database established by information reforming/information analysis/big data analysis, a database established by artificial intelligent deep learning, or from a database obtained by data mining and analysis, or from rules and indexes manually set by data statistical analysis/artificial intelligence deep learning, or from at least one of relevant information and rules continuously accumulated and refined by clinicians and pharmacists in the course of disease treatment.
In the present invention, the medical examination and inspection refers to the examination and inspection of the human body tissues and materials, human body metabolites/excretions/secretions, various human body sound information, various human body image information, human body metabolism-related information, human body biological information, microorganism-related information in the human body, human body immunity information, growth and development information, physiological functions/functions, physiological indexes, intelligence conditions, psychological states, etc., of the examinee in microbiology, immunology, biochemistry, genetics, pathology, hematology, physiology, physics, cytology, psychology, etc., so as to provide information for the prevention, diagnosis, treatment of human body diseases and the evaluation/prediction/adjustment of human body conditions and abilities, and the specific methods include B-ultrasonography, color ultrasonography, electrocardiogram, CT, nuclear magnetism, chest X-ray, etc, Blood tests, and the like.
In the invention, various marks are established for relevant rules which are reasonable in inspection and are in compliance, so that a user can conveniently and quickly select the rules with the suitable marks according to the self requirement, an inspection self-defined rule base which meets the user requirement is generated, and the method is applied to an intelligent medical system to carry out intelligent analysis on inspection and inspection, and the specific application mode comprises auditing, recommending, guiding, managing and the like of the inspection and inspection. The rules associated with the inspection checks are labeled, and may be labeled according to the source of the rules and the content of the rules.
The source tags for the inspection related rules may include geographic source related tags, organization source related tags, material source category related tags, author source related tags, evidence level related tags, administrative certification/recommendation level related tags, time/version related tags, etc., or other tags related to the source 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 the relevant mechanism, organization or platform; 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 bodies, industry associations/schoolmates, academic unions/platforms, government agencies, legislative bodies, judicial bodies, medical insurance agencies, medical groups/conjunctions/unions/institutions, schools/colleges, research institutes, data analysis agencies, consulting agencies, magazines/periodicals/newspapers/press agencies/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 are 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 evidence level division from related laws and regulations or future sources according to the evidence level division of the evidence-based medical method includes the laws and regulations of each related country and relevant international organizations, and the related evidence-based medical method includes but is 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 the 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 mechanisms of the administrative organization, the industry management organization, the credit evaluation organization, the certification organization, the social organization, the industry organization and the like for certifying or rating the related source, and the specific certification or evaluation level, such as: mandatory level, recommended level, advised level, rational level, prompt level, warning level, restricted level, forbidden level, etc. If the administrative administration issues a 'treatment high-value medical consumable reformation scheme', the administrative organization is marked as follows: administrative departments, recommendation levels are labeled as: 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, expiration time/version number or related meetings, etc. Such as: the source of the relevant rule of the medical consumable management office (trial) of the medical institution is marked as follows: geographical origin-china; institutional sources-now national Wei-Jian Wei; data source-medical institution medical consumables management method (trial); time/version-2019.
When the relevant rules are marked according to the sources of the relevant rules which are checked to be reasonable and qualified 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 self-checking to be reasonable and qualified. 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 drug instruction book is the drug use basis, the related data source mark from the rule of the drug instruction book can be set as level 1, and for the medical institution user, the authority related data source mark level can be set as level 2, which is next to the drug instruction book.
Content indicia for a rule in the database may include analysis item related indicia, exam and exam related indicia, use purpose related indicia, crowd related indicia, illness related indicia, treatment effect related indicia, people related indicia, user use related indicia, and other indicia related to the content of the rule.
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, reuse, combination, allergy, examination condition, examination occasion, examination time, examination method, dosage, adverse reaction, preparation/protective measure, examination result evaluation, reagent/equipment storage condition, 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 contraindication, prohibition, unreliability, cautious development, balanced profit and disadvantage development and the like according to the severity.
Examining the assay-related indicia may include examining an object of the assay: human tissue and materials, human metabolites/excreta/secretions, various voice information of human body, various image information of human body, human metabolism related information, human biological information, microorganism related information in human body, human immunity information, growth and development information, physiological functions/functions, physiological indexes, intelligence status, psychological state, etc.; it may also include checking the inspection method flag: microbiology, immunology, biochemistry, genetics, pathology, hematology, physiology, physics, cytology, psychology and the like, and specific methods including B-ultrasound, color ultrasound, electrocardiogram, CT, nuclear magnetism, chest X-ray, blood examination and the like; it may also be included in the medical examination and verification process that various associated medical instruments may be used: instruments, devices, apparatuses, tools, machines, robots, implants, materials, extracorporeal reagents, topical agents, or other similar or related products, props, models, systems, and also their components or accessories, consumables, systems, databases, and the like; various related drugs may also be included during medical examination and verification.
The inspection purpose related mark can be marked according to the inspection purpose and the value of the specific element thereof related by the rule, and comprises the following steps: treatment, prevention, health care, comfort, weight loss, beauty, anti-aging, nutrition supplementation, fertility/sex correlation, and assessment/prediction/adjustment of human condition and ability, among others.
The population-related markers may be marked according to a patient population to which the rule relates, including: age, sex, ethnicity, 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, diet conditions, work and rest habit, 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 and the like.
The examination-effect-related flag may be flagged according to the value of the treatment effect and its specific element to which the rule relates, including: checking the accuracy of the inspection result, checking the timeliness of the inspection, 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 for checking and checking the reasonableness and the compliance in the database, various marks of the rule contents can be graded or scored according to the business requirements of different users, so that the users can conveniently select the relevant rules suitable for checking and checking the reasonableness and the compliance. Such as: the contraindication mark in the related marks of the analysis items is set as a first level, and the level of the contraindication related rule is higher, so that the influence of the examination and examination on the safety of the patient is highlighted when the examination and examination is analyzed by using the intelligent medical system.
The management method for checking the inspection rule 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 value of the relevant rule flag is checked and checked in the database, each rule may be marked, or the rule flag group may be set according to the relationship between the rules. Such as: when the level is set for the mechanism source related mark, the users of the domestic medical mechanisms can be divided into a 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 level 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: non-enabled, mandatory, fixed, recommended, suggested, fair, conditionally fair, prompt, alert, warning, limit, conditional pass, disable, strictly disabled, forcibly disabled, etc. to support the relevant requirements of the system for rule usage.
Different intelligent models can be correspondingly generated according to the level/score value set by each mark of each rule and the relative weight of each mark class, so that the related intelligent models can be used/referred 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 checking and checking customized 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 management method for checking the inspection rule 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 self-defined 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 self-defined check and compliance can be completed by the user, can be completed by a third party assisting the user, and can also be generated by a rule selection scheme which is consistent with other users and used by the user.
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 self needs, 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 administrative region, the administrative affiliation, the medical institution level, the medical institution specialty, the medical insurance payment quality of the medical institution, various rating levels of the medical institution, the department, the ward, the doctor, the disease, the medical instrument, the patient, the medicine and other dimensions and the combination of different levels of each dimension. 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 medical treatment groups have different medication catalogues of different hospitals, and each hospital can select the relevant rules of the examination items covered by the self-defined rule base of the hospital according to the self-defined item catalog on the basis of the unified self-defined rule base of the medical treatment groups to generate the self-defined rule base of the sub-business units of each hospital. 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 for checking the inspection rule base also comprises the step that a user optimizes and checks the inspection self-defined rule base according to the self requirement, wherein the optimization self-defined rule base is realized by adjusting and adding the rule marks, or modifying the selection condition of the rules of the self-defined rule base, or modifying the related rules.
The management method for checking the inspection rule base further comprises the following steps: and comparing the checking and checking data of the user/user sub-service unit with the relevant checking and checking rules in the database, and analyzing the rules related to the user checking and checking, the rule source distribution and the specific content.
By analyzing the checking rules, the rule source distribution and the specific content in the database related to the actual checking data of the sub-service units 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 checking and compliance in the database can be better selected and updated through the marks of different dimensions of the source and the content, so that a custom rule base/system suitable for the service requirement of the user is generated. On the other hand, the defects existing in the self-checking inspection can be analyzed and improved measures can be made through comparison of the rules actually used by the self-checking inspection and relevant standards or medical institutions with higher specialties. And when doctor orders are checked or audited and commented, medical staff are prompted to use relevant rules of checking reasonability and compliance which are met by the checking and related marks of sources and contents of the relevant rules, so that the rules can be checked, and the medical staff can judge and analyze the reasonable compliance of the checking and checking better.
The various data acquired by the management method for checking the inspection rule according to the present invention may be all data, or may be data for setting some conditions as required, for example: data over a certain time period, data of the patient at a certain hospital/department/doctor, etc.
The management method for checking and checking the rule also comprises a checking and checking multidimensional 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 a checking and checking rule base.
The checking and checking multi-dimensional element attribute dictionary comprises a standard dictionary, a synonym corresponding dictionary and a fuzzy matching dictionary for checking and checking related element attributes, and the matching/comparison of data with different sources, different data structures, different descriptions and different data standards and related data and rules of a checking and checking 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 checking and checking multidimensional element attribute dictionary can be established independently or can be included in a checking and checking rule base/intelligent medical system rule base.
The real examination and examination information is converted through the examination and examination multi-dimensional element attribute dictionary, for example, the patient information is: male, age 65, diagnosis: primary hypercholesterolemia, examination results: creatinine clearance 25 ml/min, drug: shujiang, initial dose: 10 mg/day; patient creatinine clearance rates of 25 ml/min were converted to severe renal insufficiency by examining a multidimensional element attribute dictionary, suggesting a need for drug use rationality assessment.
In the present invention, the marking of the rules can be established automatically by big data analysis/artificial intelligence techniques, or can be established 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, cited 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 business/historical business data and the requirement analysis of the user on the business; 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 region, level, special subject and the like, and adjusting the selection of the rules.
A method for managing rules of an intelligent medical examination and verification 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 related marks of the examination and verification rules used in the intelligent medical system or view 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 management system for checking a check rule according to a second embodiment of the present invention. The invention relates to a management system for checking inspection rules, which comprises relevant rules for checking reasonableness and conformity of inspection, and comprises:
a rule marking unit 11, configured to mark each/each group of check and verification related rules in the database according to the source of the rule and the content of the rule;
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 check and verification custom rule base meeting the requirements of the user and applying the custom rule base to the intelligent medical system of the user.
In this embodiment, the intelligent medical system includes a library of exam verification rules.
The technical features of the management system for checking the inspection rule and the management method for checking the inspection rule of the present invention are in one-to-one correspondence, and the description of the foregoing methods can be referred to, and will not be repeated herein.
A third embodiment of the present invention is seen in fig. 3. Fig. 3 is a hardware block diagram of a management device for checking a check rule according to a third embodiment of the present invention. The invention relates to a management device for checking inspection rules, which comprises relevant rules for checking reasonable inspection and compliance, and comprises:
a rule marking module 21, configured to mark each check and verification related rule in the database according to a source of the rule and a content of the rule;
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 check and verification custom rule base meeting the requirements of the user, and applying the custom rule base to the intelligent medical system of the user.
In this embodiment, the intelligent medical system includes a library of exam verification rules.
The technical features of the management device for checking the inspection rule and the management method for checking the inspection rule of the present invention are in one-to-one correspondence, and the description of the foregoing method can be referred to, and will not be repeated herein.
In summary, according to the management method, system and device for the inspection and verification rules, each inspection and verification related rule in the database is marked according to the source and content of the rule, and the user selects an appropriate rule according to the self business requirement and the mark, so that an inspection and verification custom rule base meeting the user requirement is generated and applied to the intelligent medical system of the user. By the management method, the system and the equipment for the inspection and test rules, a user can select a rule set meeting the self-requirement as an inspection and test 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 informatization rule management system is quickly established aiming at the reasonability of inspection and test and the compliance management and control requirements, 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, objects, technical solutions and advantages of the present invention are further described in detail, it should be understood that the above-mentioned embodiments are only specific 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 inspection rules including rules relating to inspection for rationality and compliance, the method comprising:
marking each/each group of inspection and verification related rules in the database according to the source of the inspection and verification related rules and the content of the rules;
selecting a proper rule according to the mark according to the user service requirement, and generating a checking and checking custom rule base which meets the user requirement;
the self-defined rule base of the check and verification is applied to the intelligent medical system of the user.
2. A management method for checking a collation rule according to 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 management method for checking a collation rule according to claim 1, wherein: the content mark of the rule comprises at least one of a check related mark, an analysis item related mark, a use purpose related mark, a crowd related mark, a disease related mark, an operation related mark, a treatment effect related mark, a personnel related mark and a user use related mark.
4. A method for managing the checking of rules for verification according to any of claims 1-3, characterized in that it further comprises: 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.
5. A method for managing the checking of rules for verification according to any of claims 1 to 4, characterized in that it further comprises: 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 the checking of rules of inspection according to any of claims 1 to 5, characterized in that: 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 for managing the checking of rules for verification according to any of claims 1-6, characterized in that it further comprises: and comparing the checking and checking data of the user with relevant rules in the checking and checking rules in the database, and analyzing the rules related to the checking and checking of the user, the distribution of the rule sources and the specific content.
8. A method for managing the checking of rules for verification according to any of claims 1 to 7, characterized in that it further comprises: 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 for managing the checking of rules for verification according to any of claims 1-8, characterized in that it further comprises: according to the requirements of different users, rules and display methods of the marks can be set, so that the users can view related marks of the examination and verification rules used in the intelligent medical system or view rules corresponding to the related marks.
10. A management system for checking inspection rules, said checking inspection rules including relevant rules for checking that inspection is in good use and in compliance, said management system comprising: the rule marking unit is used for marking each relevant rule/each relevant group of rules used for checking and checking 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 the selected rule into a self-defined rule base for inspection and verification according with the user requirements, and applying the self-defined rule base for inspection and verification to the intelligent medical system of the user.
11. A management apparatus for checking a rule of inspection including a rule related to checking of inspection rationality and compliance, characterized by comprising:
a rule marking module for marking each/every group of check and check in the database with related rules 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 the selected rules into a user-defined rule base which is used for checking and verifying the selected rules according with the requirements of the user, and applying the user-defined rule base to the intelligent medical system of the user.
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