CN114400091B - Medical prevention fusion system based on informatization - Google Patents
Medical prevention fusion system based on informatization Download PDFInfo
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- CN114400091B CN114400091B CN202210075407.5A CN202210075407A CN114400091B CN 114400091 B CN114400091 B CN 114400091B CN 202210075407 A CN202210075407 A CN 202210075407A CN 114400091 B CN114400091 B CN 114400091B
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- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
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- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
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- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
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Abstract
The invention provides an informatization-based medical prevention fusion system, which executes informatization comprehensive treatment on clinical patients or objects monitored by the medical prevention fusion system by combining medical confidence results of a family doctor module and clinical monitoring results of a clinical monitoring module. Meanwhile, the invention eliminates the health medical objects which are prevented or medically treated dynamically through the system, reduces the medical resource expenditure, and provides higher security guarantee for the medical treatment of the system by the medical decision module for carrying out secondary negotiation before the medical treatment is executed.
Description
Technical Field
The invention belongs to the technical field of medical informatization, and particularly relates to a medical prevention fusion system based on informatization.
Background
With the trend of technology upgrading of the medical industry, the digitization and informatization platform system is introduced into the medical health industry to guide medical information to smoothly carry out digitization and clouding, so that the medical technology level is improved, and digitized medical resources and medical information are shared.
Generally speaking, medical informatization, that is, digitization, networking and informatization of medical services, means that collection, storage, processing, extraction and data exchange of patient information and management information are provided for hospitals and departments to which the hospitals belong through computer science, modern network communication technology and database technology, and functional requirements of all authorized users are met. Medical informatization is an industry with relatively complex informatization construction. Medical informatization in a narrow sense includes hospital management informatization, clinical management informatization and public health informatization; the medical informatization in a broad sense also includes medical insurance informatization and medicine circulation informatization.
The system provides medical software research, development, sale and technical service services, belongs to medical informatization universal access service, and also comprises a computer hardware provider and a small part of general software providers; the upstream is software system development resources, computer hardware spare and accessory parts and the like; the downstream is mainly medical and health institutions such as hospitals, health homes, community health service centers (stations), outpatient departments, nursing homes, women and children health care homes, specialized disease prevention and treatment institutions, disease prevention and control centers, medical research institutions, all-level medical and health administrative management institutions and the like.
The development of the medical informatization industry is generally considered to go through three distinct stages. The first generation of medical informatization construction is the HIS with finance as a core. Until now, manufacturers still keep busy with the difference between the general ledger and the branch ledger of the finance, the sum of bills of the invoice and the difference between the total amount of the invoice, research and development personnel carry out various 'technical' treatments, and implementers carry out the unification of various statistical calibers. The second generation of medical informatization construction is a CIS with an electronic medical record as a core. Is the case history document, care document, structured, semi-structured, three-level quality control, true and true printed case history and database storage not different? Can the validity, completeness, consistency, uniqueness and accuracy of the data quality requirements be guaranteed? The third generation of medical information construction is intelligent and intelligent. Although HIE (medical information exchange) and ESB (enterprise service bus) facilitate these new levels of data exchange, bus technology does not address management and processing in shared data, data inconsistencies in production systems, incompleteness, different data fields representing the same meaning, different code versions for the same data fields, ambiguous metadata, and data and metadata separation, among other things. Most hospitals are concerned about business over data, and data standards are used less often. Therefore, CDSS, BI and clinical scientific research are difficult to be really applied, and the data value of CDSS, BI and clinical scientific research is difficult to realize.
With the trend of medical informatization, information management and data management are emerging in the medical industry. The data governance system is a system for comprehensively combing, constructing and continuously improving various aspects of data models, data architectures, data quality, data safety, data life cycles and the like of an organization from multiple dimensions such as organization architectures, management systems, operation specifications, IT application technologies, performance assessment support and the like. The method mainly comprises the following steps: organization architecture management, data standard management, metadata management, data quality management, data asset management, and data security management.
In the prior art, research on medical information systems often focuses on datamation of medical information, differential input and storage of the medical information caused by the fact that the medical information is based on medical information sources and confidence difference are not considered, in the data analysis process, the same analysis is often simply performed on medical information data, the prevention and medical technology lines are not obviously distinguished, unified information analysis is low in fitness of individual patients, and the medical effect is not expected.
The invention provides an informatization-based medical prevention fusion system, which executes informatization comprehensive treatment on clinical patients or objects monitored by the medical prevention fusion system by combining medical confidence results of a family doctor module and clinical monitoring results of a clinical monitoring module. Meanwhile, the invention dynamically eliminates the health medical objects after prevention or medical treatment through the system, reduces the medical resource expenditure, provides higher security guarantee for the medical treatment of the system through the secondary negotiation between the medical decision module and the family doctor module before the medical treatment is executed, and provides scientific basis for the informatization treatment of the system.
Disclosure of Invention
The invention aims to provide an informatization-based medical prevention fusion system which is superior to the prior art.
In order to achieve the purpose, the technical scheme of the invention is as follows:
an informatization-based medical prevention fusion system, the system comprising:
a preventive medical object which is a subject of preventive and/or medical treatment by the informatization-based medical preventive fusion system;
the preventive medical object also stores preventive medical object information which is mapped with the preventive medical object one by one, wherein the preventive medical object information at least comprises clinical examination data, patient IDs (identity) stored in a patient data table of a medical prevention fusion system and patient basic information;
the clinical examination data characterizes various data indexes of the patient in routine clinical examination;
the patient ID represents identification information of a preventive medical subject;
the patient basic information represents identity information and biological identification characteristic information of the patient;
the family doctor module acquires preventive medical object information of each preventive medical object and outputs a first preventive medical treatment confidence coefficient ref1 to the preventive medical object and the informationized comprehensive treatment module on the basis of the preventive medical object information;
a clinical monitoring module that extracts a first preventive medical treatment confidence coefficient ref1, and performs clinical monitoring on a preventive medical subject periodically according to a second period, and:
updating clinical examination data contained in the preventive medical object information; while not updating the patient ID and the patient basic information;
the clinical monitoring module comprises a healthy patient removal module, the healthy patient removal module is further used for sending a healthy patient removal sample fed back by an administrator to the information-based comprehensive treatment module;
the healthy patient removal sample is used for characterizing the healthy patient manually rejected by an administrator without participation in preventive treatment or medical treatment, and the healthy patient removal sample at least comprises a patient ID and patient basic information;
the system comprises an informatization comprehensive treatment module, a medical prevention fusion system administrator, a family doctor module, a clinical monitoring module and a prevention decision module, wherein the informatization comprehensive treatment module is operated by the medical prevention fusion system administrator, and outputs prevention medical decision base parameters and inputs the parameters into the prevention decision module after executing informatization comprehensive treatment based on a first prevention medical treatment confidence coefficient ref1 output by the family doctor module and healthy patient removal samples output by the clinical monitoring module;
a preventive decision module which sends all medical decision base parameters to a preventive treatment module, and the preventive treatment module executes disease preventive treatment; the preventive decision module is further used for sending a preventive medical decision base parameter of which the first preventive medical treatment confidence coefficient ref1 is larger than a second threshold value to the medical decision module;
a preventive treatment module for performing a preventive treatment for a disease;
the medical decision-making module feeds back preventive medical decision-making base parameter information of which the first preventive medical treatment confidence coefficient ref1 is larger than a second threshold value to the family doctor module, and after successful negotiation with the family doctor module, the determined preventive medical decision-making base parameter information is sent to the medical treatment module as a preventive medical decision complex parameter;
a medical treatment module to perform a medical treatment of a preventive medical subject corresponding to the preventive medical decision complex parameter.
Preferably, the preventive medical object is a patient object registered in the patient data table of the medical preventive fusion system.
Preferably, the patient data table of the medical prevention fusion system stores patient IDs and patient basic information of each patient, and the patient basic information further includes medical or prevention history records.
Preferably, the patient ID and the patient basic information included in the preventive medical treatment object information are updated in the system based on a specific preset preventive medical treatment object information update cycle.
Preferably, the first preventive medical treatment confidence coefficient ref1 takes a value between [0,1 ].
Preferably, the preset preventive medical treatment object information updating cycle is 180 days.
Preferably, the second period is 30 days.
Preferably, the healthy patient who does not need to participate in the preventive treatment or the medical treatment comes from the preventive medical object with the first preventive medical treatment confidence coefficient ref1 set to 0 corresponding to the preventive medical object information after the previous cycle of the medical treatment or the preventive treatment;
or the like, or, alternatively,
the healthy patient who does not need to participate in the preventive or medical treatment is from a preventive medical subject manually added by an administrator.
Preferably, the disease prevention treatment comprises at least:
prophylactic information is conveyed to a prophylactic medical subject.
Preferably, the preventive medical decision complex parameter is a preventive medical decision base parameter of which the first preventive medical treatment confidence coefficient ref1 is greater than the second threshold value and which is successfully negotiated with the family doctor module through the medical decision module.
The invention provides an informationized medical prevention fusion system, which executes informationized comprehensive treatment on clinical patients or objects monitored by the medical prevention fusion system by combining medical confidence results of a family doctor module and clinical monitoring results of a clinical monitoring module. Meanwhile, the invention dynamically eliminates the health medical objects after prevention or medical treatment through the system, reduces the medical resource expenditure, provides higher security guarantee for the medical treatment of the system through the secondary negotiation between the medical decision module and the family doctor module before the medical treatment is executed, and provides scientific basis for the informatization treatment of the system.
Drawings
FIG. 1 is a diagram of a basic system architecture of an information-based medical prophylactic fusion system of the present invention;
FIG. 2 is a schematic diagram of a system architecture for preventing a medical subject from being interconnected with other modules in an information-based medical prevention fusion system according to a preferred embodiment of the present invention;
FIG. 3 is a schematic diagram of a preferred embodiment of a system architecture for interconnecting an information-based integrated treatment module and a prevention decision module of the informatization-based medical prevention fusion system according to the invention;
FIG. 4 is a diagram illustrating a preferred embodiment of the interconnection of the preventive decision module and the preventive treatment module of the informatization-based medical prevention fusion system according to the present invention;
fig. 5 is a schematic diagram of a preferred embodiment of the interconnection between a medical decision module and a medical treatment module in the information-based medical prevention fusion system.
Detailed Description
Several embodiments and benefits of the information-based medical prophylactic fusion system and method as claimed herein are described in detail below to facilitate a more thorough review and decomposition of the present invention.
For better understanding of the technical solutions of the present invention, the following detailed descriptions of the embodiments of the present invention are provided with reference to the accompanying drawings.
It should be understood that the described embodiments are only some embodiments of the invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the description of the invention and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be understood that the term "and/or" as used herein is merely a relationship that describes an associated object, meaning that three relationships may exist, e.g., a and/or B, may represent: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
It should be understood that although the terms first, second, etc. may be used in embodiments of the invention to describe methods and corresponding apparatus, these keywords should not be limited to these terms. These terms are only used to distinguish keywords from each other. For example, the first threshold value, the first preventive medical treatment confidence coefficient, and the like may also be referred to as a second threshold value, a second preventive medical treatment confidence coefficient, and similarly, the second threshold value, the second preventive medical treatment confidence coefficient, and the like may also be referred to as a first threshold value, a first preventive medical treatment confidence coefficient, without departing from the scope of the embodiments of the present invention.
The word "if" as used herein may be interpreted as "at 8230; \8230;" or "when 8230; \8230;" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrases "if determined" or "if detected (a stated condition or event)" may be interpreted as "when determined" or "in response to a determination" or "when detected (a stated condition or event)" or "in response to a detection (a stated condition or event)", depending on the context.
As shown in fig. 1-5 of the specification, the system for the informatization-based medical prevention fusion system claimed by the invention and one of the specific embedded module embodiments thereof comprises:
a preventive medical object which is a treatment object for preventive and/or medical treatment of the information-based medical preventive fusion system;
the preventive medical object also stores preventive medical object information which is mapped with the preventive medical object one by one, wherein the preventive medical object information at least comprises clinical examination data, patient IDs (identity) stored in a patient data table of a medical prevention fusion system and patient basic information;
the clinical examination data characterizes various data indexes of the patient in routine clinical examination;
the patient ID characterizes identification information of a preventive medical subject;
the patient basic information represents identity information and biological identification characteristic information of the patient;
the family doctor module acquires preventive medical object information of each preventive medical object and outputs a first preventive medical treatment confidence coefficient ref1 to the preventive medical object and the informationized comprehensive treatment module on the basis of the preventive medical object information;
as a superimposable preferred embodiment, the family doctor module acquires preventive medical object information of each preventive medical object, and outputs a first preventive medical treatment confidence coefficient ref1 based on the preventive medical object information, specifically: as another stackable preferred embodiment, the family doctor module sends the family doctor visit request to the affiliated preventive medical subject, and the family doctor module sends the family doctor visit request to the affiliated preventive medical subject according to the frequency of the family doctor visit request executed once per a first period, wherein the first period may be 30 days. And after receiving the positive feedback, acquiring preventive medical object information of a preventive medical object, performing family doctor data analysis based on the preventive medical object information of the preventive medical object, and outputting a first preventive medical treatment confidence coefficient ref1 based on the data analysis result, wherein the first preventive medical treatment confidence coefficient ref1 is obtained based on the preventive medical object information of the preventive medical object and is positively correlated with clinical physical examination data in the preventive medical object information. As another superimposable preferred embodiment, the first preventive medical treatment confidence coefficient ref1 may be derived using the following algorithm: the clinical examination data in the preventive medical subject information is a data set with preset data types, and as another superimposable preferred embodiment, for example, when the informatization-based medical prevention fusion system of the invention is applied to cardiovascular health prevention, the data set with the preset data types comprises the following data items: { the ratio of the ecg curve data per time period + the time at which the ecg curve data exceeds the normal ecg data threshold K1 per time period, the blood pressure curve data per time period + the time at which the blood pressure curve data exceeds the normal blood pressure data threshold K2 per time period, and the blood oxygen curve data per time period + the time at which the blood oxygen curve data exceeds the normal blood oxygen data threshold K3 per time period }, it is obvious that the data items included in the data set of the predetermined included data type may be expanded on the basis of the above embodiment, which is merely demonstrated for the purpose of explaining the technical solution of the present invention. As another preferred embodiment that can be superimposed, the normal electrocardiogram data threshold, the normal blood pressure data threshold and the normal blood oxygen data threshold can be derived from the diagnostic criteria existing in the art or dynamically set or adjusted by the system based on the historical preventive medical record of the preventive medical subject. The first preventive medical treatment confidence coefficient ref1= (MK 1+ NK2+ PK 3)/3 × 100%. M, N, P are default weighting parameters for data set data items K1, K2, K3 of the preset included data types, respectively. Therefore, the first preventive medical treatment confidence coefficient ref1 can cooperatively represent the preventive medical treatment confidence expressed by different types of data items in a data set containing data types, and in this embodiment, K1, K2, and K3 are preset at the same weight level, so the default weight parameters M, N, and P are all 1, and thus, the first preventive medical treatment confidence coefficient ref1 always takes on values between [0,1 ]. Of course, as another preferred embodiment that can be superimposed, the weight levels or weight parameters of the data items of the data set containing the preset data types can be adjusted according to the different emphasis levels of the data items in the preventive care system, that is, the default weight parameters M, N, P, etc. are set to different parameter values by presetting K1, K2, K3.
A clinical monitoring module that extracts a first preventive medical treatment confidence coefficient ref1, and performs clinical monitoring on a preventive medical subject periodically according to a second period, and:
updating clinical examination data contained in the preventive medical treatment object information; while not updating the patient ID and the patient basis information;
the clinical monitoring module comprises a healthy patient removal module, the healthy patient removal module is further used for sending a healthy patient removal sample fed back by an administrator to the information-based comprehensive treatment module;
the healthy patient removal sample is used for representing a healthy patient manually rejected by an administrator without participation in preventive treatment or medical treatment, and the healthy patient removal sample at least comprises a patient ID and patient basic information;
the system comprises an informatization comprehensive treatment module, a medical prevention fusion system administrator, a family doctor module, a clinical monitoring module and a prevention decision module, wherein the informatization comprehensive treatment module is operated by the medical prevention fusion system administrator, and outputs prevention medical decision base parameters and inputs the parameters into the prevention decision module after executing informatization comprehensive treatment based on a first prevention medical treatment confidence coefficient ref1 output by the family doctor module and healthy patient removal samples output by the clinical monitoring module;
as another stackable preferred embodiment, the informatization comprehensive treatment module is operated by a medical prevention fusion system administrator, and based on the first preventive medical treatment confidence coefficient ref1 output by the family doctor module and the healthy patient removal samples output by the clinical monitoring module, after the informatization comprehensive treatment is executed, the informatization comprehensive treatment module outputs preventive medical decision-making base parameters and inputs the preventive decision-making base parameters into the preventive decision-making module, specifically: the information comprehensive treatment module acquires preventive medical object information from a preventive medical object, outputs and acquires a first preventive medical treatment confidence coefficient ref1 from a family doctor module, and simultaneously records the mapping relation between the first preventive medical treatment confidence coefficient ref1 and the corresponding preventive medical object information. The informatization integrated treatment module obtains a healthy patient removal sample from the output of the clinical monitoring module, then the informatization integrated treatment module rejects the healthy patient removal sample from preventive medical object information, correspondingly binds a first preventive medical treatment confidence coefficient ref1 obtained from the output of the family doctor module and the preventive medical object information from which the healthy patient removal sample is rejected, generates a preventive medical decision base parameter, and sends the preventive medical decision base parameter to the preventive decision module, wherein the preventive medical decision base parameter comprises the bound first preventive medical treatment confidence coefficient ref1 and the preventive medical object information from which the healthy patient removal sample is rejected.
A preventive decision module which sends all medical decision base parameters to a preventive treatment module, and the preventive treatment module executes disease preventive treatment; the preventive decision module is further used for sending a preventive medical decision base parameter of which the first preventive medical treatment confidence coefficient ref1 is larger than a second threshold value to the medical decision module;
a preventive treatment module for performing a preventive treatment for a disease;
the medical decision module feeds back preventive medical decision-making base parameter information of which the first preventive medical treatment confidence coefficient ref1 is greater than the second threshold value to the family doctor module, and after the consultation with the family doctor module is successful, the determined preventive medical decision-making base parameter information is used as a preventive medical decision-making complex parameter and is sent to the medical treatment module;
as another stackable preferred embodiment, the medical decision module feeds back, to the family doctor module, preventive medical decision-making base parameter information for which the first preventive medical treatment confidence coefficient ref1 is greater than the second threshold, and after successfully negotiating with the family doctor module, sends the determined preventive medical decision-making base parameter information as a preventive medical decision-making complex parameter to the medical treatment module, specifically: when a medical decision module receives preventive medical decision base parameter information of which a first preventive medical treatment confidence coefficient ref1 is greater than a second threshold value, sending the preventive medical decision base parameter information of which the first preventive medical treatment confidence coefficient ref1 is greater than the second threshold value to a family doctor module, and acquiring an artificial diagnosis result of the family doctor module on the preventive medical decision base parameter information of which the first preventive medical treatment confidence coefficient ref1 is greater than the second threshold value, wherein the artificial diagnosis result is a Boolean value, and TRUE represents medical treatment or FALSE represents non-medical treatment. And the medical decision module takes the preventive medical decision base parameter information with the corresponding Boolean value being TRUE as a preventive medical decision complex parameter to send to the medical treatment module based on the Boolean value of the manual diagnosis result.
A medical treatment module to perform a medical treatment of a preventive medical subject corresponding to the preventive medical decision complex parameter.
As another superimposable preferred embodiment, said preventive medical object is a patient object registered in a patient data sheet of said medical preventive fusion system.
As another superimposable preferred embodiment, the patient data table of the medical prevention fusion system stores patient IDs of respective patients and patient basic information, and the patient basic information further includes medical or prevention history records.
As another superimposable preferred embodiment, the patient ID and the patient basic information included in the preventive medical treatment object information are updated in the system based on a specific preset preventive medical treatment object information update cycle.
As another stackable preferred embodiment, the first preventive medical treatment confidence coefficient ref1 takes a value between [0,1 ].
As another superimposable preferred embodiment, the preset preventive medical treatment subject information update cycle is 180 days.
As another preferred embodiment that can be superimposed, the second period is 30 days.
As another superimposable preferred embodiment, the healthy patient who does not need to participate in the preventive treatment or the medical treatment comes from the preventive medical object with the first preventive medical treatment confidence coefficient ref1 set to 0 corresponding to the preventive medical object information after the previous cycle of the medical treatment or the preventive treatment; alternatively, the healthy patient who does not need to participate in the preventive or medical treatment is from a preventive medical subject manually added by an administrator.
As another superimposable preferred embodiment, said disease prevention treatment comprises at least the communication of preventive information to a preventive medical subject.
As another superimposable preferred embodiment, the preventive medical decision complex parameter is a preventive medical decision base parameter that the first preventive medical treatment confidence coefficient ref1 is greater than the second threshold and that is successfully negotiated with the family doctor module via the medical decision module.
The invention provides an informationized medical prevention fusion system, which executes informationized comprehensive treatment on clinical patients or objects monitored by the medical prevention fusion system by combining medical confidence results of a family doctor module and clinical monitoring results of a clinical monitoring module. Meanwhile, the invention dynamically eliminates the health medical objects after prevention or medical treatment through the system, reduces the medical resource expenditure, provides higher security guarantee for the medical treatment of the system through the secondary negotiation between the medical decision module and the family doctor module before the medical treatment is executed, and provides scientific basis for the informatization treatment of the system.
In all the above embodiments, in order to meet the requirements of some special data transmission and read/write functions, the above method and its corresponding device may add devices, modules, devices, hardware, pin connections or memory, processor differences to expand the functions during the operation process.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described method, apparatus and unit may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the method steps into only one type of logical or functional division may be implemented in practice in another type of division, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as individual steps of the method, apparatus separation parts may or may not be logically or physically separate, or may not be physical units, and may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, the method steps, the implementation thereof, and the functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or in the form of hardware plus a software functional unit.
The above-described method and apparatus may be implemented as an integrated unit in the form of a software functional unit, which may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) or a Processor (Processor) to execute some steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: a U disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), an NVRAM, a magnetic disk, or an optical disk, and other various media capable of storing program codes.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and should not be taken as limiting the scope of the present invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
It should be noted that: the above examples are only for clearly explaining and illustrating the technical solution of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (8)
1. An informatization-based medical preventative fusion system, the system comprising:
a preventive medical object which is a subject of preventive and/or medical treatment by the informatization-based medical preventive fusion system;
the preventive medical object also stores preventive medical object information which is mapped with the preventive medical object one by one, and the preventive medical object information at least comprises clinical physical examination data, patient IDs (identity) stored in a patient data table of a medical prevention fusion system and patient basic information;
the clinical examination data characterizes various data indexes of the patient in routine clinical examination;
the patient ID characterizes identification information of a preventive medical subject;
the patient basic information represents identity information and biological identification characteristic information of the patient;
the family doctor module acquires preventive medical object information of each preventive medical object and outputs a first preventive medical treatment confidence coefficient ref1 to the preventive medical object and the informationized comprehensive treatment module on the basis of the preventive medical object information, wherein the first preventive medical treatment confidence coefficient ref1= (MK 1+ NK2+ PK 3)/3 × 100%, and M, N and P are default weight parameters of data set data items K1, K2 and K3 with preset data types;
a clinical monitoring module that extracts a first preventive medical treatment confidence coefficient ref1, and performs clinical monitoring on a preventive medical subject periodically according to a second period, and:
updating clinical examination data contained in the preventive medical object information; while not updating the patient ID and the patient basic information;
the clinical monitoring module comprises a healthy patient removal module, the healthy patient removal module is further used for sending a healthy patient removal sample fed back by an administrator to the information-based comprehensive treatment module;
the healthy patient removal sample is used for representing a healthy patient manually rejected by an administrator without participation in preventive treatment or medical treatment, and the healthy patient removal sample at least comprises a patient ID and patient basic information;
the healthy patient who does not need to participate in the preventive treatment or the medical treatment is from a preventive medical object of which the first preventive medical treatment confidence coefficient ref1 corresponding to the preventive medical object information is set to 0 after the previous cycle of medical treatment or the preventive treatment; or the healthy patient who does not need to participate in the preventive or medical treatment is from a preventive medical subject manually added by an administrator;
the system comprises an informatization comprehensive treatment module, a medical prevention fusion system administrator and a medical prevention fusion system management module, wherein the informatization comprehensive treatment module is operated by the medical prevention fusion system administrator, outputs preventive medical decision-making base parameters after executing informatization comprehensive treatment based on a first preventive medical treatment confidence coefficient ref1 output by a family doctor module and healthy patient removal samples output by a clinical monitoring module, and inputs the preventive medical decision-making base parameters into a preventive decision-making module;
a preventive decision module which sends all medical decision base parameters to a preventive treatment module, and the preventive treatment module executes disease preventive treatment; the preventive decision module is also used for sending the preventive medical decision base parameters of which the first preventive medical treatment confidence coefficient ref1 is larger than a second threshold value to the medical decision module;
the informatization integrated treatment module is operated by a medical prevention fusion system administrator, and based on a first preventive medical treatment confidence coefficient ref1 output by a family doctor module and a healthy patient removal sample output by a clinical monitoring module, after the informatization integrated treatment is executed, preventive medical decision base parameters are output and input into a preventive decision module, and the informatization integrated treatment module specifically comprises the following steps:
the information comprehensive treatment module acquires preventive medical object information from a preventive medical object, outputs and acquires a first preventive medical treatment confidence coefficient ref1 from a family doctor module, and simultaneously records the mapping relation between the first preventive medical treatment confidence coefficient ref1 and the corresponding preventive medical object information; the informatization comprehensive treatment module is used for acquiring a healthy patient removal sample from the output of a clinical monitoring module, then the informatization comprehensive treatment module rejects the healthy patient removal sample from preventive medical object information, correspondingly binds a first preventive medical treatment confidence coefficient ref1 acquired from the output of a family doctor module with the preventive medical object information after the healthy patient removal sample is rejected, generates a preventive medical decision base parameter, and sends the preventive medical decision base parameter to the preventive decision module, wherein the preventive medical decision base parameter comprises the bound first preventive medical treatment confidence coefficient ref1 and the preventive medical object information after the healthy patient removal sample is rejected;
a preventive treatment module for performing a preventive treatment for a disease;
the medical decision module feeds back preventive medical decision-making base parameter information of which the first preventive medical treatment confidence coefficient ref1 is greater than the second threshold value to the family doctor module, and after the consultation with the family doctor module is successful, the determined preventive medical decision-making base parameter information is used as a preventive medical decision-making complex parameter and is sent to the medical treatment module;
the preventive medical decision complex parameter is a preventive medical decision base parameter of which the first preventive medical treatment confidence coefficient ref1 is greater than a second threshold value and is successfully negotiated with the family doctor module through the medical decision module;
the medical decision-making module feeds back preventive medical decision-making base parameter information of which the first preventive medical treatment confidence coefficient ref1 is greater than the second threshold value to the family doctor module, and after the consultation with the family doctor module is successful, sends the determined preventive medical decision-making base parameter information serving as a preventive medical decision-making complex parameter to the medical treatment module, and specifically comprises the following steps:
when a medical decision module receives preventive medical decision base parameter information of which a first preventive medical treatment confidence coefficient ref1 is greater than a second threshold value, sending the preventive medical decision base parameter information of which the first preventive medical treatment confidence coefficient ref1 is greater than the second threshold value to a family doctor module, and acquiring an artificial diagnosis result of the family doctor module on the preventive medical decision base parameter information of which the first preventive medical treatment confidence coefficient ref1 is greater than the second threshold value, wherein the artificial diagnosis result is a Boolean value, and TRUE represents medical treatment or FALSE represents non-medical treatment; the medical decision module takes preventive medical decision base parameter information with a corresponding Boolean value being TRUE as a preventive medical decision complex parameter to be sent to the medical treatment module based on the Boolean value of the manual diagnosis result;
a medical treatment module to perform a medical treatment of a preventive medical subject corresponding to the preventive medical decision complex parameter.
2. The informatization-based medical preventative fusion system of claim 1, wherein the preventative medical objects are patient objects registered in a patient data sheet of the medical preventative fusion system.
3. The information-based medical prevention fusion system of claim 2, wherein the patient data table of the medical prevention fusion system stores patient IDs of respective patients and patient basic information, and the patient basic information further includes medical or prevention history.
4. The informatization-based medical preventative fusion system of claim 3, wherein:
the patient ID and the patient basic information included in the preventive medical treatment object information are updated in the system based on a specific preset preventive medical treatment object information update cycle.
5. The informatization-based medical preventative fusion system of claim 1, wherein:
the first preventive medical treatment confidence coefficient ref1 takes a value between [0,1 ].
6. The informatization-based medical preventative fusion system of claim 4, wherein: the preset preventive medical object information updating period is 180 days.
7. The informatization-based medical preventative fusion system of claim 1, wherein: the second period was 30 days.
8. The informatization-based medical preventative fusion system of claim 7, wherein: the prophylactic treatment of a disease comprises at least:
prophylactic information is communicated to a prophylactic medical subject.
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