CN111681725A - Chronic obstructive pulmonary disease prevention and treatment management method and system - Google Patents

Chronic obstructive pulmonary disease prevention and treatment management method and system Download PDF

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Publication number
CN111681725A
CN111681725A CN202010386591.6A CN202010386591A CN111681725A CN 111681725 A CN111681725 A CN 111681725A CN 202010386591 A CN202010386591 A CN 202010386591A CN 111681725 A CN111681725 A CN 111681725A
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Prior art keywords
obstructive pulmonary
pulmonary disease
chronic obstructive
patient
treatment
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陈平
曾玉琴
蔡珊
陈燕
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Second Xiangya Hospital of Central South University
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Second Xiangya Hospital of Central South University
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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
    • A61B5/091—Measuring volume of inspired or expired gases, e.g. to determine lung capacity
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/30—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • 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
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • 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
    • G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients

Abstract

The invention discloses a method and a system for preventing and managing chronic obstructive pulmonary disease, which realize individualized management of chronic obstructive pulmonary disease by monitoring physical sign information of patients with chronic obstructive pulmonary disease, judging the health state of the patients with chronic obstructive pulmonary disease according to personal files, treatment information and the physical sign information, and formulating a prevention strategy according to the health state. Chronic obstructive pulmonary disease prevention and treatment management system, comprising: the chronic obstructive pulmonary disease prevention and treatment management platform is used for establishing a personal file of a patient suffering from chronic obstructive pulmonary disease; the lung monitoring and rehabilitation management device is used for monitoring the physical sign information of the chronic obstructive pulmonary disease patient and sending the physical sign information to the chronic obstructive pulmonary disease prevention and treatment management platform; each level of medical institution management platform is used for sending treatment information to the chronic obstructive pulmonary disease prevention and treatment management platform if the patient with chronic obstructive pulmonary disease has undergone diagnosis and treatment, so that information sharing of each level of hospitals is realized; the chronic obstructive pulmonary disease prevention and treatment management platform is also used for diagnosing the health state of a patient suffering from chronic obstructive pulmonary disease according to personal files, treatment information and sign information and formulating prevention and treatment strategies according to the health state.

Description

Chronic obstructive pulmonary disease prevention and treatment management method and system
Technical Field
The invention relates to the field of medical treatment, in particular to a chronic obstructive pulmonary disease prevention and treatment management method and system.
Background
Chronic obstructive pulmonary disease (chronic obstructive pulmonary disease) is an important chronic respiratory disease seriously threatening human life and health, and has international consensus on high morbidity, high disability rate, high fatality rate and high economic burden. Recent survey shows that more than 1 hundred million patients with chronic obstructive pulmonary disease become serious chronic diseases in the same amount as hypertension, diabetes and the like in China. The prevalence rate of chronic obstructive pulmonary disease of 20-year-old and over-age adults in China is 8.6%, the prevalence rate of chronic obstructive pulmonary disease of over 40 years is 13.7%, the prevalence rate of people over 60 years is over 40%, and the total disease rate rises by 67% before 10 years. Only 9.7% of all patients with chronic obstructive pulmonary disease have previously been examined for lung function, and about 60% of patients have no overt symptoms. Therefore, it is important to use modern internet of things technology for chronic obstructive pulmonary identification, early intervention, follow-up management and rehabilitation.
The early screening rate of the patients with chronic obstructive pulmonary disease is low, a convenient and unified early screening technology is not available at home at present, the portable wireless pulmonary function instrument can be developed in hospitals above county and city levels, and the early screening of the chronic obstructive pulmonary disease is realized by means of intelligent technologies such as radio frequency identification, sensor networks, wireless data communication and the like. The modern health informatization construction and development are rapid, and especially the arrival of the medical big data era provides an important means for the prevention and control of chronic obstructive pulmonary disease. The Internet of things medicine has three basic processes of comprehensive perception, reliable conduction and intelligent processing, and can be used for full-time-space prevention, health care, diagnosis and rehabilitation.
At present, network management systems of the chronic obstructive pulmonary disease in various regions are different and lack of unified standards, and a unified scientific and normative slow obstructive pulmonary disease multi-center network management platform does not exist, so that an individualized whole-course management model of the chronic obstructive pulmonary disease cannot be established.
Disclosure of Invention
The invention aims to provide a chronic obstructive pulmonary disease prevention and treatment management method and system, which can be used for monitoring physical sign information of a patient suffering from chronic obstructive pulmonary disease, judging the health state of the patient suffering from chronic obstructive pulmonary disease according to personal files and the physical sign information, and formulating a prevention and treatment strategy according to the health state, thereby realizing the individual management of the chronic obstructive pulmonary disease.
The invention provides a chronic obstructive pulmonary disease prevention and treatment management system in a first aspect, which comprises:
the system comprises lung monitoring and rehabilitation management equipment, medical institution management platforms at all levels, an information sharing interconnection platform and a slow lung obstruction prevention and treatment management platform;
the lung monitoring and rehabilitation management equipment is connected with the chronic obstructive pulmonary disease prevention and treatment management platform, and the management platforms of all levels of medical institutions are connected with the chronic obstructive pulmonary disease prevention and treatment management platform through an information sharing interconnection platform;
the chronic obstructive pulmonary disease prevention and treatment management platform is used for establishing a personal file of a patient suffering from chronic obstructive pulmonary disease;
the lung monitoring and rehabilitation management device is used for monitoring the physical sign information of the chronic obstructive pulmonary disease patient and sending the physical sign information to the chronic obstructive pulmonary disease prevention and treatment management platform;
each level of medical institution management platform is used for sending treatment information to the chronic obstructive pulmonary disease prevention and treatment management platform if the patient with chronic obstructive pulmonary disease has undergone diagnosis and treatment;
the chronic obstructive pulmonary disease prevention and treatment management platform is also used for diagnosing the health state of a patient with chronic obstructive pulmonary disease according to personal files, treatment information and sign information and formulating prevention and treatment strategies according to the health state.
Further, the chronic obstructive pulmonary disease prevention and treatment management platform comprises:
the system comprises an equipment interface module, an information sharing interconnection interface module, a file module, a health diagnosis module and a prevention and control strategy making module;
the equipment interface module is connected with the lung monitoring and rehabilitation management equipment, and the information sharing interconnection interface module is connected with the information sharing interconnection platform;
the file module is used for establishing a personal file of the patient suffering from chronic obstructive pulmonary disease;
the equipment interface module is used for receiving the physical sign information of the chronic obstructive pulmonary disease patient sent by the pulmonary monitoring and rehabilitation management equipment;
the information sharing interconnection interface module is used for receiving treatment information of the chronic obstructive pulmonary disease patients sent by the management platforms of all levels of medical institutions;
the health diagnosis module is used for diagnosing the health state of the patient suffering from the chronic obstructive pulmonary disease according to the personal file, the treatment information and the physical sign information, wherein the health state comprises high risk groups suffering from the chronic obstructive pulmonary disease and high risk groups not suffering from the chronic obstructive pulmonary disease and safe groups not suffering from the chronic obstructive pulmonary disease;
and the prevention strategy making module is used for making prevention strategies according to the health state.
Further, the health diagnosis module comprises:
a first health diagnosis unit;
the first health diagnosis unit is used for acquiring a lung function detection FEV1/FVC value in the sign information, FEV1 represents a first second forced expiratory volume, and FVC represents forced vital capacity;
the first health diagnosis unit is also used for judging whether the lung function detection FEV1/FVC value exceeds a threshold value;
a first health diagnosis unit, which is also used for determining that the patient with chronic obstructive pulmonary disease has suffered from the chronic obstructive pulmonary disease when the lung function detection FEV1/FVC value does not exceed the threshold value;
and the first health diagnosis unit is also used for diagnosing the health state of the patient with chronic obstructive pulmonary disease according to the personal file, the treatment information and the sign information when the lung function detection FEV1/FVC value exceeds the threshold value.
Further, the health diagnosis module further comprises:
a priority judging unit and a second health diagnosis unit;
the priority judging unit is used for judging the priority levels of the personal file, the treatment information and the physical sign information according to a preset priority rule when the health state of the patient suffering from chronic obstructive pulmonary disease is that the patient suffers from chronic obstructive pulmonary disease;
the second health diagnosis unit is also used for diagnosing according to the priority levels of the personal files, the treatment information and the physical sign information and according to the priority levels to determine whether the health state of the patient suffering from chronic obstructive pulmonary disease is the state of suffering from chronic obstructive pulmonary disease;
the second health diagnosis unit is also used for outputting the health state of the patient suffering from the chronic obstructive pulmonary disease as the patient suffering from the chronic obstructive pulmonary disease if the health state is positive;
and the second health diagnosis unit is also used for outputting the health state of the patient with the chronic obstructive pulmonary disease if the patient does not suffer from the chronic obstructive pulmonary disease.
Further, in the above-mentioned case,
the priority judging unit is specifically used for performing element analysis on the personal file, the treatment information and the physical sign information to acquire at least one priority element in the personal file, the treatment information and the physical sign information;
the priority judging unit is also used for judging the priority levels of the personal file, the treatment information and the body information according to the priority elements, and the priority levels are at least two levels;
the health diagnosis unit is specifically used for diagnosing according to the priority levels of the personal files, the treatment information and the physical sign information and the principle that the priority levels are from high to low, and determining whether the health state of the patient suffering from the chronic obstructive pulmonary disease is that the patient suffers from the chronic obstructive pulmonary disease;
or the like, or, alternatively,
and the health diagnosis unit is specifically used for selecting the highest priority level for diagnosis according to the priority levels of the personal files, the treatment information and the physical sign information, and determining whether the health state of the patient suffering from chronic obstructive pulmonary disease is the state of suffering from chronic obstructive pulmonary disease.
Further, the health diagnosis module comprises:
a weight assignment unit and a third health diagnosis unit;
the weight calculation unit is used for carrying out element analysis on the personal file, the treatment information and the physical sign information when the health state of the patient suffering from the chronic obstructive pulmonary disease is that the patient suffers from the chronic obstructive pulmonary disease, and obtaining at least one weight element in the personal file, the treatment information and the physical sign information;
the weight assignment unit is also used for carrying out weight assignment on the weight elements according to the weight assignment rule;
the third health diagnosis unit is used for calculating to obtain the total weight values of the personal files, the treatment information and the physical sign information according to the weight assignment of the weight elements, selecting the highest total weight value for diagnosis and determining whether the health state of the patient suffering from chronic obstructive pulmonary disease is the state suffering from chronic obstructive pulmonary disease;
or the like, or, alternatively,
and the third health diagnosis unit is used for selecting the weight elements reaching the weight threshold value from the weight elements as diagnosis elements according to the weight assignment of the weight elements, diagnosing according to the diagnosis elements and determining whether the health state of the patient suffering from chronic obstructive pulmonary disease is the health state of the patient suffering from chronic obstructive pulmonary disease.
The invention provides a chronic obstructive pulmonary disease prevention and treatment management method, which comprises the following steps:
establishing a personal file of a patient with chronic obstructive pulmonary disease;
monitoring physical sign information of a patient suffering from chronic obstructive pulmonary disease;
when the patient with chronic obstructive pulmonary disease is diagnosed, acquiring treatment information of the patient with chronic obstructive pulmonary disease;
diagnosing the health state of the patient with chronic obstructive pulmonary disease according to the personal file, the treatment information and the physical sign information, and making a prevention and treatment strategy according to the health state.
Further, according to personal profile, treatment information and sign information diagnosis chronic obstructive pulmonary disease patient's health state, before formulating prevention and cure strategy according to health state, still include:
acquiring a lung function detection FEV1/FVC value in sign information, wherein FEV1 represents the first-second forced expiratory volume, and FVC represents the forced vital capacity;
judging whether the FEV1/FVC value exceeds a threshold value or not;
when the lung function detection FEV1/FVC value does not exceed the threshold value, determining that the patient with chronic obstructive pulmonary disease has suffered from chronic obstructive pulmonary disease;
when the FEV1/FVC value of lung function detection exceeds the threshold value, the health status of the patient with chronic obstructive pulmonary disease is diagnosed according to the personal file, the treatment information and the sign information.
Further, diagnosing the health status of the patient with chronic obstructive pulmonary disease according to the personal profile, the treatment information and the physical sign information, comprising:
when the health state of the patient suffering from chronic obstructive pulmonary disease is that the patient suffers from chronic obstructive pulmonary disease, judging the priority levels of the personal file, the treatment information and the physical sign information according to a preset priority rule;
according to the priority levels of the personal files, the treatment information and the physical sign information, diagnosis is carried out according to the priority levels, and whether the health state of the patient suffering from chronic obstructive pulmonary disease is determined;
if yes, outputting the health state of the patient suffering from the chronic obstructive pulmonary disease as the patient suffering from the chronic obstructive pulmonary disease;
if not, outputting the health state of the patient with the chronic obstructive pulmonary disease not to be suffered from the chronic obstructive pulmonary disease.
Further, diagnosing the health status of the patient with chronic obstructive pulmonary disease according to the personal profile, the treatment information and the physical sign information, comprising:
when the health state of the patient suffering from chronic obstructive pulmonary disease is that the patient suffers from chronic obstructive pulmonary disease, performing element analysis on the personal file, the treatment information and the physical sign information to obtain at least one weight element in the personal file, the treatment information and the physical sign information;
carrying out weight assignment on the weight elements according to a weight assignment rule;
calculating to obtain the total weight values of the personal files, the treatment information and the physical sign information according to the weight assignment of the weight elements, selecting the highest total weight value for diagnosis, and determining whether the health state of the patient suffering from chronic obstructive pulmonary disease is the state suffering from chronic obstructive pulmonary disease;
or the like, or, alternatively,
and according to the weight assignment of the weight elements, selecting the weight elements reaching the weight threshold value from the weight elements as diagnosis elements, and diagnosing according to the diagnosis elements to determine whether the health state of the patient suffering from the chronic obstructive pulmonary disease is the patient suffering from the chronic obstructive pulmonary disease.
It can be seen from the above that, hinder lung prevention and cure management system's slowly, hinder lung prevention and cure management platform establish the personal archives of hindering the lung patient slowly, lung monitoring and rehabilitation management equipment monitoring hinders the sign information of lung patient slowly, send sign information to hinder lung prevention and cure management platform slowly, medical institution management platform at each level is if hinder the lung patient slowly and treat when having a diagnosis, with treatment information transmission to hinder lung prevention and cure management platform slowly, hinder lung prevention and cure management platform slowly according to personal archives, treatment information and sign information diagnosis hinder the health condition of lung patient slowly, according to the prevention and cure strategy of health condition formulation. The physical sign information of the patient suffering from chronic obstructive pulmonary disease is monitored, the health state of the patient suffering from chronic obstructive pulmonary disease is judged according to the personal file, the treatment information and the physical sign information, and then a prevention and treatment strategy is formulated according to the health state, so that individualized management of the chronic obstructive pulmonary disease is realized.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the prior art and the embodiments are briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a schematic structural diagram of an embodiment of a Chronic Obstructive Pulmonary Disease (COPD) prevention and treatment management system provided by the present invention;
FIG. 2 is a schematic structural diagram of another embodiment of a Chronic Obstructive Pulmonary Disease (COPD) prevention and treatment management system provided by the present invention;
FIG. 3 is a schematic structural diagram of another embodiment of a Chronic Obstructive Pulmonary Disease (COPD) prevention and treatment management system provided by the present invention;
FIG. 4 is a schematic structural diagram of a Chronic Obstructive Pulmonary Disease (COPD) prevention and treatment management system according to yet another embodiment of the present invention;
FIG. 5 is a schematic structural diagram of another embodiment of a Chronic Obstructive Pulmonary Disease (COPD) prevention and treatment management system provided by the present invention;
FIG. 6 is a schematic structural diagram of another embodiment of a Chronic Obstructive Pulmonary Disease (COPD) prevention and treatment management system provided by the present invention;
FIG. 7 is a schematic flow chart illustrating an embodiment of a management method for chronic obstructive pulmonary disease prevention and treatment provided by the present invention;
FIG. 8 is a schematic flow chart illustrating another embodiment of a management method for chronic obstructive pulmonary disease prevention and treatment provided by the present invention;
FIG. 9 is a schematic flow chart of a method for management of chronic obstructive pulmonary disease prevention and treatment provided by the present invention;
fig. 10 is a schematic flow chart of a chronic obstructive pulmonary disease prevention and treatment management method according to still another embodiment of the present invention.
Detailed Description
The core of the invention is to provide a method and a system for preventing and treating chronic obstructive pulmonary disease, which can realize the individual management of the chronic obstructive pulmonary disease by monitoring the physical sign information of patients suffering from the chronic obstructive pulmonary disease, judging the health status of the patients suffering from the chronic obstructive pulmonary disease according to personal files, treatment information and the physical sign information, and formulating a prevention strategy according to the health status.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
Referring to fig. 1, an embodiment of the present invention provides a chronic obstructive pulmonary disease prevention and management system, including:
the system comprises a lung monitoring and rehabilitation management device 101, medical institution management platforms 102 at all levels, an information sharing interconnection platform 103 and a chronic obstructive pulmonary disease prevention and treatment management platform 104;
the lung monitoring and rehabilitation management device 101 is connected with the chronic obstructive pulmonary disease prevention and treatment management platform 104, and the medical mechanism management platforms 102 at all levels are connected with the chronic obstructive pulmonary disease prevention and treatment management platform 104 through the information sharing interconnection platform 103;
a chronic obstructive pulmonary disease prevention and treatment management platform 104 for establishing a personal profile of a patient with chronic obstructive pulmonary disease;
the lung monitoring and rehabilitation management device 101 is used for monitoring physical sign information of a chronic obstructive pulmonary disease patient and sending the physical sign information to the chronic obstructive pulmonary disease prevention and treatment management platform 104;
each level of medical institution management platform 102 is used for sending treatment information to the chronic obstructive pulmonary disease prevention and treatment management platform 104 if the patient with chronic obstructive pulmonary disease has undergone diagnosis and treatment;
the chronic obstructive pulmonary disease prevention and treatment management platform 104 is further configured to diagnose the health status of the patient with chronic obstructive pulmonary disease according to the personal file, the treatment information and the physical sign information, and make a prevention and treatment strategy according to the health status.
In the embodiment of the present invention, the chronic obstructive pulmonary disease prevention and treatment management platform 104 can obtain information of patients with chronic obstructive pulmonary disease through manual input by a platform administrator, through registration of patients with chronic obstructive pulmonary disease, or through acquisition from the management platforms 102 of all levels of medical institutions, so as to establish a personal file of all patients with chronic obstructive pulmonary disease. The lung monitoring and rehabilitation management device 101 may be a biological information monitor, a portable wireless lung function instrument, a noninvasive ventilator, and other wearable devices, and may be used to sense the physical sign information of the patient with chronic obstructive pulmonary disease, and the physical sign information may be pulse, blood pressure, respiratory frequency, electrocardiogram, lung function change, blood oxygen saturation, and the like. After monitoring the physical sign information of the chronic obstructive pulmonary disease patient, the lung monitoring and recovery management device 101 can send the physical sign information to the chronic obstructive pulmonary disease prevention and treatment management platform 104 in a wired or wireless manner, each stage of the medical institution management platform 102 is connected with the chronic obstructive pulmonary disease prevention and treatment management platform 104 through the information sharing interconnection platform 103, so that information sharing among each stage of the medical institution management platform 102 is realized, and the chronic obstructive pulmonary disease prevention and treatment management platform 104 can track the treatment condition of the chronic obstructive pulmonary disease patient in real time, so as to conveniently and dynamically adjust the prevention and treatment strategy. When the patient with chronic obstructive pulmonary disease is diagnosed, the management platforms 102 of all levels of medical institutions send treatment information to the management platform 104 for chronic obstructive pulmonary disease prevention, the management platform 104 for chronic obstructive pulmonary disease prevention and treatment runs a data mining algorithm to diagnose the health state of the patient with chronic obstructive pulmonary disease according to personal files, treatment information and physical sign information, and then, the corresponding prevention and treatment strategies are customized according to different health states of an expert system. Thereby realizing the individual management of the chronic obstructive pulmonary disease.
It should be noted that the health status may specifically include a high-risk group who has suffered from the chronic obstructive pulmonary disease, a high-risk group who does not suffer from the chronic obstructive pulmonary disease, and a safe group who does not suffer from the chronic obstructive pulmonary disease, and may be divided according to rules of mild, moderate, severe, and the like, so that after the health status of a patient suffering from the chronic obstructive pulmonary disease is diagnosed, the health status may be divided into different groups, and the corresponding control strategies are different for the different groups, for example, if the health status is mild, the control strategies are "enter a short-acting bronchodilator treatment group and rehabilitation treatment, and are followed once in half a year".
Optionally, in combination with the embodiment shown in fig. 1, as shown in fig. 2, in some embodiments of the invention, the chronic obstructive pulmonary disease control management platform 104 includes:
the system comprises an equipment interface module 201, an information sharing interconnection interface module 202, a file module 203, a health diagnosis module 204 and a prevention strategy formulation module 205;
the device interface module 201 is connected with the lung monitoring and rehabilitation management device 101, and the information sharing interconnection interface module 202 is connected with the information sharing interconnection platform 103;
a profile module 203 for establishing a personal profile of a patient with chronic obstructive pulmonary disease;
the device interface module 201 is configured to receive sign information of a chronic obstructive pulmonary patient sent by the pulmonary monitoring and rehabilitation management device 101;
the information sharing interconnection interface module 202 is used for receiving treatment information of the chronic obstructive pulmonary disease patient sent by each stage of medical institution management platform 102;
the health diagnosis module 204 is used for diagnosing the health state of the patient suffering from chronic obstructive pulmonary disease according to the personal file, the treatment information and the physical sign information, wherein the health state comprises high risk groups suffering from and not suffering from chronic obstructive pulmonary disease and safe groups not suffering from chronic obstructive pulmonary disease;
and the prevention strategy making module 205 is used for making prevention strategies according to the health state.
In the embodiment of the present invention, the modules of the management platform 104 for preventing and treating chronic obstructive pulmonary disease are described in detail, the file module 203 establishes a personal file of a patient with chronic obstructive pulmonary disease, the device interface module 201 receives the physical sign information of the patient with chronic obstructive pulmonary disease sent by the lung monitoring and rehabilitation management device 101, and the information sharing interconnection interface module 202 receives the treatment information of the patient with chronic obstructive pulmonary disease sent by the medical institution management platforms 102 at different levels, so that the health diagnosis module 204 can diagnose the health state of the patient with chronic obstructive pulmonary disease according to the personal file, the treatment information, and the physical sign information, and the prevention strategy formulation module 205 formulates a prevention strategy according to the health state.
Optionally, in combination with the embodiment shown in fig. 2, as shown in fig. 3, in some embodiments of the invention, the health diagnosis module 204 includes:
the first health diagnosis unit 301 is used for acquiring a lung function detection FEV1/FVC value in the sign information, FEV1 represents a first-second forced expiratory volume, and FVC represents forced vital capacity;
a first health diagnosis unit 301, further configured to determine whether the lung function test FEV1/FVC value exceeds a threshold;
the first health diagnosis unit 301 is further used for determining that the patient with chronic obstructive pulmonary disease has suffered from chronic obstructive pulmonary disease when the lung function detection FEV1/FVC value does not exceed the threshold value;
the first health diagnosis unit 301 is further configured to diagnose the health status of the patient with chronic obstructive pulmonary disease according to the personal profile, the treatment information and the sign information when the lung function detection FEV1/FVC value exceeds the threshold value.
In the embodiment of the invention, the lung function detection FEV1/FVC value in the sign information is preferentially considered during diagnosis, FEV1 represents the forced expiratory volume in the first second, and FVC represents the forced vital capacity, the threshold value is set to be 0.7 during general medical diagnosis, and if the FEV1/FVC value does not exceed 0.7, the slow obstructive pulmonary patient is suffered from slow obstructive pulmonary; if the FEV1/FVC value exceeds 0.7, the lung function is normal, and in order to ensure the inaccuracy of the determination by the FEV1/FVC value alone, the comprehensive diagnosis by the personal file, the treatment information and the physical sign information is further needed, thereby ensuring the reliability of the diagnosis.
Optionally, in combination with the embodiment shown in fig. 3, as shown in fig. 4, in some embodiments of the present invention, the health diagnosis module 204 further includes:
a priority determination unit 401 and a second health diagnosis unit 402;
a priority determination unit 401, configured to determine, according to a preset priority rule, priority levels of the personal file, the treatment information, and the physical sign information when the first health diagnosis unit 301 determines that the health status of the patient with chronic obstructive pulmonary disease is that the patient has suffered from chronic obstructive pulmonary disease;
a second health diagnosis unit 402, configured to perform diagnosis according to the priority levels of the personal files, the treatment information, and the physical sign information, and determine whether the health status of the patient with chronic obstructive pulmonary disease is that the patient has suffered from chronic obstructive pulmonary disease, and if so, output the health status of the patient with chronic obstructive pulmonary disease as that the patient has suffered from chronic obstructive pulmonary disease; if not, outputting the health state of the patient with the chronic obstructive pulmonary disease not to be suffered from the chronic obstructive pulmonary disease.
In the embodiment of the present invention, in the embodiment shown in fig. 3, when the health status of the patient with chronic obstructive pulmonary disease diagnosed by the first health diagnosis unit 301 is that the patient has suffered from chronic obstructive pulmonary disease, it is further required to diagnose according to the priority levels of the personal profile, the treatment information and the physical sign information, the personal profile, the treatment information and the physical sign information can all represent the diseased status of the patient with chronic obstructive pulmonary disease, for example, the personal profile can represent the height, weight, sex, age, etc. of the patient with chronic obstructive pulmonary disease, the treatment information can represent the treatment process and the treatment result of the patient with chronic obstructive pulmonary disease at each diagnosis, etc., the physical sign information can represent the current physical sign status of the patient with chronic obstructive pulmonary disease, and the diagnosis is very complicated by using the personal profile, the treatment information and the physical sign information, in this case, we propose that according to preset priority rules, setting the priority levels of the personal file, the treatment information and the physical sign information, using the personal file, the treatment information and the physical sign information according to the priority levels to diagnose the health, and further determining whether the health state of the patient suffering from chronic obstructive pulmonary disease is the patient suffering from chronic obstructive pulmonary disease.
In the above embodiment shown in fig. 4, how the priority level determining unit 401 determines the priority level and how the second health diagnosing unit 402 diagnoses based on the priority level are not specifically described, and the following description is made by way of example.
Alternatively, in conjunction with the embodiment shown in fig. 4, in some embodiments of the invention,
the priority judging unit 401 is specifically configured to perform element analysis on the personal file, the treatment information, and the physical sign information, and obtain priority elements in the personal file, the treatment information, and the physical sign information, where at least one priority element is included;
the priority judging unit 401 is further configured to judge priority levels of the personal profile, the treatment information, and the physical sign information according to the priority elements, where the priority levels are at least two levels;
the second health diagnosis unit 402 is specifically configured to diagnose according to the priority levels of the personal profile, the treatment information, and the physical sign information and according to a principle that the priority levels are from high to low, and determine whether the health status of the patient with chronic obstructive pulmonary disease is that the patient has suffered from chronic obstructive pulmonary disease;
or the like, or, alternatively,
the second health diagnosis unit 402 is specifically configured to select the highest priority level for diagnosis according to the priority levels of the personal profile, the treatment information, and the physical sign information, and determine whether the health status of the patient with chronic obstructive pulmonary disease is that the patient has suffered from chronic obstructive pulmonary disease.
In the embodiment of the present invention, the personal profile, the treatment information, and the physical sign information have various elements, for example, the personal profile includes: demographic data (e.g., height, weight, gender, date of birth, address, marital status, cultural level, etc.), medical history (smoking history, number of acute exacerbations, occupational exposure history, biofuel exposure history, family history, etc.), questionnaire scores (chronic obstructive pulmonary disease assessment scale-CAT, dyspnea index-mrc, COPD clinical questionnaire, etc.), and the like; the treatment information includes: diagnostic information (chronic obstructive pulmonary disease, chronic obstructive pulmonary acute exacerbation period, chronic obstructive pulmonary disease combined with asthma, ACO and the like), medical history (smoking history, acute exacerbation times, occupational exposure history, biofuel exposure history, family history and the like), examination results (exhaled nitric oxide, dermatophagoides farinae test, pulmonary function index, chest radiograph, pulmonary CT, blood routine, biochemical index and the like), drug therapy (short-acting bronchodilators, long-acting bronchodilators, inhaled glucocorticoids, bronchodilators + glucocorticoid combination, oral glucocorticoids, theophyllines, phosphodiesterase inhibitors, montelukast and the like), other non-drug therapy (oxygen therapy, non-invasive ventilator use, pulmonary rehabilitation therapy and other treatment methods) and the like; the sign information comprises: pulse, blood pressure, respiratory rate, electrocardiogram, changes in lung function, blood oxygen saturation, and the like. Therefore, the priority determining unit 301 is required to perform element analysis on the personal profile, the treatment information and the physical sign information to obtain at least one priority element in the personal profile, the treatment information and the physical sign information. According to the research data of the target population screened for the chronic obstructive pulmonary disease, the high-risk factors causing the chronic obstructive pulmonary disease are as follows: tobacco exposure (impact 61.5%), use of biofuel/solid fuel (impact 53.85%), gender male (impact 30.77%), age (impact 30.77%), BMI (impact 30.77%), family history (impact 30.77%), respiratory illness history (impact 30.77%), professional exposure to dust (impact 23.08%), low education level (impact 23.08%). Therefore, the above tobacco exposure, biofuel/solid fuel usage, sex male, age, BMI, family history, respiratory disease history, occupational exposure to dust, low education level can be important reference indicators for priority elements. In addition, other factors may also be considered, and are not particularly limited.
The priority elements are assumed to be recording time of the personal file, treatment time of each treatment in the treatment information, and monitoring time of each lung monitoring and rehabilitation management device 101 for monitoring physical signs in the physical sign information, at least two priority levels are preset when priority levels of the personal file, the treatment information and the physical sign information are judged, and different priority level division rules of the personal file, the treatment information and the physical sign information are set according to time. The recording time of the personal profile is 1 year (specifically, other times, such as 2 years or 3 years and the like) as a division rule, if the current time is 2019, year 1, the recording time of the personal profile is 2015, and if the recording time exceeds 1 year, the priority level of the personal profile is 0, and if the current time is 2019, month 1, the recording time of the personal profile is 2018, month 10, and if the recording time does not exceed 1 year, the priority level of the personal profile is 1. The treatment time of the treatment information is defined by 1 month (specifically, other times), and if the current treatment time is 2019 for 1 month and the last treatment time is 2015 for more than 1 month, the priority level of the treatment information is 0, and if the current treatment time is 2019 for 1 month and the last treatment time is 2019 for 1 month and is not more than 1 month, the priority level of the treatment information is 1. The monitoring time of the physical sign information takes 1 day (specifically, other times can also be taken as a division rule), if the current time is 10 points in 1 month and 10 days in 2019, the last monitoring time is 10 points in 1 month and 8 days in 2019, the priority level of the physical sign information is 0 if the current time is 10 points in 1 month and 10 days in 2019, and the last monitoring time is 12 points in 1 month and 9 days in 2019, and the priority level of the physical sign information is 1 if the last monitoring time is not more than 1 day. For example, only two priority levels of 0 and 1 are used, and in practical applications, the two priority levels are not limited to the two levels.
After determining the priority level, the second health diagnosis unit 402 needs to determine whether the health status of the patient with chronic obstructive pulmonary disease is that the patient has suffered from chronic obstructive pulmonary disease according to the priority level, which specifically includes:
assuming that the priority level of the personal file is 1, the priority level of the treatment information is 2 and the priority level of the physical sign information is 3, when diagnosis is performed, the diagnosis is performed according to the principle that the priority levels are from high to low, namely, the physical sign information is considered preferentially, then the treatment information is considered, and finally the personal file is considered, after comprehensive diagnosis is performed, the health state of the patient with slow obstructive pulmonary disease is obtained, and whether the health state of the patient with slow obstructive pulmonary disease is the patient with slow obstructive pulmonary disease or not is determined;
alternatively, the first and second electrodes may be,
assuming that the priority level of the personal file is 1, the priority level of the treatment information is 2, and the priority level of the physical sign information is 3, when diagnosis is performed, the method is adopted to select the diagnosis with the highest priority level, namely, diagnosis is performed only by using the physical sign information, so that the health state of the patient with chronic obstructive pulmonary disease is obtained, and whether the health state of the patient with chronic obstructive pulmonary disease is determined.
Optionally, in combination with the embodiment shown in fig. 3, as shown in fig. 5, in some embodiments of the invention, the health diagnosis module 204 further includes:
a weight assignment unit 501 and a third health diagnosis unit 502;
the weight calculation unit 501 is configured to, when the first health diagnosis unit 301 determines that the health state of the patient with chronic obstructive pulmonary disease is that the patient has suffered from chronic obstructive pulmonary disease, perform element analysis on the personal file, the treatment information, and the physical sign information to obtain at least one weight element in the personal file, the treatment information, and the physical sign information;
the weight assignment unit 501 is further configured to perform weight assignment on the weight elements according to a weight assignment rule;
the third health diagnosis unit 502 is configured to calculate a total weight value of the personal profile, the treatment information, and the physical sign information according to the weight assignment of the weight element, select the highest total weight value for diagnosis, and determine whether the health state of the patient with chronic obstructive pulmonary disease is the patient with chronic obstructive pulmonary disease;
or the like, or, alternatively,
and the third health diagnosis unit 502 is configured to select, according to the weight assignment of the weight elements, the weight element reaching the weight threshold from the weight elements as a diagnosis element, perform diagnosis according to the diagnosis element, and determine whether the health state of the patient with chronic obstructive pulmonary disease is that the patient has suffered from chronic obstructive pulmonary disease.
In the embodiment of the present invention, when the first health diagnosis unit 301 determines that the health status of the patient with chronic obstructive pulmonary disease is the patient with chronic obstructive pulmonary disease, the personal file, the treatment information, and the physical sign information can all represent the disease condition of the patient with chronic obstructive pulmonary disease, for example, the personal file can represent the height, weight, sex, age, etc. of the patient with chronic obstructive pulmonary disease, the treatment information can represent the treatment process, treatment result, etc. of the patient with chronic obstructive pulmonary disease each time, the physical sign information can represent the current physical sign of the patient with chronic obstructive pulmonary disease, so that the diagnosis using the personal file, the treatment information, and the physical sign information is very complicated, in this embodiment, the weight assignment unit 401 extracts the elements in the personal file, the treatment information, and the physical sign information to obtain the important elements related to the health diagnosis as the weight elements, and according to the research data of the target group screened for the chronic obstructive pulmonary disease, high risk factors leading to chronic obstructive pulmonary disease are: tobacco exposure (impact degree 61.5%), use of biofuel/solid fuel (impact degree 53.85%), gender male (impact degree 30.77%), age (impact degree 30.77%), BMI (impact degree 30.77%), family history (impact degree 30.77%), respiratory disease history (impact degree 30.77%), professional exposure to dust (impact degree 23.08%), low education level (impact degree 23.08%). Tobacco exposure, biofuel/solid fuel use, gender male, age, BMI, family history, respiratory disease history, occupational exposure to dust, low educational levels were used as weighted elements according to the study data.
After the weight elements are selected, the weight elements are assigned according to a weight assignment rule, wherein the weight assignment rule is established in advance, and the weight assignment rule comprehensively considers the health influence condition of the slow obstructive pulmonary patient caused by the weight elements, for example, the influence of the treatment result is large, the weight assignment is high, and the weight assignment is small when the lung function change is stable. According to the weight assignment rule, since the influence degree of tobacco exposure is 61.5%, and the influence degree is relatively highest, the weight value is assigned to be 5; the impact of the use of biofuel/solid fuel was 53.85%, next to tobacco exposure, giving a weight value of 4; the influence degree of sex men, age, BMI, family history and respiratory disease history is 30.77 percent, which is lower than the use of biofuel/solid fuel, and the weight value is 3; the influence degree of occupational exposure dust and low education level is 23.08%, the influence degree belongs to the lowest research data, and the weight value is given to 2; in addition, other components having smaller or no influence may be given a weight value of 1 or 0.
The third health diagnosis unit 502 performs a diagnosis process according to the weight assignment of the weight element, which is specifically as follows:
after each weight element is assigned, summing the weight assignments of all weight elements in the personal file to obtain a total weight value of the personal file; summing the weight assignments of all weight elements in the treatment information to obtain a total weight value of the treatment information; and summing the weight assignments of all weight elements in the sign information to obtain a total weight value of the sign information. Selecting the highest total weight value for diagnosis to obtain the health state of the patient with chronic obstructive pulmonary disease, and determining whether the health state of the patient with chronic obstructive pulmonary disease is the patient with chronic obstructive pulmonary disease;
alternatively, the first and second electrodes may be,
after each weight element is assigned by the weight assignment unit 401, the weight element reaching the weight threshold value among the weight elements is selected as a diagnosis element, for example, the weight assignment of the treatment result is 5, the weight assignment of the lung function change is 1, and the weight threshold value is set to 3, that is, the weight element whose weight assignment exceeds 3 is used as a diagnosis element, then the treatment result is used as a diagnosis element, diagnosis is performed using the treatment result, the health state of the patient with chronic obstructive pulmonary disease is obtained, and whether the health state of the patient with chronic obstructive pulmonary disease is the patient suffering from chronic obstructive pulmonary disease is determined. It should be noted that the number of the diagnostic elements may be one or more, and is not limited.
Optionally, with reference to the above embodiments, as shown in fig. 6, in some embodiments of the present invention, the system for controlling and managing chronic obstructive pulmonary disease further includes:
the system comprises a slow obstructive pulmonary screening platform 601, a patient mobile intelligent terminal 602, a medical staff mobile intelligent terminal 603 and a slow obstructive pulmonary standard platform 604;
the slow obstructive pulmonary disease screening platform 601 is used for recording and storing patient files of known patients with slow obstructive pulmonary disease, analyzing the patient files by a statistical stepwise regression analysis method, constructing a screening model, verifying the specificity and sensitivity of screening equipment by a random sampling and checking mode, performing initial diagnosis on screened crowds by statistically analyzing the accuracy and feasibility of the screening model, and diagnosing patients suffering from the slow obstructive pulmonary disease, high risk crowds not suffering from the slow obstructive pulmonary disease and safe crowds not suffering from the slow obstructive pulmonary disease;
the chronic obstructive pulmonary disease prevention and treatment management platform 604 is further configured to send a prevention and treatment strategy to the patient mobile intelligent terminal 602;
the chronic obstructive pulmonary disease prevention and treatment management platform 605 is further configured to send the prevention and treatment strategy and the personal file to the medical staff mobile intelligent terminal 603;
the chronic obstructive pulmonary disease standard platform 604 is used for formulating a standardized chronic obstructive pulmonary disease prevention and control and rehabilitation management technology and a diagnosis and treatment scheme based on the internet of things technology, and establishing a technical standard and quality control system for chronic obstructive pulmonary disease prevention, graded diagnosis and treatment and rehabilitation management;
the chronic obstructive pulmonary disease standard platform 604 is further configured to analyze the disease characteristics of chronic obstructive pulmonary disease in different regions, establish a test point base according to local medical conditions, obtain an electronic health record of the chronic obstructive pulmonary disease patients in the region where the test point base is located, and establish an information database of the chronic obstructive pulmonary disease patients in all the regions.
In the embodiment of the invention, the slow obstructive pulmonary screening platform 601 records and stores patient files of known patients with slow obstructive pulmonary disease, analyzes the patient files by a statistical stepwise regression analysis method to construct a screening model, wherein the statistical stepwise regression analysis method can specifically be a Logistic stepwise regression model. Since the early screening is performed by using the existing intelligent equipment for early screening of the chronic obstructive pulmonary disease, such as a portable wireless pulmonary function instrument, the specificity and the sensitivity of the screening equipment need to be verified in a random spot check manner. Analyzing the early screening rate of the chronic obstructive pulmonary disease after the application of the screening technology and the feasibility and convenience analysis of screening population on the early screening technology, analyzing the patients with the chronic obstructive pulmonary disease screened by the technology, and counting the smoking cessation rate, the cooking rate of the clean energy instead and the awareness rate of the chronic obstructive pulmonary disease of the patients with the screening dry prognosis; is examined by quantitative and qualitative indexes such as the adoption condition of disease guidelines and expert consensus at home and abroad, introduction and popularization of other authors and the like. And carrying out initial diagnosis on the screened population, and diagnosing patients who suffer from the chronic obstructive pulmonary disease, high risk population who do not suffer from the chronic obstructive pulmonary disease and safe population who do not suffer from the chronic obstructive pulmonary disease. The control strategies for different crowds can be different, for example, for safe crowds who do not suffer from chronic obstructive pulmonary disease, a science popularization article related to the chronic obstructive pulmonary disease can be pushed regularly, and the public can know the disease understanding of the chronic obstructive pulmonary disease; for high-risk people who do not suffer from chronic obstructive pulmonary disease, pushing popular science articles related to the chronic obstructive pulmonary disease, developing knowledge lectures of the chronic obstructive pulmonary disease and preventing the chronic obstructive pulmonary disease; for patients suffering from chronic obstructive pulmonary disease, reminders such as knowledge lectures and rehabilitation exercises of the chronic obstructive pulmonary disease are developed, the compliance of the patients is improved, and the patients are urged to carry out autonomous rehabilitation management.
The patient mobile intelligent terminal 602 and the medical staff mobile intelligent terminal 603 can be specifically APP programs applied to personal intelligent equipment, wireless connection is established with the chronic obstructive pulmonary disease prevention and treatment management platform 604, the patient mobile intelligent terminal 602 can receive prevention and treatment strategies sent by the chronic obstructive pulmonary disease prevention and treatment management platform 604, the prevention and treatment strategies can be specifically reminding of regularly pushing related science popularization articles of the chronic obstructive pulmonary disease, developing knowledge lectures of the chronic obstructive pulmonary disease, regularly pushing medicine, rehabilitating exercise and the like, accordingly, the cognition of the patient on the disease is enhanced, the compliance of the patient is improved, and the patient is urged to carry out autonomous rehabilitation management. The medical staff mobile intelligent terminal 603 can receive the prevention strategy and the personal file sent by the chronic obstructive pulmonary disease prevention and treatment management platform 604, so that medical staff can check monitoring records, analysis results, medical orders and the like.
Besides, the system further comprises a chronic obstructive pulmonary disease standard platform 605, a pulmonary monitoring and rehabilitation management device 606, an information sharing interconnection platform 607 and various levels of medical management platforms 608.
By summoning the national field of chronic obstructive pulmonary disease prevention and treatment, rehabilitation treatment and authoritative experts and technical personnel in the field of Internet of things, developing the mode of the related conference of the slow obstructive pulmonary disease prevention and treatment and management based on the medical technology of Internet of things for a plurality of times, the slow obstructive pulmonary disease standard platform 605 formulates the technical guideline and diagnosis and treatment scheme of the standardized slow obstructive pulmonary disease prevention and treatment and rehabilitation management based on the technology of Internet of things, and establishes the technical standard and quality control system of the slow obstructive pulmonary disease prevention, graded diagnosis and rehabilitation management by relying on the slow obstructive pulmonary disease prevention and treatment management platform. Comprehensively considering the characteristics of chronic obstructive pulmonary disease in different regions in China, combining actual conditions such as local medical development level, clinical and scientific research capability and infrastructure of different units, carrying out test point base construction, carrying out corresponding standardized training step by step for hospitals in cities, districts and communities belonging to the base, applying established technical standards and quality control systems for chronic obstructive pulmonary disease prevention, graded diagnosis and treatment and rehabilitation management to carry out individualized and whole-course management systems such as slow obstructive pulmonary disease graded prevention, graded diagnosis and treatment evaluation, gradually establishing perfect and standard electronic health files for residents with chronic airway diseases in a demonstration community, carrying out corresponding quality control and timely feedback on the health files by a three-level medical center of the base, thereby realizing information collection, statistical analysis and management of the chronic obstructive pulmonary disease in each test point region, establishing an information database of patients with chronic obstructive pulmonary disease, perfecting a system for monitoring the slow obstructive pulmonary disease, the epidemic situation and the change trend of the incidence, illness and death of the chronic obstructive pulmonary disease and the risk factors are dynamically mastered and comprehensively analyzed, and the normative and the practicability of the system are verified. In addition, the science popularization articles and the evaluation questionnaire related to the chronic obstructive pulmonary disease can be directionally pushed regularly to urge self-management of the patient, the questions of the patient in the disease cognition and self-management aspect can be solved in time, and the cognition and self-management concept of the patient on the disease can be enhanced; meanwhile, the doctor-patient communication and the connection are strengthened. And evaluating and reporting the follow-up rate, the lung function change condition, the acute exacerbation condition and the risk factor change condition of the patients in the test community and the contrast community in time.
The chronic obstructive pulmonary disease prevention and treatment management system is described in detail in the above embodiments, and the chronic obstructive pulmonary disease prevention and treatment management method applied to the chronic obstructive pulmonary disease prevention and treatment management system is described in detail below by the embodiments.
Referring to fig. 7, an embodiment of the present invention provides a management method for preventing and treating chronic obstructive pulmonary disease, including:
701. establishing a personal file of a patient with chronic obstructive pulmonary disease;
in this embodiment, on the basis of the embodiment shown in fig. 1, the chronic obstructive pulmonary disease prevention and treatment management platform can obtain information of patients with chronic obstructive pulmonary disease through manual input by a platform manager, registration of patients with chronic obstructive pulmonary disease, or acquisition from management platforms of medical institutions at all levels, so as to establish personal profiles of all patients with chronic obstructive pulmonary disease.
702. Monitoring physical sign information of a patient suffering from chronic obstructive pulmonary disease;
in this embodiment, the lung monitoring and rehabilitation management device may specifically be a biological information monitor, a portable wireless lung function instrument, a noninvasive ventilator, and other wearable devices, and may be used to sense the physical sign information of a patient with chronic obstructive pulmonary disease, and the physical sign information may specifically be pulse, blood pressure, respiratory frequency, electrocardiography, lung function change, blood oxygen saturation, and the like. After the lung monitoring and rehabilitation management equipment monitors the physical sign information of the patient with chronic obstructive pulmonary disease, the physical sign information can be sent to the chronic obstructive pulmonary disease prevention and treatment management platform in a wired or wireless mode.
703. When the patient with chronic obstructive pulmonary disease is diagnosed, acquiring treatment information of the patient with chronic obstructive pulmonary disease;
in this embodiment, each level of medical institution management platform is connected with the chronic obstructive pulmonary disease prevention and treatment management platform through the information sharing interconnection platform, so that information sharing between each level of medical institution management platform is realized, and the chronic obstructive pulmonary disease prevention and treatment management platform can track the treatment condition of a patient with chronic obstructive pulmonary disease in real time, so as to facilitate dynamic adjustment of the prevention and treatment strategy. When the patient with chronic obstructive pulmonary disease is diagnosed and treated, the management platforms of all levels of medical institutions send treatment information to the control management platform for chronic obstructive pulmonary disease.
704. Diagnosing the health state of the patient with chronic obstructive pulmonary disease according to the personal file, the treatment information and the physical sign information, and making a prevention and treatment strategy according to the health state.
In the embodiment, a data mining algorithm is operated to diagnose the health state of the patient with chronic obstructive pulmonary disease according to the personal file, the treatment information and the physical sign information, and corresponding prevention strategies are formulated according to different health states according to an expert system. Thereby realizing the individual management of the chronic obstructive pulmonary disease.
In the embodiment of the invention, the chronic obstructive pulmonary disease prevention and treatment management platform operates a data mining algorithm to diagnose the health state of the patient with chronic obstructive pulmonary disease according to the personal file, the treatment information and the body characteristic information, and then makes corresponding prevention and treatment strategies according to different health states according to an expert system. Thereby realizing the individual management of the chronic obstructive pulmonary disease.
Referring to fig. 8 in conjunction with the embodiment shown in fig. 7, an embodiment of the present invention provides a management method for preventing and treating chronic obstructive pulmonary disease, including:
801. establishing a personal file of a patient with chronic obstructive pulmonary disease;
please refer to step 701 in the embodiment shown in fig. 7 for details.
802. Monitoring physical sign information of a patient suffering from chronic obstructive pulmonary disease;
please refer to step 702 in the embodiment shown in fig. 7 for details.
803. When the patient with chronic obstructive pulmonary disease is diagnosed, acquiring treatment information of the patient with chronic obstructive pulmonary disease;
refer to step 703 in the embodiment shown in FIG. 7 for details.
804. Acquiring a lung function detection FEV1/FVC value in the sign information;
in this embodiment, it is preferable to consider that the sign information includes a lung function detection FEV1/FVC value, FEV1 represents a first-second forced expiratory volume, and FVC represents a forced vital capacity when performing the diagnosis.
805. Judging whether the FEV1/FVC value exceeds a threshold value or not;
in this embodiment, in the case of general medical diagnosis, the threshold is set to 0.7, and if the FEV1/FVC value does not exceed 0.7, it indicates that the patient with chronic obstructive pulmonary disease has suffered from chronic obstructive pulmonary disease; if the FEV1/FVC value exceeds 0.7, it indicates that the lung function is normal, and in this case, in order to ensure the inaccuracy of the determination by the FEV1/FVC value alone, it is necessary to further perform comprehensive diagnosis by the personal file, the treatment information and the physical sign information, thereby ensuring the reliability of the diagnosis. When the lung function detection FEV1/FVC value does not exceed the threshold, perform step 806; when the lung function detection FEV1/FVC value exceeds the threshold, step 807 is performed.
806. Determining that a patient with chronic obstructive pulmonary disease has suffered from chronic obstructive pulmonary disease;
in this embodiment, when the FEV1/FVC value of the lung function test does not exceed 0.7, it is determined that the patient with chronic obstructive pulmonary disease has suffered from chronic obstructive pulmonary disease.
807. Diagnosing the health state of the patient suffering from chronic obstructive pulmonary disease according to the personal file, the treatment information and the physical sign information;
in this embodiment, when the FEV1/FVC value of the lung function detection exceeds 0.7, a data mining algorithm is run to diagnose the health status of the patient with chronic obstructive pulmonary disease according to the personal profile, the treatment information and the physical sign information.
808. And (5) making a prevention and treatment strategy according to the health state.
In the embodiment, the corresponding prevention strategy is formulated according to different health states according to an expert system. Thereby realizing the individual management of the chronic obstructive pulmonary disease.
In the above embodiment shown in fig. 8, how to diagnose according to the personal profile, the treatment information, and the physical sign information is not specifically described, and the diagnosis may be specifically performed by assigning a priority level or a weight, which is described below by way of example.
The method comprises the following steps of (A), diagnosing in a priority level mode;
referring to fig. 9, an embodiment of the present invention provides a management method for preventing and treating chronic obstructive pulmonary disease, including:
901. establishing a personal file of a patient with chronic obstructive pulmonary disease;
please refer to step 701 in the embodiment shown in fig. 7 for details.
902. Monitoring physical sign information of a patient suffering from chronic obstructive pulmonary disease;
please refer to step 702 in the embodiment shown in fig. 7 for details.
903. When the patient with chronic obstructive pulmonary disease is diagnosed, acquiring treatment information of the patient with chronic obstructive pulmonary disease;
refer to step 703 in the embodiment shown in FIG. 7 for details.
904. Acquiring a lung function detection FEV1/FVC value in the sign information;
please refer to step 804 in the embodiment shown in fig. 8 for details.
905. Judging whether the FEV1/FVC value exceeds a threshold value or not;
in this embodiment, in the case of general medical diagnosis, the threshold is set to 0.7, and if the FEV1/FVC value does not exceed 0.7, it indicates that the patient with chronic obstructive pulmonary disease has suffered from chronic obstructive pulmonary disease; if the FEV1/FVC value exceeds 0.7, it indicates that the lung function is normal, and in this case, in order to ensure the inaccuracy of the determination by the FEV1/FVC value alone, it is necessary to further perform comprehensive diagnosis by the personal file, the treatment information and the physical sign information, thereby ensuring the reliability of the diagnosis. When the lung function detection FEV1/FVC value does not exceed the threshold, perform step 906; when the lung function detection FEV1/FVC value exceeds the threshold, step 907 is performed.
906. Determining that a patient with chronic obstructive pulmonary disease has suffered from chronic obstructive pulmonary disease;
in this embodiment, when the FEV1/FVC value of the lung function test does not exceed 0.7, it is determined that the patient with chronic obstructive pulmonary disease has suffered from chronic obstructive pulmonary disease.
907. And diagnosing the health state of the patient suffering from chronic obstructive pulmonary disease according to the personal file, the treatment information and the physical sign information.
In this embodiment, when the FEV1/FVC value of the lung function detection exceeds 0.7, a data mining algorithm is run to diagnose the health status of the patient with chronic obstructive pulmonary disease according to the personal profile, the treatment information and the physical sign information.
908. When the health state of the patient suffering from chronic obstructive pulmonary disease is that the patient suffers from chronic obstructive pulmonary disease, judging the priority levels of the personal file, the treatment information and the physical sign information according to a preset priority rule;
in this embodiment, when the health status of the patient with chronic obstructive pulmonary disease in step 907 is that the patient has suffered from chronic obstructive pulmonary disease, the priority levels of the personal file, the treatment information, and the physical sign information are determined according to the preset priority rules, and the specific process is as follows:
the method comprises the steps of carrying out element analysis on a personal file, treatment information and sign information to obtain priority elements in the personal file, the treatment information and the sign information, wherein the personal file, the treatment information and the sign information can reflect the diseased condition of a patient with slow obstructive pulmonary disease, for example, the personal file can reflect the height, weight, sex, age and the like of the patient with slow obstructive pulmonary disease, the treatment information can reflect the treatment process, treatment result and the like of the patient with slow obstructive pulmonary disease in each visit, the sign information can reflect the current sign condition of the patient with slow obstructive pulmonary disease, and diagnosis by utilizing the personal file, the treatment information and the sign information is very complicated.
The priority elements are assumed to be recording time of the personal file, treatment time of each treatment in the treatment information, and monitoring time of each lung monitoring and rehabilitation management device 101 for monitoring physical signs in the physical sign information, at least two priority levels are preset when priority levels of the personal file, the treatment information and the physical sign information are judged, and different priority level division rules of the personal file, the treatment information and the physical sign information are set according to time. The recording time of the personal profile is 1 year (specifically, other times, such as 2 years or 3 years and the like) as a division rule, if the current time is 2019, year 1, the recording time of the personal profile is 2015, and if the recording time exceeds 1 year, the priority level of the personal profile is 0, and if the current time is 2019, month 1, the recording time of the personal profile is 2018, month 10, and if the recording time does not exceed 1 year, the priority level of the personal profile is 1. The treatment time of the treatment information is defined by 1 month (specifically, other times), and if the current treatment time is 2019 for 1 month and the last treatment time is 2015 for more than 1 month, the priority level of the treatment information is 0, and if the current treatment time is 2019 for 1 month and the last treatment time is 2019 for 1 month and is not more than 1 month, the priority level of the treatment information is 1. The monitoring time of the physical sign information takes 1 day (specifically, other times can also be taken as a division rule), if the current time is 10 points in 1 month and 10 days in 2019, the last monitoring time is 10 points in 1 month and 8 days in 2019, the priority level of the physical sign information is 0 if the current time is 10 points in 1 month and 10 days in 2019, and the last monitoring time is 12 points in 1 month and 9 days in 2019, and the priority level of the physical sign information is 1 if the last monitoring time is not more than 1 day. For example, only two priority levels of 0 and 1 are used, and in practical applications, the two priority levels are not limited to the two levels. When the diagnosis is performed according to the priority level, two specific ways may be adopted, the first way is to perform the diagnosis according to the principle that the priority level is from high to low, and step 909 is executed; the second is to choose the highest priority level for diagnosis, and execute step 910.
909. According to the priority levels of the personal files, the treatment information and the physical sign information, diagnosis is carried out according to the principle that the priority levels are from high to low, and whether the health state of the patient suffering from chronic obstructive pulmonary disease is the state of suffering from chronic obstructive pulmonary disease is determined;
in this embodiment, it is assumed that the priority level of the personal file is 1, the priority level of the treatment information is 2, and the priority level of the physical sign information is 3, and when diagnosis is performed, diagnosis is performed according to the principle that the priority levels are from high to low, that is, the physical sign information is preferentially considered, then the treatment information is considered, and finally the personal file is considered, after comprehensive diagnosis is performed, the health state of the patient with chronic obstructive pulmonary disease is obtained, and whether the health state of the patient with chronic obstructive pulmonary disease is the patient suffering from chronic obstructive pulmonary disease is determined.
910. According to the priority levels of the personal files, the treatment information and the physical sign information, selecting the highest priority level for diagnosis, and determining whether the health state of the patient suffering from chronic obstructive pulmonary disease is the health state of the patient suffering from chronic obstructive pulmonary disease;
in this embodiment, it is assumed that the priority level of the personal file is 1, the priority level of the treatment information is 2, and the priority level of the physical sign information is 3, and when performing diagnosis, the method is to select the highest priority level for diagnosis, that is, perform diagnosis only using the physical sign information, to obtain the health status of the patient with chronic obstructive pulmonary disease, and determine whether the health status of the patient with chronic obstructive pulmonary disease is the patient with chronic obstructive pulmonary disease.
911. And (5) making a prevention and treatment strategy according to the health state.
In the implementation, corresponding prevention strategies are formulated according to different health states by an expert system.
And (II) diagnosing in a weight assignment mode.
Referring to fig. 10, an embodiment of the present invention provides a management method for preventing and treating chronic obstructive pulmonary disease, including:
1001. establishing a personal file of a patient with chronic obstructive pulmonary disease;
please refer to step 701 in the embodiment shown in fig. 7 for details.
1002. Monitoring physical sign information of a patient suffering from chronic obstructive pulmonary disease;
please refer to step 702 in the embodiment shown in fig. 7 for details.
1003. When the patient with chronic obstructive pulmonary disease is diagnosed, acquiring treatment information of the patient with chronic obstructive pulmonary disease;
refer to step 703 in the embodiment shown in FIG. 7 for details.
1004. Acquiring a lung function detection FEV1/FVC value in the sign information;
please refer to step 804 in the embodiment shown in fig. 8 for details.
1005. Judging whether the FEV1/FVC value exceeds a threshold value or not;
in this embodiment, in the case of general medical diagnosis, the threshold is set to 0.7, and if the FEV1/FVC value does not exceed 0.7, it indicates that the patient with chronic obstructive pulmonary disease has suffered from chronic obstructive pulmonary disease; if the FEV1/FVC value exceeds 0.7, it indicates that the lung function is normal, and in this case, in order to ensure the inaccuracy of the determination by the FEV1/FVC value alone, it is necessary to further perform comprehensive diagnosis by the personal file, the treatment information and the physical sign information, thereby ensuring the reliability of the diagnosis. When the lung function detection FEV1/FVC value does not exceed the threshold, perform step 1006; when the lung function detection FEV1/FVC value exceeds the threshold, step 1007 is performed.
1006. Determining that a patient with chronic obstructive pulmonary disease has suffered from chronic obstructive pulmonary disease;
in this embodiment, when the FEV1/FVC value of the lung function test does not exceed 0.7, it is determined that the patient with chronic obstructive pulmonary disease has suffered from chronic obstructive pulmonary disease.
1007. Diagnosing the health state of the patient suffering from chronic obstructive pulmonary disease according to the personal file, the treatment information and the physical sign information;
in this embodiment, when the FEV1/FVC value of the lung function detection exceeds 0.7, a data mining algorithm is run to diagnose the health status of the patient with chronic obstructive pulmonary disease according to the personal profile, the treatment information and the physical sign information.
1008. When the health state of the patient suffering from chronic obstructive pulmonary disease is that the patient suffers from chronic obstructive pulmonary disease, performing element analysis on the personal file, the treatment information and the physical sign information to obtain weight elements in the personal file, the treatment information and the physical sign information;
1009. carrying out weight assignment on the weight elements according to a weight assignment rule;
in this embodiment, after the weight elements are selected, the weight elements are assigned according to a weight assignment rule, where the weight assignment rule is pre-established, and the influence of the weight elements on the health of the patient with chronic obstructive pulmonary disease is comprehensively considered, for example, if the influence of the treatment result is large, the weight assignment is high, and if the lung function change is monitored to be stable, the weight assignment is small. According to the weight assignment rule, since the influence degree of tobacco exposure is 61.5%, and the influence degree is relatively highest, the weight value is assigned to be 5; the impact of the use of biofuel/solid fuel was 53.85%, next to tobacco exposure, giving a weight value of 4; the influence degree of sex men, age, BMI, family history and respiratory disease history is 30.77 percent, which is lower than the use of biofuel/solid fuel, and the weight value is 3; the influence degree of occupational exposure dust and low education level is 23.08%, the influence degree belongs to the lowest research data, and the weight value is given to 2; in addition, other influences, which are smaller or have no influence, may be given a weight value of 1 or 0.
Diagnosing according to the weight assignment of the weight elements, specifically adopting two modes, wherein the first mode is to select the highest total weight value for diagnosing, and executing step 1010; the second method is to select the weight element reaching the weight threshold value from the weight elements as a diagnosis element, perform diagnosis according to the diagnosis element, and execute step 1011.
1010. Calculating to obtain the total weight values of the personal files, the treatment information and the body characteristic information according to the weight assignment of the weight elements, selecting the highest total weight value for diagnosis, and determining whether the health state of the patient suffering from chronic obstructive pulmonary disease is the patient suffering from chronic obstructive pulmonary disease;
in this implementation, after each weight element is assigned, the weight assignments of all the weight elements in the personal profile are summed to obtain a total weight value of the personal profile; summing the weight assignments of all weight elements in the treatment information to obtain a total weight value of the treatment information; and summing the weight assignments of all weight elements in the sign information to obtain the total weight value of the sign information. And selecting the highest total weight value for diagnosis to obtain the health state of the patient with the chronic obstructive pulmonary disease, and determining whether the health state of the patient with the chronic obstructive pulmonary disease is the patient with the chronic obstructive pulmonary disease.
1011. According to the weight assignment of the weight elements, selecting the weight elements reaching a weight threshold value from the weight elements as diagnosis elements, diagnosing according to the diagnosis elements, and determining whether the health state of the patient suffering from chronic obstructive pulmonary disease is that the patient suffers from chronic obstructive pulmonary disease;
in this embodiment, after each weight element is assigned, a weight element reaching a weight threshold value among the weight elements is selected as a diagnosis element, for example, the weight assignment of the treatment result is 5, the weight assignment of the lung function change is 1, and the weight threshold value is set to 3, that is, the weight element whose weight assignment exceeds 3 is used as the diagnosis element, so that the treatment result is used as the diagnosis element, the treatment result is diagnosed by using the treatment result, the health state of the patient with chronic obstructive pulmonary disease is obtained, and whether the health state of the patient with chronic obstructive pulmonary disease is the patient who has suffered from chronic obstructive pulmonary disease is determined. It should be noted that the number of the diagnostic elements may be one or more, and is not limited.
1012. And (5) making a prevention and treatment strategy according to the health state.
In the implementation, corresponding prevention strategies are formulated according to different health states by an expert system.
In the embodiments of the present invention, in the embodiments shown in fig. 7 and fig. 8, how to perform diagnosis according to the priority levels and the weight assignment manners is respectively described, where the priority level manners include two manners, i.e., a principle that the priority level is from high to low and a manner that the selected priority level is highest, and the weight assignment manner also includes two manners, i.e., a total weight value is highest and a weight element reaching a weight threshold value is selected as a diagnosis element. Diversifying the methods of diagnosis of health status.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (10)

1. A chronic obstructive pulmonary disease (copd) prevention and management system, comprising:
the system comprises lung monitoring and rehabilitation management equipment, medical institution management platforms at all levels, an information sharing interconnection platform and a chronic obstructive pulmonary disease prevention and treatment management platform;
the lung monitoring and rehabilitation management equipment is connected with the chronic obstructive pulmonary disease prevention and treatment management platform, and the medical institution management platforms at all levels are connected with the chronic obstructive pulmonary disease prevention and treatment management platform through the information sharing interconnection platform;
the chronic obstructive pulmonary disease prevention and treatment management platform is used for establishing a personal file of a patient suffering from chronic obstructive pulmonary disease;
the lung monitoring and rehabilitation management device is used for monitoring the physical sign information of the chronic obstructive pulmonary disease patient and sending the physical sign information to the chronic obstructive pulmonary disease prevention and treatment management platform;
the management platforms of all levels of medical institutions are used for sending treatment information to the management platform of the chronic obstructive pulmonary disease prevention and treatment if the patients with chronic obstructive pulmonary disease have undergone diagnosis and treatment, so that information sharing of all levels of hospitals is realized;
the chronic obstructive pulmonary disease prevention and treatment management platform is further used for diagnosing the health state of the chronic obstructive pulmonary disease patient according to the personal file, the treatment information and the physical sign information, and making a prevention and treatment strategy according to the health state.
2. The system of claim 1, wherein the chronic obstructive pulmonary disease control management platform comprises:
the system comprises an equipment interface module, an information sharing interconnection interface module, a file module, a health diagnosis module and a prevention and control strategy making module;
the equipment interface module is connected with the lung monitoring and rehabilitation management equipment, and the information sharing interconnection interface module is connected with the information sharing interconnection platform;
the file module is used for establishing a personal file of the patient with the chronic obstructive pulmonary disease;
the equipment interface module is used for receiving the physical sign information of the chronic obstructive pulmonary disease patient sent by the pulmonary monitoring and rehabilitation management equipment;
the information sharing interconnection interface module is used for receiving the treatment information of the chronic obstructive pulmonary disease patient sent by the medical institution management platforms at all levels;
the health diagnosis module is used for diagnosing the health state of the patient suffering from chronic obstructive pulmonary disease according to the personal file, the treatment information and the sign information, wherein the health state comprises high risk groups suffering from chronic obstructive pulmonary disease and patients not suffering from chronic obstructive pulmonary disease and safe groups not suffering from chronic obstructive pulmonary disease;
and the prevention strategy making module is used for making prevention strategies according to the health state.
3. The system of claim 2, wherein the health diagnostic module comprises:
a first health diagnosis unit;
the first health diagnosis unit is used for acquiring a lung function detection FEV1/FVC value in the sign information, the FEV1 represents a first second forced expiratory volume, and the FVC represents forced vital capacity;
the first health diagnosis unit is also used for judging whether the lung function detection FEV1/FVC value exceeds a threshold value;
the first health diagnosis unit is further used for determining that the patient with chronic obstructive pulmonary disease has suffered from chronic obstructive pulmonary disease when the lung function detection FEV1/FVC value does not exceed a threshold value;
the first health diagnosis unit is further used for diagnosing the health state of the patient with chronic obstructive pulmonary disease according to the personal file, the treatment information and the sign information when the lung function detection FEV1/FVC value exceeds a threshold value.
4. The system of claim 3, wherein the health diagnostic module further comprises:
a priority judging unit and a second health diagnosis unit;
the priority judging unit is used for judging the priority levels of the personal file, the treatment information and the physical sign information according to a preset priority rule when the health state of the patient suffering from chronic obstructive pulmonary disease is that the patient suffers from chronic obstructive pulmonary disease;
the second health diagnosis unit is further used for diagnosing according to the priority levels of the personal files, the treatment information and the physical sign information and according to the priority levels, and determining whether the health state of the patient suffering from chronic obstructive pulmonary disease is that the patient suffers from chronic obstructive pulmonary disease;
the second health diagnosis unit is further used for outputting the health state of the patient with chronic obstructive pulmonary disease as the patient with chronic obstructive pulmonary disease if the second health diagnosis unit is used for outputting the health state of the patient with chronic obstructive pulmonary disease as the patient with chronic obstructive pulmonary disease;
the second health diagnosis unit is further used for outputting the health state of the patient with the chronic obstructive pulmonary disease if the patient does not suffer from the chronic obstructive pulmonary disease.
5. The system of claim 4,
the priority judging unit is specifically configured to perform element analysis on the personal profile, the treatment information, and the physical sign information, and obtain priority elements in the personal profile, the treatment information, and the physical sign information, where at least one priority element is included;
the priority judging unit is further configured to judge priority levels of the personal profile, the treatment information, and the physical sign information according to the priority elements, where the priority levels are at least two levels;
the health diagnosis unit is specifically used for diagnosing according to the priority levels of the personal files, the treatment information and the physical sign information and according to a principle that the priority levels are from high to low, and determining whether the health state of the patient suffering from chronic obstructive pulmonary disease is that whether the patient suffers from chronic obstructive pulmonary disease;
or the like, or, alternatively,
the health diagnosis unit is specifically configured to select the highest priority level for diagnosis according to the priority levels of the personal profile, the treatment information, and the physical sign information, and determine whether the health state of the patient with chronic obstructive pulmonary disease is that the patient has suffered from chronic obstructive pulmonary disease.
6. The system of claim 3, wherein the health diagnostic module further comprises:
a weight assignment unit and a third health diagnosis unit;
the weight calculation unit is used for performing element analysis on the personal file, the treatment information and the physical sign information when the health state of the patient suffering from chronic obstructive pulmonary disease is that the patient suffers from chronic obstructive pulmonary disease, and acquiring at least one weight element in the personal file, the treatment information and the physical sign information;
the weight assignment unit is also used for carrying out weight assignment on the weight elements according to a weight assignment rule;
the third health diagnosis unit is used for calculating the total weight values of the personal file, the treatment information and the physical sign information according to the weight assignment of the weight elements, selecting the highest total weight value for diagnosis, and determining whether the health state of the patient suffering from chronic obstructive pulmonary disease is affected;
or the like, or, alternatively,
and the third health diagnosis unit is used for selecting the weight element reaching a weight threshold value from the weight elements as a diagnosis element according to the weight assignment of the weight elements, diagnosing according to the diagnosis element and determining whether the health state of the patient suffering from chronic obstructive pulmonary disease is the health state of the patient suffering from chronic obstructive pulmonary disease.
7. A chronic obstructive pulmonary disease prevention and treatment management method is characterized by comprising the following steps:
establishing a personal file of a patient with chronic obstructive pulmonary disease;
monitoring vital sign information of the chronic obstructive pulmonary patient;
when the patient with chronic obstructive pulmonary disease is diagnosed, acquiring treatment information of the patient with chronic obstructive pulmonary disease;
diagnosing the health state of the patient with chronic obstructive pulmonary disease according to the personal file, the treatment information and the physical sign information, and formulating a prevention and treatment strategy according to the health state.
8. The method of claim 7, wherein before diagnosing the health status of the patient with chronic obstructive pulmonary disease based on the personal profile, the treatment information, and the physical sign information, and developing a prevention strategy based on the health status, the method further comprises:
acquiring a lung function detection FEV1/FVC value in the sign information, wherein the FEV1 represents a first-second forced expiratory volume, and the FVC represents forced vital capacity;
judging whether the lung function detection FEV1/FVC value exceeds a threshold value;
determining that the patient with chronic obstructive pulmonary disease has suffered from chronic obstructive pulmonary disease when the lung function detection FEV1/FVC value does not exceed a threshold value;
and when the lung function detection FEV1/FVC value exceeds a threshold value, diagnosing the health state of the patient with chronic obstructive pulmonary disease according to the personal file, the treatment information and the sign information.
9. The method of claim 8, wherein said diagnosing the health status of the patient with chronic obstructive pulmonary disease from the personal profile, the treatment information, and the sign information comprises:
when the health state of the patient suffering from chronic obstructive pulmonary disease is that the patient suffers from chronic obstructive pulmonary disease, judging the priority levels of the personal file, the treatment information and the physical sign information according to a preset priority rule;
according to the personal file, the treatment information and the priority level of the physical sign information, diagnosis is carried out according to the priority level, and whether the health state of the patient suffering from chronic obstructive pulmonary disease is the state of suffering from chronic obstructive pulmonary disease or not is determined;
if yes, outputting the health state of the patient suffering from the chronic obstructive pulmonary disease as the patient suffering from the chronic obstructive pulmonary disease;
if not, outputting the health state of the patient with the chronic obstructive pulmonary disease not to be suffered from the chronic obstructive pulmonary disease.
10. The method of claim 9, wherein said diagnosing the health status of the patient with chronic obstructive pulmonary disease from the personal profile, the treatment information, and the sign information comprises:
when the health state of the patient suffering from chronic obstructive pulmonary disease is that the patient suffers from chronic obstructive pulmonary disease, performing element analysis on the personal file, the treatment information and the physical sign information to obtain weight elements in the personal file, the treatment information and the physical sign information, wherein the weight element is at least one;
carrying out weight assignment on the weight elements according to a weight assignment rule;
calculating to obtain the total weight values of the personal file, the treatment information and the physical sign information according to the weight assignment of the weight elements, selecting the highest total weight value for diagnosis, and determining whether the health state of the patient suffering from chronic obstructive pulmonary disease is the state suffering from chronic obstructive pulmonary disease;
or the like, or, alternatively,
and selecting the weight elements reaching a weight threshold value from the weight elements as diagnosis elements according to the weight assignment of the weight elements, diagnosing according to the diagnosis elements, and determining whether the health state of the patient suffering from the chronic obstructive pulmonary disease is the patient suffering from the chronic obstructive pulmonary disease.
CN202010386591.6A 2020-05-09 2020-05-09 Chronic obstructive pulmonary disease prevention and treatment management method and system Pending CN111681725A (en)

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