CN118782235B - Auxiliary nursing system for cardiology patient - Google Patents
Auxiliary nursing system for cardiology patient Download PDFInfo
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Abstract
本发明公开了一种用于心内科患者的辅助护理系统，本发明涉及辅助护理领域，包括辅助护理平台，其中有心内科患者采集模块、患者数据预处理模块、护理资源管理模块、护理数据预处理模块、辅助护理监测模块以及护理数据预警模块；心内科患者采集模块采集患者病症信息；患者数据预处理模块获取患者诊断信息；护理资源管理模块根据患者诊断信息设置护理辅助资源；护理数据预处理模块根据护理辅助资源采集患者所对应的心内科监测数据；辅助护理监测模块根据心内科监测数据设置动态调整护理方案；护理数据预警模块根据动态调整护理方案对心内科监测数据进行处理，获取反馈信息；本发明在一定程度上提高了辅助护理过程中的准确性。
The invention discloses an auxiliary nursing system for cardiology patients, and the invention relates to the field of auxiliary nursing, including an auxiliary nursing platform, which comprises a cardiology patient acquisition module, a patient data preprocessing module, a nursing resource management module, a nursing data preprocessing module, an auxiliary nursing monitoring module and a nursing data early warning module; the cardiology patient acquisition module acquires patient symptom information; the patient data preprocessing module acquires patient diagnosis information; the nursing resource management module sets auxiliary nursing resources according to the patient diagnosis information; the nursing data preprocessing module acquires cardiology monitoring data corresponding to the patient according to the auxiliary nursing resources; the auxiliary nursing monitoring module sets a dynamically adjusted nursing plan according to the cardiology monitoring data; the nursing data early warning module processes the cardiology monitoring data according to the dynamically adjusted nursing plan to acquire feedback information; the invention improves the accuracy of the auxiliary nursing process to a certain extent.
Description
Technical Field
The invention relates to the field of auxiliary nursing, in particular to an auxiliary nursing system for a patient in a cardiology department.
Background
With aging of population and improvement of quality of life, cardiovascular diseases have become one of the main diseases threatening human health worldwide; among them, arrhythmia is the most common disorder in the endocardic department, its incidence rate rises year by year, arrhythmia patients need to closely monitor electrocardiographic changes in the course of treatment, so as to find out in time and take measures to prevent the disease from deteriorating;
However, the traditional nursing method often has a plurality of defects, only the standard data of singleness is set to monitor the nursing process of the patient in the department of cardiology, the effects of drug treatment and the like are ignored, and the accuracy in the auxiliary nursing process is affected to a certain extent, so how to improve the accuracy in the auxiliary nursing process is a problem which needs to be solved, and therefore, an auxiliary nursing system for the patient in the department of cardiology is provided.
Disclosure of Invention
In order to solve the technical problems, the invention aims to provide an auxiliary nursing system for a patient in a cardiology department.
The aim of the invention can be achieved by the following technical scheme: an auxiliary nursing system for a patient in a heart medical department comprises an auxiliary nursing platform, wherein the auxiliary nursing platform is internally and communicatively connected with a patient acquisition module in the heart medical department, a patient data preprocessing module, a nursing resource management module, a nursing data preprocessing module, an auxiliary nursing monitoring module and a nursing data early warning module;
the system comprises a heart internal medicine patient acquisition module, a patient account number acquisition module and a patient identification module, wherein the heart internal medicine patient acquisition module is used for acquiring patient condition information and patient identity information corresponding to a heart internal medicine patient, and setting a corresponding patient account number for a corresponding heart internal medicine patient;
The patient data preprocessing module is used for analyzing according to the patient disease information by medical staff and obtaining patient diagnosis information corresponding to the patient account;
The nursing resource management module is used for setting corresponding nursing auxiliary resources for corresponding patient accounts according to the patient diagnosis information;
The nursing data preprocessing module is used for carrying out data monitoring on a patient in the department of cardiology corresponding to the patient account according to nursing auxiliary resources, acquiring monitoring data in the department of cardiology, preprocessing the monitoring data, and judging whether nursing early warning information is generated according to a preprocessing result;
the auxiliary nursing monitoring module is used for carrying out integrated analysis according to nursing early warning information and intracardiac branch of academic monitoring data, setting a dynamic adjustment nursing scheme and sending the dynamic adjustment nursing scheme to the nursing data early warning module;
The nursing data early warning module is used for analyzing and processing the obtained intracardiac branch of academic or vocational study monitoring data according to a dynamic adjustment nursing scheme, feeding back corresponding nursing early warning information and sending the nursing early warning information into a corresponding medical care account.
Further, the process of the intracardiac branch of academic or vocational study patient collection module to gather patient's disease information and patient identity information that intracardiac branch of academic or vocational study patient corresponds includes:
an identity acquisition unit and a disease acquisition unit are arranged in the cardiology department patient acquisition module;
the identity acquisition unit is internally provided with a medical care input window and a patient input window which are respectively used for inputting medical care identity information and patient identity information, verifying the medical care identity information and the patient identity information and granting corresponding medical care account numbers and patient account numbers to the identity information passing verification;
The medical account number is used for inquiring the symptoms of the patient corresponding to the patient account number according to the corresponding medical staff, acquiring symptom inquiry data, analyzing and processing the acquired symptom inquiry data based on a semantic extraction algorithm and a keyword extraction algorithm, and acquiring inquiry symptom information;
The registered application information and the inquiry disorder information are marked as patient disorder data.
Further, the process of obtaining the patient diagnosis information corresponding to the patient account by the patient data preprocessing module includes:
The patient data preprocessing module is internally provided with a heart medical auxiliary diagnosis model, acquires patient disease data, inputs the patient disease data into the heart medical auxiliary diagnosis model for analysis, acquires auxiliary diagnosis results, and sends the acquired auxiliary diagnosis results into corresponding medical care account numbers; and the medical staff corresponding to the medical account number performs verification analysis by combining the patient disease information and the auxiliary diagnosis result to acquire the patient diagnosis result corresponding to the patient account number.
Further, the process of setting the corresponding nursing auxiliary resources for the corresponding patient account by the nursing resource management module according to the patient diagnosis information includes:
A resource management unit and a resource classification unit are arranged in the nursing resource management module;
The resource management unit stores corresponding nursing resource information, wherein the nursing resource information comprises equipment resource information and personnel resource information; the equipment resource information comprises equipment codes corresponding to nursing monitoring equipment and historical use record information corresponding to each piece of equipment; the personnel resource information comprises a medical account number and historical nursing information corresponding to the medical account number.
Further, the resource classification unit is used for distributing nursing auxiliary resources according to the historical use record information and the historical nursing information in the resource management unit;
Respectively carrying out statistical analysis according to the corresponding heart internal medicine disease types of the patient diagnosis results corresponding to the historical patient account numbers in the historical use record information and the historical nursing information corresponding to the nursing detection equipment and the medical care account numbers in the corresponding medical institutions, obtaining nursing quantity of different heart internal medicine disease types in each nursing monitoring equipment and the medical care account numbers, and carrying out sorting according to the nursing quantity, so as to obtain an equipment sorting queue and a medical care sorting queue corresponding to the heart internal medicine disease types;
Presetting a nursing auxiliary period and a nursing working state; acquiring the nursing working state corresponding to the equipment resource information and the personnel resource information in the nursing auxiliary period; screening the equipment sorting queue and the medical care sorting queue according to the nursing working state, and acquiring the equipment nursing sorting queue and the medical care sorting queue;
And acquiring a corresponding nursing sequencing queue according to the patient diagnosis result, acquiring equipment codes and medical care account numbers corresponding to nursing monitoring equipment and medical care personnel, and marking the equipment codes and the medical care account numbers as nursing auxiliary resources.
Further, the nursing data preprocessing module acquires and preprocesses the intracardiac branch of academic or vocational study monitoring data, and the process of judging whether to generate nursing early warning information according to the preprocessing result comprises the following steps:
Acquiring nursing auxiliary resources, associating a patient account with nursing monitoring equipment and a medical care account in the nursing auxiliary resources, and acquiring intracardiac monitoring data of corresponding intracardiac patients according to association results;
The nursing monitoring equipment carries out nursing monitoring on the intracardiac branch of academic or vocational study patient corresponding to the patient account number, and nursing monitoring data of the intracardiac branch of academic or vocational study equipment are obtained; nursing and monitoring are carried out on the intracardiac branch of academic or vocational study patient corresponding to the patient account by the medical care account, and intracardiac branch of academic or vocational study record nursing and monitoring data are obtained;
the nursing data preprocessing module acquires equipment nursing monitoring standard intervals of corresponding data types according to the type of the intracardiac branch of medical diseases corresponding to the diagnosis result of the patient, compares and analyzes the acquired intracardiac branch of medical equipment nursing monitoring data with the corresponding equipment nursing monitoring standard intervals respectively, does not generate nursing early warning information if the acquired intracardiac branch of medical equipment nursing monitoring data belongs to the corresponding equipment nursing monitoring standard intervals, and generates nursing early warning information if the acquired intracardiac branch of medical equipment nursing monitoring data does not belong to the corresponding equipment nursing monitoring standard intervals.
Further, the process of setting the dynamic adjustment care plan by the auxiliary care monitoring module includes:
acquiring intracardiac branch of academic or vocational study monitoring data, presetting a nursing monitoring period, analyzing and processing intracardiac branch of academic or vocational study equipment nursing monitoring data in the intracardiac branch of academic or vocational study monitoring data, and acquiring a corresponding equipment monitoring data change curve in the nursing monitoring period;
Acquiring a corresponding equipment detection data change standard interval according to the type of the intracardiac branch of academic or vocational study, comparing the acquired equipment detection data change curve with the equipment detection data change standard interval, and acquiring an intracardiac branch of academic or vocational study function coefficient corresponding to the patient account according to a comparison analysis result;
Analyzing and processing the efficacy of corresponding medicaments according to the intracardiac branch of academic or vocational study record nursing monitoring data and the intracardiac branch of vocational study functional coefficients, acquiring medicament action data, integrating the acquired medicament action data with corresponding equipment detection data change standard intervals, acquiring equipment detection data change adjustment intervals, and integrating equipment detection data change adjustment intervals corresponding to different types of data to acquire a dynamic adjustment nursing scheme.
Further, the process of feeding back the corresponding nursing early warning information by the nursing data early warning module comprises the following steps:
The nursing data early warning module acquires nursing monitoring data of the intracardiac branch of academic or vocational study equipment corresponding to the nursing early warning information, analyzes and processes the acquired nursing monitoring data of the intracardiac branch of academic or vocational study equipment and a corresponding equipment detection data change adjustment interval in a dynamic adjustment nursing scheme, if the nursing monitoring data and the equipment detection data change adjustment interval belong to the same, early warning feedback information is generated and sent to corresponding nursing monitoring equipment, and if the nursing monitoring data and the equipment detection data change adjustment interval do not belong to the same, alarm feedback information is generated and sent to the corresponding nursing monitoring equipment and a medical care account number which is correlated with a patient account number.
Compared with the prior art, the invention has the beneficial effects that:
1. The nursing resource management module is arranged to distribute corresponding nursing monitoring equipment and medical care accounts to corresponding intracardiac patients according to the diagnosis results of the patients, the corresponding auxiliary nursing equipment and the historical nursing information of the medical care accounts, so that the accuracy of the intracardiac patients in the auxiliary nursing process is improved to a certain extent;
2. Corresponding intracardiac branch of academic or vocational study record nursing monitoring data is gathered to the intracardiac branch of academic or vocational study patient, carries out dynamic adjustment to the equipment detection data change standard interval that the patient corresponds at present according to intracardiac branch of academic or vocational study record nursing monitoring data, acquires corresponding dynamic adjustment nursing scheme, monitors the intracardiac branch of academic or vocational study record nursing monitoring data that the intracardiac branch of vocational study patient corresponds through setting up dynamic adjustment nursing scheme, has improved the accuracy of supplementary nursing monitoring in-process to a certain extent.
Drawings
Fig. 1 is a schematic diagram of an assisted care system for a patient in a cardiology department according to an embodiment of the present application.
Detailed Description
As shown in FIG. 1, an auxiliary nursing system for a patient in a cardiology department comprises an auxiliary nursing center, wherein the auxiliary nursing platform is internally connected with a patient acquisition module in the cardiology department, a patient data preprocessing module, a nursing resource management module, a nursing data preprocessing module, an auxiliary nursing monitoring module and a nursing data early warning module in a communication manner.
The intracardiac branch of academic or vocational study patient collection module is used for gathering patient's disease information and patient's identity information that intracardiac branch of academic or vocational study patient corresponds to set up corresponding patient account to it, and its concrete implementation process includes:
an identity acquisition unit and a disease acquisition unit are arranged in the cardiology department patient acquisition module;
a medical care input window and a patient input window are arranged in the identity acquisition unit;
the medical care input window is used for inputting corresponding medical care identity information, wherein the medical care identity information comprises personal basic information, professional qualification information, medical permission information and medical function information;
the personal basic information comprises name, gender, birth date, ID card number and contact information;
The job qualification information includes a license number, a job category, and a job scope;
The medical license information includes a medical license and special qualification information;
the medical function information comprises departments or departments where medical staff is located and specific work responsibilities and tasks;
the patient input window is used for inputting corresponding patient identity information, and the patient identity information comprises personal basic information, past medical history and allergy history information;
the personal basic information comprises name, gender, birth date, ID card number and contact information;
The past medical history and allergy history information is corresponding historical disease records, operation records, drug use records and allergen information;
analyzing and processing the obtained medical care identity information and patient identity information, judging whether to grant the authority of the medical care identity information and the patient identity information to enter the auxiliary care platform, and if so, setting corresponding medical care account numbers and patient account numbers according to the medical care identity information and the patient identity information;
the medical account number is used for acquiring patient disease information corresponding to the corresponding patient account number;
a registration application window and a medical care inquiry window are arranged in the disease acquisition unit;
The registration application window is used for submitting registration application information by a patient account, and the registration application information comprises a registration doctor account, self-description symptom information and accessory information;
The medical account number registration is a medical account number set by a corresponding patient account number, and registration application information is sent to the corresponding medical account number;
the self-treatment disease information is the main symptoms or discomfort condition of the current treatment situation;
The accessory information is information such as medical records, examination reports, prescriptions and the like provided by the patient account;
the obtained registration application information is sent to a corresponding medical account;
The medical care inquiry window is used for acquiring registration application information sent by a patient account and performing preliminary diagnosis according to the registration application information;
The medical care account numbers perform disorder inquiry on the patients corresponding to the patient account numbers according to the corresponding medical care personnel, obtain disorder inquiry data, and analyze and process the obtained disorder inquiry data;
a semantic extraction algorithm and a keyword extraction algorithm are arranged in the auxiliary care platform;
the semantic extraction algorithm is used for carrying out semantic extraction on the corresponding disorder query data, acquiring semantic text information and sending the acquired semantic text information into the keyword extraction algorithm;
The keyword extraction algorithm is used for extracting keywords from the obtained semantic text information, obtaining disorder information corresponding to the keywords, and marking the disorder information as query disorder information;
And marking the acquired self-disorder information and inquiry disorder information as patient disorder data corresponding to the patient account number, and sending the patient disorder data to a patient data preprocessing module.
The patient data preprocessing module is used for analyzing and processing patient condition information corresponding to the corresponding patient account by the medical care account, acquiring patient diagnosis information corresponding to the patient account and sending the patient diagnosis information to the nursing resource management module, and the specific implementation process comprises the following steps:
the patient data preprocessing module is internally provided with a data preprocessing unit and a patient diagnosis unit;
the data preprocessing unit acquires patient disease data, analyzes and processes the acquired patient disease data, and comprises the following specific implementation processes:
The data preprocessing unit acquires relevant historical intracardiac branch of academic or vocational study data information in the auxiliary nursing platform, wherein the historical intracardiac branch of academic or vocational study data information comprises disease data corresponding to different intracardiac branch of academic or vocational study disease types; acquiring a disease data set corresponding to the type of the intracardiac medical disease of the corresponding type according to the historical intracardiac medical data information; extracting symptoms characteristic of the obtained symptoms data set;
Acquiring probability data of occurrence of corresponding disease data in the disease data set, setting probability weight intervals of the corresponding disease data of the cardiology department disease type according to the probability data, wherein the probability weight intervals respectively comprise a first weight interval, a second weight interval and a third weight interval, and the corresponding disease data of the corresponding disease data in the corresponding cardiology department disease type according to the weight intervals;
the first weight interval is general disorder data corresponding to the type of the intracardiac medical diseases;
The second weight interval is general disorder data corresponding to the type of the intracardiac medical diseases;
The second weight interval is special condition data corresponding to the type of the intracardiac medical diseases;
The data preprocessing unit is used for setting a intracardiac branch of academic knowledge graph corresponding to the disease type according to the corresponding disease type in the disease data set corresponding to the different intracardiac branch of academic disease type;
Setting a matching priority according to the corresponding disease type in the corresponding intracardiac branch of academic or vocational study knowledge graph, wherein the priority of the first weight interval is greater than that of the second weight interval, and the second weight interval is greater than that of the third weight interval;
Setting a disease data training set according to weight intervals of the endocardial disease types corresponding to different disease data in a endocardial knowledge graph, dividing the acquired disease data training set into a training set and a verification set, analyzing and processing the training set based on a deep learning algorithm, constructing a endocardial medical auxiliary diagnosis model, inputting the verification set into the endocardial medical auxiliary diagnosis model, judging whether the training set meets preset requirements, outputting the endocardial medical auxiliary diagnosis model if the training set meets the preset requirements, and retraining and verifying the endocardial medical auxiliary diagnosis model if the training set does not meet the preset requirements, and transmitting the endocardial medical auxiliary diagnosis model with the training and verification to a patient diagnosis unit;
the patient diagnosis unit is used for acquiring a heart internal medicine medical auxiliary diagnosis model, inputting patient disease information corresponding to a corresponding patient account into the heart internal medicine medical auxiliary diagnosis model, analyzing and processing the patient disease information by the heart internal medicine medical auxiliary diagnosis model, acquiring an auxiliary diagnosis result, and sending the acquired auxiliary diagnosis result into the corresponding medical account;
And the medical care account number is combined with the corresponding patient condition information and the corresponding auxiliary diagnosis result to acquire the patient diagnosis result corresponding to the patient account number, and the patient diagnosis result is sent to the nursing resource management module.
The nursing resource management module is used for setting corresponding nursing auxiliary resources for corresponding patient account numbers according to patient diagnosis information, wherein the nursing auxiliary resources comprise medical care resources and monitoring equipment resources, and the specific implementation process comprises the following steps:
A resource management unit and a resource classification unit are arranged in the nursing resource management module;
The resource management unit is used for acquiring and managing intracardiac medical care resources in corresponding medical institutions in the auxiliary care platform, and a resource input window is arranged in the resource management unit;
the resource input window is used for inputting nursing resource information corresponding to resource management personnel in the medical institution, and the nursing resource information comprises equipment resource information and personnel resource information;
the equipment resource information comprises equipment codes corresponding to nursing monitoring equipment contained in the corresponding medical institution and historical use record information corresponding to the corresponding equipment codes;
the staff resource information comprises medical care account numbers corresponding to medical staff included in the corresponding medical institutions and historical care information corresponding to the medical care account numbers;
the resource classification unit is used for setting corresponding nursing auxiliary resources for corresponding patient accounts according to the equipment resource information and the personnel resource information;
The resource classification unit respectively analyzes and processes the corresponding historical use record information and historical care information in the corresponding equipment resource information and personnel resource information;
Analyzing and processing the types of the intracardiac medical diseases corresponding to the patient diagnosis results corresponding to the historical patient accounts in the historical usage record information, acquiring the number of the intracardiac medical disease types corresponding to the historical patient accounts in each equipment code, counting, and sequencing the number of the intracardiac medical disease types corresponding to the nursing monitoring equipment corresponding to each equipment code from large to small according to the counting results;
Sorting according to the number corresponding to different heart medical disease types in the equipment codes in the corresponding medical institutions, obtaining the number of the heart medical disease types in the corresponding medical institutions, carrying out statistical analysis on the corresponding nursing monitoring equipment, sorting from large to small, and obtaining an equipment sorting queue corresponding to the heart medical disease types;
Analyzing and processing the types of the intracardiac diseases corresponding to the patient diagnosis results corresponding to the historical patient accounts in the historical nursing information, acquiring the number of the intracardiac disease types corresponding to the historical patient accounts corresponding to the medical care accounts, counting, and sequencing the number of the intracardiac disease types corresponding to the historical patient accounts corresponding to the medical care accounts from large to small according to the counting results;
Sorting according to the corresponding number of different heart medical disease types in each medical care account number in the corresponding medical care institution, obtaining the corresponding number of heart medical disease types in each medical care institution, carrying out statistical analysis on corresponding medical care personnel, sorting from large to small, and obtaining a medical care sorting queue corresponding to the corresponding heart medical disease types;
Acquiring a patient diagnosis result corresponding to the patient account, analyzing and processing equipment resource information and personnel resource information according to the patient diagnosis result, and acquiring corresponding nursing auxiliary resources;
presetting a nursing auxiliary period and a nursing working state;
The nursing working state comprises a device working state and a personnel working state;
the equipment working states comprise a working state and an idle state;
The personnel working states comprise an idle state, a nursing state and a full-load state;
Acquiring the nursing working state corresponding to the equipment resource information and the personnel resource information in the nursing auxiliary period;
Analyzing and processing nursing monitoring equipment and a medical care account corresponding to nursing working states in idle states and nursing states according to statistical results corresponding to the types of the intracardiac diseases corresponding to the diagnosis results of patients, acquiring the workload of the corresponding nursing monitoring equipment and the medical care account in a nursing auxiliary period, respectively arranging the workload corresponding to the nursing monitoring equipment and the medical care account according to the workload from small to large, and respectively acquiring an equipment nursing sorting queue and a medical care sorting queue;
acquiring equipment codes and medical care account numbers corresponding to the patient account numbers according to the ordering results of the equipment nursing ordering queue and the medical care ordering queue;
Setting nursing monitoring equipment corresponding to the acquired equipment codes and medical account numbers corresponding to medical staff as corresponding monitoring equipment resources and medical resources; the obtained monitoring equipment resources and medical care resources are marked as nursing auxiliary resources.
The nursing data preprocessing module is used for acquiring corresponding intracardiac branch of academic or vocational study monitoring data according to nursing auxiliary resources, setting corresponding edge preprocessing nodes according to monitoring equipment resources, analyzing and processing the intracardiac branch of vocational study monitoring data according to the edge preprocessing nodes, and acquiring preprocessing monitoring data, and the specific implementation process comprises the following steps:
The nursing data preprocessing module is internally provided with a nursing monitoring unit and a nursing preprocessing unit;
The nursing monitoring unit acquires a corresponding patient account number, and associates the patient account number with corresponding nursing auxiliary resources according to nursing auxiliary resources corresponding to the patient account number;
Acquiring corresponding monitoring equipment resources and medical care resources in the nursing auxiliary resources;
Correlating the corresponding patient account numbers with the corresponding nursing monitoring equipment according to equipment codes corresponding to the nursing monitoring equipment in the monitoring equipment resources;
correlating the corresponding patients with the medical account numbers corresponding to the medical resources in the monitoring equipment;
The nursing monitoring equipment performs identity verification on the patient corresponding to the corresponding patient account, and performs nursing monitoring on the corresponding patient according to the identity verification result to acquire nursing monitoring data of the intracardiac branch of academic or vocational study equipment;
The intracardiac branch of academic or vocational study equipment nursing monitoring data comprise five data types including electrocardiogram data, blood pressure monitoring data, heart rate monitoring data, blood oxygen saturation data and respiration monitoring data;
the medical care account number performs identity verification on a patient corresponding to the corresponding patient account number, monitors the corresponding patient according to an identity verification result, and acquires intracardiac record nursing monitoring data;
the intracardiac branch of academic or vocational study record nursing monitoring data comprises medication data and nursing observation records;
the drug treatment data are drug treatment dosage and time data of corresponding cardiology patients;
It should be further noted that, in the specific implementation process, a medical care input window is arranged in the nursing monitoring device, a medical care account associated with a corresponding patient account is verified, a corresponding medical care person is allowed to enter the authority of the medical care input window according to the verification result, the medical care account inputs corresponding cardiology department record nursing monitoring data through the medical care input window, and corresponding record time is marked;
the intracardiac branch of academic or vocational study record nursing monitoring data and intracardiac branch of academic or vocational study equipment nursing monitoring data are sent to a data preprocessing unit;
The nursing pretreatment unit is internally provided with an edge pretreatment node according to corresponding nursing monitoring equipment, and the data information obtained by the nursing monitoring equipment is analyzed and processed according to the edge pretreatment node to obtain pretreatment monitoring data, and the specific implementation process comprises the following steps:
The edge preprocessing node is used for acquiring nursing monitoring data of the intracardiac medical equipment and acquiring equipment nursing monitoring standard intervals corresponding to the nursing monitoring data of the intracardiac medical equipment corresponding to each data type of the intracardiac medical disease type in the auxiliary nursing platform;
The equipment nursing monitoring standard interval is a standard-conforming data range corresponding to the corresponding data type of the corresponding intracardiac medical diseases, and the auxiliary nursing platform performs comprehensive analysis according to the historical intracardiac medical data corresponding to the corresponding intracardiac medical disease type;
respectively carrying out contrast analysis on the obtained intracardiac branch of academic or vocational study equipment nursing monitoring data and corresponding equipment nursing monitoring standard intervals, and obtaining whether the corresponding type of intracardiac branch of academic or vocational study equipment nursing monitoring data accords with the standard according to a contrast analysis result:
If the intracardiac branch of academic or vocational study equipment nursing monitoring data belongs to the equipment nursing monitoring standard interval, the standard is met, and nursing early warning information is not generated;
if the intracardiac branch of academic or vocational study equipment nursing detection data do not belong to the equipment nursing monitoring standard interval, if the standard is not met, nursing early warning information is generated;
and the edge preprocessing node acquires data information obtained by the corresponding nursing monitoring equipment, generates a nursing monitoring data packet and sends the nursing monitoring data packet to a nursing resource analysis module.
The auxiliary nursing monitoring module is used for carrying out integrated analysis according to nursing early warning information and intracardiac branch of academic monitoring data, setting a dynamic adjustment nursing scheme, sending the dynamic adjustment nursing scheme to the nursing data early warning module,
Acquiring intracardiac branch of academic or vocational study monitoring data, presetting a nursing monitoring period, analyzing and processing intracardiac branch of academic or vocational study equipment nursing monitoring data in the intracardiac branch of academic or vocational study monitoring data, and setting an equipment monitoring data change curve corresponding to the corresponding data type according to the unit time corresponding to the nursing monitoring period by data information corresponding to five data types of electrocardiographic data, blood pressure monitoring data, heart rate monitoring data, blood oxygen saturation data and respiration monitoring data;
acquiring a corresponding equipment detection data change standard curve according to an equipment detection data change standard interval corresponding to the type of the intracardiac branch of academic or vocational study;
Converting the time domain data into frequency domain data based on Fourier transformation by using the obtained equipment monitoring data change curve and the equipment detection data change standard curve, respectively obtaining periodic components in the time domain data, and obtaining a monitoring period and a standard period;
Comparing and analyzing the equipment monitoring data change curve obtained in the period with the equipment detection data change standard curve according to the obtained monitoring period and standard period to obtain a comprehensive peak deviation value and a comprehensive valley deviation value;
the obtained comprehensive peak deviation values and comprehensive valley deviation values are weighted and summarized, and the intracardiac function coefficients corresponding to the patient account are obtained;
Analyzing and processing the efficacy of the corresponding medicament according to the intracardiac branch of academic or vocational study record nursing monitoring data and the intracardiac branch of vocational study function coefficient, and acquiring medicament action data according to medicament treatment dosage and time data, wherein the medicament action data is corresponding medicament curative effect data; and integrating the obtained drug action data with a corresponding equipment detection data change standard interval to obtain an equipment detection data change adjustment interval, and integrating equipment detection data change adjustment intervals corresponding to different types of data to obtain a dynamic adjustment nursing scheme.
The nursing data early warning module is used for analyzing and processing the obtained intracardiac branch of academic or vocational study monitoring data according to a dynamic adjustment nursing scheme, feeding back corresponding nursing early warning information and sending the nursing early warning information into a corresponding medical care account, and the specific implementation process comprises the following steps:
The nursing data early warning module acquires nursing monitoring data of the intracardiac branch of academic or vocational study equipment corresponding to the nursing early warning information, analyzes and processes the acquired nursing monitoring data of the intracardiac branch of academic or vocational study equipment and a corresponding equipment detection data change adjustment interval in a dynamic adjustment nursing scheme, if the nursing monitoring data and the equipment detection data change adjustment interval belong to the same, early warning feedback information is generated and sent to corresponding nursing monitoring equipment, and if the nursing monitoring data and the equipment detection data change adjustment interval do not belong to the same, alarm feedback information is generated and sent to the corresponding nursing monitoring equipment and a medical care account number which is correlated with a patient account number.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.
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