Disclosure of Invention
In order to solve the above problems, the present invention provides a method and a system for monitoring patient sign data under hemodialysis, which can monitor patient sign data under psychological states.
In a first aspect, the present invention provides a method for monitoring patient sign data for use under hemodialysis, comprising:
Acquiring a past medical history report of a hemodialysis patient, performing baseline analysis on the hemodialysis patient based on the past medical history report to obtain a baseline analysis result, analyzing the dry weight of the hemodialysis patient based on the baseline analysis result, and calculating a target ultrafiltration amount of the dry weight;
Analyzing personalized factors of the hemodialysis patient in the hemodialysis process, identifying a sign fluctuation mode of the hemodialysis patient in the hemodialysis process based on the personalized factors, and analyzing psychological factors of the patient affecting the sign fluctuation mode;
based on the psychological factors of the patient, carrying out psychological analysis on the hemodialysis patient to obtain psychological analysis results, constructing a personalized intervention mechanism of the psychological analysis results, analyzing the change degree of the personalized intervention mechanism on the physical sign fluctuation mode, and constructing a psychological monitoring system of the hemodialysis patient when the change degree is larger than an expected effect;
Configuring physical sign monitoring equipment of the target ultrafiltration volume, setting an information interconnection interface of the psychological monitoring system and the physical sign monitoring equipment, setting a physical sign abnormality alarm of the hemodialysis patient based on the information interconnection interface, and analyzing emotion fluctuation of the hemodialysis patient in the hemodialysis process;
Based on the emotion fluctuation, the acceptable dynamic interval of the physical sign abnormal alarm is adjusted in real time, an adjustment interval is obtained, and the adjustment interval is used as a physical sign data monitoring result of the hemodialysis patient.
In one possible implementation manner of the first aspect, the performing, based on the past medical history report, a baseline analysis on the hemodialysis patient to obtain a baseline analysis result includes:
based on the past medical history report, performing basic sign measurement on the hemodialysis patient to obtain a basic sign measurement result;
Based on the past medical history report, performing biochemical index measurement on the hemodialysis patient to obtain a biochemical index measurement result;
Analyzing a pre-dialysis physical condition of the hemodialysis patient based on the base sign measurement and the biochemical indicator measurement;
the pre-dialysis physical condition is taken as the baseline analysis result.
In a possible implementation manner of the first aspect, the analyzing the personalized factor of the hemodialysis patient in the hemodialysis process includes:
Analyzing the physical health condition of the hemodialysis patient;
Analyzing a past complication record of the hemodialysis patient based on the physical health condition;
Analyzing a dialysis sufficiency indicator of the hemodialysis patient based on the past complication record;
Based on the dialysis sufficiency index, performing risk analysis on the past complication records to obtain a risk grade;
Taking the risk level as the complication risk index;
and identifying individualization factors of the hemodialysis patient in the hemodialysis process by using the complication risk index.
In one possible implementation manner of the first aspect, the analyzing the dialysis sufficiency indicator of the hemodialysis patient based on the past complications record includes:
Calculating a urea clearance index for the hemodialysis patient based on the past complications record;
Calculating a dialysis clearance for the hemodialysis patient based on the past complication record;
and using the urea removal index and the dialysis removal amount as the dialysis sufficiency index.
In a possible implementation manner of the first aspect, the analyzing the psychological factors of the patient affecting the sign fluctuation mode includes:
Recording patient-doctor communication sentences under a time sequence corresponding to the sign fluctuation mode;
extracting patient psychological characteristics in the patient-doctor communication statement;
calculating a patient psychological probability corresponding to the patient-doctor communication statement based on the patient psychological characteristics;
identifying a patient psychological category corresponding to the patient-doctor communication statement by using the patient psychological probability;
and analyzing the psychological factors of the patient affecting the physical sign fluctuation mode by using the psychological category of the patient.
In a possible implementation manner of the first aspect, the analyzing, by using the psychological category of the patient, psychological factors of the patient that affect the sign fluctuation mode includes:
performing assignment processing on the psychological categories of the patients to obtain assigned psychological categories;
constructing a assigned psychological sequence corresponding to the assigned psychological class under the time sequence corresponding to the physical sign fluctuation mode by using the psychological probability of the patient;
Calculating the correlation between the sign fluctuation mode and the assigned psychological sequence;
And when the correlation is larger than a preset correlation, taking the corresponding target assigned psychology of the correlation in the assigned psychology sequence as the psychological factors of the patient influencing the sign fluctuation mode.
In a possible implementation manner of the first aspect, the setting an information interconnection interface of the psychological monitoring system and the physical sign monitoring device includes:
Collecting monitoring data of the psychological monitoring system and the physical sign monitoring equipment;
carrying out standardization processing on the monitoring data to obtain standardized data;
constructing a data integration system of the standardized data;
based on the data integration system, real-time analyzing associated data of the psychological monitoring system and the physical sign monitoring equipment;
Constructing a visual interface of the associated data;
And taking the visual interface as the information interconnection interface.
In a possible implementation manner of the first aspect, the setting, based on the information interconnection interface, a sign abnormality alarm of the hemodialysis patient includes:
setting a preset threshold value of the hemodialysis patient based on the information interconnection interface;
setting an alarm triggering mode of the preset threshold value;
and determining the abnormal sign alarm of the hemodialysis patient based on the preset threshold and the alarm triggering mode.
In a possible implementation manner of the first aspect, the adjusting, based on the emotion fluctuation, an acceptable dynamic interval of the sign abnormality alarm in real time, to obtain an adjusted interval includes:
Calculating the emotion mean value of the emotion fluctuation;
Calculating an emotion difference value between the emotion fluctuation and the emotion mean value;
When the emotion difference value is the maximum difference value, collecting first target fluctuation corresponding to the maximum difference value from the emotion fluctuation;
Inquiring a first acquisition time when the first target corresponding to the emotion difference value is acquired;
when the emotion difference value is the minimum difference value, acquiring a second target fluctuation corresponding to the minimum difference value from the emotion fluctuation;
inquiring a second acquisition time when the second target corresponding to the emotion difference value is acquired;
Calculating a physical sign difference between the physiological parameter at the first acquisition time and the physiological parameter at the second acquisition time;
Normalizing the sign difference to obtain a normalized sign difference;
And calculating and adjusting an acceptable dynamic interval of the sign abnormality alarm based on the normalized sign difference to obtain an adjustment interval.
In a second aspect, the present invention provides a patient sign data monitoring system for use under hemodialysis, the system comprising:
The ultrafiltration volume calculation module is used for acquiring a past medical history report of a hemodialysis patient, carrying out baseline analysis on the hemodialysis patient based on the past medical history report to obtain a baseline analysis result, analyzing the dry weight of the hemodialysis patient based on the baseline analysis result, and calculating the target ultrafiltration volume of the dry weight;
The factor analysis module is used for analyzing personalized factors of the hemodialysis patient in the hemodialysis process, identifying the sign fluctuation mode of the hemodialysis patient in the hemodialysis process based on the personalized factors and analyzing psychological factors of the patient affecting the sign fluctuation mode;
The system construction module is used for carrying out psychological analysis on the hemodialysis patient based on the psychological factors of the patient to obtain psychological analysis results, constructing a personalized intervention mechanism of the psychological analysis results, analyzing the change degree of the personalized intervention mechanism on the physical sign fluctuation mode, and constructing a psychological monitoring system of the hemodialysis patient when the change degree is larger than an expected effect;
The emotion analysis module is used for configuring the sign monitoring equipment of the target ultrafiltration volume, setting an information interconnection interface of the psychological monitoring system and the sign monitoring equipment, setting a sign abnormality alarm of the hemodialysis patient based on the information interconnection interface, and analyzing emotion fluctuation of the hemodialysis patient in the hemodialysis process;
And the interval adjusting module is used for adjusting the acceptable dynamic interval of the physical sign abnormal alarm in real time based on the emotion fluctuation to obtain an adjusting interval, and taking the adjusting interval as a physical sign data monitoring result of the hemodialysis patient.
Compared with the prior art, the technical principle and beneficial effect of this scheme lie in:
The embodiment of the invention can help doctors to make personalized treatment schemes by acquiring the past medical history report of hemodialysis patients, further, the embodiment of the invention can identify abnormal conditions of patients and reduce risks of complications by carrying out baseline analysis on the hemodialysis patients based on the past medical history report, further, the embodiment of the invention can improve the safety of the dialysis process and reduce the complications of dialysis by analyzing the dry weight of the hemodialysis patients based on the baseline analysis result, further, the embodiment of the invention can ensure that the hemodialysis process of the patients can be effectively carried out and reduce the risks caused by physical discomfort of the patients by calculating the target ultrafiltration volume of the dry weight, the accuracy of patient sign monitoring data can be improved, further, the embodiment of the invention can provide basis for making personalized treatment schemes of patients by identifying sign fluctuation modes of the hemodialysis patients in the hemodialysis process based on the personalized factors, further, the embodiment of the invention can help the patients to better adapt to the hemodialysis process by analyzing the psychological factors of the patients influencing the sign fluctuation modes, the embodiment of the invention can obtain psychological analysis results by carrying out psychological analysis on the hemodialysis patients based on the psychological factors of the patients, can help the patients to identify psychological disorders in the hemodialysis process, further, the embodiment of the invention can enhance the participation degree of the patients by constructing personalized intervention mechanisms of the psychological analysis results, by analyzing the change degree of the personalized intervention mechanism on the physical sign fluctuation mode, the physical sign of a patient can be better controlled, physical sign fluctuation caused by psychological factors is reduced, further, the embodiment of the invention can improve the overall dialysis experience of the patient and improve physical sign data monitoring quality by constructing a psychological monitoring system of the hemodialysis patient when the change degree is larger than an expected effect, further, the embodiment of the invention can reduce the risk of abnormal physical sign occurrence of the patient in the hemodialysis process by configuring physical sign monitoring equipment of the target ultrafiltration quantity, further, the embodiment of the invention can monitor psychological change of the patient in the physical sign data monitoring process in real time by constructing an information interconnection interface of the psychological monitoring system and the physical sign monitoring equipment, improve the measurement precision of physical sign data, further, the embodiment of the invention can timely discover and process abnormal conditions of the patient by setting physical sign abnormality of the hemodialysis patient based on the information interconnection interface, and further, can prevent the occurrence of abnormal physical sign occurrence of the patient in the hemodialysis process by analyzing the physical sign monitoring equipment, and can receive the alarm sensitivity of the abnormal physical sign in the hemodialysis process based on the alarm, and can adjust the alarm sensitivity of the abnormal physical sign in the hemodialysis process in real time. therefore, the method and the system for monitoring the patient sign data applied to hemodialysis provided by the embodiment of the invention can monitor the patient sign data in psychological states.
Detailed Description
It should be understood that the detailed description is presented by way of example only and is not intended to limit the invention.
The embodiment of the invention provides a patient sign data monitoring method applied to hemodialysis, and an execution main body of the patient sign data monitoring method applied to hemodialysis comprises, but is not limited to, at least one of a server side, a terminal and the like which can be configured to execute the method provided by the embodiment of the invention. In other words, the patient sign data monitoring method applied to hemodialysis can be performed by software or hardware installed in a terminal device or a server device, and the software can be a blockchain platform. The server side comprises, but is not limited to, a single server, a server cluster, a cloud server or a cloud server cluster and the like. The server may be an independent server, or may be a cloud server that provides cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDN), and basic cloud computing services such as big data and artificial intelligence platforms.
Referring to fig. 1, a flow chart of a method for monitoring patient sign data under hemodialysis according to an embodiment of the invention is shown. The patient sign data monitoring method applied to hemodialysis depicted in fig. 1 comprises the following steps:
S1, acquiring a past medical history report of a hemodialysis patient, carrying out baseline analysis on the hemodialysis patient based on the past medical history report to obtain a baseline analysis result, analyzing the dry weight of the hemodialysis patient based on the baseline analysis result, and calculating the target ultrafiltration volume of the dry weight.
The embodiment of the invention can help doctors to make personalized treatment schemes by acquiring the past medical history report of hemodialysis patients, wherein the past medical history report refers to diseases, health problems, operation experiences and any related medical reports which are once affected by a person in the past, and can be acquired through historical medical diagnosis records.
Furthermore, according to the embodiment of the invention, the patient is subjected to baseline analysis based on the past medical history report to obtain a baseline analysis result, so that the abnormal condition of the patient can be identified, the risk of complications is reduced, and the baseline analysis result refers to an initial examination report obtained by examining the health condition of the patient before hemodialysis.
As one embodiment of the invention, the method for analyzing the base line of the hemodialysis patient based on the past medical history report to obtain a base line analysis result comprises the steps of performing basic physical sign measurement on the hemodialysis patient based on the past medical history report to obtain a basic physical sign measurement result, performing biochemical index measurement on the hemodialysis patient based on the past medical history report to obtain a biochemical index measurement result, analyzing the pre-dialysis physical condition of the hemodialysis patient based on the basic physical sign measurement result and the biochemical index measurement result, and taking the pre-dialysis physical condition as the base line analysis result.
The basic physical sign measurement result refers to measurement data of a series of basic physical indexes before hemodialysis of the hemodialysis patient, including weight, blood pressure, respiratory frequency and the like, the biochemical index measurement result refers to data about the chemical substance level in a human body, including blood, urine, glycoprotein and the like, obtained through laboratory tests, and the pre-dialysis physical condition refers to the physical condition of the patient before the dialysis treatment is started.
Optionally, the performing basic physical sign measurement on the hemodialysis patient based on the past medical history report may be obtained by a physiological physical sign measuring instrument, and the performing biochemical index measurement on the hemodialysis patient based on the past medical history report may be implemented by laboratory examination.
Further, according to the embodiment of the invention, the safety of the dialysis process can be improved and the dialysis complications can be reduced by analyzing the dry weight of the hemodialysis patient based on the baseline analysis result, wherein the dry weight refers to the ideal weight of the patient without edema and body fluid overload, and the dry weight can be obtained through bioelectrical impedance analysis.
Furthermore, the target ultrafiltration volume of the dry body weight can be calculated, so that the hemodialysis process of a patient can be effectively performed, the risk of the patient caused by discomfort of the body is reduced, and the target ultrafiltration volume is the volume of liquid which needs to be removed from the patient in the dialysis process and can be obtained through the difference value between the current body weight and the dry body weight of the patient.
S2, analyzing personalized factors of the hemodialysis patient in the hemodialysis process, identifying physical sign fluctuation modes of the hemodialysis patient in the hemodialysis process based on the personalized factors, and analyzing psychological factors of the patient affecting the physical sign fluctuation modes.
According to the embodiment of the invention, the accuracy of patient sign monitoring data can be improved by analyzing the personalized factors of the hemodialysis patient in the hemodialysis process, wherein the personalized factors refer to the complication factors affecting the hemodialysis of the patient, and the complication factors comprise physiological complication factors and pathological complication factors.
As one embodiment of the invention, analyzing the individuation factors of the hemodialysis patient in the hemodialysis process comprises analyzing the physical health condition of the hemodialysis patient, analyzing the past complication records of the hemodialysis patient based on the physical health condition, analyzing the dialysis sufficiency index of the hemodialysis patient based on the past complication records, performing risk analysis on the past complication records based on the dialysis sufficiency index to obtain a risk grade, taking the risk grade as the complication risk index, and identifying the individuation factors of the hemodialysis patient in the hemodialysis process by utilizing the complication risk index.
The physical health condition refers to physical health condition indexes of a patient, including cardiac function indexes and residual kidney function indexes, the past complication records refer to detailed records of complications of the patient in the past in the medical process, the dialysis sufficiency index refers to a series of parameters for analyzing whether hemodialysis treatment achieves an expected effect or not, the parameters include urea clearance index (Kt/V), beta 2-microglobulin (beta 2-MG) clearance rate and the like, and the risk grade refers to a grade after quantifying and classifying the possibility of health problems or adverse events possibly encountered by the patient in a specific time.
Alternatively, the analysis of the physical health condition of the hemodialysis patient may be obtained by both a past medical history report and a basic physical sign check of the hemodialysis patient.
As yet another embodiment of the present invention, the analyzing the hemodialysis patient's dialysis adequacy indicator based on the past complication record includes calculating the hemodialysis patient's urea removal index based on the past complication record using the following formula:
Wherein,Indicating urea removal index, V indicating urea distribution volume, Kti indicating urea removal amount of the ith dialysis in the previous complication record, and n indicating dialysis number;
Based on the past complication records, the dialysis clearance of the hemodialysis patient is calculated using the following formula:
Wherein Kt represents the dialysis clearance,Indicating urea removal for the ith dialysis in the past complication record, n indicating the number of dialysis;
and using the urea removal index and the dialysis removal amount as the dialysis sufficiency index.
Wherein the urea removal index is a statistical parameter based on the urea kinetics system for analyzing the adequacy of dialysis, and the dialysis removal amount is the ability of the dialyzer to remove a solute per unit time.
Optionally, the risk analysis is performed on the past complication record based on the dialysis sufficiency index to obtain a risk level, which may be implemented by using a DOPPS scoring system.
Furthermore, the embodiment of the invention can provide basis for formulating the personalized treatment scheme of the patient by identifying the physical sign fluctuation mode of the hemodialysis patient in the hemodialysis process based on the personalized factors, wherein the physical sign fluctuation mode refers to the rule or mode that the physiological index of a certain individual changes along with time in a period of time, such as blood pressure, heart rate, blood oxygen saturation and the like.
As one embodiment of the invention, the identification of the sign fluctuation mode of the hemodialysis patient in the hemodialysis process based on the personalized factors comprises the steps of analyzing the component elements of the personalized factors, analyzing the whole-course monitoring data of the component elements in the hemodialysis process, and constructing a trend chart of the whole-course monitoring data to obtain the sign fluctuation mode.
The components refer to components of personalized factors of the hemodialysis patient, the whole-process monitoring data refer to observation data of signs of the hemodialysis patient before, during and after dialysis, and the trend graph refers to a change trend graph representing the sign data of the patient with time.
Optionally, the analyzing the component elements of the personalized factor may be implemented by using clinical analysis, the analyzing the whole-course monitoring data of the component elements in the hemodialysis process may be obtained through an examination record of a patient, the trend graph of the whole-course monitoring data is constructed, the sign fluctuation mode is obtained, and the sign fluctuation mode may be obtained through a line graph.
Furthermore, the embodiment of the invention can help the patient to better adapt to the hemodialysis process by analyzing the psychological factors of the patient affecting the physical and psychological health and disease management of the patient, and the psychological factors of the patient can be obtained by carrying out psychological analysis on the patient.
In one embodiment of the invention, the analyzing the psychological factors of the patient affecting the sign fluctuation mode comprises recording the patient-doctor communication statement under the time sequence corresponding to the sign fluctuation mode, extracting the psychological characteristics of the patient in the patient-doctor communication statement by using the following formula:
zl＝ADAPTER((BERT(xi,yj))⊕zl-1)
z=Tanh(((BERT(xi,yj))⊕zl)w+b)
Where z represents a psychological characteristic of the patient, zl represents a hidden characteristic extracted by ADAPTER and BERT, zl-1 represents a hidden characteristic extracted by the previous layer, l represents a layer number of ADAPTER, BERT represents a natural language processing model based on deep learning, ADAPTER represents an adaptive structure of a transducer, z0 represents an initial state of zl-1 composed of 0, xi represents an i-th communication object including the patient and doctor, yj represents a j-th patient-doctor communication sentence of xi, w represents a weight parameter, and b represents a bias parameter;
Based on the patient psychological characteristics, calculating a patient psychological probability corresponding to the patient-doctor communication statement by using the following formula:
p=Softmax(w′(z+BERT(yj)))
Wherein p represents the psychological probability of the patient, w' represents the weight parameter when the psychological probability of the patient is calculated, yj represents the j-th sentence patient-doctor communication sentence of xi, BERT represents the natural language processing model based on deep learning, z represents the psychological characteristics of the patient, and Softmax represents the activation function;
And analyzing the psychological factors of the patient affecting the physical sign fluctuation mode by utilizing the psychological categories of the patient.
In yet another embodiment of the present invention, the analyzing the psychological factors of the patient affecting the physical sign fluctuation mode by using the psychological category of the patient includes performing an assignment process on the psychological category of the patient to obtain an assigned psychological category, constructing an assigned psychological sequence corresponding to the assigned psychological category under a time sequence corresponding to the physical sign fluctuation mode by using the psychological probability of the patient, and calculating a correlation between the physical sign fluctuation mode and the assigned psychological sequence by using the following formula:
wherein ρX,Y represents the correlation, cov (X, Y) represents the covariance matrix between the sign fluctuation mode and the assigned psychological sequence, σX represents the variance of the global monitoring data in the sign fluctuation mode, σY represents the variance of the assigned psychological sequence, μX represents the mean value of the global monitoring data in the sign fluctuation mode, X represents the global monitoring data in the sign fluctuation mode, μY represents the mean value of the assigned psychological sequence, Y represents the assigned psychological sequence, E represents the desire;
And when the correlation is larger than a preset correlation, taking the corresponding target assigned psychology of the correlation in the assigned psychology sequence as the psychological factors of the patient influencing the sign fluctuation mode.
The assigned psychological sequence refers to a sequence of time-varying psychological probabilities of the patient corresponding to the psychological states of each category, for example, a sequence of time-varying psychological probabilities of the patient corresponding to stress.
Optionally, the process of assigning the mental class of the patient, and obtaining the assigned mental class, represents the mental class of the patient by a numerical value, for example, the mental class of the patient includes stress, excitement, fear and excitement, and uses 1, 2,3 and 4 to represent stress, excitement, fear and excitement respectively.
S3, performing psychological analysis on the hemodialysis patient based on the psychological factors of the patient to obtain a psychological analysis result, constructing a personalized intervention mechanism of the psychological analysis result, analyzing the change degree of the personalized intervention mechanism on the physical sign fluctuation mode, and constructing a psychological monitoring system of the hemodialysis patient when the change degree is larger than an expected effect.
According to the embodiment of the invention, psychological analysis is carried out on the hemodialysis patient based on the psychological factors of the patient to obtain the psychological analysis result, so that the patient can be helped to identify psychological disorders in the hemodialysis process, and the psychological analysis result refers to a conclusion obtained by measuring, analyzing and explaining the psychological state, psychological characteristics or psychological problems of the patient through a psychological analysis tool or method.
Optionally, the psychological analysis is performed on the hemodialysis patient based on the psychological factors of the patient, so as to obtain psychological analysis results, and the psychological analysis results can be obtained through standardized psychological scales, such as hamilton anxiety scale (HAMA) and beck depression scale (BDI).
Furthermore, the embodiment of the invention can enhance the participation of the patient and actively cooperate with the dialysis work by constructing the personalized intervention mechanism of the psychological analysis result, and the personalized intervention mechanism designs and implements a series of psychological support measures according to the specific situation and the requirement of the individual.
The personalized intervention mechanism for constructing the psychological analysis result comprises the steps of obtaining the evoked factors of the psychological analysis result, exciting the internal motivation of the preset individual to change the behavior based on the evoked factors, and constructing the personalized intervention mechanism based on the internal motivation.
Wherein the evoked factors are responsible for psychological problems in the patient, and the intrinsic motivation is the driving force of the individual to perform a certain activity or behavior by being pushed by the mind.
Alternatively, the analysis of the evoked factors of the psychological analysis results may be obtained by interviewing the patient, and the intrinsic motivation for triggering a preset individual to undergo a behavioral change based on the evoked factors may be achieved using cognitive behavioral therapy.
Furthermore, the embodiment of the invention can enable the patient to better control the sign and reduce the sign fluctuation caused by psychological factors by analyzing the change degree of the personalized intervention mechanism on the sign fluctuation mode, wherein the change degree refers to the degree of a certain state to be changed from one state to another state.
Alternatively, the analysis of the extent of change of the personalized intervention mechanism to the sign fluctuation mode may be obtained by a random control experiment.
Furthermore, when the change degree is greater than the expected effect, the psychological monitoring system of the hemodialysis patient is constructed, so that the overall dialysis experience of the patient can be improved, and the physical sign data monitoring quality can be improved.
The method for constructing the psychological monitoring system of the hemodialysis patient comprises the steps of constructing an emotion detection device of the hemodialysis patient, collecting emotion categories of the hemodialysis patient based on the emotion detection device, analyzing psychological health states of the hemodialysis patient based on the emotion categories, constructing an output mechanism of the psychological health states, and constructing the psychological monitoring system under the output mechanism.
The emotion detection device is used for identifying and analyzing emotion states by analyzing physiological signals, behavioral characteristics or voice patterns of an individual, emotion categories are used for classifying emotion according to different dimensions, psychological health states are used for psychological states of patients under different emotion categories, and the output mechanism is used for outputting psychological behavior results.
Optionally, the constructing the emotion detection device of the hemodialysis patient may be implemented by using an emotion detector, based on the emotion detection device, the collecting of the emotion type of the hemodialysis patient may be obtained by using a sensor built in the emotion detector, and the constructing the psychological monitoring system under the output mechanism means that the output result under the output mechanism is monitored by using a professional monitoring instrument.
S4, configuring physical sign monitoring equipment of the target ultrafiltration volume, setting an information interconnection interface of the psychological monitoring system and the physical sign monitoring equipment, setting physical sign abnormality alarm of the hemodialysis patient based on the information interconnection interface, and analyzing emotion fluctuation of the hemodialysis patient in the hemodialysis process.
The embodiment of the invention can reduce the risk of abnormal patient sign occurrence in the hemodialysis process by configuring the sign monitoring equipment of the target ultrafiltration volume, wherein the sign monitoring equipment refers to an instrument for monitoring the change of patient sign data, such as an oximeter and a sphygmomanometer.
Alternatively, the sign monitoring device configured with the target ultrafiltration volume may be acquired by a dialysis machine.
Furthermore, the embodiment of the invention can monitor the psychological change of the patient in the physical sign data monitoring process in real time by constructing the information interconnection interface of the psychological monitoring system and the physical sign monitoring equipment, and improves the measurement accuracy of the physical sign data, wherein the information interconnection interface is a display platform capable of displaying the physical sign monitoring data and the psychological state of the patient at the same time.
The method comprises the steps of collecting monitoring data of the psychological monitoring system and the physical sign monitoring equipment, carrying out standardized processing on the monitoring data to obtain standardized data, constructing a data integration system of the standardized data, analyzing associated data of the psychological monitoring system and the physical sign monitoring equipment in real time based on the data integration system, constructing a visual interface of the associated data, and taking the visual interface as the information interconnection interface.
The monitoring data refers to output data of the psychological monitoring system and the physical sign monitoring equipment, the standardized data refers to data of different equipment converted into standard format, the data integration system refers to a data integration platform capable of integrating the psychological monitoring system and the physical sign monitoring equipment together, the associated data refers to associated data between the psychological monitoring system and the physical sign monitoring equipment, and the visual interface refers to a screen display interface which is interacted with a user through graphic elements such as windows, icons, menus, buttons and the like.
Optionally, the collecting the monitoring data of the psychological monitoring system and the physical sign monitoring device may be obtained through the monitoring device, the normalizing processing is performed on the monitoring data to obtain normalized data, and the normalized data may be implemented by RobustScaler, the constructing the data integration system of the normalized data may be obtained through API integration, and the real-time analyzing the associated data of the psychological monitoring system and the physical sign monitoring device based on the data integration system may be implemented through a machine learning algorithm.
Furthermore, according to the embodiment of the invention, the abnormal condition of the patient can be timely found and processed by setting the abnormal sign alarm of the hemodialysis patient based on the information interconnection interface, wherein the abnormal sign alarm is used for monitoring abnormal physiological parameters of the patient and setting the alarm.
The method for setting the abnormal sign alarm of the hemodialysis patient based on the information interconnection interface comprises the steps of setting a preset threshold value of the hemodialysis patient based on the information interconnection interface, setting an alarm triggering mode of the preset threshold value, and determining the abnormal sign alarm of the hemodialysis patient based on the preset threshold value and the alarm triggering mode.
The preset threshold value refers to a normal threshold value of each sign parameter of a patient preset on the dialysis machine, and the alarm triggering mode refers to a mechanism that an alarm system is activated and sends out an alarm signal.
Optionally, the setting the preset threshold of the hemodialysis patient based on the information interconnection interface may be obtained by analyzing the physical condition of the patient.
In one embodiment of the invention, the alarm triggering mode for setting the preset threshold value comprises the steps of analyzing the abnormal sign level of the hemodialysis patient, configuring a notification mode corresponding to the abnormal sign level, defining emergency sign attributes of the hemodialysis patient based on the abnormal sign level, setting an emergency sign threshold value of the emergency sign attributes, setting an emergency list of the notification mode based on the emergency sign threshold value, and setting the alarm triggering mode for the preset threshold value based on the emergency list.
Wherein the abnormal levels of the vital signs refer to the levels classified according to the abnormal degree of the vital signs, the notification means refer to means and methods for communicating information, messages or alarms, the emergency list refers to a list of abnormal treatments of the vital signs requiring rapid intervention in some emergency situations, the emergency vital sign attribute refers to a vital sign category which may directly threaten the vital safety of a patient in hemodialysis and requires immediate action, and the emergency vital sign threshold refers to an alert threshold which designates that the vital signs are involved in serious danger.
Optionally, the analysis of the abnormal sign level of the hemodialysis patient may be implemented by using a symptom analysis scale, and the notification mode corresponding to the abnormal sign level may be configured and acquired by an acoustic alarm.
Optionally, the emergency sign attribute of the hemodialysis patient is defined based on the sign abnormality level, the emergency sign attribute may be obtained through a physical reaction of the patient in the monitoring process, and the setting of the emergency sign threshold of the emergency sign attribute may be implemented by using a risk value system of a medical system.
Furthermore, according to the embodiment of the invention, psychological diseases of the patient can be prevented by analyzing the affective fluctuation of the hemodialysis patient in the hemodialysis process, so that the dialysis effect is affected, wherein the affective fluctuation refers to changes of the patient in the aspects of psychological state, emotional response, cognitive mode, behavior and the like.
Alternatively, the analysis of the emotional fluctuations of the hemodialysis patient during hemodialysis may be obtained by the patient's performance during dialysis.
And S5, based on the emotion fluctuation, adjusting an acceptable dynamic interval of the physical sign abnormality alarm in real time to obtain an adjustment interval, and taking the adjustment interval as a physical sign data monitoring result of the hemodialysis patient.
According to the embodiment of the invention, the sensitivity of the abnormal sign alarm can be balanced and unnecessary alarms are reduced by adjusting the acceptable dynamic interval of the abnormal sign alarm in real time based on the emotion fluctuation, wherein the acceptable dynamic interval refers to the fluctuation range of the physiological parameters allowed by the system in the process of continuously monitoring the vital sign of a patient.
According to one embodiment of the invention, the method for adjusting the acceptable dynamic interval of the abnormal sign alarm in real time based on the emotion fluctuation comprises the steps of calculating an emotion mean value of the emotion fluctuation, calculating an emotion difference value between the emotion fluctuation and the emotion mean value, collecting a first target fluctuation corresponding to the maximum difference value from the emotion fluctuation when the emotion difference value is the maximum difference value, inquiring a first collecting time when the first target fluctuation corresponding to the emotion difference value is collected, collecting a second target fluctuation corresponding to the minimum difference value from the emotion fluctuation when the emotion difference value is the minimum difference value, inquiring a second collecting time when the second target fluctuation corresponding to the emotion difference value is collected, calculating a sign difference between a physiological parameter at the first collecting time and a physiological parameter at the second collecting time, normalizing the sign difference to obtain a normalized sign, and calculating the acceptable dynamic interval of the abnormal sign alarm based on the normalized sign difference value by the following formula:
a′=a+Δe
b′=b-Δe
Wherein [ a ', b' ] represents the adjustment interval, [ a, b ] represents the acceptable dynamic interval, and Δe represents the normalized sign difference.
The physiological parameters can be acquired by using an examination report of a patient, and the sign difference refers to the difference of the physiological parameters between sampling moments.
It can be seen that, according to the embodiment of the present invention, the doctor can be assisted in making a personalized treatment plan by acquiring the past medical history report of the hemodialysis patient, further, according to the embodiment of the present invention, by analyzing the personalized factors of the hemodialysis patient in the hemodialysis process based on the past medical history report, a baseline analysis result is obtained, abnormal conditions of the patient can be identified, risks of complications are reduced, further, according to the baseline analysis result, dry weight of the hemodialysis patient is analyzed, safety of the dialysis process can be improved, dialysis complications are reduced, further, according to the embodiment of the present invention, a target ultrafiltration amount of the dry weight is calculated, the hemodialysis process of the patient can be effectively performed, risks of the patient due to physical discomfort are reduced, accuracy of patient physical sign monitoring data can be improved, further, according to the personalized factors, a physical sign mode of the hemodialysis patient in the hemodialysis process can be identified, psychological wave analysis of the patient can be improved, psychological wave analysis of the patient can be performed based on the psychological wave analysis result of the patient can be further, psychological wave analysis of the invention, psychological wave analysis of the patient can be performed according to the psychological wave analysis result of the patient can be improved, psychological wave analysis of the patient can be performed, the psychological wave analysis of the patient can be performed according to the psychological wave analysis result of the patient is better, the psychological wave analysis result of the patient can be improved, the psychological wave of the hemodialysis condition of the hemodialysis patient in the hemodialysis process can be performed, by analyzing the change degree of the personalized intervention mechanism on the physical sign fluctuation mode, the physical sign of a patient can be better controlled, physical sign fluctuation caused by psychological factors is reduced, further, the embodiment of the invention can improve the overall dialysis experience of the patient and improve physical sign data monitoring quality by constructing a psychological monitoring system of the hemodialysis patient when the change degree is larger than an expected effect, further, the embodiment of the invention can reduce the risk of abnormal physical sign occurrence of the patient in the hemodialysis process by configuring physical sign monitoring equipment of the target ultrafiltration quantity, further, the embodiment of the invention can monitor psychological change of the patient in the physical sign data monitoring process in real time by constructing an information interconnection interface of the psychological monitoring system and the physical sign monitoring equipment, improve the measurement precision of physical sign data, further, the embodiment of the invention can timely discover and process abnormal conditions of the patient by setting physical sign abnormality of the hemodialysis patient based on the information interconnection interface, and further, can prevent the occurrence of abnormal physical sign occurrence of the patient in the hemodialysis process by analyzing the physical sign monitoring equipment, and can receive the alarm sensitivity of the abnormal physical sign in the hemodialysis process based on the alarm, and can adjust the alarm sensitivity of the abnormal physical sign in the hemodialysis process in real time. therefore, the method and the system for monitoring the patient sign data applied to hemodialysis provided by the embodiment of the invention can monitor the patient sign data in psychological states.
As shown in fig. 2, the invention is applied to a functional block diagram of a patient sign data monitoring system under hemodialysis.
The patient sign data monitoring system 200 of the present invention for hemodialysis may be installed in an electronic device. Depending on the functions implemented, the patient sign data monitoring system applied under hemodialysis may include an ultrafiltration calculation module 201, a factor analysis module 202, a system construction module 203, an emotion analysis module 204, and an interval adjustment module 205. The module of the invention, which may also be referred to as a unit, refers to a series of computer program segments, which are stored in the memory of the electronic device, capable of being executed by the processor of the electronic device and of performing a fixed function.
In the embodiment of the present invention, the functions of each module/unit are as follows:
The ultrafiltration volume calculation module 201 is configured to obtain a past medical history report of a hemodialysis patient, perform a baseline analysis on the hemodialysis patient based on the past medical history report, obtain a baseline analysis result, analyze a dry weight of the hemodialysis patient based on the baseline analysis result, and calculate a target ultrafiltration volume of the dry weight;
The factor analysis module 202 is configured to analyze personalized factors of the hemodialysis patient during hemodialysis, identify a sign fluctuation mode of the hemodialysis patient during hemodialysis based on the personalized factors, and analyze psychological factors of the patient affecting the sign fluctuation mode;
the system construction module 203 is configured to perform psychological analysis on the hemodialysis patient based on the psychological factors of the patient, obtain a psychological analysis result, construct a personalized intervention mechanism of the psychological analysis result, and analyze a change degree of the personalized intervention mechanism on the physical sign fluctuation mode, and construct a psychological monitoring system of the hemodialysis patient when the change degree is greater than an expected effect;
The emotion analysis module 204 is configured to configure the sign monitoring device of the target ultrafiltration volume, set an information interconnection interface between the psychological monitoring system and the sign monitoring device, set an abnormal sign alarm of the hemodialysis patient based on the information interconnection interface, and analyze emotion fluctuation of the hemodialysis patient in the hemodialysis process;
the interval adjustment module 205 is configured to adjust, in real time, an acceptable dynamic interval of the abnormal sign alarm based on the emotion fluctuation, obtain an adjustment interval, and use the adjustment interval as a sign data monitoring result of the hemodialysis patient.
In detail, the modules in the patient sign data monitoring system 200 for hemodialysis according to the embodiment of the present invention use the same technical means as the method for monitoring patient sign data for hemodialysis described in fig. 1, and can produce the same technical effects, which are not described herein.
In addition, each functional module in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units can be realized in a form of hardware or a form of hardware and a form of software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof.
The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
It should be noted that in this document, relational terms such as "first" and "second" and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, 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 one does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises an element.
The foregoing is only a specific embodiment of the invention to enable those skilled in the art to understand or practice the 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.