Hepatic artery perfusion postoperative nursing monitoring information management method and system

Abstract

The invention discloses a hepatic arterial perfusion postoperative nursing monitoring information management method and system, and relates to the technical field of postoperative monitoring information management, and the method comprises the following steps: carrying out the real-time monitoring of the vital signs of a patient; the vital signs of the patient are recorded, and the change trend of the vital signs along with time is analyzed; whether the change of the vital signs has an abnormal risk is analyzed based on the change trend, if yes, early warning information is sent to a management center, and a nurse is notified to go for observation; monitoring liver function indexes, and regularly checking whether the liver function indexes of the patient are abnormal or not; the method is used for solving the problem that the treatment opportunity of a patient is delayed due to the fact that an existing postoperative monitoring information management technology lacks early warning and has insufficient early warning analysis before the patient is abnormal.

Description

Technical Field

[0001] The present invention relates to the technical field of postoperative monitoring information management, and in particular to a method and system for managing nursing monitoring information after hepatic artery perfusion. Background Art

[0002] Postoperative monitoring information management technology refers to methods and tools that use information technology and information management principles to effectively collect, store, analyze and transmit postoperative patient monitoring data and related information. These technologies may include electronic health record systems, remote monitoring equipment, and data analysis software, etc., aiming to improve the efficiency and accuracy of medical institutions' monitoring of postoperative patients, thereby improving patients' treatment outcomes and improving the quality of medical services. Through postoperative monitoring information management technology, medical staff can monitor patients' physiological parameters and symptom changes in real time, identify problems in a timely manner and take measures to provide more personalized and accurate care and treatment plans.

[0003] Existing postoperative monitoring information management technology usually determines whether the patient's vital signs exceed the normal range through a preset threshold value, and then urgently calls doctors and nurses to deal with it after the vital signs exceed the normal range. However, there are certain regularities in the changes of the patient's vital signs. The trend or change of the patient's vital signs can be predicted in advance through the change pattern, thereby achieving the purpose of early warning. After early warning, it can be ensured that the patient can receive timely treatment when the vital signs are abnormal. For example, in the patent application with publication number CN117954026A, a "management system and method for monitoring and early warning of bladder cancer postoperative patients based on PROs" is disclosed. This solution monitors and compares various data in PROs through preset thresholds to determine whether the patient is abnormal. This solution can only provide emergency treatment after the patient becomes abnormal, but cannot provide early warning before the patient becomes abnormal, wasting precious treatment time. The existing postoperative monitoring information management technology also has the problem of not being able to provide early warning before the patient becomes abnormal, resulting in easy waste of precious treatment time for patients. Summary of the invention

[0004] The present invention aims to solve one of the technical problems in the prior art to at least a certain extent, by monitoring the patient's vital signs in real time, recording the patient's vital signs and analyzing the changing trends of the vital signs over time, then analyzing the demarcation values ​​between normal and abnormal changes in the vital signs through historical changing trends, and then analyzing the changing trends monitored in real time through the demarcation values ​​to determine whether there is an abnormal risk in the changes in the vital signs. When there is an abnormal risk in the changes in the vital signs, an early warning message is sent to the management center to notify the nurse to go for observation, and at the same time monitor the liver function indicators, and regularly check whether the patient's liver function indicators are abnormal, so as to solve the problem that the existing postoperative monitoring information management technology lacks early warning, and the early warning analysis before the patient becomes abnormal is insufficient, resulting in delayed treatment timing for the patient.

[0005] To achieve the above objectives, in a first aspect, the present application provides a method for managing nursing monitoring information after hepatic artery perfusion surgery, comprising the following steps:

[0006] Real-time monitoring of patients’ vital signs;

[0007] Record patients' vital signs and analyze their trends over time;

[0008] Analyze whether there is an abnormal risk in the changes of vital signs based on the change trend. If there is, send an early warning message to the management center to notify the nurse to go for observation;

[0009] Monitor liver function indicators and regularly check whether the patient's liver function indicators are abnormal.

[0010] Furthermore, the vital signs include blood pressure, heart rate and body temperature.

[0011] Furthermore, recording the patient's vital signs and analyzing the changing trends of the vital signs over time include the following sub-steps:

[0012] When recording vital signs, the current time is recorded synchronously and marked as the recording time;

[0013] Establish a database of vital signs changes to store recording time and vital signs;

[0014] A plane rectangular coordinate system is established with the recording time as the X-axis and the vital signs as the Y-axis, named the vital signs change coordinate system, and the recording time and the corresponding vital signs are entered into the vital signs change coordinate system;

[0015] Perform linear regression on the physical sign change coordinate system to obtain the physical sign change function, and obtain the slope of the physical sign change function, which is named the physical sign change slope;

[0016] Name the coordinate points in the physical sign change coordinate system as physical sign change points, find the physical sign change points with the smallest Y value and the largest Y value, and name them as the minimum physical sign point and the maximum physical sign point respectively;

[0017] Connect the minimum sign point and the maximum sign point with a straight line to obtain a sign difference straight line, and obtain the slope of the sign difference straight line, which is named the sign difference slope;

[0018] The slope of the physical sign change and the slope of the physical sign difference are the change trend.

[0019] Further, analyzing whether there is an abnormal risk in the change of vital signs based on the change trend includes the following sub-steps:

[0020] Analyze the demarcation value between normal and abnormal changes in vital signs through historical change trends;

[0021] Analyze the change trend monitored in real time through the cutoff value to determine whether there is an abnormal risk in the change of vital signs;

[0022] When there is an abnormal risk in the changes of vital signs, an early warning message is sent to the management center to notify the nurse to go for observation.

[0023] Furthermore, analyzing the demarcation value between normal and abnormal changes of vital signs through historical change trends includes the following sub-steps:

[0024] The feature change database includes a feature change table for each user, and a normal change table and an abnormal change table are marked in the feature change database. The normal change table is a life feature in which all life features in the feature change table are normal, and the abnormal change table is a life feature in which there are abnormal life features in the feature change table;

[0025] Analyze and calculate the change trend of the normal change table, named as the normal trend, which includes the normal change slope and the normal difference slope; analyze and calculate the change trend of the abnormal change table, named as the abnormal trend, which includes the abnormal change slope and the abnormal difference slope;

[0026] Count the range of normal and abnormal trends, and determine whether the changing trend of the patient's vital signs is abnormal.

[0027] Furthermore, counting the range of normal trends and abnormal trends and determining whether the trend of changes in the patient's vital signs is abnormal includes the following sub-steps:

[0028] The range of the normal change slope is counted and named as the normal change range, and the minimum value and the maximum value of the normal change range are marked as the normal minimum change and the normal maximum change respectively; the range of the normal difference slope is counted and named as the normal difference range, and the minimum value and the maximum value of the normal difference range are marked as the normal minimum difference and the normal maximum difference respectively;

[0029] The range of the statistical abnormal change slope is named as the abnormal change range, and the minimum value greater than zero and the maximum value less than zero in the abnormal change range are marked as the abnormal minimum change and the abnormal maximum change respectively; the range of the statistical abnormal difference slope is named as the abnormal difference range, and the minimum value greater than zero and the maximum value less than zero in the abnormal difference range are marked as the abnormal minimum difference and the abnormal maximum difference respectively;

[0030] Calculate the average value of the normal maximum change and the abnormal minimum change, and name it the positive change cutoff value; calculate the average value of the normal minimum change and the abnormal maximum change, and name it the negative change cutoff value; calculate the average value of the normal maximum difference and the abnormal minimum difference, and name it the positive difference cutoff value; calculate the average value of the normal minimum difference and the abnormal maximum difference, and name it the negative difference cutoff value;

[0031] The positive change cutoff value, negative change cutoff value, positive difference cutoff value and negative difference cutoff value are collectively referred to as cutoff values;

[0032] There are different cut-off values ​​for each different vital sign.

[0033] Furthermore, analyzing the change trend monitored in real time by using the cutoff value to determine whether there is an abnormal risk in the change of vital signs includes the following sub-steps:

[0034] Monitor the patient's vital signs in real time, and update the monitored change trend in real time, and name the real-time monitored vital sign change slope and vital sign difference slope as real-time change slope and real-time difference slope respectively;

[0035] Compare the real-time change slope with the positive change demarcation value and the negative change demarcation value. If the real-time change slope is greater than or equal to the negative change demarcation value and less than or equal to the positive change demarcation value, a normal change signal is output; otherwise, an abnormal change signal is output; compare the real-time difference slope with the positive difference demarcation value and the negative difference demarcation value. If the real-time difference slope is greater than or equal to the negative difference demarcation value and less than or equal to the positive difference demarcation value, a normal difference signal is output; otherwise, an abnormal difference signal is output;

[0036] Each vital sign is judged separately, and the output signals are collected at the same time, and the output signals are named judgment signals.

[0037] Furthermore, when there is an abnormal risk in the change of vital signs, sending an early warning message to the management center to notify the nurse to go for observation includes the following sub-steps:

[0038] Find and determine whether there is an abnormal change signal or an abnormal difference signal in the signal. If so, output a risk signal for vital signs; otherwise, output a normal signal for vital signs;

[0039] If a risk signal is output, an early warning message will be sent to the management center to notify the nurse to go for observation;

[0040] If the patient's vital signs remain normal within the first observation period, the observation will be stopped and the patient's vital signs will be monitored again.

[0041] Furthermore, monitoring liver function indicators and regularly checking whether the patient's liver function indicators are abnormal includes the following sub-steps:

[0042] Monitor the patient's liver function indicators in real time and obtain the normal range of the liver function indicators, which is named the normal range of the indicators;

[0043] Check whether the liver function index is within the normal range of the index. If so, output a normal index signal; if not, output an abnormal index signal;

[0044] If the output indicator shows an abnormal signal, an alarm notification will be sent to the management center.

[0045] In a second aspect, the present application provides a nursing monitoring information management system for hepatic artery perfusion surgery, including a real-time monitoring module, a trend analysis module, an abnormality analysis module and an index monitoring module; the real-time monitoring module, the trend analysis module and the index monitoring module are respectively connected to the abnormality analysis module data;

[0046] The real-time monitoring module is used to monitor the patient's vital signs in real time;

[0047] The trend analysis module is used to record the patient's vital signs and analyze the changing trend of the vital signs over time;

[0048] The abnormal analysis module is used to analyze whether there is an abnormal risk in the changes of vital signs based on the change trend. If there is, an early warning message is sent to the management center to notify the nurse to go for observation;

[0049] The index monitoring module is used to monitor liver function indexes and regularly check whether the patient's liver function indexes are abnormal.

[0050] Beneficial effects of the present invention: The present invention monitors the patient's vital signs in real time, records the patient's vital signs and analyzes the changing trend of the vital signs over time, and then analyzes the demarcation value between normal and abnormal changes in the vital signs through the historical changing trend. The advantage is that the changing trend reflects the changing amplitude of the patient's vital signs. Usually, the changing amplitude of the vital signs of patients who recover normally after surgery is smaller, while the changing amplitude of the vital signs of patients who recover abnormally after surgery is larger. Therefore, it can be judged whether the patient's vital signs have abnormal risks, thereby improving the effectiveness and rationality of postoperative monitoring information management;

[0051] The present invention analyzes the demarcation value between normal and abnormal changes in vital signs through historical change trends, and then analyzes the change trends monitored in real time through the demarcation value to determine whether there is an abnormal risk in the change of vital signs. When there is an abnormal risk in the change of vital signs, an early warning message is sent to the management center to notify the nurse to go for observation, and at the same time, liver function indicators are monitored, and the patient's liver function indicators are regularly checked to see if they are abnormal. The advantage is that the demarcation value distinguishes the vital signs of patients who have recovered normally after surgery and patients who have recovered abnormally after surgery, thereby determining whether there is an abnormal risk in the patient's vital signs, and notifying the nurse in advance to go for observation when there is an abnormal risk, so as to achieve the purpose of being able to deal with the patient's vital signs as soon as possible when they are abnormal. Judging whether the patient's liver function indicators are abnormal by comparing the threshold value is the most basic and indispensable functional part, which improves the accuracy and practicality of postoperative monitoring information management. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 is a functional block diagram of the system of the present invention;

[0053] Figure 2 The coordinate system of the physical sign change of the present invention with the recording time as the X-axis;

[0054] Figure 3 The coordinate system of the physical sign changes in the present invention is represented by numbers with the recording time as the X-axis;

[0055] Figure 4 It is a schematic diagram of the physical sign difference straight line of the present invention;

[0056] Figure 5 is a flow chart of the steps of the method of the present invention;

[0057] Figure 6 It is a schematic structural diagram of the electronic device of the present invention. DETAILED DESCRIPTION

[0058] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0059] Example 1, please refer to Figure 1 As shown, the present application provides a nursing monitoring information management system for hepatic artery perfusion surgery, including a real-time monitoring module, a trend analysis module, an abnormality analysis module and an index monitoring module; the real-time monitoring module, the trend analysis module and the index monitoring module are respectively connected with the abnormality analysis module data;

[0060] The real-time monitoring module is used to monitor the patient's vital signs in real time; vital signs include blood pressure, heart rate and body temperature;

[0061] In actual applications, the monitoring of vital signs is carried out using corresponding professional instruments. Vital signs include multiple characteristics such as blood pressure, heart rate and body temperature, and blood pressure is divided into systolic pressure and diastolic pressure. Therefore, vital signs are not limited to the three types listed in this embodiment. The three vital signs listed in this embodiment are only for the convenience of understanding and explanation.

[0062] The trend analysis module is used to record the patient's vital signs and analyze the trend of changes in vital signs over time;

[0063] The trend analysis module is configured with trend analysis strategies, which include:

[0064] When recording vital signs, the current time is recorded synchronously and marked as the recording time;

[0065] Establish a database of vital signs changes to store recording time and vital signs;

[0066] See also Figures 2 to 3 As shown, a plane rectangular coordinate system is established with the recording time as the X-axis and the vital signs as the Y-axis, named the vital signs change coordinate system, and the recording time and the corresponding vital signs are entered into the vital signs change coordinate system;

[0067] Perform linear regression on the physical sign change coordinate system to obtain the physical sign change function, and obtain the slope of the physical sign change function, which is named the physical sign change slope;

[0068] In practical applications, the present embodiment uses heart rate as the analysis object to illustrate the change trend and the process of determining abnormal physical signs. Some data in the physical sign change database are shown in Table 1 below:

[0069] Table 1 Partial data of the database of physical sign changes

[0070]

[0071] The coordinate system of body sign changes is constructed as Figure 2 As shown, Figure 2 The X-axis in the example is displayed in time format, which is not convenient for function calculation. Therefore, the recording time of the X-axis is represented by numbers in chronological order, such as Figure 3 As shown, Figure 3 The straight line in is the straight line corresponding to the physical sign change function. Through linear regression, the physical sign change function is Y=0.4138×X+66.586, where Y is the heart rate, X is the recording time, and 0.4138 is the slope of the physical sign change function, that is, the physical sign change slope is 0.4138;

[0072] Name the coordinate points in the physical sign change coordinate system as physical sign change points, find the physical sign change points with the smallest Y value and the largest Y value, and name them as the minimum physical sign point and the maximum physical sign point respectively;

[0073] See also Figure 4 As shown, the minimum sign point and the maximum sign point are connected by a straight line to obtain a sign difference straight line, and the slope of the sign difference straight line is obtained, which is named the sign difference slope;

[0074] The slope of the physical sign change and the slope of the physical sign difference are the change trend;

[0075] In practical applications, the difference straight line of physical signs is as follows Figure 4 As shown, Figure 4 The dotted line in the figure is the physical sign difference straight line, and the physical sign difference slope is 0.9, that is, the physical sign change slope monitored in real time is 0.4138, and the physical sign difference slope is 0.9, which are collectively called the change trend.

[0076] The abnormal analysis module is used to analyze whether there is an abnormal risk in the changes of vital signs based on the change trend. If there is, it sends an early warning message to the management center to notify the nurse to go for observation; the abnormal analysis module includes a cutoff value determination unit, a risk judgment unit and a risk early warning unit;

[0077] The cut-off value determination unit is used to analyze the cut-off value between normal change and abnormal change of vital signs through historical change trends;

[0078] The demarcation value determination unit is configured with a demarcation value determination strategy, and the demarcation value determination strategy includes:

[0079] The feature change database includes a feature change table for each user, and a normal change table and an abnormal change table are marked in the feature change database. The normal change table is a life feature in which all life features in the feature change table are normal, and the abnormal change table is a life feature in which there are abnormal life features in the life feature in the feature change table.

[0080] Analyze and calculate the change trend of the normal change table, named as normal trend, which includes normal change slope and normal difference slope; analyze and calculate the change trend of the abnormal change table, named as abnormal trend, which includes abnormal change slope and abnormal difference slope;

[0081] In practical applications, the feature change table records the continuous changes of the vital signs of the same patient over time. One feature change table analysis corresponds to one change trend. By analyzing all feature change tables in the feature change database, several change trends are obtained, and the change trends are divided into normal trends and abnormal trends.

[0082] Count the range of normal and abnormal trends, and determine whether the trend of changes in the patient's vital signs is abnormal;

[0083] The range of the normal change slope is counted and named as the normal change range, and the minimum value and the maximum value of the normal change range are marked as the normal minimum change and the normal maximum change respectively; the range of the normal difference slope is counted and named as the normal difference range, and the minimum value and the maximum value of the normal difference range are marked as the normal minimum difference and the normal maximum difference respectively;

[0084] In practical applications, the normal change range is [-0.3472, 0.4896], where -0.3472 is the normal minimum change and 0.4896 is the normal maximum change; the normal difference range is [-0.8274, 0.9126], where -0.8274 is the normal minimum difference and 0.9126 is the normal maximum difference;

[0085] The range of the statistical abnormal change slope is named as the abnormal change range, and the minimum value greater than zero and the maximum value less than zero in the abnormal change range are marked as the abnormal minimum change and the abnormal maximum change respectively; the range of the statistical abnormal difference slope is named as the abnormal difference range, and the minimum value greater than zero and the maximum value less than zero in the abnormal difference range are marked as the abnormal minimum difference and the abnormal maximum difference respectively;

[0086] In practical applications, the statistical abnormal change range is [-0.7963, -0.5324] ∪ [0.5679, 0.8184], where ∪ is the union symbol, 0.5679 is the minimum abnormal change, and -0.5324 is the maximum abnormal change; the abnormal difference range is [-1.348, -0.9431] ∪ [0.9879, 1.4538], where 0.9879 is the minimum abnormal difference and -0.9431 is the maximum abnormal difference;

[0087] Calculate the average value of the normal maximum change and the abnormal minimum change, and name it the positive change cutoff value; calculate the average value of the normal minimum change and the abnormal maximum change, and name it the negative change cutoff value; calculate the average value of the normal maximum difference and the abnormal minimum difference, and name it the positive difference cutoff value; calculate the average value of the normal minimum difference and the abnormal maximum difference, and name it the negative difference cutoff value;

[0088] The positive change cut-off value, the negative change cut-off value, the positive difference cut-off value, and the negative difference cut-off value are collectively referred to as the cut-off value;

[0089] There are different cut-off values ​​for each different vital sign;

[0090] In practical applications, the calculated positive boundary value of the change is (0.4896+0.5679) / 2=0.52875, the calculated negative boundary value of the change is (-0.3472-0.5324) / 2=-0.4398, the calculated positive boundary value of the difference is (0.9126+0.9879) / 2=0.95025, and the calculated negative boundary value of the difference is (-0.8274-0.9431) / 2=-0.8852. The boundary values ​​calculated in this embodiment are all the boundary values ​​of the heart rate.

[0091] The risk judgment unit is used to analyze the change trend monitored in real time through the cutoff value to determine whether there is an abnormal risk in the change of vital signs;

[0092] The risk judgment unit is configured with risk judgment strategies, which include:

[0093] Monitor the patient's vital signs in real time, and update the monitored change trend in real time, and name the real-time monitored vital sign change slope and vital sign difference slope as real-time change slope and real-time difference slope respectively;

[0094] In practical applications, the real-time change slope includes the real-time blood pressure change slope, the real-time heart rate change slope and the real-time body temperature change slope; the real-time difference slope includes the real-time blood pressure difference slope, the real-time heart rate difference slope and the real-time body temperature difference slope;

[0095] The cut-off value corresponding to the blood pressure is named as the blood pressure cut-off value, and the blood pressure cut-off value includes the positive cut-off value of blood pressure change, the negative cut-off value of blood pressure change, the positive cut-off value of blood pressure difference and the negative cut-off value of blood pressure difference;

[0096] The cutoff value corresponding to the heart rate is named the heart rate cutoff value, and the heart rate cutoff value includes a positive heart rate change cutoff value, a negative heart rate change cutoff value, a positive heart rate difference cutoff value, and a negative heart rate difference cutoff value;

[0097] The cut-off values ​​corresponding to body temperature are named as body temperature cut-off values, which include the positive cut-off value of body temperature change, the negative cut-off value of body temperature change, the positive cut-off value of body temperature difference and the negative cut-off value of body temperature difference;

[0098] Compare the real-time change slope with the positive change demarcation value and the negative change demarcation value. If the real-time change slope is greater than or equal to the negative change demarcation value and less than or equal to the positive change demarcation value, a normal change signal is output; otherwise, an abnormal change signal is output; compare the real-time difference slope with the positive difference demarcation value and the negative difference demarcation value. If the real-time difference slope is greater than or equal to the negative difference demarcation value and less than or equal to the positive difference demarcation value, a normal difference signal is output; otherwise, an abnormal difference signal is output;

[0099] Each vital sign is judged separately, and the output signal is collected at the same time, and the output signal is named as the judgment signal;

[0100] In practical applications, since the specific monitoring and analysis process is explained only through the monitoring of heart rate in this embodiment, only the real-time heart rate change slope and the real-time heart rate difference slope are considered. The positive boundary value of heart rate change, the negative boundary value of heart rate change, the positive boundary value of heart rate difference and the negative boundary value of heart rate difference calculated in this embodiment are 0.52875, -0.4398, 0.95025 and -0.8852 respectively; the real-time heart rate change slope and the real-time heart rate difference slope obtained through real-time monitoring are 0.4138 respectively. and 0.9, by comparing, the real-time change slope is greater than the negative change boundary value and less than the positive change boundary value, and a change normal signal is output; at the same time, by comparing, the real-time difference slope is greater than the negative difference boundary value and less than the positive difference boundary value, and a difference normal signal is output; each vital sign is judged separately, and the output signals are collected at the same time. In this embodiment, three vital signs are listed, and blood pressure includes systolic pressure and diastolic pressure, so there are a total of four vital signs, and two judgment signals are output for each vital sign, and a total of eight judgment signals are output;

[0101] The risk warning unit is used to send warning information to the management center when there is an abnormal risk in the changes of vital signs, and notify the nurse to go for observation;

[0102] The risk warning unit is configured with risk warning strategies, which include:

[0103] Find and determine whether there is an abnormal change signal or an abnormal difference signal in the signal. If so, output a risk signal for vital signs; otherwise, output a normal signal for vital signs;

[0104] If a risk signal is output, an early warning message will be sent to the management center to notify the nurse to go for observation;

[0105] If the patient's vital signs remain normal within the first observation period, the observation will be stopped and the patient's vital signs will be monitored again;

[0106] In actual applications, there is no abnormal change signal or abnormal difference signal among the 8 output judgment signals, so a normal vital sign signal is output; if a vital sign risk signal is output, an early warning message is sent to the management center to notify the nurse to go for observation. At this time, the nurse needs to observe the patient's physical condition. If any abnormality is found, the doctor is notified in time to go for treatment. If no abnormality is found in the patient's physical condition during the first observation period and the vital signs are all within the normal range, it means that an accidental event has occurred in the monitoring results. The observation is stopped and the patient's vital signs are monitored again. The first observation period is usually set to one minute.

[0107] The index monitoring module is used to monitor liver function indicators and regularly check whether the patient's liver function indicators are abnormal;

[0108] The indicator monitoring module is configured with indicator monitoring strategies, which include:

[0109] Monitor the patient's liver function indicators in real time and obtain the normal range of the liver function indicators, which is named the normal range of the indicators;

[0110] Check whether the liver function index is within the normal range of the index. If so, output a normal index signal; if not, output an abnormal index signal;

[0111] If the output indicator shows abnormal signal, an alarm notification will be sent to the management center;

[0112] In actual applications, liver function indicators include but are not limited to liver enzymes and bilirubin. Taking bilirubin as an example, the normal range of bilirubin indicators is 3.4μmol / L to 17.1μmol / L. The patient's bilirubin value obtained by monitoring is 5.6μmol / L. The liver function indicators are found to be within the normal range, and a normal indicator signal is output; judging whether the patient has abnormalities through the normal range of each indicator is an essential part of monitoring information management.

[0113] Example 2, please refer to Figure 5 As shown, the present application provides a method for managing nursing monitoring information after hepatic artery perfusion surgery, comprising the following steps:

[0114] Step S1, real-time monitoring of the patient's vital signs; the vital signs include blood pressure, heart rate and body temperature;

[0115] Step S2, recording the patient's vital signs and analyzing the changing trend of the vital signs over time; Step S2 includes the following sub-steps:

[0116] Step S201, when recording vital signs, the current time is synchronously recorded and marked as the recording time;

[0117] Step S202, establishing a vital sign change database to store recording time and vital signs;

[0118] Step S203, establishing a plane rectangular coordinate system with the recording time as the X-axis and the vital sign as the Y-axis, named the vital sign change coordinate system, and entering the recording time and the corresponding vital sign into the vital sign change coordinate system;

[0119] Step S204, performing linear regression on the physical sign change coordinate system to obtain a physical sign change function, and obtaining the slope of the physical sign change function, which is named the physical sign change slope;

[0120] Step S205, naming the coordinate points in the physical sign change coordinate system as physical sign change points, searching for the physical sign change points with the smallest Y value and the largest Y value, and naming them as the minimum physical sign point and the maximum physical sign point respectively;

[0121] Step S206, connecting the minimum sign point and the maximum sign point by a straight line to obtain a sign difference straight line, and obtaining the slope of the sign difference straight line, which is named the sign difference slope;

[0122] Step S207, the slope of the physical sign change and the slope of the physical sign difference are the change trend;

[0123] Step S3, based on the change trend, analyze whether there is an abnormal risk in the changes of vital signs. If there is, send an early warning message to the management center to notify the nurse to go for observation. Step S3 includes the following sub-steps:

[0124] Step S301, analyzing the boundary value between normal and abnormal changes of vital signs through historical change trends;

[0125] Step S301 includes the following sub-steps:

[0126] Step S3011, the feature change database includes a feature change table for each user, and a normal change table and an abnormal change table are marked in the feature change database. The normal change table is a life feature in which all life features in the feature change table are normal, and the abnormal change table is a life feature in which there are abnormal life features in the feature change table;

[0127] Step S3012, analyzing and calculating the change trend of the normal change table, named as normal trend, which includes normal change slope and normal difference slope; analyzing and calculating the change trend of the abnormal change table, named as abnormal trend, which includes abnormal change slope and abnormal difference slope;

[0128] Step S3013, counting the range of normal trends and abnormal trends, and determining whether the trend of changes in the patient's vital signs is abnormal;

[0129] Step S3013 includes the following sub-steps:

[0130] Step S3013.1, counting the range of normal change slope, naming it as normal change range, marking the minimum value and maximum value of the normal change range as normal minimum change and normal maximum change respectively; counting the range of normal difference slope, naming it as normal difference range, marking the minimum value and maximum value of the normal difference range as normal minimum difference and normal maximum difference respectively;

[0131] Step S3013.2, calculating the range of the abnormal change slope, naming it the abnormal change range, marking the minimum value greater than zero and the maximum value less than zero in the abnormal change range as the abnormal minimum change and the abnormal maximum change respectively; calculating the range of the abnormal difference slope, naming it the abnormal difference range, marking the minimum value greater than zero and the maximum value less than zero in the abnormal difference range as the abnormal minimum difference and the abnormal maximum difference respectively;

[0132] Step S3013.3, calculate the average value of the normal maximum change and the abnormal minimum change, and name it as the positive change cutoff value; calculate the average value of the normal minimum change and the abnormal maximum change, and name it as the negative change cutoff value; calculate the average value of the normal maximum difference and the abnormal minimum difference, and name it as the positive difference cutoff value; calculate the average value of the normal minimum difference and the abnormal maximum difference, and name it as the negative difference cutoff value;

[0133] Step S3013.4, the change positive demarcation value, the change negative demarcation value, the difference positive demarcation value and the difference negative demarcation value are collectively referred to as demarcation values;

[0134] Step S3013.5, for each different vital sign, there is a different cutoff value;

[0135] Step S302, analyzing the change trend monitored in real time by using the cutoff value to determine whether there is an abnormal risk in the change of vital signs;

[0136] Step S302 includes the following sub-steps:

[0137] Step S3021, monitor the patient's vital signs in real time, and update the monitored change trend in real time, and name the real-time monitored vital sign change slope and vital sign difference slope as real-time change slope and real-time difference slope respectively;

[0138] Step S3022, compare the real-time change slope with the change positive demarcation value and the change negative demarcation value, if the real-time change slope is greater than or equal to the change negative demarcation value and less than or equal to the change positive demarcation value, then output a change normal signal; otherwise, output a change abnormal signal; compare the real-time difference slope with the difference positive demarcation value and the difference negative demarcation value, if the real-time difference slope is greater than or equal to the difference negative demarcation value and less than or equal to the difference positive demarcation value, then output a difference normal signal; otherwise, output a difference abnormal signal;

[0139] Step S3023, judging each vital sign separately, collecting output signals at the same time, and naming the output signals as judgment signals;

[0140] Step S303, when there is an abnormal risk in the change of vital signs, send an early warning message to the management center to notify the nurse to go for observation;

[0141] Step S303 includes the following sub-steps:

[0142] Step S3031, searching whether there is an abnormal change signal or an abnormal difference signal in the judgment signal, if so, outputting a vital sign risk signal; otherwise, outputting a vital sign normal signal;

[0143] Step S3032: If a risk signal is output, a warning message is sent to the management center to notify the nurse to go for observation;

[0144] Step S3033, if the patient's vital signs are still normal within the first observation time, stop the observation and re-monitor the patient's vital signs;

[0145] Step S4, monitoring liver function indicators, and regularly checking whether the patient's liver function indicators are abnormal; Step S4 includes the following sub-steps:

[0146] Step S401, monitoring the patient's liver function index in real time, and obtaining the normal range of the liver function index, which is named as the normal range of the index;

[0147] Step S402, searching whether the liver function index is within the normal range of the index, if so, outputting a normal index signal; if not, outputting an abnormal index signal;

[0148] Step S403: If an abnormal indicator signal is output, an alarm notification is sent to the management center.

[0149] Example 3, please refer to Figure 6 As shown, Figure 6 The schematic diagram of the structure of an electronic device is illustrated, and the electronic device may include: a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus. The memory stores computer-readable instructions, and the processor can call the instructions in the memory. When the computer-readable instructions are executed by the processor, the steps in the nursing monitoring information management method after hepatic artery perfusion are executed to achieve the following functions: real-time monitoring of the patient's vital signs; recording the patient's vital signs and analyzing the changing trend of the vital signs over time; analyzing whether there is an abnormal risk in the change of vital signs based on the changing trend, and if there is, sending an early warning message to the management center to notify the nurse to go for observation; monitoring liver function indicators, and regularly checking whether the patient's liver function indicators are abnormal.

[0150] In addition, the logic instructions in the above-mentioned memory can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art, and the computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk.

[0151] Example 4. The present application also provides a computer-readable storage medium. The present application provides a storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps in the above method for managing nursing monitoring information after hepatic artery perfusion are executed to achieve the following functions: real-time monitoring of the patient's vital signs; recording the patient's vital signs and analyzing the changing trends of the vital signs over time; analyzing whether there is an abnormal risk in the changes in vital signs based on the changing trends, and if so, sending an early warning message to the management center to notify the nurse to go for observation; monitoring liver function indicators, and regularly checking whether the patient's liver function indicators are abnormal.

[0152] Through the description of the above implementation methods, the embodiments of the present invention can be provided as methods, systems or computer program products. Based on such an understanding, the above technical solutions can be essentially or partly contributed to the prior art in the form of software products, which can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and include several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0153] In the embodiments provided in the present application, it should be understood that the disclosed system or method can be implemented in other ways. The embodiments described above are merely schematic. For example, the division of modules or units is only a logical function division. There may be other division methods in actual implementation. For example, multiple modules or units can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of systems, modules and units can be electrical, mechanical or other forms.

[0154] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for managing nursing monitoring information after hepatic artery perfusion surgery, characterized in that: The steps include: Real-time monitoring of patients’ vital signs; Record patients' vital signs and analyze their trends over time; Analyze whether there is an abnormal risk in the changes of vital signs based on the change trend. If there is, send an early warning message to the management center to notify the nurse to go for observation; Monitor liver function indicators and regularly check whether the patient's liver function indicators are abnormal.

2. The method for managing nursing monitoring information after hepatic artery perfusion surgery according to claim 1, characterized in that: The vital signs include blood pressure, heart rate and body temperature.

3. The method for managing nursing monitoring information after hepatic artery perfusion surgery according to claim 2, characterized in that: Recording the patient's vital signs and analyzing their changing trends over time includes the following sub-steps: When recording vital signs, the current time is recorded synchronously and marked as the recording time; Establish a database of vital signs changes to store recording time and vital signs; A plane rectangular coordinate system is established with the recording time as the X-axis and the vital signs as the Y-axis, named the vital signs change coordinate system, and the recording time and the corresponding vital signs are entered into the vital signs change coordinate system; Perform linear regression on the physical sign change coordinate system to obtain the physical sign change function, and obtain the slope of the physical sign change function, which is named the physical sign change slope; Name the coordinate points in the physical sign change coordinate system as physical sign change points, find the physical sign change points with the smallest Y value and the largest Y value, and name them as the minimum physical sign point and the maximum physical sign point respectively; Connect the minimum sign point and the maximum sign point with a straight line to obtain a sign difference straight line, and obtain the slope of the sign difference straight line, which is named the sign difference slope; The slope of the physical sign change and the slope of the physical sign difference are the change trend.

4. The method for managing nursing monitoring information after hepatic artery perfusion surgery according to claim 3, characterized in that: Analyzing whether there is an abnormal risk in the changes of vital signs based on the change trend includes the following sub-steps: Analyze the demarcation value between normal and abnormal changes in vital signs through historical change trends; Analyze the change trend monitored in real time through the cutoff value to determine whether there is an abnormal risk in the change of vital signs; When there is an abnormal risk in the changes of vital signs, an early warning message is sent to the management center to notify the nurse to go for observation.

5. The method for managing nursing monitoring information after hepatic artery perfusion surgery according to claim 4, characterized in that: Analyzing the demarcation values ​​between normal and abnormal changes in vital signs through historical change trends includes the following sub-steps: The feature change database includes a feature change table for each user, and a normal change table and an abnormal change table are marked in the feature change database. The normal change table is a life feature in which all life features in the feature change table are normal, and the abnormal change table is a life feature in which there are abnormal life features in the feature change table; Analyze and calculate the change trend of the normal change table, named as normal trend, wherein the normal trend includes the normal change slope and the normal difference slope; Analyze and calculate the change trend of the abnormal change table, named abnormal trend, the abnormal trend includes abnormal change slope and abnormal difference slope; Count the range of normal and abnormal trends, and determine whether the changing trend of the patient's vital signs is abnormal.

6. The method for managing nursing monitoring information after hepatic artery perfusion surgery according to claim 5, characterized in that: Counting the range of normal trends and abnormal trends and determining whether the trend of changes in the patient's vital signs is abnormal includes the following sub-steps: The range of normal change slope is counted and named as normal change range, and the minimum value and maximum value of the normal change range are marked as normal minimum change and normal maximum change respectively; The range of the normal difference slope is calculated and named as the normal difference range, and the minimum value and the maximum value of the normal difference range are marked as the normal minimum difference and the normal maximum difference respectively; The range of the slope of the statistical abnormal change is named the abnormal change range, and the minimum value greater than zero and the maximum value less than zero in the abnormal change range are marked as the abnormal minimum change and the abnormal maximum change respectively; The range of the slope of the statistical abnormal difference is named the abnormal difference range, and the minimum value greater than zero and the maximum value less than zero in the abnormal difference range are marked as the abnormal minimum difference and the abnormal maximum difference respectively; Calculate the average value of the normal maximum change and the abnormal minimum change, and name it the positive change cutoff value; calculate the average value of the normal minimum change and the abnormal maximum change, and name it the negative change cutoff value; calculate the average value of the normal maximum difference and the abnormal minimum difference, and name it the positive difference cutoff value; calculate the average value of the normal minimum difference and the abnormal maximum difference, and name it the negative difference cutoff value; The positive change cutoff value, negative change cutoff value, positive difference cutoff value and negative difference cutoff value are collectively referred to as cutoff values; There are different cut-off values ​​for each different vital sign.

7. The method for managing nursing monitoring information after hepatic artery perfusion surgery according to claim 6, characterized in that: Analyzing the change trend monitored in real time through the cutoff value to determine whether there is an abnormal risk in the change of vital signs includes the following sub-steps: Monitor the patient's vital signs in real time, and update the monitored change trend in real time, and name the real-time monitored vital sign change slope and vital sign difference slope as real-time change slope and real-time difference slope respectively; The real-time change slope is compared with the change positive boundary value and the change negative boundary value. If the real-time change slope is greater than or equal to the change negative boundary value and less than or equal to the change positive boundary value, a normal change signal is output; Otherwise, an abnormal change signal is output; the real-time difference slope is compared with the difference positive boundary value and the difference negative boundary value. If the real-time difference slope is greater than or equal to the difference negative boundary value and less than or equal to the difference positive boundary value, a normal difference signal is output; Otherwise, an abnormal difference signal is output; Each vital sign is judged separately, and the output signals are collected and named as judgment signals.

8. The method for managing nursing monitoring information after hepatic artery perfusion surgery according to claim 7, characterized in that: When there is an abnormal risk in the changes of vital signs, sending warning information to the management center to notify the nurse to go for observation includes the following sub-steps: Find and determine whether there is an abnormal change signal or an abnormal difference signal in the signal. If so, output a risk signal for vital signs; otherwise, output a normal signal for vital signs; If a risk signal is output, an early warning message will be sent to the management center to notify the nurse to go for observation; If the patient's vital signs remain normal within the first observation period, the observation will be stopped and the patient's vital signs will be monitored again.

9. The method for managing nursing monitoring information after hepatic artery perfusion surgery according to claim 8, characterized in that: Monitoring liver function indicators and regularly checking whether the patient's liver function indicators are abnormal includes the following sub-steps: Monitor the patient's liver function indicators in real time and obtain the normal range of the liver function indicators, which is named the normal range of the indicators; Check whether the liver function index is within the normal range of the index. If so, output a normal index signal; if not, output an abnormal index signal; If the output indicator shows an abnormal signal, an alarm notification will be sent to the management center.

10. A nursing monitoring information management system after hepatic artery perfusion surgery, used to implement the nursing monitoring information management method after hepatic artery perfusion surgery according to any one of claims 1 to 9, characterized in that: It includes a real-time monitoring module, a trend analysis module, an abnormality analysis module and an indicator monitoring module; the real-time monitoring module, the trend analysis module and the indicator monitoring module are respectively connected with the abnormality analysis module data; The real-time monitoring module is used to monitor the patient's vital signs in real time; The trend analysis module is used to record the patient's vital signs and analyze the changing trend of the vital signs over time; The abnormal analysis module is used to analyze whether there is an abnormal risk in the changes of vital signs based on the change trend. If there is, an early warning message is sent to the management center to notify the nurse to go for observation; The index monitoring module is used to monitor liver function indexes and regularly check whether the patient's liver function indexes are abnormal.

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