Delivery room and operating room nursing optimization system based on data analysis

Abstract

The invention relates to the field of medical data processing, in particular to a delivery room and operating room nursing optimization system based on data analysis, and the system comprises the steps: collecting the heart rate data of a puerpera and a fetus, and storing the data into an array; acquiring a fetal heart rate data fluctuation error factor according to the relative size of the puerpera and fetal heart rate data; acquiring a confidence factor of the fetal heart rate data according to the continuous change of the fluctuation error factor of the fetal heart rate data; obtaining a puerpera heart rate data abnormal factor according to the fluctuation of the difference between the puerpera heart rate and the previous heart rate data value and the difference between the puerpera heart rate and all adjacent heart rate data; acquiring abnormal degree parameters of the heart rate data of the fetus in combination with the parameters and the factors; and continuing to collect the heart rate data and update the array, setting a fetal heart rate abnormity degree parameter threshold value, judging whether the fetal heart rate data is abnormal or not, reminding medical personnel to nurse, and completing the nursing optimization of the delivery room and the operating room based on data analysis. According to the method, fetal heart rate abnormity judgment is more accurate.

Description

Technical Field

[0001] The present invention relates to the field of medical data processing, and in particular to a delivery room and operating room nursing optimization system based on data analysis. Background Art

[0002] During the nursing process in the delivery room and operating room, continuous monitoring of the fetal heart rate is extremely important. Continuous monitoring can immediately reflect the changes in the fetal heart rate and help medical staff assess their health status. Abnormal heart rate, such as too fast, too slow or reduced variation, can be used to detect fetal distress and other problems early; by timely detection of abnormal heart rate, fetal hypoxia can be prevented and serious complications such as brain damage can be reduced.

[0003] In the existing delivery room operating room, the early warning of fetal or maternal heart rate is to use a fetal heart rate monitor to monitor the actual heart rate changes of the fetus, and compare the actual heart rate changes of the fetus with the general heart rate changes of the fetus to determine whether the fetal heart rate is normal. If the fetal heart rate is abnormal, the abnormal fetal heart rate characteristics are used to guide clinical decisions (such as the timing of intervention) to reduce the risks of hypoxia and complications and improve the safety of delivery. However, the fetal heart rate and maternal heart rate may affect each other. For example, the physical condition and mood of the mother may affect the fetal heart rate, and the fetal heart rate may fluctuate occasionally. Therefore, it is not accurate to judge whether the maternal and fetal heart rates are abnormal based on the fixed heart rate change range threshold. It may cause the normal heart rate changes of the fetus to be misjudged as abnormal heart rate changes of the fetus, thereby wasting medical resources, and it may also cause the abnormal heart rate changes of the fetus to be misjudged as normal heart rate changes of the fetus, thereby missing the best time for nursing intervention. Summary of the invention

[0004] The present invention provides a delivery room and operating room nursing optimization system based on data analysis to solve the existing problem that it is not accurate enough to judge whether the fetal heart rate is abnormal based on fixed fetal and maternal heart rate thresholds.

[0005] The method for optimizing nursing care in delivery rooms and operating rooms based on data analysis of the present invention adopts the following technical scheme: In the first aspect of the present invention, a method for optimizing nursing care in delivery rooms and operating rooms based on data analysis is provided, and the method comprises the following steps: collecting maternal and fetal heart rate data and storing the heart rate data in maternal heart rate array and fetal heart rate array respectively to obtain continuous fetal heart rate data and maternal heart rate data; obtaining a fluctuation error factor of each fetal heart rate data according to the relative size of each maternal heart rate data and each fetal heart rate data; obtaining a confidence factor of each fetal heart rate data according to the continuous change of the fluctuation error factor of each fetal heart rate data; and obtaining a confidence factor of each fetal heart rate data according to the relative size of each maternal heart rate data and each fetal heart rate data. The difference between the maternal heart rate data value and the maternal heart rate data value at the previous moment, and the fluctuation of the difference between the maternal heart rate data value and all adjacent maternal heart rate data values ​​before this moment, are used to obtain the abnormal factor of each maternal heart rate data; according to the fluctuation error factor of each fetal heart rate data, the confidence factor of each fetal heart rate data and the abnormal factor of each maternal heart rate data, the abnormal degree parameter of each fetal heart rate data is obtained; the maternal and fetal heart rate data are continued to be collected and the array is updated, and the abnormal degree parameter threshold of the fetal heart rate data is set, and whether the collected fetal heart rate data is abnormal is judged according to the abnormal degree parameter threshold, and the medical staff is reminded to perform nursing intervention according to the judgment result.

[0006] Furthermore, the maternal and fetal heart rate data are collected and the heart rate data are respectively stored in the maternal heart rate array and the fetal heart rate array to obtain continuous fetal heart rate data and maternal heart rate data. The specific method is as follows: a fetal heart rate monitor and a heart rate monitor are arranged, and the fetal heart rate and the maternal heart rate are respectively collected by the fetal heart rate monitor and the heart rate monitor, the collection time interval is P seconds, the number of collections is B times, and the collected fetal heart rate and maternal heart rate are respectively stored in the fetal heart rate array and the maternal heart rate array according to the collection sequence to obtain continuous fetal heart rate data and maternal heart rate data.

[0007] Furthermore, the fluctuation error factor of each heart rate data of the fetus is obtained according to the relative size of each heart rate data of the parturient and each heart rate data of the fetus, and the specific method is as follows: In the formula, represents the fluctuation error factor of the u-th heart rate data of the fetus, Indicates the value of the u-th heart rate data of the fetus, represents the value of the u-th heart rate data of the parturient, B represents the number of times the heart rate data is collected, represents the value of the fetal heart rate data of the ith time. Represents the value of the i-th heart rate data of the parturient.

[0008] Furthermore, the confidence factor of each heart rate data of the fetus is obtained according to the continuous change of the fluctuation error factor of each heart rate data of the fetus. The specific method is as follows: a number set of preset length E is filled with the fluctuation error factor of the heart rate data of the fetus, wherein the fluctuation error factor of the last heart rate data of the fetus in the number set is the fluctuation error factor of the u-th heart rate data of the fetus, and the confidence factor of the u-th heart rate data of the fetus is obtained according to the fluctuation error factors of all the heart rate data of the fetus in the number set. The specific formula is as follows: In the formula, represents the confidence factor of the u-th heart rate data of the fetus, E represents the length of the data set, represents the fluctuation error factor of the jth heart rate data of the fetus, The number set whose end is the number set of the j-th heart rate data fluctuation error factor of the fetus is the mean of all the heart rate data fluctuation error factors of the fetus. The number set represents the mean of all the heart rate data fluctuation error factors after removing the j-th fetal heart rate data fluctuation error factor in the number set whose end is the fetal heart rate data fluctuation error factor, and j represents the sequence of the first fetal heart rate data fluctuation error factor in the number set; when the confidence factor of the u-th fetal heart rate data is calculated, the number set is cleared and the number set length remains unchanged.

[0009] Furthermore, the abnormal factor of each heart rate data of the parturient is obtained according to the difference between the heart rate data value of the parturient at a certain moment and the heart rate data value of the parturient at the previous moment, and the fluctuation of the difference between the heart rate data values ​​of all adjacent heart rate data of the parturient before the moment, and the specific method is as follows: In the formula, Indicates the abnormal factor of the u-th heart rate data of the parturient, Indicates the value of the u-th heart rate data of the parturient. Indicates the value of the u-1 heart rate data of the parturient. Indicates the hth heart rate data value of the parturient. Indicates the h-1th heart rate data value of the parturient.

[0010] Furthermore, the specific method for obtaining the abnormality degree parameter of each heart rate data of the fetus according to the fluctuation error factor of each heart rate data of the fetus, the confidence factor of each heart rate data of the fetus and the abnormality factor of each heart rate data of the parturient is as follows: In the formula, Indicates the abnormality parameter of the u-th heart rate data of the fetus, represents the fluctuation error factor of the u-th heart rate data of the fetus, represents the confidence factor of the u-th heart rate data of the fetus, Indicates the abnormal factor of the u-th heart rate data of the parturient.

[0011] Further, the maternal and fetal heart rate data are continued to be collected and the array is updated, a threshold value of a parameter of an abnormal degree of fetal heart rate data is set, whether the collected fetal heart rate data is abnormal is judged according to the threshold value of the abnormal degree parameter, and medical staff are reminded to perform nursing intervention according to the judgment result. The specific method is as follows: a fetal heart monitor and a heart rate monitor are used to collect new fetal heart rate and maternal heart rate at the same time, the collection time interval is P seconds, the number of collections is V times, and the maternal and fetal data are collected once each time, the fetal heart rate array and the maternal heart rate array are updated, the first element in the fetal heart rate array and the maternal heart rate array is deleted, and all the remaining elements in the array are moved forward by one position, and finally the newly collected fetal heart rate and maternal heart rate data are added to the end of the two arrays respectively, the abnormal degree parameter of the fetal heart rate data collected each time is calculated according to the maternal heart rate data and the fetal heart rate data in the new array, and the threshold value Q of the fetal heart rate abnormal degree parameter is set, and the abnormal parameter of the fetal heart rate data collected each time is compared with the threshold value Q of the fetal heart rate abnormal degree parameter, if the abnormal parameter of the fetal heart rate data is greater than the threshold value Q of the fetal heart rate data abnormality parameter, the medical staff is reminded to perform intervention nursing.

[0012] The second aspect of the present invention provides a delivery room and operating room nursing optimization system based on data analysis, the system includes a temperature acquisition module, a parameter calculation module and a processing warning module, wherein: the heart rate acquisition module is used to collect maternal and fetal heart rate data and store the heart rate data in the maternal heart rate array and the fetal heart rate array respectively, to obtain continuous fetal heart rate data and maternal heart rate data; the parameter calculation module is used to obtain the fluctuation error factor of each fetal heart rate data according to the relative size of each maternal heart rate data and each fetal heart rate data; according to the continuous change of the fluctuation error factor of each fetal heart rate data, to obtain the confidence factor of each fetal heart rate data; according to the relative size of each maternal heart rate data and .... The difference between the maternal heart rate data value and the maternal heart rate data value at the previous moment, and the fluctuation of the difference between the maternal heart rate data value and all adjacent maternal heart rate data values ​​before this moment, are used to obtain the abnormal factor of each maternal heart rate data; the abnormal degree parameter of each fetal heart rate data is obtained according to the fluctuation error factor of each fetal heart rate data, the confidence factor of each fetal heart rate data and the abnormal factor of each maternal heart rate data; the collection and early warning module is used to continue to collect maternal and fetal heart rate data and update the array, set the abnormal degree parameter threshold of the fetal heart rate data, judge whether the collected fetal heart rate data is abnormal according to the abnormal degree parameter threshold, and remind medical staff to perform nursing intervention according to the judgment result.

[0013] A third aspect of the present invention is a computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the steps of the above-mentioned method for optimizing delivery room and operating room care based on data analysis.

[0014] A fourth aspect of the present invention is a computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned delivery room and operating room care optimization method based on data analysis when executing the computer program.

[0015] The beneficial effects of the technical solution of the present invention are: collecting maternal and fetal heart rate data and storing the heart rate data in the maternal heart rate array and the fetal heart rate array respectively, obtaining continuous fetal heart rate data and maternal heart rate data; collecting fetal and maternal heart rate data at the same time, facilitating synchronous comparison and analysis of abnormalities of maternal and fetal heart rate data; obtaining the fluctuation error factor of each fetal heart rate data according to the relative size of each maternal heart rate data and each fetal heart rate number; judging whether the fetal heart rate fluctuation is abnormal according to the fluctuation law and trend of the maternal heart rate, which can avoid maternal heart rate changes caused by changes in maternal emotions to a certain extent. A higher or lower heart rate affects the fetal heart rate and causes the fetal heart rate to be misjudged as abnormal; according to the continuous change of the fluctuation error factor of each fetal heart rate data, the confidence factor of each fetal heart rate data is obtained; the fetal heart rate may have accidental fluctuations, and the data at certain moments may have abnormal values. Such accidental fluctuations may cause the system to misjudge and identify normal heart rate data as abnormal, thereby misleading medical staff to take unnecessary intervention measures and waste medical resources. This step avoids medical staff from being misled by accidental heart rate data to a certain extent; according to the value of the maternal heart rate data at a certain moment and the maternal heart rate data at the previous moment The difference in the heart rate data values ​​and the fluctuation of the difference in the values ​​of all adjacent heart rate data of the parturient before that moment are used to obtain the abnormal factor of each heart rate data of the parturient; if the maternal heart rate itself is abnormal, the fetal heart rate may also be abnormal, and the abnormal judgment of the fetal heart rate at this time may not be accurate enough. This step determines whether the maternal heart rate is abnormal. If the degree of abnormality of the maternal heart rate at a certain moment is higher, the more inaccurate the abnormality of the fetal heart rate at that moment is, and the higher the probability that medical staff need to intervene and care; according to the fluctuation error factor of each heart rate data of the fetus, the confidence factor of each heart rate data of the fetus is The abnormal factors of each heart rate data of the fetus and the parturient are used to obtain the abnormality degree parameters of each heart rate data of the fetus; the abnormality degree of the fetal heart rate is more accurately judged by combining the above factors and parameters; the maternal and fetal heart rate data are continued to be collected and the array is updated, and the abnormality degree parameter threshold of the fetal heart rate data is set, and whether the collected fetal heart rate data is abnormal is judged according to the abnormality degree parameter threshold, and the medical staff is reminded to perform nursing intervention according to the judgment result; the maternal and fetal heart rate data can be continuously and synchronously collected and the abnormality degree of the fetal heart rate can be calculated, the abnormality of the fetal heart rate can be monitored in real time, and the medical staff can be reminded in time to intervene or provide care. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 A flowchart of the steps of the method for optimizing nursing care in delivery room and operating room based on data analysis of the present invention; Figure 2 It is a structural block diagram of the delivery room and operating room nursing optimization system based on data analysis of the present invention. DETAILED DESCRIPTION

[0018] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of the specific implementation method, structure, features and effects of the delivery room and operating room nursing optimization method based on data analysis proposed by the present invention in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0019] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0020] The specific scheme of the method for optimizing nursing in delivery room and operating room based on data analysis provided by the present invention is described in detail below with reference to the accompanying drawings.

[0021] See also Figure 1 , which shows the first object of the present invention, a step flow chart of a method for optimizing delivery room and operating room care based on data analysis, the method comprising the following steps: Step S001: Collect maternal and fetal heart rate data and store the heart rate data in a maternal heart rate array and a fetal heart rate array respectively, to obtain continuous fetal heart rate data and maternal heart rate data.

[0022] It should be noted that, since the heart rates of different mothers and fetuses are different, this step requires collecting the heart rate data of the mother and fetus for comparative analysis of the abnormal states of the mother and fetus heart rates.

[0023] Specifically, the maternal and fetal heart rate data are collected and the heart rate data are stored in the maternal heart rate array and the fetal heart rate array respectively, and continuous fetal heart rate data and maternal heart rate data are obtained. The specific method is as follows: a fetal heart rate monitor and a heart rate monitor are arranged, and the fetal and maternal heart rates are collected respectively using the fetal heart rate monitor and the heart rate monitor, the collection time interval is P seconds, the number of collections is B times, and the collected fetal heart rate and maternal heart rate are stored in the fetal heart rate array and the maternal heart rate array respectively according to the collection sequence, so as to obtain continuous fetal heart rate data and maternal heart rate data.

[0024] It should be noted that, in this embodiment, the time interval P for collecting heart rate data is 5 seconds, and the number of collections is 1000 times. This embodiment does not limit the time interval and number of collections for collecting heart rate data, and other embodiments may be determined based on specific implementation circumstances.

[0025] Step S002: Obtain the fluctuation error factor of each heart rate data of the fetus according to the relative size of each heart rate data of the mother and each heart rate data of the fetus; obtain the confidence factor of each heart rate data of the fetus according to the continuous change of the fluctuation error factor of each heart rate data of the fetus; obtain the abnormality factor of each heart rate data of the mother according to the fluctuation of the difference between the heart rate data value of the mother at a certain moment and the heart rate data value of the mother at a previous moment and the difference between the heart rate data values ​​of all adjacent heart rate data of the mother before this moment; obtain the abnormality degree parameter of each heart rate data of the fetus according to the fluctuation error factor of each heart rate data of the fetus, the confidence factor of each heart rate data of the fetus and the abnormality factor of each heart rate data of the mother.

[0026] It should be noted that the traditional method of judging whether the fetal heart rate is abnormal is to compare the general range of fetal heart rate changes with the actual range of fetal heart rate changes. However, judging whether the fetal heart rate is abnormal based on a fixed heart rate change range is not accurate enough because the fetal heart rate will be affected by the maternal heart rate.

[0027] It should be further explained that this step requires judging whether the fetal heart rate fluctuation is abnormal based on the fluctuation pattern and trend of the maternal heart rate. This can to a certain extent avoid the fetal heart rate being misjudged as abnormal due to the maternal emotional changes causing the maternal heart rate to be higher or lower and affecting the fetal heart rate.

[0028] Specifically, the fluctuation error factor of each heart rate data of the fetus is obtained according to the relative size of each heart rate data of the parturient and each heart rate data of the fetus. The specific method is as follows: In the formula, represents the fluctuation error factor of the u-th heart rate data of the fetus, Indicates the value of the u-th heart rate data of the fetus, represents the value of the u-th heart rate data of the parturient, B represents the number of times the heart rate data is collected, represents the value of the fetal heart rate data of the ith time. Represents the value of the i-th heart rate data of the parturient.

[0029] It should be noted that the fluctuation error factor of each fetal heart rate data is obtained according to the above method. The closer it is to 1, the smaller the difference between the u-th heart rate data of the fetus and the u-th heart rate data of the mother. The closer it is to the average difference between all fetal heart rate data and maternal heart rate data, the more normal the fetal heart rate data is. The smaller it is, the more normal the fetal heart rate data is, that is, The smaller it is, the more normal the fetal heart rate is.

[0030] It should be further explained that the above steps obtain the fluctuation error factor of each fetal heart rate data based on the relative size of the fetal heart rate data and the maternal heart rate data. However, since the fetal heart rate may fluctuate accidentally, abnormal values ​​may appear in the data at certain times. Such accidental fluctuations may cause the system to misjudge and identify normal heart rate data as abnormal, thereby misleading medical staff to take unnecessary intervention measures and wasting medical resources. Normal or abnormal fetal heart rate is generally persistent. Therefore, if the abnormality of the fetal heart rate data at this moment is relatively stable, the fetal heart rate data at this moment is relatively close to the actual situation. Therefore, this step needs to set a number set with a length of E for storing continuous fetal heart rate data values. In this embodiment, the length of the number set is 10. This embodiment does not specifically limit the length of the number set, but it is necessary to ensure that the length of the number set is less than or equal to the number of times the heart rate data is collected B.

[0031] Specifically, according to the continuous change of the fluctuation error factor of each heart rate data of the fetus, the confidence factor of each heart rate data of the fetus is obtained. The specific method is as follows: a number set of a preset length E is filled with the fluctuation error factor of the heart rate data of the fetus, wherein the fluctuation error factor of the last heart rate data of the fetus in the number set is the fluctuation error factor of the u-th heart rate data of the fetus, and the confidence factor of the u-th heart rate data of the fetus is obtained according to the fluctuation error factors of all the heart rate data of the fetus in the number set. The specific formula is as follows: In the formula, represents the confidence factor of the u-th heart rate data of the fetus, E represents the length of the data set, represents the fluctuation error factor of the jth heart rate data of the fetus, The number set whose end is the number set of the j-th heart rate data fluctuation error factor of the fetus is the mean of all the heart rate data fluctuation error factors of the fetus. The number set represents the mean of all the heart rate data fluctuation error factors after removing the j-th fetal heart rate data fluctuation error factor in the number set whose end is the fetal heart rate data fluctuation error factor, and j represents the sequence of the first fetal heart rate data fluctuation error factor in the number set; when the confidence factor of the u-th fetal heart rate data is calculated, the number set is cleared and the number set length remains unchanged.

[0032] It should be noted that, according to the above method, the confidence factor of each fetal heart rate data is obtained. The smaller it is, it means that in the number set with the j-th fetal heart rate data fluctuation error factor at the end of the number set, the degree of deviation of the fluctuation error factors of all fetal heart rate data excluding the fetal heart rate data at the end of the number set from the mean is closer to the degree of deviation of the fluctuation error factors of all fetal heart rate data in the number set from the mean, and the fluctuation error factor of the fetal heart rate data at the end of the number set is closer to the general level of the fluctuation error factor of the fetal heart rate data, that is, the smaller the confidence factor of the u-th fetal heart rate data, the higher the confidence of the fluctuation error factor of the u-th fetal heart rate data, and the lower the probability that the heart rate data misleads medical staff.

[0033] It should be further explained that the above calculation and judgment of the fetal heart rate is based on the fetal heart rate and the maternal heart rate. If the maternal heart rate itself is abnormal, the fetal heart rate may also be abnormal. At this time, the abnormal judgment of the fetal heart rate may not be accurate enough. Therefore, this step needs to determine whether the maternal heart rate is abnormal. If the degree of abnormality of the maternal heart rate at a certain moment is higher, the abnormality of the fetal heart rate at that moment is more inaccurate, and the probability of requiring medical staff to intervene and care is higher.

[0034] Specifically, according to the difference between the heart rate data value of the parturient at a certain moment and the heart rate data value of the parturient at the previous moment, and the fluctuation of the difference between the heart rate data values ​​of all adjacent heart rate data of the parturient before the moment, the abnormal factor of each heart rate data of the parturient is obtained. The specific method is as follows: In the formula, Indicates the abnormal factor of the u-th heart rate data of the parturient, Indicates the value of the u-th heart rate data of the parturient. Indicates the value of the u-1 heart rate data of the parturient. Indicates the hth heart rate data value of the parturient. Indicates the h-1th heart rate data value of the parturient.

[0035] It should be noted that, according to the above method, the abnormal factors of each heart rate data of the parturient are obtained. The larger the value is, the more obvious the difference between the u-th heart rate data and the u-1-th heart rate data is compared with all other adjacent heart rate data of the parturient before that. The greater the abnormal factor of the u-th heart rate data of the parturient, the greater the probability that the u-th heart rate data of the parturient is abnormal. The closer it is to 1, it means that the difference between the u-th heart rate data and the u-1-th heart rate data of the parturient is consistent with the difference change characteristics of all other adjacent heart rate data of the parturient before that, and the probability of abnormality of the u-th heart rate data of the parturient is smaller.

[0036] It should be further explained that the above steps obtain the fluctuation error factor of each fetal heart rate data, the confidence factor of each fetal heart rate data and the abnormality factor of each maternal heart rate data. Combining the obtained parameters, the abnormality degree parameter of each fetal heart rate data can be obtained.

[0037] Specifically, according to the fluctuation error factor of each heart rate data of the fetus, the confidence factor of each heart rate data of the fetus and the abnormal factor of each heart rate data of the parturient, the specific method for obtaining the abnormal degree parameter of each heart rate data of the fetus is as follows: In the formula, Indicates the abnormality parameter of the u-th heart rate data of the fetus, represents the fluctuation error factor of the u-th heart rate data of the fetus, represents the confidence factor of the u-th heart rate data of the fetus, Indicates the abnormal factor of the u-th heart rate data of the parturient.

[0038] It should be noted that, according to the above method, the abnormality degree parameter of each fetal heart rate data is obtained. The value 0.01 in the brackets is to prevent the abnormality degree parameter of the fetal heart rate data from being 0 due to the factors and parameters being 0. As can be seen from the above, that is, The smaller it is, the more normal the fetus's uth heart rate is; The smaller it is, the higher the confidence level of the fluctuation error factor of the u-th heart rate data of the fetus; The larger is, the greater the probability that the u-th heart rate data of the parturient is abnormal; so when The bigger, The smaller, The smaller the fetus is, the more abnormal the parameter of the fetal heart rate data is. The larger it is, the higher the probability that the u-th heart rate of the fetus is abnormal, the higher the authenticity of the data, and the greater the probability that medical staff will need to perform nursing intervention.

[0039] Step S003: Continue to collect maternal and fetal heart rate data and update the array, set the abnormality parameter threshold of the fetal heart rate data, determine whether the collected fetal heart rate data is abnormal based on the abnormality parameter threshold, and remind medical staff to perform nursing intervention based on the judgment result.

[0040] It should be noted that the above steps obtain the abnormality degree parameters of each fetal heart rate data. Now it is necessary to preset a heart rate data abnormality degree parameter threshold and judge the subsequently collected maternal heart rate data and fetal heart rate data.

[0041] Continue to collect maternal and fetal heart rate data and update the array, set the threshold value of the abnormal degree parameter of the fetal heart rate data, judge whether the collected fetal heart rate data is abnormal according to the threshold value of the abnormal degree parameter, and remind the medical staff to perform nursing intervention according to the judgment result. The specific method is as follows: use the fetal heart monitor and the heart rate monitor to collect new fetal heart rate and maternal heart rate at the same time, the collection time interval is P seconds, the number of collections is V times, and the maternal and fetal data are collected once each time, and the fetal heart rate array and the maternal heart rate array are updated. The first element in the fetal heart rate array and the maternal heart rate array is deleted, and all the remaining elements in the array are moved forward by one position. Finally, the newly collected fetal heart rate and maternal heart rate data are added to the end of the two arrays respectively, and the abnormal degree parameter of the fetal heart rate data collected each time is calculated according to the maternal heart rate data and the fetal heart rate data in the new array, and the threshold value Q of the fetal heart rate abnormal degree parameter is set, and the abnormal parameter of the fetal heart rate data collected each time is compared with the threshold value Q of the fetal heart rate abnormal degree parameter. If the abnormal parameter of the fetal heart rate data is greater than the threshold value Q of the fetal heart rate data abnormal parameter, the medical staff is reminded to intervene in nursing.

[0042] It should be noted that, in this embodiment, the abnormal parameter threshold of fetal heart rate data is 0.72, and this embodiment does not limit the abnormal parameter threshold of fetal heart rate data.

[0043] See also Figure 2, which shows the second object of the present invention, a structural block diagram of a delivery room and operating room nursing optimization system based on data analysis, the system includes the following modules: a heart rate acquisition module, used to collect maternal and fetal heart rate data and store the heart rate data in a maternal heart rate array and a fetal heart rate array respectively, to obtain continuous fetal heart rate data and maternal heart rate data; a parameter calculation module, used to obtain a fluctuation error factor of each fetal heart rate data according to the relative size of each maternal heart rate data and each fetal heart rate number; according to the continuous change of the fluctuation error factor of each fetal heart rate data, to obtain the confidence factor of each fetal heart rate data; according to the number of maternal heart rate data at a certain moment, The abnormality factor of each heart rate data of the parturient is obtained by comparing the difference between the current value and the value of the maternal heart rate data at the previous moment, and the fluctuation of the difference between the current value and the value of all adjacent heart rate data of the parturient before this moment; the abnormality degree parameter of each heart rate data of the fetus is obtained according to the fluctuation error factor of each heart rate data of the fetus, the confidence factor of each heart rate data of the fetus and the abnormality factor of each heart rate data of the parturient; the collection and early warning module is used to continue to collect the heart rate data of the parturient and the fetus and update the array, set the abnormality degree parameter threshold of the fetal heart rate data, judge whether the collected fetal heart rate data is abnormal according to the abnormality degree parameter threshold, and remind the medical staff to perform nursing intervention according to the judgment result.

[0044] The third object of an embodiment of the present invention is to provide a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned method for optimizing delivery room and operating room care based on data analysis when executing the computer program.

[0045] The fourth object of an embodiment of the present invention is to provide a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned delivery room and operating room care optimization method based on data analysis are implemented.

[0046] This embodiment collects maternal and fetal heart rate data and stores the heart rate data in maternal heart rate array and fetal heart rate array respectively, to obtain continuous fetal heart rate data and maternal heart rate data; collects fetal and maternal heart rate data at the same time, to facilitate synchronous comparison and analysis of abnormalities of maternal and fetal heart rate data; obtains the fluctuation error factor of each fetal heart rate data according to the relative size of each maternal heart rate data and each fetal heart rate number; judges whether the fetal heart rate fluctuation is abnormal according to the fluctuation law and trend of the maternal heart rate, which can avoid the influence of higher or lower maternal heart rate due to changes in maternal mood to a certain extent. The fetal heart rate is affected and the fetal heart rate is misjudged as abnormal; the confidence factor of each fetal heart rate data is obtained according to the continuous change of the fluctuation error factor of each fetal heart rate data; the fetal heart rate may have accidental fluctuations, and the data at certain moments may have abnormal values. Such accidental fluctuations may cause the system to misjudge and identify normal heart rate data as abnormal, thereby misleading medical staff to take unnecessary intervention measures and waste medical resources. This step avoids medical staff from being misled by accidental heart rate data to a certain extent; according to the value of the maternal heart rate data at a certain moment and the value of the maternal heart rate data at the previous moment The difference between the value of the maternal heart rate data and the fluctuation of the difference between the value of the maternal heart rate data before that moment is used to obtain the abnormal factor of each maternal heart rate data; if the maternal heart rate itself is abnormal, the fetal heart rate may also be abnormal, and the abnormal judgment of the fetal heart rate at this time may not be accurate enough. This step determines whether the maternal heart rate is abnormal. If the abnormality of the maternal heart rate at a certain moment is higher, the abnormality of the fetal heart rate at that moment is more inaccurate, and the probability of medical staff intervention and care is higher; according to the fluctuation error factor of each fetal heart rate data, the confidence factor of each fetal heart rate data and the maternal heart rate fluctuation error factor, the confidence factor of each fetal heart rate data and the maternal heart rate fluctuation error factor are used to obtain the abnormal factor of each fetal heart rate data. The abnormal factors of each heart rate data of the mother are obtained, and the abnormal degree parameters of each heart rate data of the fetus are obtained; the abnormal degree of the fetal heart rate is more accurately judged by combining the above factors and parameters; the maternal and fetal heart rate data are continued to be collected and the array is updated, and the abnormal degree parameter threshold of the fetal heart rate data is set, and whether the collected fetal heart rate data is abnormal is judged according to the abnormal degree parameter threshold and the medical staff is reminded to perform nursing intervention according to the judgment result; the maternal and fetal heart rate data can be continuously and synchronously collected and the abnormal degree of the fetal heart rate can be calculated, the abnormality of the fetal heart rate can be monitored in real time, and the medical staff can be reminded in time to intervene or provide care.

[0047] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0048] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0049] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0050] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0051] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for optimizing nursing care in delivery rooms and operating rooms based on data analysis, characterized in that: The method comprises the following steps: collecting maternal and fetal heart rate data and storing the heart rate data in a maternal heart rate array and a fetal heart rate array respectively, obtaining continuous fetal heart rate data and maternal heart rate data; obtaining a fluctuation error factor of each fetal heart rate data according to the relative size of each maternal heart rate data and each fetal heart rate number; obtaining a confidence factor of each fetal heart rate data according to the continuous change of the fluctuation error factor of each fetal heart rate data; obtaining an abnormal factor of each maternal heart rate data according to the difference between the maternal heart rate data value at a certain moment and the maternal heart rate data value at a previous moment, and the fluctuation of the difference between the values ​​of all adjacent maternal heart rate data before the moment; obtaining an abnormal degree parameter of each fetal heart rate data according to the fluctuation error factor of each fetal heart rate data, the confidence factor of each fetal heart rate data and the abnormal factor of each maternal heart rate data; continuing to collect maternal and fetal heart rate data and updating the array, setting a threshold value of a parameter of the abnormal degree of the fetal heart rate data, judging whether the collected fetal heart rate data is abnormal according to the threshold value of the abnormal degree parameter, and reminding medical staff to perform nursing intervention according to the judgment result.

2. The method for optimizing nursing care in delivery room and operating room based on data analysis according to claim 1, characterized in that: The method of collecting maternal and fetal heart rate data and storing the heart rate data in a maternal heart rate array and a fetal heart rate array respectively to obtain continuous fetal heart rate data and maternal heart rate data is as follows: a fetal heart rate monitor and a heart rate monitor are arranged, and the fetal heart rate and the maternal heart rate are collected respectively by using the fetal heart rate monitor and the heart rate monitor, the collection time interval is P seconds, the number of collections is B times, and the collected fetal heart rate and maternal heart rate are stored in the fetal heart rate array and the maternal heart rate array respectively according to the collection sequence to obtain continuous fetal heart rate data and maternal heart rate data.

3. The method for optimizing nursing care in delivery room and operating room based on data analysis according to claim 1, characterized in that: The specific method of obtaining the fluctuation error factor of each heart rate data of the fetus according to the relative size of each heart rate data of the parturient and each heart rate data of the fetus is as follows: In the formula, represents the fluctuation error factor of the u-th heart rate data of the fetus, Indicates the value of the u-th heart rate data of the fetus, represents the value of the u-th heart rate data of the parturient, B represents the number of times the heart rate data is collected, represents the value of the fetal heart rate data of the ith time. Represents the value of the i-th heart rate data of the parturient.

4. The method for optimizing nursing care in delivery room and operating room based on data analysis according to claim 1, characterized in that: The confidence factor of each heart rate data of the fetus is obtained according to the continuous change of the fluctuation error factor of each heart rate data of the fetus. The specific method is as follows: a number set of preset length E is filled with the fluctuation error factor of the heart rate data of the fetus, wherein the fluctuation error factor of the last heart rate data of the fetus in the number set is the fluctuation error factor of the u-th heart rate data of the fetus, and the confidence factor of the u-th heart rate data of the fetus is obtained according to the fluctuation error factors of all the heart rate data of the fetus in the number set. The specific formula is as follows: In the formula, represents the confidence factor of the u-th heart rate data of the fetus, E represents the length of the data set, represents the fluctuation error factor of the jth heart rate data of the fetus, The number set whose end is the number set of the j-th heart rate data fluctuation error factor of the fetus is the mean of all the heart rate data fluctuation error factors of the fetus. In the number set whose end is the j-th fetal heart rate data fluctuation error factor, the mean of all other heart rate data fluctuation error factors after removing the j-th fetal heart rate data fluctuation error factor is represented, and j represents the sequence of the first fetal heart rate data fluctuation error factor in the number set; When the confidence factor of the u-th heart rate data of the fetus is calculated, the data set is cleared and the length of the data set remains unchanged.

5. The method for optimizing nursing care in delivery room and operating room based on data analysis according to claim 1, characterized in that: The abnormal factor of each heart rate data of the parturient is obtained according to the difference between the heart rate data value of the parturient at a certain moment and the heart rate data value of the parturient at the previous moment, and the fluctuation of the difference between the heart rate data values ​​of all adjacent heart rate data of the parturient before the moment, and the specific method is as follows: In the formula, Indicates the abnormal factor of the u-th heart rate data of the parturient, Indicates the value of the u-th heart rate data of the parturient. Indicates the value of the u-1 heart rate data of the parturient. Indicates the hth heart rate data value of the parturient. Indicates the h-1th heart rate data value of the parturient.

6. The method for optimizing nursing care in delivery room and operating room based on data analysis according to claim 1, characterized in that: The specific method for obtaining the abnormal degree parameter of each heart rate data of the fetus according to the fluctuation error factor of each heart rate data of the fetus, the confidence factor of each heart rate data of the fetus and the abnormal factor of each heart rate data of the parturient is as follows: In the formula, Indicates the abnormality parameter of the u-th heart rate data of the fetus, represents the fluctuation error factor of the u-th heart rate data of the fetus, represents the confidence factor of the u-th heart rate data of the fetus, Indicates the abnormal factor of the u-th heart rate data of the parturient.

7. The method for optimizing nursing care in delivery room and operating room based on data analysis according to claim 1, characterized in that: The method continues to collect maternal and fetal heart rate data and update the array, sets a threshold value for the abnormality degree parameter of the fetal heart rate data, determines whether the collected fetal heart rate data is abnormal according to the threshold value for the abnormality degree parameter, and reminds medical staff to perform nursing intervention according to the judgment result. The specific method is as follows: simultaneously use a fetal heart monitor and a heart rate monitor to collect new fetal heart rate and maternal heart rate, the collection time interval is P seconds, the number of collections is V times, and the maternal and fetal data are collected once each time, the fetal heart rate array and the maternal heart rate array are updated, the first element in the fetal heart rate array and the maternal heart rate array is deleted, and all the remaining elements in the array are moved forward by one position, and finally the newly collected fetal heart rate and maternal heart rate data are added to the end of the two arrays respectively, the abnormality degree parameter of the fetal heart rate data collected each time is calculated according to the maternal heart rate data and the fetal heart rate data in the new array, and the threshold value Q of the abnormality degree parameter of the fetal heart rate is set, and the abnormality parameter of the fetal heart rate data collected each time is compared with the threshold value Q of the abnormality degree parameter of the fetal heart rate, and if the abnormality parameter of the fetal heart rate data is greater than the threshold value Q of the abnormality parameter of the fetal heart rate data, the medical staff is reminded to perform intervention nursing.

8. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method for optimizing delivery room and operating room care based on data analysis as described in any one of claims 1 to 7 are implemented.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the delivery room and operating room care optimization method based on data analysis as described in any one of claims 1 to 7 are implemented.

10. The delivery room and operating room nursing optimization system based on data analysis is characterized by: The system includes the following modules: a heart rate acquisition module, which is used to collect maternal and fetal heart rate data and store the heart rate data in a maternal heart rate array and a fetal heart rate array respectively, so as to obtain continuous fetal heart rate data and maternal heart rate data; A parameter calculation module is used to obtain a fluctuation error factor of each heart rate data of the fetus according to the relative size of each heart rate data of the parturient and each heart rate data of the fetus; obtain a confidence factor of each heart rate data of the fetus according to the continuous change of the fluctuation error factor of each heart rate data of the fetus; obtain an abnormality factor of each heart rate data of the parturient according to the fluctuation of the difference between the heart rate data value of the parturient at a certain moment and the heart rate data value of the parturient at a previous moment, and the difference between the values ​​of all adjacent heart rate data of the parturient before that moment; obtain an abnormality degree parameter of each heart rate data of the fetus according to the fluctuation error factor of each heart rate data of the fetus, the confidence factor of each heart rate data of the fetus and the abnormality factor of each heart rate data of the parturient; The collection and warning module is used to continue collecting maternal and fetal heart rate data and update the array, set the parameter threshold of the abnormal degree of fetal heart rate data, judge whether the collected fetal heart rate data is abnormal according to the abnormal degree parameter threshold, and remind medical staff to perform nursing intervention according to the judgment result.

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