Intelligent emergency patient vital sign real-time monitoring method and system

Abstract

The invention provides an intelligent emergency patient vital sign real-time monitoring method and system, and belongs to the technical field of medical care monitoring. The method comprises the steps that multiple vital sign monitoring indexes collected by at least one sensing monitoring device for an emergency patient are acquired; determining at least two to-be-warned indexes according to the difference degree between the multiple vital sign monitoring indexes and the corresponding standard monitoring index values; determining a risk index of the emergency patient based on the real-time monitoring values of the at least two to-be-warned indexes; and when the risk index is greater than a preset risk value, displaying the at least two to-be-warned indexes to the medical staff according to the importance priority. The system comprises a data processing unit, and the data processing unit correspondingly stores N vital sign monitoring indexes by adopting N layers of annular data queues. According to the invention, high-priority processing items can be quickly locked under the emergency treatment condition, and medical personnel can be assisted to quickly take correct and ordered diagnosis measures.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of medical care monitoring, and particularly relates to an intelligent emergency patient vital sign real-time monitoring method and system, an emergency clinical monitoring device for implementing the method, a computer readable storage medium, a computer program product, and an electronic device. BACKGROUND

[0002] As the first line of hospital emergency, the emergency department is responsible for treating all kinds of critically ill patients 24 hours a day. The patients have no plan and the amount of patients is uncertain. The medical needs are urgent, the disease is complex and changes rapidly, and there are many sudden conditions. The working environment of the emergency department makes the related reception and nursing staff in a high-intensity and high-pressure working state for a long time. They not only need to respond quickly to the patient's condition, but also need to bear the role of caregivers and educators. Therefore, compared with other departments, the emergency department is more likely to have nursing deficiencies or improper nursing. The occurrence of nursing deficiencies or improper nursing in the emergency department may lead to an increase in patient complications and mortality, an increase in adverse events such as medication errors, a decline in nursing quality, and other adverse outcomes, which seriously affect patient safety.

[0003] In the emergency state, especially in the emergency critical state, various advanced physiological monitors are usually configured for emergency patients to monitor and collect various vital sign monitoring indicators, including blood oxygen, heart rate, electrocardiogram, etc., thereby continuously generating a large amount of time series data. When one or more monitoring indicators are abnormal, the device generates an alarm signal to prompt the nursing staff to handle it. When the patient's condition is complex and multiple alarm indicators appear at the same time, the superposition of factors such as rapid changes in sudden conditions, high-intensity, and high-pressure working conditions may cause the nursing staff to be overwhelmed, and thus lead to incorrect nursing decisions. For this reason, some improvement schemes have been proposed in the prior art, for example, the emergency ICU ward monitoring data processing system based on big data proposed in Chinese patent application No. CN2025100674002 can help medical staff more accurately judge the patient's condition and develop more accurate treatment plans; the quality control analysis method in the emergency process proposed in Chinese patent application No. CN2024107616605 can input patient medical record data into a pre-established quality control prediction model for risk prediction, and output process optimization data for optimizing the emergency process after outputting the quality control risk prediction result.

[0004] In practical applications, the results given by the above-mentioned prior art are not intuitive enough and have poor operability. In the face of multiple monitoring indicators and multiple alarm indicators, an improved scheme is needed that can quickly lock high-priority processing items in an emergency state and assist medical staff in quickly taking correct and orderly diagnostic measures. SUMMARY

[0005] In view of the above technical problems, the present application provides an intelligent emergency patient vital sign real-time monitoring method and system, an emergency clinical monitoring device for implementing the method, a computer readable storage medium, a computer program product, and an electronic device.

[0006] In a first aspect of the present application, an intelligent emergency patient vital sign real-time monitoring method is provided, which is implemented based on at least one sensing monitoring device;

[0007] The method comprises the following steps:

[0008] Obtaining a plurality of vital sign monitoring indicators collected by the at least one sensing monitoring device for the emergency patient;

[0009] Determining at least two warning indicators according to the difference between the plurality of vital sign monitoring indicators and the corresponding standard monitoring indicator values;

[0010] Determining a risk index of the emergency patient based on the real-time monitoring values of the at least two warning indicators;

[0011] When the risk index is greater than a preset risk value, displaying the at least two warning indicators to medical staff according to an importance priority; the importance priority is determined based on the difference.

[0012] When the risk index is greater than a preset risk value, determining the correlation of the at least two warning indicators and displaying the correlation to the medical staff;

[0013] The plurality of vital sign monitoring indicators comprises a first vital sign monitoring indicator;

[0014] The first vital sign monitoring indicator corresponds to a first standard monitoring indicator value;

[0015] Determining whether to take the first vital sign monitoring indicator as the warning indicator based on the difference between the preset statistical value of the plurality of first vital sign monitoring indicators collected by the sensing monitoring device for the emergency patient within a preset time period and the first standard monitoring indicator value.

[0016] The at least two warning indicators comprise a first warning indicator and a second warning indicator;

[0017] The correlation of the two warning indicators comprises one of the following: the first warning indicator triggers the second warning indicator; or, the second warning indicator triggers the first warning indicator; or, the first warning indicator is independent of the second warning indicator.

[0018] When the risk index is greater than a preset risk value, displaying the correlation of the at least two warning indicators to medical staff, specifically comprising:

[0019] When the association relationship is that the first to-be-alerted index triggers the second to-be-alerted index, the medical staff is prompted to first handle the first to-be-alerted index;

[0020] When the association relationship is that the second to-be-alerted index triggers the first to-be-alerted index, the medical staff is prompted to first handle the second to-be-alerted index;

[0021] When the association relationship is that the first to-be-alerted index is independent of the second to-be-alerted index, the medical staff is prompted to handle the first to-be-alerted index and the second to-be-alerted index according to an importance priority.

[0022] In a second aspect of the present application, an intelligent emergency patient vital sign real-time monitoring system is provided, which comprises a data acquisition unit, a data processing unit and a display unit, and is used to realize the method steps of the first aspect.

[0023] The data acquisition unit acquires N vital sign monitoring indexes of the emergency patient and sends them to the data processing unit, wherein the N vital sign monitoring indexes comprise an i-th vital sign monitoring index; the i-th vital sign monitoring index corresponds to an i-th standard monitoring index value; N is an integer greater than 1; i = 1, 2, …, N;

[0024] The data processing unit uses N layers of ring-shaped data queues to correspondingly store the N vital sign monitoring indexes; the storage space size of a j-th layer of ring-shaped data queues is Dj; j = 1, 2, …, N;

[0025] The data processing unit comprises at least M layers of ring-shaped data queues, and M is greater than N;

[0026] When the j-th layer of ring-shaped data queues is full, the difference degree between the preset statistical value of the plurality of i-th vital sign monitoring indexes stored in the j-th layer of ring-shaped data queues and the i-th standard monitoring index value is calculated, and it is determined whether the i-th vital sign monitoring index is a to-be-alerted index;

[0027] When at least two to-be-alerted indexes are determined, the risk index of the emergency patient is determined based on the real-time monitoring values of the at least two to-be-alerted indexes;

[0028] When the risk index is greater than a preset risk value, the display unit displays the at least two to-be-alerted indexes to the medical staff according to an importance priority; the importance priority is determined based on the difference degree.

[0029] The two to-be-alerted indexes include an a-th vital sign monitoring index and a b-th vital sign monitoring index, the a-th vital sign monitoring index is stored in a first A-layer ring data queue, and the b-th vital sign monitoring index is stored in a first B-layer ring data queue;

[0030] When the risk index is greater than a preset risk value, the data processing unit stores the a-th vital sign monitoring index in a first C-layer ring data queue and stores the b-th vital sign monitoring index in a first D-layer ring data queue;

[0031] A storage space size DC of the first C-layer ring data queue is less than a storage space size DA of the first A-layer ring data queue, and a storage space size DD of the first D-layer ring data queue is less than a storage space size DB of the first B-layer ring data queue.

[0032] When the risk index is greater than a preset risk value, the display unit determines an association relationship of the at least two to-be-alerted indexes and displays the association relationship to the medical staff;

[0033] When the at least two to-be-alerted indexes include a first to-be-alerted index and a second to-be-alerted index, the association relationship of the two to-be-alerted indexes includes one of the following: the first to-be-alerted index triggers the second to-be-alerted index; or the second to-be-alerted index triggers the first to-be-alerted index; or the first to-be-alerted index is independent of the second to-be-alerted index.

[0034] When the risk index is greater than a preset risk value, the display unit determines an association relationship of the at least two to-be-alerted indexes and displays the association relationship to the medical staff;

[0035] When the association relationship is that the first to-be-alerted index triggers the second to-be-alerted index, the medical staff is prompted to first handle the first to-be-alerted index;

[0036] When the association relationship is that the second to-be-alerted index triggers the first to-be-alerted index, the medical staff is prompted to first handle the second to-be-alerted index;

[0037] When the association relationship is that the first to-be-alerted index is independent of the second to-be-alerted index, the medical staff is prompted to handle the first to-be-alerted index and the second to-be-alerted index according to an importance priority.

[0038] In actual application, the specific execution subject of the method can also be various electronic devices, preferably a clinical monitoring device, equipment or virtual machine or physical machine for an emergency department, and can also be integrated into other electronic devices.

[0039] Therefore, in the third aspect of the present application, an emergency clinical monitoring device is provided, the device comprising a processor configured to perform all or part of the steps of the intelligent emergency patient vital sign real-time monitoring method of the first aspect described above.

[0040] The technical solution of the present application first acquires N vital sign monitoring indicators collected by the at least one sensing monitoring device for the emergency patient, and then stores the indicators in N ring data queues; when the ring data queue of a layer is full, the difference between the preset statistical value of the vital sign monitoring indicators stored in the ring data queue of the layer and the corresponding standard monitoring indicator value is calculated to determine whether the vital sign monitoring indicator is a to-be-alerted indicator; when at least two to-be-alerted indicators are determined, the risk index of the emergency patient is determined based on the real-time monitoring values of the at least two to-be-alerted indicators; when the risk index is greater than a preset risk value, the display unit displays the at least two to-be-alerted indicators to medical staff according to the importance priority and / or the correlation relationship. Therefore, the technical solution of the present application can quickly lock high-priority processing matters in an emergency situation, and assist medical staff to quickly take correct and orderly diagnosis measures.

[0041] Further advantages of the present application will be further embodied in detail in the specific embodiment part in combination with the drawings of the specification. BRIEF DESCRIPTION OF DRAWINGS

[0042] In order to more clearly illustrate the technical solutions of the embodiments of the present application or the prior art, the drawings needed in the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor.

[0043] Figure 1 is the main flowchart of the intelligent emergency patient vital sign real-time monitoring method of an embodiment of the present application;

[0044] Figure 2 is a storage structure diagram of the N-layer ring data queue used in the method execution process;

[0045] Figure 3 is a flowchart of data acquisition, storage and processing in the method execution process;

[0046] Figure 4 is a diagram of the correlation relationship of the multiple to-be-alerted indicators displayed by the display unit;

[0047] Figure 5 is a functional unit composition diagram of the intelligent emergency patient vital sign real-time monitoring system of an embodiment of the present application. DETAILED DESCRIPTION

[0048] In the detailed description of the present application, if the embodiments of the related technical solutions involve user-related data, when the embodiments of the present application are applied to specific products or technologies, the user's permission or consent is required, and the collection, use and processing of related data need to comply with relevant laws, regulations and standards of the country and region.

[0049] Referring to Figure 1 , Figure 1 is the main flowchart of the intelligent emergency patient vital sign real-time monitoring method of an embodiment of the present application.

[0050] Figure 1 The execution environment of the method is clinical emergency, and various types of advanced physiological monitors are usually configured for monitoring and collecting various vital sign monitoring indicators of emergency patients, including blood oxygen, heart rate, electrocardiogram, etc., so as to continuously generate a large amount of time series data.

[0051] In various embodiments of the present application, various types of advanced physiological monitors are collectively referred to as "sensing monitoring devices", and "blood oxygen, heart rate, electrocardiogram" and other clinical monitoring indicators (including but not limited to respiratory rate, pulse, blood pressure, skin perfusion pressure, etc.) are collectively referred to as "vital sign monitoring indicators";

[0052] For different vital sign monitoring indicators, there are normal standard values (ranges) in clinical practice. When the normal standard values (ranges) are exceeded, it means that the vital sign monitoring indicator may be abnormal, and corresponding nursing measures need to be taken. In various embodiments of the present application, the normal standard values (ranges) are collectively referred to as "various vital sign monitoring indicators corresponding to standard monitoring indicator values", and when a vital sign monitoring indicator exceeds the normal standard value (range), the device will alarm clinically, and the vital sign monitoring indicator may become an "alarm indicator", which is referred to as a "to-be-alerted indicator" in this embodiment.

[0053] Based on this, Figure 1 The method can be implemented based on at least one sensing monitoring device, including the following steps (for convenience of description, each step is numbered as S1-S4, but the step number is omitted in the drawing):

[0054] S1: acquiring various vital sign monitoring indicators collected by the at least one sensing monitoring device for the emergency patient;

[0055] S2: determining at least two to-be-alerted indicators according to the difference degrees of the various vital sign monitoring indicators and the respective corresponding standard monitoring indicator values;

[0056] S3: determining a risk index of the emergency patient based on real-time monitoring values of the at least two to-be-alerted indicators;

[0057] S4: when the risk index is greater than a preset risk value, displaying the at least two indicators to be alerted to medical staff according to an importance priority; the importance priority is determined based on the difference degree.

[0058] In actual application scenarios, different emergency patients have different emphases on vital sign monitoring indicators, and there are certain differences in quantity and type. For example, for emergency critically ill patients with influenza, the key monitoring data include high fever characteristics (axillary, forehead body temperature monitoring), respiratory rate characteristics (sleep apnea monitor), etc.; for elderly patients with sepsis secondary to chronic critical illness, the key monitoring data include blood routine monitoring data (red blood cell distribution width, blood glucose concentration, etc.) and respiratory rate characteristics. Of course, different patients also have some basic common vital sign monitoring indicators, such as blood pressure, body temperature, etc.

[0059] Generally, N kinds of vital sign monitoring indicators need to be collected for the emergency patient, preferably N≥4.

[0060] For convenience of description, the following embodiments will be introduced by taking the collection of 4 kinds of vital sign monitoring indicators for a certain emergency patient as an example. For other cases where N>4, those skilled in the art can similarly deduce without creative labor, and thus no further description is needed.

[0061] Suppose that the 4 kinds of vital sign monitoring indicators collected for a certain emergency patient are:

[0062] The 1st vital sign monitoring indicator X1; the 2nd vital sign monitoring indicator X2; the 3rd vital sign monitoring indicator X3; and the 4th vital sign monitoring indicator X4;

[0063] The ith vital sign monitoring indicator Xi (i=1, 2, 3, 4) has a corresponding standard monitoring indicator value (range) Xdi;

[0064] For the ith vital sign monitoring indicator Xi (i=1, 2, 3, 4), a plurality of ith vital sign monitoring indicator values Xi1, Xi2, … are sequentially collected by the sensing monitoring device according to a preset collection frequency;

[0065] In one embodiment, Y (Y>2) ith vital sign monitoring indicator values Xi1, Xi2, …XiY within a preset time period can be obtained;

[0066] Then, at least one statistical value XiT (such as maximum value, minimum value, expected value, variance, standard deviation, etc.) of the Y (Y>2) ith vital sign monitoring indicator values Xi1, Xi2, …XiY is calculated,

[0067] Based on the difference between the statistical value XiT and the corresponding standard monitoring indicator value (range) Xdi, it is determined whether the i-th vital sign monitoring indicator is abnormal; if the degree of abnormality is higher than a preset value, the i-th vital sign monitoring indicator is taken as a to-be-alerted indicator.

[0068] Here, "abnormality" means that the statistical value XiT deviates from the corresponding standard monitoring indicator value (range) Xdi; "degree of abnormality" refers to the deviation range, duration, etc. of the statistical value XiT deviating from the corresponding standard monitoring indicator value (range) Xdi. If the deviation range or the deviation duration is greater than a preset value, the i-th vital sign monitoring indicator is taken as a to-be-alerted indicator.

[0069] For each vital sign monitoring indicator, the above process is performed, i.e., the above step S2 is performed: according to the difference between the plurality of vital sign monitoring indicators and the respective corresponding standard monitoring indicator values, at least two to-be-alerted indicators are determined.

[0070] In the above embodiment, in order to obtain at least one statistical value XiT of the i-th vital sign monitoring indicator values Xi1, Xi2, … XiY, a plurality of vital sign monitoring indicator values in "preset time" units are collected. This method is relatively simple to implement, but it is a static unit processing method. When a subsequent vital sign monitoring indicator value appears at risk, the static "preset time" unit of a plurality of vital sign monitoring indicator values is still used to calculate the statistical value, which may cause delay.

[0071] Therefore, for step S2, the present application makes further improved embodiments as follows:

[0072] For the collected N vital sign monitoring indicators, N layers of ring-shaped data queues are used to correspondingly store the N vital sign monitoring indicators.

[0073] Specifically, referring to Figure 2 , Figure 2 A storage structure diagram of the N-layer ring-shaped data queue used in the method execution process is shown.

[0074] Figure 2 In the above embodiment, N=4 is still taken as an example for introduction, i.e., a storage structure diagram of a 4-layer ring-shaped data queue is shown.

[0075] In the above embodiment, Figure 2 In the above embodiment, a 4-layer ring-shaped data queue that diffuses from the inside to the outside is shown.

[0076] Among them, the innermost layer (the first layer) includes 9 storage units, and each storage unit can store a vital sign monitoring indicator value; the 9 storage units are schematically shown as "1-2-3-……—9" in the above embodiment. Figure 2

[0077] ​The secondary inner layer (the second layer) includes 10 storage units, each of which can store a vital sign monitoring index value; the 10 storage units are sequentially stored in the secondary inner layer (the second layer) as "A-B-C-…-I"; Figure 2 The secondary outer layer (the third layer) includes 16 storage units, each of which can store a vital sign monitoring index value; the 16 storage units are sequentially stored in the secondary outer layer (the third layer) as "a-b-c-…-p";

[0078] The secondary outer layer (the third layer) includes 16 storage units, each of which can store a vital sign monitoring index value; the 16 storage units are sequentially stored in the secondary outer layer (the third layer) as "a-b-c-…-p"; Figure 2 The secondary outer layer (the third layer) includes 16 storage units, each of which can store a vital sign monitoring index value; the 16 storage units are sequentially stored in the secondary outer layer (the third layer) as "a-b-c-…-p";

[0079] The outermost layer (the fourth layer) includes 22 storage units, each of which can store a vital sign monitoring index value, and the numbers are not shown, which are assumed to be P1-P2-…P22.

[0080] Under the initial condition, for the ith vital sign monitoring index Xi (i = 1, 2, 3, 4), the sensing monitoring device sequentially acquires a plurality of ith vital sign monitoring index values Xi1, Xi2, …, according to the preset acquisition frequency, and stores them in the plurality of storage units of the ith layer;

[0081] For example, for X4, the acquired X41, X42, X43, … are sequentially stored in the 22 storage units "P1-P2-…" of the outermost layer (the fourth layer) of the 4-layer ring-shaped data queue;

[0082] Since the outermost layer (the fourth layer) includes 22 storage units, when 22 X4 index values are acquired, that is, "X41, X42, X43, … X422", the ring-shaped data queue of the outermost layer (the fourth layer) will be full.

[0083] At this time, the difference between the preset statistical value of the plurality of fourth vital sign monitoring indexes stored in the fourth layer ring-shaped data queue and the fourth standard monitoring index value is calculated, and it is determined whether the fourth vital sign monitoring index is a to-be-alerted index;

[0084] Similarly, for X2, the acquired X21, X22, X23, … are sequentially stored in the 10 storage units "A-B-C-…" of the secondary inner layer (the second layer) of the 4-layer ring-shaped data queue;

[0085] Since the secondary inner layer (the second layer) includes 10 storage units, when 10 X2 index values are acquired, that is, "X21, X22, X23, … X210", the ring-shaped data queue of the secondary inner layer (the second layer) will be full.

[0086] At this time, the difference between the preset statistical value of the plurality of second vital sign monitoring indicators stored in the second layer annular data queue and the second standard monitoring indicator value is calculated, and it is determined whether the second vital sign monitoring indicator is used as a to-be-alerted indicator.

[0087] Similarly, the same applies to X1, X3.

[0088] Of course, in actual application, under the initial condition, X1 does not have to be stored in the first layer, X2 does not have to be stored in the second layer, X3 does not have to be stored in the third layer, and X4 does not have to be stored in the fourth layer.

[0089] Nor does it have to be continuously stored in the first, second, third, and fourth layers.

[0090] Since at least N layers of annular data queues are available, and N kinds of vital sign monitoring indicators are collected, under the initial condition, only N layers of annular data queues are required to store the N kinds of vital sign monitoring indicators, and the storage space size of the jth layer of annular data queue is Dj, j = 1, 2, …, N; and when j is different, Dj takes different values, that is, the storage space sizes of the annular queues at different levels are different. Preferably, the N kinds of vital sign monitoring indicators use N layers of annular queues in M layers of annular data queues, and there are at least (M-N) layers of empty annular data queues.

[0091] For example, when there are 10 layers of annular data queues available, under the initial condition, 4 kinds of vital sign monitoring indicators can be randomly stored in any 4 layers of the 10 layers of annular data queues, and the remaining 6 layers are reserved.

[0092] When the jth layer of annular data queue is full, the difference between the preset statistical value of the plurality of ith vital sign monitoring indicators stored in the jth layer of annular data queue and the ith standard monitoring indicator value is calculated, and it is determined whether the ith vital sign monitoring indicator is used as a to-be-alerted indicator.

[0093] The criteria for the determination are similar to the foregoing, that is, based on the difference between the statistical value XiT and the corresponding standard monitoring indicator value (range) Xdi, it is determined whether the ith vital sign monitoring indicator is abnormal; if the degree of abnormality is higher than a preset value, the ith vital sign monitoring indicator is used as a to-be-alerted indicator.

[0094] However, the improved embodiment here is no longer a single static "preset time" unit of a plurality of vital sign monitoring indicator values, but a dynamically changing storage space. The former may be calculated based on the same number of vital sign monitoring indicator values for different vital sign monitoring indicators, and the latter is calculated based on the full stack of the changing storage space, and dynamic adjustment is performed based on the subsequent risk assessment results, which will be described in subsequent steps.

[0095] That is, entering step S3: determining the risk index of the emergency patient based on the real-time monitoring values of the at least two indicators to be alerted.

[0096] When the at least two indicators to be alerted are determined, the two indicators to be alerted can be used as inputs of a risk prediction model, and the risk index of the current patient is output.

[0097] The risk prediction model here can be various pre-trained diagnostic risk prediction models. There are many models in the prior art that can predict the risk of a patient based on clinical measurement data (such as the related risk scheme mentioned in the background art), and the present application does not expand on this.

[0098] Next, enter step S4: when the risk index is greater than a preset risk value, display the at least two indicators to be alerted to medical staff according to importance priority; the importance priority is determined based on the difference degree.

[0099] Based on the above description, next Figure 3 The flowchart of the data collection, storage, and processing in the execution process of the method is given, which illustrates the advantages of the "storage space full stack based on changes before calculation, and dynamic adjustment based on subsequent risk assessment results" mentioned in the foregoing improved embodiments.

[0100] Specifically, referring to Figure 3 , suppose the currently monitored vital sign monitoring indicators include the a-th vital sign monitoring indicator and the b-th vital sign monitoring indicator;

[0101] At this time, the a-th vital sign monitoring indicator is collected for the emergency patient, and the b-th vital sign monitoring indicator is collected for the emergency patient;

[0102] Then, the a-th vital sign monitoring indicator is stored in the A-th ring-shaped data queue, and the b-th vital sign monitoring indicator is stored in the B-th ring-shaped data queue;

[0103] It can be understood that the A-th and B-th here can be any two levels of ring-shaped data queues of the N-level ring-shaped data queue, and the storage space size (number of storage units) of the A-th ring-shaped data queue and the B-th ring-shaped data queue is different;

[0104] Then, it is determined whether the A-th ring-shaped data queue or the B-th ring-shaped data queue is full;

[0105] When it is full, the statistical value of the first number of a-th vital sign monitoring indicator values currently stored in the A-th ring-shaped data queue is calculated; the statistical value of the second number of b-th vital sign monitoring indicator values currently stored in the B-th ring-shaped data queue is calculated;

[0106] Further, judging the difference degree of the plurality of vital sign monitoring indicators and the respective corresponding standard monitoring indicator values, determining at least two to-be-alerted indicators, that is, judging whether the a-th vital sign monitoring indicator and the b-th vital sign monitoring indicator are to-be-alerted indicators;

[0107] When the at least two to-be-alerted indicators are determined, determining the risk index of the emergency patient based on the real-time monitoring values of the at least two to-be-alerted indicators;

[0108] When the risk index is greater than a preset risk value, the a-th vital sign monitoring indicator is stored in the C-th ring data queue, and the b-th vital sign monitoring indicator is stored in the D-th ring data queue; however, the following condition needs to be met:

[0109] The storage space size DC of the C-th ring data queue is smaller than the storage space size DA of the A-th ring data queue, and the storage space size DD of the D-th ring data queue is smaller than the storage space size DB of the B-th ring data queue; .

[0110] At this time, return to step S1 to continue executing the method.

[0111] It can be seen that when the risk index is greater than the preset risk value, it means that the a-th vital sign monitoring indicator and the b-th vital sign monitoring indicator are indeed indicators that need to be focused on, and therefore, the observation period needs to be shortened. To this end, the improved method of the embodiment is to adjust the storage location, specifically, to store it in a ring queue with a smaller storage space, so that the corresponding vital sign monitoring indicator value can be calculated more quickly.

[0112] For example, assuming that the a-th vital sign monitoring indicator is initially stored in the 3rd layer, 16 values need to be collected before the statistical value of the a-th vital sign monitoring indicator is calculated;

[0113] When the risk index is greater than the preset risk value, it means that the a-th vital sign monitoring indicator needs to be focused on more frequently, and therefore, the a-th vital sign monitoring indicator is stored in the 2nd layer or even the 1st layer in the future, which means that only 10 or 9 values need to be collected before the statistical value of the a-th vital sign monitoring indicator is calculated, thereby avoiding delay. Compared with the single static acquisition processing mode of a plurality of vital sign monitoring indicator values in units of "preset time", the improved embodiment can more quickly adapt to the actual abnormal changes of data and monitoring needs.

[0114] Based on the above improvement, a more preferred method embodiment is as follows:

[0115] S110: Obtain N vital sign monitoring indicators collected by the at least one sensing monitoring device for the emergency patient; the N vital sign monitoring indicators include an i-th vital sign monitoring indicator; the i-th vital sign monitoring indicator corresponds to an i-th standard monitoring indicator value; N is an integer greater than 1; i = 1, 2, …, N;

[0116] S120: Store the N vital sign monitoring indicators in N ring-shaped data queues; the storage space size of a j-th ring-shaped data queue is Dj; j = 1, 2, …, N;

[0117] S130: When the j-th ring-shaped data queue is full, calculate the difference between the preset statistical value of the plurality of i-th vital sign monitoring indicators stored in the j-th ring-shaped data queue and the i-th standard monitoring indicator value, and determine whether the i-th vital sign monitoring indicator is a to-be-alerted indicator; meanwhile, empty the j-th ring-shaped data queue;

[0118] S140: When at least two to-be-alerted indicators are determined, determine a risk index of the emergency patient based on real-time monitoring values of the at least two to-be-alerted indicators;

[0119] S150: When the risk index is greater than a preset risk value, the display unit displays the at least two to-be-alerted indicators to medical staff according to an importance priority;

[0120] S160: When the risk index is greater than a preset risk value, adjust the ring-shaped stack storage position of the to-be-alerted indicator, the storage space of the adjusted ring-shaped stack storage position is smaller than that of the ring-shaped stack storage position before adjustment, and then return to step S110.

[0121] Next, referring to Figure 4 , Figure 4 a schematic diagram showing the correlation relationship of the plurality of to-be-alerted indicators displayed by the display unit.

[0122] Specifically, when the risk index is greater than a preset risk value, the display unit displays the at least two to-be-alerted indicators to medical staff according to an importance priority; the importance priority is determined based on the difference.

[0123] Preferably, when the risk index is greater than a preset risk value, the correlation relationship of the at least two to-be-alerted indicators is determined, and the correlation relationship is displayed to the medical staff.

[0124] The at least two to-be-alerted indicators include a first to-be-alerted indicator and a second to-be-alerted indicator;

[0125] The association relationship of the two to-be-alerted indexes comprises one of the following: the first to-be-alerted index triggers the second to-be-alerted index; or the second to-be-alerted index triggers the first to-be-alerted index; or the first to-be-alerted index is independent of the second to-be-alerted index.

[0126] When the risk index is greater than the preset risk value, the association relationship of the at least two to-be-alerted indexes is displayed to the medical staff, and specifically comprises:

[0127] When the association relationship is that the first to-be-alerted index triggers the second to-be-alerted index, the medical staff is prompted to first handle the first to-be-alerted index;

[0128] When the association relationship is that the second to-be-alerted index triggers the first to-be-alerted index, the medical staff is prompted to first handle the second to-be-alerted index;

[0129] When the association relationship is that the first to-be-alerted index is independent of the second to-be-alerted index, the medical staff is prompted to handle the first to-be-alerted index and the second to-be-alerted index according to the importance priority.

[0130] Figure 4 Further, the possible display cases in the case of three to-be-alerted indexes are shown.

[0131] In Figure 4 , the method screens three to-be-alerted indexes A, B and C, and the association relationship among them can be displayed as:

[0132] (1) The to-be-alerted index A triggers the to-be-alerted index B, and the to-be-alerted index B triggers the to-be-alerted index C. Therefore, the highest priority is the to-be-alerted index A, and the display unit will remind the nursing staff to first handle the to-be-alerted index A; then, based on the next step, the to-be-alerted index B and the to-be-alerted index C are handled; ideally, if the to-be-alerted index A is controlled, it can be unnecessary to continue to handle the to-be-alerted index B or C, because the subsequent two indexes are also based on stability;

[0133] (2) The to-be-alerted index A triggers the to-be-alerted index B and the to-be-alerted index C, and the to-be-alerted index B can also trigger the to-be-alerted index C;

[0134] Therefore, the highest priority is the to-be-alerted index A, and the display unit will remind the nursing staff to first handle the to-be-alerted index A; then, based on the next step, the to-be-alerted index B and the to-be-alerted index C are handled; ideally, if the to-be-alerted index A is controlled, it can be unnecessary to continue to handle the to-be-alerted index B or C, because the subsequent two indexes are also based on stability;

[0135] Of course, there are also extreme cases where the indicators are completely unrelated and independent of each other, in which case the priority needs to be determined according to the difference degree of each indicator, and the greater the difference degree, the higher the priority.

[0136] The above describes different types of method embodiments and more improved embodiments. Based on the method embodiments, Figure 5 The functional unit composition diagram of the intelligent emergency patient vital sign real-time monitoring system according to an embodiment of the present application is shown.

[0137] The system comprises a data acquisition unit, a data processing unit and a display unit, for realizing the method steps of the first aspect.

[0138] The data acquisition unit acquires N vital sign monitoring indicators for the emergency patient and sends them to the data processing unit, the N vital sign monitoring indicators include the i-th vital sign monitoring indicator; the i-th vital sign monitoring indicator corresponds to the i-th standard monitoring indicator value; N is an integer greater than 1; i = 1, 2, …, N;

[0139] The data processing unit uses N layers of ring-shaped data queues to correspondingly store the N vital sign monitoring indicators; the storage space size of the j-th layer of ring-shaped data queues is Dj; j = 1, 2, …, N;

[0140] The data processing unit comprises at least M layers of ring-shaped data queues, and M is greater than N;

[0141] The data processing unit uses N layers of ring-shaped data queues in the M layers of ring-shaped data queues to correspondingly store the N vital sign monitoring indicators;

[0142] When the j-th layer of ring-shaped data queues is full, the difference degree between the preset statistical value of the plurality of i-th vital sign monitoring indicators stored in the j-th layer of ring-shaped data queues and the i-th standard monitoring indicator value is calculated, and it is determined whether the i-th vital sign monitoring indicator is a to-be-alerted indicator;

[0143] Then, the j-th layer of ring-shaped data queues is emptied;

[0144] Preferably, the data queue is emptied once every time the j-th layer of ring-shaped data queues is full, so as to continue storing data next time.

[0145] When at least two to-be-alerted indicators are determined, the risk index of the emergency patient is determined based on the real-time monitoring values of the at least two to-be-alerted indicators;

[0146] When the risk index is greater than a preset risk value, the display unit displays the at least two to-be-alerted indicators to medical staff according to an importance priority; the importance priority is determined based on the difference degree.

[0147] The two indicators to be alerted include a first vital sign monitoring indicator and a second vital sign monitoring indicator, the first vital sign monitoring indicator is stored in a first A-layer ring data queue, and the second vital sign monitoring indicator is stored in a first B-layer ring data queue;

[0148] When the risk index is greater than a preset risk value, the data processing unit stores the first vital sign monitoring indicator in a first C-layer ring data queue and stores the second vital sign monitoring indicator in a first D-layer ring data queue;

[0149] A storage space size DC of the first C-layer ring data queue is less than a storage space size DA of the first A-layer ring data queue, and a storage space size DD of the first D-layer ring data queue is less than a storage space size DB of the first B-layer ring data queue; .

[0150] When the risk index is greater than a preset risk value, the display unit determines a correlation between the at least two indicators to be alerted and displays the correlation to the medical staff;

[0151] When the at least two indicators to be alerted include a first indicator to be alerted and a second indicator to be alerted, the correlation between the two indicators to be alerted includes one of the following: the first indicator to be alerted triggers the second indicator to be alerted, or the second indicator to be alerted triggers the first indicator to be alerted, or the first indicator to be alerted is independent of the second indicator to be alerted.

[0152] When the risk index is greater than a preset risk value, the display unit determines a correlation between the at least two indicators to be alerted and displays the correlation to the medical staff;

[0153] When the correlation is that the first indicator to be alerted triggers the second indicator to be alerted, the medical staff is prompted to first handle the first indicator to be alerted;

[0154] When the correlation is that the second indicator to be alerted triggers the first indicator to be alerted, the medical staff is prompted to first handle the second indicator to be alerted;

[0155] When the correlation is that the first indicator to be alerted is independent of the second indicator to be alerted, the medical staff is prompted to handle the first indicator to be alerted and the second indicator to be alerted according to an importance priority.

[0156] In actual application, the specific execution subject of the method can also be various electronic devices, preferably a clinical monitoring device, equipment or virtual machine or physical machine for an emergency department, and can also be integrated into other electronic devices.

[0157] Therefore, although not shown in the drawings, more embodiments can also be implemented as an emergency clinical monitoring device, which includes a processor for executing all or part of the steps of the aforementioned intelligent real-time monitoring method for vital signs of emergency patients.

[0158] The aforementioned intelligent real-time monitoring method for vital signs of emergency patients can also be connected to a cloud resource platform through various forms of electronic devices and automatically implemented through computer program instructions; the computer program instructions can be stored in different forms of storage media and loaded into computer electronic devices for execution.

[0159] Therefore, more embodiments also provide a non-volatile computer-readable storage medium for storing computer instructions, which, when executed on an electronic device, enables the electronic device to execute all or part of the steps of the aforementioned intelligent real-time monitoring method for vital signs of emergency patients.

[0160] More embodiments also include a computer device, which includes a processor and a memory, wherein the memory is used to store instructions, and the processor is used to call the instructions in the memory, so that the computer device executes the aforementioned intelligent real-time monitoring method for vital signs of emergency patients.

[0161] More embodiments also include a computer program product, which includes a computer program. When the computer program is executed, all or part of the steps of the aforementioned intelligent real-time monitoring method for vital signs of emergency patients are implemented.

[0162] The present invention first obtains N kinds of vital sign monitoring indicators collected by the at least one sensor monitoring device for the emergency patient, and stores them in N layers of circular data queues accordingly; when the circular data queue of a certain layer is full, the difference between the preset statistical values ​​of the multiple vital sign monitoring indicators stored in the circular data queue of this layer and the corresponding standard monitoring indicator values ​​is calculated, so as to determine whether the vital sign monitoring indicator should be used as an indicator to be warned; when at least two indicators to be warned are determined, the risk index of the emergency patient is determined based on the real-time monitoring values ​​of the at least two indicators to be warned; when the risk index is greater than the preset risk value, the display unit displays the at least two indicators to be warned to the medical staff according to the importance priority and / or correlation relationship. Therefore, the technical solution of the present invention can quickly lock high-priority processing matters in emergency situations, and assist medical staff to quickly take correct and orderly diagnostic measures.

[0163] For other technologies, principles, algorithms or models not elaborated in detail in this application, please refer to the existing technology.

[0164] In the foregoing embodiment section, the present application gives a plurality of embodiments, each of which can constitute an independent technical scheme and can make a contribution to the prior art and solve the corresponding technical problems. However, it needs to be pointed out that different embodiments can be combined with each other without violating the logic; at the same time, each embodiment can solve at least one technical problem, but it does not require each individual embodiment to solve multiple or all technical problems.

[0165] The method embodiments and system of the present application have been shown and described in the foregoing, but it can be understood by those of ordinary skill in the art that various changes, modifications, replacements and variations can be made to these embodiments without departing from the principles and spirits of the present application, and the scope of the present application is defined by the appended claims and their equivalents.

Claims

1. An intelligent real-time monitoring method for vital signs of emergency patients, the method is implemented based on at least one sensor monitoring device, characterized in that: The method comprises the following steps: Obtaining multiple vital sign monitoring indicators collected by the at least one sensor monitoring device for the emergency patient; Determining at least two indicators to be warned based on the differences between the multiple vital sign monitoring indicators and their corresponding standard monitoring indicator values; Determining a risk index for the emergency patient based on real-time monitoring values ​​of the at least two indicators to be warned; When the risk index is greater than a preset risk value, the at least two indicators to be warned are displayed to medical staff according to the importance priority; the importance priority is determined based on the difference.

2. The intelligent real-time monitoring method for vital signs of emergency patients according to claim 1, characterized in that: When the risk index is greater than a preset risk value, the correlation between the at least two indicators to be warned is determined, and the correlation is displayed to the medical staff.

3. The intelligent real-time monitoring method for vital signs of emergency patients according to claim 1, characterized in that: The multiple vital sign monitoring indicators include a first vital sign monitoring indicator; The first vital sign monitoring indicator corresponds to a first standard monitoring indicator value; Based on the difference between the preset statistical values ​​of multiple first vital sign monitoring indicators collected by the sensor monitoring equipment for the emergency patient within a preset time period and the first standard monitoring indicator value, it is determined whether to use the first vital sign monitoring indicator as the indicator to be warned.

4. The intelligent real-time monitoring method for vital signs of emergency patients according to claim 2, characterized in that: The at least two indicators to be warned include a first indicator to be warned and a second indicator to be warned; The association relationship between the two indicators to be warned includes one of the following: the first indicator to be warned triggers the second indicator to be warned; or the second indicator to be warned triggers the first indicator to be warned; or the first indicator to be warned is independent of the second indicator to be warned.

5. The intelligent real-time monitoring method for vital signs of emergency patients according to claim 4, characterized in that: When the risk index is greater than a preset risk value, the association relationship between the at least two indicators to be warned is displayed to medical personnel, specifically including: When the association relationship is that the first indicator to be warned triggers the second indicator to be warned, prompting the medical staff to first handle the first indicator to be warned; When the association relationship is that the second indicator to be warned triggers the first indicator to be warned, prompting the medical staff to first handle the second indicator to be warned; When the association relationship is that the first indicator to be warned is independent of the second indicator to be warned, the medical staff is prompted to handle the first indicator to be warned and the second indicator to be warned according to the priority of importance.

6. An intelligent real-time monitoring system for vital signs of emergency patients, comprising a data acquisition unit, a data processing unit, and a display unit, characterized in that: The data collection unit collects N types of vital sign monitoring indicators for the emergency patient and sends them to the data processing unit, wherein the N types of vital sign monitoring indicators include an i-th vital sign monitoring indicator; the i-th vital sign monitoring indicator corresponds to an i-th standard monitoring indicator value; N is an integer greater than 1; i=1, 2, ..., N; The data processing unit uses N layers of circular data queues to store the N types of vital sign monitoring indicators; the storage space size of the j-th layer of circular data queue is Dj; j=1, 2, ..., N; When the j-th layer circular data queue is full, calculate the difference between the preset statistical values ​​of the plurality of i-th vital sign monitoring indicators stored in the j-th layer circular data queue and the i-th standard monitoring indicator value, and determine whether to use the i-th vital sign monitoring indicator as an indicator to be warned; When at least two indicators to be warned are determined, determining the risk index of the emergency patient based on the real-time monitoring values ​​of the at least two indicators to be warned; When the risk index is greater than a preset risk value, the display unit displays the at least two indicators to be warned to the medical staff according to the importance priority; the importance priority is determined based on the difference.

7. The intelligent real-time monitoring system for vital signs of emergency patients according to claim 6, characterized in that: The two indicators to be warned include the ath vital sign monitoring indicator and the bth vital sign monitoring indicator, the ath vital sign monitoring indicator is stored in the A-layer circular data queue, and the bth vital sign monitoring indicator is stored in the B-layer circular data queue; When the risk index is greater than the preset risk value, the data processing unit uses the C-th layer circular data queue to store the a-th vital sign monitoring indicator, and uses the D-th layer circular data queue to store the b-th vital sign monitoring indicator; The storage space size DC of the C-th layer circular data queue is smaller than the storage space size DA of the A-th layer circular data queue; the storage space size DD of the D-th layer circular data queue is smaller than the storage space size DB of the B-th layer circular data queue.

8. The intelligent real-time monitoring system for vital signs of emergency patients according to claim 6, characterized in that: When the risk index is greater than a preset risk value, the display unit determines a correlation between the at least two indicators to be warned, and displays the correlation to the medical staff; When the at least two indicators to be warned include a first indicator to be warned and a second indicator to be warned, the association relationship between the two indicators to be warned includes one of the following: the first indicator to be warned triggers the second indicator to be warned; or, the second indicator to be warned triggers the first indicator to be warned; or, the first indicator to be warned is independent of the second indicator to be warned.

9. The intelligent real-time monitoring system for vital signs of emergency patients according to claim 8, characterized in that: When the risk index is greater than a preset risk value, the association relationship between the at least two indicators to be warned is displayed to medical personnel, specifically including: When the association relationship is that the first indicator to be warned triggers the second indicator to be warned, prompting the medical staff to first handle the first indicator to be warned; When the association relationship is that the second indicator to be warned triggers the first indicator to be warned, prompting the medical staff to first handle the second indicator to be warned; When the association relationship is that the first indicator to be warned is independent of the second indicator to be warned, the medical staff is prompted to handle the first indicator to be warned and the second indicator to be warned according to the priority of importance.

10. An emergency clinical monitoring device, characterized in that: The device includes a processor configured to execute the intelligent real-time monitoring method for vital signs of emergency patients according to any one of claims 1 to 5.

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