Emergency treatment data docking and transmission system

Abstract

The invention discloses an emergency treatment data docking and transmission system, and relates to the field of medical data acquisition, the main scheme is that a hospital matching index HHb is calculated according to hospital data, and the problems that hospital resources are insufficient and patient treatment is affected due to the fact that only distance is considered are solved; the data transmission sequence of the patients is determined according to the illness criticality of the patients, and when different patients are in the same illness criticality and the illness criticality indexes XAa of the patients are equal, the data transmission sequence of the patients is determined according to the timeliness sensitivity indexes XBa. The key data of critical patients may be delayed by the data of patients with relatively light illness conditions, so that the optimal treatment opportunity is delayed.

Description

Technical Field

[0001] The present invention relates to the technical field of medical data collection, and in particular to an emergency first aid data docking and transmission system. Background Art

[0002] In the field of emergency centers, an emergency first aid data docking and transmission system is used to transmit the patient's vital signs, first aid videos, etc. in the ambulance to the emergency center and receiving hospital in real time, which can improve the timeliness and accuracy of information acquisition and optimize the emergency process and preparation work.

[0003] The traditional emergency first aid data docking and transmission method selects the hospital closest to the patient as the emergency hospital, and transmits data based on the first-come, first-served principle. Specifically, in the emergency first aid scenario, whether it is the data collected at the emergency site or the data generated by various departments of the hospital, as long as it is generated first and enters the data docking and transmission system, it will be given priority processing and transmission.

[0004] The existing technology still has the following shortcomings: the hospital is selected based on a single factor such as distance, without considering the overall resource status of the hospital. It may happen that the hospital resources are insufficient due to only considering the distance, which affects the treatment of patients. At the same time, in emergency first aid scenarios, the severity of patients' conditions and vital signs vary greatly. For example, different environmental conditions, such as extreme temperatures, abnormal humidity or the presence of harmful chemicals, will have a significant impact on the patient's condition, thereby affecting the patient's survival rate and recovery quality. If data is transmitted on a first-come, first-served basis instead of according to the patient's actual situation, the key data of critically ill patients may be delayed by the data of patients with relatively mild conditions, making it impossible for doctors to obtain information about critically ill patients in a timely manner, delaying the best time for treatment. Summary of the invention

[0005] 1. Technical issues to be resolved In view of the shortcomings of the prior art, the present invention provides an emergency first aid data docking and transmission system, which calculates the hospital matching index HH according to the hospital data b , which solves the problem of insufficient hospital resources and affecting patient treatment due to only considering distance; determines the order of patient data transmission according to the severity of the patient's condition, and a When they are equal, according to the timeliness sensitivity index XB a Determining the order in which patient data is transmitted solves the problem that transmission based on a first-come, first-served principle may cause the key data of critically ill patients to be delayed by the data of patients with relatively milder conditions, thereby delaying the best time for treatment.

[0006] (II) Technical solution To achieve the above objectives, the present invention is implemented through the following technical solutions: an emergency first aid data connection and transmission system, comprising: The emergency hospital judgment module can calculate the hospital matching index HH based on hospital data b , and select all hospital matching indicators HH b The hospital corresponding to the maximum value in sends emergency personnel to provide first aid to the patient; The disease diagnosis module can calculate the vital signs index AD based on the vital signs data a and blood lactate index AE a , calculate the environmental index AF based on environmental data a , according to the vital signs index AD a , blood lactate index AE a and environmental index AF a Calculate the patient's severity index XA a ; Preset the criticality threshold set; According to the patient's criticality index XA a and a severity threshold set to determine the severity of the patient's condition; The docking hospital recalculation module can obtain the docking data of patients with high-risk conditions and different hospitals, and calculate the docking index HW based on the docking data b ; and determine the corresponding hospitals for patients with different critical conditions; The data transmission module can determine the patient data transmission order according to the severity of the patient's condition; when different patients are in the same severity and the patient's severity index XA a When they are equal, the patient's transmission data is collected and the timeliness sensitivity index XB is calculated based on the transmission data. a , and according to the timeliness sensitivity index XB a Arrange the transmission order.

[0007] In the above preferred solution of the emergency first aid data connection and transmission system: the emergency hospital determination module includes a first monitoring unit and a connection hospital determination unit: The first monitoring unit is used to collect hospital data from various hospitals with emergency care qualifications when a patient needs emergency care; Hospital data including the distance of the hospital to the emergency patient HA b , Number of idle doctors HB b 、Total number of doctors HC b 、Number of available wards HD b Total number of wards b , Number of idle rescue equipment HF b and the total number of rescue equipment HG b ; The hospital judgment unit is used to calculate the hospital matching index HH based on the hospital datab , the formula based on is:

[0008] Among them, HH b is the hospital matching index of the bth hospital, b is the serial number corresponding to different hospitals, and its value is a positive integer; HA b HB is the distance between the bth hospital and the emergency patient; b is the number of idle doctors in the bth hospital; HC b is the total number of doctors in the bth hospital; HD b is the number of vacant wards in the bth hospital; HE b is the total number of wards in the bth hospital; HF b is the number of idle rescue equipment in the bth hospital; HG b is the total number of rescue equipment in the bth hospital; Select all hospitals matching indicator HH b The hospital corresponding to the maximum value in provides emergency treatment to the patient.

[0009] In the preferred embodiment of the emergency data connection and transmission system, the condition determination module includes a second monitoring unit, a physical condition evaluation unit, an environment evaluation unit and a condition determination unit. The second monitoring unit can collect the patient's vital signs data and environmental data after the emergency personnel arrive at the patient's site; the physical state assessment unit is used to calculate the vital signs index AD a and blood lactate index AE a ; Environmental assessment unit is used to calculate the environmental index AF a ; The condition judgment unit is used to calculate the patient's condition severity index XA a , and determine the severity of the patient's condition.

[0010] In the preferred solution of the above-mentioned emergency data connection and transmission system: calculating the vital signs index AD a and blood lactate index AE a The method is: Vital signs data including patient temperature AA a , patient's blood oxygen saturation AB a 、Patient pulse pressure AC a 、Normal body temperature range [AA min , A.A. max ]、Normal blood oxygen saturation range [AB min , A.B. max ] and normal pulse pressure range [AC min , A.C. max ]; Connect to the hospital judgment unit to calculate the vital signs index AD based on vital signs data a , the formula based on is: ; Among them, AD a is the vital sign index of the ath patient; a is the serial number corresponding to different patients, and its value is a positive integer; AA a is the body temperature value of the ath patient; AB a is the blood oxygen saturation of the ath patient; AC a is the pulse pressure value of the ath patient; Vital sign data also includes the patient's blood lactate value BA a ; According to the patient's blood lactate value BA a Calculation of blood lactate index AE a , the formula based on is:

[0011] Among them, BA a is the blood lactate value of the ath patient.

[0012] In the preferred solution of the above-mentioned emergency data connection and transmission system: calculating the environmental index AF a The method is: Environmental data including emergency scene temperature value CA a , Humidity value CB at the emergency scene a , Actual concentration of chemical substances at the emergency scene CD ab , Chemical substance safety concentration CE ab and the maximum permissible concentration of chemical substances CF ab ; Calculate the environmental index AF based on environmental data a , the formula based on is: ; ; ; ; Among them, AF a is the environmental index of the first-aid scene of the ath patient; CA a is the temperature value of the emergency scene of the ath patient; CB a is the humidity value at the emergency scene of the ath patient; CD ab is the actual concentration of the bth chemical substance at the first aid scene of the ath patient, b is the serial number corresponding to different chemical substances at the first aid scene, and its value is [1, d]; d is the total number of chemical substances existing at the first aid scene, and its value is a positive integer; CEab is the safe concentration of the bth chemical substance at the first aid scene of the ath patient; CF ab CAC is the maximum permissible concentration of the bth chemical substance at the emergency scene of the ath patient; ab is the safety index of the bth chemical substance at the first aid scene of the ath patient.

[0013] In the preferred solution of the emergency data connection and transmission system described above: calculating the patient's criticality index XA a The method is: According to the vital signs index AD a , blood lactate index AE a and environmental index AF a Calculate the patient's severity index XA a , the formula based on is: ； Among them, ɑ1 is the vital sign index AD a The weight coefficient is 0.3-0.5; ɑ2 is the blood lactate index AE a The weight coefficient is 0.2 to 0.5; ɑ3 is the environmental index AF a The weight coefficient is between 0.2 and 0.5, and ɑ1+ɑ2+ɑ3=1.

[0014] In the preferred embodiment of the emergency data connection and transmission system, the method for determining the severity of the patient's condition is: The criticality threshold set includes a high criticality threshold QG and a low criticality threshold QD; According to the patient's severity index XA a The criticality threshold set is used to determine the criticality of the patient's condition, based on the formula: .

[0015] In the preferred solution of the above-mentioned emergency first aid data docking and transmission system: the docking hospital recalculation module includes a docking index calculation unit: The docking data includes the distances between patients with high-risk conditions and different hospitals. b and the number of idle ambulances in different hospitals b ; The docking index calculation unit can calculate the distance HA b and the number of idle rescue equipment HF b Calculate the docking index HW b , the formula based on is:

[0016] Among them, HW b is the docking indicator of the bth hospital; Each critically ill patient corresponds to several docking indicators HW of different hospitals b The hospital corresponding to the maximum value is selected as the docking hospital; the hospital determined in the emergency hospital judgment module is used as the docking hospital.

[0017] In the preferred solution of the above-mentioned emergency first aid data connection and transmission system: the data transmission module includes a first judgment unit: The first judgment unit can determine the patient data transmission order according to the severity of the patient's condition, specifically: high severity>medium severity>low severity.

[0018] In the preferred solution of the above-mentioned emergency first aid data connection and transmission system: the data transmission module further includes a second judgment unit: The second judgment unit can be used to judge the severity of the disease of different patients and the severity index of the disease of the patient XA a When the transmission data of the patient is equal, the time-sensitive sensitivity index XB is calculated. a , specifically: The transmission data includes the maximum allowed delay DA and data size DB a and network available bandwidth DC a ; Calculate the timeliness sensitivity index XB based on the transmission data a , the formula based on is:

[0019] Among them, XB a DB is the time-sensitive index of the ath patient; a The size of the data transmitted for the ath patient; DC a is the network available bandwidth at the location of the ath patient; K is the steepness coefficient of the S-shaped curve.

[0020] (III) Beneficial effects The present invention provides an emergency first aid data connection and transmission system, which has the following beneficial effects: (1) In the emergency hospital judgment module, the hospital matching index HH is calculated based on the hospital data b , and select all hospital matching indicators HH bThe hospital corresponding to the maximum value in provides emergency treatment to the patients, taking into account resource factors such as the number of idle doctors, the number of idle wards, and the number of idle rescue equipment. Choosing the hospital with the maximum indicator means that the hospital is relatively more abundant in key medical resources such as doctors, wards, and equipment, which can make more full use of the hospital's idle medical resources and avoid the imbalance of some hospitals having idle resources while other hospitals have tight resources.

[0021] (2) In the disease diagnosis module, the vital signs index AD is calculated based on the vital signs data a and blood lactate index AE a , which can reflect the stability of the patient's basic physiological state and reflect whether the patient has potential problems such as hypoxia from a metabolic perspective. The environmental index AF is calculated based on environmental data. a It is helpful for medical staff to understand the environmental risks of the emergency scene in advance, optimize the emergency plan, and a , blood lactate index AE a and environmental index AF a Calculate the patient's severity index XA a , can comprehensively and deeply evaluate the patient's condition, avoid the limitation of judging based on a single indicator, improve the accuracy and reliability of the evaluation, and a Determining the severity of a patient's condition by combining a set of thresholds for severity of illness can help doctors more accurately judge the severity of the patient's condition and thus develop more targeted treatment plans.

[0022] (3) In the hospital recalculation module, for patients with high-risk conditions, the docking indicator HW is calculated based on the hospital data b , and give priority to docking indicator HW b A high-quality hospital, that is, a hospital that is close and has abundant idle rescue equipment, is conducive to ensuring that patients can quickly obtain sufficient medical resources and improve the success rate of treatment. Determining the data docking and transmission hospital according to the severity of the patient's condition helps to reasonably plan the flow and storage of medical data and minimize the time patients wait for rescue and treatment.

[0023] (4) In the data transmission module, the data transmission order is determined based on the severity of the disease, which can ensure that the data of patients with serious conditions are transmitted first. Doctors can obtain key information such as vital signs and examination reports of such patients more quickly, make diagnosis and treatment decisions in time, and improve the success rate of treatment. For patients with the same severity of disease and equal indicators, the timeliness sensitivity index XB is used to determine the data transmission order. a Further sorting will help to rationally allocate network and other transmission resources, avoid the impact of data transmission delays on medical judgment and treatment, and ensure the accuracy and timeliness of consultations. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 A schematic diagram of the system composition of an emergency first aid data connection and transmission system of the present invention; Figure 2 The present invention is a method for calculating the patient's critical condition index XA in an emergency first aid data connection and transmission system. a Schematic diagram of the steps; Figure 3 A timeliness sensitivity index XB is calculated in an emergency data connection and transmission system a Schematic diagram of the steps. DETAILED DESCRIPTION

[0025] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] See also Figure 1-3 The present invention provides an emergency first aid data connection and transmission system, comprising: The emergency hospital judgment module can calculate the hospital matching index HH based on hospital data b , and select all hospital matching indicators HH b The hospital corresponding to the maximum value in sends emergency personnel to provide first aid to the patient.

[0027] Specifically, the emergency hospital judgment module includes a first monitoring unit and a docking hospital judgment unit: The first monitoring unit is used to collect hospital data from various hospitals with emergency care qualifications when a patient needs emergency care; Hospital data including the distance of the hospital to the emergency patient HA b , Number of idle doctors HB b 、Total number of doctors HC b 、Number of available wards HD b Total number of wards b , Number of idle rescue equipment HF b and the total number of rescue equipment HG b .

[0028] It should be noted that the distance between the hospital and the emergency patient is HA bIt refers to the spatial distance from the geographical location of the hospital to the location of the emergency patient, in kilometers or meters. It is obtained by calculating the distance between the address information provided by the patient and the location information of the hospital with the help of map service software such as Baidu Maps and Amap, and using it as the distance HA from the hospital to the emergency patient. b .

[0029] Number of idle doctors HB b It refers to the number of doctors who have no ongoing medical tasks and are ready to start new work at any time when patients need emergency treatment. It reflects the human resource reserve of the hospital that can immediately respond to medical needs at that moment. The method of obtaining it is as follows: the hospital records the doctor's schedule, work task arrangement and other information through the HIS system. The system can update the doctor's work status in real time. By querying the doctor's task allocation in the system, the number of doctors who are currently not assigned tasks can be counted, that is, the number of idle doctors HB b .

[0030] Total number of doctors HC b Refers to the total number of doctors in the hospital, including the total number of full-time doctors, part-time doctors, interns and other qualified doctors in each department. It reflects the overall medical human resource scale of the hospital. The method of obtaining it is: query the personnel records of doctor positions in the personnel system, count the number of people in the record, and use it as the total number of doctors HC b .

[0031] Number of available wards HD b It refers to the number of wards in the hospital that are not occupied by patients when they need emergency treatment. It is an important indicator to measure the availability of hospital ward resources. The way to obtain it is: the hospital's ward management system will record the usage status of each ward, such as occupied, idle, under maintenance, etc. By querying the system, the number of idle wards can be obtained in real time. b .

[0032] Total number of wards b It refers to the total number of wards in a hospital, including the total number of different types of wards such as general wards, intensive care units, and isolation wards, reflecting the overall capacity of the hospital to treat patients. It can be obtained by consulting the hospital's architectural planning drawings and related materials, clarifying the number of wards in each area and summarizing them as the total number of wards. b .

[0033] Number of Idle Ambulance Equipment HF bIt refers to the number of rescue equipment in the hospital that is in normal operation and can be put into emergency or medical use at any time when the patient needs emergency treatment, such as stretchers, defibrillators, ventilators, etc. It reflects the reserve and deployment of emergency medical equipment in the hospital. The way to obtain it is: the hospital's equipment management system will record the use status of each rescue equipment. By querying the system, the number of idle rescue equipment can be obtained in real time. b .

[0034] Total number of rescue equipment HG b It refers to the total number of various types of rescue equipment owned by the hospital, covering all equipment used for emergency and medical treatment, reflecting the total amount of medical equipment resources in the hospital. The acquisition method is as follows: the equipment procurement department and inventory management department of the hospital keep the equipment procurement records and inventory ledgers. By consulting these records, the total number of rescue equipment can be calculated. b .

[0035] The hospital judgment unit is used to calculate the hospital matching index HH based on the hospital data b , the formula based on is:

[0036] Among them, HH b is the hospital matching index of the bth hospital, b is the serial number corresponding to different hospitals, and its value is a positive integer; HA b HB is the distance between the bth hospital and the emergency patient; b is the number of idle doctors in the bth hospital; HC b is the total number of doctors in the bth hospital; HD b is the number of vacant wards in the bth hospital; HE b is the total number of wards in the bth hospital; HF b is the number of idle rescue equipment in the bth hospital; HG b is the total number of rescue equipment in the bth hospital; It should be noted that the operating principle of this formula is: The number of idle doctors in the bth hospital is calculated Total number of doctors The ratio reflects the idleness of the hospital's doctor resources. The larger the ratio, the higher the proportion of idle doctors. When responding to new medical tasks, the more deployable the doctor's human resources are. The number of vacant wards is calculated Total number of wards The ratio reflects the surplus of hospital ward resources. The larger the ratio, the more idle wards there are and the stronger the ability to receive new patients. The number of idle rescue equipment is calculated Total number of rescue equipment The ratio reflects the availability of rescue equipment. The larger the ratio, the more idle rescue equipment there is, and the stronger the guarantee capacity of equipment resources during emergency treatment. Adding the above three resource ratios, we can get the total idle ratio of the three key resources of the hospital, namely doctors, wards and rescue equipment. This sum comprehensively reflects the overall idleness and deployability of the hospital's resources. The larger the value, the more sufficient the hospital's reserves of these resources are, and the more capable it is to cope with new emergency tasks. It is an adjustment to the sum of the above resource ratios. The closer the hospital is to the emergency patient, The smaller, The larger the value of , the greater the contribution to the final result, which reflects the importance of distance in emergency resource matching. Hospitals that are close to each other are more conducive to quickly responding to emergency needs when the idleness of resources is the same.

[0037] Select all hospitals matching indicator HH b The hospital corresponding to the maximum value in provides emergency treatment to the patient.

[0038] In the above scheme, the hospital matching index HH is calculated based on the hospital data b , and select all hospital matching indicators HH b The hospital corresponding to the maximum value in provides emergency treatment to the patients, taking into account resource factors such as the number of idle doctors, the number of idle wards, and the number of idle rescue equipment. Choosing the hospital with the maximum indicator means that the hospital is relatively more abundant in key medical resources such as doctors, wards, and equipment, which can make more full use of the hospital's idle medical resources and avoid the imbalance of some hospitals having idle resources while other hospitals have tight resources.

[0039] The disease diagnosis module can calculate the vital signs index AD based on the vital signs data a and blood lactate index AE a , calculate the environmental index AF based on environmental data a , according to the vital signs index AD a , blood lactate index AE a and environmental index AF a Calculate the patient's severity index XA a ; Preset the criticality threshold set; According to the patient's criticality index XA a The severity of the patient's condition is determined by a set of severity thresholds.

[0040] Specifically, the condition judgment module includes a second monitoring unit, a physical condition assessment unit, an environment assessment unit and a condition judgment unit: The second monitoring unit can collect the patient's vital signs data and environmental data after the emergency personnel arrive at the patient's site; the physical state assessment unit is used to calculate the vital signs index AD a and blood lactate index AE a ; Environmental assessment unit is used to calculate the environmental index AF a ; The condition judgment unit is used to calculate the patient's condition severity index XA a , and determine the severity of the patient's condition.

[0041] Specifically, the vital signs index AD is calculated a and blood lactate index AE a The method is: Vital signs data including patient temperature AA a , patient's blood oxygen saturation AB a 、Patient pulse pressure AC a 、Normal body temperature range [AA min , A.A. max ]、Normal blood oxygen saturation range [AB min , A.B. max ] and normal pulse pressure range [AC min , A.C. max ].

[0042] It should be noted that the patient's temperature value AA a It refers to the temperature inside the patient's body and is one of the important indicators reflecting the patient's physiological state. It is measured by a glass thermometer or an electronic thermometer and the unit is ℃.

[0043] Patient's blood oxygen saturation AB a It refers to the percentage of oxygenated hemoglobin capacity bound to oxygen in the blood to the total hemoglobin capacity that can be bound, that is, the concentration of blood oxygen in the blood. It is an important physiological parameter of the respiratory circulation, reflecting the body's oxygen supply and oxygenation status, and is measured using a pulse oximeter.

[0044] Patient pulse pressure AC a It refers to the difference between systolic pressure and diastolic pressure, representing the fluctuation amplitude of arterial blood pressure in a cardiac cycle. The unit is mmHg. The method of obtaining it is: using an electronic sphygmomanometer to measure systolic pressure and diastolic pressure, and subtracting diastolic pressure from systolic pressure is the patient's pulse pressure value AC. a .

[0045] Normal body temperature range [AA min , A.A. max ] refers to the temperature fluctuation range of healthy people under normal physiological conditions, which is used as a reference standard to judge whether the patient's temperature is normal. min The value is 36℃, AA max The value is 37℃.

[0046] Normal blood oxygen saturation range [AB min , A.B. max ] refers to the fluctuation range of arterial oxygen saturation in healthy people under normal physiological conditions. It is an important basis for evaluating whether the body's oxygenation function is normal. The arterial oxygen saturation of normal human body is generally stable at 95%-100%. min The value is 95%, AB max The value is 100%.

[0047] Normal pulse pressure range [AC min , A.C. max ] refers to the fluctuation range of pulse pressure in healthy people under normal physiological conditions. It is used to determine whether the patient's pulse pressure is at a normal level, and to assist in the diagnosis and assessment of the disease. Normal pulse pressure is generally 30-40 mmHg, AC min 30 mmHg, AC max It is 40mmHg.

[0048] Connect to the hospital judgment unit to calculate the vital signs index AD based on vital signs data a , the formula based on is: ; Among them, AD a is the vital sign index of the ath patient; a is the serial number corresponding to different patients, and its value is a positive integer; AA a is the body temperature value of the ath patient; AB a is the blood oxygen saturation of the ath patient; AC a is the pulse pressure value of the ath patient.

[0049] It should be noted that the operating principle of this formula is: The temperature value is standardized. It is to standardize the blood oxygen saturation. The pulse pressure value is standardized. After standardization, it can more clearly reflect the deviation of the patient's body temperature, blood oxygen saturation and pulse pressure value from the normal range. Finally, the average of the three standardized results is taken to obtain the vital sign index AD a .

[0050] Vital sign data also includes the patient's blood lactate value BA a .

[0051] It should be noted that the patient's blood lactate value BA a It refers to the lactic acid content in the blood, which is measured using a handheld blood lactate analyzer and is expressed in mmol / L.

[0052] According to the patient's blood lactate value BAa Calculation of blood lactate index AE a , the formula based on is:

[0053] Among them, BA a is the blood lactate value of the ath patient.

[0054] It should be noted that the operating principle of this formula is: when , This calculation method is based on the linear relationship when the blood lactate value is in the normal or near normal range. This linear relationship can more intuitively reflect the impact of small changes in the blood lactate value within the normal range on the blood lactate index. The higher the blood lactate value, the higher the blood lactate index, but the increase is relatively small because the body's metabolic state is relatively stable within this range. hour, This section uses the form of a logistic function, in which the characteristic of the logistic function is that when the value of the independent variable is small, the function value grows slowly; as the independent variable increases, the function value grows faster and then gradually stabilizes. When the blood lactate value reaches or exceeds 2mmol / L, it usually indicates that the body may be in hypoxia, metabolic disorders or other pathological states, and blood lactate begins to accumulate in large quantities. By using the logistic function, the impact of changes in blood lactate values ​​in a higher range on the blood lactate index can be more sensitively reflected. As the blood lactate value continues to increase, the growth rate of the blood lactate index accelerates, which further highlights the change in the severity of the patient's condition when the blood lactate value increases. Calculating the blood lactate index in this piecewise function manner can more comprehensively and accurately reflect the patient's metabolic state and potential health risks at different blood lactate levels.

[0055] Specifically, the calculation environment index AF a The method is: Environmental data including emergency scene temperature value CA a , Humidity value CB at the emergency scene a , Actual concentration of chemical substances at the emergency scene CD ab , Chemical substance safety concentration CE ab and the maximum permissible concentration of chemical substances CF ab .

[0056] It should be noted that the temperature value of the emergency scene is CA a It refers to the air temperature at the emergency scene, and is one of the important indicators reflecting the on-site environmental conditions. Too high or too low a temperature may affect the patient's vital signs, the operation of emergency personnel, and the performance of medical equipment. It is measured by an environmental monitor.

[0057] Humidity value CB at the emergency scene aIt indicates the amount of water vapor in the air at the emergency scene. It is generally measured by relative humidity, that is, the percentage of the actual water vapor pressure in the air to the saturated water vapor pressure at the same temperature. Humidity has an impact on human comfort, the performance of medical equipment, and the preservation of certain drugs. It is measured by environmental monitoring instruments.

[0058] Actual concentration of chemical substances at the emergency scene CD ab Refers to the actual content of a certain chemical substance in the emergency scene environment, measured in mg / m³ using a gas detector.

[0059] Chemical substance safety concentration CE ab It refers to the concentration level of a chemical substance that can exist in the environment within a certain period of time without causing significant harm to human health or the environment. The unit is mg / m³. The maximum allowable concentration of a chemical substance is CF. ab It usually refers to the maximum concentration of a chemical substance allowed to exist under specific environmental or working conditions, with the unit of mg / m³. ab and the maximum permissible concentration of chemical substances CF ab It is determined by referring to relevant national standards, industry standards, regulatory documents and guidelines issued by authoritative organizations, such as the "Indoor Air Quality Standards".

[0060] Calculate the environmental index AF based on environmental data a , the formula based on is: ; ; ; ; Among them, AF a is the environmental index of the first-aid scene of the ath patient; CA a is the temperature value of the emergency scene of the ath patient; CB a is the humidity value at the emergency scene of the ath patient; CD ab is the actual concentration of the bth chemical substance at the first aid scene of the ath patient, b is the serial number corresponding to different chemical substances at the first aid scene, and its value is [1, d]; d is the total number of chemical substances existing at the first aid scene, and its value is a positive integer; CE ab is the safe concentration of the bth chemical substance at the first aid scene of the ath patient; CF ab CAC is the maximum permissible concentration of the bth chemical substance at the emergency scene of the ath patient; ab is the safety index of the bth chemical substance at the first aid scene of the ath patient.

[0061] It should be noted that the operating principle of this formula is: through the piecewise function method, the impact of the ambient temperature, humidity and chemical concentration on the patient's vital signs is quantified, and the , and , It is a comprehensive consideration of the impact of all chemical concentrations at the emergency scene. , and Adding these three parts together, we get the environmental index It comprehensively reflects the environmental factors such as temperature, humidity and chemical concentration at the emergency scene. The larger the value, the worse the environmental conditions.

[0062] Specifically, calculate the patient's severity index XA a The method is: According to the vital signs index AD a , blood lactate index AE a and environmental index AF a Calculate the patient's severity index XA a , the formula based on is: ； Among them, ɑ1 is the vital sign index AD a The weight coefficient is 0.3 to 0.5, based on the vital signs index AD a XA, a critical indicator of the patient's condition a The degree of influence is determined; ɑ2 is the blood lactate index AE a The weight coefficient is 0.2 to 0.5, based on the blood lactate index AE a XA, a critical indicator of the patient's condition a The impact degree is determined; ɑ3 is the environmental index AF a The weight coefficient is 0.2 to 0.5, according to the environmental index AF a XA, an indicator of the severity of the patient's condition a The degree of influence is determined; and ɑ1+ɑ2+ɑ3=1.

[0063] Specifically, the method for determining the severity of a patient's condition is: The criticality threshold set includes a high criticality threshold QG and a low criticality threshold QD.

[0064] It should be noted that the method for determining the high-risk severity threshold QG and the low-risk severity threshold QD is: collect historical emergency data from each hospital with emergency qualifications, calculate the patient's condition severity index data of different emergency patients according to the above method, calculate the mean and standard deviation of the patient's condition severity index data, calculate the mean plus twice the standard deviation as the reference value of the high-risk severity threshold QG, and calculate the mean minus twice the standard deviation as the reference value of the low-risk severity threshold QD.

[0065] According to the patient's severity index XA a The criticality threshold set is used to determine the criticality of the patient's condition, based on the formula: .

[0066] In the above scheme, the vital sign index AD is calculated based on the vital sign data a and blood lactate index AE a , which can reflect the stability of the patient's basic physiological state and reflect whether the patient has potential problems such as hypoxia from a metabolic perspective. The environmental index AF is calculated based on environmental data. a It is helpful for medical staff to understand the environmental risks of the emergency scene in advance, optimize the emergency plan, and a , blood lactate index AE a and environmental index AF a Calculate the patient's severity index XA a , can comprehensively and deeply evaluate the patient's condition, avoid the limitation of judging based on a single indicator, improve the accuracy and reliability of the evaluation, and a Determining the severity of a patient's condition by combining a set of thresholds for severity of illness can help doctors more accurately judge the severity of the patient's condition and thus develop more targeted treatment plans.

[0067] The docking hospital recalculation module can obtain the docking data of patients with high-risk conditions and different hospitals, and calculate the docking index HW based on the docking data b ; and determine the corresponding hospitals for patients with different levels of criticality.

[0068] Specifically, the docking hospital recalculation module includes a docking indicator calculation unit: The docking data includes the distances between patients with high-risk conditions and different hospitals. b and the number of idle ambulances in different hospitals b ; The docking index calculation unit can calculate the distance HA between the hospital and the patients with high-risk conditions. b and the number of idle rescue equipment HF b Calculate the docking index HW b, the formula based on is:

[0069] Among them, HW b It is the docking indicator of the bth hospital.

[0070] It should be noted that the operating principle of this formula is: in an emergency scenario, the closer the hospital is to the patient, the faster the emergency personnel and equipment can reach the patient, and the greater the possibility that the patient will receive timely treatment. Therefore, distance is a key factor. The distance between the hospital and the critically ill patient is In the denominator position, this means that the shorter the distance, the better the docking index. The larger the value, the closer the hospital is to the patient, the better it is at connecting with the patient and carrying out emergency work. The more idle rescue equipment there are, the more resources the hospital can immediately put into use when it receives an emergency task, and the more capable it is of responding to the patient's treatment needs. In the molecular position, the number of idle rescue equipment The higher the docking index The larger the value is, the more abundant the idle rescue equipment resources of the hospital are, the more advantageous it is in the calculation of the docking index, and the more suitable it is for docking with patients. The docking index is calculated by combining the above two factors. This indicator comprehensively reflects the hospital’s situation in terms of distance and idle rescue equipment resources.

[0071] Each critically ill patient corresponds to several docking indicators HW of different hospitals b The hospital corresponding to the maximum value is selected as the docking hospital; the hospital determined in the emergency hospital judgment module is used as the docking hospital.

[0072] In the above scheme, for patients with high-risk conditions, the docking indicator HW is calculated based on hospital data. b , and give priority to docking indicator HW b A high-quality hospital, that is, a hospital that is close and has abundant idle rescue equipment, is conducive to ensuring that patients can quickly obtain sufficient medical resources and improve the success rate of treatment. Determining the data docking and transmission hospital according to the severity of the patient's condition helps to reasonably plan the flow and storage of medical data and minimize the time patients wait for rescue and treatment.

[0073] The data transmission module can determine the order of patient data transmission according to the severity of the patient's condition; when different patients are in the same severity level and the patient's severity index XA a When they are equal, the patient's transmission data is collected and the timeliness sensitivity index XB is calculated based on the transmission data. a, and according to the timeliness sensitivity index XB a Arrange the transmission order.

[0074] Specifically, the data transmission module includes a first judgment unit: The first judgment unit can determine the patient data transmission order according to the severity of the patient's condition, specifically: high severity>medium severity>low severity.

[0075] Specifically, the data transmission module also includes a second judgment unit: The second judgment unit can be used to judge the severity of the disease of different patients and the severity index of the disease of the patient XA a When the transmission data of the patient is equal, the time-sensitive sensitivity index XB is calculated. a , specifically: The transmission data includes the maximum allowed delay DA and data size DB a and network available bandwidth DC a .

[0076] It should be noted that the maximum allowable data delay DA refers to the longest time interval allowed from the time when the patient's vital signs data is collected and generated at the collection end to the time when the data is successfully transmitted to the receiving end. The unit is seconds. The acquisition method is: collect historical transmission data of different emergency patients, obtain the time from the time when the vital signs data of different emergency patients is collected and generated at the collection end to the time when the data is successfully transmitted to the receiving end and calculate the average value as the maximum allowable data delay DA.

[0077] Data size DB a Refers to the size of the storage space occupied by the data to be transmitted, usually in bytes, kilobytes, megabytes and gigabytes. The method of obtaining it is as follows: the data transmission software such as the hospital's internal data transmission system and the telemedicine data transmission APP will count the data size before or during the transmission. This value is the data size DB a .

[0078] Network available bandwidth DC a Refers to the effective bandwidth that the network can provide for data transmission at a certain moment, that is, the amount of data that the network can transmit per unit time, measured in bits per second, using network testing tools such as Speedtest and iperf.

[0079] Calculate the timeliness sensitivity index XB based on the transmission data a , the formula based on is:

[0080] Among them, XB a DB is the time-sensitive index of the ath patient; aThe size of the data transmitted for the ath patient; DC a is the network available bandwidth at the location of the ath patient; K is the steepness coefficient of the S-shaped curve, which is 2.5.

[0081] It should be noted that the operating principle of this formula is: this formula is a function based on the S-shaped curve, that is, the logistic curve. The S-shaped curve is often used to describe the process in which, under certain conditions, as a certain variable changes, another variable gradually increases from a low level to a high level, and the growth rate is slow at first, then fast, and then slow again. Here, the function is used to measure the timeliness sensitivity of the data, that is, as Changes in the timeliness of data The change of K is the S-curve steepness coefficient, which is 2.5. It determines the steepness of the function curve. The larger the K value, the steeper the curve, that is, the more sensitive the change of the independent variable is to the function value. is the remaining transmission time. The shorter the remaining transmission time, the more sensitive it is to timeliness. The higher it will be.

[0082] In the above scheme, the data transmission order is determined based on the severity of the disease, which can ensure that the data of patients with serious conditions are transmitted first. Doctors can obtain key information such as vital signs and examination reports of such patients more quickly, make diagnosis and treatment decisions in time, and improve the success rate of treatment. For patients with the same severity of disease and equal indicators, the timeliness sensitivity index XB a Further sorting will help to rationally allocate network and other transmission resources, avoid the impact of data transmission delays on medical judgment and treatment, and ensure the accuracy and timeliness of consultations.

[0083] It should be noted that hospital data, vital signs data, environmental data, docking data and transmission data need to be preprocessed before formula calculation, such as normalization preprocessing, to eliminate the dimensions of each parameter and facilitate subsequent formula calculation and analysis.

[0084] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. A person of ordinary skill in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented in electronic hardware or in combination with computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0085] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0086] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. An emergency first aid data connection and transmission system, characterized in that: include: The emergency hospital judgment module can calculate the hospital matching index HH based on hospital data b , and select all hospitals matching indicator HH b The hospital corresponding to the maximum value in sends emergency personnel to provide first aid to the patient; The disease diagnosis module can calculate the vital signs index AD based on the vital signs data a and blood lactate index AE a , calculate the environmental index AF based on environmental data a , according to the vital signs index AD a , blood lactate index AE a and environmental index AF a Calculate the patient's severity index XA a ; Preset the criticality threshold set; According to the patient's criticality index XA a and a severity threshold set to determine the severity of the patient's condition; The docking hospital recalculation module can obtain the docking data of patients with high-risk conditions and different hospitals, and calculate the docking index HW based on the docking data b ; And determine the corresponding hospitals for patients with different criticalities; The data transmission module can determine the patient data transmission order according to the severity of the patient's condition; when different patients are in the same severity and the patient's severity index XA a When they are equal, the patient's transmission data is collected and the timeliness sensitivity index XB is calculated based on the transmission data. a , and according to the timeliness sensitivity index XB a Arrange the transmission order.

2. The emergency first aid data connection and transmission system according to claim 1, characterized in that: The emergency hospital judgment module includes a first monitoring unit and a docking hospital judgment unit: The first monitoring unit is used to collect hospital data from various hospitals with emergency care qualifications when a patient needs emergency care; Hospital data including the distance of the hospital to the emergency patient HA b , Number of idle doctors HB b 、Total number of doctors HC b 、Number of available wards HD b Total number of wards b , Number of idle rescue equipment HF b and the total number of rescue equipment HG b ; The hospital judgment unit is used to calculate the hospital matching index HH based on the hospital data b , the formula based on is: ； Among them, HH b is the hospital matching index of the bth hospital, b is the serial number corresponding to different hospitals, and its value is a positive integer; HA b HB is the distance between the bth hospital and the emergency patient; b is the number of idle doctors in the bth hospital; HC b is the total number of doctors in the bth hospital; HD b is the number of vacant wards in the bth hospital; HE b is the total number of wards in the bth hospital; HF b is the number of idle rescue equipment in the bth hospital; HG b is the total number of rescue equipment in the bth hospital; Select all hospitals matching indicator HH b The hospital corresponding to the maximum value in provides emergency treatment to the patient.

3. The emergency first aid data connection and transmission system according to claim 2, characterized in that: The condition judgment module includes a second monitoring unit, a physical condition assessment unit, an environment assessment unit and a condition judgment unit: The second monitoring unit can collect the patient's vital signs data and environmental data after the emergency personnel arrive at the patient's site; the physical state assessment unit is used to calculate the vital signs index AD a and blood lactate index AE a ; Environmental assessment unit is used to calculate the environmental index AF a ; The condition judgment unit is used to calculate the patient's condition severity index XA a , and determine the severity of the patient's condition.

4. The emergency first aid data connection and transmission system according to claim 3, characterized in that: Calculate vital signs index AD a and blood lactate index AE a The method is: Vital signs data including patient temperature AA a , patient's blood oxygen saturation AB a 、Patient pulse pressure AC a 、Normal body temperature range [AA min , A.A. max ]、Normal blood oxygen saturation range [AB min , A.B. max ] and normal pulse pressure range [AC min , A.C. max ]; Connect to the hospital judgment unit to calculate the vital signs index AD based on vital signs data a , the formula based on is: ； Among them, AD a is the vital sign index of the ath patient; a is the serial number corresponding to different patients, and its value is a positive integer; AA a is the body temperature value of the ath patient; AB a is the blood oxygen saturation of the ath patient; AC a is the pulse pressure value of the ath patient; Vital sign data also includes the patient's blood lactate value BA a ; According to the patient's blood lactate value BA a Calculation of blood lactate index AE a , the formula based on is: ； Among them, BA a is the blood lactate value of the ath patient.

5. The emergency first aid data connection and transmission system according to claim 4, characterized in that: Calculation Environment Index AF a The method is: Environmental data including emergency scene temperature value CA a , Humidity value CB at the emergency scene a , Actual concentration of chemical substances at the emergency scene CD ab , Chemical substance safety concentration CE ab and the maximum permissible concentration of chemical substances CF ab ; Calculate the environmental index AF based on environmental data a , the formula based on is: ； ； ； ； Among them, AF a is the environmental index of the first-aid scene of the ath patient; CA a is the temperature value of the emergency scene of the ath patient; CB a is the humidity value at the emergency scene of the ath patient; CD ab is the actual concentration of the bth chemical substance at the first aid scene of the ath patient, b is the serial number corresponding to different chemical substances at the first aid scene, and its value is [1, d]; d is the total number of chemical substances existing at the first aid scene, and its value is a positive integer; CE ab is the safe concentration of the bth chemical substance at the first aid scene of the ath patient; CF ab CAC is the maximum permissible concentration of the bth chemical substance at the emergency scene of the ath patient; ab is the safety index of the bth chemical substance at the first aid scene of the ath patient.

6. The emergency first aid data connection and transmission system according to claim 5, characterized in that: Calculate the patient's severity index XA a The method is: According to the vital signs index AD a , blood lactate index AE a and environmental index AF a Calculate the patient's severity index XA a , the formula based on is: ； Among them, ɑ1 is the vital sign index AD a The weight coefficient is 0.3-0.5; ɑ2 is the blood lactate index AE a The weight coefficient is 0.2 to 0.5; ɑ3 is the environmental index AF a The weight coefficient is between 0.2 and 0.5, and ɑ1+ɑ2+ɑ3=1.

7. The emergency first aid data connection and transmission system according to claim 6, characterized in that: The method to determine the severity of the patient's condition is: The criticality threshold set includes a high criticality threshold QG and a low criticality threshold QD; According to the patient's severity index XA a The criticality threshold set is used to determine the criticality of the patient's condition, based on the following formula: 。 8. The emergency first aid data connection and transmission system according to claim 7, characterized in that: The docking hospital recalculation module includes the docking indicator calculation unit: The docking data includes the distances between patients with high-risk conditions and different hospitals. b and the number of idle ambulances in different hospitals b ; The docking index calculation unit can calculate the distance HA b and the number of idle rescue equipment HF b Calculate the docking index HW b , the formula based on is: ； Among them, HW b is the docking indicator of the bth hospital; Each critically ill patient corresponds to several docking indicators HW of different hospitals b The hospital corresponding to the maximum value is selected as the docking hospital; the hospital determined in the emergency hospital judgment module is used as the docking hospital.

9. The emergency first aid data connection and transmission system according to claim 8, characterized in that: The data transmission module includes a first judgment unit: The first judgment unit can determine the patient data transmission order according to the severity of the patient's condition, specifically: high severity>medium severity>low severity.

10. The emergency first aid data connection and transmission system according to claim 9, characterized in that: The data transmission module also includes a second judgment unit: The second judgment unit can be used to judge the severity of the disease of different patients and the severity index of the disease of the patient XA a When the transmission data of the patient is equal, the time-sensitive sensitivity index XB is calculated. a , specifically: The transmission data includes the maximum allowed delay DA and data size DB a and network available bandwidth DC a ; Calculate the timeliness sensitivity index XB based on the transmission data a , the formula based on is: ； Among them, XB a is the time-sensitive sensitivity index of the ath patient; DB a The size of the data transmitted for the ath patient; DC a is the network available bandwidth at the location of the ath patient; K is the steepness coefficient of the S-shaped curve.

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