A method and apparatus for pre-hospital emergency care

Abstract

The application provides an emergency method and device for pre-hospital medical treatment, which is applied to a medical treatment platform of an ambulance, acquires first patient data of equipment, wherein the equipment is instrument equipment on the ambulance, and the first patient data includes one or more of body temperature, blood pressure, heart rate and respiratory rate of the patient; obtains first symptom parameters according to the first patient data; matches a first treatment mode corresponding to the first symptom parameters from a preset model library; and shows the first treatment mode to medical staff, so that the medical staff pre-treats the patient according to the first treatment mode. By using the above method, the ambulance is used to match the corresponding treatment mode according to the patient data during the time before entering the hospital, and the medical staff pre-treats the patient according to the treatment mode, so that the occurrence of the omission of the patient data is reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of medical signal processing, in particular to an emergency treatment method and device for pre-hospital medical treatment. BACKGROUND

[0002] The pre-hospital emergency treatment service system is related to the life and health of the people, involves the happy life of thousands of families, and is the most important demand of people's livelihood. A good pre-hospital emergency treatment service system has become an important content for measuring the comprehensive service system of a city in the world, and can better reflect the medical and health service level of a country or region.

[0003] At present, the existing pre-hospital emergency treatment is that after a patient calls 120, an ambulance is dispatched by the emergency center, and the ambulance arrives at the designated location according to the address provided by the patient. The on-board doctor performs emergency treatment on the patient. Before the ambulance arrives at the hospital, the on-board doctor will take emergency measures on the patient, and judge the patient's physical condition through the data of the medical equipment. According to the current physical condition of the patient, the possible further malignant condition of the patient is predicted. However, when the on-board doctor predicts the physical condition of the patient, if one item of data is missed, the prediction result may be analyzed incorrectly, and then the patient cannot be treated by the ambulance before entering the hospital.

[0004] Therefore, there is an urgent need for an emergency treatment method and device for pre-hospital medical treatment which can solve the above technical problems. SUMMARY

[0005] In view of the deficiencies in the related art, the present application provides an emergency treatment method and device for pre-hospital medical treatment. The method uses the time before the ambulance enters the hospital to match the corresponding treatment mode according to the patient data, and the medical staff pre-treats the patient according to the treatment mode to reduce the occurrence of patient data omission.

[0006] The first aspect of the present application provides an emergency treatment method for pre-hospital medical treatment, applied to a medical treatment platform of an ambulance. The method further comprises: acquiring first patient data of a medical equipment, wherein the medical equipment is an instrument device on the ambulance, and the first patient data comprises one or more of the body temperature, blood pressure, heart rate and respiratory rate of the patient; obtaining a first symptom parameter according to the first patient data; matching a first treatment mode corresponding to the first symptom parameter from a preset model library; and displaying the first treatment mode to medical staff so that the medical staff pre-treats the patient according to the first treatment mode.

[0007] The above technical solution uses the time before the ambulance enters the hospital to match the corresponding treatment mode according to the patient data, and the medical staff pre-treats the patient according to the treatment mode to reduce the occurrence of patient data omission.

[0008] The second aspect of the application provides an emergency device for pre-hospital medical treatment, the device being a medical treatment platform of an ambulance, the medical treatment platform of the ambulance comprising a receiving unit, a processing unit and a display unit; the receiving unit acquires first patient data of a medical device, wherein the medical device is an instrument device on the ambulance, and the first patient data comprises one or more of body temperature, systolic pressure, heart rate and respiratory rate of the patient; the processing unit obtains a first symptom parameter according to the first patient data; matches a first treatment mode corresponding to the first symptom parameter from a preset model library; and the display unit displays the first treatment mode to the medical staff, so that the medical staff pre-treats the patient in the first treatment mode.

[0009] By using the above technical solution, the ambulance is used to match the corresponding treatment mode according to the patient data during the period before entering the hospital, and the medical staff pre-treats the patient according to the treatment mode, so as to reduce the occurrence of patient data omission.

[0010] Optionally, the processing unit further comprises a first processing subunit, which pre-processes the first patient data to obtain a first patient symptom word set, calculates a first similarity between the first patient symptom word set and the first patient symptom parameter, and determines that the first patient data is the first symptom parameter if the first similarity value is greater than or equal to a preset similarity threshold.

[0011] By using the above technical solution, the first patient data is confirmed to correspond to the first symptom parameter according to the similarity between the first patient data and any one of the patient symptom parameters in the preset model library, so that the medical staff can quickly understand the first symptom parameter.

[0012] Optionally, the preset model library in the processing unit comprises a corresponding relationship between preset patient symptom parameters and preset treatment modes, and the preset model library is constructed according to historical symptom parameters and historical treatment modes.

[0013] By using the above technical solution, the preset model library can find a patient symptom parameter similar to the patient data according to the patient data, display the corresponding treatment mode according to the patient symptom parameter, and facilitate the medical staff to make reference.

[0014] Optionally, the receiving unit sends the first treatment mode to a first terminal device, the first terminal device being a reception device of a first hospital, and the first hospital being a target hospital, so as to prompt an emergency doctor of the first hospital to prepare for reception.

[0015] The above technical solution can save the preparation time for treating the patient, so that the patient can be treated as soon as possible, and the probability of missing the best treatment time is reduced.

[0016] Optionally, the receiving unit receives a feedback message sent by the first terminal device, the feedback message being used to indicate that the first hospital cannot receive the patient, and prompting the ambulance to transfer the patient to a second hospital, the second hospital being a hospital with an idle emergency department and being able to receive the patient.

[0017] The above technical solution can timely understand the current receiving situation of each hospital, and when the patient is in an emergency, the patient can be timely arranged to go to a hospital that can receive the patient for treatment according to the receiving situation.

[0018] Optionally, after a preset time interval, the receiving unit obtains second patient data of the equipment, the second patient data including one or more of a body temperature, a systolic pressure, a heart rate, and a respiratory rate of the patient; the processing unit calculates a difference between the first patient data and the second patient data; if the difference is less than a preset numerical range, a second symptom parameter is obtained according to the second patient data; and a second treatment mode corresponding to the second symptom parameter is matched from a preset model library.

[0019] The above technical solution can obtain multiple patient data of the patient, and determine whether the patient condition is abnormal according to the multiple patient data, so that when the patient condition is not abnormal, it is confirmed that the patient condition is not continuously deteriorating, and the patient is continuously pretreated in the first treatment mode.

[0020] Optionally, the receiving unit uploads the first symptom parameter to a second terminal device, the second terminal device being a specialist of the first hospital; and receives a first indication message sent by the second terminal device, the first indication message being used to indicate that the specialist agrees to use the first treatment mode to treat the patient.

[0021] The above technical solution can ensure that the patient data corresponds to a correct treatment mode, and the patient symptom parameter and the treatment mode are sent to a hospital specialist, so that the medical staff can pretreat the patient according to the treatment mode after the hospital specialist agrees.

[0022] Optionally, the receiving unit receives a second indication message and a third treatment mode sent by the second terminal device, the second indication message being used to indicate that the specialist disagrees to use the first treatment mode to treat the patient, and the third treatment mode being a treatment mode formulated by the specialist according to the first symptom parameter; and the medical staff pretreats the patient according to the third treatment mode.

[0023] Adopting the technical scheme, in order to ensure that the treatment mode corresponding to the patient data is correct, the patient symptom parameter and the treatment mode are sent to a hospital expert, the hospital expert disagrees, a new treatment mode is formulated according to the patient condition, and the medical staff can pretreat the patient according to the new treatment mode.

[0024] The third aspect of the present application provides an electronic device, which comprises a processor, a memory, a user interface and a network interface, the memory is used for storing instructions, the user interface and the network interface are used for communication with other devices, and the processor is used for executing the instructions stored in the memory, so that the electronic device executes the method according to any one of the first aspect of the present application.

[0025] The fourth aspect of the present application provides a computer readable storage medium, which stores instructions, when the instructions are executed, the method according to any one of the first aspect of the present application is executed.

[0026] Compared with the related art, the present application has the beneficial effects that: the ambulance is used to match the corresponding treatment mode according to the patient data before entering the hospital, the medical staff pretreats the patient according to the treatment mode, the occurrence of the omission of the patient data is reduced, the preparation time for treating the patient is saved, the treatment efficiency of the patient is improved, the current reception situation of the hospital is learned in time, when the patient is in an emergency, the patient is arranged to go to other hospitals for treatment according to the reception situation, in order to ensure that the treatment mode is correct, the hospital expert can also be sent for verification. BRIEF DESCRIPTION OF DRAWINGS

[0027] Figure 1 is a flowchart of an emergency method provided by an embodiment of the present application in pre-hospital care;

[0028] Figure 2 is a scene diagram of an emergency method provided by an embodiment of the present application in pre-hospital care;

[0029] Figure 3 is a flowchart of another emergency method provided by an embodiment of the present application in pre-hospital care;

[0030] Figure 4 is a flowchart of another emergency method provided by an embodiment of the present application in pre-hospital care;

[0031] Figure 5 is a flowchart of another emergency method provided by an embodiment of the present application in pre-hospital care;

[0032] Figure 6 is a structural diagram of an emergency device provided by an embodiment of the present application in pre-hospital care;

[0033] Figure 7 Fig. 1 is a structural schematic diagram of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0034] In order to make the objects, technical solutions and advantages of the present application clearer, the following will further describe the embodiments of the present application with reference to the drawings.

[0035] In the description of the embodiments of the present application, the words such as "exemplary", "for example", or "for instance" are used to represent an example, illustration or description. Any embodiment or design solution described as "exemplary", "for example" or "for instance" in the embodiments of the present application should not be interpreted as being more preferred or having more advantages than other embodiments or design solutions. In fact, the words such as "exemplary", "for example" or "for instance" are intended to present the relevant concept in a specific manner.

[0036] In addition, the terms "first", "second" and the like in the specification of the present application are used to distinguish different objects, and are not used to describe a specific order, which can explicitly or implicitly include one or more of the features.

[0037] Before introducing the embodiments of the present application, first, some terms involved in the embodiments of the present application are defined and explained.

[0038] Dummy speech coding: for discrete features, it is a coding mode of vectorizing and quantifying the feature values of a set of qualitative discrete features in 0-1 mode.

[0039] In the present application, patient data includes body temperature, blood pressure, heart rate, respiratory rate, peripheral oxygen saturation (SpO2), Glasgow coma score (GCS), blood oxygen content, pupil change, respiration, response to external stimulation, continuous urine volume, and consciousness, etc. In the specification of the present application, the patient data is not specifically limited.

[0040] At present, the existing pre-hospital emergency treatment is that after a patient calls 120, an ambulance is assigned by an emergency center, and the ambulance reaches the designated location according to the address provided by the patient. The on-board doctor performs emergency treatment on the patient on the ambulance. Before the ambulance reaches the hospital, the on-board doctor will take emergency measures for the patient, and judges the condition of the patient through the data of the medical equipment. According to the condition of the patient, the existence of a malignant condition of the patient is predicted. When the patient is predicted by a person, one item of data is missed; the prediction result is analyzed incorrectly, and then the ambulance cannot be used in the time before entering the hospital.

[0041] How to use the ambulance to enter the hospital before this period of time, pre-treatment of patients, is the problem to be solved. The embodiment of the application provides an emergency method for pre-hospital medical treatment, which is applied to a medical treatment platform of an ambulance. The application takes the rescue of patients in the ambulance as an example, and the medical treatment platform of the ambulance refers to the platform on the hospital ambulance. Figure 1 is a flowchart of an emergency method for pre-hospital medical treatment provided by the embodiment of the application; with reference to Figure 1 The method comprises the following steps S101-S104.

[0042] Step S101: Obtain first patient data of a medical device.

[0043] In the above steps, the medical device refers to various instruments and equipment on the ambulance, and the first patient data includes one or more of the body temperature, blood pressure, heart rate and respiratory rate of the patient. The various instruments and equipment on the ambulance establish a communication link with the medical treatment platform of the ambulance, and the medical treatment platform of the ambulance obtains the patient data of the instrument equipment on the ambulance through communication.

[0044] For example, after patient A calls 120, the emergency center allocates an ambulance to the patient's location according to the patient's location. After the ambulance arrives at the designated location of patient A, patient A is carried to the ambulance, and patient A is checked by the instrument equipment on the ambulance. After the preliminary examination, the medical treatment platform of the ambulance obtains the data of the patient checked by the instrument equipment on the ambulance. The body temperature of patient A is 36.9 DEG C, the blood pressure of patient A is 130 mmHg, the heart rate of patient A is 110 times per minute, and the respiratory rate of patient A is 25 times per minute. In actual application, the data of the patient is mainly based on the actual situation, which is only an example here.

[0045] Step S102: Obtain a first symptom parameter according to the first patient data.

[0046] In the above steps, the first patient data is pre-processed to obtain a first patient symptom word set; the first patient data is segmented, the segmentation is to segment the first patient data according to the processing order, to obtain a segmentation result. The segmentation result is divided, different data corresponds to different examination results, to obtain the divided key data. The word frequency of the divided key data is calculated and sorted according to the word frequency, and the key data with the top M word frequency is taken as the first patient symptom word set.

[0047] Further, a first similarity between the first patient symptom word set and a first patient symptom parameter is calculated by a word vector cosine algorithm, the first patient symptom parameter being any one patient symptom parameter in the preset model library. A plurality of similarity values are obtained, and it is determined whether the first similarity value is greater than or equal to a preset similarity threshold value, the first similarity value being any one of the plurality of similarity values. If the first similarity value is greater than or equal to the preset similarity threshold value, the first patient data is determined to be the first symptom parameter.

[0048] For example, the first patient data obtained by the medical treatment platform of the ambulance is: body temperature 37.2℃, blood pressure 120mmHg, heart rate 120 beats per minute, and respiratory rate 25 times per minute. The first patient data is preprocessed, the first patient data is segmented, the body temperature data is summarized in the body temperature of serial number 1, the blood pressure data is summarized in the blood pressure of serial number 2, the heart rate data is summarized in the heart rate of serial number 3, and the respiratory rate data is summarized in the respiratory rate of serial number 4. And divided to the corresponding serial number 1 to serial number 4 is 37.2℃, 120mmHg, 120 times per minute and 25 times per minute, to obtain the key data. The vocabulary of the key data is calculated, and the sorting is obtained to obtain the first patient symptom word set C. The first patient symptom word set C and any one patient symptom parameter in the preset model library are calculated by a word vector cosine algorithm; a plurality of similarity values are obtained. When the similarity value is greater than or equal to the preset similarity value threshold value, it is determined that the patient symptom parameter corresponding to the similarity value is the same as the first patient data. The setting of the preset similarity threshold value is mainly based on the actual situation, which will not be exemplified one by one.

[0049] Optionally, if the first similarity value is less than the preset similarity threshold value, it is determined that the first patient data does not correspond to the first symptom parameter; other disease parameters need to be selected for judgment.

[0050] Step S103: matching a first treatment mode corresponding to the first symptom parameter from the preset model library.

[0051] In the above steps, the preset model library includes a corresponding relationship between the preset patient symptom parameter and the preset treatment mode, and the preset model library is constructed according to the historical symptom parameter and the historical treatment mode, wherein one historical symptom parameter corresponds to one historical treatment mode.

[0052] In the hospital system, the basic data of the patient is collected, such as the name, age, gender, clinical diagnosis, contact number and home address of the patient, and the basic situation is recorded and archived, and timely infusion drug, oxygen inhalation, keeping the airway unobstructed and other first aid measures are taken, and the basic vital signs and medical history are collected, and targeted nursing intervention is taken. The vital signs recorded immediately after entering the rescue room are body temperature, systolic pressure, heart rate, respiratory rate, peripheral oxygen saturation (SpO2), Glasgow coma score (GCS), etc. The physiological indicators immediately after entering the rescue room are blood routine, blood sodium, blood potassium, blood urea nitrogen, blood creatinine, blood glucose concentration, etc. According to the patient's condition, the corresponding treatment process and the time of the diagnosis scheme are recorded, which is convenient for subsequent query according to time to make judgment. The above data is pre-stored in a preset model library.

[0053] Further, the age characteristics of the patient can be encoded by dumb speech; the different age characteristics of the patient are quantified as 0-1 vector for formal expression, which is convenient for reasoning and calculation. According to the division of age groups, the age of the patient corresponds to different age states. Figure 2 The embodiment of the present application provides a scene schematic diagram of a pre-hospital medical first aid method, Figure 2 The age is 15 years old, and the corresponding age group is juvenile; the age is 25 years old, and the corresponding age group is youth; the age is 30 years old, and the corresponding age group is middle-aged; the age is 45 years old, and the corresponding age group is middle-aged; the age is 60 years old, and the corresponding age group is old age; according to the age group, the age is divided into four age groups, and what age group corresponds to 1, such as the encoding of the juvenile group is 1000; the encoding of the youth group is 0100; the encoding of the middle-aged group is 0010; the encoding of the old age group is 0001. The disease characteristics corresponding to the symptom parameters are encoded, and the disease characteristics are encoded by using the ICD-10 commonly used coding table. The ICD-10 commonly used coding table is pre-stored in the preset model library. The ICD-10 commonly used coding table is not exemplified here.

[0054] For example, the first symptom parameter is matched with the disease characteristic code to obtain the disease characteristic code f, and the corresponding processing mode g is matched according to the disease characteristic code f.

[0055] In a possible embodiment, the disease corresponding to the condition of the patient is divided according to the risk level, and the processing data corresponding to different risk levels is different, so that the on-site doctor can take corresponding pretreatment measures according to the risk level. The risk level can be divided into four levels, and the standard is 1 level: resuscitation / critical patient, the patient needs immediate emergency assistance; 2 level: critical patient, the patient needs emergency treatment; 3 level: emergency patient, the patient needs to be treated within 30 minutes.

[0056] Step S104: The first treatment mode is displayed to the medical staff, so that the medical staff can pre-treat the patient in the first treatment mode.

[0057] In the above steps, the disease feature code is determined according to the first symptom parameter, and the corresponding treatment mode is matched according to the disease feature code; the matched treatment mode is displayed to the medical staff on the ambulance, so that the medical staff can view the treatment mode and pre-treat the patient. The treatment mode includes infusion, oxygen inhalation, keeping the airway unobstructed, and other first aid measures.

[0058] For example, according to the examination of the patient A, the patient data of the patient A is analyzed, and it is preliminarily judged that the symptom parameter of the patient A is B; the treatment mode corresponding to the symptom parameter B is to immediately oxygenate the patient. The medical staff pre-treats the patient A according to the displayed treatment mode, and uses the time before arriving at the hospital to improve the treatment efficiency of the patient.

[0059] In a possible embodiment, before the ambulance arrives at the hospital, the symptom parameter of the patient and the treatment mode are sent to the hospital, Figure 3 is another flowchart of the pre-hospital emergency method provided by the embodiment of the present application, referring to Figure 3 , comprising steps S301-S302.

[0060] Step S301: The first treatment mode is sent to the first terminal device, and the first terminal device is the reception device of the first hospital. The first hospital is the target hospital.

[0061] In the above steps, the symptom parameter of the patient and the treatment mode are sent to the first terminal device at the same time. After the first terminal device receives the symptom parameter of the patient and the treatment mode, the corresponding emergency doctor is sent a prompt information according to the symptom parameter, prompting the emergency doctor to receive a patient, who is currently on the way to the hospital.

[0062] Step S302: In order to prompt the emergency doctor of the first hospital to prepare for reception.

[0063] In the above steps, the emergency doctor of the first hospital is a doctor arranged according to the patient's condition, rather than an arbitrary department doctor.

[0064] When the first hospital receives the first treatment mode, it will send feedback information to the medical treatment platform of the ambulance. The feedback information means that the first hospital has received the first treatment mode sent by the medical treatment platform of the ambulance, so that the medical staff on the ambulance can know that the first hospital has received the sent information. When the feedback information sent by the first hospital is not received, the first treatment mode is re-sent to the first hospital until the medical treatment platform of the ambulance receives the feedback information.

[0065] For example, according to the condition of patient G, the preset model library matched treatment method is to perform oxygen inhalation on the patient, and surgery is required. The treatment method and the condition of the patient are sent to the receiving device of the target hospital, the target hospital receives the treatment method and the condition of the patient, arranges the corresponding emergency doctor to prepare for receiving, and prepares the equipment and medicines required for the surgery. After the ambulance arrives, the patient is immediately treated.

[0066] Further, when the target hospital cannot receive the patient, a feedback message sent by the first terminal device is received, the feedback message is used to indicate that the first hospital cannot receive the patient, and the ambulance is prompted to transfer the patient to a second hospital, the second hospital is a hospital with an idle emergency department, and the second hospital can receive the patient.

[0067] For example, the first hospital receives the patient data and the treatment method of patient H, but the first hospital is currently treating more patients; the first hospital is currently treating patients and cannot receive the patient. The first terminal device sends feedback information, prompting the first hospital that the patient cannot be received, prompting the ambulance to transfer the patient to another hospital that is idle, and receiving the patient.

[0068] In a possible embodiment, on the ambulance, the patient is checked multiple times using the instruments and equipment of the ambulance to check whether the condition of the patient changes. Figure 4 The present embodiment provides another flowchart of the pre-hospital emergency method, as shown in Figure 4 , which includes steps S401-S404.

[0069] Step S401: After a preset time interval, the second patient data of the equipment is obtained.

[0070] In the above steps, after the first check of the patient on the ambulance, the first patient data of various instruments and equipment on the ambulance is obtained; when the patient is checked for the second time, a preset time interval is set, and after the preset time interval is exceeded, the second patient data of the instruments and equipment on the ambulance is obtained. The second patient data includes one or more of the patient's body temperature, blood pressure, heart rate, and respiratory rate.

[0071] For example, the first check of the patient on the ambulance is performed at 13:20, the preset time is set to 5 minutes, and after 5 minutes, the second check of the patient is performed and the second patient data on the ambulance is obtained. The setting of the preset time is mainly based on the actual situation, which is not limited here.

[0072] Step S402: Calculate the difference between the first patient data and the second patient data.

[0073] In the above step, the similar examination type data in the first patient data and the second patient data are calculated, such as calculating the body temperature of the patient in the first patient data and the body temperature of the patient in the second patient data to obtain a body temperature difference value; calculating the blood pressure of the patient in the first patient data and the blood pressure of the patient in the second patient data to obtain a blood pressure difference value; calculating the heart rate of the patient in the first patient data and the heart rate of the patient in the second patient data to obtain a heart rate difference value; and calculating the respiratory rate of the patient in the first patient data and the respiratory rate of the patient in the second patient data to obtain a respiratory rate difference value.

[0074] Step S403: If the difference value is less than the preset numerical range, a second symptom parameter is obtained according to the second patient data.

[0075] In the above step, the difference values of different data types are set to corresponding preset numerical ranges, and the preset numerical range refers to a normal range in which the patient's condition does not mutate. If the difference value is less than the preset numerical range, it is confirmed that the patient's current examination data does not mutate, and the second symptom parameter corresponding to the second patient data is the same as the first symptom parameter.

[0076] For example, the body temperature of the patient in the first patient data is 37°C, the blood pressure is 110 mmHg, and the heart rate is 100 times per minute; the body temperature of the patient in the second patient data is 37.2°C, the blood pressure is 112 mmHg, and the heart rate is 101 times per minute; the body temperature difference value is 0.2, the blood pressure difference value is 2, and the heart rate difference value is 1; the preset body temperature numerical range is 0-0.5; the preset blood pressure numerical range is 0-5; the preset heart rate numerical range is 0-4; and if the difference value is less than the preset numerical range, it is confirmed that the patient's data does not mutate.

[0077] Step S404: A second processing mode corresponding to the second symptom parameter is matched from a preset model library.

[0078] In the above step, when the difference value between the first patient data and the second patient data is less than the preset numerical range, it is confirmed that the patient's data does not mutate, and the first processing mode is the same as the second processing mode.

[0079] For example, the processing mode of the first patient data is S; when the difference value between the second patient data and the first patient data is less than the preset numerical range, it is confirmed that the second patient data does not mutate, and the processing mode of the second patient data is also S.

[0080] Further, when the difference value between the first patient data and the second patient data is greater than or equal to the preset numerical range, it is confirmed that the patient's data mutates, and the first processing mode is different from the second processing mode.

[0081] For example, the first patient data is that the patient's body temperature is 37℃, the blood pressure is 110mmHg, and the heart rate is 100 times per minute; the second patient data is that the patient's body temperature is 37.7℃, the blood pressure is 125mmHg, and the heart rate is 110 times per minute; the calculated body temperature difference is 0.7, the blood pressure difference is 15, and the heart rate difference is 10; the preset body temperature value range is 0-0.5; the preset blood pressure value range is 0-9; the preset heart rate value range is 0-5; if the difference is greater than the preset value range, it is determined that the patient data has a mutation. According to the second patient data, a new processing mode is matched, which is displayed to the medical staff, so that the medical staff can refer to the new processing mode to pretreat the patient. The setting of the preset value range is mainly based on the actual situation, which is not limited here.

[0082] In a possible embodiment, in order to ensure that the processing mode corresponds to the patient condition, Figure 5 is a flowchart of another pre-hospital emergency method provided by the embodiment of the application, referring to Figure 5 , comprising steps S501-S502.

[0083] Step S501: uploading the first symptom parameter to the second terminal device.

[0084] In the above steps, the second terminal device is the expert of the first hospital, and when the medical staff cannot grasp the patient condition, the symptom parameter of the patient and the processing mode can be uploaded to the expert of the target hospital; the expert of the target hospital checks whether the corresponding processing mode conforms to the current condition of the patient according to the symptom parameter of the patient.

[0085] Step S502: receiving the first indication message sent by the second terminal device.

[0086] In the above steps, the first indication message is used to indicate that the expert agrees to use the first processing mode to pretreat the patient.

[0087] For example, the symptom parameter of the patient H is p, and the processing mode corresponding to the symptom parameter is j; the symptom parameter p and the processing mode j are uploaded to the expert terminal of the target hospital; the expert agrees to take the processing mode j on the patient H according to the symptom parameter p, and sends an indication message to the medical information processing platform of the ambulance, indicating that the processing mode j is agreed to be taken on the patient H.

[0088] Further, the second indication message sent by the second terminal device and the third processing mode are received, the second indication message is used to indicate that the expert disagrees to use the first processing mode to treat the patient, and the third processing mode is the processing mode formulated by the expert according to the first symptom parameter of the patient; the medical staff pretreats the patient according to the third processing mode.

[0089] For example, the symptom parameter of the patient Y is s, and the processing mode corresponding to the symptom parameter is t; the symptom parameter s and the processing mode t are uploaded to the expert end of the target hospital; the expert disagrees with the processing mode t for the patient Y according to the symptom parameter s, and sends an indication message and a third processing mode to the medical information processing platform of the ambulance, the indication message indicates that the processing mode t is disagreed for the patient Y, and the third processing mode is a processing mode formulated by the expert according to the symptom parameter of the patient; the medical staff pre-processes the patient according to the third processing mode.

[0090] By using the above method, the corresponding processing mode is matched according to the patient data during the time when the ambulance enters the hospital, the medical staff pre-processes the patient according to the processing mode, the omission is reduced, the preparation time for processing the patient is saved, the processing efficiency of the patient is improved, the current reception situation of the hospital is learned in time, when the patient's condition is urgent, the patient is arranged to go to other hospitals for treatment according to the reception situation, and the hospital expert can be sent for verification to ensure the correctness of the processing mode.

[0091] The embodiment of the application also provides an emergency device for pre-hospital medical treatment, Figure 6 is a structural schematic diagram of an emergency device for pre-hospital medical treatment provided by the embodiment of the application; referring to Figure 6 The medical treatment platform of the ambulance includes a receiving unit 601, a processing unit 602 and a display unit 603.

[0092] The receiving unit 601 acquires first patient data of a medical device, wherein the medical device is an instrument device on the ambulance, and the first patient data includes one or more of the body temperature, the systolic pressure, the heart rate and the respiratory rate of the patient.

[0093] The processing unit 602 obtains a first symptom parameter according to the first patient data, and matches a first processing mode corresponding to the first symptom parameter from a preset model library.

[0094] The display unit 603 displays the first processing mode to the medical staff, so that the medical staff pre-processes the patient according to the first processing mode.

[0095] In a possible embodiment, the processing unit 602 further includes a first processing subunit, the first processing subunit pre-processes the first patient data to obtain a first patient symptom word set, calculates a first similarity between the first patient symptom word set and a first patient symptom parameter, the first patient symptom parameter is any patient symptom parameter in the preset model library, and if the first similarity value is greater than or equal to a preset similarity threshold, it is determined that the first patient data is the first symptom parameter.

[0096] In a possible implementation, the preset model library in the processing unit 602 includes a correspondence between preset patient symptom parameters and preset treatment methods, and the preset model library is constructed according to historical symptom parameters and historical treatment methods.

[0097] In a possible implementation, the receiving unit 601 sends the first treatment method to a first terminal device, the first terminal device being a reception device of a first hospital, and the first hospital being the target hospital, so as to prompt an emergency doctor of the first hospital to prepare for reception.

[0098] In a possible implementation, the receiving unit 601 receives a feedback message sent by the first terminal device, the feedback message being used to indicate that the first hospital cannot receive the patient, and prompting the ambulance to transfer the patient to a second hospital, the second hospital being a hospital with an idle emergency department and being capable of receiving the patient.

[0099] In a possible implementation, after a preset time interval, the receiving unit 601 acquires second patient data of the device, the second patient data including one or more of a body temperature, a systolic pressure, a heart rate and a respiratory rate of the patient; the processing unit 602 calculates a difference between the first patient data and the second patient data; if the difference is less than a preset numerical range, a second symptom parameter is obtained according to the second patient data; and a second treatment method corresponding to the second symptom parameter is matched from the preset model library.

[0100] In a possible implementation, the receiving unit 601 uploads the first symptom parameter to a second terminal device, the second terminal device being an expert of the first hospital; and receives a first indication message sent by the second terminal device, the first indication message being used to indicate that the expert agrees to use the first treatment method to treat the patient.

[0101] In a possible implementation, the receiving unit 601 receives a second indication message and a third treatment method sent by the second terminal device, the second indication message being used to indicate that the expert disagrees to use the first treatment method to treat the patient, and the third treatment method being a treatment method formulated by the expert according to the first symptom parameter; and the medical staff pre-treats the patient according to the third treatment method.

[0102] It should be noted that the apparatus provided in the above embodiments is only used as an example for dividing the above functional modules, and in actual applications, the above functions can be completed by different functional modules according to needs, that is, the internal structure of the apparatus is divided into different functional modules to complete all or part of the above described functions. In addition, the apparatus and method embodiments provided in the above embodiments belong to the same concept, and the specific implementation process is detailed in the method embodiments, which will not be described here.

[0103] The embodiment of the present application provides an electronic device. As shown in Figure 7As shown, the electronic device 700 can include at least one processor 701, at least one network interface 704, a user interface 703, a memory 705, at least one communication bus 702.

[0104] The communication bus 702 is configured to realize the connection communication between the components.

[0105] The user interface 703 can include a display, a camera, and optionally a standard wired interface and a wireless interface.

[0106] The network interface 704 can optionally include a standard wired interface and a wireless interface (such as a WI-FI interface).

[0107] The processor 701 can include one or more processing cores. The processor 701 connects various parts of the server through various interfaces and lines, executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 705, and calling data stored in the memory 705. Optionally, the processor 701 can be implemented in at least one of a hardware form of a digital signal processing (DSP), a field-programmable gate array (FPGA), and a programmable logic array (PLA). The processor 701 can be integrated with a combination of one or more of a central processing unit (CPU), a graphics processing unit (GPU), and a modem. Among them, the CPU is mainly used to process operating systems, user interfaces, and application requests; the GPU is used to render and draw the content to be displayed on the display; and the modem is used to process wireless communication. It can be understood that the above-mentioned modem can also not be integrated into the processor 701, but can be realized by a separate chip.

[0108] The memory 705 can include a random access memory (RAM) and can also include a read-only memory (ROM). Optionally, the memory 705 includes a non-transitory computer-readable storage medium. The memory 705 can be used to store instructions, programs, codes, code sets, or instruction sets. The memory 705 can include a program storage area and a data storage area, where the program storage area can store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the various method embodiments described above, etc.; the data storage area can store data involved in the various method embodiments described above, etc. The memory 705 can also optionally be at least one storage device located away from the aforementioned processor 701.

[0109] As shown in Figure 7 the memory 705 as a computer storage medium can include an operating system, a network communication module, a user interface module, and an application program for pre-hospital medical emergency.

[0110] In the electronic device 700 as shown in Figure 7 the user interface 703 is mainly used to provide an interface for user input and obtain user input data; and the processor 701 can be used to call the application program for pre-hospital medical emergency stored in the memory 705, and when executed by one or more processors 701, the electronic device 700 performs the method of one or more of the above embodiments.

[0111] It should be noted that, for the foregoing method embodiments, in order to simply describe, they are all expressed as a series of action combinations, but those skilled in the art should know that the present application is not limited to the action sequence described, because according to the present application, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should know that the embodiments described in the specification all belong to preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

[0112] In the above embodiments, the description of each embodiment has its own focus, and the parts not described in detail in a certain embodiment can be referred to the relevant description of other embodiments.

[0113] In several embodiments provided in the present application, it should be understood that the disclosed apparatus can be implemented in other manners. For example, the division of the apparatus embodiments is merely illustrative, and the units can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed mutual couplings or direct couplings or communication connections can be indirect couplings or communication connections through some interfaces, devices or units, and can be in electrical, mechanical or other forms.

[0114] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they can be located in one place, or distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.

[0115] In addition, the functional units in each embodiment of the present application can be integrated into a processing unit, or each unit can be physically present separately, or two or more units can be integrated into one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0116] If the integrated unit is realized in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server or a network device, etc.) to execute all or part of the steps of the methods in the embodiments. The aforementioned storage medium includes: U disk, mobile hard disk, magnetic disk or optical disk, and various program codes that can be stored.

[0117] The above are only exemplary embodiments of the present disclosure, and cannot limit the scope of the present disclosure. That is, any equivalent changes and modifications made in accordance with the teachings of the present disclosure are still within the scope of the present disclosure. Other embodiments of the present disclosure will be readily apparent to those skilled in the art upon considering the specification and practicing the true principles of the present disclosure. The present application is intended to cover any variations, uses or adaptive changes of the present disclosure that follow the general principles of the present disclosure and include common knowledge or conventional techniques in the art that are not described in the present disclosure.

Claims

1. An emergency device for pre-hospital care, characterized in that The device is a medical treatment platform of an ambulance, and the medical treatment platform of the ambulance comprises a receiving unit, a processing unit and a display unit; The receiving unit acquires first patient data of a medical device, wherein the medical device is an instrument device on the ambulance, and the first patient data comprises one or more of body temperature, systolic pressure, heart rate and respiratory rate of a patient; The processing unit obtains a first symptom parameter according to the first patient data, matches a first processing mode corresponding to the first symptom parameter from a preset model library, and further comprises a first processing subunit, which pre-processes the first patient data to obtain a first patient symptom word set; A first similarity between the first patient symptom word set and the first patient symptom parameter is calculated, the first patient symptom parameter is any one patient symptom parameter in the preset model library, and if the first similarity value is greater than or equal to a preset similarity threshold, the first patient data is determined as the first symptom parameter; the preset model library in the processing unit comprises a corresponding relationship between a preset patient symptom parameter and a preset processing mode, and the preset model library is constructed according to historical symptom parameters and historical processing modes, wherein one historical symptom parameter corresponds to one historical processing mode, disease characteristics corresponding to the symptom parameter are coded, the first symptom parameter is matched with the disease characteristic code to obtain a disease characteristic code, and the first processing mode corresponding to the disease characteristic code is matched according to the disease characteristic code; The first patient data is segmented to obtain a segmentation result, the segmentation result is divided to obtain divided key data, the word frequency of the divided key data is calculated and sorted according to the word frequency, and the key data with the top M word frequencies are taken as the first patient symptom word set; The display unit displays the first processing mode to medical staff, so that the medical staff pre-processes the patient according to the first processing mode.

2. The apparatus of claim 1, wherein, The receiving unit The first processing mode is sent to a first terminal device, the first terminal device is a reception device of a first hospital, and the first hospital is a target hospital; So as to prompt an emergency doctor of the first hospital to prepare for reception.

3. The apparatus of claim 2, wherein, The receiving unit The receiving unit receives a feedback message sent by the first terminal device, and the feedback message is used to indicate that the first hospital cannot receive the patient, and prompt the ambulance to transfer the patient to a second hospital, the second hospital is a hospital with an idle emergency department, and the second hospital can receive the patient.

4. The apparatus of claim 1, wherein, The device further comprises: After a preset time interval, the receiving unit acquires second patient data of a medical device, and the second patient data comprises one or more of body temperature, blood pressure, heart rate and respiratory rate of a patient; The processing unit is configured to calculate a difference between the first patient data and the second patient data; If the difference is within a preset numerical range, a second symptom parameter is obtained according to the second patient data; A second processing mode corresponding to the second symptom parameter is matched from the preset model library.

5. The apparatus of claim 3, wherein, the receiving unit uploads the first symptom parameter to a second terminal device, the second terminal device being a specialist device of the first hospital; receiving a first indication message sent by the second terminal device, the first indication message being used to indicate that the specialist agrees to treat the patient using the first treatment mode.

6. The apparatus of claim 5, wherein, the receiving unit receiving a second indication message sent by the second terminal device and a third treatment mode, the second indication message being used to indicate that the specialist disagrees to treat the patient using the first treatment mode, the third treatment mode being a treatment mode formulated by the specialist according to the first symptom parameter; the medical staff pre-treats the patient according to the third treatment mode.

7. An electronic device, comprising: An electronic device comprising a processor, a memory, a user interface, and a network interface, the memory being configured to store instructions, the user interface and the network interface being configured to communicate with other devices, and the processor being configured to execute the instructions stored in the memory to cause the electronic device to perform the apparatus of any one of claims 1-6.

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