Emergency patient severity classification system and method

Abstract

The present invention relates to an emergency patient severity classification system and method, the system including a basic information unit that acquires data related to basic information of a patient, a hospital visit information unit that acquires data related to hospital visit information of the patient, a symptom search unit that acquires data related to symptoms of the patient, and a severity classification unit that automatically classifies the severity of an emergency patient based on at least the data acquired by the symptom search unit out of the data acquired by the basic information unit, the hospital visit information unit, and the symptom search unit.

Description

[Technical Field]

[0001] The present invention relates to a system and method for classifying patients into severity levels in an emergency situation, enabling treatment according to the patient's severity, and enabling any medical professional to easily and accurately classify the severity level to provide prompt emergency medical care. [Background technology]

[0002] Triage refers to categorizing patients by symptoms to determine priority for first aid and patient transfer. In particular, the Korean Triage and Acuity Scale (KTAS) classifies the severity of all patients who visit the emergency room according to standardized criteria.

[0003] Figure 1 shows the KTAS grading system, a standardized system for classifying the severity of emergency patients. Referring to Figure 1, severity is classified into five grades, with lower grade numbers indicating higher treatment priority. The grades are classified as follows: Emergency 1 for patients in a life-threatening condition requiring immediate medical treatment; Emergency 2 for patients who are at risk of developing a life-threatening condition and require medical treatment within one hour; Emergency 3 for patients who are not currently in a life-threatening condition but are at risk of developing a serious condition and require medical treatment within two hours (but less than one hour); Emergency 4 for patients who are not in a critical condition and whose condition is unlikely to worsen even if treated within three hours (but less than two hours); and Emergency 5 for non-emergency patients who require medical treatment within four hours (but less than three hours). Priority of emergency medical treatment is determined according to the severity of the condition, and first aid and transportation priorities are assigned based on the severity of the patient's condition.

[0004] However, when a large number of patients emerge, it is difficult to categorize each and every severity in an emergency situation, as limited personnel must provide the best possible medical care to many patients. Furthermore, even non-specialized personnel may need to categorize patients into mild and severe cases and prioritize them for first aid and transportation. This is a more important issue than the limitations of available equipment and resources or the complexity of the severity classification system; the problem is that in an emergency, there is not enough time to assess and treat patients, and there is not enough time to allocate to severity classification. Summary of the Invention [Problem to be solved by the invention]

[0005] The present invention is intended to solve the above-mentioned problems, and aims to provide an emergency patient severity classification system and method that automatically classifies the severity of emergency patients, enabling medical staff to provide emergency medical care to patients quickly according to the priority of severity. [Means for solving the problem]

[0006] An exemplary embodiment of the present invention provides an emergency patient severity classification system, including: a basic information unit that acquires data related to basic information of a patient; a hospital visit information unit that acquires data related to hospital visit information of the patient; a symptom search unit that acquires data related to symptoms of the patient; and a severity classification unit that automatically classifies the severity of an emergency patient based on at least data acquired by the symptom search unit among data acquired by the basic information unit, the hospital visit information unit, and the symptom search unit.

[0007] Furthermore, another exemplary embodiment of the present invention provides a method for classifying the severity of an emergency patient, which is executed by a processor, and includes: a basic information input step of acquiring data related to basic information of a patient; a hospital visit information input step of acquiring data related to hospital visit information of the patient; a symptom search step of acquiring data related to symptoms of the patient; and a severity classification step of automatically classifying the severity of the emergency patient based on at least data acquired in the symptom search step among data acquired in the basic information input step, the hospital visit information input step, and the symptom search step.

[0008] In one exemplary embodiment of the system, the data acquired in the basic information section may be at least one of the patient's gender and date of birth.

[0009] In one exemplary embodiment of the system, the data acquired by the visit information unit may be at least one measurement of the patient's systolic blood pressure, diastolic blood pressure, pulse, respiration, body temperature, oxygen saturation (SpO2), and Glasgow Coma Scale (GCS).

[0010] In an exemplary embodiment of the system, the data acquired by the symptom search unit is information related to one or more main symptoms of the patient, and the symptom search unit may be configured to input the patient's symptoms as search terms, search for a plurality of main symptoms related to the input search terms, and present the searched plurality of main symptoms to the user so that the user can select at least one main symptom.

[0011] In an exemplary embodiment, the system further includes a classification progression unit that is activated before the severity classification unit classifies the severity of the patient and presents and selects detailed symptoms related to one or more main symptoms acquired by the symptom search unit. The classification progression unit may automatically select some or all of the presented detailed symptoms based on data acquired by the hospital visit information unit, or may be deactivated to prevent a user from selecting the detailed symptoms. The severity classification unit may automatically classify the severity of the emergency patient according to priority based on the detailed symptoms selected by the classification progression unit or the symptom search unit.

[0012] In an exemplary embodiment of the system, the severity classification unit may classify the severity of at least one symptom item of the emergency patient according to each detailed symptom, and may classify the highest priority among the priorities corresponding to the severity of the classified symptom items as the severity of the emergency patient.

[0013] In an exemplary embodiment of the system, the detailed symptoms may further include a first group of symptom items or a second group of symptom items for each specific symptom, and the severity classification unit may classify the severity based on the selected symptom items of the first group or the second group, and the primary considerations of the first group may be related to the level of consciousness, hemodynamic state, respiratory state, and body temperature state, and the primary considerations of the second group may be related to the bleeding state, accident mechanism, acute or chronic central pain, and acute or chronic peripheral pain.

[0014] In an exemplary embodiment of the system, the detailed symptoms further include a third group of symptom items consisting of necessary symptom items for each main symptom for each specific symptom, and the third group of symptom items is objective information that may or may not be used preferentially to classify the severity of the symptom depending on the user, and the severity classification unit may further classify the severity based on the necessary symptom items for each selected main symptom.

[0015] In an exemplary embodiment of the system, the severity is based on the Korea Emergency Assessment Assistance System (KTAS), and the severity is classified into grades, with the lower the grade number, the higher the priority of treatment. The grades may be classified as follows: Emergency Grade 1 for a patient who is in a life-threatening state and requires immediate treatment; Emergency Grade 2 for a patient who is at risk of becoming life-threatening and requires treatment within the first hour; Emergency Grade 3 for a patient who is not currently in a life-threatening state but is at risk of becoming seriously ill and requires treatment within the second hour, but later than the first hour; Emergency Grade 4 for a patient who is not in a critical state and whose condition is unlikely to worsen even if treated within the third hour, but later than the second hour; and Emergency Grade 5 for a non-emergency patient who requires treatment within the fourth hour, but later than the third hour.

[0016] In an exemplary embodiment of the system, the classification progress unit may present and select detailed symptoms appropriate for the patient's age based on the patient's date of birth among the data acquired in the basic information unit.

[0017] In the system of an exemplary embodiment, when the symptom search unit acquires data on a first major symptom indicating an overdose, a second major symptom indicating a depressed state, a third major symptom indicating an anxious state, and a fourth major symptom indicating a seizure, the classification proceeding unit may present a screen including at least one detailed symptom item from among a first detailed symptom item of a highly dangerous or unidentified substance associated with the first to fourth major symptoms, a second detailed symptom item of a risk to safety or a possibility of escape, a third detailed symptom item of a planned suicide attempt, a fourth detailed symptom item of suicidal ideation without a specific plan, a fifth detailed symptom item of an overdose, a sixth detailed symptom item of severe anxiety, a seventh detailed symptom item of a clear suicidal intent, an eighth detailed symptom item of depression but no suicidal ideation, a ninth detailed symptom item of a current seizure, a tenth detailed symptom item of a post-seizure state, and an eleventh detailed symptom item of a recovered state or clear consciousness.

[0018] In an exemplary embodiment of the system, when the symptom search unit acquires data on a first main symptom indicating an allergy, a second main symptom indicating a sting, and a third main symptom indicating a foreign body or skin disease, the classification proceeding unit may present a screen including at least one of a first detailed symptom item of severe dyspnea, a second detailed symptom item of shock, a third detailed symptom item of unconsciousness, a fourth detailed symptom item of moderate dyspnea, a fifth detailed symptom item of hemodynamic disorder, a sixth detailed symptom item of altered consciousness, a seventh detailed symptom item of fever and immunosuppressed state, an eighth detailed symptom item of suspected sepsis, a ninth detailed symptom item of mild dyspnea, a tenth detailed symptom item of abnormal pulse rate, an eleventh detailed symptom item of whether the fever satisfies the SIRS criteria, and a twelfth detailed symptom item of acute peripheral severe pain.

[0019] In one exemplary embodiment, the system may automatically select at least one of the first detailed symptom item of severe dyspnea, the second detailed symptom item of shock, and the third detailed symptom item of unconsciousness, and may present a screen in which at least one of the fourth detailed symptom item of moderate dyspnea, the fifth detailed symptom item of hemodynamic impairment, the sixth detailed symptom item of altered consciousness, the seventh detailed symptom item of fever and immunosuppressed state, the eighth detailed symptom item of suspected sepsis, the ninth detailed symptom item of mild dyspnea, the tenth detailed symptom item of abnormal pulse rate, and the eleventh detailed symptom item of whether the fever satisfies the SIRS criteria is inactivated.

[0020] In an exemplary embodiment, the data acquired in the step of inputting basic information may be at least one of the patient's gender and date of birth.

[0021] In one exemplary embodiment of the method, the data acquired in the visit information input step may be at least one measurement value of the patient's systolic blood pressure, diastolic blood pressure, pulse, respiration, body temperature, oxygen saturation (SpO2), and Glasgow Coma Scale (GCS).

[0022] In one exemplary embodiment of the method, the data acquired in the symptom search step is information related to one or more main symptoms of the patient, and the symptom search step may be configured to input the patient's symptoms as search terms, search for multiple main symptoms related to the input search terms, and present the searched multiple main symptoms so that the user can select at least one main symptom.

[0023] In an exemplary embodiment, the method may further include a classification progress step that, when activated before classifying the severity of the patient, presents and selects detailed symptoms related to one or more main symptoms acquired in the symptom search step. The classification progress step may automatically select some or all of the presented detailed symptoms based on data acquired in the hospital visit information input step, or may be deactivated so that a user cannot select them. The severity classification step may automatically classify the severity of the emergency patient according to priority based on the detailed symptoms selected in the classification progress step or the symptom search step.

[0024] In one exemplary embodiment of the method, the severity classification step may classify the severity of at least one symptom item of the emergency patient according to each detailed symptom, and classify the highest priority among the priorities corresponding to the severity of the classified symptom items as the severity of the emergency patient. [Effects of the Invention]

[0025] The emergency patient severity classification system and method according to the present invention allows patients to be classified by severity in an emergency situation, enabling responses to be made according to the patient's severity, and also allows any medical professional to easily and accurately classify the severity and provide prompt emergency medical care.

[0026] The effects of the present invention are not limited to the effects described above, and other effects not mentioned herein will be clearly understood by those skilled in the art from the claims.

[0027] In order to more clearly explain the technical solutions of the embodiments of the present invention or the prior art, the drawings necessary for the description of the embodiments are briefly introduced below. It should be understood that the following drawings are only for explaining the embodiments of the present specification and are not intended to limit the present invention. In addition, for clarity of explanation, the following drawings may show some elements with various modifications such as exaggeration and omission. [Brief explanation of the drawings]

[0028] [Figure 1] The KTAS grading system is a standardized system that serves as a standard for classifying the severity of existing emergency patients. [Figure 2] 1 is a schematic diagram of an emergency patient severity classification system according to one embodiment of the present invention; [Figure 3] 1 is a flowchart of a method for classifying emergency patient severity according to an embodiment of the present invention. [Figure 4] 10 is an image showing a classification process for presenting and selecting detailed symptoms related to a main symptom according to an embodiment of the present invention. [Figure 5] 10 is an image showing a classification process for presenting and selecting detailed symptoms related to a main symptom based on data acquired in a hospital visit information input step according to an embodiment of the present invention. [Figure 6] 10 is an image illustrating a process of finally classifying the level of an emergency patient in the severity classification step according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0029] The terminology used herein is for the purpose of referring to particular embodiments and is not intended to limit the present invention. As used herein, the singular forms "a," "an," and "the" include the plural forms unless the context clearly dictates otherwise. As used herein, "comprising" means embodying certain properties, regions, integers, steps, operations, items, and / or components, and does not mean excluding the presence or addition of other properties, regions, integers, steps, operations, items, and / or components.

[0030] Unless otherwise defined, all terms, including technical and scientific terms, used herein have the same meaning as commonly understood by a person of ordinary skill in the art to which the present invention pertains. Terms defined in commonly used dictionaries are additionally interpreted as having a meaning consistent with the relevant technical literature and the presently disclosed content, and are not interpreted as having an ideal or very formal meaning unless defined.

[0031] Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

[0032] FIG. 2 is a schematic diagram of an emergency patient severity classification system according to one embodiment of the present invention.

[0033] Referring to FIG. 2, the emergency patient severity classification system 1 may include a basic information section 11, a hospital visit information section 13, a symptom search section 15, a classification progress section 17, and a severity classification section 19.

[0034] The basic information unit 11 acquires data related to the patient's basic information. The data may be at least one of the patient's gender and date of birth. The user can select the gender by clicking either male or female.

[0035] The visit information unit 13 acquires data related to the patient's visit information. The data may be at least one measurement value of the patient's systolic blood pressure, diastolic blood pressure, pulse, respiration, body temperature, oxygen saturation (SpO2), and Glasgow Coma Scale (GCS). When a user clicks on a measurement value input field on the display, a keypad may be activated so that the user can input a value. The data acquired by the visit information unit may then be used to automatically classify a KTAS grade as a primary consideration for vitality signs. In the case of body temperature, input up to one decimal place is possible, but is not limited to this. Even if not all of the multiple measurement values ​​are input, only the input measurement values ​​may be used as a primary consideration for vitality signs.

[0036] The data acquired by the symptom search unit 15 is information related to one or more main symptoms of the patient. The symptom search unit 15 may be configured to input the patient's symptoms as search terms, search for multiple main symptoms related to the input search terms, and present the searched multiple main symptoms so that the user can select at least one main symptom. Multiple symptoms may be input as the main symptoms, and input of one or more symptoms is a required field. The selected main symptoms can be modified by adding or deleting.

[0037] The severity classification unit 19 automatically classifies the severity of the emergency patient based on at least the data acquired by the symptom search unit among the data acquired by the basic information unit, the hospital visit information unit, and the symptom search unit. In one embodiment, the severity may be based on the Korean Transient Assessment Assistance System (KTAS). The emergency patient severity classification system 1 may further include a classification progression unit 17 that, when activated before the severity classification unit classifies the patient's severity, presents and allows a user to select detailed symptoms related to one or more major symptoms acquired by the symptom search unit. The classification progression unit 17 automatically selects some or all of the presented detailed symptoms based on the data acquired by the hospital visit information unit 13, or deactivates the classification unit 17 so that the user cannot select the detailed symptoms, allowing the severity classification unit 19 to automatically classify the severity of the emergency patient according to priority based on the detailed symptoms selected by the classification progression unit 17. The severity classification unit 19 may classify the severity of the emergency patient for at least one symptom item according to each detailed symptom, and may classify the highest priority among the priorities corresponding to the severity of the classified symptom items as the severity of the emergency patient. The classification progress unit 17 enables searching for each detailed symptom according to 17 medical department items (adult / pediatric).

[0038] The objective information for each symptom includes a plurality of items. In one embodiment, the objective information for each symptom includes a first group of symptom items and a second group of symptom items. The symptom items included in the first and second groups are items preferentially used to classify the severity of the symptom and may be referred to as primary considerations. The symptom items in the first group are objective information related to the main symptoms of each specific symptom, and are mostly objective information on vital signs. For example, the symptom items in the first group may include information related to the level of consciousness, hemodynamic status, respiratory status, and / or temperature status. The symptom items in the second group are objective information on other primary considerations, excluding the information on the primary consideration of vital signs in the first group, among the objective information related to each specific symptom. For example, the symptom items in the second group may include information related to bleeding status, accident mechanism, acute or chronic central pain, and acute or chronic peripheral pain. The symptom items in the first and second groups may have different values ​​for the same item depending on the symptom.

[0039] The detailed symptoms further include a third group of symptom items consisting of necessary symptom items for each main symptom for each specific symptom, and the third group of symptom items is objective information that may or may not be used preferentially to classify the severity of the symptom depending on the user, and the severity classification unit 19 may classify the severity based on the necessary symptoms for each selected main symptom.

[0040] The classification proceeding unit 17 may be configured to present and select detailed symptoms appropriate for the age of the patient based on the patient's date of birth from the data acquired by the basic information unit 11. The age may be set at 15 years old as the standard, and the classification proceeding unit 17 may proceed with classification by dividing emergency patients into adult and pediatric emergency patients, but the standard age is not limited to this.

[0041] A method for classifying the severity of an emergency patient according to another aspect of the present invention is executed by a computing device including a processor. The computing device including the processor may be executed by, for example, the emergency patient severity classification system 1 or some of its components (e.g., the basic information unit 11, the hospital visit information unit 13, the symptom search unit 15, the classification progress unit 17, and the severity classification unit 19), or may be executed by another computing device. For clarity of explanation, the present invention will be described in more detail below with reference to an embodiment in which the emergency patient severity classification method is executed by the emergency patient severity classification system 1.

[0042] FIG. 3 is a flowchart of a method for classifying the severity of an emergency patient according to an embodiment of the present invention.

[0043] Referring to FIG. 3, the method for classifying the severity of an emergency patient may include a basic information input step (S21) of acquiring data related to the patient's basic information (e.g., by the basic information unit 11), a hospital visit information input step (S23) of acquiring data related to the patient's hospital visit information (e.g., by the hospital visit information unit 13), a symptom search step (S25) of acquiring data related to the patient's symptoms (e.g., by the symptom search unit 15), and a severity classification step (S29) of automatically classifying the severity of the emergency patient based on at least the data acquired in the symptom search step out of the data acquired in the basic information input step, the hospital visit information input step, and the symptom search step (e.g., by the severity classification unit 19).

[0044] The symptom search step (S25) may be configured to input a patient's symptoms as a search term, and to present multiple main symptoms related to the input search term so that the user can select a main symptom. Multiple symptoms may be input as the main symptoms, and input of at least one symptom is mandatory. The selected main symptoms may be modified by the user by adding or deleting them.

[0045] When the severity classification step (S29) is activated before classifying the severity of the patient, the method for classifying the severity of the emergency patient may further include a classification proceeding step (S27) for presenting and selecting detailed symptoms related to one or more main symptoms acquired in the symptom search step. The classification proceeding step (S27) automatically selects some or all of the presented detailed symptoms based on the data acquired in the hospital visit information input step (S23), or deactivates the step so that the detailed symptoms cannot be selected by the user, allowing the severity classification step (S29) to automatically classify the severity of the emergency patient according to priority based on the detailed symptoms selected in the classification proceeding step (S27).

[0046] FIG. 4 is an image illustrating a classification process for presenting and selecting detailed symptoms related to a main symptom according to one embodiment of the present invention.

[0047] Referring to FIG. 4, the classification progress step (S27) may be activated before the severity classification step (S29) classifies the severity of the patient, and may present and select detailed symptoms related to one or more main symptoms acquired by the symptom search unit. As shown in FIG. 4, when the symptom search unit acquires data on a first major symptom indicating an overdose, a second major symptom indicating a depressed state, a third major symptom indicating an anxious state, and a fourth major symptom indicating a seizure, the classification progress step (S27) may present a screen including at least one detailed symptom item from among a first detailed symptom item of a highly dangerous or unidentified substance related to the first to fourth major symptoms, a second detailed symptom item of a risk to safety or a possibility of escape, a third detailed symptom item of a planned suicide attempt, a fourth detailed symptom item of suicidal ideation without a specific plan, a fifth detailed symptom item of an overdose, a sixth detailed symptom item of severe anxiety, a seventh detailed symptom item of a clear suicidal intent, an eighth detailed symptom item of depression but no suicidal ideation, a ninth detailed symptom item of a current seizure, a tenth detailed symptom item of a post-seizure state, and an eleventh detailed symptom item of a recovered state or clear consciousness. If there is a corresponding item for the presented additional detailed symptom, the severity classification step (S29) may be performed after the user selects the corresponding item, and if there is no corresponding item for the additional detailed symptom, the severity classification step (S29) may be performed immediately without the user's selection.

[0048] FIG. 5 is an image showing a classification process for presenting and selecting detailed symptoms related to the main symptom based on data acquired in the hospital visit information input step (S23) according to one embodiment of the present invention.

[0049] Referring to FIG. 5, the classification proceeding step (S27) automatically selects some or all of the detailed symptoms presented based on the data acquired in the hospital visit information input step (S23), or deactivates them so that the user cannot select them, and the severity classification step (S29) automatically classifies the severity of the emergency patient according to priority based on the detailed symptoms selected in the classification proceeding step (S27).

[0050] The classification step (S27) is configured to present some or all of the symptom items by applying the value of each input item to a predefined rule, which consists of a value for each input item, a criterion to which the value is compared, and a symptom item pre-associated with the criterion.

[0051] As shown in Figure 5, based on the systolic blood pressure (80), oxygen saturation (77), and Glasgow Coma Scale (8) information acquired in the visit information input step (S23), some items are automatically selected according to the values ​​of each item. When the systolic blood pressure (80), oxygen saturation (77), and Glasgow Coma Scale (8) are input, the classification progress step (S27) applies the respective values ​​(80, 77, 8) to the pre-set rules. Then, the items severe dyspnea, shock, and unconsciousness are automatically selected and presented to the user.

[0052] When the symptom search step (S25) acquires the first main symptom indicating an allergy, the second main symptom indicating a sting, and the third main symptom indicating a foreign body or skin disease, the classification proceeding step (S27) displays a screen including at least one of the first detailed symptom item of severe dyspnea, the second detailed symptom item of shock, the third detailed symptom item of unconsciousness, the fourth detailed symptom item of moderate dyspnea, the fifth detailed symptom item of hemodynamic disorder, the sixth detailed symptom item of altered consciousness, the seventh detailed symptom item of fever and immunosuppressed state, the eighth detailed symptom item of suspected sepsis, the ninth detailed symptom item of mild dyspnea, the tenth detailed symptom item of abnormal pulse rate, the eleventh detailed symptom item of whether the fever satisfies the SIRS criteria, and the twelfth detailed symptom item of acute severe peripheral pain.

[0053] In addition, at least one of the first detailed symptom item of severe dyspnea, the second detailed symptom item of shock, and the third detailed symptom item of unconsciousness is automatically selected, and at least one of the fourth detailed symptom item of moderate dyspnea, the fifth detailed symptom item of hemodynamic disorder, the sixth detailed symptom item of altered consciousness, the seventh detailed symptom item of fever and immunosuppressed state, the eighth detailed symptom item of suspected sepsis, the ninth detailed symptom item of mild dyspnea, the tenth detailed symptom item of abnormal pulse rate, and the eleventh detailed symptom item of whether the fever satisfies the SIRS criteria is deactivated. Such automatic selection and deactivation functions reduce unnecessary input and minimize repetitive tasks to reach the severity classification step (S29), thereby enabling the severity of the emergency patient to be classified quickly.

[0054] FIG. 6 is an image illustrating a process of finally classifying the severity level of an emergency patient in the severity classification step according to an embodiment of the present invention.

[0055] Referring to FIG. 6, a list of KTAS grades may be generated for each of the main symptoms and detailed symptoms based on the information entered in the severity classification step (S29), each main symptom, and its associated detailed symptoms. By displaying different KTAS grade results according to the entered information, users can easily compare the grades at a glance. The detailed symptoms may further include a primary consideration related to vital signs associated with a particular main symptom or other primary considerations. The primary considerations related to vital signs may relate to the level of consciousness, hemodynamic status, respiratory status, and temperature status, while the other primary considerations may relate to bleeding status, accident mechanism, acute or chronic central pain, and acute or chronic peripheral pain. In addition to providing individual KTAS grades according to the detailed symptom items for each main symptom, the severity classification step (S29) may present the final KTAS grade with the lowest number of grades (highest treatment priority) among the KTAS grades, and provide treatment direction by presenting the main symptom and detailed symptom items.

[0056] This system and method for classifying emergency patient severity allows patients in emergency situations to be classified by severity, enabling responses based on the patient's severity, and enabling all medical professionals to easily and accurately classify severity and provide prompt emergency medical care.

[0057] The operations of the emergency patient severity classification method according to the above-described embodiment may be at least partially implemented in a computer program and stored in a computer-readable recording medium, for example, a program product including a computer-readable medium containing program code, which may be executed by a processor to perform any or all of the steps, operations, or processes described.

[0058] Another aspect of the present invention provides a method for categorizing an emergency patient's severity level. The method may be performed by a computing device including a processor. The computing device may be a desktop computer, a laptop computer, a notebook, a smartphone, or any other similar computing device that may be integrated with these. A computer is a device having one or more alternative and special-purpose processors, memory, storage space, and networking components (either wireless or wired). The computer may run an operating system such as, for example, a Microsoft® Windows®-compatible operating system, Apple® OS X® or iOS, a Linux® distribution, or Google® Android® OS.

[0059] The computer-readable recording medium includes any type of recording identification device in which computer-readable data is stored. Examples of the computer-readable recording medium include ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage identification device, etc. The computer-readable recording medium may also be distributed among computer systems connected via a network, so that computer-readable code is stored and executed in a distributed manner. Functional programs, codes, and code segments for implementing the present embodiment should be easily understood by those skilled in the art to which the present embodiment pertains.

[0060] The present invention has been described above with reference to the embodiments shown in the drawings. However, these are merely illustrative, and it will be understood by those skilled in the art that various modifications and variations are possible. However, such modifications and variations should be considered to be within the technical scope of protection of the present invention. Therefore, the true technical scope of protection of the present invention should be determined by the technical spirit of the appended claims. [Industrial Applicability]

[0061] The system and method for classifying emergency patient severity according to an embodiment of the present invention allows for classification of patients by severity in an emergency situation, enabling responses according to the patient's severity state, and also allows any medical professional to easily and accurately classify the severity and provide prompt emergency medical care.

Claims

1. In the emergency patient severity classification system, a basic information unit for acquiring data related to basic information of a patient; a visit information unit that acquires data related to the patient's visit information; a symptom search unit for acquiring data related to the patient's symptoms; a severity classification unit that automatically classifies the severity of an emergency patient based on at least the data acquired by the symptom search unit among the data acquired by the basic information unit, the hospital visit information unit, and the symptom search unit; a classification progress unit that, when activated before the severity classification unit classifies the severity of the patient, presents and selects detailed symptoms related to one or more main symptoms acquired by the symptom search unit, The classification progress unit automatically selects some or all of the presented detailed symptoms based on the data acquired by the hospital visit information unit, or deactivates them so that the user cannot select them; The severity classification unit automatically classifies the severity of the emergency patient according to priority based on the detailed symptoms selected by the classification progress unit or the symptom search unit. Emergency patient severity classification system.

2. 2. The emergency patient severity classification system according to claim 1, wherein the data acquired in the basic information section is at least one of the patient's gender and date of birth.

3. 2. The emergency patient severity classification system of claim 1, wherein the data acquired by the visit information unit is at least one measurement value of the patient's systolic blood pressure, diastolic blood pressure, pulse, respiration, body temperature, oxygen saturation (SpO2), and Glasgow Coma Scale (GCS).

4. the data acquired by the symptom search unit is information related to one or more main symptoms of the patient; 2. The emergency patient severity classification system according to claim 1, wherein the symptom search unit is configured to input the patient's symptoms as search terms, search for multiple main symptoms related to the input search terms, and present the searched multiple main symptoms so that the user can select at least one main symptom.

5. the severity classification unit classifies the severity of the emergency patient by at least one symptom item according to each detailed symptom, The emergency patient severity classification system according to claim 1 , wherein the highest priority among the priorities corresponding to the severity of each classified symptom item is classified as the severity of the emergency patient.

6. The detailed symptoms further include a first group of symptom items or a second group of symptom items for each specific symptom; the severity classification unit classifies the severity based on the selected symptom items of the first group or the second group, and the primary considerations of the first group relate to a level of consciousness, a hemodynamic state, a respiratory state, and a body temperature state; 2. The emergency patient severity classification system of claim 1, wherein the second group of primary considerations relates to bleeding status, accident mechanism, acute or chronic central pain, and acute or chronic peripheral pain.

7. The detailed symptoms further include a third group of symptom items consisting of necessary symptom items for each major symptom for each specific symptom; The symptom items of the third group are objective information that may or may not be used preferentially to classify the severity of the symptom depending on the user, The emergency patient severity classification system according to claim 6 , wherein the severity classification unit further classifies the severity based on the necessary symptoms for each selected main symptom.

8. The severity is based on the Korean Transient Assessment System (KTAS), and the severity is classified into grades. The lower the grade number, the higher the priority of medical treatment. The grades are as follows: Patients who are in a life-threatening condition and require immediate medical treatment are classified as emergency level 1, Patients who are at risk of becoming life-threatening and require medical treatment within the first hour are classified as emergency level 2, Patients who are not currently in a life-threatening condition but are at risk of becoming seriously ill and require medical treatment within the second hour, which is later than the first hour, are classified as emergency level 3. Patients who are not in a critical condition and whose condition is unlikely to worsen even if they receive medical treatment within the third hour, which is later than the second hour, are classified as emergency level 4. Non-emergency patients who require medical treatment within the fourth hour, which is later than the third hour, are classified as emergency level 5, The emergency patient severity classification system according to claim 1, wherein the emergency patient severity classification system is classified into:

9. The emergency patient severity classification system according to claim 1 , wherein the classification progress unit presents and enables selection of detailed symptoms appropriate for the patient's age based on the patient's date of birth among the data acquired by the basic information unit.

10. When the symptom search unit acquires data on a first main symptom indicating an overdose, a second main symptom indicating a depressed state, a third main symptom indicating an anxious state, and a fourth main symptom indicating a seizure, 2. The emergency patient severity classification system of claim 1, wherein the classification proceeding unit presents a screen including at least one detailed symptom item from among a first detailed symptom item of a highly dangerous or unidentified substance associated with the first to fourth major symptoms, a second detailed symptom item of a risk to safety or escape possibility, a third detailed symptom item of a planned suicide attempt, a fourth detailed symptom item of suicidal ideation without a specific plan, a fifth detailed symptom item of an overdose, a sixth detailed symptom item of severe anxiety, a seventh detailed symptom item of clear suicidal intent, an eighth detailed symptom item of depression but no suicidal ideation, a ninth detailed symptom item of a current seizure, a tenth detailed symptom item of a post-ictal state, and an eleventh detailed symptom item of a recovered state or clear consciousness.

11. When the symptom search unit acquires the first main symptom data indicating an allergy, the second main symptom data indicating a sting, and the third main symptom data indicating a foreign body or skin disease, 2. The emergency patient severity classification system of claim 1, wherein the classification progress unit presents a screen including at least one of a first detailed symptom item of severe dyspnea, a second detailed symptom item of shock, a third detailed symptom item of unconsciousness, a fourth detailed symptom item of moderate dyspnea, a fifth detailed symptom item of hemodynamic impairment, a sixth detailed symptom item of altered consciousness, a seventh detailed symptom item of fever and immunosuppressed state, an eighth detailed symptom item of suspected sepsis, a ninth detailed symptom item of mild dyspnea, a tenth detailed symptom item of abnormal pulse rate, an eleventh detailed symptom item of whether fever satisfies the SIRS criteria, and a twelfth detailed symptom item of acute peripheral severe pain.

12. At least one of the first detailed symptom item of severe respiratory distress, the second detailed symptom item of shock, and the third detailed symptom item of unconsciousness is automatically selected; 12. The emergency patient severity classification system of claim 11, wherein at least one of the following detailed symptom items is displayed in an inactivated screen: a fourth detailed symptom item of moderate dyspnea, a fifth detailed symptom item of hemodynamic impairment, a sixth detailed symptom item of altered consciousness, a seventh detailed symptom item of fever and immunosuppressed state, an eighth detailed symptom item of suspected sepsis, a ninth detailed symptom item of mild dyspnea, a tenth detailed symptom item of abnormal pulse rate, and an eleventh detailed symptom item of whether the fever satisfies the SIRS criteria.

13. 1. A method for classifying emergency patient severity levels executed by a processor, comprising: a basic information input step of acquiring data related to basic information of a patient; a visit information input step of acquiring data relating to the patient's visit information; a symptom retrieval step of acquiring data related to the patient's symptoms; a severity classification step of automatically classifying the severity of emergency patients based on at least data acquired in the symptom search step among data acquired in the basic information input step, the hospital visit information input step, and the symptom search step; a classification progress step, which is activated before the severity classification step classifies the severity of the patient, to present and select detailed symptoms related to one or more main symptoms obtained in the symptom search step; The classification proceeding step automatically selects some or all of the detailed symptoms presented based on the data acquired in the hospital visit information input step, or deactivates them so that the user cannot select them; The severity classification step automatically classifies the severity of the emergency patient according to priority based on the detailed symptoms selected in the classification progress step or the symptom search step. Emergency patient severity classification method.

14. The method of claim 13, wherein the data acquired in the step of inputting basic information is at least one of the patient's gender and date of birth.

15. 14. The method of claim 13, wherein the data acquired in the hospital visit information input step is at least one measurement value of the patient's systolic blood pressure, diastolic blood pressure, pulse, respiration, body temperature, oxygen saturation (SpO2), and Glasgow Coma Scale (GCS).

16. The data acquired in the symptom detection step is information related to one or more main symptoms of the patient, 14. The method of claim 13, wherein the symptom search step is configured to input the patient's symptoms as search terms, search for a plurality of main symptoms related to the input search terms, and present the searched plurality of main symptoms so that the user can select at least one main symptom.

17. The severity classification step classifies the severity of at least one symptom item of the emergency patient according to each detailed symptom, The method for classifying severity of an emergency patient according to claim 13, wherein the highest priority among the priorities corresponding to the severity of each classified symptom item is classified as the severity of the emergency patient.

18. A computer-readable recording medium that can be read by a computer and stores program instructions that can be operated by the computer, 14. A computer-readable medium that, when executed by a processor of the computer, causes the processor to perform the method of claim 13.

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