Patient risk dynamic assessment method and device

Abstract

The invention provides a patient risk dynamic assessment method and device, relates to the field of medical health, and solves the technical problems of high assessment result subjectivity and low assessment efficiency caused by manual assessment when a critical patient is assessed in the prior art. The method comprises the steps that clinical index information of a patient is obtained, the clinical index information comprises subjective symptom information and objective index information, and the subjective symptom information comprises subjective evaluation information of a doctor on patient symptoms, subjective self-description information of the patient and / or patient treatment information; the objective index information comprises index information obtained by detecting multiple physiological indexes of the patient; the clinical index information is input into the four-level risk dynamic model, and the risk level of the patient is determined; the output result of the fourth-level risk dynamic model comprises a first-level risk, a second-level risk, a third-level risk or a fourth-level risk; different levels of risks correspond to different rehabilitation treatment schemes. The method is used in a patient risk dynamic assessment process.

Description

Technical Field

[0001] This application relates to the field of medical and health care, and in particular to a method and device for dynamic assessment of patient risk. Background Technology

[0002] When conducting rehabilitation training for critically ill patients, a risk assessment of their health status is necessary first, followed by the development of appropriate rehabilitation treatment measures based on their condition. Currently, risk assessment for critically ill patients typically relies on the experience of physicians, classifying patients into high-risk and non-high-risk categories and implementing corresponding rehabilitation measures for each. This method, which depends on manual assessment, suffers from high subjectivity and low efficiency. Summary of the Invention

[0003] This application provides a method and apparatus for dynamic assessment of patient risk, which solves the technical problems of high subjectivity and low efficiency in the assessment of critically ill patients due to manual assessment in the prior art.

[0004] To achieve the above objectives, this application adopts the following technical solution: Firstly, a method for dynamic assessment of patient risk is provided, comprising: acquiring the patient's clinical indicator information, which includes subjective symptom information and objective indicator information, wherein the subjective symptom information includes the doctor's subjective evaluation of the patient's symptoms, the patient's subjective self-report information and / or the patient's treatment information, and the objective indicator information includes indicator information obtained by detecting multiple physiological indicators of the patient; inputting the clinical indicator information into a four-level risk dynamic model to determine the patient's risk level; the output of the four-level risk dynamic model includes any one of level one risk, level two risk, level three risk, and level four risk; different risk levels correspond to different rehabilitation treatment plans.

[0005] In conjunction with the first aspect mentioned above, one possible implementation involves inputting clinical indicator information into a four-level risk dynamic model to determine the patient's risk level. This includes: grouping the indicators in the clinical indicator information based on the correlation between them; selecting an appropriate fusion method to fuse the indicators within each group based on the characteristics of each group, thereby obtaining a score for each group; fusing the scores of each group to determine the patient's risk status score; and determining the patient's risk level based on the risk status score.

[0006] In conjunction with the first aspect above, in one possible implementation, the clinical indicator information includes at least one of the following: heart rate, respiratory rate (RR), peripheral blood oxygen saturation (SpO2), body temperature, inhaled oxygen concentration (FiO2), blood pressure (BP), mean pulse pressure (MAP), intracranial pressure, recent myocardial infarction, unstable angina, use of high-dose cardiotonic agents, intravenous infusion therapy for hypertensive emergencies, pulmonary hypertension, active bleeding, untreated unstable fracture, and surgically treated unstable fracture. Based on the correlation between various indicators in the patient's clinical information, the indicators were grouped as follows: the patient's clinical information was divided into a vital signs group, a cardiovascular event group, a treatment intervention group, and a trauma event group. The vital signs group included at least one of the following: heart rate, RR, SpO2, body temperature, FiO2, BP, MAP, and intracranial pressure. The cardiovascular event group included at least one of the following: recent myocardial infarction, unstable angina, and pulmonary hypertension. The treatment intervention group included at least one of the following: use of high-dose cardiotonic agents or intravenous infusion for hypertensive emergencies. The trauma event group included at least one of the following: active bleeding, untreated unstable fracture, or surgically treated unstable fracture.

[0007] In conjunction with the first aspect mentioned above, in one possible implementation, based on the characteristics of each group of indicators, a corresponding fusion method is selected to fuse the indicators within each group to obtain a score for each group. This includes: fusing the indicators in the vital signs group based on dynamic weighted summation to obtain a score for the vital signs group; fusing the indicators in the cardiovascular events group based on clinical treatment priority assignment to obtain a score for the cardiovascular events group; fusing the indicators in the treatment intervention group based on logic or rules to obtain a score for the treatment intervention group; and fusing the indicators in the trauma events group based on classification decision trees to obtain a score for the trauma events group.

[0008] In conjunction with the first aspect mentioned above, one possible implementation involves fusing the indicators in the vital signs group based on a dynamic weighted summation method to obtain the score for the vital signs group. This includes: normalizing the indicators in the vital signs group to obtain the normalized value of each indicator; determining the weight of each indicator in the vital signs group; identifying SpO2 and FiO2 as synergistic terms in the vital signs group and assigning weights to the synergistic terms; performing a weighted summation on the normalized values ​​of each indicator based on the weight of each indicator, and adding the weighted summation result to the weighted value of the synergistic terms to obtain the score for the vital signs group.

[0009] In conjunction with the first aspect mentioned above, in one possible implementation, the indicators in the cardiovascular event group are fused based on a clinical treatment priority assignment method to obtain a score for the cardiovascular event group. This includes: assigning values ​​to each indicator in the cardiovascular event group based on the clinical treatment priority of each indicator; summing the values ​​of each indicator to obtain the score for the cardiovascular event group; wherein, in the case of a recent myocardial infarction, the score for the recent myocardial infarction indicator is the first score, and in the case of no recent myocardial infarction, the score for the recent myocardial infarction indicator is the second score; in the case of unstable angina, the score for the unstable angina indicator is the third score, and in the case of no unstable angina, the score for the unstable angina indicator is the second score; in the case of pulmonary hypertension, the score for the pulmonary hypertension indicator is the fourth score, and in the case of no pulmonary hypertension, the score for the pulmonary hypertension indicator is the second score, with the first score being greater than the third score, the third score being greater than the fourth score, and the fourth score being greater than the second score.

[0010] In conjunction with the first aspect mentioned above, in one possible implementation, the indicators in the treatment intervention group are fused based on logic or rules to obtain a score for the treatment intervention group, including: if the indicators in the treatment intervention group indicate the presence of high-dose cardiac stimulants and / or intravenous infusion for hypertensive emergencies, the score for the treatment intervention group is determined to be the fifth score; if the indicators in the treatment intervention group do not indicate the presence of high-dose cardiac stimulants and intravenous infusion for hypertensive emergencies, the score for the treatment intervention group is determined to be the sixth score, with the fifth score being greater than the sixth score.

[0011] In conjunction with the first aspect mentioned above, in one possible implementation, the indicators in the trauma event group are fused based on a classification decision tree to obtain a score for the trauma event group, including: if the indicators in the trauma event group indicate that the patient has active bleeding, the score for the trauma event group is determined to be the seventh score; if the indicators in the trauma event group indicate that the patient does not have active bleeding but has an untreated unstable fracture, the score for the trauma event group is determined to be the eighth score; if the indicators in the trauma event group indicate that the patient does not have active bleeding and has an untreated unstable fracture but has a surgically treated unstable fracture, the score for the trauma event group is determined to be the ninth score; if the indicators in the trauma event group indicate that the patient does not have active bleeding and does not have an unstable fracture, the score for the trauma event group is determined to be the tenth score; wherein, the tenth score is less than the ninth score, the ninth score is less than the eighth score, and the eighth score is less than the seventh score.

[0012] In conjunction with the first aspect above, in one possible implementation, when the risk status score is greater than a first threshold, the patient's risk level is Level 1 risk; the rehabilitation treatment plan corresponding to Level 1 risk is: treatment plans requiring active patient participation are not permitted; when the risk status score is less than the first threshold but greater than the second threshold, the patient's risk level is Level 2 risk; the rehabilitation treatment plan for Level 2 risk is: allowing the patient to participate in treatment plans specified by the attending physician; when the risk status score is less than the second threshold but greater than the third threshold, the patient's risk level is Level 3 risk; the rehabilitation treatment plan for Level 3 risk is: outputting preventive measures and contraindications for treatment plans requiring active patient participation, guiding the patient to participate in the treatment plan; when the risk status score is less than the third threshold, the patient's risk level is Level 4 risk; the rehabilitation treatment plan for Level 4 risk is: allowing the patient to participate normally in treatment plans requiring active patient participation.

[0013] Secondly, a dynamic risk assessment device for patients is provided, comprising: a communication unit and a processing unit; the communication unit is used to acquire the patient's clinical indicator information, which includes subjective symptom information and objective indicator information, wherein the subjective symptom information includes the doctor's subjective evaluation of the patient's symptoms, the patient's subjective self-report information and / or the patient's treatment information, and the objective indicator information includes indicator information obtained by detecting multiple physiological indicators of the patient; the processing unit is used to input the clinical indicator information into a four-level risk dynamic model to determine the patient's risk level; the output of the four-level risk dynamic model includes any one of level one risk, level two risk, level three risk, and level four risk; different risk levels correspond to different rehabilitation treatment measures.

[0014] In conjunction with the second aspect above, in one possible implementation, the processing unit is further configured to: group the indicators in the clinical indicator information based on the correlation between the indicators in the patient's clinical indicator information; select an appropriate fusion method to fuse the indicators within each group based on the indicator characteristics of each group, thereby obtaining a score for each group of indicators; fuse the scores of each group of indicators to determine the patient's risk status score; and determine the patient's risk level based on the risk status score.

[0015] In conjunction with the second aspect above, in one possible implementation, the clinical indicator information includes at least one of the following: heart rate, respiratory rate (RR), peripheral blood oxygen saturation (SpO2), body temperature, inhaled oxygen concentration (FiO2), blood pressure (BP), mean pulse pressure (MAP), intracranial pressure, recent myocardial infarction, unstable angina, use of high-dose inotropic agents, intravenous infusion therapy for hypertensive emergencies, pulmonary hypertension, active bleeding, untreated unstable fracture, and surgically treated unstable fracture. The processing unit is also used to: classify the patient's clinical indicator information into a vital signs group, a cardiovascular event group, a treatment intervention group, and a trauma event group; wherein, the vital signs group includes at least one of the following: heart rate, RR, SpO2, body temperature, FiO2, BP, MAP, and intracranial pressure; the cardiovascular event group includes at least one of the following: recent myocardial infarction, unstable angina, and pulmonary hypertension; the treatment intervention group includes at least one of the following: use of high-dose inotropic agents, intravenous infusion therapy for hypertensive emergencies; and the trauma event group includes at least one of the following: active bleeding, untreated unstable fracture, and surgically treated unstable fracture.

[0016] In conjunction with the second aspect above, in one possible implementation, the processing unit is further configured to: fuse the indicators in the vital signs group based on a dynamic weighted summation method to obtain a score for the vital signs group; fuse the indicators in the cardiovascular event group based on a clinical treatment priority assignment method to obtain a score for the cardiovascular event group; fuse the indicators in the treatment intervention group based on logic or rules to obtain a score for the treatment intervention group; and fuse the indicators in the trauma event group based on a classification decision tree to obtain a score for the trauma event group.

[0017] In conjunction with the second aspect above, in one possible implementation, the processing unit is further configured to: normalize the indicators in the vital signs group to obtain the normalized value of each indicator in the vital signs group; determine the weight of each indicator in the vital signs group; determine SpO2 and FiO2 in the vital signs group as synergistic terms and assign weights to the synergistic terms; perform a weighted summation of the normalized values ​​of each indicator based on the weight of each indicator, and add the weighted summation result to the weighted value of the synergistic terms to obtain the score of the vital signs group.

[0018] In conjunction with the second aspect above, in one possible implementation, the processing unit is further configured to: assign values ​​to each indicator in the cardiovascular event group based on the clinical treatment priority of each indicator in the cardiovascular event group; sum the values ​​of each indicator to obtain a score for the cardiovascular event group; wherein, in the case of a recent myocardial infarction, the score of the recent myocardial infarction indicator is the first score, and in the case of no recent myocardial infarction, the score of the recent myocardial infarction indicator is the second score; in the case of unstable angina, the score of the unstable angina indicator is the third score, and in the case of no unstable angina, the score of the unstable angina indicator is the second score; in the case of pulmonary hypertension, the score of the pulmonary hypertension indicator is the fourth score, and in the case of no pulmonary hypertension, the score of the pulmonary hypertension indicator is the second score, wherein the first score is greater than the third score, the third score is greater than the fourth score, and the fourth score is greater than the second score.

[0019] In conjunction with the second aspect above, in one possible implementation, the processing unit is further configured to: determine the score of the treatment intervention group as the fifth score if the indicator in the treatment intervention group indicates the presence of high-dose cardiotonic drugs and / or intravenous infusion for hypertensive emergencies; and determine the score of the treatment intervention group as the sixth score if the indicator in the treatment intervention group does not indicate the presence of high-dose cardiotonic drugs and intravenous infusion for hypertensive emergencies, wherein the fifth score is greater than the sixth score.

[0020] In conjunction with the second aspect above, in one possible implementation, the processing unit is further configured to: determine the trauma event group score as the seventh score if the indicators in the trauma event group indicate that the patient has active bleeding; determine the trauma event group score as the eighth score if the indicators in the trauma event group indicate that the patient does not have active bleeding but has an untreated unstable fracture; determine the trauma event group score as the ninth score if the indicators in the trauma event group indicate that the patient does not have active bleeding and has an untreated unstable fracture but has a surgically treated unstable fracture; and determine the trauma event group score as the tenth score if the indicators in the trauma event group indicate that the patient does not have active bleeding and does not have an unstable fracture; wherein the tenth score is less than the ninth score, the ninth score is less than the eighth score, and the eighth score is less than the seventh score.

[0021] In conjunction with the second aspect above, in one possible implementation, when the risk status score is greater than the first threshold, the patient's risk level is Level 1 risk; the rehabilitation treatment plan corresponding to Level 1 risk is: treatment plans requiring active patient participation are not permitted; when the risk status score is less than the first threshold but greater than the second threshold, the patient's risk level is Level 2 risk; the rehabilitation treatment plan for Level 2 risk is: allowing the patient to participate in treatment plans specified by the attending physician; when the risk status score is less than the second threshold but greater than the third threshold, the patient's risk level is Level 3 risk; the rehabilitation treatment plan for Level 3 risk is: outputting preventive measures and contraindications for treatment plans requiring active patient participation, guiding the patient to participate in the treatment plan; when the risk status score is less than the third threshold, the patient's risk level is Level 4 risk; the rehabilitation treatment plan for Level 4 risk is: allowing the patient to participate normally in treatment plans requiring active patient participation.

[0022] Thirdly, this application provides a dynamic patient risk assessment device, comprising: a processor and a storage medium; the storage medium includes instructions, and the processor is configured to execute the instructions to implement the method described in the first aspect and any possible implementation thereof. This dynamic patient risk assessment device may be an electronic device or a chip within an electronic device.

[0023] Fourthly, this application provides a computer-readable storage medium storing instructions that, when executed on a patient risk dynamic assessment device, cause the patient risk dynamic assessment device to perform the methods described in the first aspect and any possible implementation thereof.

[0024] Fifthly, this application provides a computer program product containing instructions that, when run on a patient risk dynamic assessment device, cause the patient risk dynamic assessment device to perform the methods described in the first aspect and any possible implementation thereof.

[0025] This application provides a method and apparatus for dynamic patient risk assessment, capable of acquiring patients' clinical indicator information and inputting it into a four-level dynamic risk model to determine the patient's risk level. Based on this, embodiments of this application can objectively, accurately, and rapidly assess the health status of critically ill patients using a four-level dynamic risk model, providing support for patients' rehabilitation training.

[0026] It should be understood that the descriptions of technical features, technical solutions, beneficial effects, or similar language in this application do not imply that all features and advantages can be achieved in any single embodiment. Rather, it is understood that the description of a feature or beneficial effect means that a specific technical feature, technical solution, or beneficial effect is included in at least one embodiment. Therefore, the descriptions of technical features, technical solutions, or beneficial effects in this specification do not necessarily refer to the same embodiment. Furthermore, the technical features, technical solutions, and beneficial effects described in this embodiment can be combined in any suitable manner. Those skilled in the art will understand that embodiments can be implemented without one or more specific technical features, technical solutions, or beneficial effects of a particular embodiment. In other embodiments, additional technical features and beneficial effects may be identified in specific embodiments that do not embody all embodiments. Attached Figure Description

[0027] Figure 1 A system architecture diagram of a dynamic patient risk assessment system provided in this application embodiment; Figure 2 A flowchart illustrating a dynamic patient risk assessment method provided in this application embodiment; Figure 3 A flowchart illustrating a method for determining a patient's risk level, provided as an embodiment of this application; Figure 4 A flowchart illustrating a method for fusing indicators in a vital signs group based on dynamic weighted summation to obtain a score for the vital signs group, provided in an embodiment of this application. Figure 5 This is a flowchart illustrating a method for fusing indicators in a cardiovascular event group based on a clinical treatment priority assignment method to obtain a score for the cardiovascular event group, as provided in an embodiment of this application. Figure 6 A flowchart illustrating a method for fusing indicators in a treatment intervention group based on logic or rules to obtain a score for the treatment intervention group, as provided in an embodiment of this application. Figure 7 A flowchart illustrating a method for fusing indicators in a trauma event group based on a classification decision tree to obtain a score for the trauma event group, as provided in an embodiment of this application. Figure 8 This is a schematic diagram of the structure of a dynamic patient risk assessment device provided in an embodiment of this application; Figure 9 This is a schematic diagram of the hardware structure of a dynamic patient risk assessment device provided in an embodiment of this application. Detailed Implementation

[0028] In the description of this application, unless otherwise stated, " / " means "or," for example, A / B can mean A or B. The "and / or" in this document is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, and B alone. Furthermore, "at least one" means one or more, and "multiple" means two or more. The terms "first," "second," etc., do not limit the quantity or order of execution, and "first," "second," etc., do not necessarily imply differences.

[0029] It should be noted that, in this application, the terms "exemplary" or "for example" are used to indicate that something is being described as an example, illustration, or illustration. Any embodiment or design described as "exemplary" or "for example" in this application should not be construed as being more preferred or advantageous than other embodiments or design solutions. Specifically, the use of terms such as "exemplary" or "for example" is intended to present the relevant concepts in a concrete manner.

[0030] The dynamic patient risk assessment method provided in this application embodiment can be applied to, for example... Figure 1 In the patient risk dynamic assessment system shown, such as Figure 1 As shown, the communication system includes a server 101 and a patient risk dynamic assessment device 102.

[0031] The server 101 stores the patient's clinical indicator information, which includes subjective symptom information and objective indicator information. The subjective symptom information includes the doctor's subjective evaluation of the patient's symptoms, the patient's subjective self-report information, and / or the patient's treatment information. The objective indicator information includes indicators obtained from the detection of multiple physiological indicators of the patient. Optionally, the server 101 can be a server of a hospital information system used to store the patient's clinical indicator information.

[0032] The patient risk dynamic assessment device 102 is used to obtain the patient's clinical indicator information from the server 101 and input the clinical indicator information into the four-level risk dynamic model to determine the patient's risk level. The output of the four-level risk dynamic model includes any one of the following: Level 1 risk, Level 2 risk, Level 3 risk, and Level 4 risk. Different risk levels correspond to different rehabilitation treatment plans.

[0033] Combination Figure 1 The patient risk dynamic assessment system shown is as follows: Figure 2 As shown in the embodiments of this application, the patient risk dynamic assessment method includes: Step 201: The patient risk dynamic assessment device acquires the patient's clinical indicator information.

[0034] Clinical indicator information includes subjective symptom information and objective indicator information. Subjective symptom information includes doctors' subjective evaluation of patients' symptoms, patients' subjective self-report information and / or patients' treatment information. Objective indicator information includes indicator information obtained by testing multiple physiological indicators of patients.

[0035] As an example, clinical indicators include at least one of the following: heart rate, respiratory rate (RR), peripheral oxygen saturation (SpO2), body temperature, fraction of inspired oxygen (FiO2), blood pressure (BP), mean arterial pressure (MAP), intracranial pressure, recent myocardial infarction, unstable angina, use of high-dose cardiotonic agents, intravenous infusion for hypertensive emergencies, pulmonary hypertension, active bleeding, untreated unstable fracture, and surgically treated unstable fracture.

[0036] Optionally, the above-mentioned indicators such as heart rate, RR, SpO2, body temperature, FiO2, BP, MAP, and intracranial pressure are objective indicators. This information can be determined by performing appropriate tests on the patient.

[0037] The aforementioned indicators, including recent myocardial infarction, unstable angina, use of high-dose cardiotonic agents, intravenous infusion therapy for hypertensive emergencies, pulmonary hypertension, active bleeding, untreated unstable fractures, and surgically treated unstable fractures, are subjective symptom information. This subjective symptom information can be based on patient self-reporting or on a doctor's subjective diagnosis combining patient self-reporting and clinical symptoms. These indicators are difficult to reflect through objective indicators and need to be determined by combining patient self-reporting information with the doctor's diagnostic conclusion.

[0038] Step 202: The patient risk dynamic assessment device inputs clinical indicator information into the four-level risk dynamic model to determine the patient's risk level.

[0039] The output of the four-level risk dynamic model includes any one of the following: Level 1 risk, Level 2 risk, Level 3 risk, and Level 4 risk; different levels of risk correspond to different rehabilitation treatment plans.

[0040] In some implementations, the four-level risk dynamic model is a pre-built model that can fuse clinical indicator information and determine the patient's risk level based on the fused data. Optionally, the four-level risk dynamic model can also output a rehabilitation treatment plan for the patient based on the patient's risk level and various indicators in the clinical indicator data.

[0041] Based on the above technical solutions, the patient risk dynamic assessment method provided in this application can acquire the patient's clinical indicator information and input it into a four-level risk dynamic model to determine the patient's risk level. Therefore, the embodiments of this application can objectively, accurately, and quickly assess the health status of critically ill patients based on a four-level risk dynamic model, providing support for the patient's rehabilitation training.

[0042] In this embodiment, the four-level risk dynamic model can fuse indicators from clinical indicator information to obtain a patient's risk status score, and then determine the patient's risk level based on the risk status score.

[0043] The following, combined with Figure 2 ,like Figure 3 The process of determining the patient's risk level in step 202 above is explained in detail as shown.

[0044] Step 301: The patient risk dynamic assessment device groups the various indicators in the clinical indicator information based on the correlation between them.

[0045] In some embodiments, the correlation between various indicators can be the commonalities of various indicators in clinical diagnosis, or the correlation between various indicators can be the similarity or correlation between various indicators.

[0046] As an example, the indicators in the clinical indicator information can be divided into two groups: objective clinical indicators (such as objective indicator information) and subjective clinical indicators (such as subjective symptom information). Specific grouping methods can be found in the relevant explanation in step 201 above; this application does not limit them in this regard.

[0047] The patient risk dynamic assessment device can fuse objective and subjective clinical indicators separately to obtain objective and subjective clinical indicator scores. The objective clinical indicator score reflects the patient's objective risk status, while the subjective clinical indicator score reflects the patient's subjective risk status. Furthermore, the device can fuse these objective and subjective clinical indicator scores to determine the patient's overall risk status score.

[0048] As another example, patients' clinical indicators were divided into vital signs group, cardiovascular event group, treatment intervention group, and trauma event group.

[0049] The vital signs group includes, but is not limited to, at least one of the following: heart rate, RR, SpO2, body temperature, FiO2, BP, MAP, and intracranial pressure. In other words, heart rate, RR, SpO2, body temperature, FiO2, BP, MAP, and intracranial pressure can all characterize a patient's vital signs. Therefore, these indicators are divided into the vital signs group. After data fusion, the indicators in this group can be used to characterize the patient's risk score from a vital signs perspective.

[0050] The cardiovascular event group includes, but is not limited to, at least one of the following: recent myocardial infarction, unstable angina, and pulmonary hypertension. In other words, recent myocardial infarction, unstable angina, and pulmonary hypertension are all symptoms related to a patient's cardiovascular disease. Therefore, these symptoms can be classified into the cardiovascular event group. After data fusion, the indicators in this group can be used to characterize the patient's risk score from a cardiovascular disease perspective.

[0051] The treatment intervention group includes, but is not limited to, at least one of the following: use of high-dose cardiac stimulants or intravenous infusion for hypertensive emergencies. In other words, the use of high-dose cardiac stimulants or intravenous infusion for hypertensive emergencies are both treatment interventions for the patient's relevant disease, and therefore can be categorized as a treatment intervention group. Data fusion of these indicators can characterize the patient's risk score regarding treatment intervention.

[0052] The trauma event group includes, but is not limited to, at least one of the following: active bleeding, untreated unstable fracture, and surgically treated unstable fracture. In other words, active bleeding, untreated unstable fracture, and surgically treated unstable fracture are all used to characterize a patient's trauma status, and therefore can be grouped into the trauma event group. After data fusion, the indicators of this group can characterize the patient's risk score for the trauma event.

[0053] Step 302: The patient risk dynamic assessment device selects the appropriate fusion method to fuse the indicators within each group based on the characteristics of each group of indicators, and obtains the score of each group of indicators.

[0054] In this embodiment, the patient risk dynamic assessment device can select an appropriate fusion method based on the characteristics of the indicators. For example, the correspondence between each indicator and the fusion method can be pre-configured. After grouping, the fusion method corresponding to each group is found, and the indicators within each group are fused based on the corresponding fusion method.

[0055] As an example 1, taking the division of patients' clinical indicator information into: vital signs group, cardiovascular event group, treatment intervention group, and trauma event group as an example, the process of data fusion for each group of indicators includes: The vital signs group indicators are fused using a dynamic weighted summation method to obtain the vital signs group score. In other words, since the various indicators in the vital signs group are relatively independent, they can be fused using a weighted summation method to achieve synergistic integration of the various indicators.

[0056] The indicators in the cardiovascular event group are fused based on a clinical treatment priority assignment method to obtain a score for the cardiovascular event group. In other words, since each event in the cardiovascular event group has a clinical priority (e.g., myocardial infarction has a higher priority than angina, and angina has a higher priority than pulmonary hypertension), they can be assigned values ​​based on priority and then the indicators can be fused.

[0057] The indicators in the treatment intervention group are fused based on logic or rules to obtain the treatment intervention group score. In other words, in the treatment intervention group, the patient's treatment intervention status can be fused by simplifying the intervention labels. For example, the patient's treatment intervention status can be divided into two situations: intervention present and intervention absent. The score for intervention present is higher than the score for intervention absent, thus simplifying the fusion process of the treatment intervention group.

[0058] The trauma event group is scored by fusing indicators from a classification decision tree. In other words, different trauma events have different impacts on the patient's risk assessment. Therefore, a classification decision tree can be used to fuse indicators from the trauma event group and differentiate the scores of the trauma event group under different trauma events.

[0059] As an example 2, taking the division of a patient's clinical indicator information into objective clinical indicators and subjective clinical indicators as an example, the data fusion process for each group of indicators includes: fusing objective clinical indicators based on dynamic weighted summation to obtain the objective clinical indicator score; and fusing subjective clinical indicators based on event assignment to obtain the subjective clinical indicator score. The specific fusion process can refer to the relevant fusion process in Example 1 above, and will not be elaborated upon here.

[0060] Step 303: The patient risk dynamic assessment device integrates the scores of each set of indicators to determine the patient's risk status score.

[0061] In one possible implementation, when fusing the scores of each group of indicators, a summation (or weighted summation) method can be directly used to fuse the scores of each group of indicators to determine the patient's risk status score. Alternatively, after weighted summation, a correction factor can be used to correct the weighted summation to determine the patient's risk status score. This application does not limit this approach.

[0062] Step 304: The patient risk dynamic assessment device determines the patient's risk level based on the risk status score.

[0063] In some implementations, after the patient risk dynamic assessment device determines the patient's risk level, it can also determine the patient's rehabilitation treatment plan based on the patient's risk level.

[0064] As one approach, when the risk status score is greater than the first threshold, the patient's risk level is classified as Level 1 risk. The rehabilitation treatment plan corresponding to Level 1 risk is: treatment plans that require active patient participation are not permitted.

[0065] When the risk status score is less than or equal to the first threshold and greater than the second threshold, the patient's risk level is level two. The rehabilitation treatment plan for level two risk is to allow the patient to participate in the treatment plan designated by the attending physician that requires the patient's active participation.

[0066] When the risk status score is less than or equal to the second threshold and greater than the third threshold, the patient's risk level is level three. The rehabilitation treatment plan for level three risk is to provide preventive measures and contraindications for the treatment plan that requires the patient's active participation, and to guide the patient to participate in rehabilitation treatment.

[0067] When the risk status score is less than the third threshold, the patient's risk level is level four. The rehabilitation treatment plan for level four risk is a treatment plan that allows the patient to participate normally and requires the patient's active participation.

[0068] In some embodiments, the patient's rehabilitation treatment plan is also related to the patient's clinical indicators.

[0069] As an example, Mr. Wang's clinical indicators after being admitted to the ICU were as follows: heart rate: 76 bpm, oxygen saturation: 97%, body temperature: 36.9℃, RR: 22 bpm, FiO2: 55%, blood pressure: 121 / 79 mmHg, MAP: 80 mmHg, PEEP: 9 cmH2O, intracranial pressure: 13 mmHg. He had no recent cardiovascular events, no treatment interventions, and no traumatic events. According to the four-level dynamic risk assessment model, Mr. Wang's risk level was level four. He could continue to undergo assessments including auscultation, respiratory movement, ventilator function, cough, sputum, pain, shortness of breath, muscle strength assessment, balance assessment, and blood gas analysis. His rehabilitation treatment plan included respiratory muscle resistance training, specifically expiratory muscle training with a load of 20 cmH2O for 30 minutes twice daily, and inspiratory muscle training with a load of 30 cmH2O for 20 minutes twice daily. The patient would perform the training daily according to the rehabilitation prescription, and the rehabilitation plan would be adjusted based on the completion rate.

[0070] As another example, Mr. Li's clinical indicators were: heart rate: 79 bpm, oxygen saturation: 98%, body temperature: 37°C, RR: 21 bpm, FiO2: 51%, blood pressure: 90 / 63 mmHg, MAP: 77 mmHg, PEEP: 8 cmH2O, intracranial pressure: 14 mmHg. The patient had unstable angina, no existing treatment interventions, and no traumatic events. According to the four-level dynamic risk assessment model, Mr. Li's risk level was classified as level three. The patient's rehabilitation treatment plan includes: respiratory muscle resistance training, with expiratory muscle training at a load of 20 cmH2O for 30 minutes twice daily, and inspiratory muscle training at a load of 30 cmH2O for 20 minutes twice daily. The patient's position should alternate between lateral decubitus (left and right) and upright positions. A cough suppressant should be used daily for sputum expectoration. Bedside active / resistance treadmill training should be conducted, with a target heart rate of 140-150 beats / min, once daily for 30 minutes each time. Changes in the patient's heart rate, blood pressure, and blood oxygen saturation should be monitored. Diaphragmatic muscle training using an external diaphragm pacemaker should be performed for 20 minutes each time, once daily. The patient's rehabilitation progress will be monitored and adjusted in real time according to the rehabilitation plan and the use of rehabilitation and monitoring equipment.

[0071] As another example, Mr. Liu's clinical indicators were: 73 bpm, oxygen saturation 98%, body temperature 36.9℃, RR: 21 bpm, FiO2: 51%, blood pressure: 112 / 68 mmHg, MAP: 77 mmHg, PEEP: 8 cmH2O, intracranial pressure 14 mmHg. He had recently experienced a myocardial infarction, had unstable angina, and was receiving intravenous fluid therapy for a hypertensive emergency. He had no traumatic events. According to the four-level dynamic risk assessment model, Mr. Liu's risk level was classified as Level 1. His rehabilitation treatment plan was: treatments requiring active patient participation were not permitted.

[0072] It should be noted that steps 301-304 above can specifically refer to the process by which the patient risk dynamic assessment device inputs clinical indicator information into the level four risk dynamic model, and then the level four risk dynamic model executes the process. This application will not elaborate on this.

[0073] In some embodiments, in conjunction with Example 1 above, such as Figure 4 As shown, the process of fusing the indicators in the vital signs group based on the above dynamic weighted summation method to obtain the score of the vital signs group can be specifically implemented through the following steps 401-404, which are explained in detail below: Step 401: The patient risk dynamic assessment device normalizes the indicators in the vital signs group to obtain the normalized value of each indicator in the vital signs group.

[0074] As an example, a dynamic patient risk assessment device can determine the normal range, mild abnormal range, moderate abnormal range, and severe abnormal range for each indicator, and determine the score for each indicator based on the range to which its actual value belongs. For example, an indicator within the normal range has a normalized value of 0, an indicator within the mild abnormal range has a normalized value of 1, an indicator within the moderate abnormal range has a normalized value of 2, and an indicator within the severe abnormal range has a normalized value of 3.

[0075] Taking heart rate as an example, the unit is "beats / minute". The normal range of heart rate is (60, 100); the range of mild abnormality is (50, 60) or (100, 110); the range of moderate abnormality is (40, 50) or (110, 130); and the range of severe abnormality is below 40 or above 130. If the patient's measured heart rate is 108 beats per minute, then the normalized value of the patient's heart rate is determined to be 1.

[0076] The normalization process for other indicators can be referenced to that for heart rate, and will not be elaborated upon in this application.

[0077] Step 402: The patient risk dynamic assessment device determines the weight of each indicator in the vital signs group.

[0078] The weight of each indicator in the vital signs group can be pre-set or adjusted manually according to the patient's actual condition.

[0079] Taking a pre-set example, the weight of heart rate can be 0.1, the weight of RR is 0.15, the weight of SpO2 is 0.15, the weight of body temperature is 0.1, the weight of FiO2 is 0.15, the weight of BP is 0.1, the weight of MAP is 0.15, and the weight of intracranial pressure is 0.1.

[0080] Taking a manually set system as an example, doctors can adjust the weights of various indicators in real time based on the patient's actual physical condition and the degree of influence of each indicator on the patient's body. For instance, for a patient with cerebral hemorrhage, if the doctor believes that intracranial pressure, mean arterial pressure (MAP), and blood pressure (BP) are more important, then these three indicators can be assigned higher weights, such as 0.25 for intracranial pressure, 0.2 for MAP, and 0.15 for BP. Other indicators, whose influence is relatively less, could have weights set as follows: heart rate 0.1, respiratory rate (RR) 0.1, SpO2 0.1, body temperature 0.05, and FiO2 0.05. It should be noted that, in addition to this example, doctors can make specific settings based on the specific circumstances of other patients; this application does not limit this.

[0081] Step 403: The patient risk dynamic assessment device identifies SpO2 and FiO2 as synergistic terms in the vital signs group and assigns weights to the synergistic terms.

[0082] The weight of the collaborative item can be set manually. As an example, the weight of the collaborative item can be set to 0.1 or 0.2. This application does not limit this.

[0083] Step 404: The patient risk dynamic assessment device performs a weighted summation of the normalized values ​​of each indicator based on the weight of each indicator, and adds the weighted summation result to the weighted value of the synergistic term to obtain the score of the vital signs group.

[0084] As an example, the scoring of the vital signs group follows the formula: S vitals=

[0085] in, For heart rate, For RR, For SpO2, For body temperature, For FiO2, For BP, For MAP, Intracranial pressure. W i The weight used to characterize the i-th indicator, I i Used to characterize the i-th index.

[0086] Optionally, when SpO2 and FiO2 are used as synergistic terms, the weighted summation can be performed without weighting these two synergistic terms. Instead, the weighted summation of other indicators can be performed first, and then the weighted summation of the synergistic terms can be added separately to obtain the vital signs group score.

[0087] Taking heart rate as 1 point, RR as 2 points, SpO2 as 2 points, body temperature as 0 points, FiO2 as 2 points, BP as 1 point, MAP as 0 points, and intracranial pressure as 0 points as an example, the weights of each indicator are the pre-set weights mentioned above. The vital signs group score is calculated by weighting and summing other indicators and then adding them separately to the weighted value of the synergistic item. The score of the vital signs group is: 1×0.1+2×0.15+0×0.1+1×0.1+0×0.15+0×0.1+0.15×(2+2)=1.1.

[0088] The above details the process of determining the scoring of the life synergy group.

[0089] Combining with Example 1 above, such as Figure 5As shown, the process of fusing indicators in the cardiovascular event group based on the clinical treatment priority assignment method to obtain the cardiovascular event group score can be specifically implemented through the following steps 501-502, which are explained in detail below: Step 501: The patient risk dynamic assessment device assigns values ​​to each indicator in the cardiovascular event group based on the clinical treatment priority of each indicator in the cardiovascular event group.

[0090] Optionally, in the embodiments of this application, each indicator can be assigned a value based on the risk level of each indicator in the cardiovascular event group.

[0091] As an example, in the case of a recent myocardial infarction, the recent myocardial infarction index score is the first score, and in the case of no recent myocardial infarction, the recent myocardial infarction index score is the second score.

[0092] In cases of unstable angina, the unstable angina index score is the third score; in cases of no unstable angina, the unstable angina index score is the second score.

[0093] In the presence of pulmonary hypertension, the pulmonary hypertension index is scored as the fourth score; in the absence of pulmonary hypertension, the pulmonary hypertension index is scored as the second score.

[0094] It should be noted that the first score is higher than the third score, the third score is higher than the fourth score, and the fourth score is higher than the second score.

[0095] As an example, the first rating is 3 points, the second rating is 0 points, the third rating is 2 points, and the fourth rating is 1 point.

[0096] Step 502: The patient risk dynamic assessment device sums the values ​​of each indicator to obtain the score of the cardiovascular event group.

[0097] Given the patient's recent myocardial infarction and unstable angina, with a recent myocardial infarction score of 3, an unstable angina score of 2, and a pulmonary hypertension index score of 0, the summation of these scores to determine the cardiovascular event group score was 5.

[0098] The above provides a detailed explanation of the scoring process for determining the cardiovascular event group.

[0099] Combining with Example 1 above, such as Figure 6 As shown, the process of fusing the indicators in the treatment intervention group based on logic or rules to obtain the score of the treatment intervention group can be specifically implemented through the following steps 601-602, which are explained in detail below: Step 601: If the patient risk dynamic assessment device indicates that the treatment intervention group has received high-dose cardiotonic drugs and / or intravenous infusion for hypertensive emergencies, the score of the treatment intervention group is determined to be the fifth score.

[0100] Step 602: In the case that the patient risk dynamic assessment device does not use high-dose cardiotonic drugs and intravenous infusion for hypertensive emergencies in the treatment intervention group, the score of the treatment intervention group is determined to be the sixth score.

[0101] In some implementations, the fifth rating is greater than the sixth rating. As an example, the fifth rating is 5, and the sixth rating is 0.

[0102] In this embodiment, the method and number of treatment interventions for patients are not distinguished; only whether a treatment intervention has been performed on the patient is distinguished. That is, if a patient triggers any treatment intervention, a score of 5 is directly assigned to clearly indicate that the patient is undergoing a treatment intervention. Referring to the above example, if a treatment intervention has been performed on the patient, the group score is 5 points; if no treatment intervention has been performed on the patient, the group score is 0 points.

[0103] The above provides a detailed explanation of the scoring process for determining the treatment intervention group.

[0104] Combining with Example 1 above, such as Figure 7 As shown, the process of fusing indicators in the trauma event group based on the classification decision tree to obtain the score of the trauma event group can be specifically implemented through the following steps 701-704, which are explained in detail below: Step 701: When the patient's risk dynamic assessment device indicates active bleeding in the trauma event group, the score of the trauma event group is determined to be the seventh score.

[0105] Step 702: In the case where the patient does not have active bleeding and has an untreated unstable fracture, the patient's risk dynamic assessment device determines the score of the trauma event group as the eighth score.

[0106] Step 703: The patient risk dynamic assessment device, in the trauma event group, indicates that the patient has no active bleeding and no untreated unstable fracture, or has an unstable fracture that has been surgically treated. In such cases, the score of the trauma event group is determined to be the ninth score.

[0107] Step 704: The patient risk dynamic assessment device determines the score of the trauma event group as the tenth score when the patient does not have active bleeding and unstable fractures.

[0108] Optionally, the tenth score is lower than the ninth score, the ninth score is lower than the eighth score, and the eighth score is lower than the seventh score. As an example, the seventh score is 3 points, the eighth score is 2 points, the ninth score is 1 point, and the tenth score is 0 points.

[0109] That is, in cases where the patient has active bleeding, a score of 3 is assigned to the trauma event group.

[0110] In cases where the patient has no active bleeding and has an untreated unstable fracture, the trauma event group score is set at 2 points.

[0111] In cases where the patient has no active bleeding and no untreated unstable fracture, or has an unstable fracture that has been surgically treated, the trauma event group score is 1 point.

[0112] In cases where the patient has no active bleeding and no unstable fractures, the trauma event group score is set to 0.

[0113] As an example, in this application embodiment, the first threshold is 8, the second threshold is 5, and the third threshold is 2.

[0114] That is, when a patient's risk score is greater than 8, the patient's risk level is level one.

[0115] When a patient's risk score is less than or equal to 8 points but greater than 5 points, the patient's risk level is classified as Level 2 risk.

[0116] When a patient's risk score is less than or equal to 5 points or greater than 2 points, the patient's risk level is level three.

[0117] When a patient's risk score is less than 2, the patient's risk level is level four.

[0118] In combination with the above Figures 4 to 7 As an example, the scoring calculation method for each indicator group recorded in the document is as follows: if the patient's vital signs group score is 1.1 points, the cardiovascular event group score is 5 points, the treatment intervention group score is 0 points, and the trauma event group score is 2 points, then the patient's risk status score is 8.1 points.

[0119] At this time, the patient's risk level is level two, and the patient's rehabilitation treatment plan is: a treatment plan that allows the patient to actively participate in, as specified by the attending physician.

[0120] The foregoing mainly describes the solutions of the embodiments of this application from the perspective of device implementation. It is understood that each device, such as a patient risk dynamic assessment device, includes at least one of the hardware structures and software modules corresponding to the execution of each function in order to achieve the above-mentioned functions. Those skilled in the art should readily recognize that, in conjunction with the units and algorithm steps of the various examples described in the embodiments disclosed herein, this application can be implemented in hardware or a combination of hardware and computer software. Whether a function is executed in hardware or by computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0121] This application embodiment can divide the patient risk dynamic assessment device into functional units according to the above method example. For example, each function can be divided into separate functional units, or two or more functions can be integrated into one processing unit. The integrated unit can be implemented in hardware or as a software functional unit. It should be noted that the unit division in this application embodiment is illustrative and only represents one logical functional division; other division methods may be used in actual implementation.

[0122] When using integrated units, Figure 8 A possible structural schematic diagram of the patient risk dynamic assessment device (referred to as patient risk dynamic assessment device 80) involved in the above embodiments is shown. The patient risk dynamic assessment device 80 includes a processing unit 801 and a communication unit 802, and may also include a storage unit 803. Figure 8 The schematic diagram shown can be used to illustrate the structure of the dynamic patient risk assessment device involved in the above embodiments.

[0123] when Figure 8 The schematic diagram shown illustrates the structure of the dynamic patient risk assessment device involved in the above embodiments. The processing unit 801 is used to control and manage the operation of the dynamic patient risk assessment device, the communication unit 802 is used for the dynamic patient risk assessment device to communicate with other devices, and the storage unit 803 is used to store the program code and data of the dynamic patient risk assessment device.

[0124] The communication unit 802 is used to acquire the patient's clinical indicator information, which includes subjective symptom information and objective indicator information. The subjective symptom information includes the doctor's subjective evaluation of the patient's symptoms, the patient's subjective self-report information, and / or the patient's treatment information. The objective indicator information includes indicator information obtained by detecting multiple physiological indicators of the patient. The processing unit 801 is used to input the clinical indicator information into the four-level risk dynamic model to determine the patient's risk level. The output of the four-level risk dynamic model includes any one of the following: Level 1 risk, Level 2 risk, Level 3 risk, and Level 4 risk. Different risk levels correspond to different rehabilitation treatment measures.

[0125] In one possible implementation, the processing unit 801 is further configured to: group the indicators in the clinical indicator information based on the correlation between the indicators in the patient's clinical indicator information; select an appropriate fusion method to fuse the indicators in each group based on the indicator characteristics of each group, and obtain a score for each group of indicators; fuse the scores of each group of indicators to determine the patient's risk status score; and determine the patient's risk level based on the risk status score.

[0126] In one possible implementation, the clinical indicator information includes at least one of the following: heart rate, respiratory rate (RR), peripheral blood oxygen saturation (SpO2), body temperature, inhaled oxygen concentration (FiO2), blood pressure (BP), mean pulse pressure (MAP), intracranial pressure, recent myocardial infarction, unstable angina, use of high-dose inotropic agents, intravenous infusion therapy for hypertensive emergencies, pulmonary hypertension, active bleeding, untreated unstable fracture, and surgically treated unstable fracture. The processing unit 801 is further configured to: classify the patient's clinical indicator information into a vital signs group, a cardiovascular event group, a treatment intervention group, and a trauma event group; wherein the vital signs group includes at least one of the following: heart rate, RR, SpO2, body temperature, FiO2, BP, MAP, and intracranial pressure; the cardiovascular event group includes at least one of the following: recent myocardial infarction, unstable angina, and pulmonary hypertension; the treatment intervention group includes at least one of the following: use of high-dose inotropic agents, intravenous infusion therapy for hypertensive emergencies; and the trauma event group includes at least one of the following: active bleeding, untreated unstable fracture, and surgically treated unstable fracture.

[0127] In one possible implementation, the processing unit 801 is further configured to: fuse the indicators in the vital signs group based on dynamic weighted summation to obtain a score for the vital signs group; fuse the indicators in the cardiovascular events group based on clinical treatment priority assignment to obtain a score for the cardiovascular events group; fuse the indicators in the treatment intervention group based on logic or rules to obtain a score for the treatment intervention group; and fuse the indicators in the trauma events group based on a classification decision tree to obtain a score for the trauma events group.

[0128] In one possible implementation, the processing unit 801 is further configured to: normalize the indicators in the vital signs group to obtain the normalized value of each indicator in the vital signs group; determine the weight of each indicator in the vital signs group; determine SpO2 and FiO2 in the vital signs group as synergistic terms and assign weights to the synergistic terms; perform a weighted summation of the normalized values ​​of each indicator based on the weight of each indicator, and add the weighted summation result to the weighted value of the synergistic terms to obtain the score of the vital signs group.

[0129] In one possible implementation, the processing unit 801 is further configured to: assign values ​​to each indicator in the cardiovascular event group based on the clinical treatment priority of each indicator in the cardiovascular event group; sum the values ​​of each indicator to obtain a score for the cardiovascular event group; wherein, in the case of a recent myocardial infarction, the score of the recent myocardial infarction indicator is the first score, and in the case of no recent myocardial infarction, the score of the recent myocardial infarction indicator is the second score; in the case of unstable angina, the score of the unstable angina indicator is the third score, and in the case of no unstable angina, the score of the unstable angina indicator is the second score; in the case of pulmonary hypertension, the score of the pulmonary hypertension indicator is the fourth score, and in the case of no pulmonary hypertension, the score of the pulmonary hypertension indicator is the second score, wherein the first score is greater than the third score, the third score is greater than the fourth score, and the fourth score is greater than the second score.

[0130] In one possible implementation, the processing unit 801 is further configured to: determine the score of the treatment intervention group as the fifth score if the indicator in the treatment intervention group indicates the presence of high-dose cardiotonic drugs and / or hypertensive emergency intravenous infusion treatment; and determine the score of the treatment intervention group as the sixth score if the indicator in the treatment intervention group does not indicate the presence of high-dose cardiotonic drugs and hypertensive emergency intravenous infusion treatment, wherein the fifth score is greater than the sixth score.

[0131] In one possible implementation, the processing unit 801 is further configured to: determine the trauma event group score as the seventh score if the indicators in the trauma event group indicate that the patient has active bleeding; determine the trauma event group score as the eighth score if the indicators in the trauma event group indicate that the patient does not have active bleeding but has an untreated unstable fracture; determine the trauma event group score as the ninth score if the indicators in the trauma event group indicate that the patient does not have active bleeding and has an untreated unstable fracture but has a surgically treated unstable fracture; and determine the trauma event group score as the tenth score if the indicators in the trauma event group indicate that the patient does not have active bleeding and does not have an unstable fracture; wherein the tenth score is less than the ninth score, the ninth score is less than the eighth score, and the eighth score is less than the seventh score.

[0132] In one possible implementation, when the risk status score is greater than a first threshold, the patient's risk level is Level 1 risk; the rehabilitation treatment plan corresponding to Level 1 risk is: treatment plans requiring active patient participation are not allowed; when the risk status score is less than the first threshold but greater than the second threshold, the patient's risk level is Level 2 risk; the rehabilitation treatment plan for Level 2 risk is: allowing the patient to participate in treatment plans specified by the attending physician; when the risk status score is less than the second threshold but greater than the third threshold, the patient's risk level is Level 3 risk; the rehabilitation treatment plan for Level 3 risk is: outputting preventive measures and contraindications for treatment plans requiring active patient participation, guiding the patient to participate in the treatment plan; when the risk status score is less than the third threshold, the patient's risk level is Level 4 risk; the rehabilitation treatment plan for Level 4 risk is: allowing the patient to participate normally in treatment plans requiring active patient participation.

[0133] The processing unit 801 can be a processor or a controller, and the communication unit 802 can be a communication interface, transceiver, transceiver circuit, transceiver device, etc. The term "communication interface" is a general term and may include one or more interfaces. The storage unit 803 can be a memory. When the patient risk dynamic assessment device 80 is a chip, the processing unit 801 can be a processor or a controller, and the communication unit 802 can be an input interface and / or an output interface, pins, or circuits, etc. The storage unit 803 can be a storage unit within the chip (e.g., a register, cache, etc.) or a storage unit located outside the chip (e.g., read-only memory (ROM), random access memory (RAM, etc.).

[0134] The communication unit can also be referred to as a transceiver unit. The antenna and control circuit with transceiver functions in the patient risk dynamic assessment device 80 can be considered as the communication unit 802 of the patient risk dynamic assessment device 80, and the processor with processing functions can be considered as the processing unit 801 of the patient risk dynamic assessment device 80. Optionally, the device in the communication unit 802 used to implement the receiving function can be considered as a communication unit, which is used to execute the receiving steps in the embodiments of this application. The communication unit can be a receiver, a receiver circuit, etc. The device in the communication unit 802 used to implement the transmitting function can be considered as a transmitting unit, which is used to execute the transmitting steps in the embodiments of this application. The transmitting unit can be a transmitter, a transmitter, a transmitting circuit, etc.

[0135] Figure 8If the integrated units in the process are implemented as software functional modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the embodiments of this application, in essence, or the parts that contribute to the prior art, or all or part of the technical solutions, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute all or part of the steps of the methods described in the various embodiments of this application. Storage media for storing computer software products include various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory, random access memory, magnetic disks, or optical disks.

[0136] Figure 8 The units in the process can also be called modules; for example, a processing unit can be called a processing module.

[0137] This application also provides a hardware structure diagram of a dynamic patient risk assessment device (referred to as dynamic patient risk assessment device 90), see [link to diagram]. Figure 9 The patient risk dynamic assessment device 90 includes a processor 901, and optionally, a memory 902 connected to the processor 901.

[0138] In the first possible implementation, see Figure 9 The patient risk dynamic assessment device 90 also includes a transceiver 903. The processor 901, memory 902, and transceiver 903 are connected via a bus. The transceiver 903 is used to communicate with other devices or communication networks. Optionally, the transceiver 903 may include a transmitter and a receiver. The device in the transceiver 903 that implements the receiving function can be considered as a receiver, which is used to perform the receiving steps in the embodiments of this application. The device in the transceiver 903 that implements the transmitting function can be considered as a transmitter, which is used to perform the transmitting steps in the embodiments of this application.

[0139] Based on the first possible implementation method Figure 9 The schematic diagram shown can be used to illustrate the structure of the dynamic patient risk assessment device involved in the above embodiments.

[0140] in, Figure 9 This can also be illustrated by the system chip in the patient risk dynamic assessment device. In this case, the actions performed by the aforementioned patient risk dynamic assessment device can be implemented by this system chip; the specific actions performed can be found above and will not be repeated here.

[0141] In implementation, each step of the method provided in this embodiment can be completed by integrated logic circuits in the processor or by instructions in software form. The steps of the method disclosed in the embodiments of this application can be directly manifested as being executed by a hardware processor, or being executed by a combination of hardware and software modules in the processor.

[0142] The processor in this application may include, but is not limited to, at least one of the following: a central processing unit (CPU), a microprocessor, a digital signal processor (DSP), a microcontroller unit (MCU), or an artificial intelligence processor, etc., which are various computing devices that run software. Each computing device may include one or more cores for executing software instructions to perform calculations or processing. The processor may be a separate semiconductor chip or integrated with other circuits into a single semiconductor chip. For example, it may be integrated with other circuits (such as encoding / decoding circuits, hardware acceleration circuits, or various bus and interface circuits) to form a SoC (System-on-a-Chip), or it may be integrated as a built-in processor within an ASIC. The ASIC with the integrated processor may be packaged separately or together with other circuits. In addition to the cores for executing software instructions to perform calculations or processing, the processor may further include necessary hardware accelerators, such as field-programmable gate arrays (FPGAs), PLDs (programmable logic devices), or logic circuits that implement dedicated logic operations.

[0143] The memory in the embodiments of this application may include at least one of the following types: read-only memory (ROM) or other types of static storage devices capable of storing static information and instructions; random access memory (RAM) or other types of dynamic storage devices capable of storing information and instructions; or electrically erasable programmable-only memory (EEPROM). In some scenarios, the memory may also be a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media, or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures that can be accessed by a computer, but is not limited thereto.

[0144] This application also provides a computer-readable storage medium including instructions that, when run on a computer, cause the computer to perform any of the methods described above.

[0145] This application also provides a computer program product containing instructions that, when run on a computer, cause the computer to perform any of the methods described above.

[0146] This application also provides a chip including a processor and an interface circuit. The interface circuit is coupled to the processor. The processor is used to run computer programs or instructions to implement the above-described method. The interface circuit is used to communicate with other modules outside the chip.

[0147] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented using software programs, implementation can be, in whole or in part, in the form of a computer program product. This computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium accessible to a computer or a data storage device containing one or more servers, data centers, etc., that can be integrated with the medium. The available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media (e.g., solid-state disks (SSDs)).

[0148] Although this application has been described herein in conjunction with various embodiments, those skilled in the art, by reviewing the accompanying drawings, disclosure, and appended claims, will understand and implement other variations of the disclosed embodiments in carrying out the claimed application. In the claims, the word "comprising" does not exclude other components or steps, and "a" or "an" does not exclude multiple instances. A single processor or other unit can implement several functions listed in the claims. While different dependent claims may recite certain measures, this does not mean that these measures cannot be combined to produce good results.

[0149] Although this application has been described in conjunction with specific features and embodiments, it is obvious that various modifications and combinations can be made thereto without departing from the spirit and scope of this application. Accordingly, this specification and drawings are merely exemplary illustrations of this application as defined by the appended claims, and are considered to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Clearly, those skilled in the art can make various alterations and modifications to this application without departing from the spirit and scope of this application. Thus, if such modifications and modifications of this application fall within the scope of the claims of this application and their equivalents, this application is also intended to include such modifications and modifications.

Claims

1. A method for dynamic assessment of patient risk, characterized in that, include: Acquire the patient's clinical indicator information, which includes subjective symptom information and objective indicator information. The subjective symptom information includes the doctor's subjective evaluation of the patient's symptoms, the patient's subjective self-report information, and / or the patient's treatment information. The objective indicator information includes indicator information obtained by detecting multiple physiological indicators of the patient. The clinical indicator information is input into the four-level risk dynamic model to determine the patient's risk level; the output of the four-level risk dynamic model includes any one of level one risk, level two risk, level three risk, and level four risk; different risk levels correspond to different rehabilitation treatment plans. The step of inputting the clinical indicator information into the four-level risk dynamic model to determine the patient's risk level includes: Based on the correlation between various indicators in the patient's clinical indicator information, the various indicators in the clinical indicator information are grouped. Based on the characteristics of each set of indicators, an appropriate fusion method is selected to fuse the indicators within each set, thereby obtaining the score for each set of indicators. The scores of each set of indicators are fused to determine the patient's risk status score; The patient's risk level is determined based on the risk status score; The clinical indicators include at least one of the following: heart rate, respiratory rate (RR), peripheral blood oxygen saturation (SpO2), body temperature, inhaled oxygen concentration (FiO2), blood pressure (BP), mean pulse pressure (MAP), intracranial pressure, recent myocardial infarction, unstable angina, use of high-dose cardiotonic agents, intravenous infusion therapy for hypertensive emergencies, pulmonary hypertension, active bleeding, untreated unstable fracture, and surgically treated unstable fracture. The process of grouping the clinical indicators based on the correlation between them includes: The patients' clinical indicators were divided into vital signs group, cardiovascular event group, treatment intervention group, and trauma event group; The vital signs group includes at least one of the following: heart rate, RR, SpO2, body temperature, FiO2, BP, MAP, and intracranial pressure; The cardiovascular event group includes at least one of the following: recent myocardial infarction, unstable angina, pulmonary hypertension; The treatment intervention group includes at least one of the following: use of high-dose cardiotonic agents, or intravenous infusion for hypertensive emergencies; The trauma event group includes at least one of the following: active bleeding, untreated unstable fracture, and surgically treated unstable fracture; Based on the characteristics of each set of indicators, an appropriate fusion method is selected to fuse the indicators within each set, resulting in a score for each set of indicators, including: The indicators in the vital signs group are fused using a dynamic weighted summation method to obtain the score of the vital signs group; The indicators in the cardiovascular event group are fused based on the clinical treatment priority assignment method to obtain the score of the cardiovascular event group; The indicators in the treatment intervention group are fused based on logic or rules to obtain the score of the treatment intervention group; The indicators in the trauma event group are fused based on the classification decision tree to obtain the score of the trauma event group.

2. The method according to claim 1, characterized in that, The method of fusing the indicators in the vital signs group based on dynamic weighted summation to obtain the score of the vital signs group includes: The indicators in the vital signs group are normalized to obtain the normalized value of each indicator in the vital signs group. Determine the weight of each indicator in the vital signs group; SpO2 and FiO2 in the vital signs group were identified as synergistic terms, and weights were assigned to the synergistic terms. The normalized values ​​of each indicator are weighted and summed based on their respective weights. The weighted sum is then added to the weighted value of the synergistic term to obtain the score for the vital signs group.

3. The method according to claim 1, characterized in that, The indicators in the cardiovascular event group are fused based on the clinical treatment priority assignment method to obtain the score of the cardiovascular event group, including: Based on the clinical treatment priority of each indicator in the cardiovascular event group, values ​​are assigned to each indicator in the cardiovascular event group respectively. The values ​​of each indicator are summed to obtain the score of the cardiovascular event group; In the case of a recent myocardial infarction, the score of the recent myocardial infarction index is the first score; in the case of no recent myocardial infarction, the score of the recent myocardial infarction index is the second score. In the event of unstable angina, the unstable angina index is scored as the third score; in the event of no unstable angina, the unstable angina index is scored as the second score. In the presence of pulmonary hypertension, the pulmonary hypertension index is scored as the fourth score; in the absence of pulmonary hypertension, the pulmonary hypertension index is scored as the second score. The first score is greater than the third score, the third score is greater than the fourth score, and the fourth score is greater than the second score.

4. The method according to claim 1, characterized in that, The process of fusing the indicators in the treatment intervention group based on logic or rules to obtain the score of the treatment intervention group includes: If the indicators in the treatment intervention group indicate the presence of high-dose cardiotonic agents and / or hypertensive emergency intravenous infusion, the score of the treatment intervention group is determined to be the fifth score. In the absence of high-dose cardiotonic drugs and intravenous infusion for hypertensive emergencies in the treatment intervention group, the score of the treatment intervention group is determined to be the sixth score, where the fifth score is greater than the sixth score.

5. The method according to claim 1, characterized in that, The process of fusing indicators from the trauma event group based on a classification decision tree to obtain a score for the trauma event group includes: If the indicators in the trauma event group indicate that the patient has active bleeding, the score of the trauma event group is determined to be the seventh score; In the case where the indicators in the trauma event group indicate that the patient has no active bleeding and has an untreated unstable fracture, the score of the trauma event group is determined to be the eighth score; In the case where the indicators in the trauma event group indicate that the patient has no active bleeding and has an untreated unstable fracture or has an unstable fracture that has been surgically treated, the score of the trauma event group is determined to be the ninth score; If the indicators in the trauma event group indicate that the patient has no active bleeding and no unstable fracture, the score of the trauma event group is determined to be the tenth score; Among them, the tenth score is less than the ninth score, the ninth score is less than the eighth score, and the eighth score is less than the seventh score.

6. The method according to claim 1, characterized in that, When the risk status score is greater than the first threshold, the patient's risk level is the first-level risk; the rehabilitation treatment plan corresponding to the first-level risk is: treatment plans that require active patient participation are not allowed to be implemented; When the risk status score is less than the first threshold and greater than the second threshold, the patient's risk level is the second-level risk; the rehabilitation treatment plan for the second-level risk is a treatment plan that requires the patient's active participation and is specified by the attending physician according to the patient's parameters. When the risk status score is less than the second threshold and greater than the third threshold, the patient's risk level is the third-level risk; the rehabilitation treatment plan for the third-level risk is: outputting the preventive measures and contraindications of the treatment plan that requires the patient's active participation, and guiding the patient to participate in the treatment plan; When the risk status score is less than the third threshold, the patient's risk level is the fourth level of risk; the rehabilitation treatment plan for the fourth level of risk is a treatment plan that allows the patient to participate normally but requires the patient's active participation.

7. A dynamic patient risk assessment device, characterized in that, include: Communication unit and processing unit; The communication unit is used to acquire the patient's clinical indicator information, which includes subjective symptom information and objective indicator information. The subjective symptom information includes the doctor's subjective evaluation of the patient's symptoms, the patient's subjective self-report information, and / or the patient's treatment information. The objective indicator information includes indicator information obtained by detecting multiple physiological indicators of the patient. The processing unit is used to input the clinical indicator information into the four-level risk dynamic model to determine the patient's risk level; the output of the four-level risk dynamic model includes any one of level 1 risk, level 2 risk, level 3 risk and level 4 risk; different risk levels correspond to different rehabilitation treatment measures; The processing unit is specifically used to group the various indicators in the clinical indicator information based on the correlation between the various indicators in the patient's clinical indicator information. Based on the characteristics of each set of indicators, an appropriate fusion method is selected to fuse the indicators within each set, thereby obtaining the score for each set of indicators. The scores of each set of indicators are fused to determine the patient's risk status score; The patient's risk level is determined based on the risk status score; The clinical indicators include at least one of the following: heart rate, respiratory rate (RR), peripheral blood oxygen saturation (SpO2), body temperature, inhaled oxygen concentration (FiO2), blood pressure (BP), mean pulse pressure (MAP), intracranial pressure, recent myocardial infarction, unstable angina, use of high-dose cardiotonic agents, intravenous infusion therapy for hypertensive emergencies, pulmonary hypertension, active bleeding, untreated unstable fracture, and surgically treated unstable fracture. The processing unit is further configured to divide the patient's clinical indicator information into a vital signs group, a cardiovascular event group, a treatment intervention group, and a trauma event group. The vital signs group includes at least one of the following: heart rate, RR, SpO2, body temperature, FiO2, BP, MAP, and intracranial pressure; The cardiovascular event group includes at least one of the following: recent myocardial infarction, unstable angina, pulmonary hypertension; The treatment intervention group includes at least one of the following: use of high-dose cardiotonic agents, or intravenous infusion for hypertensive emergencies; The trauma event group includes at least one of the following: active bleeding, untreated unstable fracture, and surgically treated unstable fracture; The processing unit is further configured to fuse the indicators in the vital signs group based on a dynamic weighted summation method to obtain a score for the vital signs group. The indicators in the cardiovascular event group are fused based on the clinical treatment priority assignment method to obtain the score of the cardiovascular event group; The indicators in the treatment intervention group are fused based on logic or rules to obtain the score of the treatment intervention group; The indicators in the trauma event group are fused based on the classification decision tree to obtain the score of the trauma event group.

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