Radiology department enhanced CT (Computed Tomography) patient multi-factor security identification method, system and controller

Abstract

The invention relates to a radiology department enhanced CT patient multi-factor safety identification method and system and a controller, and solves the problem that the risk of a patient cannot be comprehensively evaluated by only considering several limited indexes, and the method comprises the following steps: obtaining safety identification related index data; according to a mapping relationship between each related index data interval range in which each related index data of security identification falls and a risk score, analyzing to obtain a risk score corresponding to each related index data of security identification, and performing summation calculation to obtain a total risk score; analyzing and determining the risk degree of the radiology department enhanced CT patient according to the corresponding relation between the interval range of the total risk score and the risk degree, wherein the total risk score falls into the interval range of the total risk score; and sending the analyzed and determined risk degree of the radiology department enhanced CT patient and the total risk score to a terminal held by a person in charge. The method has the advantages that the safety risk faced by the patient in the enhanced CT examination of the radiology department can be accurately evaluated, and a person in charge is timely notified to guarantee safety.

Description

Technical Field

[0001] The present invention relates to the field of medical assistance technology, and in particular to a multi-factor safety identification method, system and controller for enhanced CT patients in a radiology department. Background Art

[0002] As enhanced CT examinations are increasingly used in radiology departments, it is crucial to accurately assess the safety risks of patients during the examination. Currently, when performing enhanced CT examinations on patients, radiology departments need to consider many factors to ensure the safety of patients.

[0003] At present, the safety assessment of patients undergoing enhanced CT in the radiology department mainly adopts a more traditional method. On the one hand, the patient's basic physiological indicators, such as blood pressure and heart rate, are tested and analyzed, and the patient's risk level is preliminarily judged based on whether these indicators are within the normal range. On the other hand, the patient's relevant medical information, including past medical history, examination records, etc., is searched and queried from the hospital's medical information system, which is used as one of the bases for safety assessment.

[0004] With respect to the above-mentioned related technologies, the inventors found that there are the following defects: First, only a limited number of indicators are considered, and the patient's risk cannot be comprehensively assessed. Many potential risk factors may be ignored, such as recent changes in the patient's living habits, special medication use, etc. Secondly, relying on the doctor's experience and memory is prone to omissions and inaccuracies. Doctors may fail to fully consider certain important factors due to busy work or memory bias. Furthermore, simple risk assessment forms often lack flexibility and dynamism, cannot conduct personalized assessments based on the patient's specific circumstances, and cannot promptly reflect changes in the patient during the examination. Summary of the invention

[0005] In order to accurately assess the safety risks faced by patients during enhanced CT examinations in the radiology department and promptly notify the person in charge to ensure safety, this application provides a multi-factor safety identification method, system and controller for enhanced CT patients in the radiology department.

[0006] In the first aspect, the present application provides a multi-factor safety identification method for radiology enhanced CT patients, which adopts the following technical solutions: A multi-factor safety identification method for radiology enhanced CT patients, comprising: Obtain security identification related indicator data; According to the mapping relationship between the range of each relevant indicator data and the risk score, the risk score corresponding to each relevant indicator data of security identification is analyzed and the overall risk score is calculated by summing them up; According to the corresponding relationship between the interval range of the overall risk score and the risk level, the risk level of patients undergoing enhanced CT in the radiology department is analyzed and determined; The risk level and overall risk score of the radiology enhanced CT patients determined through analysis will be sent to the terminal held by the person in charge.

[0007] By adopting the above technical solutions, firstly, the overall risk score can be accurately calculated through multi-factor indicator data and mapping relationships, which can objectively reflect the patient's risk status. Secondly, clarifying the degree of risk will help the person in charge to formulate personalized inspection plans and take targeted preventive measures to improve the safety of inspections. Dynamic safety identification can adapt to changes in the conditions of different patients and adjust risk assessments in a timely manner. At the same time, information is sent to the person in charge's terminal in a timely manner, which improves communication efficiency and facilitates the person in charge to make quick decisions and arrange follow-up medical services.

[0008] Optionally, according to the mapping relationship between the interval range of each relevant indicator data and the risk score, the risk score corresponding to each relevant indicator data of security identification is analyzed and the overall risk score is obtained by summing up and calculating: Analyze whether the information source of the acquired security identification related indicator data is actively entered by the patient, where the information source includes active entry by the patient and search query of patient-related medical information, and define that there is no intersection between the security identification related indicator data actively entered by the patient and the search query of patient-related medical information; If yes, then identify and obtain the safety identification related indicator data actively entered by the patient, and analyze and obtain the risk score corresponding to the safety identification related indicator actively entered by the patient based on the mapping relationship between the interval range of each related indicator data and the risk score that the safety identification related indicator data actively entered by the patient falls into; At the same time, according to the mapping relationship between the interval range of each relevant indicator data into which the security identification related indicator data obtained by searching and querying the patient's related medical information falls and the risk score, the risk score corresponding to the security identification related indicator obtained by searching and querying the patient's related medical information is analyzed; The risk score corresponding to the security identification related indicator obtained by searching and querying the patient's related medical information is summed with the risk score corresponding to the security identification related indicator actively entered by the patient to obtain an overall risk score; If not, then according to the mapping relationship between the interval range of each relevant indicator data and the risk score, the risk score corresponding to each relevant indicator data of security identification is analyzed and the overall risk score is calculated by summing them up.

[0009] By adopting the above technical solution, on the one hand, distinguishing the source of information can more comprehensively and accurately assess the risk. When a patient actively enters information, combined with searching and querying medical information, it can avoid the bias of a single source and improve the reliability of the risk score. On the other hand, in the case where no patient actively enters information, the overall risk score can be accurately calculated based on the existing data to ensure the integrity of the assessment.

[0010] Optionally, the risk score corresponding to the security identification related indicator obtained by searching and querying the patient's related medical information is summed with the risk score corresponding to the security identification related indicator actively entered by the patient to obtain an overall risk score including: Perform reliability quantitative evaluation on the safety identification related indicators input by the patient according to the preset data reliability quantitative evaluation method, and obtain the reliability quantitative evaluation value; If the obtained reliability quantitative evaluation value exceeds the preset reliability quantitative evaluation threshold, the risk score corresponding to the security identification related indicator obtained by searching and querying the patient's related medical information and the risk score corresponding to the security identification related indicator actively entered by the patient are summed up to obtain the overall risk score; On the contrary, based on the interval range that the reliability quantitative assessment value falls into and the risk score adjustment coefficient, the risk score of the safety identification related indicators input by the patient is adjusted according to the risk score adjustment coefficient, and the adjusted risk score is summed with the risk score corresponding to the safety identification related indicators obtained by searching and querying the patient's related medical information to calculate the reliability quantitative assessment value.

[0011] By adopting the above technical solution, the reliability of the patient input indicators is quantitatively evaluated to ensure the accuracy of the risk score calculation. When the reliability is high, the overall risk score is calculated normally, making the evaluation more comprehensive and reliable. If the reliability is low, the risk score of the patient input indicator is adjusted according to the adjustment coefficient and then summed, avoiding the excessive impact of unreliable data on the results.

[0012] Optionally, according to the mapping relationship between the interval range of each relevant indicator data and the risk score, the risk score corresponding to each relevant indicator data of security identification is analyzed and the overall risk score is obtained by summing them up; Perform data preprocessing on the acquired security identification related indicator data, which includes standardization and cleaning; perform correlation quantification value analysis on the security identification related indicator data that has completed data processing using a preset correlation analysis method; if the correlation quantification value obtained by the analysis is less than the preset quantification value, then analyze and obtain the risk score corresponding to each security identification related indicator data according to the mapping relationship between the range of each related indicator data that each security identification related indicator data falls into and the risk score, and calculate the sum to obtain the overall risk score; On the contrary, the correspondence between the interval range into which the correlation quantization value obtained by the analysis falls and the adjustment coefficient is analyzed to determine whether there are security identification related indicator pairs whose correlation quantization values ​​exceed the preset quantization values ​​and the adjustment coefficients of the corresponding indicator pairs; According to the adjustment coefficient of the corresponding safety identification related indicator pair, the mapping relationship between the range of each relevant indicator data of safety identification and the risk score, the analysis results are obtained. Securely identify the risk scores corresponding to each relevant indicator data, and sum them up to obtain the overall risk score.

[0013] By adopting the above technical solutions, data preprocessing ensures the accuracy and consistency of the data, laying the foundation for subsequent analysis. Correlation quantitative value analysis can effectively identify the relationship between indicators. When the correlation is low, the risk score is calculated normally. When it is high, it is adjusted according to the adjustment coefficient to make the overall risk score more scientific and reasonable. This method helps to accurately assess the risks of patients undergoing enhanced CT in the radiology department and provide a reliable basis for the person in charge to formulate a more appropriate medical plan.

[0014] Optionally, using a preset correlation analysis method to perform correlation quantitative value analysis on the security identification related indicator data that has completed data processing includes: Analyze whether the information source of the acquired safety identification related indicator data is actively entered by patients; If not, a preset correlation analysis method is used to perform correlation quantitative value analysis on the security identification related indicator data that has completed data processing; If yes, a multi-dimensional evaluation indicator scheme is used to evaluate the quantitative values ​​of the user input indicators in each dimension, including the accuracy dimension, the detail dimension, and the consistency dimension; According to the preset dimension weight distribution scheme and the quantitative value of the user input indicator in each dimension, the reliability comprehensive evaluation score of the user input indicator is calculated; According to the score interval into which the comprehensive reliability evaluation score of the user-input indicator falls and the correlation coefficient adjustment ratio, the correlation coefficient adjustment ratio is analyzed and determined; Based on the correlation coefficient adjustment ratio determined by the analysis and the preset correlation analysis method, a correlation quantitative value analysis is performed on the security identification related indicator data that has completed data processing.

[0015] By adopting the above technical solutions, we can distinguish the sources of information and evaluate the multi-dimensional indicators actively entered by patients to ensure reliability. We can calculate the comprehensive evaluation score through weight distribution and adjust the correlation coefficient to make the analysis more scientific. This will help to more accurately assess the risks of patients undergoing enhanced CT in the radiology department and provide reliable decision-making basis for those in charge.

[0016] Optionally, the method further includes sending the risk level and overall risk score of the radiology enhanced CT patient determined by the analysis to the terminal held by the person in charge, which are as follows: Analyze the relevant indicators whose risk scores exceed the preset risk scores, and define the relevant indicators whose risk scores exceed the preset risk scores as target indicators; According to the correspondence between the data of each relevant indicator and the detection items, the detection items of each relevant indicator that exceeds the preset risk score are analyzed and determined, and sent to the terminal held by the person in charge.

[0017] By adopting the above technical solution, by analyzing high-risk indicators to determine target indicators and their corresponding test items and sending them to the person in charge, the person in charge can timely understand the key risk points of the patient and arrange further examinations in a targeted manner. This helps to improve the accuracy and timeliness of diagnosis and better ensure patient safety.

[0018] Optionally, the method further includes steps after analyzing and determining the detection items of the relevant indicator data exceeding the preset risk score and before sending the data to the terminal held by the person in charge, which are as follows: According to the risk score of the target indicator, the quantitative value of the correlation and the preset weight allocation scheme of the comprehensive evaluation values ​​of different target indicators, the comprehensive evaluation values ​​of different target indicators are calculated; According to the preset test item logic matrix and the comprehensive evaluation values ​​of different target indicators, the test items corresponding to the target indicators are sorted from top to bottom according to the comprehensive evaluation values ​​on the basis of meeting the preset test item logic matrix.

[0019] By adopting the above technical solutions, the risk score and correlation quantification value of the comprehensive target indicators are used to calculate the evaluation value, making the evaluation more comprehensive and accurate. According to the logical matrix of the test items and the sorting of the comprehensive evaluation values, the arrangement of the test items is ensured to be scientific and reasonable. The person in charge can give priority to high-risk projects, improve diagnostic efficiency and accuracy, and better ensure patient safety. At the same time, reasonable sorting helps to optimize the allocation of medical resources, reduce patient waiting time, improve the quality of medical services, provide strong support for the safety management of enhanced CT patients in the radiology department, and make the entire inspection process more efficient and orderly.

[0020] In the second aspect, the present application provides a multi-factor safety identification system for enhanced CT patients in the radiology department, which adopts the following technical solutions: A multi-factor dynamic safety identification system for radiology enhanced CT patients, comprising: An acquisition module is used to obtain security identification related indicator data; The overall risk score analysis module is used to analyze and obtain the risk scores corresponding to the relevant indicator data of security identification according to the mapping relationship between the relevant indicator data interval range and the risk score, and to calculate the overall risk score by summing them up; A risk level analysis module is used to analyze and determine the risk level of patients undergoing enhanced CT in the radiology department according to the corresponding relationship between the interval range of the overall risk score into which the overall risk score falls and the risk level; The notification module is used to send the risk level and overall risk score of the radiology enhanced CT patients analyzed and determined to the terminal held by the person in charge.

[0021] In a third aspect, the present application provides a controller, which adopts the following technical solution: A controller comprises a memory, a processor and a program stored in the memory and executable on the processor, wherein the program can implement a multi-factor safety identification method for radiology enhanced CT patients as described in the first aspect when loaded and executed by the processor. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a flow chart of a multi-factor safety identification method for radiology enhanced CT patients according to an embodiment of the present application.

[0023] Figure 2 This is a flowchart of another embodiment of the present application, which analyzes the risk scores corresponding to the security identification related indicator data according to the mapping relationship between the interval ranges of the security identification related indicator data and the risk scores, and calculates the sum to obtain the overall risk score.

[0024] Figure 3 Another embodiment of the present application is to sum the risk scores corresponding to the security identification related indicators obtained by searching and querying the patient-related medical information with the risk scores corresponding to the security identification related indicators actively entered by the patient to obtain a flow chart of the overall risk score.

[0025] Figure 4 This is a flowchart of another embodiment of the present application, which analyzes the risk scores corresponding to the security identification related indicator data according to the mapping relationship between the interval ranges of the security identification related indicator data and the risk scores, and calculates the sum to obtain the overall risk score. DETAILED DESCRIPTION

[0026] The present application is further described in detail below in conjunction with the accompanying drawings.

[0027] Reference Figure 1 , is a multi-factor safety identification method for radiology enhanced CT patients disclosed in this application, comprising: Step S100, obtaining security identification related indicator data.

[0028] Among them, safety identification related indicator data: This is a series of data used to judge the safety risks of patients undergoing enhanced CT in the radiology department. It covers the patient's basic situation, medical history, physiological status, laboratory test results and other information. Through the analysis of these data, the degree of risk that patients may face when undergoing enhanced CT examinations is evaluated.

[0029] Patient basic information: including age, gender, height, weight, etc. People of different ages may have different physical functions and tolerance to examinations; gender may affect the risk of certain diseases; height and weight play an important role in calculating drug dosages, etc. The acquisition method is as follows: When patients register at the hospital or go through the hospitalization procedures, they will fill out a personal basic information form, and this information will be entered into the hospital's information management system. Before performing an enhanced CT examination in the radiology department, the system can automatically extract the patient's basic information.

[0030] Medical history information: such as past medical history (such as heart disease, hypertension, diabetes and other chronic diseases), allergy history (especially allergy to contrast agents), surgical history, etc. This information can help doctors determine the risks that patients may encounter during the examination.

[0031] Physiological indicators: mainly blood pressure, heart rate, respiratory rate, body temperature, etc. Normal physiological indicators reflect that the patient's body is in a relatively stable state. Abnormal physiological indicators may indicate potential health problems and increase the risk of examination. The acquisition method is as follows: Before the patient undergoes an enhanced CT examination in the radiology department, the nurse will use professional medical equipment to measure the patient's physiological indicators, such as a sphygmomanometer to measure blood pressure and an electrocardiogram monitor to monitor heart rate. The measurement results will be automatically transmitted to the hospital information system.

[0032] Laboratory test results: such as blood routine (reflecting the status of the blood system), liver and kidney function (related to the metabolism and excretion of contrast agents), coagulation function (affecting the risk of bleeding), etc. Medical history information can be obtained through the electronic medical record system. Acquisition method: Before undergoing enhanced CT examination, patients may need to undergo some laboratory tests, such as blood routine, liver and kidney function, coagulation function, etc. These test results are tested by the hospital's laboratory department and uploaded to the hospital information system.

[0033] Step S200, according to the mapping relationship between the interval range of each relevant indicator data and the risk score, the risk score corresponding to each relevant indicator data of security identification is analyzed and the overall risk score is obtained by summing them up.

[0034] Data ranges of various relevant indicators for safety identification: Divide different safety identification related indicator data into different ranges, and each range corresponds to a specific degree of risk. For example, blood pressure can be divided into different ranges such as normal range, mild hypertension range, moderate hypertension range, etc. The acquisition method is as follows: Through the analysis and research of a large amount of clinical data, combined with medical expertise, determine the reasonable ranges of different safety identification related indicators. For example, for blood pressure indicators, you can refer to medical standards to define systolic blood pressure of 90-140mmHg and diastolic blood pressure of 60-90mmHg as the normal blood pressure range.

[0035] The process of establishing the mapping relationship between risk scores and interval ranges is as follows: assign a corresponding risk score to each interval range based on the degree of impact of the indicator data on the patient's risk. The mapping relationship can usually be determined by expert evaluation, statistical analysis, and other methods.

[0036] The process of calculating the overall risk score is as follows: sum the risk scores corresponding to each security identification related indicator data to obtain the overall risk score.

[0037] For example: Patient A's blood pressure index corresponds to a risk score of 4 points, the heart rate index corresponds to a risk score of 3 points, and the allergy history index corresponds to a risk score of 5 points. The overall risk score is 4+3+5=12 points.

[0038] Step S300, analyzing and determining the risk level of patients undergoing enhanced CT scan in the radiology department according to the corresponding relationship between the interval range of the overall risk score into which the overall risk score falls and the risk level.

[0039] Overall risk score range: The calculated overall risk score is divided into different intervals, each of which represents a specific risk level. Risk level: It is used to describe the risk level faced by patients undergoing enhanced CT scans in the radiology department, which can generally be divided into different levels such as low risk, medium risk, and high risk.

[0040] The overall risk score range is determined as follows: Based on a large amount of clinical data statistics and the experience and judgment of medical experts, the overall risk score is reasonably divided. The interval boundaries can be determined by comprehensively considering the impact of different risk factors and the potential threat to patient safety.

[0041] The corresponding relationship with the risk level is established as follows: Based on medical expertise and clinical practice experience, different overall risk score intervals are matched with corresponding risk levels. Usually, low-risk intervals correspond to lower risk levels, and high-risk intervals correspond to higher risk levels.

[0042] The risk level is determined by analysis as follows: After the patient's overall risk score is obtained, the corresponding risk level is determined based on the interval range of the overall risk score.

[0043] For example, the patient's overall risk score is 15 points, which is in the medium risk range, so the patient's risk level is determined to be medium risk. When performing enhanced CT examinations, doctors need to be more cautious and pay close attention to the patient's physical condition.

[0044] Step S400: Send the analyzed and determined risk level and overall risk score of the radiology enhanced CT patient to the terminal held by the person in charge.

[0045] Risk level of patients undergoing enhanced CT scans in the Department of Radiology: The risk level faced by patients during enhanced CT scans in the Department of Radiology determined through analysis in the previous steps is divided into different levels such as low risk, medium risk, and high risk.

[0046] Terminal held by the person in charge: usually refers to the equipment used by doctors, technicians or managers responsible for enhanced CT examinations in the radiology department, such as computers, tablets, mobile phones, etc., to receive patients' risk information in order to make corresponding decisions and arrangements.

[0047] Reference Figure 2 According to the mapping relationship between the range of each relevant indicator data and the risk score, the risk score corresponding to each relevant indicator data of security identification is analyzed and the overall risk score is calculated by summing up, including: Step S210, analyzing whether the information source of the acquired security identification related indicator data is actively entered by the patient, wherein the information source includes the patient's active entry and the search query of the patient's related medical information, and defining that the security identification related indicator data actively entered by the patient and the search query of the patient's related medical information do not have an intersection. If yes, execute step S220; if no, execute step S250.

[0048] Patient active entry: security identification related indicator data filled out or provided by the patient on a specific system or platform. Search and query patient-related medical information: search for patient-related medical information through hospital information systems, electronic medical records and other channels to obtain security identification related indicator data.

[0049] The process of analyzing whether the source of information is actively entered by patients is as follows: a data source judgment module is set up in the system. When obtaining security identification related indicator data, the module first analyzes the source of the data. If the data enters the system by filling in and submitting it on a specific interface, it is judged to be actively entered by the patient; if the data is automatically obtained by the system through searching and querying from channels such as hospital databases and electronic medical records, it is judged to be a search and query of patient-related medical information.

[0050] Step S220, identify and obtain the safety identification related indicator data actively entered by the patient, and analyze and obtain the risk score corresponding to the safety identification related indicator actively entered by the patient based on the mapping relationship between the range of each related indicator data interval and the risk score.

[0051] The method of identifying and obtaining the safety identification related indicator data actively entered by the patient is as follows: Through the hospital's online appointment system, patient information registration platform and other channels, let the patient actively fill in the relevant information before undergoing the radiology department's enhanced CT examination. The system identifies and extracts this information to determine the safety identification related indicator data actively entered by the patient.

[0052] The process of obtaining the risk score based on the mapping relationship analysis is as follows: a table or database corresponding to the interval range of each safety identification related indicator data and the risk score is established in advance. After the indicator data actively entered by the patient is identified, these data are matched with the corresponding interval range to determine the interval range in which they are located, and then the risk score corresponding to the indicator data is obtained based on the mapping relationship.

[0053] For example, for the indicator of allergy history, if the patient is allergic to contrast agents, a higher risk score will be assigned. Assume that the risk score for allergy to a specific contrast agent is set to 5 points. Xiao Wang actively enters information about his allergy to a certain contrast agent. Based on the mapping relationship, the system determines that Xiao Wang's risk score for the indicator of allergy history is 5 points.

[0054] Step S230, and at the same time, according to the mapping relationship between the interval range of each relevant indicator data into which the security identification related indicator data obtained by searching and querying the patient's related medical information falls and the risk score, the risk score corresponding to the security identification related indicator obtained by searching and querying the patient's related medical information is analyzed.

[0055] Obtain security identification-related indicator data obtained by searching and querying patient-related medical information: Use the hospital's information management system to search and query the patient's unique identifier (such as ID number, medical record number, etc.). You can extract the patient's medical history, examination report, diagnosis results and other information from the electronic medical record system; obtain laboratory examination data from the inspection system; and query the patient's medication records from the pharmacy system.

[0056] For example, before the doctor performs an enhanced CT scan on patient Xiao Li, he searches Xiao Li's electronic medical records through the hospital information system and finds that he has a history of hypertension and his recent blood pressure measurement is 150 / 95 mmHg. At the same time, he searches Xiao Li's liver and kidney function indicators from the inspection system. This information is extracted as security identification related indicator data.

[0057] Step S240, summing up the risk scores corresponding to the security identification related indicators obtained by searching and querying the patient's related medical information and the risk scores corresponding to the security identification related indicators actively entered by the patient to obtain an overall risk score.

[0058] Step S250, according to the mapping relationship between the interval range of each relevant indicator data and the risk score, the risk score corresponding to each relevant indicator data of security identification is analyzed and the overall risk score is obtained by summing them up.

[0059] Reference Figure 3 , the risk scores corresponding to the security identification related indicators obtained by searching and querying the patient's related medical information are summed with the risk scores corresponding to the security identification related indicators actively entered by the patient, and the overall risk score is obtained, including: Step S241 , performing reliability quantitative evaluation on the safety identification related indicators input by the patient according to a preset data reliability quantitative evaluation method, and obtaining a reliability quantitative evaluation value.

[0060] Preset data reliability quantitative assessment method: A specific method for assessing the reliability of safety identification related indicators actively input by patients. This method can convert the indicator data input by patients into a quantitative reliability assessment value to determine the credibility of these data.

[0061] Reliability Quantitative Evaluation Value: A value obtained through the data reliability quantitative evaluation method, which is used to indicate the reliability of the safety identification related indicators actively input by the patient. The higher the value, the stronger the reliability.

[0062] The preset data reliability quantitative evaluation method is as follows: First, make a sub-item assessment, including integrity assessment, consistency assessment, logic assessment, and timeliness assessment.

[0063] The process of completeness assessment is as follows: The computer automatically identifies the required fields. For each required field, if there is data, it is marked as "filled in", and if there is no data, it is marked as "not filled in". Calculate the ratio of the number of filled required fields to the total number of required fields. For example, there are a total of 10 required fields, and the patient filled in 8, then the ratio is 8 / 10=0.8. Determine the completeness score based on the ratio. You can set multiple intervals to correspond to different scores, such as a score of 90-100 points for a ratio of 0.9 and above; a score of 80-89 points for a ratio of 0.8-0.89; and so on. Assuming that Xiao Li has filled in all the required items, the ratio is 1, and the completeness score corresponds to the highest interval, which is 90 points.

[0064] The consistency assessment process is as follows: The computer automatically compares the information entered by the patient with the information in the electronic medical record and other databases. For key information such as allergy history and past medical history, a string matching algorithm is used. If it is a complete match, it is marked as "completely consistent"; if most of the key information matches, it is marked as "partially consistent"; if only a small part of the key information matches or almost does not match, it is marked as "a little consistent" and "inconsistent" respectively. The consistency score is determined according to different degrees of matching. For example, "completely consistent" corresponds to 80-100 points, "partially consistent" corresponds to 40-79 points, "a little consistent" corresponds to 20-39 points, and "inconsistent" corresponds to 0-39 points. Assume that the allergy history and past medical history entered by Xiao Li are completely consistent with the electronic medical record, and the consistency score is 90 points.

[0065] Logical evaluation: Establish a medical logic rule base and enter the logical relationship between common ages, medical histories and physiological indicators. The computer analyzes the information entered by the patient to determine whether it conforms to the relationship in the logical rule base. For example, whether the common diseases in a specific age group are consistent with the medical history entered by the patient; whether certain physiological indicators are associated with specific medical histories, etc. If it fully conforms to the logical rules, it is marked as "completely reasonable"; if most of it conforms, it is marked as "relatively reasonable"; if the degree of conformity is average, it is marked as "generally reasonable"; if it does not conform, it is marked as "not very reasonable"; if it does not conform at all, it is marked as "very unreasonable". Determine the logical score according to different degrees of rationality. For example, "completely reasonable" corresponds to 80-100 points, "relatively reasonable" corresponds to 60-79 points, and so on. Assuming that there is no obvious logical contradiction between the age, medical history and physiological indicators entered by Xiao Li, the logical score is 80 points.

[0066] Timeliness assessment: The computer records the timestamp of the patient's input information. For information involving time, such as the time range of physical conditions, it is compared with the current time. If the physical condition entered by the patient is within the last week, it is marked as "high timeliness"; if it is within the last two weeks, it is marked as "relatively timeliness"; if it is within the last month, it is marked as "average timeliness"; and so on.

[0067] The timeliness score is determined according to different degrees of timeliness. For example, "high timeliness" corresponds to 80-100 points, "relatively high timeliness" corresponds to 60-79 points, and so on. Assuming that Xiao Li's input of physical condition is within the past week, the timeliness score is 85 points.

[0068] Then make a comprehensive calculation, as follows: pre-set the weights of integrity, consistency, logic and timeliness. For example, the weight of integrity is 30%, the weight of consistency is 30%, the weight of logic is 20%, and the weight of timeliness is 20%. Calculate according to the scores and weights of each item. Assuming that the integrity score is A, the consistency score is B, the logic score is C, and the timeliness score is D, then the reliability quantitative evaluation value = A×30%+B×30%+C×20%+D×20%.

[0069] Step S242, if the obtained reliability quantitative evaluation value exceeds the preset reliability quantitative evaluation threshold, the risk score corresponding to the security identification related indicators obtained by searching and querying the patient's related medical information is summed with the risk score corresponding to the security identification related indicators actively entered by the patient to obtain the overall risk score.

[0070] Preset reliability quantitative assessment threshold: A pre-set numerical standard used to determine whether the safety identification-related indicator data entered by the patient is reliable enough to decide whether to sum it with the risk score obtained from the search query to calculate the overall risk score.

[0071] Step S243, on the contrary, according to the interval range that the reliability quantitative evaluation value falls into and the risk score adjustment coefficient, the risk score of the safety identification related indicator input by the patient is adjusted according to the risk score adjustment coefficient, and the adjusted risk score is summed with the risk score corresponding to the safety identification related indicator obtained by searching and querying the patient's related medical information to calculate the reliability quantitative evaluation value.

[0072] Interval range and risk score adjustment coefficient: The reliability quantitative assessment value is divided into different interval ranges, and each interval range corresponds to a specific risk score adjustment coefficient. This coefficient is used to adjust the risk score of the safety identification related indicators actively entered by the patient according to the reliability quantitative assessment value.

[0073] The process of determining the interval range and risk score adjustment coefficient is as follows: The risk score adjustment coefficient corresponding to different reliability quantitative assessment value intervals can be determined through data analysis and expert experience. For example, the reliability quantitative assessment value is divided into intervals of 0-50 points, 51-70 points, 71-90 points, etc., and each interval corresponds to a different adjustment coefficient. For example: Set the risk score adjustment coefficient for the reliability quantitative assessment value in the interval of 60-70 points to 0.8.

[0074] The process of adjusting the risk score actively entered by the patient is as follows: According to the determined risk score adjustment coefficient, the risk score corresponding to the safety identification related indicators actively entered by the patient is adjusted. The adjusted risk score = the risk score actively entered by the patient × the risk score adjustment coefficient. For example: Assume that the risk score corresponding to the safety identification related indicators actively entered by Xiao Li is 40 points. Since Xiao Li's reliability quantitative assessment value is 65 points, which is in the range of 60-70 points, the risk score adjustment coefficient is 0.8. The adjusted risk score = 40 × 0.8 = 32 points.

[0075] Reference Figure 4 According to the mapping relationship between the range of each relevant indicator data and the risk score, the risk score corresponding to each relevant indicator data of security identification is analyzed and the overall risk score is calculated by summing up, including: Step S2a0, preprocessing the acquired security identification related indicator data, the data preprocessing includes standardization and cleaning.

[0076] Data preprocessing: Preprocess the acquired security identification related indicator data to improve the quality and availability of the data and provide a better basis for subsequent analysis and calculation.

[0077] Standardization: Standardize the data of safety identification related indicators of different types and units in a unified manner to make different indicators comparable. The specific processing process is as follows: For numerical indicators, common standardization methods can be used, such as Z-score standardization. First, calculate the mean and standard deviation of the indicator data, and then for each data point, subtract the mean and divide it by the standard deviation to obtain the standardized value. For categorical variables, coding processing can be performed, for example, encoding male as 0 and female as 1.

[0078] Cleaning: Remove noise, erroneous data and outliers in the data of security identification related indicators to ensure the accuracy and reliability of the data. The specific processing process is as follows: Outliers can be identified and removed by setting reasonable ranges and rules. For example, for blood pressure indicators, if the value exceeds the normal range (such as systolic blood pressure greater than 180mmHg or less than 90mmHg), it can be considered an outlier and processed. For obviously erroneous data, such as age filled in as a negative number, manual inspection can be performed or screened and removed through data validation rules.

[0079] Step S2b0, using a preset correlation analysis method to perform correlation quantitative value analysis on the security identification related indicator data that has completed data processing.

[0080] Preset correlation analysis method: An analysis method used to measure the degree of correlation between different security identification related indicators. This method can obtain a quantitative correlation value that reflects the relationship between various indicators.

[0081] Correlation quantification value: A value calculated by a preset correlation analysis method, used to indicate the degree of correlation between different security identification related indicators. The size and positive or negative value of the value reflects the strength and direction of the correlation.

[0082] The correlation analysis method adopted in this application is the Pearson correlation coefficient, which is also called the linear correlation coefficient. It is a statistical indicator for measuring the strength of the linear relationship between two variables. Its value range is between -1 and 1. When the correlation coefficient is 1, it means that there is a complete positive linear correlation between the two variables, that is, the increase of one variable will be accompanied by an equal proportion increase of the other variable. When the correlation coefficient is -1, it means that there is a complete negative linear correlation between the two variables, that is, the increase of one variable will be accompanied by an equal proportion decrease of the other variable. When the correlation coefficient is 0, it means that there is no linear correlation between the two variables, but there may be other types of relationships.

[0083] The steps for correlation quantification value analysis are as follows: Collect data: Assume that there is data on indicators related to security identification, such as blood pressure (variable X), heart rate (variable Y), age (variable Z), etc. Assume that we have these indicator data for a group of patients.

[0084] Calculate the mean: Calculate the mean of variable X and variable Y respectively.

[0085] For example, a set of data for variable X (blood pressure) is [120, 130, 125, 118, 122], and its mean is (120+130+125+118+122) / 5=123. Suppose a set of data for variable Y (heart rate) is [70, 75, 72, 68, 71], and its mean is (70+75+72+68+71) / 5=7.

[0086] Calculate covariance: Covariance reflects the degree of common variation between two variables. The calculation formula is: Where X i and Y i are the i-th observation values ​​of variables X and Y, respectively. and are the means of variables X and Y respectively, and n is the number of observations.

[0087] Calculate standard deviation: Calculate the standard deviation of variable X and variable Y respectively.

[0088] Calculate the Pearson correlation coefficient: The correlation coefficient calculation formula is Where Cov(X, Y) is the covariance, S X and S Y are the standard deviations of variables X and Y respectively.

[0089] Step S2c0, if the correlation quantization value obtained by analysis is less than the preset quantization value, then according to the mapping relationship between the interval range of each relevant indicator data and the risk score, the risk score corresponding to each relevant indicator data of security identification is analyzed and the overall risk score is calculated by summing them up.

[0090] Step S2d0, on the contrary, the correspondence between the interval range of the correlation quantization value obtained by analysis and the adjustment coefficient is analyzed to determine whether there are security identification related indicator pairs whose correlation quantization values ​​exceed the preset quantization values ​​and the adjustment coefficients of the corresponding indicator pairs.

[0091] Among them, the correspondence between the interval range and the adjustment coefficient is: the correlation quantification value is divided into different interval ranges, and each interval range corresponds to a specific adjustment coefficient, which is used to adjust the risk score of the security identification related indicators.

[0092] Determine the correlation and determine the indicator pair and adjustment coefficient: Acquisition method: When the correlation quantification value is greater than or equal to the preset quantification value, it means that there is a strong correlation. At this time, match the correlation quantification value with the corresponding relationship between the preset interval range and the adjustment coefficient to determine the interval range in which the correlation quantification value falls, and then determine the corresponding adjustment coefficient. At the same time, determine that there is a safety identification related indicator pair whose correlation quantification value exceeds the preset quantification value. For example: Assume that the correlation quantification value is 0.7 and the preset quantification value is 0.5. The correspondence between the preset interval range and the adjustment coefficient is: the correlation quantification value in the range of 0.5-0.7 corresponds to an adjustment coefficient of 0.8. If the correlation quantification value of the two indicators of blood pressure and heart rate is 0.7, then blood pressure and heart rate are determined to be safety identification related indicator pairs with correlation quantification values ​​exceeding the preset quantification value, and the corresponding adjustment coefficient is 0.8.

[0093] Step S2e0, according to the mapping relationship between the adjustment coefficient of the corresponding security identification related indicator pair, the range of each related indicator data that each related indicator data of security identification falls into and the risk score, analyze and obtain the risk score corresponding to each related indicator data of security identification, and sum and calculate to obtain the overall risk score.

[0094] Wherein, determining the adjustment coefficient: as described in step S2d0, the corresponding adjustment coefficient is determined according to the corresponding relationship between the interval range in which the correlation quantization value falls and the adjustment coefficient.

[0095] Analyze and obtain the risk score corresponding to the security identification related indicator data: Acquisition method: According to the mapping relationship between the interval range of each related indicator data and the risk score, analyze the security identification related indicator data to obtain the risk score corresponding to each indicator data. Then, multiply these risk scores by the corresponding adjustment coefficient to obtain the adjusted risk score. For example: For example, a certain security identification related indicator data (such as blood pressure) falls into a specific interval range, and the corresponding original risk score is 4 points. After calculation, the adjustment coefficient corresponding to the indicator is 0.85, so the adjusted risk score is 4×0.85=3.4 points.

[0096] Sum and calculate the overall risk score: Acquisition method: Sum the risk scores corresponding to each adjusted security identification related indicator data to obtain the overall risk score. For example: Assume that there are multiple security identification related indicators, and the adjusted risk scores are 3.4 points, 2.8 points, 3.1 points, etc. Sum these risk scores, that is, the overall risk score = 3.4 + 2.8 + 3.1 + ...

[0097] The preset correlation analysis method is used to perform correlation quantitative value analysis on the security identification related indicator data that has completed data processing, including: Step S2b1, analyzing whether the information source of the acquired safety identification related indicator data is actively input by the patient.

[0098] Step S2b2: if the answer is no, a preset correlation analysis method is used to perform correlation quantitative value analysis on the security identification related indicator data that has completed data processing.

[0099] Among them, the correlation analysis method adopted in the present application can be the same as the correlation analysis method mentioned in step S2b0, which will not be described here.

[0100] Step S2b3, if yes, then a multi-dimensional evaluation index scheme is used to evaluate the quantitative value of the user input index in each dimension, and the dimensions include accuracy dimension, detail dimension and consistency dimension.

[0101] Multi-dimensional evaluation index scheme: A method system for comprehensively evaluating security identification related indicators of user input, quantitatively evaluating the indicators from multiple different perspectives to determine their reliability and value.

[0102] The following is a multi-dimensional evaluation indicator scheme that can be executed and analyzed by a computer: 1. Accuracy dimension assessment: Data comparison: Acquisition method: Compare the numerical indicators (such as blood pressure, heart rate, etc.) entered by the user with the most recent measurement results in the hospital database. For text indicators (such as medical history descriptions), compare with the records in the electronic medical record. Quantitative method: Calculate the degree of difference between the two. For example, for blood pressure values, the proportion of the absolute difference to the reference value can be calculated. If the difference ratio is within 5%, 80-100 points are given; 5%-10% gives 60-79 points; 10%-15% gives 40-59 points; 15%-20% gives 20-39 points; more than 20% gives 0-19 points.

[0103] Range judgment: Acquisition method: For numerical indicators, determine whether they are within a reasonable physiological range. For text indicators, determine whether they conform to medical logic and common clinical manifestations. Quantitative method: If the value is within a reasonable range or the text description is logical, give 80-100 points; if it is close to the boundary of the reasonable range or there is a certain degree of suspicion, give 60-79 points; if it exceeds the reasonable range but the deviation is not large or the logic is not very rigorous, give 40-59 points; if it obviously exceeds the reasonable range or is logically contradictory, give 20-39 points; if it seriously exceeds the reasonable range or is completely illogical, give 0-19 points.

[0104] 2. Evaluation of the Detail Dimension: Completion of Required Items: Acquisition method: Check the completion of required items in the security identification related indicators entered by the user. Quantification method: Calculate the proportion of the number of required items filled in to the total number of required items. If the proportion is 90% or above, 80-100 points will be given; 80%-89% will be given 60-79 points; 70%-79% will be given 40-59 points; 60%-69% will be given 20-39 points; and below 60% will be given 0-19 points.

[0105] Additional information provided: Acquisition method: Analyze whether the user provides additional useful information beyond the required items. For example, in the medical history description, the triggers of symptoms, relief methods, etc. are described in detail. Quantitative method: Different scores are given according to the richness of the additional information. If a lot of useful additional information is provided, 80-100 points are given; if some useful information is provided, 60-79 points are given; if the information provided is limited but of certain value, 40-59 points are given; if the information provided is little or of little value, 20-39 points are given; if no additional information is provided, 0-19 points are given.

[0106] 2.Consistency dimension assessment: Internal consistency: Acquisition method: Check whether there are logical contradictions between different indicators input by users. For example, whether the medical history entered by the patient is consistent with the current symptoms, and whether the information entered at different time points is consistent. Quantitative method: If it is completely consistent and logically reasonable, 80-100 points will be given; if it is mostly consistent and the logic is relatively reasonable, 60-79 points will be given; if it is partially consistent but there are some doubts, 40-59 points will be given; if it is slightly consistent or the logic is not clear, 20-39 points will be given; if it is completely inconsistent or logically contradictory, 0-19 points will be given.

[0107] External consistency: Acquisition method: Compare the information entered by the user with other relevant information in the hospital database, such as examination reports, diagnosis results, etc. Quantitative method: If it is completely consistent with the external information, give 80-100 points; if it is mostly consistent, give 60-79 points; if it is partially consistent, give 40-59 points; if it is slightly consistent, give 20-39 points; if it is almost inconsistent, give 0-19 points.

[0108] Step S2b4, calculating the comprehensive reliability evaluation score of the user input indicator according to the preset dimension weight distribution scheme and the quantitative value of the user input indicator in each dimension.

[0109] Among them, dimension weight allocation scheme: In order to comprehensively evaluate the reliability of user input indicators, different weight values ​​are assigned to the accuracy dimension, detail dimension and consistency dimension to reflect the importance of each dimension in the overall evaluation.

[0110] Reliability comprehensive evaluation score: A value obtained by weighted calculation of the quantitative values ​​of the user input indicators in various dimensions, used to measure the overall reliability of the user input indicators.

[0111] Determine the dimension weight allocation scheme: Acquisition method: The dimension weight allocation scheme can be determined through data analysis, expert experience, and judgment of the importance of different dimensions. Generally speaking, the accuracy dimension is usually more important and can be assigned a higher weight; the detail dimension and consistency dimension are assigned appropriate weights according to specific circumstances. For example: Assume that the accuracy dimension weight is 40%, the detail dimension weight is 30%, and the consistency dimension weight is 30%.

[0112] Calculate the comprehensive reliability evaluation score of the user input indicator: Acquisition method: First, according to the multi-dimensional evaluation indicator scheme determined in step S2b3, obtain the quantitative values ​​of the user input indicator in the accuracy dimension, the detail dimension and the consistency dimension. Then, according to the dimension weight distribution scheme, the quantitative values ​​of each dimension are weighted to obtain the comprehensive reliability evaluation score. For example: Assume that the quantitative value of the user input indicator in the accuracy dimension is 80 points, the quantitative value of the detail dimension is 70 points, and the quantitative value of the consistency dimension is 75 points. According to the weight distribution scheme determined above, the comprehensive reliability evaluation score = 80 × 40% + 70 × 30% + 75 × 30% = 32 + 21 + 22.5 = 75.5 points.

[0113] Step S2b5, analyzing and determining the correlation coefficient adjustment ratio according to the score interval into which the comprehensive reliability evaluation score of the user-input indicator falls and the correlation coefficient adjustment ratio.

[0114] Score range and correlation coefficient adjustment ratio: The reliability comprehensive evaluation score is divided into different ranges, and each range corresponds to a specific correlation coefficient adjustment ratio. This ratio is used to adjust the correlation coefficient to more accurately analyze the correlation quantitative value when there are user-input indicators with different reliabilities.

[0115] Correlation coefficient adjustment ratio: a value determined according to the interval range in which the comprehensive evaluation score of the reliability of the user input indicator falls, used to adjust the correlation coefficient to reflect the impact of the reliability of the user input indicator on the correlation analysis.

[0116] Determine the score interval and the correlation coefficient adjustment ratio: Acquisition method: The reasonable score interval division and the corresponding correlation coefficient adjustment ratio can be determined through data analysis and expert experience. Generally speaking, the higher the reliability comprehensive evaluation score, the more reliable the user input indicator, and the smaller the correlation coefficient adjustment ratio should be to maintain the stability of the correlation analysis; conversely, the lower the reliability comprehensive evaluation score, the larger the correlation coefficient adjustment ratio should be to reduce the impact of unreliable indicators on the correlation analysis. For example: Assume that the reliability comprehensive evaluation score is divided into four intervals of 0-50 points, 51-70 points, 71-90 points, and 91-100 points, and the corresponding correlation coefficient adjustment ratios are 0.5, 0.8, 0.95, and 1 respectively.

[0117] Analyze and determine the correlation coefficient adjustment ratio: Acquisition method: According to the comprehensive reliability evaluation score of the user-input indicator, determine the interval range that the score falls into, and then determine the corresponding correlation coefficient adjustment ratio. For example: Assuming that the comprehensive reliability evaluation score of the user-input indicator is 78 points, the score falls into the interval range of 71-90 points, and the corresponding correlation coefficient adjustment ratio is 0.95.

[0118] In this step, the patient's condition change indicators also need to be considered. When the severity of the symptoms changes greatly, the user's description of the symptoms may be affected by factors such as emotions and cognitive biases, thereby reducing the reliability comprehensive evaluation score. For example, if the pain symptoms change from mild to severe, the patient may overemphasize the degree of pain, resulting in a decrease in the accuracy of the description. On the other hand, a drastic change in the condition may also make the patient pay more attention to their own symptoms, thereby increasing the level of detail in the description, which may improve the reliability comprehensive evaluation score to a certain extent.

[0119] On the basis of considering the patient's condition change index, the following steps should also be taken: obtain the quantitative value of the symptom severity change range, set different symptom severity change ranges, and assign an impact coefficient to each range. For example, the change range can be divided into three ranges: small (0-2 points), medium (2-4 points), and large (4 points or more), corresponding to the impact coefficients K1, K2, and K3 respectively. When calculating the reliability comprehensive evaluation score, if the patient's symptom severity change range falls into a certain range, the impact coefficient of the range is multiplied by the original score to obtain the adjusted reliability comprehensive evaluation score. For example, the original score is S, the change range falls into the medium range, and the impact coefficient is K2, then the adjusted score becomes S multiplied by K2.

[0120] Step S2b6, based on the correlation coefficient adjustment ratio determined by analysis and the preset correlation analysis method, a correlation quantitative value analysis is performed on the security identification related indicator data that has completed data processing.

[0121] Perform correlation quantitative value analysis: Acquisition method: Use the preset correlation analysis method to analyze the security identification related indicator data that has completed data processing. During the analysis process, the correlation coefficient is multiplied by the determined correlation coefficient adjustment ratio to adjust the correlation analysis result. For example: Assume that the Pearson correlation coefficient is used as the preset correlation analysis method, and the correlation analysis is performed on the two security identification related indicator data of blood pressure and heart rate. Under normal circumstances, the calculated Pearson correlation coefficient is 0.7. Since the determined correlation coefficient adjustment ratio is 0.9, the adjusted correlation quantitative value is 0.7×0.9=0.63.

[0122] A multi-factor safety identification method for radiology enhanced CT patients also includes a step of sending the analyzed and determined risk level and overall risk score of radiology enhanced CT patients to a terminal held by a responsible person, which is as follows: Step SA00, analyzing the relevant indicators whose risk scores exceed the preset risk scores, and defining the relevant indicators whose risk scores exceed the preset risk scores as target indicators.

[0123] Analyze the related indicators whose risk scores exceed the preset risk scores: Acquisition method: Compare the risk scores of each safety identification related indicator calculated by the multi-factor safety identification method with the preset risk score. If the risk score of an indicator exceeds the preset risk score, the indicator is defined as the target indicator. For example: Assume that the risk scores of multiple safety identification related indicators such as blood pressure, heart rate, and allergy history calculated by the safety identification method are 75 points, 85 points, and 60 points respectively. Since the risk score of the heart rate indicator of 85 points exceeds the preset risk score of 80 points, the heart rate indicator is defined as the target indicator.

[0124] Step SB00, based on the correspondence between the data of each relevant indicator and the detection items, analyze and determine the detection items of each relevant indicator that exceeds the preset risk score, and send them to the terminal held by the person in charge.

[0125] Correspondence between relevant indicator data and test items: The association between safety identification related indicators and specific test items is established. Through this correspondence, the test items that need to be carried out can be determined based on specific indicators.

[0126] Test items: Specific examinations or tests determined for relevant indicators that exceed the preset risk score, with the purpose of gaining a deeper understanding of the patient's condition so that appropriate measures can be taken to reduce risks.

[0127] Determine the correspondence between the data of each relevant indicator and the test items: Acquisition method: The correspondence between the data of each relevant indicator and the test items can be established through medical knowledge, clinical experience and expert opinions. For example, for the indicator of high blood pressure, the corresponding test item may be dynamic blood pressure monitoring; for the indicator related to allergy history, the corresponding test item may be allergen detection, etc. For example: establish a correspondence table, in which the high blood pressure indicator corresponds to dynamic blood pressure monitoring, electrocardiogram examination and other test items; abnormal heart rate corresponds to dynamic electrocardiogram monitoring, cardiac ultrasound examination and other test items.

[0128] A multi-factor safety identification method for enhanced CT patients in a radiology department also includes steps after analyzing and determining the detection items of each relevant indicator data exceeding a preset risk score and before sending the data to a terminal held by a person in charge, specifically as follows: Step SC00, calculating the comprehensive evaluation value of different target indicators according to the risk score of the target indicator, the correlation quantification value and the preset weight allocation scheme of the comprehensive evaluation values ​​of different target indicators; Comprehensive evaluation value weight allocation scheme: In order to comprehensively consider the risk score and correlation quantification value of the target indicator, different pre-set weight allocation schemes are used to calculate the comprehensive evaluation value of the target indicator.

[0129] Determine the weight allocation scheme for the comprehensive evaluation value: Acquisition method: The weight allocation scheme for the comprehensive evaluation value can be determined through data analysis, expert experience and clinical practice. For example, a large number of historical cases can be analyzed to determine the relative importance of risk scores and correlation quantification values ​​in the comprehensive evaluation, and then the corresponding weights can be allocated based on this importance. Medical experts can also be invited to determine the weight allocation scheme based on their experience and expertise. For example: After analysis and expert discussion, it is determined that the weight of the risk score is 60% and the weight of the correlation quantification value is 40%.

[0130] Calculate the comprehensive evaluation value of the target indicator: Acquisition method: First, obtain the risk score and correlation quantification value of the target indicator. Then, according to the comprehensive evaluation value weight allocation scheme, weight the risk score and correlation quantification value to obtain the comprehensive evaluation value of the target indicator. For example: Assume that the risk score of a target indicator is 85 points and the correlation quantification value is 0.7. According to the determined weight allocation scheme, the weight of the risk score is 60% and the weight of the correlation quantification value is 40%. Then the comprehensive evaluation value of the target indicator is 85×60%+0.7×40%=51+0.28=51.28.

[0131] Step SD00, according to the preset detection item logic matrix and the comprehensive evaluation values ​​of different target indicators, the detection items corresponding to the target indicators are sorted from top to bottom according to the comprehensive evaluation values ​​based on the preset detection item logic matrix.

[0132] Test item logic matrix: A pre-set matrix structure used to determine the logical relationship and priority between test items corresponding to different target indicators. It takes into account factors such as medical rationality, necessity of testing, and resource utilization efficiency.

[0133] Top-down sorting: Arrange the inspection items from high to low according to the comprehensive evaluation value of the target indicators, so that high-risk and high-importance inspection items appear at the top of the list first, so that the person in charge can give priority to these inspection items.

[0134] Determine the logical matrix of test items: Acquisition method: The logical matrix of test items can be determined through the experience of medical experts, clinical guidelines and data analysis. Medical experts can determine the logical relationship and priority between the test items corresponding to different target indicators based on their professional knowledge and clinical experience. At the same time, a large number of historical cases can be analyzed to verify and optimize the logical matrix of test items. For example: Suppose a logical matrix of test items is established, in which for target indicator A, the corresponding test items are X, Y, and Z. According to the medical rationality and the necessity of the test, the priority of the test items is determined to be X>Y>Z.

[0135] Sorting the test items: Acquisition method: First, obtain the comprehensive evaluation values ​​of different target indicators. Then, according to the preset test item logic matrix, the test items corresponding to the target indicators are sorted from top to bottom according to the comprehensive evaluation values ​​based on the logic matrix. For example: Suppose there are two target indicators A and B, and the corresponding comprehensive evaluation values ​​are 80 and 70 respectively. For target indicator A, the corresponding test items are X, Y, and Z; for target indicator B, the corresponding test items are W, V, and U. According to the test item logic matrix and the comprehensive evaluation value, the sorting is as follows: test item X (corresponding to target indicator A, comprehensive evaluation value 80); test item Y (corresponding to target indicator A, comprehensive evaluation value 80); test item Z (corresponding to target indicator A, comprehensive evaluation value 80); test item W (corresponding to target indicator B, comprehensive evaluation value 70); test item V (corresponding to target indicator B, comprehensive evaluation value 70); test item U (corresponding to target indicator B, comprehensive evaluation value 70).

[0136] The present application also provides a multi-factor safety identification system for patients undergoing enhanced CT scans in the radiology department, a multi-factor dynamic safety identification system for patients undergoing enhanced CT scans in the radiology department, comprising: an acquisition module for acquiring safety identification-related indicator data; an overall risk score analysis module for analyzing and obtaining the risk scores corresponding to the safety identification-related indicator data according to the mapping relationship between the interval ranges of the safety identification-related indicator data and the risk scores, and summing and calculating the overall risk score; a risk level analysis module for analyzing and determining the risk level of patients undergoing enhanced CT scans in the radiology department according to the corresponding relationship between the interval ranges of the overall risk scores into which the overall risk scores fall and the risk level; and a notification module for sending the analyzed and determined risk level of patients undergoing enhanced CT scans in the radiology department and the overall risk score to the terminal held by the person in charge.

[0137] The present application also provides a controller, a controller comprising a memory, a processor and a program stored in the memory and executable on the processor, wherein the program can be loaded and executed by the processor to implement the following Figures 1 to 4 A multi-factor safe identification method for patients undergoing enhanced CT in the radiology department is shown.

[0138] The embodiments of this specific implementation method are all preferred embodiments of the present application, and are not intended to limit the protection scope of the present application. Therefore, all equivalent changes made based on the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A multi-factor safety identification method for radiology enhanced CT patients, characterized in that: include: Obtain security identification related indicator data; According to the mapping relationship between the range of each relevant indicator data and the risk score, the risk score corresponding to each relevant indicator data of security identification is analyzed and the overall risk score is calculated by summing them up; According to the corresponding relationship between the interval range of the overall risk score and the risk level, the risk level of patients undergoing enhanced CT in the radiology department is analyzed and determined; The risk level and overall risk score of the radiology enhanced CT patients determined through analysis will be sent to the terminal held by the person in charge.

2. A multi-factor safety identification method for radiology enhanced CT patients according to claim 1, characterized in that: According to the mapping relationship between the range of each relevant indicator data and the risk score, the risk score corresponding to each relevant indicator data of security identification is analyzed and the overall risk score is calculated by summing up, including: Analyze whether the information source of the acquired security identification related indicator data is actively entered by the patient, where the information source includes active entry by the patient and search query of patient-related medical information, and define that there is no intersection between the security identification related indicator data actively entered by the patient and the search query of patient-related medical information; If yes, then identify and obtain the safety identification related indicator data actively entered by the patient, and analyze and obtain the risk score corresponding to the safety identification related indicator actively entered by the patient based on the mapping relationship between the interval range of each related indicator data and the risk score that the safety identification related indicator data actively entered by the patient falls into; At the same time, according to the mapping relationship between the interval range of each relevant indicator data into which the security identification related indicator data obtained by searching and querying the patient's related medical information falls and the risk score, the risk score corresponding to the security identification related indicator obtained by searching and querying the patient's related medical information is analyzed; The risk score corresponding to the security identification related indicator obtained by searching and querying the patient's related medical information is summed with the risk score corresponding to the security identification related indicator actively entered by the patient to obtain an overall risk score; If not, then according to the mapping relationship between the interval range of each relevant indicator data and the risk score, the risk score corresponding to each relevant indicator data of security identification is analyzed and the overall risk score is calculated by summing them up.

3. A multi-factor safety identification method for radiology enhanced CT patients according to claim 2, characterized in that: The risk scores corresponding to the security identification related indicators obtained by searching and querying the patient's related medical information are summed with the risk scores corresponding to the security identification related indicators actively entered by the patient, and the overall risk score is obtained, including: Perform reliability quantitative evaluation on the safety identification related indicators input by the patient according to the preset data reliability quantitative evaluation method, and obtain the reliability quantitative evaluation value; If the obtained reliability quantitative evaluation value exceeds the preset reliability quantitative evaluation threshold, the risk score corresponding to the security identification related indicator obtained by searching and querying the patient's related medical information and the risk score corresponding to the security identification related indicator actively entered by the patient are summed up to obtain the overall risk score; On the contrary, based on the interval range that the reliability quantitative assessment value falls into and the risk score adjustment coefficient, the risk score of the safety identification related indicators input by the patient is adjusted according to the risk score adjustment coefficient, and the adjusted risk score is summed with the risk score corresponding to the safety identification related indicators obtained by searching and querying the patient's related medical information to calculate the reliability quantitative assessment value.

4. A multi-factor safety identification method for radiology enhanced CT patients according to claim 1, characterized in that: According to the mapping relationship between the range of each relevant indicator data and the risk score, the risk score corresponding to each relevant indicator data of security identification is analyzed and the overall risk score is calculated by summing them up; Perform data preprocessing on the acquired security identification related indicator data, including standardization and cleaning; Use the preset correlation analysis method to conduct correlation quantitative value analysis on the security identification related indicator data that has completed data processing; If the correlation quantification value obtained by the analysis is less than the preset quantification value, then the risk scores corresponding to the relevant indicator data of security identification are analyzed and calculated based on the mapping relationship between the relevant indicator data interval range and the risk score, and the overall risk score is obtained by summing them up; On the contrary, the correspondence between the interval range into which the correlation quantization value obtained by the analysis falls and the adjustment coefficient is analyzed to determine whether there are security identification related indicator pairs whose correlation quantization values ​​exceed the preset quantization values ​​and the adjustment coefficients of the corresponding indicator pairs; According to the adjustment coefficient of the corresponding safety identification related indicator pair, the mapping relationship between the range of each relevant indicator data of safety identification and the risk score, the analysis results are obtained. Securely identify the risk scores corresponding to each relevant indicator data, and sum them up to obtain the overall risk score.

5. A multi-factor safety identification method for radiology enhanced CT patients according to claim 4, characterized in that: The preset correlation analysis method is used to perform correlation quantitative value analysis on the security identification related indicator data that has completed data processing, including: Analyze whether the information source of the acquired safety identification related indicator data is actively entered by patients; If not, a preset correlation analysis method is used to perform correlation quantitative value analysis on the security identification related indicator data that has completed data processing; If yes, a multi-dimensional evaluation indicator scheme is used to evaluate the quantitative values ​​of the user input indicators in each dimension, including the accuracy dimension, the detail dimension, and the consistency dimension; According to the preset dimension weight distribution scheme and the quantitative value of the user input indicator in each dimension, the reliability comprehensive evaluation score of the user input indicator is calculated; According to the score interval into which the comprehensive reliability evaluation score of the user-input indicator falls and the correlation coefficient adjustment ratio, the correlation coefficient adjustment ratio is analyzed and determined; Based on the correlation coefficient adjustment ratio determined by the analysis and the preset correlation analysis method, a correlation quantitative value analysis is performed on the security identification related indicator data that has completed data processing.

6. A multi-factor safety identification method for radiology enhanced CT patients according to claim 4 or 5, characterized in that: The step of sending the risk level and overall risk score of the radiology enhanced CT patient determined by the analysis to the terminal held by the person in charge is also included, which is as follows: Analyze the relevant indicators whose risk scores exceed the preset risk scores, and define the relevant indicators whose risk scores exceed the preset risk scores as target indicators; According to the correspondence between the data of each relevant indicator and the detection items, the detection items of each relevant indicator that exceeds the preset risk score are analyzed and determined, and sent to the terminal held by the person in charge.

7. A multi-factor safety identification method for radiology enhanced CT patients according to claim 6, characterized in that: It also includes steps after analyzing and determining the detection items of each relevant indicator data that exceeds the preset risk score and before sending it to the terminal held by the person in charge, which are as follows: According to the risk score of the target indicator, the quantitative value of the correlation and the preset weight allocation scheme of the comprehensive evaluation values ​​of different target indicators, the comprehensive evaluation values ​​of different target indicators are calculated; According to the preset test item logic matrix and the comprehensive evaluation values ​​of different target indicators, the test items corresponding to the target indicators are sorted from top to bottom according to the comprehensive evaluation values ​​on the basis of meeting the preset test item logic matrix.

8. A multi-factor dynamic safety identification system for patients undergoing enhanced CT scans in the radiology department, characterized in that: include: An acquisition module is used to obtain security identification related indicator data; The overall risk score analysis module is used to analyze and obtain the risk scores corresponding to the relevant indicator data of security identification according to the mapping relationship between the relevant indicator data interval range and the risk score, and to calculate the overall risk score by summing them up; A risk level analysis module is used to analyze and determine the risk level of patients undergoing enhanced CT in the radiology department according to the corresponding relationship between the interval range of the overall risk score into which the overall risk score falls and the risk level; The notification module is used to send the risk level and overall risk score of the radiology enhanced CT patients analyzed and determined to the terminal held by the person in charge.

9. A controller, characterized in that: The invention comprises a memory, a processor and a program stored in the memory and executable on the processor, wherein the program can be loaded and executed by the processor to implement a multi-factor safety identification method for radiology enhanced CT patients as described in any one of claims 1 to 7.

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