Human body disease risk assessment method and system

Abstract

The invention relates to the field of data processing, in particular to a human body disease risk assessment method and system. The method comprises the following steps: acquiring data of a patient and scale item keywords of each evaluation scale; determining necessary scale item keywords and unnecessary scale item keywords from all scale item keywords of the evaluation scale; matching the data of the patient with the necessary scale item keyword of each evaluation scale so as to judge whether each necessary scale item keyword exists in the data or not; obtaining a first score of the scale; obtaining a second score of the evaluation scale; and for each evaluation scale, adding the first score and the second score of the evaluation scale to obtain a final score of the evaluation scale, and obtaining the body disease risk of the patient according to the final score of the evaluation scale. When the method is used for evaluating the disease risk of the patient, the efficiency is high, and the accuracy of the evaluation result is high.

Description

Technical Field

[0001] The present invention relates to the field of data processing. More specifically, the present invention relates to a method and system for assessing the risk of human diseases. Background Art

[0002] After a patient is admitted to the hospital, medical staff will evaluate and score the patient's disease risk by combining some evaluation scales, obtain the evaluation result based on the evaluated score, and the evaluation result is low risk / medium risk / high risk. The doctor will issue medical orders according to the evaluation result. For example, for surgical patients, the Caprini (surgical) scale is used. If the evaluation result is high risk and the surgical bleeding risk assessment is high risk, then preventive measures can include cautious use of drug treatment; if the mechanical contraindication risk assessment is low risk, mechanical treatment is recommended.

[0003] In the prior art, the method for evaluating and scoring the patient's disease risk is usually that the doctor first asks the patient about their physical conditions such as the disease condition, age, and physical condition, and compares the patient's physical conditions obtained from the inquiry with each scale item of the evaluation scale. If the patient's physical conditions match a certain scale item, the doctor manually selects the scale item and its corresponding score; finally, the scores of all selected scale items are summed to obtain the final score and then evaluate the patient's disease risk. However, this method requires manual comparison of the patient's physical conditions with each scale item of the evaluation scale, resulting in low efficiency of disease risk assessment; and manual evaluation relies on reading the patient's information and the evaluation scale with the naked eye, and the error rate is high under the condition of reading fatigue, resulting in inaccurate evaluation results. Summary of the Invention

[0004] To solve the above technical problems of low efficiency and low accuracy in disease risk assessment, the present invention provides solutions in the following aspects.

[0005] In a first aspect, the present invention provides a method for assessing the risk of human diseases, including: in response to the current moment being an evaluation opportunity, evaluating the physical state of the patient, including:

[0006] Obtaining the patient's information and the scale item keywords of each evaluation scale; the information includes: the patient's BMI index, age, and the word segmentation library of the disease course record;

[0007] Determining the necessary scale item keywords and non-necessary scale item keywords from all the scale item keywords of the evaluation scale;

[0008] Matching the patient's information with the necessary scale item keywords of each evaluation scale to determine whether each necessary scale item keyword exists in the information;

[0009] For each assessment scale, select the necessary scale items corresponding to the necessary scale item keywords existing in the data from the assessment scale, as well as the first assessment scores corresponding to the necessary scale items, and sum up the first assessment scores for each to obtain the first score;

[0010] In response to the first score of the assessment scale being less than or equal to the preset first threshold, stop scoring the assessment scale; in response to the first score of the assessment scale being greater than the preset first threshold, select the non-necessary scale item keywords of the assessment scale to match with the data, and select the non-necessary scale items corresponding to the selected non-necessary scale item keywords existing in the data from the assessment scale, as well as the second assessment scores corresponding to the non-necessary scale items, and sum up the second assessment scores for each to obtain the second score;

[0011] For each assessment scale, add the first score and the second score of the assessment scale to obtain the final score of the assessment scale, and obtain the physical disease risk of the patient based on the final score of the assessment scale.

[0012] Preferably, if the first score of the assessment scale is greater than the preset first threshold and less than the preset second threshold, the number of the selected non-necessary scale item keywords is half of the total number of non-necessary scale item keywords of the corresponding scale.

[0013] Preferably, if the first score of the assessment scale is greater than the preset second threshold, the selected non-necessary scale item keywords are all non-necessary scale item keywords of the corresponding scale.

[0014] Preferably, the method for obtaining the course record word segmentation library includes:

[0015] Obtain the electronic medical record of the patient;

[0016] Obtain the course record of the patient based on the electronic medical record;

[0017] Perform Chinese word segmentation on the course record to form a course record word segmentation library.

[0018] Preferably, the method for determining whether the current moment is in the assessment opportunity is as follows:

[0019] Search for the data of the patient from the hospital information system. In response to the duration from the current moment to the moment when the patient completed the admission procedures being less than the preset first threshold, and there are the admission procedures and the electronic medical record admission course record already processed by the patient in the hospital information system, it is determined that the current moment is in the assessment opportunity;

[0020] In response to the duration from the current moment to the moment when the patient completed the admission procedures being greater than the preset second threshold, and there are the pre-discharge procedures and the electronic medical record course record already processed by the patient in the hospital information system, it is determined that the current moment is in the assessment opportunity;

[0021] In response to the existence of the scheduled surgery time, the surgery time, the department transfer time, or the change time of the patient's condition status in the hospital information system, it is determined that the current moment is an evaluation opportunity.

[0022] Preferably, the evaluation scale includes Caprini scale, Padua scale, puerperium scale, pregnancy scale, Autar scale, medical bleeding risk assessment scale, surgical bleeding risk assessment scale, and mechanical contraindication assessment scale; the necessary scale items of the Caprini scale include age category options and high-risk disease category options.

[0023] Preferably, the non-necessary scale items of the Caprini scale include: body type / obesity index category options, motor ability category options, special risk category options, trauma risk category options, and surgical operation category options.

[0024] Preferably, obtaining the physical disease risk of the patient based on the final score of the evaluation scale includes:

[0025] If the evaluation scale is the Caprini scale, in response to the final score ≤ 0 points, it is determined that the patient's venous thromboembolism risk is low-risk; in response to 1 point ≤ the final score ≤ 2 points, it is determined that the patient's venous thromboembolism risk is medium-risk; in response to the final score ≥ 2 points, it is determined that the patient's venous thromboembolism risk is high-risk.

[0026] Preferably, obtaining the physical disease risk of the patient based on the final score of the evaluation scale includes: if the evaluation scale is the Padua scale, in response to the final score ≤ 3 points, it is determined that the patient's risk of venous thromboembolism is low-risk; in response to the final score ≥ 4 points, it is determined that the patient's risk of venous thromboembolism is high-risk.

[0027] In a second aspect, the present invention provides a human body disease risk assessment system, including a processor and a memory, where the memory stores computer program instructions, and when the computer program instructions are executed by the processor, the human body disease risk assessment method of the present invention is implemented.

[0028] The beneficial effects of the present invention are as follows: When the method of the present invention evaluates the disease risk of patients using an evaluation scale, it no longer adopts the manual evaluation method, but automatically matches the patient information with the keyword of each item of the evaluation scale, and automatically calculates the final score of each evaluation scale and obtains the disease risk of the patient based on the final score; when using the scale for evaluation, it first matches the key items of the scale, roughly screens out the scales with relatively high corresponding disease risks, and then conducts a more comprehensive evaluation on the scales with relatively high disease risks; therefore, when using the method of the present invention to evaluate the disease risk of patients, the efficiency is relatively high and the accuracy of the evaluation result is relatively high. In addition, by setting multiple evaluation scales, the disease risks of multiple diseases can be evaluated, making the evaluation result more comprehensive. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] By reading the following detailed description with reference to the accompanying drawings, the above and other objects, features, and advantages of the exemplary embodiments of the present invention will become readily understood. In the drawings, several embodiments of the present invention are shown by way of illustration and not limitation, and the same or corresponding reference numerals indicate the same or corresponding parts, wherein:

[0030] Figure 1 is a flowchart of a method for evaluating the disease risk of a human body according to an embodiment of the present invention shown schematically;

[0031] Figure 2 is a schematic diagram of the Caprini scale according to an embodiment of the present invention shown schematically;

[0032] Figure 3 is a schematic diagram of a surgical bleeding risk assessment scale according to an embodiment of the present invention shown schematically;

[0033] Figure 4 is a schematic diagram of the structure of a system for evaluating the disease risk of a human body according to an embodiment of the present invention shown schematically. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0034] Hereinafter, the technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0035] The following will describe the specific embodiments of the present invention in detail with reference to the accompanying drawings.

[0036] Embodiment of the method for evaluating the disease risk of a human body:

[0037] As Figure 1 shown, the method for evaluating the disease risk of a human body of the present invention includes:

[0038] S101. Obtain the patient's information and the keywords of the scale items, specifically: obtain the patient's information and the keywords of the scale items of each assessment scale; the information includes: the patient's BMI index, age, and the word segmentation library of the case record.

[0039] BMI (Body Mass Index) is an indicator for evaluating the body weight status of a person, and the calculation method is weight (kilograms) divided by the square of height (meters). The word segmentation library of the case record refers to a database that segments the content of the patient's case record into words and stores all the segmented words. The case record refers to the continuous record of the patient's condition and the diagnosis and treatment process after the patient's admission record.

[0040] The case record is the most core and dynamic part of the inpatient medical record. It is usually written by the physician directly treating the patient and is reviewed, revised, and signed by the superior physician to ensure the accuracy and integrity of the recorded content. The content of the case record mainly includes: the evolution process of the patient's symptoms; the examination results and result analysis of various physical examinations; the physician's evaluation, guidance, and opinions on the adjustment of the treatment plan for the patient; the diagnosis opinions and treatment plans put forward by the physician through in-depth analysis of the patient's medical record; specific examination and treatment measures for the patient.

[0041] S102. Determine the necessary scale item keywords and non-necessary scale item keywords from all the scale item keywords of the assessment scale.

[0042] The necessary scale item keywords refer to the keywords corresponding to the scale items in the assessment scale that have a greater impact on the evaluation result of the patient's disease risk. Conversely, the non-necessary scale item keywords refer to the keywords corresponding to the scale items in the assessment scale that have a smaller impact on the evaluation result of the patient's disease risk.

[0043] S103. Match the patient's information with the necessary scale item keywords, specifically: match the patient's information with the necessary scale item keywords of each assessment scale to determine whether each necessary scale item keyword exists in the information.

[0044] The process of matching the patient's information with the necessary scale item keywords of each assessment scale is as follows: read the content of the patient's information, and if a certain necessary scale item keyword is read in the content of the patient's information, the matching of the necessary scale item keyword is successful.

[0045] S104. Obtain the first score of the assessment scale, specifically: for each assessment scale, select the necessary scale items corresponding to the necessary scale item keywords existing in the information from the assessment scale, and the first assessment scores corresponding to the necessary scale items, and sum up each first assessment score to obtain the first score;

[0046] S105. Obtain the second score of the assessment scale, specifically: in response to the first score of the assessment scale being less than or equal to the preset first threshold, stop scoring the assessment scale; in response to the first score of the assessment scale being greater than the preset first threshold, select the non-essential scale item keywords of the assessment scale to match with the said materials, and select the non-essential scale items corresponding to the non-essential scale item keywords existing in the materials from the assessment scale, as well as the second assessment scores corresponding to the non-essential scale items, and sum up each second assessment score to obtain the second score.

[0047] In this embodiment, the preset first threshold can be set to 1.

[0048] If the first score of the assessment scale is less than or equal to the preset first threshold, it indicates that the possibility of the patient suffering from the corresponding disease is very small. Therefore, there is no need to evaluate the entire scale; thus improving efficiency.

[0049] S106. Obtain the final score and then obtain the physical disease risk of the patient, specifically: for each assessment scale, add the first score and the second score of the assessment scale to obtain the final score of the assessment scale, and obtain the physical disease risk of the patient based on the final score of the assessment scale.

[0050] In this embodiment, the numerical value of the final score of the assessment scale is positively correlated with the physical disease risk of the patient, that is, the larger the numerical value of the final score, the higher the disease risk.

[0051] In the prior art, the method for evaluating the disease risk of a patient is usually that the doctor first asks about the patient's condition, age and physical condition, and compares the physical condition of the patient obtained by the inquiry with each scale item of the assessment scale. If the physical condition of the patient conforms to a certain scale item, the scale item and its corresponding score are manually selected; finally, the scores of all the selected scale items are summed up to obtain the final score and then the disease risk of the patient is evaluated. However, this method requires manual comparison of the patient's physical condition with each scale item of the assessment scale, resulting in low efficiency of disease risk assessment; and manual assessment relies on reading the patient's materials and the assessment scale with the naked eye, and the error rate is high in the case of reading fatigue, resulting in inaccurate assessment results.

[0052] When the method of the present invention is used to evaluate the disease risk of a patient using an evaluation scale, it no longer uses the manual evaluation method. Instead, it automatically matches the patient's data with the keyword of each item of the evaluation scale, automatically calculates the final score of each evaluation scale, and obtains the disease risk of the patient based on the final score. When using the scale for evaluation, first match the key items of the scale, roughly screen out the scales with relatively high corresponding disease risks, and then conduct a more comprehensive evaluation on the scales with high disease risks. Therefore, when using the method of the present invention to evaluate the disease risk of a patient, the efficiency is relatively high and the accuracy of the evaluation result is relatively high. In addition, by setting multiple evaluation scales, the disease risks of multiple diseases can be evaluated, making the evaluation result more comprehensive.

[0053] In one embodiment, if the first score of the evaluation scale is greater than the preset first threshold and less than the preset second threshold, the number of selected non-essential scale item keywords is half of the total number of non-essential scale item keywords of the corresponding scale.

[0054] In this embodiment, the preset second threshold can be set to 3.

[0055] The first score of the evaluation scale is greater than the preset first threshold and less than the preset second threshold, indicating that the patient has a disease risk but the probability of getting the disease is relatively small. Therefore, only half of the non-essential scale item keywords of the corresponding scale need to be selected for evaluation, thereby improving the evaluation efficiency.

[0056] In one embodiment, if the first score of the evaluation scale is greater than the preset second threshold, the selected non-essential scale item keywords are all non-essential scale item keywords of the corresponding scale.

[0057] The first score of the evaluation scale is greater than the preset second threshold, indicating that the patient has a disease risk and the probability of getting the disease is very high. Therefore, it is necessary to use the evaluation scale to conduct a comprehensive investigation and evaluation of the patient's disease risk, so as to ensure the accuracy of the evaluation result.

[0058] In one embodiment, the method for obtaining the course record word segmentation library includes:

[0059] S201. Obtain the electronic medical record of the patient;

[0060] The electronic medical record can be obtained from the hospital information system.

[0061] S202. Obtain the course record of the patient according to the electronic medical record;

[0062] S203. Perform Chinese word segmentation on the course record to form a course record word segmentation library.

[0063] In one embodiment, the method for determining whether the current moment is an evaluation opportunity is:

[0064] S301. Search for the patient's information in the hospital information system. If the duration from the current moment to the moment when the patient completed the admission procedures is less than a preset first threshold, and there are the completed admission procedures and the electronic medical record admission course record of the patient in the hospital information system, then it is determined that the current moment is at the evaluation opportunity;

[0065] S302. If the duration from the current moment to the moment when the patient completed the admission procedures is greater than a preset second threshold, and there are the pre-discharge procedures and the electronic medical record course record of the patient in the hospital information system, then it is determined that the current moment is at the evaluation opportunity;

[0066] S303. If there is the patient's scheduled surgery time, or the patient's surgery time, or the time of transfer to another department, or the time of change in the disease state in the hospital information system, then it is determined that the current moment is at the evaluation opportunity.

[0067] Under normal circumstances, it is necessary to evaluate the patient's disease risk when the patient is just admitted to the hospital or preparing for discharge, and it is also necessary to evaluate the patient's disease risk before the patient undergoes surgery or when the disease condition changes. This embodiment can automatically determine whether the current moment is at the evaluation opportunity based on the current moment and the information in the hospital information system, thereby avoiding untimely evaluation.

[0068] In one embodiment, the evaluation scale includes the Caprini scale, the Padua scale, the puerperium scale, the pregnancy scale, the Autar scale, the internal medicine bleeding risk assessment scale, the surgery bleeding risk assessment scale, and the mechanical contraindication assessment scale; the necessary scale items of the Caprini scale include age category options and high-risk disease category options.

[0069] As Figure 2 shown, in this embodiment, the age options include: "age 41 - 60 years old", "age 61 - 74 years old", and "age ≥ 75 years old"; the high-risk disease options include: "sepsis", "lower limb edema", "heart failure", "inflammatory bowel disease history", "severe lung disease", "abnormal lung function", "varicose veins of the lower extremities", "malignant tumor", "heparin-induced thrombocytopenia", "previous VTE history", and "stroke".

[0070] The score corresponding to "age 41 - 60 years" is 1 point, the score corresponding to "age 61 - 74 years" is 2 points, the score corresponding to "age ≥ 75 years" is 3 points, and the scores corresponding to "sepsis", "lower limb edema", "heart failure", "history of inflammatory bowel disease", "severe lung disease", "abnormal lung function", and "varicose veins of lower limbs" are 1 point, the score corresponding to "malignant tumor" is 2 points, the scores corresponding to "heparin - induced thrombocytopenia" and "previous history of VTE" are 3 points, and the score corresponding to "stroke" is 5 points.

[0071] In one embodiment, the non - essential scale items of the Caprini scale include: body type / obesity index options, motor ability options, special risk options, trauma risk options, and surgical operation options.

[0072] The body type / obesity index options include: "obesity (body mass index ≥ 25 kg / n 2 )"; the motor ability options include: "bedridden for ≥ 3 days"; the special risk options include: "history of unexplained recurrent miscarriage", "taking contraceptives or estrogen replacement therapy", "pregnancy or puerperium", and "family history of VTE"; the trauma risk options include: "central venous catheterization", "acute spinal cord injury (within 1 month)", and "multiple trauma of hip, pelvis or lower limb fracture (within 1 month)".

[0073] "Obesity" (body mass index ≥ 25 kg / m 2 ) corresponds to a score of 1 point, "bedridden for ≥ 3 days" corresponds to a score of 2 points, the scores corresponding to "history of unexplained recurrent miscarriage", "taking contraceptives or estrogen replacement therapy", and "pregnancy or puerperium" are all 1 point, the score corresponding to "family history of VTE" is 3 points, the scores corresponding to "central venous catheterization" are all 2 points, and the scores corresponding to "acute spinal cord injury (within 1 month)" and "multiple trauma of hip, pelvis or lower limb fracture (within 1 month)" are all 5 points.

[0074] In one embodiment, obtaining the physical disease risk of the patient based on the final score of the evaluation scale includes:

[0075] If the evaluation scale is the Caprini scale, in response to the final score ≤ 0 points, it is determined that the patient's venous thrombosis risk is low - risk; in response to 1 point ≤ final score ≤ 2 points, it is determined that the patient's venous thrombosis risk is medium - risk; in response to the final score ≥ 2 points, it is determined that the patient's venous thrombosis risk is high - risk.

[0076] In one embodiment, if the evaluation scale is a surgical bleeding risk assessment scale or a medical bleeding risk assessment scale, in response to the final score ≥ 1 point, it is determined that the patient's bleeding risk is high - risk.

[0077] In one embodiment, obtaining the physical disease risk of a patient based on the final score of the evaluation scale includes: If the evaluation scale is the Padua scale, in response to the final score ≤ 3 points, it is determined that the patient has a low risk of venous thromboembolism; in response to the final score ≥ 4 points, it is determined that the patient has a high risk of venous thromboembolism.

[0078] As Figure 3 shown, in one embodiment, the scale items of the surgical bleeding risk assessment scale include: basic disease-related factor type options and surgery-related factor type options. Among them, the basic disease-related factor type options include: "bleeding time within 3 months", "active gastric ulcer", "known, untreated bleeding disease", "coagulation dysfunction", "simultaneous use of anticoagulants, antiplatelet therapy or thrombolytic drugs", "4 h before - 12 h after lumbar puncture, epidural or intraspinal anesthesia"; the surgery-related factor type options include: "cardiac surgery", "hepatectomy", "thoracic surgery", "abdominal surgery" and "orthopedic surgery".

[0079] Embodiment of the human body disease risk assessment system:

[0080] The present invention also provides a human body disease risk assessment system. As Figure 4 shown, the human body disease risk assessment system includes a processor and a memory. The memory stores computer program instructions, and when the computer program instructions are executed by the processor, a human body disease risk assessment method in the above embodiments is implemented.

[0081] The human body disease risk assessment system further includes a communication bus, a communication interface and other components well-known to those skilled in the art. Their settings and functions are known in the art, so they will not be described in detail here.

[0082] In the present invention, the aforementioned memory may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. For example, a computer-readable storage medium may be any suitable magnetic storage medium or magneto-optical storage medium, such as, resistive random access memory (RRAM), dynamic random access memory (DRAM), static random access memory (SRAM), enhanced dynamic random access memory (EDRAM), high-bandwidth memory (HBM), hybrid memory cube (HMC), etc., or any other medium that can be used to store the required information and can be accessed by an application, a module, or both. Any such computer storage medium may be part of the device or accessible or connectable to the device. Any application or module described in the present invention may be implemented using computer-readable / executable instructions that can be stored or otherwise held by such a computer-readable medium.

[0083] In the description of this specification, the meanings of "a plurality of" and "several" are at least two, such as two, three, or more, etc., unless otherwise specifically and clearly defined.

[0084] Although this specification has shown and described multiple embodiments of the present invention, it will be apparent to those skilled in the art that such embodiments are provided by way of example only. Those skilled in the art will think of many changes, alterations, and alternative ways without departing from the spirit and scope of the present invention. It should be understood that various alternatives to the embodiments of the present invention described herein may be employed in the practice of the present invention.

Claims

1. A method for assessing the risk of human disease, characterized in that: include: In response to the current moment being an assessment opportunity, the patient's physical condition is assessed, including: Obtaining the patient's information and the keywords of the scale items of each assessment scale; the information includes: the patient's BMI index, age, and medical record word library; Determine the necessary scale item keywords and non-essential scale item keywords from all scale item keywords of the evaluation scale; Matching the patient's data with the necessary scale item keywords of each assessment scale to determine whether each necessary scale item keyword exists in the data; For each evaluation scale, a necessary scale item corresponding to a necessary scale item keyword existing in the data and a first evaluation score corresponding to the necessary scale item are selected from the evaluation scale, and each first evaluation score is summed to obtain a first score; In response to the first score of the evaluation scale being less than or equal to the preset first threshold, the scoring of the evaluation scale is stopped; in response to the first score of the evaluation scale being greater than the preset first threshold, a non-essential scale item keyword of the evaluation scale is selected to match the data, and a non-essential scale item corresponding to the non-essential scale item keyword existing in the data and a second evaluation score corresponding to the non-essential scale item are selected from the evaluation scale, and each second evaluation score is summed to obtain a second score; For each assessment scale, the first score and the second score of the assessment scale are added to obtain a final score of the assessment scale, and the patient's physical disease risk is obtained based on the final score of the assessment scale.

2. The method for assessing human disease risk according to claim 1, wherein: If the first score of the evaluation scale is greater than a preset first threshold and less than a preset second threshold, the number of the selected non-essential scale item keywords is half of the total number of non-essential scale item keywords of the corresponding scale.

3. The method for assessing human disease risk according to claim 1, wherein: If the first score of the evaluation scale is greater than a preset second threshold, the selected non-essential scale item keywords are all non-essential scale item keywords of the corresponding scale.

4. The method for assessing human disease risk according to claim 1, wherein: The method for acquiring the medical record word library comprises: Access to patients’ electronic medical records; Obtaining the patient's medical records based on the electronic medical records; The medical record is subjected to Chinese word segmentation operation, thereby forming a medical record word segmentation library.

5. The method for assessing human disease risk according to claim 1, wherein: The method to determine whether the current moment is at the evaluation time is: Searching the patient's information from the hospital information system, in response to the time between the current moment and the time when the patient completes the admission procedure is less than a preset first threshold, and the hospital information system contains the patient's completed admission procedure and the electronic medical record of the admission process, determining that the current moment is an evaluation opportunity; In response to the time from the current moment to the moment when the patient completes the admission procedure being greater than a preset second threshold, and the hospital information system contains the pre-discharge procedure and electronic medical record of the patient, it is determined that the current moment is an evaluation opportunity; In response to the existence of a patient's scheduled surgery time, a patient's surgery time, a department transfer time, or a disease condition change time in the hospital information system, it is determined that the current moment is an evaluation opportunity.

6. The method for assessing human disease risk according to claim 1, wherein: The assessment scales include the Caprini scale, the Padua scale, the puerperium scale, the pregnancy scale, the Autar scale, the medical bleeding risk assessment scale, the surgical bleeding risk assessment scale and the mechanical contraindication assessment scale; the necessary scale items of the Caprini scale include age options and high-risk disease options.

7. The method for assessing human disease risk according to claim 6, wherein: The non-essential scale items of the Caprini scale include: body shape / obesity index options, athletic ability options, special risk options, trauma risk options and surgical operation options.

8. The method for assessing human disease risk as claimed in claim 1, wherein: The patient's physical disease risk obtained based on the final score of the assessment scale includes: If the assessment scale is the Caprini scale, in response to a final score of ≤0 points, the patient's risk of venous thrombosis is judged to be low risk; in response to a final score of 1 point ≤ ≤2 points, the patient's risk of venous thrombosis is judged to be medium risk; in response to a final score of ≥2 points, the patient's risk of venous thrombosis is judged to be high risk.

9. The method for assessing human disease risk according to any one of claims 1 to 8, characterized in that: The obtaining of the patient's physical disease risk based on the final score of the assessment scale includes: if the assessment scale is the Padua scale, in response to a final score of ≤3 points, the patient's risk of venous thromboembolism is determined to be low risk; in response to a final score of ≥4 points, the patient's risk of venous thromboembolism is determined to be high risk.

10. A human disease risk assessment system, comprising a processor and a memory, wherein the memory stores computer program instructions, characterized in that: When the computer program instructions are executed by the processor, the method for assessing human disease risk according to any one of claims 1 to 9 is implemented.

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