Perioperative period full-process display method based on data aggregation

Abstract

The invention discloses a perioperative period full-process display method based on data aggregation, which relates to the technical field of medical science, and comprises the following steps: performing feature extraction through preoperative comprehensive risk index assessment and in combination with patient medical history and examination data, quantifying preoperative risks, setting key feature acquisition time points in an operation, and dynamically assessing risk deviation. Quantifying the physiological state of the patient and the particularity of doctor operation; a risk quantized value is calculated through complication index analysis after an operation, the postoperative recovery condition is evaluated, a timed batch data pulling mechanism is set, perioperative period data are integrated, the operation process is displayed in real time through a Gantt chart, and the operation process comprises key time nodes before the operation, during the operation and after the operation, doctor operation information and patient state data. A visual and fine management scheme is provided, and the efficiency and safety of perioperative period management are improved.

Description

Technical Field

[0001] The present invention relates to the field of medical technology, and in particular to a perioperative full-process display method based on data aggregation. Background Art

[0002] The perioperative period involves complex medical information from multiple links, which is difficult to process and display efficiently using traditional methods. In order to improve surgical quality and management efficiency, a perioperative full-process display method based on data aggregation has emerged. This method accurately assesses risks, quantifies special situations, realizes data integration and optimization, and provides strong support for medical decision-making.

[0003] Prior art, such as the invention patent application with publication number CN118522395B, discloses a digital operating room medical information processing method based on artificial intelligence, including the following steps: S1, preoperative medical and patient information collection and analysis; S2, surgical information collection and analysis; S3, comprehensive surgical information supervision and analysis; S4, postoperative patient information collection and vital sign monitoring and analysis; S5, control center feedback. The designed digital operating room medical information processing method based on artificial intelligence can effectively collect and analyze the information before and after the patient enters the digital operating room, and can effectively supervise and share the data records of the entire operation in the digital operating room, effectively realize surgical teaching and subsequent retrospective review, ensure that the medical staff and the target patient enter the digital operating room. Complete identity verification and standardization of medical staff operations, and timely complete early warning of illegal operations.

[0004] There are at least the following technical problems with the above scheme: 1. The above scheme lacks a quantitative assessment of the patient's comprehensive preoperative risk index, which makes it impossible to accurately measure the patient's overall risk status before surgery, making it difficult to intuitively judge the degree of surgical risk, which is not conducive to doctors formulating targeted surgical plans and risk response strategies in advance. There is also a lack of assessment of risk deviations during the operation, which makes it impossible for doctors to promptly know the difference between the actual situation of the operation and the preoperative expectations. When encountering sudden high-risk situations, they cannot respond quickly, making it difficult to ensure the smooth progress of the operation and the patient's life safety.

[0005] 2. The above scheme lacks quantitative evaluation of the particularity of doctors' surgical operations, which is not conducive to exploring the doctors' innovation or special coping methods during the operation, and cannot effectively summarize experience and carry out teaching inheritance. In addition, there is a lack of a clear judgment mechanism for whether to display the surgical process and operations, which makes it difficult to screen valuable surgical imaging materials for display and learning, and it is impossible to select surgical clips with special significance in a targeted manner, which is not conducive to the accumulation and sharing of surgical experience.

[0006] 3. The above scheme lacks a quantitative assessment and display mechanism for the risk of postoperative complications, fails to detect high-risk postoperative complications in a timely manner, and makes it difficult to take effective prevention and treatment measures in a timely manner, which is not conducive to the patient's postoperative recovery, thus missing the best time for treatment. In addition, there is a lack of display of the real-time progress of the operation in the form of a Gantt chart, and it is unable to intuitively and clearly present the time nodes of the entire operation, the doctor's key operations, and the dynamic changes in the patient's status, which is not conducive to the medical staff's comprehensive and rapid understanding of the progress of the operation, and it is difficult to carry out effective surgical management and coordination. Summary of the invention

[0007] The purpose of the present invention is to provide a perioperative full-process display method based on data aggregation, which solves the problems existing in the background technology.

[0008] In order to solve the above technical problems, the present invention adopts the following technical solution: The present invention provides a perioperative full-process display method based on data aggregation, including: S1. Before the designated patient undergoes surgery, evaluate the preoperative comprehensive risk index corresponding to the designated patient.

[0009] S2. Based on the preoperative risk situation of the designated patient, evaluate the risk deviation of the designated patient during the operation, and conduct a quantitative evaluation of the specificity of the designated patient's physiological state during the operation and the specificity of the doctor's corresponding surgical operations during the operation.

[0010] S3. After the designated patient’s surgery is completed, the designated patient’s postoperative process demonstration and evaluation will be conducted.

[0011] S4. Set up a scheduled batch data pulling mechanism to pull real-time data from various data sources, and integrate and optimize the perioperative data corresponding to designated patients.

[0012] S5. During the perioperative period of a designated patient, the real-time progress of the surgery is displayed in the form of a Gantt chart based on the aggregated data.

[0013] The beneficial effects of the present invention are: 1. A perioperative full-process display method based on data aggregation provided by an embodiment of the present invention, during the preoperative comprehensive risk assessment process, by collecting patient personal data, medical history data and preoperative examination data, and combining feature extraction and binary coding, the complex preoperative risk assessment data is converted into a quantitative preoperative comprehensive risk index, which is beneficial for doctors to quickly and comprehensively understand the patient's preoperative risk status, thereby formulating a more scientific and personalized surgical plan, and improving the accuracy and efficiency of preoperative preparation.

[0014] 2. During the operation, the embodiment of the present invention sets the time point for collecting key features, collects and analyzes the key feature data during the operation in real time, calculates the patient's intraoperative comprehensive risk assessment index, and calculates the difference between it and the preoperative comprehensive risk index to obtain the risk deviation value, which is beneficial for real-time monitoring of changes in surgical risks, helping doctors to adjust surgical strategies in time when risks are abnormal, and improving the safety and success rate of the operation.

[0015] 3. In the process of quantitatively evaluating the particularity of the patient's physiological state during surgery, the embodiment of the present invention obtains historical data similar to the patient's basic information through the database, and calculates the quantitative value of the particularity of the physiological state, which is conducive to identifying individual differences in patients during surgery, assisting doctors to make accurate physiological support decisions, and meeting the personalized needs of patients. In the process of quantitatively evaluating the particularity of the doctor's surgical operation, quantitative analysis is performed in combination with preset standard operation information to obtain the quantitative value of the particularity of each surgical operation, which is conducive to exploring the doctor's unique surgical skills and innovative operation methods, and providing data support for surgical teaching and medical research.

[0016] 5. In the postoperative process display and evaluation process, the embodiment of the present invention collects various postoperative complication indicators of patients, and uses data aggregation methods to calculate the complication risk quantification value, and displays high-risk complications and related indicators, which is conducive to early identification of postoperative complication risks, helping doctors to formulate timely and effective intervention measures, and reducing the incidence and harm of postoperative complications.

[0017] 6. In the process of data integration and optimization, the embodiment of the present invention integrates, verifies and corrects the data to be displayed in the perioperative period through a timed batch data pulling mechanism to ensure the integrity and accuracy of the data, which is conducive to improving the reliability of data analysis and display, and providing high-quality data support for surgical decision-making and postoperative summary. In the process of real-time surgical progress display, the Gantt chart is used to integrate the pre-operative, intra-operative and post-operative time nodes, the doctor's key operation information and the patient's status data, and the surgical progress is dynamically presented in the form of a bar chart, which is conducive to intuitively grasping the key time points and dynamic status of the surgery, improving the efficiency of surgical coordination and management, and facilitating postoperative review and analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1 It is a schematic flow chart of the implementation steps of the present invention. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] See also Figure 1 As shown, the present invention provides a perioperative full-process display method based on data aggregation, the method comprising: S1, before the designated patient undergoes surgery, evaluating the preoperative comprehensive risk index corresponding to the designated patient.

[0022] In a specific embodiment, the preoperative comprehensive risk index corresponding to the designated patient is evaluated, and the specific process is as follows: when the designated patient undergoes a preoperative examination before surgery, the preoperative risk assessment data corresponding to the designated patient is collected, and the preoperative risk assessment data includes the patient's personal data, medical history data, and preoperative examination data, so as to perform feature extraction on the preoperative risk assessment data corresponding to the designated patient to obtain various feature data, and convert the data that cannot be expressed by specific numerical values ​​into numerical form through binary coding.

[0023] By calculation formula: The preoperative comprehensive risk index R corresponding to the specified patient is obtained, where i represents the index of each feature data being calculated, i=1, 2, ..., n, j represents the index of each feature data in the standardization process, j=1, 2, ..., n, n represents the total number of feature data, fi represents the value corresponding to the i-th feature data being calculated, fj represents the value corresponding to the j-th feature data in the standardization process, e represents a natural constant, μ j is the value corresponding to the jth historical feature data in the standardization process, r(f 1 , f 2 ,......,f n ) is represented by the variance corresponding to each feature data, and λ is the set correction factor.

[0024] It should be noted that the patient's personal data includes but is not limited to the patient's age, gender, height, weight and body mass index; medical history data includes but is not limited to whether the patient has hypertension, diabetes, heart disease, chronic respiratory disease and abnormal renal function; preoperative examination data includes but is not limited to the patient's blood routine, urine routine, liver and kidney function and coagulation function. An example of converting binary code into numerical form is: encoding "male" as 1, "female" as 0, and encoding "smoking history" as 1.

[0025] "No smoking history" is coded as 0. If the patient has a certain medical history, such as "diabetes", it is coded as 1, otherwise it is 0. The correction factor λ is set based on the experience of clinical experts, statistical historical patient information, and the importance of each characteristic data.

[0026] It should also be noted that r(f 1 , f 2 ,......,f n ) means: Assuming that there are feature data f1=5, f2=7 and f3=9, the average value is obtained by mean calculation The calculation process of the square of the deviation is: and Then calculate the variance:

[0027] S2. Based on the preoperative risk situation of the designated patient, evaluate the risk deviation of the designated patient during the operation, and conduct a quantitative evaluation of the specificity of the designated patient's physiological state during the operation and the specificity of the doctor's corresponding surgical operations during the operation.

[0028] In a specific embodiment, the risk deviation corresponding to the designated patient during the operation is evaluated, and the specific process is as follows: during the operation, each key feature collection time point is set, and the value of each key feature corresponding to each feature data collection time point is collected, so as to calculate the comprehensive risk assessment index of the designated patient during the operation, and the preoperative comprehensive risk index corresponding to the designated patient is subtracted from the comprehensive risk assessment index of the designated patient during the operation to obtain a risk deviation value, recorded as ΔR. If ΔR>0, it indicates that the surgical process corresponding to the designated patient is in line with expectations. If ΔR=0, the designated patient has not encountered any risk situation beyond the preoperative evaluation range during the operation. If ΔR<0, it indicates that the designated patient has encountered a risk situation beyond the preoperative evaluation range during the operation.

[0029] It should be noted that the key characteristics include physiological characteristics, laboratory indicators and surgical characteristics. Physiological characteristics include heart rate, blood pressure, blood oxygen saturation and body temperature, laboratory indicators include arterial blood gas analysis, blood sugar level and lactate value, and surgical characteristics include depth of anesthesia and amount of bleeding. Physiological characteristics are automatically collected and recorded by real-time recording devices such as multi-parameter monitors. Laboratory indicators are collected regularly by rapid detection equipment such as intraoperative POCT. Surgical characteristics record the doctor's operation time point, anesthesia data and surgical process information through the intraoperative information system. The calculation process of the comprehensive risk assessment index is the same as the calculation process of the preoperative comprehensive risk index, which will not be elaborated here.

[0030] In a specific embodiment, the specific quantitative evaluation of the physiological state of the designated patient during the operation is performed as follows: the ecological state parameters of each historical patient during the operation with the same basic information as the designated patient are obtained from the database, and the average value of each ecological state parameter is obtained by mean calculation, which is recorded as y represents the number of each ecological state parameter, y = 1, 2, ..., y', y' is the total number of types of ecological state parameters, y' is a positive integer, and the corresponding physiological state parameters of the designated patient during the operation are collected and recorded as Then through the calculation formula:

[0031] Get the specific quantitative value S of the physiological state of the designated patient during the operation, It is represented by the value of the yth ecological state parameter corresponding to the qth historical patient, q represents the number of each historical patient, q=1, 2,...,q′, q′ is the total number of historical patients involved in the calculation, and q′ is a positive integer.

[0032] It should be noted that the basic information includes the type of surgery, age range and severity of the disease, and the ecological status parameters include but are not limited to cardiovascular system parameters, respiratory system parameters, metabolic and endocrine system parameters, cardiovascular system parameters such as heart rate, blood pressure and cardiac output, respiratory system parameters such as blood oxygen saturation, respiratory rate and arterial oxygen partial pressure, metabolic and endocrine system parameters such as blood sugar level and blood lactate value.

[0033] In a specific embodiment, the specificity of each surgical operation performed by the doctor during the operation is quantitatively evaluated as follows: when the doctor performs surgery on a designated patient, the value of each operation information corresponding to each operation at each time point during the operation is obtained through a real-time recording device, and the average value of each operation information corresponding to each operation during the operation is obtained through mean calculation, which is recorded as h is the number corresponding to each surgical operation, and the value of h is a positive integer greater than 2. d is the number corresponding to the operation information, d=1, 2, ..., d', d' is a positive integer greater than 2, and d' represents the total number of types of operation information, and then calculated by the formula:

[0034] Get the specific quantitative value Q of the doctor's h-th surgical operation during the operation h , in order to obtain the specific quantitative value of each surgical operation performed by the doctor during the operation, where is the preset standard value of the d-th operation information corresponding to the h-th surgical operation;

[0035] According to the specific quantitative values ​​of the physiological state of the designated patient during the operation and the specific quantitative values ​​of the surgical operations performed by the doctor during the operation, it is evaluated whether the surgical process of the designated patient and the surgical operations performed by the doctor need to be displayed.

[0036] It should be noted that, for example, a doctor uses a surgical robot to perform a tumor resection operation in a liver surgery. Operation one is tumor resection and operation two is intraoperative hemostasis. The three-dimensional coordinates of the tumor target point, the movement trajectory of the robot arm and the positioning error, such as the offset distance from the robot to the target position, are recorded. The offsets corresponding to operation one at the first time point, the second time point and the third time point are 1.5 mm, 1.3 mm and 1.7 mm respectively, and the corresponding cutting forces are 12.4 N, 12.3 N and 12.5 N. Through mean calculation, the values ​​of the offset operation information and the cutting force operation information corresponding to operation one are obtained to be 1.5 mm and 12.4 N, respectively. The specificity quantification value corresponding to operation one is calculated through the calculation formula corresponding to the specificity quantification value.

[0037] In a specific embodiment, the evaluation of whether the surgical procedure of a designated patient and the surgical operation corresponding to the doctor need to be displayed is as follows: the specific quantitative value of the specificity of the physiological state of the designated patient during the surgery and the specific quantitative value of the surgical operation corresponding to the doctor during the surgery are compared with the set standard specific quantitative value of the physiological state and the standard specific quantitative value of the surgical operation respectively; if the specific quantitative value of the physiological state of the designated patient during the surgery is greater than or equal to the standard specific quantitative value of the physiological state, the image and video of the surgical procedure of the designated patient are displayed; if the specific quantitative value of the surgical operation performed by the doctor during the surgery is greater than or equal to the standard specific quantitative value of the surgical operation, the operation video and image corresponding to the surgical operation are displayed.

[0038] It should be noted that, assuming that when a surgeon completes a surgical operation such as vascular suturing, the specificity quantification value of the operation is 90, and the preset standard specificity quantification value of the operation is 85, it means that the doctor's surgical operation meets the display standards, so the key video clips and images of the surgical operation will be extracted and displayed, such as the details of the suture and the changes in mechanical parameters.

[0039] It should also be noted that the standard specificity quantitative values ​​of the preset physiological state and the standard specificity quantitative values ​​of each surgical operation are set by statistical analysis of historical surgical data, selecting the distribution percentiles of the corresponding quantitative values ​​and making comprehensive adjustments based on expert opinions.

[0040] During the operation, the embodiment of the present invention sets the key feature collection time point, collects and analyzes the key feature data during the operation in real time, calculates the patient's intraoperative comprehensive risk assessment index, and makes a difference calculation with the preoperative comprehensive risk index to obtain the risk deviation value, which is beneficial to real-time monitoring of changes in surgical risks, helping doctors to adjust surgical strategies in time when risks are abnormal, and improving the safety and success rate of the operation.

[0041] S3. After the designated patient’s surgery is completed, the designated patient’s postoperative process demonstration and evaluation will be conducted.

[0042] In a specific embodiment, the postoperative process display evaluation of the designated patient is performed as follows: after the designated patient's surgery is completed, the complication indicators corresponding to various postoperative complications of the designated patient are collected, and the risk quantification values ​​corresponding to various complications of the designated patient's postoperative complication indicators are calculated by a data aggregation method, and the various risk quantification values ​​obtained are compared with the preset standard complication risk thresholds. If the risk quantification value corresponding to a certain type of complication is greater than or equal to the standard complication risk quantification threshold of that type, the high-risk complications and complication indicators corresponding to the postoperative period of the designated patient will be displayed.

[0043] It should be noted that the complication indicators corresponding to various types of postoperative complications are obtained through multi-parameter monitoring equipment and laboratory test results, and the collection is completed in combination with the indicator information recorded in the patient's electronic medical record. The types of complications include but are not limited to infectious complications, cardiovascular complications and respiratory complications. The complication indicators corresponding to infectious complications include but are not limited to white blood cell count, body temperature and C-reactive protein level, the complication indicators corresponding to cardiovascular complications include but are not limited to heart rate, blood pressure and myocardial injury markers, and the complication indicators corresponding to respiratory complications include but are not limited to oxygen saturation, respiratory rate and arterial blood gas analysis results.

[0044] In a specific embodiment, the risk quantification value corresponding to each type of complication is calculated, and the specific process is as follows: the calculation formula of the risk quantification value ξg of the g-th type of complication is: Where g is the number of each complication, the value of g is a positive integer greater than 2, v is the number of the complication index, v = 1, 2, ..., v', v' is the total number of complication indexes, v' is a positive integer, It is expressed as the quantitative value corresponding to the vth complication index of the gth complication. Expressed as the baseline value corresponding to the vth complication indicator for the gth type of complication.

[0045] It should be noted that historical patient data that matches the basic information of the designated patient is screened from the database, and the historical patient data is calculated by averaging to obtain the baseline values ​​of the complication indicators corresponding to each type of complication.

[0046] In the process of quantitatively evaluating the particularity of the patient's physiological state during surgery, the embodiment of the present invention obtains historical data similar to the patient's basic information through the database, and calculates the quantitative value of the particularity of the physiological state, which is conducive to identifying individual differences in patients during surgery, assisting doctors to make accurate physiological support decisions, and meeting the personalized needs of patients. In the process of quantitatively evaluating the particularity of the doctor's surgical operation, quantitative analysis is performed in combination with preset standard operation information to obtain the quantitative value of the particularity of each surgical operation, which is conducive to exploring the doctor's unique surgical skills and innovative operation methods, and providing data support for surgical teaching and medical research.

[0047] S4. Set up a scheduled batch data pulling mechanism to pull real-time data from various data sources, and integrate and optimize the perioperative data corresponding to designated patients.

[0048] It should be noted that each data source refers to the data generated by a specified patient in the preoperative, intraoperative and postoperative stages, such as the risk quantification values ​​corresponding to various complications.

[0049] In a specific embodiment, the data integration and optimization corresponding to the perioperative period of the designated patient is performed as follows: according to the perioperative process display requirements corresponding to the designated patient, a timed batch data pulling mechanism is set to integrate and verify the data to be displayed generated during the perioperative period. When the designated patient generates data to be displayed during the perioperative period, the data to be displayed is integrated, and the timed batch data pulling mechanism is triggered to verify the integrated data. When the integrated data passes the verification, the data display operation is performed. When the integrated data fails the verification, the integrated data is compared and corrected with the original data until it passes the verification.

[0050] It should be noted that the application examples of data integration and optimization for the perioperative period corresponding to the designated patient are as follows: For example, in a laparoscopic partial liver resection operation, a timed batch data pulling mechanism is set according to the perioperative process display requirements of the designated patient. In the preoperative stage, risk assessment data is extracted from the patient's medical history and preoperative examination data, and the preoperative comprehensive risk index is calculated to be 6.8, which is close to the average value of 6.5 for cases with the same basic information. The integrated data passes the verification and is displayed as controllable preoperative risk. In the intraoperative stage, the real-time monitoring equipment collects physiological state parameters such as blood oxygen saturation, blood pressure and heart rate of the designated patient, and records the quantitative value of the specificity of the corresponding surgical operation by the doctor. For example, the quantitative value of the specificity of the bile duct ligation operation is 7.9, which is higher than the standard value of 7.0, indicating that the operation is difficult. After the timed batch pulling mechanism integrates the data, it is detected that the blood pressure of the designated patient drops briefly during the ligation operation, but recovers quickly. The quantitative value of the specificity of the physiological state is 6.7 at this time point, which is lower than the risk threshold of 7.0. The integrated data passes the verification and is dynamically displayed in the Gantt chart. The postoperative stage is similar to the preoperative and intraoperative stages, and will not be elaborated on here.

[0051] During the postoperative process display and evaluation process, the embodiment of the present invention collects various postoperative complication indicators of patients and uses data aggregation methods to calculate the complication risk quantification value, and displays high-risk complications and related indicators, which is conducive to early identification of postoperative complication risks, helping doctors to formulate timely and effective intervention measures, and reducing the incidence and harm of postoperative complications.

[0052] S5. During the perioperative period of a designated patient, the real-time progress of the surgery is displayed in the form of a Gantt chart based on the aggregated data.

[0053] In a specific embodiment, the real-time progress of the operation is displayed in the form of a Gantt chart, and the specific process is as follows: the Gantt chart integrates the corresponding time nodes before, during and after the operation, the doctor's key operation information and the status data of the designated patient, and dynamically presents the operation progress in the form of a bar chart. The start time, end time and duration before, during and after the operation are intuitively marked on the timeline with color-coded bars, and the doctor's key operation information and the status update of the designated patient are displayed through marking symbols and labels.

[0054] It should be noted that the Gantt chart is a tool that displays tasks or processes in the form of a bar chart. It is used to intuitively represent the time nodes, duration and progress of the tasks, and combines labels and marking symbols to display key operation information and status updates. The application example of displaying the real-time progress of the operation in the form of a Gantt chart is as follows: For example, in a coronary artery bypass surgery, the risk assessment results of the preoperative stage show that the preoperative comprehensive risk index of the designated patient is 7.5, which is higher than the average. The preoperative stage is marked with yellow bars on the Gantt chart, showing the time period from the preoperative examination to the completion of the surgical preparation, with a label prompt of the risk index. Entering the intraoperative stage, the green bars of the Gantt chart show the operation The time nodes of each surgical operation from thoracotomy to vascular anastomosis are shown. The quantitative value of the doctor's specificity of vascular anastomosis operation is 8.2, which is higher than the standard value of 7.0. It is marked with symbols and labels, and the real-time video of the anastomosis process is displayed. At the same time, the quantitative value of the specificity of the physiological state of the designated patient suddenly increases to 6.5 during the anastomosis stage. Combined with parameters such as heart rate, blood pressure and oxygenation index, the risk information of transient hypotension in the designated patient is marked, and an early warning is issued. The Gantt chart of the postoperative stage is marked with blue bars, showing that the patient's postoperative complication index risk quantitative value is 3.8, which is lower than the standard complication risk threshold of 5.0, indicating that the postoperative recovery is good and there is no need to specially display additional risks.

[0055] In the process of data integration and optimization, the embodiment of the present invention integrates, verifies and corrects the data to be displayed in the perioperative period through a timed batch data pulling mechanism, ensures the integrity and accuracy of the data, is conducive to improving the reliability of data analysis and display, and provides high-quality data support for surgical decision-making and postoperative summary. In the process of real-time surgical progress display, the pre-operative, intraoperative and postoperative time nodes, doctor's key operation information and patient status data are integrated through the Gantt chart, and the surgical progress is dynamically presented in the form of a bar chart, which is conducive to intuitively grasping the key time points and dynamic status of the surgery, improving the efficiency of surgical coordination and management, and facilitating postoperative review and analysis.

[0056] The database is used to store the ecological status parameters of each historical patient during the operation process whose basic information is the same as that of the designated patient, and also stores the historical patient data that matches the basic information of the designated patient.

[0057] An embodiment of the present invention provides a perioperative full-process display method based on data aggregation. During the preoperative comprehensive risk assessment process, by collecting patient personal data, medical history data and preoperative examination data, and combining feature extraction and binary coding, the complex preoperative risk assessment data is converted into a quantitative preoperative comprehensive risk index, which is beneficial for doctors to quickly and comprehensively understand the patient's preoperative risk status, thereby formulating a more scientific and personalized surgical plan and improving the accuracy and efficiency of preoperative preparation.

[0058] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they shall all fall within the protection scope of the present invention.

Claims

1. A method for displaying the entire perioperative process based on data aggregation, characterized in that: include: S1. Before the designated patient undergoes surgery, assess the corresponding preoperative comprehensive risk index of the designated patient; S2. Based on the preoperative risk conditions of the designated patient, evaluate the risk deviation of the designated patient during the operation, and conduct a quantitative evaluation of the specificity of the designated patient's physiological state during the operation and the specificity of the doctor's corresponding surgical operations during the operation; S3. After the designated patient's surgery is completed, conduct a postoperative process demonstration and evaluation of the designated patient; S4. Set up a scheduled batch data pulling mechanism to pull real-time data from various data sources, and integrate and optimize the perioperative data corresponding to designated patients. S5. During the perioperative period of a designated patient, the real-time progress of the surgery is displayed in the form of a Gantt chart based on the aggregated data.

2. According to claim 1, a method for displaying the entire perioperative process based on data aggregation is characterized in that: The specific process of evaluating the preoperative comprehensive risk index corresponding to the designated patient is as follows: When the designated patient undergoes a preoperative examination before surgery, the preoperative risk assessment data corresponding to the designated patient is collected, and the preoperative risk assessment data includes the patient's personal data, medical history data, and preoperative examination data, so as to extract features from the preoperative risk assessment data corresponding to the designated patient to obtain various feature data, and convert the data that cannot be expressed in specific numerical values ​​into numerical form through binary coding; By calculation formula: The preoperative comprehensive risk index R corresponding to the specified patient is obtained, where i represents the index of each feature data being calculated, i = 1, 2, ..., n, j represents the index in the standardization process of each feature data, j = 1, 2, ..., n, n represents the total number of feature data, and f i It is represented by the value corresponding to the i-th feature data being calculated, f j It is represented as the value corresponding to the jth feature data in the standardization process, e is represented as a natural constant, μ j is the value corresponding to the jth historical feature data in the standardization process, r(f1, f2, ..., f n ) is represented by the variance corresponding to each feature data, and λ is the set correction factor.

3. A perioperative full-process display method based on data aggregation according to claim 2, characterized in that: The specific process of evaluating the risk deviation of a designated patient during surgery is as follows: During the operation, a time point for collecting key features is set, and the value of each key feature corresponding to each feature data collection time point is collected, so as to calculate the comprehensive risk assessment index of the designated patient during the operation, and the preoperative comprehensive risk index corresponding to the designated patient is subtracted from the comprehensive risk assessment index of the designated patient during the operation to obtain the risk deviation value, recorded as ΔR. If ΔR>0, it indicates that the surgical process corresponding to the designated patient is in line with expectations. If ΔR=0, the designated patient has not encountered any risk situation beyond the preoperative assessment range during the operation. If ΔR<0, it indicates that the designated patient has encountered risk situations beyond the preoperative assessment range during the operation.

4. A perioperative full-process display method based on data aggregation according to claim 3, characterized in that: The specific quantitative evaluation of the physiological state of a designated patient during surgery is as follows: The ecological state parameters of each historical patient with the same basic information as the designated patient during the operation are obtained from the database, and the average value of each ecological state parameter is obtained by mean calculation, which is recorded as y represents the number of each ecological state parameter, y = 1, 2, ..., y', y' is the total number of types of ecological state parameters, y' is a positive integer, and the corresponding physiological state parameters of the designated patient during the operation are collected and recorded as Then through the calculation formula: Get the specific quantitative value S of the physiological state of the designated patient during the operation, It is represented by the value of the yth ecological state parameter corresponding to the qth historical patient, q represents the number of each historical patient, q=1, 2,...,q′, q′ is the total number of historical patients involved in the calculation, and q′ is a positive integer.

5. A perioperative full-process display method based on data aggregation according to claim 4, characterized in that: During the operation, the doctor will quantitatively evaluate the specificity of each surgical operation. The specific process is as follows: When the doctor performs surgery on a designated patient, the real-time recording device is used to obtain the values ​​of the corresponding operation information at each time point during the doctor's operation. The average value of the corresponding operation information during the doctor's operation is obtained by mean calculation, which is recorded as h is the number corresponding to each surgical operation, and the value of h is a positive integer greater than 2. d is the number corresponding to the operation information, d=1, 2, ..., d', d' is a positive integer greater than 2, and d' represents the total number of types of operation information, and then calculated by the formula: Get the specific quantitative value Q of the doctor's h-th surgical operation during the operation h , in order to obtain the specific quantitative value of each surgical operation performed by the doctor during the operation, where is the preset standard value of the d-th operation information corresponding to the h-th surgical operation; According to the specific quantitative values ​​of the physiological state of the designated patient during the operation and the specific quantitative values ​​of the surgical operations performed by the doctor during the operation, it is evaluated whether the surgical process of the designated patient and the surgical operations performed by the doctor need to be displayed.

6. A method for displaying the entire perioperative process based on data aggregation according to claim 5, characterized in that: The specific process of evaluating whether the surgical process of the designated patient and the corresponding surgical operation of the doctor need to be displayed is as follows: The specificity quantification value of the designated patient's physiological state during the operation and the specificity quantification value of each surgical operation performed by the doctor during the operation are compared with the set standard specificity quantification value of the physiological state and the standard specificity quantification value of each surgical operation respectively; if the specificity quantification value of the designated patient's physiological state during the operation is greater than or equal to the standard specificity quantification value of the physiological state, the images and videos of the surgical process of the designated patient will be displayed; if the specificity quantification value of the doctor's surgical operation during the operation is greater than or equal to the standard specificity quantification value of the surgical operation, the operation video and images corresponding to the surgical operation will be displayed.

7. A method for displaying the entire perioperative process based on data aggregation according to claim 6, characterized in that: The specific process of performing the postoperative process demonstration evaluation for the designated patient is as follows: After the operation is completed for the designated patient, the complication indicators corresponding to various postoperative complications of the designated patient are collected, and the risk quantification values ​​corresponding to various complications are calculated using the data aggregation method. The various risk quantification values ​​obtained are compared with the preset standard complication risk thresholds. If the risk quantification value corresponding to a certain type of complication is greater than or equal to the standard complication risk quantification threshold of that type, the high-risk complications and complication indicators corresponding to the designated patient after the operation will be displayed.

8. A method for displaying the entire perioperative process based on data aggregation according to claim 7, characterized in that: The specific process of calculating the risk quantification value corresponding to each type of complication is as follows: Quantified risk value ξ for category g complications g The calculation formula is: Where g is the number of each complication, the value of g is a positive integer greater than 2, v is the number of the complication index, v = 1, 2, ..., v', v' is the total number of complication indexes, v' is a positive integer, It is expressed as the quantitative value corresponding to the vth complication index of the gth complication. Expressed as the baseline value corresponding to the vth complication indicator for the gth type of complication.

9. A perioperative full-process display method based on data aggregation according to claim 8, characterized in that: The specific process of integrating and optimizing the perioperative data of a designated patient is as follows: According to the perioperative process display requirements corresponding to the designated patient, a timed batch data pulling mechanism is set up to integrate and verify the data to be displayed during the perioperative period. When the designated patient generates data to be displayed during the perioperative period, the data to be displayed is integrated, and the timed batch data pulling mechanism is triggered to verify the integrated data. When the integrated data passes the verification, the data display operation is performed. When the integrated data fails the verification, the integrated data is compared and corrected with the original data until it passes the verification.

10. A perioperative full-process display method based on data aggregation according to claim 9, characterized in that: The real-time progress of the surgery is displayed in the form of a Gantt chart. The specific process is as follows: The Gantt chart integrates the corresponding time nodes before, during and after surgery, the doctor's key operation information and the status data of the designated patient, and dynamically presents the surgical progress in the form of a bar chart. The start time, end time and duration before, during and after surgery are intuitively marked on the timeline with color-coded bars, and the doctor's key operation information and the status update of the designated patient are displayed through marking symbols and labels.

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