Ophthalmologic operation safety checking system

Abstract

The invention relates to the technical field of medical safety, and discloses an ophthalmologic operation safety checking system. According to the system, comprehensive information of a patient and operation related data are collected through the input module, the data processing module carries out denoising processing on the information and stores the information in the database, the accuracy and reliability of the data are ensured, and the risk assessment module carries out comprehensive analysis based on the data in the system database. Key indexes such as preoperative health score, operation complexity, bleeding amount estimation, postoperative complication probability, anesthesia risk and equipment reliability are objectively calculated, the safety risk value of the ophthalmologic operation is comprehensively evaluated and compared with a preset safety threshold value, potential safety risks are recognized in time, and the safety risk value of the ophthalmologic operation is comprehensively evaluated. The systematic method not only improves the scientificity and accuracy of risk assessment and reduces the omission of important risk factors, but also provides an electronic safety check report for a medical team, and promotes doctor-patient communication and decision transparency, thereby improving the safety and success rate of an operation.

Description

Technical Field

[0001] The present invention relates to the technical field of medical safety, and specifically to an ophthalmic surgery safety verification system. Background Art

[0002] Ophthalmic surgery plays a crucial role in modern medicine. With the increase in the aging population and the number of patients with visual impairments, the demand for ophthalmic surgery is continuously rising. Common ophthalmic surgeries include cataract surgery, glaucoma surgery, and refractive surgery, etc. These surgeries can not only significantly improve the visual quality of patients, but also enhance the quality of life of patients. However, the complexity and risk of surgery cannot be ignored. Comprehensive pre-operative assessment and risk management are crucial for ensuring the success of surgery.

[0003] Traditional surgical risk assessments often rely on doctors' experience and subjective judgments, lacking systematicness and scientificity, which may lead to the omission of important risk factors. Summary of the Invention

[0004] (I) Technical Problems to be Solved Aiming at the deficiencies of the prior art, the present invention provides an ophthalmic surgery safety verification system. The input module collects comprehensive information of patients and surgery-related data. The data processing module denoises the information and stores it in the database to ensure the accuracy and reliability of the data. The risk assessment module comprehensively analyzes the data in the system database, objectively calculates key indicators such as pre-operative health score, surgical complexity, estimated blood loss, probability of postoperative complications, anesthesia risk, and equipment reliability, comprehensively evaluates the safety risk value of ophthalmic surgery, and compares it with a preset safety threshold to timely identify potential safety risks. This systematic method not only improves the scientificity and accuracy of risk assessment, reduces the omission of important risk factors, but also provides an electronic safety verification report for the medical team, promotes doctor-patient communication and decision-making transparency, thereby enhancing the safety and success rate of surgery, and solving the above problems.

[0005] (II) Technical Solutions To achieve the above object, the present invention provides the following technical solution: an ophthalmic surgery safety verification system, including an input module, a data processing module, a risk assessment module, and a report generation module; The input module is responsible for collecting basic information of patients and surgery-related data, including patient name, age, gender, medical history, pre-operative intraocular pressure data, surgery type, and patient imaging examination reports; The data processing module denoises the basic information of patients and surgery-related data, and stores it in the system database after data processing; The risk assessment module retrieves the patient data from the system database, performs data analysis, calculates the preoperative health score value of the patient, the surgical complexity coefficient, the estimated value of intraoperative blood loss, the probability of postoperative complications, the anesthesia risk assessment value, the equipment reliability score, and the medical team experience value, and comprehensively calculates the ophthalmic surgery safety risk value. The ophthalmic surgery safety risk value is compared with the preset surgical risk safety threshold. When the ophthalmic surgery safety risk value exceeds the surgical risk safety threshold, it is marked as having a safety risk. When the ophthalmic surgery safety risk value is lower than the surgical risk safety threshold, it is marked as surgical safety; The report generation module obtains the surgical risk information from the risk assessment module, fills the surgical risk information into the report template to generate an electronic ophthalmic surgery safety verification report, and sends it to the medical team members.

[0006] Preferably, the formula for data denoising is as follows: ; In the formula, represents the data pixel value after denoising, represents the pixel value of the original data at the position ; represents the normalization factor, and this value is equal to the number of neighboring pixels, represents the pixel and its surrounding neighborhood.

[0007] Preferably, the calculation formula for the patient's preoperative health score value is as follows: ; In the formula, represents the patient's preoperative health score value, represents the patient's recent physical examination results, represents the patient's medical history score, represents the score indicating whether the patient has imaging abnormalities, , , represent the weights of their respective indicators, which are obtained through the evaluation of clinical medical experts.

[0008] Preferably, the calculation formula for the surgical complexity coefficient is as follows: ; In the formula, represents the surgical complexity coefficient, represents the surgical type index, represents the patient's basic health status, represents the possible technical difficulty score during the operation, , , Indicates the weight coefficients of various factors, which are assigned by medical surgery experts through evaluation.

[0009] Preferably, the formula for calculating the estimated intraoperative blood loss is as follows: ; In the formula, represents the estimated intraoperative blood loss, represents the estimated blood loss related to the surgical difficulty, represents the patient's blood parameters, represents the equipment reliability score, , , Indicates the weight coefficients, which are obtained through evaluation by ophthalmic surgery experts.

[0010] Preferably, the formula for calculating the probability of postoperative complications is as follows: ; In the formula, represents the probability of postoperative complications, represents the baseline probability of complications, represents the influence coefficient of surgical complexity on the probability of complications, represents the influence coefficient of preoperative health status on the probability of complications.

[0011] Preferably, the formula for calculating the anesthesia risk assessment value is as follows: ; In the formula, represents the anesthesia risk assessment value, represents the score obtained due to the patient having a basic medical history, represents the score given by local anesthesia, , , Indicates the weight coefficients of various factors, which are obtained through evaluation by experts in the field of anesthesia.

[0012] Preferably, the formula for calculating the equipment reliability score is as follows: ; In the formula, represents the equipment reliability score, represents the equipment maintenance frequency, represents the historical failure rate, , Indicates the weight coefficients of various factors, which are obtained through evaluation by experts in the medical device field.

[0013] Preferably, the formula for calculating the medical team experience value is as follows: ; In the formula, represents the experience value of the medical team, represents the total number of successful surgeries of the medical team members, represents the average years of experience of the medical team members, represents the number of professional training sessions for ophthalmic surgeries, , , represent the weight coefficients of each factor, which are obtained through the evaluation of experts in the medical field.

[0014] Preferably, the calculation formula for the safety risk value of the ophthalmic surgery is as follows: ; In the formula, represents the safety risk value of the ophthalmic surgery.

[0015] Compared with the prior art, the present invention provides an ophthalmic surgery safety verification system, which has the following beneficial effects: The present invention collects the comprehensive information of the patient and the surgery-related data through the input module, and the data processing module denoises the information and stores it in the database to ensure the accuracy and reliability of the data. The risk assessment module then conducts a comprehensive analysis based on the data in the system database, objectively calculates key indicators such as the preoperative health score, surgical complexity, estimated blood loss, probability of postoperative complications, anesthesia risk, and equipment reliability, comprehensively evaluates the safety risk value of the ophthalmic surgery, and compares it with the preset safety threshold to timely identify potential safety risks. This systematic method not only improves the scientificity and accuracy of risk assessment, reduces the omission of important risk factors, but also provides an electronic safety verification report for the medical team, promotes doctor-patient communication and decision-making transparency, thereby enhancing the safety and success rate of the surgery. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 is a schematic diagram of the system flow of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0017] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0018] In view of the problem that traditional surgical risk assessments often rely on doctors' experience and subjective judgments, lack systematicness and scientificity, and may lead to the omission of important risk factors, an ophthalmic surgery safety verification system is proposed. Please refer to Figure 1 , which includes an input module, a data processing module, a risk assessment module, and a report generation module; The input module in the ophthalmic surgery safety verification system is responsible for comprehensively collecting the basic information of the patient and surgery-related data. Using modern information technology, this module combines the electronic medical record system (EMR) and data acquisition interfaces to automatically extract and enter basic information such as the patient's name, age, and gender. In addition, by integrating biomedical sensors and medical image processing technologies, the system can obtain and analyze intraocular pressure data from preoperative examinations and the patient's medical history information in real time. These data can be seamlessly docked through the interface with the hospital database to ensure the accuracy and integrity of the information; Regarding the selection of surgical types, the system supports the recording of multiple surgical types to ensure that different patient needs can be met. At the same time, the upload and analysis of imaging examination reports are also realized through image recognition technology and natural language processing (NLP) technology, automatically extracting key information, reducing errors and time consumption in manual entry. All collected data will be standardized for subsequent risk assessment and decision support to ensure accurate and timely patient information for the medical team; The data processing module plays a key role in the ophthalmic surgery safety verification system, focusing on efficiently denoising the patient's basic information and surgery-related data to ensure data accuracy and reliability. This module uses a multi-level data cleaning method. First, it detects outliers and missing data through preprocessing algorithms and uses techniques such as interpolation and mean filling to correct data gaps while excluding obviously non-compliant data. In addition, the module also applies signal processing techniques, including mean filtering and wavelet denoising, to smooth continuous signals and image data from patient monitoring devices and imaging examinations, effectively removing random noise and retaining key feature information; After data denoising, the module standardizes the format of the cleaned and processed data and ensures data security and privacy through encryption technology. The processed data is stored in the system database in real time. The database uses relational or NoSQL technologies (such as MySQL or MongoDB) to support efficient data retrieval and management. This module also has a real-time data backup function to prevent data loss and ensures data integrity and traceability through a version control mechanism; The risk assessment module plays a core role in the ophthalmic surgery safety verification system. Its main task is to retrieve patient data from the system database and conduct in-depth data analysis to evaluate the safety of the upcoming surgery. This module first extracts and integrates the patient's basic information, surgery-related data, and medical history records. Using statistical and machine learning techniques, it calculates multiple key indicators, including the preoperative health score value, surgical complexity coefficient, estimated intraoperative blood loss, probability of postoperative complications, anesthesia risk assessment value, equipment reliability score, and medical team experience value. After synthesizing all the calculation results, a comprehensive ophthalmic surgery safety risk value is formed. This value is then compared with a preset surgical risk safety threshold, which is usually set within the range of 0 to 1, where: Safety risk threshold: 0.3 (low risk) Warning risk threshold: 0.5 (medium risk) High risk threshold: 0.7 (high risk) When the ophthalmic surgery safety risk value exceeds 0.5, the system will automatically mark it as "safety risk exists" and prompt the medical team to conduct further evaluation and discussion. When it is below 0.3, it is marked as "surgery is safe", indicating that the surgery can be carried out smoothly. Such a dynamic assessment mechanism can provide timely and accurate risk information for medical staff, enabling them to make scientific and reasonable clinical decisions, thereby enhancing patient safety and surgical success rate. Among them, the calculation formula for the patient's preoperative health score value is as follows: ; The preoperative health score value can comprehensively consider the patient's age, gender, medical history, and other health indicators, helping doctors fully understand the patient's physical condition and judge whether the patient is suitable for surgery. In the formula, represents the patient's preoperative health score value, represents the patient's recent physical examination results, represents the patient's medical history score, represents the score indicating whether the patient has imaging abnormalities, , , represent the weights of their respective indicators, which are obtained through the evaluation of clinical medical experts. By accurately assessing the patient's health status, doctors can design more personalized surgical plans to meet the specific needs of different patients, thereby reducing surgical risks. The calculation formula for the surgical complexity coefficient is as follows: ; The surgical complexity coefficient is used to quantify the technical requirements and difficulty of a surgery, helping doctors evaluate the time, techniques, and resource allocation required for the surgery. In the formula, represents the surgical complexity coefficient, represents the surgical type index, represents the patient's basic health status, represents the possible technical difficulty score during the surgery, 、 、 represent the weight coefficients of each factor, which are assigned through the evaluation of medical surgery experts. By understanding the complexity of the surgery, the medical team can make a more reasonable surgical plan and resource allocation to ensure the smooth progress of the surgery; The formula for predicting the intraoperative blood loss is as follows: ; An accurate prediction of the intraoperative blood loss helps evaluate the surgical risk and make corresponding preparations in advance, including arrangements for blood transfusion and blood reservation, to ensure the safety of the surgery. In the formula, represents the predicted value of the intraoperative blood loss, represents the predicted blood loss related to the surgical difficulty, represents the patient's blood parameters, represents the equipment reliability score, 、 、 represent the weight coefficients, which are obtained through the evaluation of ophthalmic surgery experts. Doctors can adjust the surgical techniques and methods according to the predicted blood loss to reduce the bleeding risk and optimize the surgical operation; The formula for calculating the probability of postoperative complications is as follows: ; By calculating the probability of postoperative complications, doctors can pre-identify the higher risk factors in the patient group and formulate preventive measures early. In the formula, represents the probability of postoperative complications, represents the baseline probability of complications, represents the influence coefficient of surgical complexity on the probability of complications, represents the influence coefficient of preoperative health status on the probability of complications. Understanding the probability of complications can help the hospital reasonably arrange resources to deal with possible postoperative problems; The formula for the anesthesia risk assessment value is as follows: ; The anesthesia risk assessment value can evaluate the patient's tolerance to anesthesia, helping anesthesiologists develop a safe anesthesia plan and reduce the risk of anesthesia-related complications. In the formula, represents the anesthesia risk assessment value, The score obtained indicating the patient's underlying medical history The score assigned for local anesthesia 、 、 Indicating the weight coefficients of each factor, obtained through evaluation by experts in the field of anesthesia. Identifying anesthesia risks in advance enables the medical team to conduct additional evaluations and preparations before surgery, ensuring safety during the operation; The calculation formula for the equipment reliability score is as follows: ; The equipment reliability score can evaluate the performance and effectiveness of the equipment required for the surgery, ensuring that the surgical instruments operate properly throughout the process and reducing the risks brought by equipment failures. In the formula, Indicates the equipment reliability score Indicates the equipment maintenance frequency Indicates the historical failure rate 、 Indicating the weight coefficients of each factor, obtained through evaluation by experts in the field of medical equipment. A high reliability score means a low equipment failure rate, thereby improving the overall safety and smoothness of the surgery and reducing surgical accidents; The calculation formula for the medical team experience value is as follows: ; The experience value of the medical team can reflect the professionalism of the team in the field of surgery. An experienced team can usually handle complex situations and reduce the possibility of technical errors. In the formula, Indicates the medical team experience value Indicates the total number of successful surgeries of the medical team members Indicates the average years of experience of the medical team members Indicates the number of professional training sessions for ophthalmic surgery 、 、 Indicating the weight coefficients of each factor, obtained through evaluation by experts in the medical field. A team with a high experience value can respond quickly in the face of emergencies, increasing the success rate of the surgery and thereby improving the patient's outcome and satisfaction; The calculation formula for the ophthalmic surgery safety risk value is as follows: ; In the formula, Represents the safety risk value of ophthalmic surgery. Based on all the above-mentioned scoring values, the final calculated safety risk value of ophthalmic surgery is a comprehensive assessment of the overall risk of the surgery, providing a comprehensive safety perspective. Accurate calculation and evaluation of the safety risk value of surgery can convey to patients the importance of the medical team to their safety, enhance patients' trust in surgery and medical staff, and help improve patients' treatment compliance and satisfaction; The report generation module plays a key role in the ophthalmic surgery safety verification system. It is responsible for extracting surgical risk information from the risk assessment module and integrating this information into the preset report template. This module uses the automated data integration function to obtain the latest calculated surgical safety risk value, preoperative health score, surgical complexity coefficient, postoperative complication probability and other multi-dimensional data from the risk assessment module through the API interface or direct database query. During the report generation process, the module uses a template engine (such as Jinja2 or Apache Freemarker) to dynamically populate the report to ensure the accuracy and consistency of the information. The generated electronic version of the eye surgery safety verification report not only includes the individual risk assessment information of each patient, but also comes with necessary charts and data visualizations, so that the medical team can intuitively understand the patient's risk status; The generated report is then distributed to relevant medical team members via email or the hospital's internal information platform (such as the hospital's HIS system or EMR system) to ensure that all relevant personnel can quickly obtain key surgical information. In addition, in order to ensure information security, all sent reports are encrypted to protect the patient's privacy and the confidentiality of the data content.

[0019] Through the comprehensive application of the above systems, not only the scientificity and accuracy of risk assessment are improved and the omission of important risk factors is reduced, but also electronic safety verification reports are provided to the medical team, which promotes doctor-patient communication and decision-making transparency, thereby improving the safety and success rate of surgery.

[0020] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An ophthalmic surgery safety verification system, characterized by: It includes input module, data processing module, risk assessment module and report generation module; The input module is responsible for collecting the patient's basic information and surgery-related data, including the patient's name, age, gender, medical history, preoperative intraocular pressure data, surgery type, and patient imaging examination report; The data processing module performs denoising on the patient's basic information and surgery-related data, and stores the data in the system database after the data processing is completed; The risk assessment module retrieves patient data from the system database, performs data analysis, calculates the patient's preoperative health score, surgical complexity coefficient, estimated intraoperative bleeding volume, probability of postoperative complications, anesthesia risk assessment value, equipment reliability score, and medical team experience value, and comprehensively calculates the ophthalmic surgery safety risk value, compares the ophthalmic surgery safety risk value with a preset surgical risk safety threshold, and when the ophthalmic surgery safety risk value exceeds the surgical risk safety threshold, it is marked as a safety risk, and when the ophthalmic surgery safety risk value is lower than the surgical risk safety threshold, it is marked as a safe surgery; The report generation module obtains the surgical risk information from the risk assessment module, fills the surgical risk information into the report template, generates an electronic version of the ophthalmic surgery safety verification report, and sends it to the medical team members.

2. An ophthalmic surgery safety verification system according to claim 1, characterized in that: The formula for data denoising is as follows: ； In the formula, Represents the pixel value of the denoised data, Indicates that the original data is at location The pixel value of represents the normalization factor, which is equal to the number of neighborhood pixels. Represents pixels The surrounding neighborhood.

3. An ophthalmic surgery safety verification system according to claim 2, characterized in that: The calculation formula of the patient's preoperative health score is as follows: ； In the formula, represents the patient's preoperative health score, Indicates the patient's recent physical examination results. represents the patient's medical history score, The score indicating whether the patient's image is abnormal or not, , , Represents the weight represented by each indicator, which is obtained through evaluation by clinical medicine experts.

4. An ophthalmic surgery safety verification system according to claim 3, characterized in that: The calculation formula of the surgical complexity coefficient is as follows: ； In the formula, represents the surgical complexity coefficient, Indicates the type of surgery indicator, Indicates the patient's basic health status. Indicates the possible technical difficulty score during surgery. , , Represents the weight coefficient of each factor, which is evaluated and assigned by medical surgery experts.

5. An ophthalmic surgery safety verification system according to claim 4, characterized in that: The estimated calculation formula for the intraoperative blood loss is as follows: ； In the formula, It represents the estimated amount of intraoperative blood loss. Indicates the estimated amount of blood loss related to the difficulty of the operation, Indicates the patient's blood parameters, Represents the reliability score of the equipment, , , represents the weight coefficient, which is obtained through evaluation by ophthalmic surgery experts.

6. An ophthalmic surgery safety verification system according to claim 5, characterized in that: The calculation formula for the probability of postoperative complications is as follows: ； In the formula, The probability of postoperative complications. represents the baseline probability of complications, represents the influence coefficient of surgical complexity on the probability of complications, Represents the influence coefficient of preoperative health status on the probability of complications.

7. An ophthalmic surgery safety verification system according to claim 6, characterized in that: The calculation formula of the anesthesia risk assessment value is as follows: ； In the formula, represents the anesthesia risk assessment value, Indicates the score obtained by the patient's basic medical history. represents the score assigned to local anesthesia, , , It represents the weight coefficient of each factor, which is obtained through evaluation by experts in the field of anesthesia.

8. An ophthalmic surgery safety verification system according to claim 7, characterized in that: The calculation formula of the equipment reliability score is as follows: ； In the formula, Represents the reliability score of the equipment, Indicates the frequency of equipment maintenance. represents the historical failure rate, , The weight coefficients representing various factors are obtained through evaluation by medical device experts.

9. An ophthalmic surgery safety verification system according to claim 8, characterized in that: The calculation formula of the medical team experience value is as follows: ； In the formula, Indicates the medical team experience value. represents the total number of successful operations performed by medical team members, represents the average years of experience of medical team members, represents the number of specialized training sessions in ophthalmic surgery, , , It represents the weight coefficient of each factor, which is obtained through evaluation by experts in the medical field.

10. An ophthalmic surgery safety verification system according to claim 9, characterized in that: The calculation formula of the ophthalmic surgery safety risk value is as follows: ； In the formula, Represents the safety risk value of ophthalmic surgery.

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