Intelligent veterinary operation recording and analyzing method and system

Abstract

The invention relates to the technical field of intelligent analysis, in particular to an intelligent veterinary operation recording and analysis method and system, and the method comprises the following steps: capturing veterinary actions through a camera, transmitting operation scene data in real time, positioning and tracking operation instruments and veterinary positions, analyzing data, distinguishing key stages of an operation, and obtaining a key stage recognition result. According to the invention, through combination of visual identification and voice conversion technologies, key actions and instrument use in an operation process are accurately captured, detailed data stream conversion is provided, accurate calibration of key stages is realized, comprehensiveness and orderliness of operation records are brought, accuracy of operation decisions is optimized, and operation efficiency is improved. Through real-time monitoring and analysis of surgical instrument data and physiological parameters, the response speed to dynamic changes is improved, potential risks in the surgery are effectively recognized, the safety and efficiency of the surgery are remarkably improved, a solid data basis is provided for continuous optimization and risk management of the surgical process, and the surgical achievement and animal recovery speed are improved.

Description

Technical Field

[0001] This invention relates to the field of intelligent analysis technology, and in particular to an intelligent veterinary surgical record and analysis method and system. Background Technology

[0002] The field of intelligent analytics involves using data analysis techniques, machine learning algorithms, and big data processing methods to interpret and optimize the application of various datasets. In the medical and veterinary fields, there is a particular focus on improving the quality and safety of surgical outcomes by collecting real-time data during the surgical process. This includes analyzing biological parameters, equipment usage, and patient responses during surgery to provide decision support, optimize surgical procedures and follow-up care, and learn from historical data to identify potential risks and areas for improvement, thereby continuously improving the accuracy and efficiency of surgery and diagnosis.

[0003] Among them, the veterinary surgical record and analysis method aims to collect and process various data of animals during surgery through intelligent analysis technology. Its main purpose is to improve surgical safety, optimize surgical procedures, and improve the success rate of surgery and the speed of animal recovery through in-depth analysis of surgical data. In addition, it can monitor the surgical status in real time, provide veterinarians with necessary warnings and guidance, prevent complications, and ensure animal welfare.

[0004] Current technologies often fail to capture and analyze all critical data in real time during veterinary surgeries, limiting the timeliness and comprehensiveness of medical decisions. Furthermore, existing methods frequently exhibit insufficient flexibility in data integration and real-time feedback, particularly when rapid and comprehensive decision support is required. The precise extraction and staged segmentation of critical surgical information also often fall short of ideal results in current technologies, leading to errors in critical decisions, especially in emergency or complex surgical scenarios. These limitations not only affect immediate surgical outcomes but also hinder the efficiency of long-term veterinary surgical management and prognostic analysis, highlighting the need for improvements in comprehensive monitoring and data-driven decision-making within existing technologies. Summary of the Invention

[0005] The purpose of this invention is to address the shortcomings of existing technologies by proposing an intelligent veterinary surgical recording and analysis method.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: an intelligent veterinary surgical recording and analysis method, comprising the following steps:

[0007] S1: Capture veterinarian's actions through a camera, transmit surgical scene data in real time, locate and track the position of surgical instruments and veterinarian, analyze data to distinguish key stages of surgery, and obtain key stage identification results;

[0008] S2: The veterinary surgeon's oral narration during the surgical procedure is captured in real time through an earpiece and converted into text information. Key surgical information is extracted through keyword recognition. The results of the extracted key surgical information are integrated with the key stage recognition results, and the text analysis is performed to optimize the recording format and form a comprehensive surgical text record.

[0009] S3: Collect the output data of surgical instruments, record the time points of cutting and suturing, synchronously monitor and record the physiological parameters of the animal, analyze the changes in physiological parameters, calculate the synchronicity with the surgical event based on the analysis results of the changes in physiological parameters, identify potential surgical risk factors, and generate the correlation analysis results between the surgical event and the physiological response.

[0010] S4: Integrate the comprehensive surgical text record and the results of the correlation analysis between surgical events and physiological responses, optimize the readability of the text, and simultaneously analyze the detailed changes in the surgical video to obtain a comprehensive surgical analysis archive.

[0011] As a further aspect of the present invention, the step of obtaining the key stage identification result is as follows:

[0012] S111: Install cameras in the operating room to provide comprehensive real-time video monitoring of veterinarians and surgical instruments. Collect and compress video streams of the surgical scene in real time through video encoding to generate real-time video stream data.

[0013] S112: Based on the real-time video stream data, identify and track the position and movement path of the veterinarian and surgical instruments in real time, and generate position tracking data;

[0014] S113: Using the location tracking data and combining it with time series analysis, identify the key stages in the surgical process, time-mark each stage, calculate the surgical stage score at each moment, and generate the key stage identification result.

[0015] As a further aspect of the present invention, the step of extracting the key surgical information is as follows:

[0016] S211: Veterinarians perform surgery and verbally describe the operation details in real time. The voice information is captured in real time through a headset to obtain the raw audio data.

[0017] S212: Based on the original audio data, the audio signal is transcribed into text content through sound-to-text conversion processing to generate a preliminary surgical text record;

[0018] S213: Based on the preliminary surgical text record, keyword screening and key information extraction are performed. Combined with the surgical terminology database, key surgical steps are identified and labeled to generate a set of key surgical information.

[0019] As a further aspect of the present invention, the step of obtaining the comprehensive surgical text record is as follows:

[0020] S221: Integrate the surgical key information set and key stage identification results, sort the information by timeline and importance, integrate the data and output a structured surgical information dataset;

[0021] S222: Based on the structured surgical information dataset, perform deep text analysis, analyze and optimize the logical relationships in the text, perform semantic correction of medical terms and enhance information coherence, and output the optimized surgical text;

[0022] S223: Based on the optimized surgical text, standard formatting is performed, and the systematic layout of paragraphs, punctuation, and professional terminology is adjusted to match the format specifications of medical documents, generating a comprehensive surgical text record.

[0023] As a further aspect of the present invention, the analysis steps for the changes in the physiological parameters are as follows:

[0024] S311: Connect to surgical instruments to collect data, record every time point of cutting and suturing, and generate accurate surgical time stamp data;

[0025] S312: Synchronously set physiological monitoring sensors to monitor animal heart rate and blood pressure indicators, and match the timestamp with the accurate surgical time stamp data through synchronization technology to obtain time-stamped physiological monitoring data;

[0026] S313: Analyze the time-stamped physiological monitoring data, quantitatively assess the changes in physiological parameters at key moments of surgery, and generate physiological parameter change analysis results.

[0027] As a further aspect of the present invention, the steps for obtaining the correlation analysis results between the surgical event and the physiological response are as follows:

[0028] S321: Based on the analysis results of the physiological parameter changes, perform time series analysis and calculate the correlation coefficient between key time points during the surgical procedure and the changes in physiological parameters. Generate time synchronization analysis results;

[0029] S322: Using the time synchronization analysis results, perform deviation analysis to identify physiological parameter change points that deviate significantly from the normal physiological response model, identify potential risk factors during the operation, and obtain key risk factor identification results;

[0030] S323: Based on the results of the identification of key risk factors, determine the causal relationship between risk factors and surgical events through causal analysis, analyze the impact on animal physiological responses, and generate correlation analysis results between surgical events and physiological responses.

[0031] As a further aspect of the present invention, the step of obtaining the comprehensive surgical analysis file is as follows:

[0032] S411: Based on the results of the correlation analysis between the comprehensive surgical text record and physiological response, perform text and data matching, compare key surgical events and physiological parameters, verify the consistency between the two, and obtain preliminary integrated data after matching;

[0033] S412: Based on the preliminary integrated data after matching, perform semantic optimization, and generate optimized text data through structural reorganization and contextual clarification processing;

[0034] S413: Analyze the surgical video content, simultaneously annotate the video details associated with the optimized text data, detect the corresponding changes of the events described in the text in the video, and generate a comprehensive surgical analysis file.

[0035] An intelligent veterinary surgical record and analysis system includes:

[0036] The video monitoring module uses cameras to provide comprehensive real-time video monitoring of veterinarians and surgical instruments, identify and track the location and movement path of veterinarians and surgical instruments in real time, identify key stages in the surgical process and time-mark them, and generate key stage identification results.

[0037] The oral transcription module captures the details of the veterinarian's oral operation in real time through the headset, transcribes the audio signal into text content, performs keyword screening and key information extraction, combines the surgical terminology database, identifies and annotates key surgical steps, and generates a set of key surgical information.

[0038] The text generation module integrates the set of key surgical information with the identification results of key stages, sorts the information by timeline and importance, analyzes and optimizes the logical relationships in the text, and makes systematic adjustments to the layout of paragraphs, punctuation and professional terms to generate a comprehensive surgical text record.

[0039] The data synchronization module connects to the surgical instruments to collect data, record every time point of cutting and suturing, monitor animal heart rate and blood pressure, and match the timestamps with accurate surgical time markers through synchronization technology to quantitatively assess changes in physiological parameters at key moments of surgery and generate physiological parameter change analysis results.

[0040] Based on the analysis results of the changes in the physiological parameters, the physiological analysis module performs time series analysis, calculates correlation coefficients, identifies physiological parameter change points that deviate significantly from the normal physiological response model, analyzes the impact on animal physiological responses, and generates correlation analysis results between surgical events and physiological responses.

[0041] The comprehensive archive module performs text and data matching and semantic optimization based on the comprehensive surgical text record and the correlation analysis results between the surgical event and physiological response. Through structural reorganization and contextual clarification, it simultaneously annotates video details associated with the optimized text data to generate a comprehensive surgical analysis archive.

[0042] Compared with the prior art, the advantages and positive effects of the present invention are as follows:

[0043] This invention combines visual recognition and speech conversion technologies to accurately capture key actions and instrument usage during surgery, providing detailed data stream conversion and precise calibration of critical stages. This results in comprehensive and organized surgical records, while also optimizing the accuracy of surgical decisions. Real-time monitoring and analysis of surgical instrument data and physiological parameters enhances the response speed to dynamic changes, effectively identifies potential risks during surgery, and significantly improves surgical safety and efficiency. This provides a solid data foundation for continuous optimization of surgical procedures and risk management, thereby improving surgical outcomes and animal recovery speed. Attached Figure Description

[0044] Figure 1 This is a flowchart of the main steps of the present invention;

[0045] Figure 2 This is a flowchart illustrating the process of obtaining the identification results at a key stage of the present invention.

[0046] Figure 3 This is a flowchart illustrating the extraction of key surgical information in this invention.

[0047] Figure 4 This is a flowchart illustrating the process of obtaining comprehensive surgical text records according to the present invention.

[0048] Figure 5 This is a flowchart illustrating the analysis of changes in physiological parameters according to the present invention.

[0049] Figure 6 This is a flowchart illustrating the process of obtaining the correlation analysis results between surgical events and physiological responses in this invention.

[0050] Figure 7 This is a flowchart illustrating the process of obtaining comprehensive surgical analysis files for this invention. Detailed Implementation

[0051] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0052] In the description of this invention, it should be understood that the terms "length," "width," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer," etc., indicating orientation or positional relationships, are based on the orientation or positional relationships shown in the accompanying drawings and are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention. Furthermore, in the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0053] Please see Figure 1 A smart veterinary surgical record and analysis method includes the following steps:

[0054] S1: Capture veterinarian's actions through a camera, transmit surgical scene data in real time, locate and track the position of surgical instruments and veterinarian, analyze data to distinguish key stages of surgery, and obtain key stage identification results;

[0055] S2: The veterinary surgeon's dictation during the surgical procedure is captured in real time through an earpiece and converted into text information. Key surgical information is extracted through keyword recognition. The results of the extracted key surgical information are integrated with the results of key stage identification, and the text analysis is performed to optimize the recording format and form a comprehensive surgical text record.

[0056] S3: Collect the output data of surgical instruments, record the time points of cutting and suturing, synchronously monitor and record the physiological parameters of the animal, analyze the changes in physiological parameters, calculate the synchronicity with the surgical event based on the analysis results of the changes in physiological parameters, identify potential surgical risk factors, and generate the correlation analysis results between the surgical event and the physiological response.

[0057] S4: Integrate the comprehensive surgical text records and the results of the correlation analysis between surgical events and physiological responses, optimize text readability, and simultaneously analyze the detailed changes in the surgical video to obtain a comprehensive surgical analysis archive.

[0058] The key stage identification results include surgical stage classification results, location tracking records, and instrument positioning results. The comprehensive surgical text record includes key information extraction results, record format design results, and text content analysis results. The surgical event and physiological response correlation analysis results include parameter change assessment records, synchronization calculation results, and risk identification records. The comprehensive surgical analysis archive includes data fusion results and video detail review records.

[0059] Please see Figure 2 The steps for obtaining the identification results of the key stage are as follows:

[0060] S111: Install cameras in the operating room to provide comprehensive real-time video monitoring of veterinarians and surgical instruments. Collect and compress video streams of the surgical scene in real time through video encoding to generate real-time video stream data.

[0061] In the operating room, high-resolution cameras are strategically positioned in multiple key locations to capture every movement and detail of the veterinarian and surgical instruments from all angles without blind spots. Advanced image capture technologies, such as high dynamic range imaging and optical zoom, ensure clear video streams under varying lighting and distance conditions. Video data is compressed using real-time encoding techniques, employing efficient algorithms like H.265, which significantly reduces file size while maintaining image quality—crucial for surgical videos requiring long-term storage and rapid transmission. This workflow not only ensures high-efficiency data transmission during surgery but also greatly reduces the demand for network bandwidth and storage space, enabling the veterinary surgical team to obtain detailed visual information of the surgical scene in real time, providing strong data support for the successful execution of veterinary surgeries.

[0062] S112: Based on real-time video stream data, identify and track the location and movement path of veterinarians and surgical instruments in real time, and generate location tracking data;

[0063] Based on the generated high-definition real-time video stream data, machine vision technology is used for deep analysis to identify and track the precise positions of veterinarians and instruments during surgery in real time. The process first involves using deep learning models, particularly convolutional neural networks (CNNs), trained on a large amount of surgical video data, capable of recognizing different surgical scenarios and instrument types. Through these algorithms, the system can analyze pixel changes in video frames, identify moving veterinarians or surgical instruments, and track their paths within the operating room. Furthermore, the system can distinguish foreground and background through image segmentation technology, accurately locating the veterinarian's hands and the specific instruments used, which is crucial for precise control of the surgical process and improving surgical safety.

[0064] S113: Utilizing location tracking data and time series analysis, identify key stages in the surgical procedure, and time-stamp each stage using a formula.

[0065]

[0066] The surgical phase score at each time step was calculated. Generate key stage identification results, among which, Represents time The Location tracking data at each stage, This represents the time when the corresponding stage occurs. Represents the total time of all key stages. Represents the number of key stages;

[0067] In time have , seconds, and The stages, with a total time If the time is seconds, the calculation is as follows:

[0068]

[0069] The results showed that during the observation period The surgical phase score was 0.1, which reflects the correlation between the activity density of the surgical phase at that time point and the entire surgical process. The higher this value, the more critical the surgical activity at that time point is.

[0070] Please see Figure 3 The steps for extracting key surgical information are as follows:

[0071] S211: Veterinarians perform surgery and verbally describe the operation details in real time. The voice information is captured in real time through a headset to obtain the raw audio data.

[0072] During the surgery, the veterinarian wears an earpiece and dictates the procedure in real time. The dictated information includes descriptions of the surgical steps, instructions for adjusting medical equipment, and emergency response measures. After the earpiece captures the sound signal, it is transmitted to the sound processing system in real time. The system is equipped with advanced sound recognition technology, which can accurately convert the sound signal into digital audio data. The sound enhancement and signal decryption technologies involved in this conversion process ensure high-quality audio output. The raw audio data is the basis for subsequent text transcription and information extraction, ensuring the integrity and accuracy of the surgical record.

[0073] S212: Based on the original audio data, after sound-to-text conversion processing, the audio signal is transcribed into text content to generate a preliminary surgical text record;

[0074] The raw audio data obtained through the sound processing system enters the speech-to-text conversion system. This system uses a deep learning model to improve the accuracy of speech-to-text conversion. The model has been trained on a large amount of surgical speech data and can recognize various medical professional terms and complex surgical instructions. The system implements real-time error correction during the conversion process to reduce recognition errors and ensure that the generated preliminary surgical text record reflects the original oral content as accurately as possible. The conversion involves not only speech parsing but also contextual understanding and terminology standardization, so that the final text meets the requirements of surgical records in terms of medical professionalism and readability.

[0075] S213: Based on the preliminary surgical text record, keyword screening and key information extraction are performed. Combined with the surgical terminology database, key surgical steps are identified and annotated to generate a set of key surgical information.

[0076] The generated preliminary surgical text record undergoes key information extraction. Information related to key surgical steps is filtered out from the text. This information is refined and verified through comparative analysis with a medical terminology database to ensure that the extracted data accurately matches the key decision points in the surgery. During this process, the program also adjusts the priority of information extraction according to the type of surgery to ensure that all surgical records undergo strict quality control. The extracted key information set provides necessary data support for subsequent surgical evaluation and medical document archiving, enhancing the practicality and research value of surgical documents.

[0077] Please see Figure 4 The steps for obtaining comprehensive surgical text records are as follows:

[0078] S221: Integrate the key surgical information set with the key stage identification results, sort the information by timeline and importance, integrate the data and output a structured surgical information dataset;

[0079] The system integrates key surgical information with surgical stage identification results. This operation is accomplished using an advanced text integration tool that employs powerful classification algorithms to analyze and sort the collected data. First, it identifies the time tags and keywords for each piece of information, then organizes this information according to the chronological order and importance of the surgeries. In this way, scattered data can be reconstructed into a coherent and structured surgical information dataset, improving accessibility and laying the foundation for subsequent data processing and analysis.

[0080] S222: Based on a structured surgical information dataset, perform deep text analysis to analyze and optimize the logical relationships in the text, perform semantic correction of medical terms and enhance information coherence, and output optimized surgical text;

[0081] The integrated surgical information dataset underwent deep text analysis, specifically optimized for medical texts using natural language processing techniques. This involved detecting structural and semantic coherence within the text, automatically correcting medical terminology, and optimizing information expression. Furthermore, analysis of the surgical procedure descriptions ensured the accuracy and professionalism of all medical actions and terminology, significantly improving the overall quality of the text. This complex processing ensured the text was error-free in terms of medical precision and operational details, resulting in a final surgical record that was both comprehensive and accurate.

[0082] S223: Based on the optimized surgical text, standard formatting is performed, and the systematic layout of paragraphs, punctuation, and professional terminology is adjusted to match the format specifications of medical documents, generating a comprehensive surgical text record;

[0083] The system formats and performs final editing on the optimized surgical text to ensure it meets stringent medical record standards. An automated typesetting system standardizes paragraphs, punctuation, and terminology. Based on pre-defined medical document formatting rules, the system adjusts the text layout, including paragraph breaks, punctuation correction, and the appropriate presentation of technical terminology. This not only enhances the document's readability but also ensures its formal applicability in medical review and record management, providing the medical team with an accurate and standardized record of the surgical procedure.

[0084] Please see Figure 5 The steps for analyzing changes in physiological parameters are as follows:

[0085] S311: Connect to surgical instruments to collect data, record every time point of cutting and suturing, and generate accurate surgical time stamp data;

[0086] When connecting surgical instruments to the monitoring system, the data interface is first configured to ensure accurate recording of every cutting and suturing time point. This process includes setting the data transmission rate to adapt to real-time data capture, adjusting the data buffer size to prevent data loss during high-frequency operations, and setting the acquisition frequency and resolution according to the technical parameters in the equipment specifications to ensure the accuracy of the timestamps. In addition, the synchronization of the time stamp data must also be calibrated to ensure that the time stamps of the surgical instruments are completely synchronized with the actual operation time, avoiding inaccurate data due to time deviations. After these steps, the final surgical time stamp data can accurately reflect the occurrence time of each important event during the operation.

[0087] S312: Synchronously set physiological monitoring sensors to monitor animal heart rate and blood pressure indicators. Through synchronization technology, the timestamp is matched with the accurate surgical time stamp data to obtain time-stamped physiological monitoring data.

[0088] Setting up physiological monitoring sensors involves fine-tuning multiple parameters, including sensor sensitivity and measurement range. First, a suitable sensor model is selected based on the animal's specific physiological characteristics. Then, the sensor sensitivity is adjusted according to pre-set monitoring targets, such as heart rate and blood pressure, to adapt to the physiological changes that may occur in the animal during surgery. For heart rate sensors, filters also need to be set to eliminate electrical noise and other interference to ensure the accuracy and reliability of the obtained data. Then, through synchronization technology, the monitored data is matched with the surgical time stamp to ensure that each data point has a precise time reference, thereby obtaining accurate and continuous physiological monitoring data with time stamps.

[0089] S313: Analyze time-stamped physiological monitoring data, quantitatively assess changes in physiological parameters at critical moments during surgery, and generate physiological parameter change analysis results;

[0090] When conducting in-depth analysis of time-stamped physiological monitoring data, the data, such as heart rate and blood pressure, are first serialized according to the surgical timeline. This includes aligning data points with specific surgical time points to determine physiological changes before and after key surgical procedures such as cutting and suturing. Windowing analysis is then performed to calculate the average heart rate and blood pressure within each time window, as well as the standard deviation of the parameters. This helps reveal the fluctuations of parameters during critical surgical phases. In particular, for heart rate data, an autoregressive moving average (ARMA) model is further applied to predict future trends based on data from several known consecutive time points. This model can predict future parameter changes by establishing statistical relationships between time series data. The α and β coefficients in the model are estimated using the least squares method. These calculation steps provide surgeons with detailed trends in the physiological parameters of animals during surgery, enabling timely responses to the animal's physiological responses during the operation and ensuring the safety and effectiveness of the surgery.

[0091] Please see Figure 6 The steps for obtaining the correlation analysis results between surgical events and physiological responses are as follows:

[0092] S321: Based on the analysis results of physiological parameter changes, perform time series analysis using the formula...

[0093]

[0094] Calculate the correlation coefficient between key time points during the surgical procedure and changes in physiological parameters. Generate time synchronization analysis results, among which, This represents the cumulative number of time points during the analysis period. and These represent the surgical time and corresponding physiological parameter values ​​recorded at each time point;

[0095] At four time points ( ) to measure heart rate ( The time points and heart rate data are respectively First, calculate the product of each term. and the square of each term and The given values ​​are as follows:

[0096]

[0097]

[0098]

[0099]

[0100]

[0101]

[0102]

[0103]

[0104] Substitute these values ​​into the formula:

[0105]

[0106]

[0107]

[0108]

[0109] The results showed a high correlation between the timing of surgery and physiological response. The value is very close to 1), indicating a strong direct synchronicity between heart rate changes at specific time points and surgical activities. This analysis helps to further investigate the relationship between critical moments during surgery and physiological responses, providing data support for surgical risk management.

[0110] S322: Using the results of time synchronization analysis, deviation analysis is performed to identify physiological parameter changes that deviate significantly from the normal physiological response model, identify potential risk factors during the surgical process, and obtain the key risk factor identification results;

[0111] By employing deviation analysis to identify physiological parameter changes that deviate significantly from the normal physiological response model, the collected physiological parameter data are first baseline-adjusted based on a statistical model of normal physiological parameters. The data at each measurement point are calibrated to eliminate interference from equipment and environmental variables. Then, each data point is compared with the model's predicted value, and outliers exceeding the predetermined range are marked. These outliers are considered potential risk factors. Finally, an identification result containing key risk factors is generated, which will be used to assess the potential risk level during surgery and provide a basis for clinical decision-making.

[0112] S323: Based on the results of identifying key risk factors, determine the causal relationship between risk factors and surgical events through causal analysis, analyze the impact on animal physiological responses, and generate correlation analysis results between surgical events and physiological responses;

[0113] Causal analysis tools were used to investigate the impact of identified key risk factors on surgical outcomes and animal physiological responses by constructing a linear regression model: This is used to calculate the statistical contribution of each risk factor to the change in physiological parameters, where... This represents the amount of change in physiological parameters. Representing different risk factors, These are regression coefficients, representing the strength of the influence of each factor. It is a constant term. This is the error term. The regression coefficients are obtained using the least squares method, which finds the optimal estimate of the coefficients by minimizing the sum of squared errors. A model is independently constructed for each physiological parameter, such as heart rate and blood pressure, calculating the contribution of its corresponding risk factors and evaluating the goodness of fit of the model. This method can quantify the influence of each risk factor, identify the main influencing factors during surgery, and generate detailed reports reflecting the correlation between surgical events and physiological responses. This provides a basis for surgical risk assessment and strategy adjustment, thereby improving surgical safety and optimizing postoperative recovery efficiency.

[0114] Please see Figure 7 The steps for obtaining the comprehensive surgical analysis file are as follows:

[0115] S411: Based on the results of the correlation analysis between the comprehensive surgical text record and physiological response, text and data matching is performed, key surgical events and physiological parameters are compared, the consistency between the two is tested, and preliminary integrated data after matching is obtained;

[0116] First, based on surgical text records and physiological response data, text comparison and data matching techniques are used to verify the consistency between key events recorded in the surgical text and physiological data, ensuring that each physiological response data is aligned with the corresponding surgical event. The time series of events is analyzed using recognition technology to accurately match physiological response fluctuations. Statistical validation methods are used to detect the effectiveness of the matching, ensuring data consistency and reliability, and generating preliminary integrated data after matching. An iterative feedback mechanism is used to optimize the consistency and accuracy of the data, providing a solid data foundation for the next step of text optimization.

[0117] S412: Based on the preliminary integrated data after matching, semantic optimization is performed, and optimized text data is generated through structural reorganization and contextual clarification.

[0118] After obtaining the initial integrated data, the next step is to use natural language processing tools to further semantically optimize the data. The process includes data cleaning, semantic analysis, and text reconstruction. First, semantic redundancy is removed through part-of-speech tagging and dependency parsing to extract keywords and phrases. Then, machine learning models are used to analyze the internal logic and semantic flow of the text, and the information structure is reorganized according to the context to enhance the coherence and logic of the sentences. Text readability enhancement algorithms are used to optimize the way information is expressed to make it more in line with the reading habits of medical professionals. Finally, optimized text data is generated, which will be directly used for the annotation and analysis of video data.

[0119] S413: Analyze the surgical video content, simultaneously annotate the video details associated with the optimized text data, detect the corresponding changes of the events described in the text in the video, and generate a comprehensive surgical analysis file;

[0120] By comprehensively utilizing video analytics and text data analysis results, this approach identifies and annotates surgical videos to pinpoint key surgical procedures and changes. Visual information is matched with optimized text data, and dynamic tracking technology ensures a high degree of consistency between the video and text descriptions. The analysis examines how video data complements text analysis results and employs multimodal data fusion technology to integrate visual and textual information. Ultimately, this generates a comprehensive surgical analysis archive containing rich details and high-precision analysis, providing the medical team with a complete review and evaluation of the surgical process.

[0121] An intelligent veterinary surgical record and analysis system includes:

[0122] The video monitoring module uses cameras to provide comprehensive real-time video monitoring of veterinarians and surgical instruments, identify and track the location and movement path of veterinarians and surgical instruments in real time, identify key stages in the surgical process and time-mark them, and generate key stage identification results.

[0123] The oral transcription module captures the details of the veterinarian's oral operation in real time through the headset, transcribes the audio signal into text content, performs keyword screening and key information extraction, combines the surgical terminology database, identifies and annotates key surgical steps, and generates a set of key surgical information.

[0124] The text generation module integrates the key surgical information set and the key stage identification results, sorts the information by timeline and importance, analyzes and optimizes the logical relationships in the text, and makes systematic adjustments to the layout of paragraphs, punctuation and professional terms to generate a comprehensive surgical text record.

[0125] The data synchronization module connects to the surgical instruments to collect data, record every time point of cutting and suturing, monitor animal heart rate and blood pressure, and match the timestamps with accurate surgical time markers through synchronization technology to quantitatively assess changes in physiological parameters at key moments of surgery and generate physiological parameter change analysis results.

[0126] The physiological analysis module performs time series analysis based on the results of physiological parameter change analysis, calculates correlation coefficients, identifies physiological parameter change points that deviate significantly from the normal physiological response model, analyzes the impact on animal physiological responses, and generates correlation analysis results between surgical events and physiological responses.

[0127] The comprehensive archive module, based on the correlation analysis results of comprehensive surgical text records and physiological responses, performs text and data matching, semantic optimization, and generates a comprehensive surgical analysis archive by simultaneously annotating video details associated with the optimized text data through structural reorganization and contextual clarification.

[0128] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention in any other way. Any person skilled in the art may make changes or modifications to the above-disclosed technical content to create equivalent embodiments that can be applied to other fields. However, any simple modifications, equivalent changes, and modifications made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the protection scope of the present invention.

Claims

1. A method for intelligent veterinary surgery record and analysis, characterized in that, Comprise the following steps: S1: capture the veterinarian action through the camera, real-time transmission of operation scene data, positioning and tracking of surgical instruments and veterinarian position, analysis of data to distinguish key stages of operation, and obtaining key stage identification results; S2: real-time capture of the veterinarian's operation process, conversion of the spoken content into text information, extraction of key information through keyword recognition, integration of the operation key information extraction results with the key stage identification results, text analysis and optimization of the record format, and formation of comprehensive operation text records; S3: collecting output data of surgical instruments, recording the time points of cutting and suturing, synchronously monitoring and recording physiological parameters of animals, analyzing physiological parameter changes, calculating the synchronicity of physiological parameter change analysis results with operation events, identifying potential operation risk factors, and generating operation event and physiological reaction correlation analysis results; S4: data integration based on the comprehensive operation text records and the operation event and physiological reaction correlation analysis results, optimization of text readability, synchronous analysis of detail changes in the operation video, and obtaining operation comprehensive analysis archives.

2. The intelligent veterinary procedure note and analysis method of claim 1, wherein, The key stage identification result acquisition step is: S111: install a camera in the operating room for real-time video monitoring of the veterinarian and surgical instruments, collect and compress the video stream of the operation scene in real time through video coding, and generate real-time video stream data; S112: based on the real-time video stream data, real-time identification and tracking of the positions and movement paths of the veterinarian and surgical instruments, and generation of position tracking data; S113: using the position tracking data, combined with time series analysis, identifying key stages in the operation process, time labeling each stage, calculating the operation stage score at each time, and generating key stage identification results.

3. The intelligent veterinary procedure note and analysis method of claim 1, wherein, The operation key information extraction step is: S211: the veterinarian performs the operation, real-time oral operation details, and real-time capture of the voice information through the headset to obtain original audio data; S212: based on the original audio data, audio signal transcription to text content through sound-to-text conversion processing, and generation of preliminary operation text records; S213: according to the preliminary operation text records, keyword screening and key information extraction, combined with a surgical-related term library, identification and labeling of key surgical steps, and generation of a set of operation key information.

4. The intelligent veterinary procedure note and analysis method of claim 3, wherein, The acquisition step of the comprehensive operation text records is: S221: integrate the set of operation key information and the key stage identification results, sort the information by timeline and importance, integrate the data and output a structured operation information data set; S222: based on the structured operation information data set, perform deep text analysis, analyze and optimize the logical relationships in the text, perform medical terminology semantic correction and information coherence enhancement, and output the optimized operation text; S223: according to the optimized operation text, perform standard formatting, perform paragraph, punctuation, and professional term system layout adjustment, match the format specifications of medical documents, and generate comprehensive operation text records.

5. The intelligent veterinary procedure note and analysis method of claim 1, wherein, The physiological parameter change analysis step is: S311: Access the surgical instrument to collect data, record each time point of cutting and suturing, and generate accurate surgical time marker data; S312: Synchronize the physiological monitoring sensor, monitor the animal's heart rate and blood pressure indicators, match the timestamp with the accurate surgical time marker data through synchronization technology, and obtain time-labeled physiological monitoring data; S313: Analyze the time-labeled physiological monitoring data, quantitatively evaluate the physiological parameter changes at critical moments of the operation, and generate physiological parameter change analysis results.

6. The intelligent veterinary procedure note and analysis method of claim 5, wherein, The acquisition step of the operation event and physiological response correlation analysis result is: S321: According to the physiological parameter change analysis result, time series analysis is performed, the correlation coefficient between the key time point of the operation process and the physiological parameter change is calculated, and the time synchronization analysis result is generated; S322: Using the time synchronization analysis result, deviation analysis is performed to identify physiological parameter change points that deviate significantly from the normal physiological response model, identify potential risk factors in the operation process, and obtain key risk factor identification results; S323: Comprehensive key risk factor identification results, determine the causal relationship between risk factors and surgical events through causal analysis, analyze the impact on animal physiological response, and generate operation event and physiological response correlation analysis results.

7. The intelligent veterinary procedure note and analysis method of claim 6, wherein, The acquisition step of the operation comprehensive analysis file is: S411: Based on the comprehensive surgical text record and the physiological response correlation analysis result, text and data matching is performed, the consistency between the key events of the operation and the physiological parameters is compared, and the preliminary integrated data after matching is obtained; S412: According to the preliminary integrated data after matching, semantic optimization is performed, and the optimized text data is generated through structure reorganization and context clarification processing; S413: Analyze the content of the operation video, synchronize the video details associated with the optimized text data, detect the corresponding changes of the events described in the text in the video, and generate the operation comprehensive analysis file.

8. An intelligent veterinary surgery recording and analysis system characterized by, The system is used to execute the intelligent veterinary surgery record and analysis method of any one of claims 1-7, comprising: The video monitoring module monitors the veterinarian and surgical instruments in all directions in real time through the camera, identifies and tracks the position and movement path of the veterinarian and surgical instruments in real time, identifies the key stages in the operation process and marks the time, and generates key stage identification results; The dictation transcription module captures the operation details dictated by the veterinarian in real time through the earphone, transcribes the audio signal into text content, performs keyword screening and key information extraction, combines with the surgical related term library, identifies and labels the key surgical steps, and generates a set of key surgical information; The text generation module integrates the set of key surgical information and the key stage identification results, sorts the information by timeline and importance, analyzes and optimizes the logical relationship in the text, performs systematic layout adjustment of paragraphs, punctuation and professional terms, and generates a comprehensive surgical text record; The data synchronization module accesses the surgical instrument to collect data, records each time point of cutting and suturing, monitors the heart rate and blood pressure of the animal, matches the time stamp with the accurate surgical time mark data through synchronization technology, quantitatively evaluates the physiological parameter changes at the key moment of the surgery, and generates a physiological parameter change analysis result; The physiological analysis module performs time series analysis according to the physiological parameter change analysis result, calculates a correlation coefficient, identifies a physiological parameter change point that significantly deviates from a normal physiological response model, analyzes the influence on the physiological response of the animal, and generates a correlation analysis result of the surgical event and the physiological response; The comprehensive archive module performs text and data matching according to the comprehensive surgical text record and the correlation analysis result of the surgical event and the physiological response, performs semantic optimization, processes through structure reorganization and context clarification, synchronously labels video details associated with the optimized text data, and generates a comprehensive surgical analysis archive.

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