A whole-process tracking and fee settlement management method and system for medical consumables

Abstract

This invention relates to a method and system for full-process traceability and cost settlement management of medical consumables used during surgery, relating to the field of medical consumables management. The method includes: collecting surgical scheduling information and the identity information of the accompanying personnel; obtaining qualification verification results based on the surgical scheduling information and the identity information of the accompanying personnel; when the qualification verification is passed, collecting the electronic signature of the attending physician to generate pre-operative confirmation information; collecting consumable image information in response to the pre-operative confirmation information; identifying the consumables based on the image information to obtain consumable identification results; generating a real-time intraoperative record based on the consumable identification result and the surgical scheduling information; generating an electronic settlement statement based on the real-time intraoperative record, and pushing the electronic settlement statement to the terminals of the attending physician, the accompanying personnel, and the surgical nurse to obtain three-party electronic signature confirmation information, thereby completing cost settlement and inventory updates. This invention effectively meets the needs of refined management in scenarios where accompanying personnel and goods are always on-site.

Description

Technical Field

[0001] This invention relates to the field of medical consumables management, and in particular to a method and system for full traceability and cost settlement management of medical consumables. Background Technology

[0002] "Assisted medical consumables" refers to high-value medical consumables that are carried into the operating room by professional technicians (i.e., assistants) assigned by medical device suppliers to provide technical support and assist doctors in using during the operation.

[0003] Currently, several technical solutions have been proposed and applied for the management of medical consumables used in operating rooms. For example, an RFID-based intelligent management system for high-value consumables automatically identifies and tracks consumables upon entry, exit, and use by attaching RFID tags to them; a high-value consumables traceability and settlement system binds consumables to patient information via barcode scanning, enabling traceability of consumable usage; an operating room high-value consumables management system focuses on consumable requisition, return, and inventory management, supporting a zero-inventory procurement model; and an automatic recording method for high-value consumables automatically records consumable usage through identity authentication and RFID scanning, supporting offline operation.

[0004] The existing on-site medical consumables management scheme lacks a closed-loop management of the entire process, including personnel qualifications, consumable usage, cost settlement, and inventory updates. This results in a lack of supervision of on-site personnel qualifications, incomplete records of intraoperative consumable usage, untimely association of consumables with patients, cumbersome and inefficient settlement processes, and delayed inventory data updates. It is difficult to meet the needs of refined management in the scenario where on-site consumables personnel follow the goods, and needs to be improved. Summary of the Invention

[0005] To meet the needs of refined management in scenarios where medical consumables are transported with personnel and goods, this invention provides a method and system for full traceability and cost settlement management of medical consumables transported with personnel.

[0006] In a first aspect, the present invention provides a method for full traceability and cost settlement management of medical consumables supplied to Taiwan, employing the following technical solution:

[0007] A method for full traceability and cost settlement management of medical consumables supplied to Taiwan, including:

[0008] Collect surgical scheduling information and the identity information of the personnel assisting in the operation;

[0009] Based on the surgical scheduling information, the identity information of the personnel assisting in the operation is verified online to obtain the qualification verification results;

[0010] When the qualification verification result is passed, the surgeon's electronic signature on the preset consumables list is collected to generate preoperative confirmation information;

[0011] In response to preoperative confirmation information, image information of consumables is acquired;

[0012] Consumables are identified based on their image information to obtain the identification result.

[0013] Based on consumable identification results and surgical scheduling information, generate real-time intraoperative records;

[0014] An electronic settlement statement is generated based on real-time intraoperative recordings and pushed to the terminals of the surgeon, the assistant surgeon, and the surgical nurse to obtain three-party electronic signature confirmation information.

[0015] The system responds to third-party electronic signature confirmation information to complete fee settlement and inventory updates.

[0016] By adopting the above technical solutions, the system ensures personnel compliance through online preoperative verification of the qualifications of the accompanying personnel, achieves preoperative confirmation through the chief surgeon's electronic signature confirmation of the consumable list, ensures the integrity of usage information by collecting images in real time during the operation to identify consumables and generate records, achieves efficient settlement by pushing electronic settlement forms to third-party terminals and obtaining electronic signature confirmation, and finally automatically completes fee settlement and inventory updates, forming a closed loop of the entire process from personnel qualification verification and consumable usage records to fee settlement and inventory management, meeting the refined management needs of the scenario where the accompanying personnel and consumables are carried along.

[0017] Optionally, a method for determining the consumable identification result may also be included:

[0018] The functional areas of the operating table are determined based on surgical scheduling information.

[0019] Determine the current location of the consumable based on the image information of the consumable;

[0020] The functional area of ​​the consumable is determined by combining its current location and functional area division, and the duration of the consumable stays in the functional area is collected.

[0021] Feature extraction is performed on consumables from their image information to obtain their identity information.

[0022] The consumable identification result is obtained by combining the consumable's identity information, the functional area where the consumable is located, and the duration of its stay.

[0023] By adopting the above technical solution, the functional area of ​​the consumable is determined by combining the current location of the consumable with the functional area of ​​the operating table, and the dwell time is collected. The consumable identification result is obtained by combining the consumable identification information. This makes the identification of consumables not only dependent on identification information, but also able to use spatial location and dwell time to help judge the actual use scenario of the consumable, thereby improving the accuracy and scenario relevance of consumable identification.

[0024] Optionally, methods for determining the identity information of consumables may also be included:

[0025] Based on consumable image information, extract global visual features, local detail features, and packaging text features of consumables;

[0026] A fused feature vector is generated by combining global visual features, local detail features, and packaging text features.

[0027] The initial identity information and corresponding identity confidence values ​​are determined based on the fused feature vectors.

[0028] When the identity confidence value is lower than the preset confidence threshold, auxiliary identity information is collected;

[0029] The final consumable identification information is determined based on the auxiliary identification information and the initial identification information.

[0030] By adopting the above technical solution, a fusion feature vector is generated by extracting the global visual features, local detail features and packaging text features of consumables, determining the initial identity information and confidence value, and introducing auxiliary identity information for supplementary confirmation when the confidence is insufficient, thereby realizing multi-feature fusion and multi-source information verification, and improving the reliability and fault tolerance of consumable identity recognition.

[0031] Optionally, methods for generating real-time intraoperative recordings may also be included:

[0032] Acquire multi-view image information;

[0033] The consumable attitude angle is obtained based on multi-view image information;

[0034] The trajectory of the consumable is calculated based on the time sequence of the consumable's attitude angle.

[0035] Extracting consumable movement features based on consumable movement trajectories;

[0036] The presence or movement characteristics of consumables are combined to determine whether they are in use.

[0037] When consumables are in use, the current surgical stage is determined based on surgical scheduling information;

[0038] Based on the consumable identification results and the current surgical stage, establish the correlation between consumable usage and surgical steps;

[0039] Based on the correlation, generate real-time intraoperative records that include the time point of consumable use, surgical stage, and operator.

[0040] By adopting the above technical solution, the posture angle of consumables is obtained through multi-view image information and the motion trajectory is calculated. The motion features are extracted and combined with functional areas to determine the usage status of consumables. Then, the correspondence between the use of consumables and surgical steps is established by associating them with the surgical stage, and a real-time record containing time points, surgical stages and operators is generated, so as to realize the automated perception and refined recording of the use of consumables during surgery.

[0041] Optionally, a dynamic authorization method for on-site personnel can also be included:

[0042] Surgical scheduling information is used to determine the type of surgery and the level of surgical risk.

[0043] Match the required qualifications of the personnel assisting with the procedure based on the type and risk level of the surgery.

[0044] The scope of authorization is determined by comparing the qualification verification results with the qualification requirements.

[0045] Temporary operating permissions for staff are generated based on the scope of authorization.

[0046] By adopting the above technical solution, qualification requirements are matched according to the type of surgery and risk level. The qualification verification results are judged to determine the scope of authorization based on the compliance with the requirements, and temporary operation permissions are generated. This enables the dynamic allocation of permissions for on-site personnel, ensuring that personnel qualifications are accurately matched with surgical needs, and improving surgical safety and the flexibility of authorization management.

[0047] Optionally, a method for dynamically updating intraoperative consumable inventory may also be included:

[0048] Based on the consumable identification results, determine the type and quantity of consumables used;

[0049] Retrieve current inventory based on consumable type;

[0050] The updated inventory level is calculated by subtracting the current inventory level from the quantity used.

[0051] When the updated inventory level falls below the preset replenishment threshold, a replenishment prompt message is generated.

[0052] By adopting the above technical solution, the type and quantity of consumables used can be determined by understanding the consumable identification results. The updated inventory can be calculated in real time and a replenishment prompt can be generated when it falls below the replenishment threshold. This enables dynamic updating and proactive early warning of intraoperative consumable inventory, avoids the impact of insufficient inventory on the surgical process, and improves the timeliness and accuracy of inventory management.

[0053] Optionally, methods for automatically generating surgical procedures are also included:

[0054] It collects audio signals from the operating room environment, video image signals from the surgical area, real-time operating parameters of intelligent surgical instruments, and patient condition characteristics.

[0055] Determining instrument type and operating status based on audio signals;

[0056] Based on video image signals, identify the appearance, location, and interaction relationships of instruments;

[0057] Determine real-time workload and performance status based on real-time operating parameters;

[0058] By aligning and integrating device type, working status, device appearance, device location, device interaction relationship, real-time workload, and performance status in the time dimension, the fine operation steps currently being executed can be identified and the corresponding operation timestamps can be recorded.

[0059] Based on detailed operational steps, a sequence of operational steps already performed in the current surgery is generated;

[0060] Combining the sequence of procedures, patient condition characteristics, and type of surgery to predict subsequent procedures;

[0061] Electronic surgical records are generated based on instrument usage records, detailed operating procedures, and operation timestamps, following a preset surgical record template.

[0062] By adopting the above technical solution, through multimodal information collection and fusion, the fine operation steps currently being performed are identified and timestamps are recorded, a sequence of executed operation steps is generated, and subsequent steps are predicted in combination with the patient's condition and the type of surgery. Finally, an electronic surgical record is generated according to the template, realizing the automated perception, recording and prediction of the surgical process, reducing the recording burden of medical staff, and improving the completeness and standardization of surgical records.

[0063] Optional, intraoperative risk warning methods may also be included:

[0064] The real-time operating parameters are compared with the preset normal operating parameter threshold range to determine whether abnormal fluctuations occur.

[0065] When abnormal fluctuations occur, the operational risk level is determined by combining real-time operating parameters, normal operating parameter threshold ranges, and detailed operating procedures.

[0066] The system generates early warning instructions based on the operational risk level, provides early warning prompts based on these instructions, and generates early warning trigger records.

[0067] By adopting the above technical solution, abnormal fluctuations can be identified by comparing real-time working parameters with normal threshold ranges. Combined with detailed operating procedures, the risk level can be determined and early warning instructions can be generated for prompting. At the same time, early warning trigger information is recorded, so as to realize the proactive identification and graded early warning of intraoperative risks, thereby improving surgical safety and risk response capabilities.

[0068] Optional, postoperative quality analysis methods may also be included:

[0069] Collect historical operation step sequences;

[0070] Cluster analysis was performed on the sequence of operation steps and the sequence of historical operation steps to determine the deviation of the operation path in this surgery.

[0071] The consistency score of the procedure is determined based on the deviation of the operation path.

[0072] The frequency of warnings triggered and the duration of warning response for this surgery will be statistically analyzed based on the warning trigger records.

[0073] The score for intraoperative emergency response capability is calculated based on the frequency of early warning triggering and the duration of early warning response.

[0074] A comprehensive surgical quality assessment report is generated by combining the surgical procedure consistency score and the intraoperative emergency management ability score.

[0075] By adopting the above technical solution, the deviation of the operation path is obtained by clustering analysis of the current operation sequence and historical sequences, the consistency score of the surgical procedure is determined, and the emergency handling capability score is calculated by combining the frequency of early warning triggers and response time. A comprehensive surgical quality assessment report is generated, realizing the quantitative analysis and comprehensive evaluation of postoperative quality, and providing data support for surgical quality improvement.

[0076] Secondly, this application provides a full-process traceability and cost settlement management system for medical consumables sold in Taiwan, employing the following technical solution:

[0077] A full-process traceability and cost settlement management system for medical consumables supplied to Taiwan includes:

[0078] The data collection module is used to collect surgical scheduling information, the identity information of the personnel assisting in the operation, and electronic signatures.

[0079] The memory is used to store the program that implements a method for full traceability and cost settlement management of medical consumables.

[0080] The processor is used to load and execute programs stored in memory.

[0081] In summary, this application includes at least one of the following beneficial technical effects:

[0082] 1. The system ensures personnel compliance by verifying the qualifications of on-site personnel online before surgery, confirms the consumable list through the chief surgeon's electronic signature, ensures complete usage information by collecting images in real time during surgery to identify consumables and generate records, achieves efficient settlement by pushing electronic settlement forms to third-party terminals and obtaining electronic signature confirmation, and finally automatically completes fee settlement and inventory updates. This forms a closed loop of the entire process from personnel qualification verification and consumable usage records to fee settlement and inventory management, meeting the refined management needs of on-site consumable personnel following the goods.

[0083] 2. By acquiring the posture angle of consumables and calculating their motion trajectory through multi-view image information, extracting motion features and combining them with functional areas to determine the usage status of consumables, and then establishing a correspondence between consumable usage and surgical steps in relation to the surgical stage, a real-time record containing time points, surgical stages and operators is generated, realizing automated perception and refined recording of consumable usage during surgery.

[0084] 3. By collecting and fusing multimodal information, the system identifies the currently executed detailed operation steps and records the timestamps, generates a sequence of executed operation steps, predicts subsequent steps based on the patient's condition and the type of surgery, and finally generates an electronic surgical record according to the template. This achieves automated perception, recording, and prediction of the surgical process, reduces the recording burden on medical staff, and improves the completeness and standardization of surgical records. Attached Figure Description

[0085] Figure 1 This is a flowchart illustrating a method for full-process traceability and cost settlement management of medical consumables in Taiwan. Detailed Implementation

[0086] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments.

[0087] Reference Figure 1 This application discloses a method for full traceability and cost settlement management of medical consumables supplied to Taiwan, including the following steps:

[0088] S10: Collect surgical scheduling information and the identity information of the personnel assisting in the operation.

[0089] Surgical scheduling information refers to a data set pre-arranged by the hospital information system, containing all surgeries scheduled for the day. Specifically, it includes: surgery number, surgery type, operating room number, scheduled surgery time, attending physician's identifier, patient identifier, patient basic information, and a list of consumable requirements. This information is automatically retrieved by the system from the HIS interface on a regular schedule.

[0090] The identity information of the personnel assisting in the operation refers to the identification data of the personnel designated by the medical device supplier to provide technical support during the operation. Specifically, this includes: the personnel's name, ID number, professional qualification certificate number, supplier affiliation, and the authorized operation number for this specific procedure. This information is entered into the system by the personnel upon arrival at the hospital using facial recognition on a mobile device.

[0091] S11: Based on the surgical scheduling information, the identity information of the personnel assisting in the operation is verified online to obtain the qualification verification results.

[0092] The qualification verification result refers to the conclusion reached by the system after comparing the identity information of the personnel assisting in the operation with the national medical personnel qualification database and the hospital supplier management system in real time, regarding whether the personnel are qualified to participate in the operation. This result includes two dimensions: verification of identity authenticity and verification of qualification compliance. When verification is successful, the result is "Pass" with a verification timestamp; when verification fails, the result is "Fail" with the reason for failure.

[0093] After collecting the surgical scheduling information and the identity information of the accompanying personnel, online qualification verification is required for subsequent steps.

[0094] S12: When the qualification verification result is that the verification is passed, collect the electronic signature of the chief surgeon on the preset consumables list to generate preoperative confirmation information.

[0095] The consumables list is a detailed list of all consumables expected to be used during the current surgery, intelligently recommended by the system based on the type of surgery and confirmed by the surgeon. This list includes the consumable name, specifications, manufacturer, quantity, and whether it is a critical consumable.

[0096] An electronic signature is a digital credential used by the surgeon via their dedicated mobile terminal to confirm the contents of a consumables list, using handwriting, fingerprint, or a key. This signature is linked to the surgeon's GPS location, terminal ID, and timestamp at the time of signing.

[0097] Preoperative confirmation information refers to a comprehensive data package generated by the system after the surgeon completes the electronic signature, used to lock the consumables plan for this surgery. This information includes: the signed consumables list, the surgeon's identification, the confirmation timestamp, and a unique traceability code that will be used throughout the entire surgical process.

[0098] Once the qualification verification result is passed, the surgeon's electronic signature on the consumables list needs to be collected to generate preoperative confirmation information for subsequent steps.

[0099] S13: Acquire consumable image information in response to preoperative confirmation information.

[0100] Consumable image information refers to digital image data acquired during surgery by photographing consumables and their packaging using antibacterial mobile terminals deployed in the surgical area. This information includes: an overall image of the consumable's appearance, close-up images of the QR code / barcode on the consumable packaging, and magnified images of the text area on the consumable label.

[0101] After generating the preoperative confirmation information, it is necessary to collect consumable image information in response to this information for subsequent steps.

[0102] S14: Identify the consumables based on the image information to obtain the consumable identification result.

[0103] Consumable identification results refer to the comprehensive judgment conclusions made by the system after multi-dimensional analysis of consumable image information regarding the identity and usage status of the consumable.

[0104] The specific steps for determining the consumable identification result will be explained in detail in subsequent S20 to S24, and will not be repeated here.

[0105] S15: Generate real-time intraoperative records based on consumable identification results and surgical scheduling information.

[0106] Intraoperative real-time recording refers to the instantaneous data entries automatically generated by the system during the operation, which are related to each consumable usage event.

[0107] The specific steps for determining real-time intraoperative recording will be explained in detail in subsequent sections S40 to S47, and will not be repeated here.

[0108] S16: Generate an electronic settlement statement based on real-time intraoperative recordings, and push the electronic settlement statement to the terminals of the surgeon, the assistant surgeon, and the surgical nurse to obtain three-party electronic signature confirmation information.

[0109] An electronic settlement statement is a formal document generated by the system after the operation, which summarizes all real-time records during the operation and automatically calculates and generates the statement for financial settlement, taking into account factors such as the agreed price of consumables and medical insurance policies.

[0110] The tripartite electronic signature confirmation information refers to the set of confirmation data collected and integrated by the system after the chief surgeon, the assistant surgeon, and the surgical nurse have each confirmed the electronic settlement form through their respective terminals.

[0111] After the real-time intraoperative record is generated, an electronic settlement statement needs to be generated based on it and pushed to the third-party terminal to collect the electronic signature confirmation information of the three parties for subsequent steps.

[0112] S17: Respond to third-party electronic signature confirmation information to complete fee settlement and inventory update.

[0113] Cost settlement refers to the process by which the system pushes the electronic settlement form, confirmed by all three parties, to the hospital's financial system and the supplier's settlement system, automatically completing the accounting and payment application. After settlement is completed, the system generates a settlement voucher number and links it to the original surgical record.

[0114] Inventory update refers to the system simultaneously deducting the quantity of consignment inventory held at the hospital based on the actual quantity of consumables used in this surgery, and then synchronizing the updated inventory data to the supplier management system in real time.

[0115] Once the third-party electronic signature confirmation is received, a response must be made to complete the payment settlement and inventory update.

[0116] It also includes the method for determining the results of consumable identification:

[0117] S20: Determine the functional area division of the operating table based on surgical scheduling information.

[0118] Functional area division refers to a data model that pre-divides the physical space of the operating table into several virtual areas with clearly defined functions, based on the surgical types in the current surgical schedule and in accordance with standard operating room layout specifications. These include: a sterile preparation area, a surgical operation area, a temporary storage area, and a contaminated area. Area boundaries are automatically defined by the system based on the 3D model of the operating table and visual recognition algorithms. The area division rules for different surgical types are pre-set and stored in the system by those skilled in the art according to operating room management regulations.

[0119] S21: Determine the current location of the consumable based on the consumable image information.

[0120] The current position of consumables refers to the spatial coordinates of the consumables in the operating table coordinate system, determined at the same moment the consumables image information is acquired through image recognition and analysis. This is achieved by first identifying the consumables outline and operating table reference markers in the image, and then calculating the three-dimensional coordinates of the consumables in the operating table coordinate system based on the mapping relationship between the reference markers and the operating table coordinate system; this is the current position of the consumables.

[0121] S22: Determine the functional area where the consumable is located by combining the current location of the consumable and the functional area division, and collect the time the consumable stays in the functional area where it is located.

[0122] The functional area where the consumable is located refers to the name of the functional area where the consumable is currently located, determined by comparing and matching the current location coordinates of the consumable obtained in S21 with the boundary coordinate ranges of each functional area defined in S20.

[0123] Dwell time refers to the cumulative time a consumable stays in a given functional area from the moment it first enters that area until the current moment. This duration is calculated by continuously tracking the location changes of the same consumable, recording the boundary timestamps of its entry and exit from each functional area, and accumulating these timestamps.

[0124] S23: Extract features from consumable image information to obtain consumable identity information.

[0125] Consumable identification information refers to the set of data that uniquely identifies a consumable after multimodal feature extraction and recognition of its image information. Specifically, it includes the consumable name, specifications, manufacturer, batch number, serial number, and unique traceability code.

[0126] The specific steps for determining the identity information of consumables will be explained in detail in subsequent sections S30 to S34, and will not be repeated here.

[0127] S24: Combine the consumable identification information, the functional area where the consumable is located, and the duration of stay to obtain the consumable identification result.

[0128] Based on preset regional status mapping rules, the current usage status of consumables is determined according to their functional area and duration of use. Finally, the consumable identification information is associated with the current usage status to form a consumable identification result containing the consumable identification identifier and usage status. The regional status mapping rules are preset by those skilled in the art according to operating room management regulations and will not be elaborated here.

[0129] It also includes methods for determining the identity information of consumables:

[0130] S30: Extract global visual features, local detail features, and packaging text features of consumables based on consumable image information.

[0131] Global visual features refer to feature vectors describing the macroscopic appearance of consumables, extracted through a holistic analysis of consumable image information. The consumable image information is input into a pre-trained deep convolutional neural network, and the network's global pooling layer outputs a fixed-dimensional feature vector. This vector encodes macroscopic visual information such as the overall shape of the consumable, its main color distribution, and packaging structure layout. The global feature dimension is pre-defined by those skilled in the art based on the model design and will not be elaborated upon here.

[0132] Local detail features refer to feature vectors that describe the fine structure of consumables, extracted by focusing on key discriminative regions in consumable image information. First, an attention mechanism is used to locate key regions in the consumable image (such as label areas, product identification code areas, interface / connector close-ups, and production batch number printing areas). Then, detail feature maps are extracted from these local regions and converted into fixed-dimensional feature vectors through a pooling layer.

[0133] Packaging text features refer to converting the recognized text content into semantic feature vectors after performing optical character recognition (OCR) on the text regions in the consumable image information. First, the text regions in the consumable image are located; then, an OCR network is used to recognize the text content; finally, a pre-trained language model encodes the recognized text content into a semantic feature vector.

[0134] S31: Combine global visual features, local detail features, and packaging text features to generate a fused feature vector.

[0135] The fusion feature vector refers to the unified feature representation used for final classification obtained by effectively integrating the three heterogeneous features extracted by S30.

[0136] First, global and local features are projected onto the same dimensional space. Then, a fusion weight is learned through a gating attention mechanism, and the projected global and local features are weighted and fused. Subsequently, the packaged text features are fused with this fused feature through another attention gating mechanism, and finally a fused feature vector that integrates visual and text information is generated.

[0137] S32: Determine the initial identity information and the corresponding identity confidence value based on the fused feature vector.

[0138] Initial identity information refers to the consumable category label with the highest probability output after the fused feature vector is input into the classification network. The fused feature vector is input into a multi-class Softmax layer, which outputs a probability distribution vector, where each component corresponds to the probability of a consumable category. The category with the highest probability is taken as the initial identity information.

[0139] The identity confidence score refers to the Softmax output probability of the category corresponding to the initial identity information, and its value ranges from 0 to 1. This value is obtained by directly reading the probability value of the corresponding category in the output of the classification network, reflecting the model's confidence in its recognition results.

[0140] S33: When the identity confidence value is lower than the preset confidence threshold, collect auxiliary identity information.

[0141] The confidence threshold is a critical value pre-set by a person skilled in the art based on the system's requirements for recognition accuracy. This threshold is stored in the system configuration parameters and is used to determine whether the model's output results are sufficiently reliable. If the results fall below this threshold, other verification methods need to be introduced.

[0142] Auxiliary identity information refers to consumable identification credentials obtained through non-visual means.

[0143] When the identity confidence value is lower than the confidence threshold, the system automatically triggers the auxiliary verification mechanism, which obtains the EPC code by scanning the RFID tag on the consumable with an RFID reader, or obtains the product identification code and serial number by scanning the DataMatrix code on the consumable packaging with a QR code scanner, thus collecting auxiliary identity information.

[0144] S34: Determine the final consumable identity information based on the auxiliary identity information and the initial identity information.

[0145] The final consumable identification information refers to the final consumable identifier determined after combining visual recognition results and auxiliary verification results, which is used for recording and settlement.

[0146] First, the auxiliary identity information is matched against the pre-set consumable master database within the system. The consumable master database pre-stores complete information on all qualified consumables, including a one-to-one correspondence between RFID codes, QR code codes, and consumable names, specifications, manufacturers, batch numbers, and serial numbers. During matching, the system uses the code in the auxiliary identity information as the query condition to search the consumable master database. If a unique matching record is found, the consumable information corresponding to that record is used as the auxiliary verification identity, and the auxiliary confidence level is set to 1.0. If multiple records are found or no records are found, the auxiliary verification identity is empty, and the auxiliary confidence level is set to 0. The consumable master database is pre-constructed and stored in the system by those skilled in the art based on product catalog information provided by medical device suppliers.

[0147] Secondly, the initial identity information is compared with the auxiliary verification identity. If they match, the initial identity information is used as the final result. If they do not match, the identity confidence value corresponding to the initial identity information is compared with the auxiliary confidence value, and the one with the higher confidence value is taken as the final result. If the auxiliary identity information cannot be obtained or the auxiliary verification identity is empty, the initial identity information is maintained as the final result, and a low confidence mark is attached for subsequent manual review.

[0148] It also includes methods for generating real-time intraoperative recordings:

[0149] S40: Acquire multi-view image information.

[0150] Multi-view image information refers to multiple image data from different angles that are simultaneously captured by multiple cameras deployed at different locations in the surgical area during the use of consumables.

[0151] S41: Obtain the consumable attitude angle based on multi-view image information.

[0152] The consumable attitude angle refers to the angle data describing the orientation of the consumable in three-dimensional space. By performing stereo matching and three-dimensional reconstruction on multi-view images, a three-dimensional model of the consumable in space is obtained. Then, this model is registered with the standard three-dimensional template of the consumable (pre-set by those skilled in the art) to calculate the current attitude angle.

[0153] S42: Calculate the consumable's motion trajectory based on the time sequence of the consumable's attitude angle.

[0154] The consumable movement trajectory refers to the path curve formed by the change of the spatial position of the consumable on the operating table over time. The three-dimensional spatial coordinates of the consumable obtained through S41 at consecutive time points are connected in chronological order to form a sequence of coordinate points and timestamps, which is the consumable movement trajectory.

[0155] S43: Extract consumable motion features based on consumable motion trajectory.

[0156] Consumable movement characteristics refer to quantitative indicators extracted from the consumable movement trajectory to characterize the consumable movement pattern. Specifically, these include average movement speed and movement smoothness. Average movement speed is obtained by calculating the ratio of the total trajectory length to the total time, and movement smoothness is obtained by calculating the variance of the acceleration change between adjacent points on the trajectory.

[0157] S44: Combine the functional area where the consumable is located and the movement characteristics of the consumable to determine whether the consumable is in use.

[0158] If the consumable is located in the surgical operating area, and its average movement speed exceeds a preset operating speed threshold while its movement stability is below a preset jitter threshold, then the consumable is determined to be in use; otherwise, it is determined to be in a non-use state. The preset thresholds are set in advance by those skilled in the art according to the type of surgery, and will not be elaborated here.

[0159] S45: When consumables are in use, determine the current surgical stage based on surgical scheduling information.

[0160] The current surgical stage refers to the specific steps and nodes in the surgical process.

[0161] Specifically, it is obtained in the following way: a pre-set standard surgical procedure timeline is extracted from the surgical scheduling information. This timeline is pre-set and stored in the system by those skilled in the art based on clinical pathways and expert experience; at the same time, the surgical start timestamp is obtained, and the time difference between the current time and the surgical start time is calculated; the time difference is compared with the expected time range of each step in the timeline to finally determine the current surgical stage.

[0162] Once it is determined that the consumables are in use, the current stage of the surgery must be identified in order to facilitate subsequent steps.

[0163] S46: Establish a correlation between consumable usage and surgical procedures based on consumable identification results and the current surgical stage.

[0164] Association refers to the logical mapping that binds specific consumable usage events to macroscopic surgical steps. Specifically, it involves associating the consumable identification result obtained in S23 with the current surgical stage determined in S45 to form a data entry "XX consumable was used in the XX surgical stage".

[0165] S47: Generate real-time intraoperative records based on association relationships, including consumable usage time points, surgical stages, and operators.

[0166] Based on the association established in S46, the current timestamp is added as the time point of consumable usage, and the current operator's identifier is added to form a complete real-time intraoperative record containing consumable information, usage time point, surgical stage, and operator.

[0167] It also includes dynamic authorization methods for personnel accompanying the Taiwan team:

[0168] S50: Determine the type of surgery and the level of surgical risk based on surgical scheduling information.

[0169] The type of surgery refers to the classification identifier of the category to which this surgery belongs, determined by the surgery name and ICD code in the surgery scheduling information, such as "coronary artery bypass grafting" or "total knee replacement".

[0170] Surgical risk level is an indicator automatically calculated by the system based on factors such as the type of surgery, patient condition (e.g., ASA classification), and surgery duration, used to measure the overall risk level of a surgery. Common classifications include Level 1 (routine surgery), Level 2 (high-risk surgery), and Level 3 (extremely high-risk surgery). This level is pre-set and stored in the system by those skilled in the art according to hospital management regulations.

[0171] S51: Match the required qualifications of the accompanying personnel based on the type of surgery and the level of surgical risk.

[0172] Qualification requirements refer to the combination of qualifications required to participate in a specific surgery. For example, for a level 3 risk coronary artery bypass surgery, qualification requirements include: possessing a "Certificate of Completion of Cardiovascular Interventional Device Operation Training," having at least "50 cardiac surgeries performed under supervision," and being "registered with the hospital." These requirements are pre-existing in the hospital's surgical qualification matching rule database and are set in advance by the medical management department according to industry standards and internal hospital regulations.

[0173] Once the type of surgery and the level of surgical risk are obtained, the required qualifications of the accompanying personnel must be matched based on these two factors for subsequent steps.

[0174] S52: Determine the scope of authorization by comparing the qualification verification results with the qualification requirements.

[0175] The scope of authorization refers to the boundaries of the operational authority that the person is allowed to perform in this surgery, which are ultimately determined based on the degree to which the qualifications actually possessed by the person assisting in the operation match the qualification requirements required for the surgery.

[0176] The qualification verification results obtained in step S11 (including the personnel's actual professional qualifications, training records, authorization history, etc.) are compared with the qualification requirements matched in step S51 item by item. If all requirements are met, the scope of authorization is "full operation support"; if some requirements are met, the scope of authorization is determined based on the met items, such as "limited to device transfer, no independent operation of high-value consumables"; if no requirements are met, the scope of authorization is "no operation authority".

[0177] S53: Generate temporary operating permissions for staff based on the scope of authorization.

[0178] Temporary operation permission refers to a time-limited digital permission token that is bound to this surgery.

[0179] Based on the authorization scope defined in S52, the system generates a corresponding permission configuration file. This file contains a list of allowed consumable types, allowed operation types (such as "scanning record" and "confirm use"), and the validity period of the permission (usually set to 2 hours after the scheduled end time of the surgery). This permission token is issued to the mobile terminal of the staff member assisting with the procedure and takes effect after logging into the system. Operations exceeding the permission scope will be blocked by the system.

[0180] It also includes a method for dynamically updating the inventory of intraoperative consumables:

[0181] S60: Based on the consumable identification results, determine the type and quantity of consumables used.

[0182] Consumable type refers to the classification identifier of the category to which a consumable belongs, such as "drug-eluting stent," "suture," and "electrocautery hook." By parsing the consumable identification results to obtain the consumable's identity information, and then matching the consumable name in the identity information with a pre-set consumable classification mapping table within the system, the corresponding consumable type is obtained. The consumable classification mapping table stores the correspondence between consumable names and consumable types; this mapping table is pre-constructed and stored in the system by those skilled in the art based on medical device classification standards.

[0183] The usage quantity refers to the total number of consumables of a certain type that were consumed during the surgery, categorized by type and marked as "used" in the consumable identification results. Specifically, it is obtained by summing the number of entries of the same consumable type with a "used" status in the real-time intraoperative records.

[0184] S61: Retrieve current inventory based on consumable type.

[0185] Current inventory refers to the real-time available quantity of this type of consumable in the central warehouse as of the current moment. The system uses the consumable type code as a query condition, connects to the hospital's SPD system interface, and retrieves the corresponding real-time inventory value from the inventory database.

[0186] S62: Calculate the difference between the current inventory level and the quantity used to obtain the updated inventory level.

[0187] The updated inventory level refers to the value of remaining inventory after deducting the quantity of this type of consumables used in this surgery from the current inventory level.

[0188] S63: When the updated inventory level is lower than the preset replenishment threshold, a replenishment prompt message is generated.

[0189] The replenishment threshold is the minimum inventory level set in advance by the warehouse manager based on the consumption rate and procurement cycle of consumables, used to trigger a replenishment alert. This threshold is stored in the system configuration parameters, and different replenishment thresholds can be set for different types of consumables.

[0190] Replenishment alerts are warnings automatically generated by the system when updated inventory levels fall below the replenishment threshold. These alerts notify the purchasing department and suppliers to replenish stock. The information includes the consumable name, consumable type, current inventory level, recommended replenishment quantity, and associated surgery number.

[0191] It also includes methods for automatically generating surgical procedures:

[0192] S70: Collects audio signals from the operating room environment, video image signals from the surgical area, real-time operating parameters of intelligent surgical instruments, and patient condition characteristics.

[0193] Audio signals refer to continuous audio stream data collected by a microphone array deployed in the operating room, which includes voice commands from medical staff, sounds of instruments working, and environmental noise.

[0194] Video image signals refer to high-definition video stream data that covers the entire surgical process and is collected from multiple video sources, such as shadowless lamp integrated cameras, surgical boom cameras, and surgical field cameras.

[0195] Real-time operating parameters refer to data packets reflecting the operating status and performance of intelligent surgical instruments that are wirelessly transmitted in real time, possessing sensing and communication capabilities. Specifically, these parameters are obtained by the intelligent surgical instruments' built-in sensors collecting them in real time and transmitting them to the system via Bluetooth.

[0196] Patient condition characteristics refer to the physiological and pathological indicators of patients that are relevant to surgical decisions, extracted from surgical scheduling information. The system parses patient identifiers from surgical scheduling information and uses these identifiers as indexes to retrieve corresponding condition data from the hospital's electronic medical record system.

[0197] S71: Determine the instrument type and operating status based on audio signals.

[0198] Device type refers to the category of the device currently emitting sound, identified from the audio signal using voiceprint recognition technology. The collected audio signal is input into a pre-trained voiceprint recognition model, which is trained based on the characteristic audio data of different devices in different operating modes. The model outputs the most matching device type label through feature comparison.

[0199] Operating status refers to the current operating mode of the device, determined based on the duration, rhythm, and spectral characteristics of the audio signal. Specifically, it is obtained as follows: after identifying the device type, the system inputs the audio segment into the corresponding device's operating status classifier, outputting the current operating mode label.

[0200] S72: Identify the appearance, position, and interaction of instruments based on video image signals.

[0201] Medical device appearance refers to the visual features of a medical device identified from video images using a visual recognition model. These features include the device's model number, color markings, and whether it has any special accessories. Specifically, video frames are input into a target detection network to identify the medical device region in the image. Then, appearance features are extracted from this region and compared with a pre-stored medical device appearance database (pre-defined by those skilled in the art) to output a description of the medical device's appearance.

[0202] Instrument position refers to the precise coordinates of the instrument tip in the three-dimensional space of the surgical area. Specifically, by using multi-view vision combined with depth estimation technology, the instrument in the video image is located in three dimensions, and its three-dimensional coordinate values ​​in the operating table coordinate system are output.

[0203] Instrument interaction refers to visually identifiable phenomena that occur when an instrument comes into contact with human tissue, including cutting, coagulation, grasping, and anastomosis. Specifically, by analyzing the dynamic changes of the tissue surrounding the instrument tip in video images, this data is input into a motion recognition network, which then outputs the type of interaction that is currently occurring.

[0204] S73: Determines real-time workload and performance status based on real-time operating parameters.

[0205] Real-time workload refers to the output intensity of the instrument at the current moment, including the real-time output power of the electrosurgical unit, the vibration amplitude of the ultrasonic scalpel, and the instantaneous force value when the stapler is fired. The corresponding power, force, and other parameter values ​​are directly parsed from the real-time workload parameter data package.

[0206] Performance status refers to whether the instrument performs normally under the current workload, and is determined by comparing it with a standard operating curve. The current real-time workload is compared with preset normal operating parameter threshold ranges; if it is within the range, it is considered "normal"; if it exceeds the range, it is considered "abnormal," and the degree of deviation is recorded.

[0207] S74: By aligning and integrating instrument type, working status, instrument appearance, instrument location, instrument interaction relationship, real-time workload, and performance status in the time dimension, it identifies the fine-grained operation steps currently being executed and records the corresponding operation timestamps.

[0208] The fine-grained surgical procedures refer to the basic action units that constitute the surgery, including "electrocoagulation of the lesser curvature of the stomach vessels," "ultrasonic scalpel transection of the gastrocolic ligament," and "anastomosis of the duodenum using a stapler." Specifically, these procedures are obtained as follows: First, all modal data are aligned according to the same timestamp to form a multi-dimensional feature vector sequence. Then, this sequence is input into a Transformer-based temporal action recognition model. This model, pre-trained with a large amount of surgical video and instrument data, outputs the most likely fine-grained surgical procedure label within the current time window.

[0209] Operation timestamps refer to the start and end times of a fine-grained operation step that are identified. When the model continuously outputs the same step label for more than a preset duration (e.g., 2 seconds), the start and end times of this continuous segment are recorded as operation timestamps.

[0210] S75: Generate a sequence of operational steps performed in the current surgery based on detailed operational steps.

[0211] A sequence of procedures refers to a list of all identified detailed procedures arranged chronologically from the start of the surgery to the present moment.

[0212] The system maintains a dynamic list. Whenever S74 identifies a new fine-grained operation step, it appends the step and its operation timestamp to the end of the list, forming a continuously growing sequence of steps.

[0213] S76: Combine the sequence of procedures, patient condition characteristics, and surgical type to predict subsequent procedures.

[0214] Subsequent procedures refer to the 1 to 3 detailed procedures that are most likely to be performed next, based on the current progress of the surgery and the individual patient's condition.

[0215] The sequence of currently executed operation steps, the surgical type label, and the patient's condition feature vector are input into an LSTM-based sequence prediction model. The model outputs the probability distribution of subsequent steps, and the 1 to 3 steps with the highest probability are taken as the prediction results.

[0216] S77: Generate electronic surgical records based on instrument usage records, detailed operating procedures, and operation timestamps according to a preset surgical record template.

[0217] A surgical record template is a standard format document developed by the hospital's medical affairs department to standardize the writing of surgical records. It includes sections such as basic surgical information, surgical indications, description of the surgical procedure, special intraoperative circumstances, instrument usage list, and specimen description. This template is pre-set and stored in the system by a person skilled in the art in accordance with medical documentation standards.

[0218] Electronic surgical records refer to intelligent documents that conform to medical documentation standards, generated by the system automatically filling all data collected and identified during the operation into a surgical record template.

[0219] The system first obtains detailed operation steps and operation timestamps from S74, and detailed data related to instrument use from S71 to S73; then, according to the chapter structure of the surgical record template, it converts the above data into natural language descriptions and fills them into the corresponding positions; finally, it generates a structured electronic document containing text descriptions, key image captures, and instrument use parameters, which can be directly imported into the electronic medical record system.

[0220] It also includes intraoperative risk warning methods:

[0221] S80: Compare the real-time operating parameters with the preset normal operating parameter threshold range to determine whether abnormal fluctuations occur.

[0222] Normal operating parameter threshold ranges refer to the upper and lower limit value ranges of parameters that characterize the normal operating status of a device, pre-set by the device manufacturer or hospital clinical engineers for each type of intelligent surgical instrument and each operating mode. These threshold ranges are stored in the system configuration parameter library, with different threshold ranges corresponding to different device types and different operating modes.

[0223] The system extracts the current value from the real-time operating parameters and compares it with the lower and upper limits of the normal operating parameter threshold range. If the current value is lower than the lower limit or higher than the upper limit, it is determined to be an abnormal fluctuation; if the current value is within the threshold range, it is determined to be normal.

[0224] S81: When abnormal fluctuations occur, the operational risk level is determined by combining real-time operating parameters, normal operating parameter threshold ranges, and detailed operating procedures.

[0225] Operational risk level refers to the quantitative classification of the degree of risk that an abnormal fluctuation may pose to patient safety within the context of the current operational procedure. It typically includes three levels: low risk, medium risk, and high risk. Specifically, it is obtained through the following methods:

[0226] First, the deviation of real-time operating parameters from a preset threshold range is calculated, i.e., the absolute value of the difference between the abnormal parameter value and the threshold boundary. Second, the fine-grained operational steps currently being executed are obtained from step S74. Then, the deviation and fine-grained operational steps are input into a preset risk mapping table for matching. This mapping table is pre-defined and stored in the system by clinical experts based on experience and safety standards, and defines the risk levels corresponding to different deviation ranges and different combinations of operational steps. Finally, the corresponding operational risk level is output based on the matching results.

[0227] S82: Generate early warning instructions based on the operational risk level, provide early warning prompts based on the early warning instructions, and generate early warning trigger records.

[0228] Warning commands are specific control signals used to control the response of terminal equipment in the operating room, determined according to the level of operational risk. Warning commands include parameters such as warning level identifier (e.g., low, medium, high), warning method (e.g., screen flashing, sound prompt, vibration), warning content (e.g., prompt text, voice broadcast text), and whether operation needs to be blocked.

[0229] Based on the operational risk level determined by S81, the system retrieves the corresponding instruction template from the preset warning instruction mapping table and then generates specific warning instructions in combination with the current surgical information.

[0230] The warning trigger record refers to the data entry automatically generated and stored by the system each time a warning is triggered, used for subsequent intraoperative risk statistics and postoperative quality analysis. This record includes: the warning trigger time, the operational risk level, the detailed operational steps taken at the time, a snapshot of relevant real-time working parameters, and the doctor's response method. Simultaneously with the execution of the warning notification, the system automatically collects the above information and combines it into a structured record, which is stored in the system log database.

[0231] After generating the warning instruction, a warning prompt must be issued based on the warning instruction, and a warning trigger record must be generated.

[0232] It also includes postoperative quality analysis methods:

[0233] S90: Collect the sequence of historical operation steps.

[0234] Historical operation procedure sequence refers to a set of detailed operation steps retrieved from the system database and extracted from electronic surgical records of similar previous surgeries.

[0235] Specifically, this is achieved through the following method: using the current surgical type as the query condition, all completed surgical records of the same type marked as "high-quality" or "standard" are retrieved from the system database. The operation step sequence generated by S75 is extracted from each record to form a historical operation step sequence database. This database is continuously accumulated and maintained by those skilled in the art based on clinical data.

[0236] S91: Perform cluster analysis on the sequence of operation steps and the sequence of historical operation steps to determine the deviation of the operation path in this operation.

[0237] Operation path deviation is a quantitative indicator of the difference between the sequence of operation steps in this surgery and the typical operation path of similar surgeries. Specifically, it is obtained as follows: First, the operation step sequence generated by S75 is aligned and clustered with the historical operation step sequences collected by S90 to extract the typical operation path representing this type of surgery (i.e., the sequence of steps with the highest frequency); then, the edit distance between the current surgical sequence and the typical operation path is calculated, and the result is normalized as the operation path deviation. The deviation ranges from 0 to 1, with a larger value indicating a more severe deviation.

[0238] S92: Determine the procedure consistency score based on the deviation of the operation path.

[0239] The surgical procedure consistency score is a score used to measure whether the surgical procedure conforms to the standard surgical procedure, with a value ranging from 0 to 100. Specifically, it is obtained by substituting the deviation of the surgical path obtained in S91 into a preset scoring conversion formula: Surgical Procedure Consistency Score = 100 × (1 - Deviance of Surgical Path). This scoring conversion rule is preset by a person skilled in the art based on clinical evaluation standards.

[0240] S93: Based on the warning trigger records, the frequency of warning triggers and the duration of warning response for this surgery are statistically analyzed.

[0241] The frequency of warning triggers refers to the total number of warning events that occur during the entire surgical procedure, as well as the number of events categorized by risk level. Specifically, it is obtained by retrieving all warning trigger records for this surgery from the system log database, counting the number of records to obtain the total frequency, and then grouping and counting by the operation risk level field to obtain the frequency for each level.

[0242] The warning response time refers to the time interval between the warning being triggered and the doctor's response to the warning (such as confirmation, ignoring, or pausing the operation). Specifically, it is obtained as follows: For each warning trigger record, the warning trigger timestamp and the doctor's response timestamp are extracted from the record, the time difference between the two is calculated, and the average value is taken as the warning response time for this surgery.

[0243] S94: Calculate the intraoperative emergency response capability score based on the frequency of early warning triggering and the duration of early warning response.

[0244] The intraoperative emergency response capability score is a quantitative score used to measure the surgical team's ability to handle intraoperative abnormal situations, ranging from 0 to 100. Specifically, it is obtained through the following method: The system has pre-set emergency response capability scoring rules, which are pre-defined by those skilled in the art based on hospital quality management requirements. For example, the base score is set at 100 points, with 20 points deducted for each high-risk warning, 10 points for a medium-risk warning, and 2 points for a low-risk warning; additionally, for every second the warning response time exceeds the preset standard response time (e.g., 5 seconds), an additional 1 point is deducted. The warning trigger frequency and warning response time statistics from S93 are substituted into these rules to calculate the final intraoperative emergency response capability score.

[0245] S95: Combine surgical consistency score and intraoperative emergency management ability score to generate a comprehensive surgical quality assessment report.

[0246] A comprehensive surgical quality assessment report is a multi-dimensional analytical document that integrates the two scores mentioned above, along with other relevant indicators, to comprehensively evaluate the quality of the surgery. Specifically, it is obtained as follows: First, the surgical consistency score obtained from S92 and the intraoperative emergency management capability score obtained from S94 are used as core indicators; then, auxiliary indicators such as surgical duration, blood loss, and cost-effectiveness of consumable usage are extracted from the surgical record; finally, following a pre-set report template format, the above indicators are organized in the form of charts and text descriptions to generate a structured PDF document for doctors to review and archive.

[0247] Based on the same inventive concept, embodiments of the present invention provide a full-process traceability and cost settlement management system for medical consumables supplied to Taiwan, comprising:

[0248] The data acquisition module is used to collect surgical scheduling information, the identity information of the personnel assisting in the operation, electronic signatures, consumable image information, dwell time, auxiliary identity information, multi-view image information, audio signals, video image signals, real-time working parameters, patient condition characteristics, and historical operation step sequences.

[0249] The memory is used to store the program that implements a method for full traceability and cost settlement management of medical consumables.

[0250] The processor is used to load and execute programs stored in memory.

[0251] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0252] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A method for full-process traceability and cost settlement management of medical consumables supplied to Taiwan, characterized in that, include: Collect surgical scheduling information and the identity information of the personnel assisting in the operation; Based on the surgical scheduling information, the identity information of the personnel assisting in the operation is verified online to obtain the qualification verification results; When the qualification verification result is passed, the surgeon's electronic signature on the preset consumables list is collected to generate preoperative confirmation information; In response to preoperative confirmation information, image information of consumables is acquired; Consumables are identified based on their image information to obtain the identification result. Based on consumable identification results and surgical scheduling information, generate real-time intraoperative records; An electronic settlement statement is generated based on real-time intraoperative recordings and pushed to the terminals of the surgeon, the assistant surgeon, and the surgical nurse to obtain three-party electronic signature confirmation information. The system responds to third-party electronic signature confirmation information to complete fee settlement and inventory updates.

2. The method for full traceability and cost settlement management of medical consumables supplied to patients in Taiwan according to claim 1, characterized in that, It also includes the method for determining the results of consumable identification: The functional areas of the operating table are determined based on surgical scheduling information. Determine the current location of the consumable based on the image information of the consumable; The functional area of ​​the consumable is determined by combining its current location and functional area division, and the duration of the consumable stays in the functional area is collected. Feature extraction is performed on consumables from their image information to obtain their identity information. The consumable identification result is obtained by combining the consumable's identity information, the functional area where the consumable is located, and the duration of its stay.

3. The method for full traceability and cost settlement management of medical consumables supplied to patients in Taiwan according to claim 2, characterized in that, It also includes methods for determining the identity information of consumables: Based on consumable image information, extract global visual features, local detail features, and packaging text features of consumables; A fused feature vector is generated by combining global visual features, local detail features, and packaging text features. The initial identity information and corresponding identity confidence values ​​are determined based on the fused feature vectors. When the identity confidence value is lower than the preset confidence threshold, auxiliary identity information is collected; The final consumable identification information is determined based on the auxiliary identification information and the initial identification information.

4. The method for full traceability and cost settlement management of medical consumables supplied to patients in Taiwan according to claim 2, characterized in that, It also includes methods for generating real-time intraoperative recordings: Acquire multi-view image information; The consumable attitude angle is obtained based on multi-view image information; The trajectory of the consumable is calculated based on the time sequence of the consumable's attitude angle. Extracting consumable movement features based on consumable movement trajectories; The presence or movement characteristics of consumables are combined to determine whether they are in use. When consumables are in use, the current surgical stage is determined based on surgical scheduling information; Based on the consumable identification results and the current surgical stage, establish the correlation between consumable usage and surgical steps; Based on the correlation, generate real-time intraoperative records that include the time point of consumable use, surgical stage, and operator.

5. The method for full traceability and cost settlement management of medical consumables supplied to patients in Taiwan according to claim 1, characterized in that, It also includes dynamic authorization methods for personnel accompanying the Taiwan team: Surgical scheduling information is used to determine the type of surgery and the level of surgical risk. Match the required qualifications of the personnel assisting with the procedure based on the type and risk level of the surgery. The scope of authorization is determined by comparing the qualification verification results with the qualification requirements. Temporary operating permissions for staff are generated based on the scope of authorization.

6. The method for full traceability and cost settlement management of medical consumables supplied to patients in Taiwan according to claim 1, characterized in that, It also includes a method for dynamically updating the inventory of intraoperative consumables: Based on the consumable identification results, determine the type and quantity of consumables used; Retrieve current inventory based on consumable type; The updated inventory level is calculated by subtracting the current inventory level from the quantity used. When the updated inventory level falls below the preset replenishment threshold, a replenishment prompt message is generated.

7. The method for full traceability and cost settlement management of medical consumables supplied to patients in Taiwan according to claim 5, characterized in that, It also includes methods for automatically generating surgical procedures: It collects audio signals from the operating room environment, video image signals from the surgical area, real-time operating parameters of intelligent surgical instruments, and patient condition characteristics. Determining instrument type and operating status based on audio signals; Based on video image signals, identify the appearance, location, and interaction relationships of instruments; Determine real-time workload and performance status based on real-time operating parameters; By aligning and integrating device type, working status, device appearance, device location, device interaction relationship, real-time workload, and performance status in the time dimension, the fine operation steps currently being executed can be identified and the corresponding operation timestamps can be recorded. Based on detailed operational steps, a sequence of operational steps already performed in the current surgery is generated; Combining the sequence of procedures, patient condition characteristics, and type of surgery to predict subsequent procedures; Electronic surgical records are generated based on instrument usage records, detailed operating procedures, and operation timestamps, following a preset surgical record template.

8. The method for full traceability and cost settlement management of medical consumables supplied to patients in Taiwan according to claim 7, characterized in that, It also includes intraoperative risk warning methods: The real-time operating parameters are compared with the preset normal operating parameter threshold range to determine whether abnormal fluctuations occur. When abnormal fluctuations occur, the operational risk level is determined by combining real-time operating parameters, normal operating parameter threshold ranges, and detailed operating procedures. The system generates early warning instructions based on the operational risk level, provides early warning prompts based on these instructions, and generates early warning trigger records.

9. The method for full traceability and cost settlement management of medical consumables supplied to patients in Taiwan according to claim 8, characterized in that, It also includes postoperative quality analysis methods: Collect historical operation step sequences; Cluster analysis was performed on the sequence of operation steps and the sequence of historical operation steps to determine the deviation of the operation path in this surgery. The consistency score of the procedure is determined based on the deviation of the operation path. The frequency of warnings triggered and the duration of warning response for this surgery will be statistically analyzed based on the warning trigger records. The score for intraoperative emergency response capability is calculated based on the frequency of early warning triggering and the duration of early warning response. A comprehensive surgical quality assessment report is generated by combining the surgical procedure consistency score and the intraoperative emergency management ability score.

10. A full-process traceability and cost settlement management system for medical consumables supplied to Taiwan, characterized in that, include: The data collection module is used to collect surgical scheduling information, the identity information of the personnel assisting in the operation, and electronic signatures. A memory for storing a program that implements a method for full traceability and cost settlement management of medical consumables as described in any one of claims 1 to 9; The processor is used to load and execute programs stored in memory.

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