Extraneous medical instrument handover record display control method and system, and electronic device

Abstract

This invention provides a method, system, and electronic device for displaying and controlling the handover records of imported medical devices. It relates to the field of display control during the handover process of imported medical devices. The method can automatically integrate the handover data of imported medical devices to obtain a complete handover record image. This image contains a complete list of devices used and can clearly and efficiently display the handover records of imported medical devices. Moreover, the data in the handover record image cannot be modified, thereby greatly improving the reliability and traceability of the handover records.

Description

Technical Field

[0001] This invention relates to the field of display control during the handover process of imported medical devices, and in particular to a method, system, and electronic device for display control of imported medical device handover records. Background Technology

[0002] In the medical device field, external medical devices are provided by medical device suppliers and are not owned by hospitals. In actual use, they must be delivered from the supplier to the hospital user, and after use, external surgical instruments and implantable consumables must be returned to the supplier. Therefore, how to efficiently statistically display the quantity and types involved in the handover process of external medical devices directly affects the efficiency of the handover process.

[0003] In the traditional handover process, the quantity and type of imported medical devices are mainly counted and identified manually. This is not only time-consuming and labor-intensive, but also prone to errors. In addition, the manual counting process mainly relies on filling out paper forms to collect data. However, paper forms are prone to illegible handwriting and can be easily altered, resulting in poor reliability of the handover records.

[0004] In summary, existing technologies for the handover of foreign medical devices still suffer from problems such as non-standard data, low execution efficiency, poor reliability, and difficulty in traceability during the generation and display of handover records. Summary of the Invention

[0005] In view of this, the purpose of the present invention is to provide a method, system and electronic device for displaying and controlling the handover records of imported medical devices. The method can automatically integrate the handover data of imported medical devices to obtain a complete handover record image. The image contains a complete list of devices used and can clearly and efficiently display the handover records of imported medical devices. Moreover, the data in the handover record image cannot be modified, thereby greatly improving the reliability and traceability of the handover records.

[0006] In a first aspect, embodiments of the present invention provide a method for controlling the display of handover records for external medical devices, the method comprising: The order data collection based on imported medical devices includes digital images of multiple imported medical devices; these imported medical devices are provided to the user by the supplier; the digital images are determined based on the hash value corresponding to a copy image of the imported medical device. Identify and acquire the image sub-region corresponding to each foreign medical device in the digital image, and obtain the device feature matching result corresponding to the foreign medical device in the image sub-region based on the preset device type parameters; Based on the feature matching results, determine the quantity of each foreign medical device used in the digital image, generate a device usage list corresponding to the quantity of each device used using the device type parameter, and generate a handover record image corresponding to the foreign medical device using the device usage list. Based on order data, determine the node display strategy for imported medical devices, and control the handover record images to be displayed to the user according to the timeline of the order data through the node display strategy.

[0007] Optionally, the step of collecting digital images of multiple foreign medical devices based on order data corresponding to foreign medical devices includes: Obtain order data for external medical devices based on the corresponding handover order information and identity verification information between the supplier and the user; The image acquisition parameters corresponding to the imported medical devices are determined by order data, and the original acquisition images containing multiple imported medical devices are obtained using the image acquisition parameters. Determine the image ID corresponding to the original acquired image, and determine the metadata corresponding to the external medical device through the order number, node ID, operator ID, device number, and acquisition timestamp contained in the order data; Obtain a copy image corresponding to the original acquired image, scale the copy image to a preset size, and then perform discrete cosine transform calculation to obtain the hash value corresponding to the original acquired image; The digital image corresponding to the foreign medical device is determined based on the original acquired image, metadata, and hash value.

[0008] Optionally, identify and acquire the image sub-region corresponding to each foreign medical device in the digital image, including: Based on metadata, obtain the grayscale calculation weights, contrast limit thresholds, and filter kernel parameters corresponding to the original acquired image in the digital image; After performing grayscale transformation calculation, contrast equalization calculation, and noise reduction calculation on the original acquired image in sequence using grayscale calculation weight, contrast limit threshold, and filter kernel parameters, the preprocessed image corresponding to the original acquired image is obtained. The background segmentation threshold corresponding to the original acquired image is determined by the device type parameter, and the ROI region corresponding to the foreign medical device in the preprocessed image is identified based on the background segmentation threshold. The image sub-region corresponding to each foreign medical device in the digital image is obtained based on the ROI region.

[0009] Optionally, based on preset device type parameters, obtain the device feature matching results corresponding to foreign medical devices in the image sub-region, including: The baseline feature library corresponding to the imported medical device is determined by using preset device type parameters; Obtain the depth feature vector corresponding to the image sub-region, and calculate the cosine similarity between the depth feature vector and the benchmark feature vector corresponding to all foreign medical devices in the benchmark feature library; The device category parameters corresponding to the foreign medical device under the maximum cosine similarity are obtained by using the benchmark feature library, and the device feature matching results corresponding to the foreign medical device in the image sub-region are determined based on the device category parameters.

[0010] Optionally, based on the feature matching results, determine the usage quantity of all foreign medical devices in the digital image, and generate a device usage list corresponding to the usage quantity using the device type parameter, including: Based on the image sub-region corresponding to each foreign medical device, the digital image is traversed, and the classification statistics corresponding to the feature matching results are obtained through metadata. After summarizing and calculating the statistical quantities of each category according to the device category parameters, the usage quantity of all foreign medical devices in the digital image is obtained. Based on the device category parameters, determine the device ID, device name, and device specifications of the imported medical devices, and generate a device usage list corresponding to the device usage quantity using the device usage quantity, image ID, maximum cosine similarity, and coordinate values ​​of the image sub-regions.

[0011] Optionally, a handover record image corresponding to the external medical devices can be generated from the device usage list, including: The supplier's corresponding key is determined based on the order handover information and identity verification information; After signing the hash value using the key, the signature result is sent to the user. Once the user has completed the verification of the signature result, the sample image corresponding to each external medical device and its corresponding usage quantity are determined based on the medical device usage list. Based on order data, sample images, and their corresponding usage quantities, generate handover record images for imported medical devices.

[0012] Optionally, a node display strategy for imported medical devices is determined based on order data. This strategy controls the display of handover record images to the user according to the timeline of the order data, including: Use order data to determine the corresponding handover process nodes between suppliers and users; The timeline corresponding to the order data is determined based on the node handover records, image vouchers, timestamps, and operator information corresponding to the node data in the handover process. The timeline determines the node display strategy for imported medical devices, and the signature results control the display of handover record images from the supplier to the user according to the timeline.

[0013] Optionally, after signing the hash value using the key and sending the signature result to the user, the method further includes: When it is detected that the user is unable to verify the signature result, the abnormal handover image corresponding to the external medical device is determined based on the medical device usage list; Generate handover record images corresponding to the imported medical devices based on order data and abnormal handover images.

[0014] Secondly, the present invention provides a system for displaying and recording the handover of imported medical devices, the system comprising: The digital image acquisition module is used to acquire digital images of multiple external medical devices based on order data corresponding to external medical devices; wherein, the external medical devices are provided to the user by the supplier; the digital images are determined based on the hash value corresponding to the copy image of the external medical device; The feature matching execution module is used to identify and obtain the image sub-region corresponding to each foreign medical device in the digital image, and obtain the device feature matching result corresponding to the foreign medical device in the image sub-region based on the preset device type parameters; The handover record image generation module is used to determine the number of medical devices used for all external medical devices in the digital image based on the feature matching results, generate a medical device usage list corresponding to the number of medical devices used using the medical device type parameter, and generate a handover record image corresponding to the external medical devices through the medical device usage list. The display control execution module is used to determine the node display strategy corresponding to the external medical devices based on the order data, and to control the handover record images to be displayed to the user according to the timeline of the order data through the node display strategy.

[0015] Thirdly, embodiments of the present invention also provide an electronic device, which includes a processor and a memory. The memory stores computer-executable instructions that can be executed by the processor, and the processor executes the computer-executable instructions to implement the steps of the foreign medical device handover record display control method provided in the first aspect.

[0016] This invention provides a method, system, and electronic device for displaying and controlling the handover records of imported medical devices. In the process of displaying and controlling the handover data of imported medical devices, the method first collects digital images containing multiple imported medical devices based on order data corresponding to the imported medical devices. The imported medical devices are provided by the supplier to the user. The digital images are determined based on the hash values ​​corresponding to the duplicate images of the imported medical devices. Then, it identifies and obtains the image sub-region corresponding to each imported medical device in the digital image, and obtains the device feature matching result corresponding to the imported medical device in the image sub-region based on preset device type parameters. Subsequently, it determines the device usage quantity corresponding to all imported medical devices in the digital image based on the feature matching results, generates a device usage list corresponding to the device usage quantity using the device type parameters, and generates the handover record image corresponding to the imported medical devices through the device usage list. Finally, it determines the node display strategy corresponding to the imported medical devices based on the order data, and controls the handover record image to be displayed to the user according to the timeline of the order data through the node display strategy. This method can automatically integrate the handover data of imported medical devices to obtain a complete handover record image. This image contains a complete list of devices used and can clearly and efficiently display the handover record of imported medical devices. Moreover, the data in the handover record image cannot be modified, thereby greatly improving the reliability and traceability of the handover record.

[0017] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention are realized and obtained in accordance with the structures particularly pointed out in the description, claims and drawings.

[0018] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0019] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0020] Figure 1 A flowchart illustrating a method for displaying and controlling the handover record of imported medical devices, provided in an embodiment of the present invention; Figure 2 This is a flowchart of step S101 in a method for displaying and controlling the handover record of an imported medical device provided in an embodiment of the present invention; Figure 3 In step S102 of the method for displaying and controlling the handover record of foreign medical devices provided in an embodiment of the present invention, a flowchart is provided for identifying and acquiring the image sub-region corresponding to each foreign medical device in the digital image; Figure 4 In step S102 of the method for displaying and controlling the handover record of foreign medical devices provided in an embodiment of the present invention, a flowchart is provided for obtaining the device feature matching result corresponding to the foreign medical device in the image sub-region based on the preset device type parameters. Figure 5 In step S103 of the method for displaying and controlling the handover record of foreign medical devices provided in an embodiment of the present invention, the number of devices used corresponding to all foreign medical devices in the digital image is determined according to the feature matching result, and a flowchart is generated using the device type parameter to generate a list of devices used corresponding to the number of devices used. Figure 6 In step S103 of the method for displaying and controlling the handover record of an external medical device provided in an embodiment of the present invention, a flowchart is provided for generating the handover record image corresponding to the external medical device through the device usage list. Figure 7 This is a flowchart of step S104 in a method for displaying and controlling the handover record of an imported medical device provided in an embodiment of the present invention; Figure 8 A flowchart following step S602 is provided in an embodiment of the present invention for a method for displaying and controlling the handover record of an imported medical device. Figure 9 This is a schematic diagram of the structure of a foreign medical device handover record display control system provided in an embodiment of the present invention; Figure 10 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention.

[0021] icon: 100 - Digital image acquisition module; 200 - Feature matching execution module; 300 - Handover record image generation module; 400 - Display control execution module; 101 - Processor; 102 - Memory; 103 - Bus; 104 - Communication interface. Detailed Implementation

[0022] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0023] To facilitate understanding of this embodiment, a method for displaying and controlling the handover record of an imported medical device, as disclosed in this embodiment of the invention, will first be introduced. Figure 1 As shown, the method includes: Step S101: Collect digital images of multiple foreign medical devices based on order data corresponding to the foreign medical devices; wherein, the foreign medical devices are provided to the user by the supplier; the digital images are determined based on the hash value corresponding to the copy image of the foreign medical device.

[0024] Based on order data for imported medical devices, a smart handover workstation collects high-resolution digital images containing multiple imported medical devices at the handover point between the supplier and the user. Notably, the digital images are determined based on the hash values ​​corresponding to duplicate images of the imported medical devices. Before collection, order barcode scanning and identity verification are completed to ensure a strong link between the image and the order, the transfer node, and the operator. During the collection process, automatic exposure adaptation and sharpness verification are performed, generating a unique tamper-proof hash value to ensure the authenticity and traceability of the image as a handover document.

[0025] Step S102: Identify and obtain the image sub-region corresponding to each foreign medical device in the digital image, and obtain the device feature matching result corresponding to the foreign medical device in the image sub-region based on the preset device type parameters.

[0026] After preprocessing the acquired digital images (denoising, contrast enhancement, distortion correction), an instance segmentation algorithm is used to accurately identify and extract the image sub-region (ROI) corresponding to each foreign medical device. The depth feature vector of each sub-region is extracted and matched with the preset device type parameters (standard feature library) using cosine similarity to obtain the matching results of device type and specifications. At the same time, the matching confidence is marked, and an abnormal prompt is triggered for unknown / damaged devices with low confidence.

[0027] Step S103: Determine the quantity of each external medical device used in the digital image based on the feature matching results, generate a device usage list corresponding to the quantity of each device used using the device type parameter, and generate a handover record image corresponding to the external medical devices using the device usage list.

[0028] Based on the feature matching results, the actual usage quantity of all foreign medical devices in the digital image is automatically counted according to device type; a structured device usage list is generated using device type parameters, and each record in the list is strongly bound to the corresponding image sub-region and the original image hash value; the order information, device usage list, original image thumbnail, and anti-tampering mark are integrated to generate an unmodifiable handover record image, which contains complete device details and voucher traceability entry.

[0029] Step S104: Determine the node display strategy corresponding to the external medical device based on the order data, and control the handover record image to be displayed to the user according to the timeline of the order data through the node display strategy.

[0030] Based on order data, the corresponding circulation nodes of external medical devices are determined (such as admission to the hospital, requisition to the operating room, and return after surgery). The display strategies for each node are preset (such as display scope, access control, and interaction methods). The node display strategy controls the display of handover record images to the corresponding user / supplier according to the timeline of the order data. At the same time, it supports viewing the original high-definition vouchers and tracing the entire circulation information according to permissions, ensuring that the display process is compliant, efficient, and traceable.

[0031] Optionally, step S101, which involves collecting digital images of multiple foreign medical devices based on order data corresponding to the foreign medical devices, is as follows: Figure 2 As shown, it includes: Step S201: Obtain the order data corresponding to the external medical devices based on the handover order information and identity verification information between the supplier and the user.

[0032] Based on the order information exchanged between the supplier and the user, and combined with the operator's identity verification information (such as employee badge scanning, facial recognition, or key login), the system performs dual verification of order validity and operation permissions, obtaining legitimate order data corresponding to the current handover scenario. Upon successful verification, it automatically retrieves baseline information from the order, including the list of receivable medical devices, transfer nodes, and the departments of both parties involved in the handover. This provides a unique business basis for subsequent image acquisition, preventing invalid or unauthorized operations.

[0033] Step S202: Determine the image acquisition parameters corresponding to the imported medical devices through the order data, and use the image acquisition parameters to obtain the original acquisition images containing multiple imported medical devices.

[0034] Based on order data (such as device package type, size, and ambient lighting conditions), the system automatically determines the corresponding image acquisition parameters (such as resolution, exposure time, focus distance, and supplemental lighting intensity) and drives the high-definition camera module of the intelligent handover workstation to acquire raw images containing multiple external medical devices. During the acquisition process, image clarity and brightness are monitored in real time, and parameters are automatically fine-tuned to ensure that the images are unobstructed, free of reflections, and without overexposure or underexposure, meeting the requirements for subsequent identification and documentation.

[0035] Step S203: Determine the image ID corresponding to the original acquired image, and determine the metadata corresponding to the external medical device through the order number, node ID, operator ID, device number, and acquisition timestamp contained in the order data.

[0036] Each original captured image is assigned a unique image ID. Simultaneously, information such as order number, transfer node ID, operator ID, device number, and acquisition timestamp (accurate to milliseconds) is extracted from the order data to generate structured metadata. This metadata is bound one-to-one with the image ID, forming a unique index of "image ID + metadata." This ensures that each original image can be accurately traced to its corresponding handover scene, operator, and time point, providing a foundation for subsequent voucher traceability.

[0037] Step S204: Obtain a copy image corresponding to the original acquired image, scale the copy image to a preset size, and then perform discrete cosine transform calculation to obtain the hash value corresponding to the original acquired image.

[0038] A copy of the original captured image is obtained (for algorithm processing, without affecting the original credential). This copy is scaled to a preset size (e.g., 32×32) and converted to grayscale. Then, a Discrete Cosine Transform (DCT) is performed to extract the low-frequency coefficient matrix. Based on the coefficient matrix, an image perceptual hash value (pHash) is calculated, serving as an anti-tampering fingerprint for the original captured image. The hash value is bound to the image ID; any subsequent modification to the image will result in a hash value mismatch, thus ensuring the credential's immutability.

[0039] Step S205: Determine the digital image corresponding to the foreign medical device based on the original acquired image, metadata, and hash value.

[0040] The original acquired images, bound metadata, and calculated hash values ​​are encapsulated to form a complete digital image package. This digital image package serves as the core digital credential in the handover process, containing not only the original visual information but also unique identification, metadata traceability, and tamper-proof verification capabilities. It provides a reliable and traceable data source for subsequent equipment identification, inventory generation, and record display.

[0041] Optionally, identify and acquire the image sub-region corresponding to each foreign medical device in the digital image, such as Figure 3 As shown, it includes: Step S301: Obtain the grayscale calculation weight, contrast limit threshold, and filter kernel parameters corresponding to the original acquired image in the digital image based on metadata.

[0042] Based on the metadata bound to the digital image (including information such as the type, specifications, and acquisition environment of the medical device in the order), the system automatically obtains three sets of core parameters required for the preprocessing of the original acquired image to ensure that the preprocessing is adapted to the current medical device scenario: First, grayscale calculation weight (adapting to the characteristics of the metal material of medical devices and optimizing the weight allocation of the RGB channels); second, contrast limit threshold (preset to 2.0 to avoid local overexposure that would cause loss of medical device details); and third, filter kernel parameters (determining the Gaussian filter kernel size to be 5×5 and the standard deviation to be 1.0 to adapt to the noise reduction requirements of medical device images). All parameters are linked to the medical device type parameters to ensure that the preprocessing is targeted.

[0043] Step S302: After performing grayscale transformation calculation, contrast equalization calculation, and noise reduction calculation on the original acquired image in sequence using grayscale calculation weight, contrast limit threshold, and filter kernel parameters, a preprocessed image corresponding to the original acquired image is obtained.

[0044] Following a pre-defined process, preprocessing operations are performed on the original acquired images sequentially to eliminate interference factors and improve image recognition: First, using the acquired grayscale calculation weights, grayscale transformation calculation is performed through a weighted average method to retain the pixel information with the clearest instrument details; second, based on the contrast limit threshold, contrast-limited adaptive histogram equalization (CLAHE) calculation is performed to enhance the distinction between the instrument and the background; finally, Gaussian noise reduction calculation is performed using preset filter kernel parameters to remove Gaussian noise from the image and reduce interference, ultimately obtaining a preprocessed image with clear texture, moderate contrast, and no obvious noise, providing a high-quality data source for subsequent region segmentation.

[0045] Step S303: Determine the background segmentation threshold corresponding to the original acquired image through the device type parameter, and identify the ROI region corresponding to the foreign medical device in the preprocessed image based on the background segmentation threshold.

[0046] Based on preset device type parameters (including the size, contour features, grayscale range, etc. of various devices), the background segmentation threshold suitable for the current device is automatically determined (the optimal threshold is automatically calculated by OTSU using the Otsu method to ensure segmentation accuracy). Using this segmentation threshold as a benchmark, a binarization segmentation operation is performed on the preprocessed image to accurately distinguish the foreground and background regions of foreign medical devices. At the same time, through connected component analysis, minor noise interference is removed, and the region of interest (ROI) corresponding to each foreign medical device in the preprocessed image is identified. The coordinate range of each ROI is marked to ensure that no device is missed in segmentation and no redundant background areas.

[0047] Step S304: Obtain the image sub-region corresponding to each foreign medical device in the digital image based on the ROI region.

[0048] Based on the coordinates of each ROI region identified in step S303, the corresponding independent image region is precisely cropped and extracted from the digital image, serving as a unique image sub-region for each imported medical device. Each image sub-region is bound to a corresponding image ID, ROI coordinates, and metadata, ensuring a strong correlation with the original acquired image and handover order. Subsequently, the image sub-region can be used to trace back to the corresponding original documents and handover scenario, providing independent and accurate image material for subsequent device feature matching and quantity statistics.

[0049] Optionally, based on preset device type parameters, the device feature matching results corresponding to foreign medical devices in the image sub-region can be obtained, such as... Figure 4 As shown, it includes: Step S401: Determine the baseline feature library corresponding to the foreign medical device using the preset device type parameters.

[0050] Using pre-defined device type parameters (including core information such as the category, specifications, standard outline, and material characteristics of imported medical devices), the system accurately retrieves the benchmark feature library corresponding to the current handover scenario and order data from a locally stored feature database. This benchmark feature library has been pre-standardized and contains standard deep feature vectors, category identifiers, and specification parameters for various imported medical devices. It can also be updated in real time based on newly added device categories, ensuring the comprehensiveness and accuracy of feature matching and adapting to various imported medical devices provided by different suppliers.

[0051] Step S402: Obtain the depth feature vector corresponding to the image sub-region, and calculate the cosine similarity between the depth feature vector and the benchmark feature vector corresponding to all foreign medical devices in the benchmark feature library.

[0052] For each foreign medical device image sub-region extracted in step S304, its depth feature vector is extracted through a preset CNN backbone network (such as ResNet50). The extracted original depth feature vector is then standardized according to the preset standardization formula to ensure the uniformity of the feature vector. Subsequently, the cosine similarity between the standardized depth feature vector and the benchmark feature vector corresponding to all foreign medical devices in the benchmark feature library is calculated one by one. The similarity value is used to quantify the matching degree between the image sub-region and the standard device. The closer the similarity is to 1, the higher the matching degree.

[0053] Step S403: Obtain the device category parameters corresponding to the foreign medical device under the maximum cosine similarity through the benchmark feature library, and determine the device feature matching result corresponding to the foreign medical device in the image sub-region based on the device category parameters.

[0054] From all the cosine similarities calculated in step S402, the cosine similarity with the largest value is selected. The specific device category parameters (including device name, specifications, rated size, production standards, and other core information) corresponding to the maximum cosine similarity are retrieved from the benchmark feature library. At the same time, it is determined whether the maximum cosine similarity reaches a preset threshold (previously preset to ≥0.90). If the threshold is reached, the information corresponding to the device category parameter is confirmed as the feature matching result of the foreign medical device in the current image sub-region. If the threshold is not reached, it is marked as a matching anomaly, triggering subsequent review prompts. Finally, a complete feature matching result containing device category, specifications, and matching confidence is output, providing a core basis for subsequent device quantity statistics.

[0055] Optionally, based on the feature matching results, determine the usage quantity of all foreign medical devices in the digital image, and generate a device usage list corresponding to the usage quantity using the device type parameter, such as... Figure 5 As shown, it includes: Step S501: Traverse the digital image based on the image sub-region corresponding to each foreign medical device, and obtain the classification statistics corresponding to the feature matching results through metadata.

[0056] Based on the image sub-region corresponding to each foreign medical device, the digital image is fully traversed to ensure that no device sub-region is missed. At the same time, the metadata bound to the digital image is retrieved, and combined with the device feature matching results output by step S403 above (the matching has been confirmed to be qualified, i.e., the maximum cosine similarity is ≥0.90), the device category parameters and the initial classification statistics corresponding to each image sub-region are obtained. Image sub-regions marked as matching abnormal (maximum cosine similarity <0.90) are separately marked and not included in the statistics for the time being. They will be supplemented after subsequent manual review to ensure the accuracy of the statistical data.

[0057] Step S502: After summarizing and calculating the statistical quantities of the categories according to the device category parameters, the usage quantity of all foreign medical devices in the digital image is obtained.

[0058] Using the device category parameters (device name, specifications, etc.) obtained in step S403 as the grouping basis, the classification statistics obtained in step S501 are summarized and calculated. The statistics of foreign medical devices of the same category and specifications are accumulated, and image sub-regions with duplicate statistics are removed (to avoid counting the same device multiple times). After the summary is completed, the final device usage quantity corresponding to all qualified foreign medical devices in the digital image is obtained. At the same time, the number of device sub-regions with abnormal matching is recorded to form a complete quantity statistics result, which provides core data support for subsequent list generation.

[0059] Step S503: Determine the device ID, device name, and device specifications of the external medical device based on the device category parameters, and generate a device usage list corresponding to the device usage quantity using the device usage quantity, image ID, maximum cosine similarity, and coordinate values ​​corresponding to the image sub-region.

[0060] Based on the device category parameters, basic information such as the unique device ID, device name, and device specifications for each category of imported medical device is retrieved from the benchmark feature library. Subsequently, multi-dimensional core data is integrated to generate a structured device usage list corresponding to the number of devices used. Each entry in the list includes: device ID, device name, device specifications, number of devices used, corresponding image ID, coordinates of the device's image sub-region, and the maximum cosine similarity (i.e., matching confidence) calculated in step S402. The list separately lists information related to device sub-regions with abnormal matches (indicating the reason for the abnormality), and each entry is strongly bound to the original acquired image and image sub-region. This allows for reverse tracing of the visual evidence of the corresponding device through the list, ensuring its traceability and reliability, and laying the foundation for the generation of subsequent handover record images.

[0061] Optionally, a handover record image corresponding to the external medical devices can be generated from the device usage list, such as... Figure 6 As shown, it includes: Step S601: Determine the key corresponding to the supplier based on the handover order information and identity verification information.

[0062] Combining the order handover information obtained in the previous steps (including supplier identification, handover batch, etc.) and the identity verification information completed by the operator (the supplier's contact person's identity verification result), the system automatically retrieves and determines the supplier's unique encryption key (using the SM2 national cryptographic algorithm key, uniquely bound to the supplier's identity). This key is used for subsequent hash value signing to ensure the uniqueness and security of the signature result, while also being associated with order data to prevent key misuse and ensure the compliance and traceability of handover records.

[0063] Step S602: After signing the hash value using the key, send the signing result to the user.

[0064] The original image hash value (pHash, serving as an image anti-tampering fingerprint) calculated in step S204 is retrieved. Using the supplier's key determined in step S601, the hash value is digitally signed to generate a unique signature result. After signing, the signature result and the corresponding hash value are automatically sent to the user's terminal for identity and credential verification, ensuring that the hash value has not been tampered with and that the supplier's identity is legitimate, thus laying a reliable foundation for the generation of the handover record image.

[0065] Step S603: After the user has completed the verification of the signature result, the sample image corresponding to each external medical device and its corresponding usage quantity are determined based on the device usage list.

[0066] The system monitors the user's verification status of the signature result in real time. Once the user completes the signature verification (confirming the signature is valid and the hash value is consistent), based on the device usage list generated in step S503 above, it determines the sample image corresponding to each external medical device (i.e., the image sub-region of the device or the thumbnail of the original acquired image, clearly showing the details of the device's appearance). At the same time, it associates the usage quantity, matching confidence, and other information of each device recorded in the list to ensure that the sample image and the usage quantity correspond one-to-one, with no mismatch or omission.

[0067] Step S604: Generate the handover record image corresponding to the external medical device based on the order data, sample image and its corresponding usage quantity.

[0068] The order data (order number, information of both parties involved in the handover, transfer nodes, handover time, etc.), sample images of each imported medical device and their corresponding usage quantity are integrated and formatted with all reliable data such as device usage lists, hash values, and signature results to generate a handover record image for each imported medical device. This image uses an uneditable format, clearly presenting all core handover information. The sample image serves as direct visual proof of the device's existence and is strongly linked to the usage quantity and order information. This facilitates quick verification between the supplier and the user and ensures that the handover record image cannot be tampered with, significantly improving the reliability and traceability of the handover record.

[0069] Optionally, based on order data, a node display strategy is determined for the imported medical devices. This node display strategy controls the display of handover record images to the user according to the timeline of the order data, as described in step S104. Figure 7 As shown, it includes: Step S701: Use order data to determine the corresponding handover process node data between the supplier and the user.

[0070] Retrieve the external medical device handover order data obtained in the previous steps, and accurately extract the node data corresponding to the entire handover process between the supplier and the user. This node data covers key nodes in the entire handover chain, including but not limited to: supplier delivery node, hospital receiving node, operating room requisition node, postoperative device return node, etc. At the same time, it associates the node identifier, expected handover time, responsible department and operator for each node to ensure the completeness and accuracy of the node data, providing a core basis for subsequent timeline construction and display strategy formulation.

[0071] Step S702: Determine the timeline corresponding to the order data based on the node handover records, image vouchers, timestamps, and operator information corresponding to the node data in the handover process.

[0072] Based on the handover process node data determined in step S701, retrieve the associated information corresponding to each node one by one, including node handover records (such as the previously generated instrument usage list and abnormal annotations), image vouchers (original acquired images and thumbnails of handover record images), precise timestamps (accurate to milliseconds, consistent with the timestamps of image metadata), operator identity information, and operation logs; organize and sort this information according to the chronological order of the handover process to construct a handover timeline exclusive to this order, with each node clearly marked on the timeline. Clicking on a node allows for quick retrieval of the complete data for the corresponding node, realizing full-process visual traceability of the handover process.

[0073] Step S703: Determine the node display strategy corresponding to the external medical device based on the timeline, and control the handover record image to be displayed from the supplier to the user according to the timeline through the signature result.

[0074] Based on the handover timeline constructed in step S702, and considering the handover requirements, permission allocation, and compliance requirements of each node, the node display strategy for external medical devices is determined. This clarifies the display scope, viewing permissions, and interaction methods (such as whether the image can be zoomed in to view the voucher, and whether it can be exported) of the handover record images under different handover nodes. Simultaneously, in conjunction with the signature result generated in step S602, the handover record images will only be displayed to the corresponding node's user terminal according to the node display strategy, following the timeline display method, after the user completes signature verification (confirming the supplier's legitimate identity and that the handover record images have not been tampered with). This ensures that the display of the handover record images is controllable and compliant, guaranteeing efficient verification by the user while avoiding the risk of data leakage or tampering.

[0075] After step S602 (signing the hash value using the key and sending the signature result to the user), if it is detected that the user cannot complete the signature result verification (e.g., signature mismatch, hash value anomaly, key verification failure, etc.), the handover anomaly handling process is initiated, generating a handover record image containing an anomaly identifier to ensure that the anomaly scenario is traceable and verifiable. Optionally, after step S602, which involves signing the hash value using the key and sending the signature result to the user, if... Figure 8 As shown, the method also includes: Step S801: When it is detected that the user cannot verify the signature result, the abnormal handover image corresponding to the external medical device is determined based on the medical device usage list.

[0076] The system monitors the signature verification status of the user in real time. When it detects that the user cannot effectively verify the signature result (with a clear verification failure indicator), the anomaly handling mechanism is immediately triggered. Based on the medical device usage list generated in step S503 above, the system retrieves the image sub-regions, original acquired images, and hash values ​​corresponding to all external medical devices in the list. It also marks the specific reasons for verification failures (such as signature and key mismatch, hash value tampering, supplier identity verification anomalies, etc.). These image materials containing anomaly information are integrated to identify the handover anomaly images corresponding to the external medical devices. These anomaly images retain the original visual evidence of the devices while clearly marking the anomaly details, providing a basis for subsequent anomaly review and responsibility determination.

[0077] Step S802: Generate the handover record image corresponding to the external medical device based on the order data and the handover anomaly image.

[0078] Retrieve the order data obtained earlier (including order number, information of both parties involved in the handover, transfer nodes, timestamps, and other core information), and integrate it with the handover anomaly image determined in step S801 to generate a handover record image (anomaly version) corresponding to the external medical device. This image must be clearly marked with a "handover anomaly" label, clearly listing the reason for the signature verification failure, the time of the anomaly, and the information of the relevant operators. It must also fully retain core data such as the device usage list, device sample image, and original hash value to ensure that the handover information in the anomaly scenario is complete and traceable. Consistent with the normal handover record image, this anomaly version also uses an unmodifiable format, which facilitates verification of anomaly details and the advancement of the review process by both parties, while also ensuring the immutability and traceability of the anomaly handover record, meeting the compliance management requirements for medical handover.

[0079] As can be seen from the above-mentioned method for displaying and controlling the handover records of external medical devices, this method can automatically integrate the handover data of external medical devices to obtain a complete handover record image. This image contains a complete list of devices used, which can clearly and efficiently display the handover records of external medical devices. Moreover, the data in the handover record image cannot be modified, thereby greatly improving the reliability and traceability of the handover records.

[0080] Corresponding to the above embodiments of the method for displaying and controlling the handover records of external medical devices, this embodiment of the invention also provides a control system for displaying and controlling the handover records of external medical devices, such as... Figure 9 As shown, the system includes: The digital image acquisition module 100 is used to acquire digital images of multiple external medical devices based on order data corresponding to external medical devices; wherein, the external medical devices are provided to the user by the supplier; the digital images are determined based on the hash value corresponding to the copy image of the external medical device; The feature matching execution module 200 is used to identify and obtain the image sub-region corresponding to each foreign medical device in the digital image, and obtain the device feature matching result corresponding to the foreign medical device in the image sub-region based on the preset device type parameters; The handover record image generation module 300 is used to determine the number of medical devices used for all external medical devices in the digital image based on the feature matching results, generate a medical device usage list corresponding to the number of medical devices used using the medical device type parameter, and generate a handover record image corresponding to the external medical devices through the medical device usage list. The display control execution module 400 is used to determine the node display strategy corresponding to the external medical device based on the order data, and to control the handover record image to be displayed to the user according to the timeline of the order data through the node display strategy.

[0081] As can be seen from the above-mentioned external medical device handover record display and control system, the system can automatically integrate the handover data of external medical devices to obtain a complete handover record image. This image contains a complete list of devices used, which can clearly and efficiently display the handover record of external medical devices. Moreover, the data in the handover record image cannot be modified, thereby greatly improving the reliability and traceability of the handover record.

[0082] The external medical device handover record display control system provided in this embodiment of the invention has the same implementation principle and technical effect as the aforementioned external medical device handover record display control method embodiment. For the sake of brevity, any parts not mentioned in the system embodiment can be referred to the corresponding content in the aforementioned external medical device handover record display control method embodiment.

[0083] This embodiment also provides an electronic device, the structural schematic diagram of which is shown below. Figure 10 As shown, the device includes a processor 101 and a memory 102; wherein, the memory 102 is used to store one or more computer instructions, which are executed by the processor to implement the steps of the above-mentioned method for displaying and controlling the handover record of foreign medical devices.

[0084] Figure 10 The electronic device shown also includes a bus 103 and a communication interface 104, with the processor 101, communication interface 104 and memory 102 connected via the bus 103.

[0085] The memory 102 may include high-speed random access memory (RAM) and may also include non-volatile memory, such as at least one disk storage device. The bus 103 may be an ISA bus, PCI bus, or EISA bus, etc. The bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 10 The symbol is represented by a single double-headed arrow, but this does not mean that there is only one bus or one type of bus.

[0086] The communication interface 104 is used to connect to at least one user terminal and other network units through a network interface, and to send encapsulated IPv4 packets or IPv4 packets to the user terminal through the network interface.

[0087] Processor 101 may be an integrated circuit chip with signal processing capabilities. In implementation, each step of the above method can be completed by the integrated logic circuitry in the hardware of processor 101 or by instructions in software form. The processor 101 can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this disclosure. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of this disclosure can be directly manifested as execution by a hardware decoding processor, or execution by a combination of hardware and software modules in the decoding processor. The software module can reside in a mature storage medium in the art, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, or registers. This storage medium is located in memory 102. The processor 101 reads the information in memory 102 and, in conjunction with its hardware, completes the steps of the method described in the foregoing embodiments.

[0088] This invention also provides a storage medium storing a computer program, which, when executed by a processor, performs the steps of the foreign medical device handover record display control method described in the foregoing embodiments.

[0089] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, devices, and methods can be implemented in other ways. The system embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. Furthermore, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the coupling or direct coupling or communication connection shown or discussed may be through some communication interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0090] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0091] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0092] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a processor-executable, non-volatile, computer-readable storage medium. Based on this understanding, the technical solution of this invention, essentially, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, electronic device, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0093] Finally, it should be noted that the above-described embodiments are merely specific implementations of the present invention, used to illustrate the technical solutions of the present invention, and not to limit it. The scope of protection of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments within the technical scope disclosed in the present invention, or make equivalent substitutions for some of the technical features; and these modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for controlling the display of handover records for imported medical devices, characterized in that, The method includes: The order data collection based on imported medical devices includes digital images of multiple imported medical devices; wherein, the imported medical devices are provided to the user by the supplier; the digital images are determined based on the hash value corresponding to a copy image of the imported medical device; Identify and obtain the image sub-region corresponding to each of the foreign medical devices in the digital image, and obtain the device feature matching result corresponding to the foreign medical device in the image sub-region based on the preset device type parameter; Based on the feature matching results, determine the number of devices used for all the foreign medical devices in the digital image, generate a device usage list corresponding to the number of devices used using the device type parameter, and generate a handover record image corresponding to the foreign medical devices using the device usage list. Based on the order data, a node display strategy is determined for the imported medical device. The node display strategy is then used to control the handover record image to be displayed to the user according to the timeline of the order data.

2. The method for displaying and controlling the handover record of imported medical devices according to claim 1, characterized in that, The steps of collecting digital images of multiple imported medical devices based on order data corresponding to imported medical devices include: The order data corresponding to the imported medical device is obtained based on the handover order information and identity verification information between the supplier and the user. The image acquisition parameters corresponding to the imported medical devices are determined by the order data, and the original acquisition images containing multiple imported medical devices are obtained using the image acquisition parameters. The image ID corresponding to the original acquired image is determined, and the metadata corresponding to the external medical device is determined through the order number, node ID, operator ID, device number, and acquisition timestamp contained in the order data; Obtain a copy image corresponding to the original acquired image, scale the copy image to a preset size, and then perform discrete cosine transform calculation to obtain the hash value corresponding to the original acquired image; The digital image corresponding to the foreign medical device is determined based on the original acquired image, the metadata, and the hash value.

3. The method for displaying and controlling the handover record of imported medical devices according to claim 2, characterized in that, Identifying and acquiring the image sub-region corresponding to each of the foreign medical devices in the digital image, including: Based on the metadata, obtain the grayscale calculation weight, contrast limit threshold, and filter kernel parameters corresponding to the original acquired image in the digital image; After performing grayscale transformation calculation, contrast equalization calculation, and noise reduction calculation on the original acquired image in sequence using the grayscale calculation weight, the contrast limit threshold, and the filter kernel parameters, a preprocessed image corresponding to the original acquired image is obtained. The background segmentation threshold corresponding to the original acquired image is determined by the device type parameter, and the ROI region corresponding to the foreign medical device in the preprocessed image is identified based on the background segmentation threshold. Based on the ROI region, obtain the image sub-region corresponding to each of the foreign medical devices in the digital image.

4. The method for displaying and controlling the handover record of imported medical devices according to claim 2, characterized in that, Based on preset device type parameters, the device feature matching result corresponding to the foreign medical device in the image sub-region is obtained, including: The baseline feature library corresponding to the foreign medical device is determined using the preset device type parameters; Obtain the depth feature vector corresponding to the image sub-region, and calculate the cosine similarity between the depth feature vector and the benchmark feature vectors corresponding to all the foreign medical devices in the benchmark feature library; The device category parameters corresponding to the foreign medical device under the maximum cosine similarity are obtained through the benchmark feature library, and the device feature matching result corresponding to the foreign medical device in the image sub-region is determined based on the device category parameters.

5. The method for displaying and controlling the handover record of imported medical devices according to claim 4, characterized in that, Based on the feature matching results, the quantity of each external medical device used in the digital image is determined, and a device usage list corresponding to the quantity of each device used is generated using the device type parameter, including: Based on the image sub-region corresponding to each of the foreign medical devices, the digital image is traversed, and the classification statistics corresponding to the feature matching result are obtained through the metadata. After summarizing and calculating the statistical quantities of the categories according to the device category parameters, the usage quantity of all the foreign medical devices in the digital image is obtained. Based on the device category parameters, determine the device ID, device name, and device specifications of the imported medical device, and generate a device usage list corresponding to the device usage quantity using the device usage quantity, the image ID, the maximum cosine similarity, and the coordinate values ​​corresponding to the image sub-region.

6. The method for displaying and controlling the handover record of imported medical devices according to claim 2, characterized in that, The handover record image corresponding to the external medical device is generated from the device usage list, including: The key corresponding to the supplier is determined based on the handover order information and the identity verification information; After signing the hash value using the key, the signature result is sent to the user. Once the user has verified the signature result, the sample image and the corresponding usage quantity for each external medical device are determined based on the device usage list. Based on the order data, the sample image, and the corresponding usage quantity, a handover record image corresponding to the imported medical device is generated.

7. The method for displaying and controlling the handover record of imported medical devices according to claim 6, characterized in that, Based on the order data, a node display strategy is determined for the imported medical device. This strategy is then used to control the handover record image to be displayed to the user according to the timeline of the order data, including: The order data is used to determine the corresponding handover process node data between the supplier and the user; The timeline corresponding to the order data is determined based on the node handover records, image vouchers, timestamps, and operator information corresponding to the node data in the handover process. Based on the timeline, a node display strategy corresponding to the imported medical device is determined, and the handover record image is controlled to be displayed from the supplier to the user according to the timeline through the signature result.

8. The method for displaying and controlling the handover record of imported medical devices according to claim 6, characterized in that, After the step of signing the hash value using the key and sending the signature result to the user, the method further includes: When it is detected that the user is unable to verify the signature result, the abnormal handover image corresponding to the external medical device is determined based on the device usage list; Based on the order data and the abnormal handover image, a handover record image corresponding to the imported medical device is generated.

9. A system for recording and displaying the handover of imported medical devices, characterized in that, The system includes: A digital image acquisition module is used to acquire digital images containing multiple external medical devices based on order data corresponding to the external medical devices; wherein the external medical devices are provided to the user by the supplier; and the digital images are determined based on hash values ​​corresponding to duplicate images of the external medical devices. The feature matching execution module is used to identify and obtain the image sub-region corresponding to each of the foreign medical devices in the digital image, and obtain the device feature matching result corresponding to the foreign medical device in the image sub-region based on the preset device type parameters; The handover record image generation module is used to determine the number of devices used for all the external medical devices in the digital image based on the feature matching result, generate a device usage list corresponding to the number of devices used using the device type parameter, and generate a handover record image corresponding to the external medical device using the device usage list. The display control execution module is used to determine the node display strategy corresponding to the external medical device based on the order data, and control the handover record image to be displayed to the user according to the timeline of the order data through the node display strategy.

10. An electronic device, characterized in that, The electronic device includes a processor and a memory, the memory storing computer-executable instructions that can be executed by the processor, the processor executing the computer-executable instructions to implement the steps of the foreign medical device handover record display control method according to any one of claims 1 to 8.

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