Linkage control method and system based on medical equipment and medium
By building a device parameter library and automatically matching image characteristics and equipment indicators, the intelligent linkage between medical imaging equipment and medical equipment is achieved, and the inefficiency and error problems of doctors manually adjusting parameters in the existing technology are solved, improving the efficiency and safety of medical processes.
Patent Information
- Application Number
- CN202510424604.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-07
- Publication Date
- 2025-07-18
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
In the prior art, medical imaging equipment lacks intelligent linkage between medical equipment, which causes doctors to spend a lot of time manually interpreting examination reports and adjusting treatment parameters, which is prone to errors and affecting the treatment effect.
Build a device parameter library, extract image information through the inspection report of medical imaging equipment, automatically match and adjust the parameters of medical equipment, realize intelligent linkage between image characteristics and equipment indicators, reduce manual operations, improve processing efficiency and avoid errors.
It realizes the intelligent linkage between medical imaging equipment and medical equipment, improves the efficiency and quality of medical processes, reduces operational complexity and human errors, and provides safer and more efficient medical services.
Smart Images
Figure CN120340798A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of device linkage, and particularly relates to a linkage control method, system and medium based on medical devices. Background Art
[0002] In the modern medical field, medical imaging devices are indispensable devices for examining diseased parts. Medical imaging devices (such as CT, MRI, PET-CT, etc.) obtain inspection reports (i.e., part imaging diagrams) with their imaging capabilities. Doctors interpret the inspection reports and adjust the parameters of medical devices (such as radiotherapy devices, surgical robots, etc.) acting on the user, so as to reduce the damage of medical devices to normal tissues.
[0003] Currently, most medical imaging devices and medical devices are independent of each other. Doctors need to manually interpret the inspection reports of medical imaging devices and manually adjust the parameters of medical devices according to their own experience and judgment. For example: radiotherapy devices and PET-CT (positron emission tomography). The position and size of tumors are examined by PET-CT, and doctors manually adjust the parameters of radiotherapy devices according to the examined tumor position and size, and destroy the DNA structure of tumor cells through radiation to inhibit the reproduction and growth of tumor cells.
[0004] Due to the lack of intelligent linkage between medical imaging devices and medical devices, doctors need to spend a lot of time interpreting the inspection reports of medical imaging devices and adjusting treatment parameters according to the inspection reports, which is not only time-consuming and laborious, but also prone to errors due to human factors, affecting the treatment effect. Summary of the Invention
[0005] The purpose of the present invention is to provide a linkage control method, system and medium based on medical devices, and the technical problem to be solved is how to achieve intelligent linkage between medical imaging devices and medical devices.
[0006] The present invention is realized by the following technical solutions:
[0007] In a first aspect, a linkage control method based on medical devices is provided, including the following steps:
[0008] S100. Create a device parameter library, where the device parameter library includes image features, device indicators, image feature setting parameters, and device indicator parameters; wherein, one of the above image features corresponds to at least one device indicator, and the device indicators corresponding to one of the above image features are used as a set to obtain a device indicator set; the above image feature setting parameters correspond one-to-one to the device indicator parameters of each device indicator in the device indicator set;
[0009] S200. Obtain the inspection report of the medical imaging device, and extract the image information from the above inspection report; the above image information consists of several imaging feature data;
[0010] Allocate medical devices based on the above image information;
[0011] S300. Extract each device index parameter corresponding to the imaging feature data from the above device parameter library to obtain a target parameter set;
[0012] S400. Adjust each device index parameter of the above medical device to the corresponding target parameter.
[0013] By constructing a database containing imaging features, device indexes and their parameters, a basis is provided for subsequent parameter matching; the corresponding relationship between imaging features and device indexes ensures that medical devices can adjust device indexes according to specific medical images. Extracting image information from the inspection report of medical imaging devices reduces the dependence on manual operations, improves processing efficiency, enables the system to respond immediately to image data, and quickly enters the next device parameter adjustment process; allocating medical devices according to the extracted image information not only saves time but also avoids errors that may be caused by manual allocation. By matching the parameters in the device parameter library, the corresponding device index parameters are found for each imaging feature data to form a target parameter set, and automatically adjusting the parameters of medical devices according to the target parameter set means that medical devices can immediately adapt to the current image data.
[0014] Through the above steps, the intelligent linkage between medical imaging devices and medical devices is realized, improving the efficiency and quality of the medical process; doctors can focus more on the diagnosis and treatment strategy formulation of users, while the automated collaboration between devices reduces operation complexity and human errors, providing users with safer and more efficient medical services.
[0015] Further, allocating medical devices based on the above image information, the specific steps include:
[0016] Extract imaging features from the above image information, obtain the device index corresponding to the imaging feature through the above device parameter library, and determine the device type;
[0017] Retrieve the device usage status library of the above device type; among them, the above device usage status library includes the device code, device location and usage status of the medical device;
[0018] Extract the device location in the to-be-used status from the above device usage status library;
[0019] Obtain the location of the above medical imaging device to get the starting location;
[0020] Calculate the distance from the medical imaging device to the medical device to be used based on the starting position and the position of the device to be used, and determine the allocated medical device using the bubble sort method.
[0021] First, identify and extract key imaging features from the image information extracted from the inspection report of the medical imaging device. The imaging features include the size, shape, position, etc. of the lesion site. Obtain device indicators through the device parameter library to determine the device type. Specifically: Use the device parameter library to match the extracted imaging features with the imaging features in the library to find the corresponding device indicators, and the device indicators will point to specific medical device types, such as ultrasonic devices, MRI devices, CT devices, etc.
[0022] Next, retrieve the device usage status library, which contains detailed information about all medical devices in the hospital, such as device codes (used to uniquely identify devices), device positions (such as floor and room number), and current usage status (such as to-be-used status, in-use status, maintenance status, etc.). Screen out the medical devices that are currently in the to-be-used status from the device usage status library and record their location information; for each medical device in the to-be-used status, calculate the actual walking path distance from the position of the medical imaging device to the position of this medical device. According to the result of the bubble sort, select the medical device that is closest to the medical imaging device and in the to-be-used status as the allocation object.
[0023] Furthermore, extract the identity information from the above inspection report;
[0024] After allocating the above medical device, associate the above identity information with the device code of this medical device;
[0025] Add the above identity information to the device usage status library and update the usage status.
[0026] When obtaining the inspection report of the medical imaging device, simultaneously extract the user identity information contained in the inspection report, such as name, gender, age, medical record number, etc.; once the allocated medical device is obtained, it is necessary to associate the user's identity information with the device code of the allocated medical device to ensure that the parameter adjustment of this medical device is carried out for a specific user; in the device usage status library, in addition to basic information such as device code, position, and usage status, add entries related to user identity information, associate the user identity information with the device code, and update the usage status of this device to "in use" or the corresponding specific status (such as "examining", "treating", etc.).
[0027] Status updates not only ensure the timeliness and accuracy of the device usage status library but also provide important information about the current usage of medical devices to other systems or medical staff. For example, it helps the scheduling system avoid assigning the same device to multiple users or alerts medical staff that a certain device is in use and they need to wait or find a replacement device.
[0028] Furthermore, the above-mentioned allocation of medical devices further includes the following steps:
[0029] Determine the priority of allocating medical devices for identity information according to the chronological order of the above-mentioned image information extraction;
[0030] When extracting image information of multiple pieces of the above-mentioned identity information at the same time, respectively extract the imaging features in the image information, obtain the device indicators corresponding to the imaging features through the above-mentioned device parameter library, and count the number of device indicators;
[0031] Arrange them in descending order according to the above-mentioned number of device indicators to obtain the priority of allocating medical devices.
[0032] Allocating medical devices to users according to the priority order reduces the probability of user dissatisfaction caused by long queues; determining the urgency of users through the number of device indicators, the more the number of device indicators, the more urgent the user is, so device allocation is preferentially arranged within the same batch.
[0033] Furthermore, adjusting the device indicator parameters of the above-mentioned medical devices to the corresponding target parameters, the specific steps include:
[0034] Obtain the device indicator parameters of the above-mentioned medical devices at the current moment to obtain the first current indicator parameter set; the device indicators corresponding to the first current indicator parameter set correspond one by one to the device indicators in the device indicator set;
[0035] Compare the first current indicator parameter set and the target parameter set, and judge whether the first current indicator parameter is equal to the corresponding target parameter for the same device indicator;
[0036] If the first current indicator parameter is equal to the corresponding target parameter, the device indicator is classified as a non-processing object;
[0037] If the first current indicator parameter is not equal to the corresponding target parameter, the device indicator is classified as a to-be-processed object;
[0038] Adjust the parameters of the to-be-processed objects in the above-mentioned medical devices to the corresponding target parameters.
[0039] Before performing parameter adjustment, determine the device metrics that need to be adjusted. Specifically: First, obtain the device metric parameters of the medical device at the current moment. These parameters correspond one-to-one with the device metrics defined in the device metric set, thus forming a first current metric parameter set. Then, compare the current parameters with the target parameters, compare the first current metric parameter set with the target parameter set, and determine whether the current parameters are equal to the target parameters under the same device metric. Next, classify and process the device metrics. If the first current metric parameter is equal to the corresponding target parameter, it means that the device metric is already in the desired state and no adjustment is required. Therefore, classify these device metrics as "non-processing objects". If the first current metric parameter is not equal to the corresponding target parameter, it means that the device metric needs to be adjusted to reach the desired state. Therefore, classify these device metrics as "objects to be processed". For the device metrics classified as objects to be processed, adjust their parameters to the corresponding target parameters.
[0040] Furthermore, after S430, it is also necessary to determine whether the device metric parameters of the above-mentioned medical device are adjusted successfully. The specific steps include:
[0041] S440. After adjusting the device metric parameters of the above-mentioned medical device, obtain the device metric parameters of the medical device to obtain a second current metric parameter set; the device metrics corresponding to the second current metric parameter set correspond one-to-one with the device metrics in the device metric set;
[0042] S450. Compare the second current metric parameter set and the target parameter set, and determine whether there is the same device metric for which the second current metric parameter is not equal to the corresponding target parameter;
[0043] S452. If not, the device metric parameters of the above-mentioned medical device are adjusted successfully;
[0044] S452. If so, classify the above-mentioned device metrics as objects to be processed, adjust the parameters of the objects to be processed to the corresponding target parameters, and increment the adjustment count by 1; where the initial value of the above-mentioned adjustment count is 0;
[0045] Return to S440 to continue execution. When the above-mentioned adjustment count is equal to 3, generate a maintenance instruction.
[0046] In a second aspect, a linkage control system based on a medical device is provided. The linkage control system is used to implement the above-mentioned linkage control method; the linkage control system includes:
[0047] Storage module, the above storage module is used to create and store a device parameter library, and the above device parameter library includes image features, device indicators, image feature setting parameters, and device indicator parameters; wherein, one of the above image features corresponds to at least one device indicator, and the device indicators corresponding to one of the above image features are used as a set to obtain a device indicator set; the above image feature setting parameters correspond one-to-one with the device indicator parameters of each device indicator in the device indicator set;
[0048] Acquisition module, the above acquisition module is used to obtain the inspection report of the medical imaging device;
[0049] Processing module, the above processing module is connected to the storage module and the acquisition module; the above processing module is used to extract image information from the inspection report; the above image information is composed of several image feature data; extract the corresponding device indicator parameters of each image feature data from the device parameter library to obtain a target parameter set;
[0050] Allocation module, the above allocation module is connected to the processing module, and the above allocation module is used to allocate medical devices based on the image information;
[0051] Adjustment module, the above adjustment module is connected to the processing module, and the above adjustment module is used to adjust the device indicator parameters of the medical device to the corresponding target parameters.
[0052] Further, the above allocation module is connected to the storage module; the above storage module also stores a device usage status library;
[0053] The above allocation module is used to allocate medical devices based on the image information, and the specific steps include:
[0054] The above processing module extracts image features from the image information, calls the device parameter library in the storage module to obtain the device indicators corresponding to the image features, and determines the device type;
[0055] Call the device usage status library of the device type in the above storage module; wherein, the above device usage status library includes the device code, device location, and usage status of the medical device;
[0056] The above processing module extracts the device location with the to-be-used status from the device usage status library;
[0057] The above allocation module obtains the location of the medical imaging device to get the starting position; calculates the distance from the medical imaging device to the to-be-used medical device based on the above starting position and the device location with the to-be-used status, and determines the allocated medical device by using the bubble sort method.
[0058] Further, the above allocation module is also used to determine the priority of allocating medical devices based on identity information, and the specific steps include:
[0059] According to the chronological order of the extraction of the above image information;
[0060] When multiple pieces of image information of the above identity information are extracted at the same time, the above processing module respectively extracts the image features in the image information, and obtains the device indicators corresponding to the image features by calling the device parameter library in the storage module;
[0061] The above distribution module counts the number of device indicators, arranges them in descending order according to the above number of device indicators, and obtains the priority for allocating medical devices.
[0062] A third aspect provides a computer-readable storage medium, on which computer program instructions are stored, and when the computer program instructions are executed by a processor, the above linkage control method is implemented.
[0063] Compared with the prior art, the present invention has the following advantages and beneficial effects:
[0064] Construct a database containing image features, device indicators and their parameters, providing a basis for subsequent parameter matching; the correspondence between image features and device indicators ensures that medical devices can adjust device indicators according to specific medical images. Extracting image information from the inspection reports of medical imaging devices reduces the dependence on manual operations, improves processing efficiency, enables the system to respond immediately to image data, and quickly enters the next device parameter adjustment process; allocating medical devices according to the extracted image information not only saves time but also avoids errors that may be caused by manual allocation; by matching the parameters in the device parameter library, corresponding device indicator parameters are found for each image feature data to form a target parameter set; adjusting the parameters of medical devices according to the target parameter set means that medical devices can immediately adapt to the current image data.
[0065] Through the above steps, the intelligent linkage between medical imaging devices and medical devices is realized, and the automatic cooperation between devices reduces operation complexity and human errors. BRIEF DESCRIPTION OF THE DRAWINGS
[0066] In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the following will briefly introduce the drawings required in the embodiments. It should be understood that the following drawings only show some embodiments of the present invention, and therefore should not be regarded as limiting the scope. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts. In the drawings:
[0067] Figure 1 is the main flow chart. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0068] To make the objectives, technical solutions, and advantages of the present invention more clearly understood, the following further elaborates on the present invention in conjunction with embodiments and drawings. The illustrative embodiments of the present invention and their descriptions are only used to explain the present invention and do not limit the present invention.
[0069] First Embodiment:
[0070] In combination with Figure 1 , a linkage control method based on medical devices includes the following steps:
[0071] S100. Create a device parameter library. The above-mentioned device parameter library includes image features, device indicators, image feature setting parameters, and device indicator parameters. Among them, one of the above-mentioned image features corresponds to at least one device indicator. The device indicators corresponding to one of the above-mentioned image features are used as a set to obtain a device indicator set. The above-mentioned image feature setting parameters correspond one-to-one with the device indicator parameters of each device indicator in the device indicator set.
[0072] S200. Obtain the inspection report of the medical imaging device and extract image information from the above-mentioned inspection report. The above-mentioned image information is composed of several image feature data.
[0073] Based on the above-mentioned image information, allocate medical devices.
[0074] S300. Extract the device indicator parameters corresponding to the image feature data from the above-mentioned device parameter library to obtain a target parameter set.
[0075] S400. Adjust the device indicator parameters of the above-mentioned medical devices to the corresponding target parameters.
[0076] A reference usage scenario uses a CT scanning device as the medical imaging device, and a radiotherapy device and an MRI device as the medical devices that need to be linked. The CT scanning device is used to generate the user's medical image (i.e., image information), including various image features, such as tumor size, tumor location, tumor density, etc. The radiotherapy device adjusts parameters such as radiation dose and irradiation angle according to the CT scan results. The tumor size corresponds to the radiation dose of the radiotherapy device, and the tumor location corresponds to the irradiation angle. If the tumor size is 1mm * 1mm, the radiation dose parameter of the radiotherapy device is adjusted to the radiation dose corresponding to 1mm * 1mm.
[0077] Second Embodiment:
[0078] Based on the first embodiment, when allocating medical devices based on the above-mentioned image information, the specific steps include:
[0079] Extract the image features from the above-mentioned image information, obtain the device indicators corresponding to the image features through the above-mentioned device parameter library, and determine the device type.
[0080] Retrieve the device usage status library of the above device types; wherein, the above device usage status library includes the device code, device location, and usage status of medical devices;
[0081] Extract the device location of the device to be in the usage status from the above device usage status library;
[0082] Obtain the location of the above medical imaging device to get the starting location;
[0083] Calculate the distance from the medical imaging device to the medical device to be used according to the above starting location and the device location of the device to be in the usage status, and use the bubble sort method to determine the allocated medical device.
[0084] First, from the image information extracted from the inspection report of the medical imaging device, identify and extract the key imaging features. The imaging features include the size, shape, location, etc. of the lesion site. Obtain the device indicators through the device parameter library to determine the device type. Specifically: use the device parameter library to match the extracted imaging features with the imaging features in the library to find the corresponding device indicators. The device indicators will point to specific medical device types, such as ultrasound devices, MRI devices, CT devices, etc.
[0085] Next, retrieve the device usage status library. The device usage status library contains detailed information about all medical devices in the hospital, such as device codes (used to uniquely identify devices), device locations (such as floors, room numbers), and current usage statuses (such as to-be-used status, in-use status, maintenance status, etc.). Screen out the medical devices that are currently in the to-be-used status from the device usage status library and record their location information; for each medical device in the to-be-used status, calculate the actual walking path distance from the location of the medical imaging device to the location of this medical device. According to the result of the bubble sort, select the medical device that is the closest to the medical imaging device and is in the to-be-used status as the allocation object.
[0086] Specific embodiments, extract the identity information from the above inspection report;
[0087] After allocating the above medical device, associate the above identity information with the device code of this medical device;
[0088] Add the above identity information to the device usage status library and update the usage status.
[0089] When obtaining the inspection report of a medical imaging device, extract the user identity information contained in the inspection report, such as name, gender, age, medical record number, etc.; once a medical device is assigned, it is necessary to associate the user's identity information with the device code of the assigned medical device to ensure that the parameter adjustment of the medical device is for the same user, thus enhancing the coherence and accuracy of medical services; in the device usage status library, in addition to basic information such as device code, location, and usage status, add entries related to user identity information, associate the user identity information with the device code, and update the usage status of the device to "in use status".
[0090] The status update not only ensures the timeliness and accuracy of the device usage status library but also provides important information about the current usage of medical devices to other systems or medical staff. For example, it helps the scheduling system avoid assigning the same device to multiple users or reminds medical staff that a certain device is in use and they need to wait or find an alternative device.
[0091] In a specific embodiment, the above-mentioned assignment of medical devices further includes the following steps:
[0092] Determine the priority of assigning medical devices based on the identity information according to the chronological order of the extracted above-mentioned image information;
[0093] When extracting the image information of multiple above-mentioned identity information at the same time, respectively extract the imaging features in the image information, obtain the device indicators corresponding to the imaging features through the above-mentioned device parameter library, and count the number of device indicators;
[0094] Arrange them in descending order according to the above-mentioned number of device indicators to obtain the priority of assigning medical devices;
[0095] When the number of the above-mentioned device indicators is equal at the same time, arrange them randomly.
[0096] Assign medical devices to users according to the priority order, reducing the probability of user dissatisfaction caused by long queues; determine the urgency of users through the number of device indicators. The more the number of device indicators, the more urgent the user is, so priority is given to arranging device assignment within the same batch.
[0097] Third embodiment:
[0098] On the basis of the first embodiment, adjust the device indicator parameters of the above-mentioned medical device to the corresponding target parameters. The specific steps include:
[0099] Obtain the device indicator parameters of the above-mentioned medical device at the current moment to obtain the first current indicator parameter set; the device indicators corresponding to the first current indicator parameter set correspond one by one to the device indicators in the device indicator set;
[0100] Compare the above first current index parameter set with the target parameter set to determine whether, for the same device index, the first current index parameter is equal to the corresponding target parameter;
[0101] If the above first current index parameter is equal to the corresponding target parameter, the device index is classified as a non - processing object;
[0102] If the above first current index parameter is not equal to the corresponding target parameter, the device index is classified as a to - be - processed object;
[0103] Adjust the parameters of the to - be - processed objects in the above medical device to the corresponding target parameters.
[0104] Before performing the parameter adjustment, determine the device indices that need to be adjusted. Specifically: First, obtain the device index parameters of the medical device at the current moment. These parameters correspond one - to - one with the device indices defined in the device index set, thus forming a first current index parameter set. Then, compare the current parameters with the target parameters, compare the first current index parameter set with the target parameter set, and determine whether, for the same device index, the current parameter is equal to the target parameter. Next, classify and process the device indices. If the first current index parameter is equal to the corresponding target parameter, it means that the device index is already in the desired state and no adjustment is required. Therefore, classify these device indices as "non - processing objects". If the first current index parameter is not equal to the corresponding target parameter, it means that the device index needs to be adjusted to reach the desired state. Therefore, classify these device indices as "to - be - processed objects". For the device indices classified as to - be - processed objects, adjust their parameters to the corresponding target parameters.
[0105] Fourth Embodiment:
[0106] Based on the third embodiment, after S430, it is also necessary to determine whether the device index parameters of the above medical device are adjusted successfully. The specific steps include:
[0107] S440. After adjusting the device index parameters of the above medical device, obtain the device index parameters of the medical device to obtain a second current index parameter set; the device indices corresponding to those in the second current index parameter set correspond one - to - one with the device indices in the device index set;
[0108] S450. Compare the above second current index parameter set with the target parameter set to determine whether there is a same device index for which the second current index parameter is not equal to the corresponding target parameter;
[0109] S452. If not, the device index parameters of the above medical device are adjusted successfully;
[0110] S452. If it exists, the above device indicators are classified as objects to be processed. The parameters of the objects to be processed are adjusted to the corresponding target parameters, and the adjustment count is incremented by 1. The initial value of the above adjustment count is 0.
[0111] Return to S440 to continue execution. When the above adjustment count equals 3, a maintenance instruction is generated.
[0112] After the parameter adjustment is completed, the device indicator parameters of the medical device are obtained again to confirm whether the adjustment is successful. If the adjusted parameters are consistent with the target parameters, it indicates that the parameter adjustment is successful. If they are still inconsistent after multiple adjustments, the medical device needs to be inspected. By verifying the result of the parameter adjustment, it can ensure that the medical device is in the desired state, enhancing the reliability and stability of the control method.
[0113] Fifth Embodiment:
[0114] A linkage control system based on a medical device, which is used to implement the above linkage control method. The linkage control system includes:
[0115] A storage module, which is used to create and store a device parameter library. The device parameter library includes image features, device indicators, image feature setting parameters, and device indicator parameters. One of the above image features corresponds to at least one device indicator. The device indicators corresponding to one of the above image features are used as a set to obtain a device indicator set. The above image feature setting parameters correspond one-to-one with the device indicator parameters of each device indicator in the device indicator set.
[0116] An acquisition module, which is used to obtain the inspection report of the medical imaging device.
[0117] A processing module, which is connected to the storage module and the acquisition module. The processing module is used to extract image information from the inspection report. The image information consists of several image feature data. The device indicator parameters corresponding to the image feature data are extracted from the device parameter library to obtain a target parameter set.
[0118] An allocation module, which is connected to the processing module. The allocation module is used to allocate medical devices based on the image information.
[0119] An adjustment module, which is connected to the processing module. The adjustment module is used to adjust the device indicator parameters of the medical device to the corresponding target parameters.
[0120] In a specific embodiment, the allocation module is connected to the storage module. The storage module also stores a device usage status library.
[0121] The above allocation module is used to allocate medical devices based on the image information. The specific steps include:
[0122] The above processing module extracts image features from the image information, obtains the device indicators corresponding to the image features by calling the device parameter library in the storage module, and determines the device type.
[0123] By calling the device usage status library of the device type in the above storage module; wherein, the above device usage status library includes the device code, device location and usage status of the medical device.
[0124] The above processing module extracts the device location in the to-be-used status from the device usage status library.
[0125] The above allocation module obtains the location of the medical imaging device to get the starting location; according to the above starting location and the device location in the to-be-used status, calculates the distance from the medical imaging device to the to-be-used medical device, and determines the allocated medical device by using the bubble sort method.
[0126] In a specific embodiment, the above processing module executes the following steps: extracts the identity information from the inspection report; after allocating to the above medical device, associates the above identity information with the device code of the medical device; adds the above identity information to the device usage status library and updates the usage status.
[0127] In a specific embodiment, the above allocation module is further used to determine the priority of allocating medical devices for the identity information, and the specific steps include:
[0128] According to the time sequence of extracting the above image information;
[0129] When extracting the image information of multiple above identity information at the same time, the above processing module respectively extracts the image features in the image information, and obtains the device indicators corresponding to the image features by calling the device parameter library in the storage module.
[0130] The above allocation module counts the number of device indicators, arranges them in descending order according to the number of the above device indicators, and obtains the priority of allocating medical devices.
[0131] Sixth Embodiment:
[0132] A computer-readable storage medium, on which computer program instructions are stored, and when the above computer program instructions are executed by a processor, the above linkage control method is implemented.
[0133] The above specific implementation manners further elaborate the purpose, technical solution and beneficial effects of the present invention. It should be understood that the above are only the specific implementation manners of the present invention and are not used to limit the protection scope of the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.
Claims
1. A linkage control method based on medical devices, characterized in that, Including the following steps: S100. Create a device parameter library, where the device parameter library includes image features, device indicators, image feature setting parameters, and device indicator parameters. Among them, one image feature corresponds to at least one device indicator. The device indicators corresponding to one image feature are taken as a set to obtain a device indicator set. The image feature setting parameters correspond one-to-one with the device indicator parameters of each device indicator in the device indicator set. S200. Obtain the inspection report of the medical imaging device and extract image information from the inspection report. The image information is composed of several image feature data. Based on the image information, allocate medical devices. S300. Extract the respective device indicator parameters corresponding to the image feature data from the device parameter library to obtain a target parameter set. S400. Adjust the device indicator parameters of the medical device to the corresponding target parameters.
2. The linkage control method according to claim 1, wherein, Based on the image information, allocating medical devices specifically includes the following steps: S210. Extract image features from the image information, obtain the device indicators corresponding to the image features through the device parameter library, and determine the device type. S220. Retrieve the device usage status library of the device type. Among them, the device usage status library includes the device code, device location, and usage status of the medical device. S230. Extract the device locations in the to-be-used status from the device usage status library. S240. Obtain the location of the medical imaging device to get the starting location. S250. Calculate the distance from the medical imaging device to the to-be-used medical device according to the starting location and the device location in the to-be-used status, and use the bubble sort method to determine the allocated medical device.
3. The linkage control method according to claim 1, characterized in that, Extract identity information from the inspection report. After allocating the medical device, associate the identity information with the device code of the medical device. Add the identity information to the device usage status library and update the usage status.
4. The linkage control method according to claim 3, wherein The allocation of medical devices further includes the following steps: Determine the priority of allocating medical devices for identity information according to the chronological order of extracting the image information. When extracting the image information of multiple identity information at the same time, respectively extract the image features in the image information, obtain the device indicators corresponding to the image features through the device parameter library, and count the number of device indicators. Arrange them in descending order according to the number of device indicators to obtain the priority of allocating medical devices.
5. The linkage control method according to claim 1, wherein Adjusting the device indicator parameters of the medical device to the corresponding target parameters specifically includes the following steps: S410. Obtain the device indicator parameters of the medical device at the current moment to get a first current indicator parameter set. The device indicators corresponding to those in the first current indicator parameter set correspond one-to-one with the device indicators in the device indicator set. S420. Compare the first current indicator parameter set with the target parameter set, and judge whether for the same device indicator, the first current indicator parameter is equal to the corresponding target parameter. If the first current indicator parameter is equal to the corresponding target parameter, the device indicator is classified as a non-processing object. If the first current indicator parameter is not equal to the corresponding target parameter, the device indicator is classified as a to-be-processed object. S430. Adjust the parameters of the object to be processed in the medical device to the corresponding target parameters.
6. The linkage control method according to claim 5, wherein After S430, it is also necessary to determine whether the adjustment of the device index parameters of the medical device is successful. The specific steps include: S440. After adjusting the device index parameters of the medical device, obtain the device index parameters of the medical device to obtain a second set of current index parameters; the device indexes corresponding in the second set of current index parameters correspond one by one to the device indexes in the device index set. S450. Compare the second set of current index parameters and the target parameter set to determine whether there is the same device index and the second current index parameter is not equal to the corresponding target parameter. S452. If not, the adjustment of the device index parameters of the medical device is successful. S452. If there is, the device index is classified as an object to be processed, the parameters of the object to be processed are adjusted to the corresponding target parameters, and the adjustment times are incremented by 1; where the initial value of the adjustment times is 0. Return to S440 to continue execution. When the adjustment times is equal to 3, generate a maintenance instruction.
7. A linkage control system based on medical devices, characterized in that, This linkage control system is used to implement the linkage control method described in any one of claims 1 to 6; this linkage control system includes: A storage module, which is used to create and store a device parameter library. The device parameter library includes image features, device indexes, image feature setting parameters, and device index parameters; where one image feature corresponds to at least one device index, and the device indexes corresponding to one image feature are used as a set to obtain a device index set; the image feature setting parameters correspond one by one to the device index parameters of each device index in the device index set. An acquisition module, which is used to obtain the inspection report of the medical imaging device. A processing module, which is connected to the storage module and the acquisition module; the processing module is used to extract image information from the inspection report; the image information is composed of several image feature data; extract the corresponding device index parameters of each image feature data from the device parameter library to obtain a target parameter set. An allocation module, which is connected to the processing module, and the allocation module is used to allocate medical devices based on the image information. An adjustment module, which is connected to the processing module, and the adjustment module is used to adjust the device index parameters of the medical device to the corresponding target parameters.
8. The linkage control system according to claim 7, wherein, The allocation module is connected to the storage module; the storage module also stores a device usage status library. The allocation module is used to allocate medical devices based on the image information. The specific steps include: The processing module extracts the image feature from the image information, and by calling the device parameter library in the storage module, obtains the device index corresponding to the image feature to determine the device type. By calling the device usage status library of the device type in the storage module; where the device usage status library includes the device code, device location, and usage status of the medical device. The processing module extracts the device location in the to-be-used status from the device usage status library. Obtain the position of the medical imaging device by the said allocation module to get the starting position; calculate the distance from the medical imaging device to the medical device to be used according to the starting position and the position of the device in the to-be-used state, and determine the allocated medical device by using the bubble sort method.
9. The linkage control system according to claim 7, wherein The said allocation module is also used to determine the priority of allocating medical devices for identity information, and the specific steps include: According to the chronological order of extracting the said image information; When multiple pieces of the said image information are extracted at the same time, the processing module respectively extracts the imaging features in the image information, and obtains the device indicators corresponding to the imaging features by calling the device parameter library in the storage module; The allocation module counts the number of device indicators, arranges them in descending order according to the number of the device indicators, and obtains the priority of allocating medical devices.
10. A computer-readable storage medium having computer program instructions stored thereon, characterized in that, When the said computer program instructions are executed by a processor, the linkage control method described in any one of claims 1 to 6 is implemented.