Method and system for automatically checking, receiving and registering samples

Abstract

The invention discloses a method for automatically checking, receiving and registering a sample. The method comprises the following steps: S1, grabbing a sample bottle or bag; s2, multi-angle photographing is carried out, an AI algorithm is utilized to confirm that a sample exists in the sample bottle (bag), and if the sample exists, a picture which can best reflect a scene is reserved for tracing and rechecking; s3, transferring the sample bottles or bags with samples to a bar code scanning area, scanning bar code information by using a code scanning device, checking the bar code information with patient information and sample information on an information system, and automatically registering and receiving in a pathology system and endowing a pathology number when the bar code information is consistent with the patient information and the sample information; and S4, transferring the specimen bottle or bag to a label printing and pasting area, and directly printing pathological number information on the specimen bottle or bag through laser code spraying or other modes. The system can automatically identify samples, check and confirm whether the samples exist or not and store check results, can automatically give pathological numbers and record related node information on a pathological information system, and can automatically print or paste labels containing information such as the pathological numbers on sample bottles or bags.

Description

Technical Field

[0001] The present invention belongs to the technical field of pathology process, and in particular relates to a method and system for automatically checking, receiving and registering samples. Background Art

[0002] In the current pathology department process, staff usually hold the tissue specimen bottle or bag, visually inspect the bottle (bag) to confirm the presence of the sample, and then use a barcode scanner to scan the barcode on the bottle (bag) and assign a pathology number in the pathology system. There are even many pathology departments with incomplete information system functions. Because the pathology system is not connected to the hospital system, scanning and registration cannot be implemented, and manual typing is required to enter the system.

[0003] ISO15189 [CNAS-CL02] stipulates that specimens must be assigned a unique pathology number immediately after receipt, and a label with this number must be affixed to the specimen bottle or bag. Currently, this requirement is only implemented in a very small number of third-party testing institutions due to the small number of specimens and the ability to manually affix labels. Other institutions are unable to implement this requirement due to the huge workload and the inability to automate it.

[0004] In summary, currently, after pathological samples enter the pathology department, the following processes need to be carried out:

[0005] 1. The samples need to be inspected with the naked eye, and each bag of specimens needs to be checked for the presence or absence of any pathogens;

[0006] 2. Manually scan the barcode of each bag of specimens and enter it into the system;

[0007] 3. It is not possible to take photos or keep records of the specimen confirmation at the time, which makes it difficult to trace back to the source when necessary;

[0008] 4. A label printer is required to print out labels and then paste them manually. There is no automatic label printing and pasting function or the function of automatically printing on specimen bottles or bags.

[0009] The above processes all rely on manual reception and verification, which is time-consuming and labor-intensive, and carries a high risk of error. Summary of the Invention

[0010] To address the aforementioned technical issues in the prior art, the present invention provides a method and system for automatically verifying, receiving, and registering specimens. The system automatically identifies specimen bottles or bags, verifies the presence of specimens, and stores the verification results. It also scans the barcode on the specimen bottle or bag, verifies it with the information system, and automatically registers and assigns a pathology number if the result is correct. It also automatically prints or affixes a label containing information such as the pathology number to the specimen bottle or bag. If any process is abnormal, the specimen bottle or bag can be moved to an abnormal area for manual intervention. Multiple modules are linked together to achieve complete sample verification, receipt, registration, and label printing (affixing).

[0011] The technical solution adopted in the present invention is:

[0012] The first aspect of the present invention relates to a method for automatic sample verification, reception and registration, characterized in that the specific steps are as follows:

[0013] S1. Grab specimen bottle or bag

[0014] When the controller senses that there is a specimen bottle or bag in the specimen frame, it controls the transfer device to transfer the specimen bottle or bag to the specimen verification and confirmation area;

[0015] S2. Sample Identification

[0016] Use a high-definition camera to take photos of the specimen bottle or bag from multiple angles, and use AI algorithms to confirm the presence of a sample in the specimen bottle or bag. If the sample is confirmed to be present, the photo that best reflects the scene is retained for traceability review; if the sample is confirmed to be absent, the specimen bottle or bag is moved to the abnormal area for manual intervention;

[0017] S3. Sample Verification

[0018] Transfer the specimen bottle or bag containing the sample to the barcode scanning area. Use the barcode scanner to scan the barcode information on the sample and check it with the patient information and specimen information in the information system. If they are consistent, it will be automatically registered and received in the pathology system and assigned a pathology number. If there is no data in the system, the specimen bottle or bag will be transferred to the abnormal area for manual intervention.

[0019] S4. Label printing

[0020] After the information is verified and the pathology number is assigned for registration, the specimen bottle or bag is moved to the label printing and pasting area, where the pathology number information is printed directly on the specimen bottle or bag by laser coding or other means; or a label containing the pathology number information is printed by a label printing device and automatically pasted on the specimen; if the label printing and pasting process is abnormal, the specimen bottle or bag is moved to the abnormal area for manual intervention;

[0021] S5. Exception handling

[0022] For samples in the above abnormal areas, alarms are used to remind human intervention.

[0023] Furthermore, the specific process of step S1 is as follows:

[0024] S11. Specimen bottles or bags enter the sample sorting basket in the pathology department;

[0025] S12, the system detects the presence of a new specimen bottle or bag and notifies the transfer device to transfer the specimen bottle or bag;

[0026] S13. The transfer device identifies the position of the specimen bottle or bag and grabs the specimen bottle or bag.

[0027] Furthermore, the specific process of step S2 is as follows:

[0028] S21. The transfer device transfers the specimen bottle or bag to the specimen verification and confirmation area;

[0029] S22. After arriving at the location, trigger the photo recognition to identify the barcode and sample photo on the specimen bottle or bag;

[0030] S23. Query the sample information in the background system through the barcode number.

[0031] Furthermore, the specific process of step S3 is as follows:

[0032] S31. Obtain the sample quantity and trait description through the information returned by the backend system;

[0033] S32. Detect the number of samples in the image through image recognition;

[0034] S33. Ensure the consistency of sample quantity by checking with the backend system.

[0035] Furthermore, the specific process of step S4 is as follows:

[0036] S41. After identification and verification, the label information is sent to the label numbering machine;

[0037] S42, label printer prints labels onto specimens using laser, inkjet, or ribbon methods;

[0038] S43. Execution completed, continue to the next one.

[0039] A second aspect of the present invention relates to a sample automatic verification, reception and registration system, characterized by comprising:

[0040] Specimen frame, used to place specimen bottles or bags;

[0041] Transfer device, automatically grabs specimen bottles or bags according to the location of the target object;

[0042] High-definition camera, used to take photos of specimen bottles or bags and the samples inside from multiple angles, and transmit the collected images to the controller;

[0043] A label printer is used to print sample information to a designated location on the target sample;

[0044] Abnormal sample processing area: when a sample is detected to be abnormal, the transfer device will transfer the sample to this area. After the sample enters this area, the controller will remind the personnel to intervene.

[0045] The controller is respectively connected to the transfer device, high-definition camera, label printer and abnormal sample processing area, and performs incoming material detection, sample position detection and sample counting.

[0046] Furthermore, the incoming material detection is specifically as follows:

[0047] The controller detects the sample frame in real time, compares the empty frame with the image, and determines whether a new specimen bottle or bag is added; when a specimen bottle or bag is detected in the sample frame, the robot is triggered to grab the specimen bottle or bag.

[0048] Furthermore, the sample position detection is specifically as follows:

[0049] The controller automatically corrects the image captured by the high-definition camera through an image correction algorithm, and then obtains the difference information groups (△X1, △Y1), (△X2, △Y2), and (△X3, △Y3) by comparing the original frame photo and the target image; finally, the real position of the target (X1, Y1) is obtained through position mapping.

[0050] Furthermore, the sample count is specifically as follows:

[0051] While the sample is shaking, the high-definition camera quickly captures multiple images. The controller performs sample detection on multiple images separately, selects a maximum of one image for sample recognition, and saves it to the system.

[0052] Furthermore, the sample frame is designed in a grid or slot shape to facilitate grasping by a robot.

[0053] The technical concept of the present invention is:

[0054] 1. The present invention utilizes the automatic sensing function of the controller. When there is a specimen bottle or bag in the sample frame, the manipulator automatically grabs the specimen bottle or bag, or the sample transfer system transfers the specimen bottle or bag to the sample verification and confirmation area;

[0055] 2. The present invention uses a high-definition camera to take photos of the sample (i.e., the material in the specimen bottle or bag (specimen and fixative) from multiple angles, and uses an AI algorithm to confirm the presence of the specimen in the bottle (bag), and retains the photo that best reflects the scene for traceability and review; if the algorithm confirms that there is no specimen in the bottle (bag), the specimen bottle or bag is moved to the abnormal area for manual intervention;

[0056] 3. In the present invention, the transfer device (manipulator) transfers the specimen to the barcode scanning area, uses the barcode scanning device to scan the barcode information on the specimen bottle or bag, and verifies it with the patient information and specimen information in the information system. If they are consistent, it is automatically registered and received in the pathology system and assigned a pathology number. If the data in the information system is inconsistent with the specimen information or there is no data in the information system, such as the clinical order has not been issued, the specimen bottle or bag is transferred to the abnormal area for manual intervention.

[0057] 4. In the present invention, after the information is verified and the pathology number is assigned for registration, the specimen bottle or bag is transferred to the label printing (pasting) area, and the pathology number and other information are directly printed on the specimen bottle or bag by laser coding or other means; or a label containing the pathology number and other information is printed by a label printing device and automatically affixed to the specimen bottle or bag; if the label printing and affixing process is abnormal, the specimen bottle or bag is transferred to the abnormal area for manual intervention.

[0058] Compared with the prior art, the beneficial effects of the present invention are embodied in:

[0059] 1. This invention greatly saves labor. In ordinary tertiary hospitals, the registration and reception of samples conservatively takes one person about 4 hours of work. Through this system, the labor time can be greatly reduced, and the labor time can be compressed to within 10 minutes;

[0060] 2. Registration accuracy of the present invention. Due to fatigue and other reasons, manual registration often results in missed inspections and misplaced sample labels. The system greatly reduces manual fatigue and ensures that manual processing only requires difficult samples. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 It is a control flow diagram of the present invention.

[0062] Figure 2a This is a schematic diagram of the sample frame structure of the present invention Figure 1 .

[0063] Figure 2b This is the second schematic diagram of the sample frame structure of the present invention.

[0064] Figure 3 2 is a schematic diagram showing the comparison of images before and after correction of the present invention.

[0065] Figure 4 It is a schematic diagram of a difference information group obtained by the system of the present invention after comparing the original frame photo and the target picture. DETAILED DESCRIPTION

[0066] The following describes the specific implementation of the embodiment of the present invention in detail with reference to the accompanying drawings. It should be understood that the specific implementation described herein is only used to illustrate and explain the embodiment of the present invention and is not used to limit the embodiment of the present invention.

[0067] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features in the embodiments may be combined with each other.

[0068] The present invention will be described in detail below with reference to the accompanying drawings and in conjunction with exemplary embodiments.

[0069] Example 1

[0070] The present invention provides a method for automatically checking and registering samples, and the specific steps are as follows:

[0071] S1. Sample capture

[0072] When the controller senses that there is a specimen bottle or bag in the sample frame, it controls the transfer device to transfer the specimen bottle or bag to the sample verification and confirmation area;

[0073] S2. Sample Identification

[0074] Use a high-definition camera to take photos of the specimen bottle or bag from multiple angles, and use AI algorithms to confirm whether the specimen is present in the bottle or bag. If the specimen is confirmed to be present, the photo that best reflects the scene is retained for traceability review; if the specimen is confirmed to be absent, the specimen bottle or bag is moved to the abnormal area for manual intervention;

[0075] S3. Sample Verification

[0076] Transfer the specimen bottle or bag containing the sample to the barcode scanning area. Use the barcode scanner to scan the barcode information on the sample and check it with the patient information and specimen information in the information system. If they are consistent, it will be automatically registered and received in the pathology system and assigned a pathology number. If there is no data in the system, the specimen bottle or bag will be transferred to the abnormal area for manual intervention.

[0077] S4. Label printing

[0078] After the information is verified and the pathology number is assigned for registration, the specimen bottle or bag is moved to the label printing and pasting area, where the pathology number information is directly printed on the specimen bottle or bag by laser coding or other means; or a label containing the pathology number information is printed by a label printing device and automatically pasted on the specimen bottle or bag; if there is any abnormality in the label printing and pasting process, the specimen bottle or bag is moved to the abnormality area for manual intervention;

[0079] S5. Exception handling

[0080] The specimen bottles or bags in the above abnormal areas will be prompted to intervene manually through alarms.

[0081] In this embodiment, the specific process of step S1 is as follows:

[0082] S11. Specimen bottles or bags enter the sample sorting basket in the pathology department;

[0083] S12, the system detects the presence of a new specimen bottle or bag and notifies the transfer device to transfer the specimen bottle or bag;

[0084] S13. The transfer device identifies the position of the specimen bottle or bag and grabs the specimen bottle or bag.

[0085] In this embodiment, the specific process of step S2 is as follows:

[0086] S21. The transfer device transfers the specimen bottle or bag to the specimen verification and confirmation area;

[0087] S22. After arriving at the location, trigger the photo recognition to identify the sample barcode and sample photo;

[0088] S23. Query the sample information in the background system through the barcode number.

[0089] In this embodiment, the specific process of step S3 is as follows:

[0090] S31. Obtain the sample quantity and trait description through the information returned by the backend system;

[0091] S32. Detect the number of samples in the image through image recognition;

[0092] S33. Ensure the consistency of sample quantity by checking with the backend system.

[0093] In this embodiment, the specific process of step S4 is as follows:

[0094] S41. After identification and verification, the label information is sent to the label numbering machine;

[0095] S42, label printer prints labels onto specimens using laser, inkjet, or ribbon methods;

[0096] S43. Execution completed, continue to the next one.

[0097] Example 2

[0098] The present invention provides a sample automatic verification, reception and registration system, comprising:

[0099] Sample frame, used to hold specimen bottles or bags;

[0100] The transfer device moves between the sample frame, label printer, and abnormal sample processing area under the control of the controller; it automatically grabs the specimen bottle or bag according to the position of the target object;

[0101] High-definition camera, used to take photos of samples from multiple angles and transmit the collected images to the controller;

[0102] A label printer is used to print sample information to a designated location on the target sample;

[0103] Abnormal sample processing area: when the sample test is abnormal, the transfer device transfers the specimen bottle or bag to this area. After the specimen bottle or bag enters this area, the controller reminds the personnel to intervene and handle the problem;

[0104] The controller is respectively connected to the transfer device, high-definition camera, label printer and abnormal sample processing area, and performs incoming material detection, sample position detection and sample counting.

[0105] In this embodiment, the incoming material detection is specifically as follows:

[0106] The controller detects the sample in real time, and determines whether a new sample has been added by comparing the image and the empty frame; when a specimen bottle or bag is detected in the sample frame, the robot is triggered to grab the specimen bottle or bag.

[0107] In this embodiment, the position detection of the specimen bottle or bag is specifically as follows:

[0108] The controller automatically corrects the image captured by the high-definition camera through an image correction algorithm, and then obtains the difference information groups (△X1, △Y1), (△X2, △Y2), and (△X3, △Y3) by comparing the original frame photo and the target image; finally, the real position of the target (X1, Y1) is obtained through position mapping.

[0109] In this embodiment, the sample count is specifically as follows:

[0110] When the specimen bottle or bag is shaken, the high-definition camera quickly captures multiple pictures. The controller performs sample detection on multiple pictures respectively, selects a maximum of one picture for sample identification, and saves it to the system.

[0111] Furthermore, the sample frame is designed in a grid or slot shape to facilitate grasping by a robot.

[0112] The technical concept of the present invention is:

[0113] 1. The present invention utilizes the automatic sensing function of the controller. When there is a specimen bottle or bag in the sample frame, the manipulator automatically grabs the specimen bottle or bag, or the sample transfer system transfers the specimen bottle or bag to the sample verification and confirmation area;

[0114] 2. The present invention uses a high-definition camera to take photos of the sample (i.e., the material in the specimen bottle or bag (specimen and fixative) from multiple angles, and uses an AI algorithm to confirm the presence of the sample in the bottle (bag), and retains the photo that best reflects the scene for traceability and review; if the algorithm confirms that there is no sample in the bottle (bag), the specimen bottle or bag is moved to the abnormal area for manual intervention;

[0115] 3. In the present invention, the transfer device (manipulator) transfers the specimen bottle or bag to the barcode scanning area, uses the barcode scanning device to scan the barcode information on the specimen bottle or bag, and verifies it with the patient information and specimen information in the information system. If they are consistent, it is automatically registered and received in the pathology system and assigned a pathology number. If the data in the information system is inconsistent with the specimen information or there is no data in the information system, such as the clinical order has not been issued, the specimen bottle or bag is transferred to the abnormal area for manual intervention;

[0116] 4. In the present invention, after the information is verified and the pathology number is assigned for registration, the specimen bottle or bag is transferred to the label printing (pasting) area, and the pathology number and other information are directly printed on the specimen bottle or bag by laser coding or other means; or a label containing the pathology number and other information is printed by a label printing device and automatically affixed to the specimen bottle or bag; if the label printing and affixing process is abnormal, the specimen bottle or bag is transferred to the abnormal area for manual intervention.

[0117] Although the embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and are not to be construed as limitations on the present invention. A person skilled in the art may change, modify, replace and modify the above embodiments within the scope of the present invention.

Claims

1. A method for automatically checking and registering samples, characterized in that: The specific steps are as follows: S1. Sample capture When the controller senses that there is a specimen bottle or bag in the sample frame, it controls the transfer device to transfer the specimen bottle or bag to the sample verification and confirmation area; S2. Sample Identification Use a high-definition camera to take photos of the sample from multiple angles, and use AI algorithms to confirm the presence of the sample in the specimen bottle or bag. If the sample is confirmed to be present, the photo that best reflects the scene is retained for traceability review; if the sample is confirmed to be absent, the specimen bottle or bag is moved to the abnormal area for manual intervention; S3. Sample Verification Transfer the specimen bottle or bag containing the sample to the barcode scanning area. Use the barcode scanner to scan the barcode information on the sample and check it with the patient information and specimen information in the information system. If they are consistent, it will be automatically registered and received in the pathology system and assigned a pathology number. If there is no data in the system, the specimen bottle or bag will be transferred to the abnormal area for manual intervention. S4. Label printing After the information is verified and the pathology number is assigned for registration, the specimen bottle or bag is moved to the label printing and pasting area, where the pathology number information is directly printed on the specimen bottle or bag by laser coding or other means; or a label containing the pathology number information is printed by a label printing device and automatically pasted on the specimen bottle or bag; if there is any abnormality in the label printing and pasting process, the specimen bottle or bag is moved to the abnormality area for manual intervention; S5. Exception handling The specimen bottles or bags in the above abnormal areas will be prompted to intervene manually through alarms.

2. A method for automatic sample verification, reception and registration as claimed in claim 1, characterized in that: The specific process of step S1 is as follows: S11. Specimen bottles or bags enter the sample sorting basket in the pathology department; S12, the system detects the presence of a new specimen bottle or bag and notifies the transfer device to transfer the specimen bottle or bag; S13. The transfer device identifies the position of the specimen bottle or bag and grabs the specimen bottle or bag.

3. A method for automatic sample verification, reception and registration as claimed in claim 1, characterized in that: The specific process of step S2 is as follows: S21. The transfer device transfers the specimen bottle or bag to the specimen verification and confirmation area; S22. After arriving at the location, trigger the photo recognition to identify the barcode and sample photo on the specimen bottle or bag; S23. Query the sample information in the background system through the barcode number.

4. A method for automatically checking and registering samples according to claim 1, characterized in that: The specific process of step S3 is as follows: S31. Obtain the sample quantity and trait description through the information returned by the backend system; S32. Detect the number of samples in the image through image recognition; S33. Ensure the consistency of sample quantity by checking with the backend system.

5. The method for automatically checking and registering samples according to claim 1, wherein: The specific process of step S4 is as follows: S41. After identification and verification, the label information is sent to the label numbering machine; S42, label printer prints labels onto specimens using laser, inkjet, or ribbon methods; S43. Execution completed, continue to the next one.

6. A sample automatic verification and registration system, characterized in that: include: Sample frame, used to hold specimen bottles or bags; Transfer device, automatically grabs specimen bottles or bags according to the location of the target object; High-definition camera, used to take photos of samples from multiple angles and transmit the collected images to the controller; A label printer is used to print sample information to a designated location on the target sample; Abnormal sample processing area: when the sample detection is abnormal, the transfer device transfers the specimen bottle or bag to this area. After the specimen bottle or bag enters this area, the controller reminds the personnel to intervene and handle it. ； The controller is respectively connected to the transfer device, high-definition camera, label printer and abnormal sample processing area, and performs incoming material detection, sample position detection and sample counting.

7. The automatic sample verification and registration system according to claim 6, characterized in that: The incoming material inspection is as follows: The controller detects the sample in real time, and determines whether a new specimen bottle or bag is added by comparing the image and the empty frame; when a specimen bottle or bag is detected in the sample frame, the robot is triggered to grab the specimen bottle or bag.

8. The automatic sample verification and registration system according to claim 6, characterized in that: The sample position detection is specifically as follows: The controller automatically corrects the image captured by the high-definition camera through an image correction algorithm, and then obtains the difference information groups (△X1, △Y1), (△X2, △Y2), and (△X3, △Y3) by comparing the original frame photo and the target image; finally, the real position of the target (X1, Y1) is obtained through position mapping.

9. The automatic sample verification and registration system according to claim 6, characterized in that: The sample counts are as follows: When the specimen bottle or bag is shaken, the high-definition camera quickly captures multiple pictures. The controller performs sample detection on multiple pictures respectively, selects a maximum of one picture for sample identification, and saves it to the system.

10. The automatic sample checking and receiving registration system according to claim 6, characterized in that: The sample frame is designed in a grid shape or a slot shape, which is convenient for a robot to grasp.

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