Marking method

Through the camera of the intelligent device, the information on the bracket and the precautions in the database are identified, and the augmented reality technology is used to display the test object container that should be extracted in the automatic analysis device, which solves the problem of inefficient test object extraction caused by unchecked items, and realizes efficient and reliable test object processing.

CN112557676BActive Publication Date: 2025-04-29HITACHI HIGH TECH CORP
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Patent Information

Application Number
CN202011419839.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Priority Date
2015-08-25
Filing Date
2016-06-15
Publication Date
2025-04-29
Estimated Expiration
2036-06-15

AI Technical Summary

Technical Problem

When using automatic analysis device to conduct inspection of the test body, the problem of residual items that are not inspected cannot be effectively solved, resulting in the process of extraction of the test body and inefficient.

Method used

By identifying the bracket ID and identifier on the bracket in the camera of the smart device, combining the precautions in the database, using augmented reality technology to display the detector container to be extracted in the image, and the display and clear marks are controlled through the operation section.

Benefits of technology

It is possible to reliably determine the test objects that need to be reprocessed from multiple test objects containers, improve the efficiency of the test objects extraction operation, and reduce the operation burden on the inspection technician.

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Abstract

The present invention proposes a method for providing sample information. In order to clearly distinguish the sample that should be extracted due to the remaining unchecked items from the rack (31) recovered into the storage unit (13) and the rack (31) taken out from the storage unit (13), the rack (31) is projected by a camera (18d) of a smart device (18), and based on the combined information of the rack ID (33) and the identifier (34) and the sample information of each position received from the operation unit (16), the position of the sample that should be extracted due to the remaining unchecked items is marked (32) by AR technology in the operation unit (18e) of the smart device (18). In this way, the sample that should be extracted can be reliably determined from the multiple sample containers mounted on the retaining rack regardless of the inside and outside of the device or the location.
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Description

[0001] This application is a divisional application of application No. 201680041005.6, entitled “Automatic Analyzer and Automated Sample Inspection System,” filed with the State Intellectual Property Office of China on June 15, 2016. Technical Field

[0002] The present invention relates to an automatic analyzing device for analyzing a sample such as blood or urine in a clinical examination and an automated sample inspection system for processing the sample. Background Art

[0003] For the purpose of quickly confirming abnormalities when abnormal sampling is performed, patent document 1 proposes an automatic chemical analysis device, in which a sampling quality display unit is provided in the sampling section to detect whether normal sampling has been performed and display the results, and a sample identification unit is provided to identify the quality of the sample based on the detection results.

[0004] In addition, for the purpose of improving the efficiency of operations related to the operating panel of medical equipment, the following medical operation support system is proposed in patent document 2, which includes a terminal device, an identification unit, and a function display unit, the terminal device has a camera for photographing the surroundings and a display for displaying the image photographed by the camera, the identification unit identifies the operating element from an image of the operating panel of the medical equipment configured with multiple operating elements displayed on the display, the function display unit determines the function assigned to the operating element identified by the identification unit based on function allocation information showing the allocation of functions to each of the operating elements configured on the operating panel, and displays the information showing the determined function on the display in association with the area of ​​the operating element contained in the image of the operating panel.

[0005] Prior Art Literature

[0006] Patent Literature

[0007] Patent Document 1: Japanese Patent Application Laid-Open No. 1-219564

[0008] Patent Document 2: Japanese Patent Application Publication No. 2014-32620 Summary of the invention

[0009] Problems to be solved by the invention

[0010] Automatic analyzers for qualitative and quantitative analysis of blood, urine, and other biological samples (infectious substances) from patients have become increasingly popular, mainly in many large hospitals and testing centers, due to demands for rapid and accurate analysis.

[0011] In addition, before the sample is analyzed by the automatic analyzer, various processes are performed according to the commissioned contents, such as centrifugal separation of the sample, dispensing of the sample into a dedicated container for each automatic analyzer, and affixing of a barcode label to the sample container. In order to save labor and improve efficiency of sample inspection, the introduction of a sample inspection automation system for automatically performing such processes is being promoted.

[0012] In the past, when a part of the inspection items cannot be analyzed, the automatic analyzer itself will generate an alarm to notify the inspection technician who is operating. However, before the inspection technician stops the operation, the operation state of the automatic analyzer will remain the same and continue. Therefore, a plurality of inspection items that cannot be analyzed will be generated as uninspected and residual test bodies. In this case, in order to extract the test bodies remaining in these uninspected items, it is necessary to perform the extraction operation while referring to the monitor of the operation unit. In addition, the details of the uninspected items cannot be confirmed without switching to other screens, which is very time-consuming.

[0013] Patent Document 1 discloses that the location of a sample having sampling abnormality is clearly indicated by lighting an LED light provided in the device and printing a mark directly on the sample.

[0014] However, the LED light is mounted on the device, and does not correspond to the position of the test object taken out of the device. In order to correspond to the test object taken out of the device, the mark is directly printed on the test object container, but in this case, the orientation of all test objects needs to be aligned manually and visually confirmed without omission. In addition, in order to reliably visually check the absence of the mark, the test object must be rotated more than one circle by manual operation. Therefore, there is still ample room for improvement.

[0015] In addition, as a place to print the mark directly on the sample, the margin of the barcode label affixed to the sample can be considered, but there is a risk that the printed mark will cover the barcode, etc., causing poor barcode reading. Furthermore, even if you want to print directly on the part of the sample container where the barcode label is not affixed, there is still a problem that it is difficult to print as intended.

[0016] In addition, Patent Document 2 proposes a medical work support system that performs device button function assignment and button function guidance display on a smart device screen. The medical work support system of Patent Document 2 is a technology belonging to the same medical system field as automatic analyzers and sample inspection automation systems.

[0017] However, the automatic analyzer and the sample inspection automation system are devices and systems in which the inspection technician directly operates the sample and operates the container in which the sample is placed. In such devices and systems, in order to avoid direct contact of the skin with the sample in the sample container, the technician usually wears protective equipment such as plastic gloves to prevent infection when working.

[0018] If the technology of the medical operation support system of Patent Document 2 is directly applied to an automatic analyzer or a sample inspection automation system, the gloves touching the sample container will also touch the screen of the smart device. Therefore, although it is a small amount, it is possible that contaminants will also adhere to the smart device, increasing the risk of contamination around the device and system. In addition, although it is also conceivable to wear gloves every time when operating the sample container and take off the gloves every time when operating the screen of the smart device, it is very complicated and not realistic.

[0019] Even without considering putting on and taking off gloves, in order to photograph the test object with the camera of the smart device, that is, the operation of the test object located inside the smart device and the operation of the screen in front of the smart device require alternating use of hands, which becomes complicated.

[0020] The present invention has been completed in view of the above, and its purpose is to realize an automatic analysis device and a sample inspection automation system that can reliably determine the sample to be extracted from a plurality of sample containers mounted on a retaining rack regardless of the inside or outside of the device and the location.

[0021] Technical solutions to solve problems

[0022] In order to solve the above-mentioned problems, for example, the configuration described in the claims is adopted.

[0023] The present invention includes multiple units for solving the above-mentioned problems. One example is an automatic analysis device, which is characterized by comprising: a measurement processing unit that measures the concentration of biological components contained in a test body; an operation unit that controls the measurement processing unit; a database that stores precaution information for the test body; an intelligent device that has a camera unit that photographs a retaining rack that houses a test body container that houses the test body; and a calculation unit that determines, based on the precaution information stored in the database, a test body container that houses the test body with the precaution information that is reflected in an image captured by the camera unit of the intelligent device, and displays a mark on the determined test body container, the calculation unit determines whether the displayed mark is a mark that should be assigned, and clears the display of the mark if it is determined that the mark is not a mark that should be assigned based on the result of the determination.

[0024] Effects of the Invention

[0025] According to the present invention, it is possible to easily, reliably and efficiently identify sample containers to be extracted such as samples requiring reprocessing from a plurality of sample containers mounted on a holder and having been processed once. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a top view of a rack for mounting sample containers.

[0027] Figure 2 It is a side view of a rack for mounting sample containers.

[0028] Figure 3 This is a block diagram showing an example of the configuration of the automatic analyzer according to the first embodiment of the present invention.

[0029] Figure 4 This is a block diagram showing an example of the configuration of the smart device, the operation unit, and the database portion in the automatic analysis device according to the first embodiment.

[0030] Figure 5 This is a diagram showing an example of table data included in the automatic analyzer according to the first embodiment.

[0031] Figure 6 This is a diagram showing a state in which, in the automatic analyzer of the first embodiment, a rack on which sample containers are mounted is displayed from directly above by a smart device, and marks are given to samples to be extracted due to remaining untested items, etc.

[0032] Figure 7 This is a diagram showing a state in which, in the automatic analyzer of the first embodiment, a rack on which sample containers are placed is displayed from directly above by a smart device, and an action of grasping a sample with a mark is displayed to provide guidance.

[0033] Figure 8 This figure shows a state where, in the automatic analyzer of the first embodiment, a rack on which sample containers are mounted is displayed from directly above by a smart device, and the action of pointing to a sample with a mark by hand is displayed, and an instruction is given to notify a higher-level system.

[0034] Fig. 9 This is a flowchart of the process of assigning a mark to a sample in the automatic analyzer according to the first embodiment.

[0035] Fig.10 This is a flowchart of a process for providing guidance of a sample and notifying a higher-level system in the automatic analyzer of the first embodiment.

[0036] Fig.11 This is a top view of a tray on which sample containers are mounted.

[0037] Fig.12 This is a block diagram showing an example of the configuration of a sample testing automation system according to the second embodiment of the present invention.

[0038] Fig.13 This is a block diagram showing an example of the configuration of an intelligent device, an operation unit, and a database portion in the sample testing automation system according to the second embodiment. DETAILED DESCRIPTION

[0039] Hereinafter, embodiments of the automatic analyzer and sample testing automation system of the present invention will be described using the drawings.

[0040] <First Embodiment>

[0041] As a first embodiment of the present invention, using Figures 1 to 10 The automatic analysis device will be described.

[0042] First, as an example of a holder used in the automatic analyzer 1, Figure 1 as well as Figure 2 The outline of the bracket 31 will be described. Figure 1 as well as Figure 2 1 is a diagram showing details of a rack 31 mainly processed in the automatic analyzer 1. Figure 1 is a diagram showing the upper surface of the bracket 31, Figure 2 It is a figure which shows a side surface.

[0043] exist Figure 1 as well as Figure 2 , a state where a sample container 61 is mounted on the rack 31 is shown. Figure 1 as well as Figure 2 As shown, the bracket 31 is a type of retaining rack capable of providing a plurality of specimen containers 61 for containing blood, urine, etc. of a patient as a test body (infectious substance), and a bracket ID label 33 and an identifier 34 are provided on the upper surface of the bracket 31 as marks.

[0044] Next, refer to Figures 3 to 5 The outline of the automatic analyzer 1 will be described. Figure 3 : is a block diagram showing the automatic analysis device 1 . Figure 4 It is a block diagram showing details of the operation unit 16 , the database 17 , and the smart device 18 . Figure 5 17 is a diagram showing table data 17 a stored in the database 17 .

[0045] Figure 3The automatic analyzer 1 shown includes an input unit 11, a processing unit 12, a storage unit 13, a monitor 14, a communication unit 15, an operation unit 16, a database (DB) 17, an intelligent device 18, and a transmission line 19. The automatic analyzer 1 is connected to a LIS (Laboratory Information System) 20 and a HIS (Hospital Information System) 21 via the communication unit 15.

[0046] The LIS 20 is an automatic analyzer 1 and a sample inspection automation system 2 described later (see Fig.12 ) controls the entirety of the automatic analyzer 1 and the sample inspection automation system 2 described later. The HIS 20 is a system used on the clinical side and is a system located above the LIS 20.

[0047] The loading section 11 is a part for loading the rack 31 on which the sample containers 61 containing the sample are mounted into the automatic analyzer 1, and has a sample scanner 11a. The sample scanner 11a is a device for reading the sample barcode attached to the sample container 61 loaded from the loading section 11, and identifying the rack ID label 33 and the identifier 34 provided on the rack 31 containing the sample container 61, and for determining which sample container 61 is mounted on which rack ID 33 and the position of the identifier 34.

[0048] The processing unit 12 is a part for measuring the concentration of biological components contained in the test body, and has a reaction container 204, a reaction disk mechanism 205, a constant temperature bath 207, a reagent storage unit 209, a test body dispensing mechanism 210, a reagent dispensing mechanism 211, a stirring mechanism 212, a washing mechanism 213, a light source 214, a photometer 215, and an A / D (Analog / Digital) converter 216.

[0049] The reaction container 204 is a container in which reagents and samples are placed and reacted.

[0050] The reaction disk mechanism 205 is a member that holds a plurality of reaction containers 204. The reaction disk mechanism 205 also transports the reaction container 204 placed thereon to a designated position.

[0051] The constant temperature chamber 207 is a mechanism for maintaining the reaction container 204 provided on the reaction disk mechanism 205 at a predetermined temperature, and maintains the reaction container 204 at a predetermined temperature.

[0052] The reagent storage unit 209 is a member that holds a plurality of reagent bottles 208 that are containers for storing reagents used in analysis. The reagent storage unit 209 also transports the reagent bottles 208 placed in the reagent storage unit 209 to a designated position.

[0053] The sample dispensing mechanism 210 is a device that includes a sample dispensing probe and divides the sample into predetermined amounts. The sample dispensing mechanism 210 dispenses a predetermined amount of the sample placed in the sample container 61 into the reaction container 204 .

[0054] The reagent dispensing mechanism 211 is a device that includes a reagent dispensing probe and divides a reagent into predetermined amounts. The reagent dispensing mechanism 211 dispenses a predetermined amount of the reagent placed in the reagent bottle 208 into the reaction container 204 .

[0055] The stirring mechanism 212 is a device that stirs the solution of the reagent and the sample placed in the reaction container 204 to make the distribution state of the components uniform.

[0056] The washing mechanism 213 is a device that sucks waste liquid and ejects washing liquid. The washing mechanism 213 sucks the solution of the reagent and the sample put into the reaction container 204. In addition, the washing mechanism 213 ejects the washing liquid into the reaction container 204 to wash the reaction container 204.

[0057] The light source 214 is a part that emits light for absorbance measurement, and is composed of a halogen lamp, LED, or the like.

[0058] The photometer 215 is a part that receives light emitted from the light source 214 and passes through the reaction container 204 to measure the absorbance of the solution in the reaction container 204 , and is composed of a spectrophotometer, etc. The photometer 215 sends information on the absorbance to the A / D converter 216 .

[0059] The A / D converter 216 is a device that converts an analog signal into a digital signal, and after converting the input analog signal into a digital signal, records it in the database 17 .

[0060] The accommodation portion 13 is a portion that accommodates the bracket 31 .

[0061] The monitor 14 displays measurement item information and inspection results.

[0062] The communication unit 15 is a cable, wireless or other means for performing mutual communication among the mechanisms in the automatic analyzer 1 .

[0063] like Figure 4 As shown, the operation unit 16 includes a communication processing unit 16a, a unit operation control unit 16b, and an analysis calculation unit 16c.

[0064] The communication processing section 16a controls the communication with each mechanism in the automatic analyzer 1 via the communication unit 15, and the communication processing with the LIS 20, HIS 21, etc., and cooperates with information to exchange measurement item information and test results, update the content of the information related to the sample stored in the database 17, and display the content of the information related to the sample on the monitor 14. The operation control section 16b of each section controls the operation of each component in the automatic analyzer 1 including the processing section 12. The analysis calculation section 16c calculates the concentration of the biological component contained in the sample based on the digital signal converted by the A / D converter 216 and recorded in the database 17.

[0065] The database 17 stores table data 17a related to the rack 31 put into the automatic analyzer 1. Figure 5 As shown, table data 17a records: the sample ID determined by the sample scanner 11a; the rack ID of the rack on which the sample container 61 accommodating the sample is mounted; and the identifier in the rack, a re-inspection flag for determining whether re-inspection of the sample is required, an uninspected flag for determining whether there are any uninspected items, an additional inspection flag for determining whether there is a request for additional inspection input via HIS21, etc., and precaution information such as which items need to be re-inspected.

[0066] Back to Figure 4 The smart device 18 has a display unit 18a, a speaker 18b, a communication processing unit 18c, a camera (camera unit) 18d, and a computing unit 18e.

[0067] The display unit 18a is a part that outputs information to be provided to the inspector, and is composed of a display or the like, and displays an image captured by the camera 18d and information supplied from the calculation unit 18e.

[0068] The speaker 18b is a part that notifies the inspector of the details of the precaution information in the table data 17a provided via the communication processing unit 18c by voice.

[0069] The communication processing unit 18c is a part that transmits and receives information with the communication processing unit 16a of the operation unit 16 using radio waves, and for example, receives information of the table data 17a stored in the database 17 and supplies it to the calculation unit 18e.

[0070] The camera 18d is a part that captures an image of the rack 31 for each mounted sample container 61.

[0071] The computing unit 18e uses the augmented reality technology of the tagging method to identify the rack ID label 33, the identifier 34, and the sample container 61 of the rack 31 from the image captured by the camera 18d. Then, based on the sample ID, rack ID, identifier, each flag, and information on the inspection items included in the table data 17a supplied via the communication processing unit 18c, the sample container 61 containing the sample with the precautionary information is determined. Figure 6 As shown in FIG. 1 , the mark 32 is displayed superimposed on the image displayed on the display unit 18 a on the identified sample container 61 .

[0072] Figure 6 The state is shown in which a mark 32 is given to the display unit 18a of the smart device 18 for the sample to be extracted because there are remaining uninspected items, etc., and the sample is displayed from approximately directly above the rack 31 on which the sample container 61 is mounted.

[0073] More specifically, first, the operation unit 18e identifies the rack ID label 33 containing a barcode attached to the rack 31 in the image captured by the camera 18d to obtain the rack ID. The acquisition method may be any one of a barcode and a number that can be visually seen by a person, or both may be acquired to confirm whether the rack ID is consistent. In addition, regarding the uses of the rack 31, there are general detection objects, emergency detection objects, re-inspection, control measurement, and washing, etc. In products that are color-coded, it is desirable to obtain the color of the rack 31 together with the rack ID and perform a rationality check so that the assigned mark 32 will not cause errors.

[0074] Next, the information of the sample mounted on the rack 31 recorded in the table data 17a of the database 17 of the operation unit 16 is received via the communication processing unit 18c and the communication unit 15, and the sample is identified based on the rack ID and color obtained. At this time, as a mark for identifying the position (Position) of the mounted sample container 61, in addition to the rack ID label 33, an identifier 34 is provided on the upper surface of the rack 31. The orientation of the rack 31 can be identified based on the orientation of the rack ID label 33 itself and the positional relationship between the rack ID label 33 and the identifier 34, so the position of the mounted sample container 61 can be accurately identified based on the number of identifiers 34 provided at equal intervals.

[0075] Thereafter, a mark 32 is added to the position of the recognized sample container 61 .

[0076] Furthermore, when the operation unit 18e recognizes the action (first predetermined action) of the technician's fingers grasping the sample container 61 in the image captured by the camera 18d using the AR technology, the operation unit 18e generates an output signal, such as: Figure 7As shown, in addition to the mark 32 , the type of mark, the name of the item to be inspected, etc. are displayed as a guide 42 .

[0077] Figure 7 The following state is represented, i.e., the bracket 31 on which the sample container 61 is mounted is projected from approximately directly above, the action of grasping the sample with the mark 32 as the sample to be extracted is performed with the finger 41, and the main reason for the sample with the mark 32 to be extracted is given as a guide 42.

[0078] More specifically, first, the operation unit 18e recognizes the shape and number of the technician's fingers 41 shown in the image captured by the camera 18d. As a technology for recognizing the shape and position of the fingers 41, for example, it is conceivable to apply and wear a markerless augmented reality technology that can recognize the object itself at high speed and can track the movement of the camera at high speed. Next, when it is recognized that the test object is grasped with two fingers 41, based on the test object information at each position received from the operation unit 16, the details of the items that have not been inspected and remain, and the guidance 42 as the data alarm of the item are given.

[0079] In addition, for example, when the amount of test body is insufficient and part of the examination cannot be performed, it is necessary to collect additional test body, but in the case of an outside patient in the hospital, it is necessary to immediately draw blood after arriving at the hospital and collect a set of test results before the diagnosis, so it is required to quickly contact the clinical side about this situation. Usually, a structure that automatically determines whether to retest is generally used in the automatic analyzer 1. On the other hand, there are also situations where the judgment of whether to retest is based on the experience of the inspection technician without relying on the logic of the system, etc. As an example of this case, there are examples such as "data transition that is no problem for dialysis patients" and "data transition that requires retesting for other general outside patients".

[0080] In such a case, the operation unit 18e can give a mark 32 indicating that the judgment on whether to re-examine is required is on hold. In addition, the hold is a function of the system. Moreover, when the examination technician performs the action of grabbing the hold mark displayed on the display unit 18a, the operation unit 18e can display information such as "the source of the patient's examination request" and "the reason for the hold (examination item + data)" on the display unit 18a as a guide 42, or execute the process of "re-examination determination → notify HIS21 via LIS20".

[0081] In addition, the holder ID tag 33 and the identifier 34 may be blocked by the finger 41, etc., but the sample container 61 displayed on the display unit 18a is tracked and the mark 32 and the guide 42 are continued. If the finger 41 is removed, the calculation unit 18e recognizes this and returns to the original display screen of the mark 32, that is, Figure 6 status.

[0082] In addition, the operation unit 18e recognizes that the inspection technician has performed the following operations in the image captured by the camera 18d using the AR technology. Figure 8 When the sample container 61 is pointed at with one finger (second predetermined action) as shown, the precaution information in the table data 17a is notified to the LIS 20 or HIS 21.

[0083] Figure 8 The following is shown, that is, the rack 31 on which the sample container 61 is placed is shown from almost directly above, and a finger 41 is pointing at the sample to be extracted, which is given a mark 32. Figure 8 This indicates a case where the inspection technician issues an instruction to the LIS 20 and the upper HIS 21 to notify that the inspection is not completed due to insufficient inspection volume.

[0084] More specifically, the calculation unit 18e first recognizes the shape and number of the technician's fingers shown in the image captured by the camera 18d. Next, when it is recognized that one finger is pointing at the sample container 61, the LIS 20 is notified of insufficient sample volume via the communication unit 15. Furthermore, the LIS 20 can also notify the HIS 21.

[0085] In addition, the content of the information notified to the HIS 21 via the LIS 20 is not limited to the retest determination. For example, the following operation can be considered, that is, when the examination room side cannot make a judgment on the above-mentioned reserved sample, such as Figure 8 As shown, when a finger is pointed at the sample container 61, the HIS 21 is notified as a request for judgment to the clinician (physician).

[0086] If the finger 41 is removed, the calculation unit 18e recognizes this and returns to the original display screen of the mark 32. Figure 6 status.

[0087] Furthermore, when the operation unit 18e recognizes that the laboratory technician has extracted a specific sample container 61 from the rack 31 in the image captured by the camera 18d using the AR technology, the operation unit 18e notifies the database 17 of the fact that the sample container 61 has been extracted from the rack 31 and information about the sample contained in the sample container 61, and stores the information in the database 17. In this case, the information can also be reflected on the display of the monitor 14.

[0088] In this case, the calculation unit 18e adds a mark indicating "extracted" to the position where the sample is extracted, and if Figure 7 As shown, by performing a grasping operation with a finger 41 , the previously existing detection object and the current location thereof can be confirmed through the guide 42 .

[0089] Furthermore, when recognizing that the extracted sample container 61 is mounted on another rack 31 , the calculation unit 18 e newly generates measurement item information corresponding to the type of the other rack 31 being the mounting destination, and stores the information in the database 17 .

[0090] In addition, it is foreseeable that many operations are performed to determine and process whether retesting is necessary using the functions of the LIS 20. To cope with this situation, the calculation unit 18e assigns a specific mark 32 to the sample that should actually be retested through communication cooperation with the LIS 20. In addition, this function can also be an option.

[0091] Furthermore, information associating each position of the rack 31 with the sample can also be shared with the LIS 20 .

[0092] In this way, in the computing unit 18e of the smart device 18, by combining Fig. 9 The marking method shown and Figure 7 , Figure 8 The markerless augmented reality technology shown is used to implement the assignment of marks 32 and guides 42 and the communication instructions of LIS 20 on the screen of the smart device 18.

[0093] Back to Figure 3 The transport line 19 is a line that transports the rack 31 carrying the sample container 61 from the input section 11 to the processing section 12 and the storage section 13 , and transports the rack 31 from the storage section 13 to the input section 11 and the processing section 12 and returns the rack 31 .

[0094] Next, a method of analyzing a sample using the automatic analyzer 1 of the present embodiment will be described below. Basically, the analysis is performed by controlling each element using the operation control unit 16 b of the operation unit 16 .

[0095] First, the operation control unit 16 b of the operation unit 16 controls the transport line 19 to transport the rack 31 provided on the transport line 19 to a position directly below the moving trajectory of the sample dispensing probe of the sample dispensing mechanism 210 in the processing unit 12 .

[0096] Next, the operation control unit 16 b of the operation unit 16 controls the sample dispensing mechanism 210 to suck a given amount of the sample placed in the sample container 61 set in the holder 31 and eject the sample into the reaction container 204 set in the reaction disk mechanism 205 .

[0097] Next, the operation control unit 16b of the operation unit 16 controls the reaction disk mechanism 205 to transport the reaction container 204 containing the sample to a position directly below the moving track of the reagent dispensing mechanism 211. In addition, the operation control unit 16b of the operation unit 16 simultaneously controls the reagent storage unit 209 to transport a given reagent bottle 208 to a position directly below the moving track of the reagent dispensing mechanism 211.

[0098] Next, the operation control unit 16 b of the operation unit 16 controls the reagent dispensing mechanism 211 to suck a predetermined amount of reagent put into the reagent bottle 208 and to eject the reagent into the reaction container 204 into which the previously ejected sample has entered.

[0099] Next, the various-unit operation control unit 16 b of the operation unit 16 controls the reaction disk mechanism 205 to transport the reaction container 204 containing the reagent and the sample solution to the position of the stirring mechanism 212 .

[0100] Next, the component operation control unit 16 b of the operation unit 16 controls the stirring mechanism 212 to stir the solution of the reagent and the sample placed in the reaction container 204 .

[0101] Next, the operation control unit 16 b of the operation unit 16 controls the reaction disk mechanism 205 to transport the reaction container 204 containing the reagent and the sample solution to the position of the photometer 215 .

[0102] Next, the operation control unit 16b of the operation unit 16 controls the light source 214 to generate light. In addition, the operation control unit 16b of the operation unit 16 controls the photometer 215 at the same time to send the measured absorbance information to the A / D converter 216. Furthermore, the operation control unit 16b of the operation unit 16 controls the A / D converter 216 at the same time to record the absorbance information converted into a digital signal in the database 17.

[0103] Thereafter, the analysis calculation unit 16 c of the operation unit 16 performs calculations such as determining the concentration of a predetermined component in the sample based on the absorbance information.

[0104] At the same time, the operation control unit 16 b of the operation unit 16 controls the reaction disk mechanism 205 to transport the reaction container 204 containing the reagent and the sample solution to the position of the washing mechanism 213 .

[0105] Next, the operation control unit 16 b of the operation unit 16 controls the washing mechanism 213 to wash the reaction container 204 containing the reagent and the sample solution in preparation for the next analysis.

[0106] Next, refer to Fig. 9 The flow of the process for adding the mark 32 by the calculation unit 18 e of the smart device 18 will be described. Fig. 9 18e is a diagram showing a flowchart for realizing the processing in the calculation unit 18e.

[0107] First, the calculation unit 18e of the smart device 18 starts processing (step S70).

[0108] Next, the calculation unit 18e recognizes the bracket ID and bracket color of the bracket 31 shown in the image captured by the camera 18d using the AR technology (step S71).

[0109] Next, the calculation unit 18e recognizes the identifier 34 on the holder 31 and identifies the position (step S72).

[0110] Next, the calculation unit 18e uses AR technology to determine whether the sample container 61 is set at the position (step S73). If it is determined that the sample container 61 is set, the process proceeds to step S74, and if it is determined that it is not set, the process proceeds to step S77.

[0111] When it is determined in step S73 that the sample container 61 is set, the calculation unit 18e then inquires the database 17 and receives the table data 17a (step S74).

[0112] Next, the calculation unit 18e refers to the received table data 17a to determine whether the sample in the sample container 61 set at the position has the precautionary information recorded thereon and whether there is a mark 32 to be given (step S75). If it is determined that there is a mark 32 to be given, the process is transferred to step S76, and if it is determined that there is no mark 32 to be given, the process is transferred to step S77.

[0113] Next, the calculation unit 18e adds the mark 32 to the position of the sample container 61 on the display unit 18a (step S76).

[0114] On the other hand, when it is determined that there is no mark 32 to be assigned or when it is determined that the sample container 61 is not set, the calculation unit 18e clears the mark displayed at the position (step S77).

[0115] Next, the calculation unit 18e determines whether there is an unrecognized position of the stent 31 in the image (step S78). If it is determined that there is an unrecognized position, the process returns to step S72, and if it is determined that there is no unrecognized position, the process moves to step S79.

[0116] Next, the calculation unit 18e determines whether there is an unrecognized stent 31 in the image (step S79). If it is determined that there is an unrecognized stent 31, the process returns to step S71, and if it is determined that there is no unrecognized stent 31, the process shifts to step S80.

[0117] Next, the calculation unit 18e waits for a certain period of time (step S80).

[0118] Next, the calculation unit 18e determines whether or not an instruction to stop the program has been given (step S81). If it is determined that no instruction to stop the program has been given, the process proceeds to step S82.

[0119] Next, the calculation unit 18e regards each bracket as unrecognized without deleting the assigned mark (step S82), and returns the process to step S71.

[0120] On the other hand, when it is determined that a stop instruction has been given, the processing is terminated.

[0121] The calculation unit 18e repeatedly executes the Fig. 9 The process shown continues until the operation of the smart device 18 is stopped, thereby tracking the movement of the camera 18d at high speed.

[0122] Next, refer to Fig.10 A process for realizing a process of recognizing the shape of the finger 41 , providing the guide 42 , and instructing the LIS 20 to communicate will be described. Fig.10 18e is a diagram showing a flowchart for realizing the processing in the computing unit 18e, and this processing is repeatedly executed until the operation of the smart device 18 is stopped.

[0123] First, the calculation unit 18e of the smart device 18 starts processing (step S90).

[0124] Next, the calculation unit 18e recognizes whether or not the technician's finger 41 is present near the displayed mark 32 (step S91).

[0125] Next, the calculation unit 18e determines whether the technician's finger 41 is present on the screen as a result of step S91 (step S92). If it is determined that the finger 41 is present, the process proceeds to step S93, and if it is determined that the finger 41 is not present, the process proceeds to step S94.

[0126] Next, the calculation unit 18e recognizes the shape of the finger 41 using, for example, markerless augmented reality technology (step S93).

[0127] Next, the calculation unit 18e determines whether the finger shape is a "grabbing" action of grasping the sample container 61, a "pointing" action of pointing a finger at a specific sample container 61, or an "other" action (step S95). If it is determined to be a "grabbing" action, the processing is transferred to step S96, if it is determined to be a "pointing" action, the processing is transferred to step S99, and if it is determined to be an "other" action, the processing is terminated.

[0128] Next, the calculation unit 18e inquires the database 17 whether there is any precautionary information for the sample contained in the sample container 61 mounted on the rack / position, and receives the result (step S96).

[0129] Next, the calculation unit 18e determines whether there is guidance 42 to be displayed based on the information received in step S96 (step S97). If it is determined that there is guidance 42 to be displayed, the process proceeds to step S98, and if it is determined that there is no guidance 42, the process ends.

[0130] Next, the calculation unit 18e provides the guide 42 of the holder / position (step S98), and ends the processing.

[0131] On the other hand, when it is determined in step S95 that it is a "one-wire" operation, the calculation unit 18e sends a recheck instruction of the holder / position to the operation unit 16 and sends it to the LIS 20 and HIS 21 (step S99), and the processing ends.

[0132] When it is determined in step S92 that the technician's finger is not present, the calculation unit 18e clears the guidance of the holder / position (step S94) and ends the processing.

[0133] In addition, about Fig.10 The processing shown can be imagined in Fig. 9 However, depending on the shape of the finger 41, communication with the operation unit 16 occurs. Therefore, in order to suppress the increase in system load, it is also possible to embed the query process to the database 17 in the mark assignment process ( Fig. 9 Processing is performed before step S74).

[0134] Through the above implementation, the following effects can be obtained.

[0135] In the first embodiment of the automatic analysis device described above, in order to clearly distinguish the specimens to be extracted due to uninspected items remaining from the racks 31 recovered into the storage section 13 and the racks 31 taken out from the storage section 13, the racks 31 are projected using a camera 18d of the smart device 18, and in the operation section 18e of the smart device 18, based on the combined information of the rack ID 33 and the identifier 34 and the specimen information at each position received from the operation section 16, a mark 32 is assigned to the position of the specimen to be extracted due to uninspected items remaining using AR technology.

[0136] Therefore, by checking the display unit 18a of the smart device 18, the sample container 61 to be extracted can be easily, reliably, and efficiently checked, and the work efficiency when only the samples that need to be reprocessed, such as the remaining unchecked items that need to be rechecked, can be greatly improved compared to the past. In addition, since it is only necessary to check the display unit 18a of the smart device 18, the sample can be easily determined even after being taken out from the device without switching the screen, which can improve the work efficiency.

[0137] Furthermore, when the operation unit 18e recognizes in the image captured by the camera 18d that the operator's fingers have grasped the sample container 61, it displays the type of mark, the name of the item to be inspected, etc. as a guide 42 in addition to the mark 32, so that the inspection technician can determine the required treatment after extraction through simple operations, and can smoothly transfer to the subsequent operation to be undertaken, thereby achieving a further improvement in work efficiency.

[0138] Furthermore, in the image captured by the camera 18d, it is recognized that the inspection technician has performed the following Figure 8 When pointing at the sample container 61 with one finger as shown, the precaution information in the table data 17a is notified to the LIS 20 or HIS 21, so that the examination technician does not need to switch to other actions such as making a phone call to notify the clinical side of the insufficient sample volume, but can notify with one action, thereby achieving further improvement in work efficiency.

[0139] Furthermore, by notifying and storing the fact that the sample container 61 has been extracted from the rack 31 and the information of the extracted sample in the database 17, the information in the database 17 can be kept up to date, thereby enabling more accurate system operation.

[0140] Furthermore, by newly generating measurement item information corresponding to the type of the bracket 31 at the installation destination, on the operating unit 16 side, according to the type of the bracket 31 at the installation destination, measurement item information of only uninspected items in the initial inspection can be automatically prepared in the bracket 31 for general and emergency detection objects. In addition, in the bracket 31 for re-inspection, measurement item information of abnormal data items including uninspected items can be automatically prepared, and the inspection technician can transfer to re-measurement without having to re-enter the required information, which can further improve the working efficiency.

[0141] In addition, there is a sample scanner 11a, and each information in the rack 31 is determined by the sample scanner 11a, so that each information can be determined when the rack 31 is placed in the automatic analyzer 1. Therefore, the inspection technician only needs to place the rack 31 in the automatic analyzer 1, which can improve the working efficiency.

[0142] Furthermore, by providing a speaker 18b for notifying the technician of the details of the precautionary information in the table data 17a by voice, more accurate information can be conveyed to the technician, and the sample container 61 to be extracted can be determined more accurately, thereby achieving further improvement in work efficiency.

[0143] In addition, although Figure 6 Although the state where parts of two racks 31 are displayed is illustrated in FIG. 1 , there is no upper limit to the number of racks 31 to be searched.

[0144] In addition, regarding Figure 6 The place where the bracket 31 is placed as shown in the figure does not have to be in the device that handles the bracket 31, as long as it can be within the range where the bracket 31 can be photographed by the smart device 18 and communication with the operation unit 16 can be performed.

[0145] <Second Embodiment>

[0146] As a second embodiment of the present invention, using Figures 11 to 13 The sample inspection automation system will be described. The same components as those of the automatic analyzer 1 of the first embodiment are denoted by the same reference numerals, and detailed descriptions thereof will be omitted.

[0147] First, refer to Fig.11 A tray 62 on which 50 sample containers 61 can be placed, which is mainly handled by the sample testing automation system 2, will be described.

[0148] Fig.11 The tray 62 shown is Figure 1Unlike the rack 31 shown in the figure, a two-dimensional barcode 64 is provided around each position as a mark. Thus, a mark 32 can be given to the test object set up at each position. This is because even if the tray ID is arranged at several places on the upper surface of the tray 62, it may not fall within the range captured by the camera 18d of the smart device 18. The two-dimensional barcode 64 arranged around each position contains at least the tray ID of the tray and information about the position as information.

[0149] Next, refer to Fig.12 The outline of the sample testing automation system 2 will be described. Fig.12 It is a block diagram showing the sample testing automation system 2.

[0150] Fig.12 The sample inspection automation system 2 shown includes an input unit 111, a processing unit 112, a storage unit 113, a monitor 114, a communication unit 115, an operation unit 116, a database (DB) 117, an intelligent device 118, and a conveying line 119. The sample inspection automation system 2 is connected to the LIS 20 and the HIS 21 via the communication unit 115, and is further connected to the automatic analyzer 1 via the communication unit 15.

[0151] The loading unit 111 is a part for loading the tray 62 on which the sample containers 61 containing the samples are mounted, the rack 31, etc. into the sample inspection automation system 2, and has a sample scanner 111a. The sample scanner 111a has substantially the same structure as the sample scanner 11a shown in the first embodiment.

[0152] The processing unit 112 is a part for performing predetermined processing on the sample, for example, performing processing such as centrifugal separation, checking the sample amount, further subdividing the sample container, etc.

[0153] The housing portion 113 is a portion that houses the tray 62 and the like.

[0154] The monitor 114 displays the results of processing performed by the processing unit 112 , measurement item information, and inspection results.

[0155] The communication unit 115 is a cable, wireless or other means for performing mutual communication among the mechanisms in the sample inspection automation system 2 .

[0156] like Fig.13 As shown, the operation unit 116 includes a communication processing unit 116a and a unit operation control unit 116b.

[0157] The communication processing section 116a controls the communication with each mechanism in the sample inspection automation system 2 via the communication unit 115, and the communication processing with the LIS 120, HIS 121, etc., and combines information to exchange measurement item information and inspection results, updates the content of the sample-related information stored in the database 117, and displays the content of the sample-related information on the monitor 114. The unit operation control section 116b controls each component in the sample inspection automation system 2 including the processing section 112.

[0158] The database 117 stores table data 117a related to the tray 62 put into the sample testing automation system 2. The table data 117a is related to Figure 5 The table data 17a shown has substantially the same structure.

[0159] Back to Fig.12 The smart device 118 includes a display unit 118a, a speaker 118b, a communication processing unit 118c, a camera (camera unit) 118d, and a computing unit 118e.

[0160] The display unit 118a, speaker 118b, communication processing unit 118c, camera 118d, and computing unit 118e mounted on the smart device 118 have substantially the same structure as the display unit 18a, speaker 18b, communication processing unit 18c, camera 18d, and computing unit 18e mounted on the smart device 18 of the first embodiment.

[0161] Specifically, the operation unit 118e uses the augmented reality technology of the marking method to identify the two-dimensional barcode 64 of the tray 62 from the image captured by the camera 118d, and determines the sample container 61 containing the sample with the precautionary information based on the sample ID and the two-dimensional barcode 64, each mark, and the information of the items to be inspected included in the table data 117a. Figure 6 As shown, the mark 32 is displayed superimposed on the identified sample container 61 on the image displayed on the display unit 118a.

[0162] Furthermore, when the operation unit 118e recognizes the action (first predetermined action) of the technician's fingers grasping the sample container 61 in the image captured by the camera 118d using the AR technology, the operation unit 118e generates an output signal, such as: Figure 7 As shown, in addition to the mark 32 , the type of mark, the name of the item to be inspected, and the like are displayed as a guide 42 .

[0163] In addition, the operation unit 118e uses AR technology to identify the inspection technician in the image captured by the camera 118d. Figure 8When the sample container 61 is pointed at with one finger (second predetermined action) as shown, the precaution information in the table data 117a is notified to the LIS 20 or HIS 21.

[0164] Furthermore, when the operation unit 118e recognizes that the laboratory technician has extracted a specific sample container 61 from the tray 62 in the image captured by the camera 118d using the AR technology, the operation unit 118e notifies the database 117 of the fact that the sample container 61 has been extracted from the tray 62 and information about the sample contained in the sample container 61, and stores the information in the database 117. In this case, the information can also be reflected on the display of the monitor 114.

[0165] The conveyor line 119 is a line for conveying the tray 62 etc. on which the sample container 61 is placed from the input section 111 to the processing section 112 and the storage section 113, conveying the tray 62 etc. from the storage section 113 to the input section 111 and the processing section 112, and returning the tray 62 etc. Furthermore, it is a line for conveying the tray 62 etc. on which the sample container 61 containing the sample is placed to be processed in the processing section 112 to each automatic analyzer 1.

[0166] The automatic analyzer 1 has substantially the same configuration as that of the automatic analyzer 1 of the first embodiment.

[0167] The flow of the processing for adding the mark 32 by the computing unit 118e of the smart device 118 in the sample inspection automation system 2 is similar to Fig. 9 The flowchart shown is substantially the same as that shown in FIG. 1 , and the process of recognizing the shape of the finger 41 and providing the guide 42 is the same as that shown in FIG. Fig.10 The flow charts shown are largely the same.

[0168] In the sample inspection automation system of the present embodiment, it is also foreseen that the effect is substantially the same as that of the automatic analysis device of the first embodiment, that is, the smart device 118 is skipped to retrieve the sample to be extracted, and the finger 41 wearing a plastic glove directly touches the sample container 61, so that the main reason for extraction can be grasped, and it is expected that the operating efficiency can be improved by notifying the HIS21 as needed.

[0169] In addition, in this embodiment, as an example, a mode in which three automatic analyzers 1 are connected to the front of the conveying line 119 of one sample inspection automation system 2 as a connection part is shown. However, the number of each component of the automatic analyzer 1 and the sample inspection automation system 2 can be freely combined according to the operation situation of the inspection room. Of course, the automatic analyzer 1 and the sample inspection automation system 2 can also be operated independently in separate places without being connected to each other, and the automatic analyzer 1 and the sample inspection automation system 2 can also be integrated.

[0170] In addition, in the sample inspection automation system 2, depending on the type of pretreatment performed on the sample (centrifugation, etc.) and the type of the holder, there is a case where the ID and position of the holder set up when the sample is put into the sample inspection automation system 2 are different from the ID and position of the holder set up when the sample is taken out of the sample inspection automation system 2. In this case, it is desirable to perform a process of re-determining the ID and position of the holder after the process of changing the ID and position of the holder in addition to when the sample container 61 is put in, and store the same in the database 17. In the automatic analyzer 1 described in the first embodiment, it is desirable to perform this re-inspection even when the ID and position of the holder are changed.

[0171] <Others>

[0172] In addition, the present invention is not limited to the above-mentioned embodiments, and includes various modified examples. The above-mentioned embodiments are embodiments described in detail in order to clearly explain the present invention, and are not necessarily limited to having all the structures described. In addition, a part of the structure of a certain embodiment can be replaced with the structure of other embodiments, and in addition, the structure of other embodiments can be added to the structure of a certain embodiment. In addition, it is also possible to add, delete, or replace a part of the structure of each embodiment with other structures.

[0173] For example, in the future, when wearable devices such as glasses become more universal, if wearable devices are worn as smart devices 18, 118 of the automatic analysis device 1 and the sample inspection automation system 2 of the present invention, both hands will become free, so further effects can be expected.

[0174] In addition, although the above-mentioned embodiment describes the action of grabbing with the finger 41 and the action of pointing with the finger, other actions using the finger 41 and the so-called switch function based on an unillustrated object that can be recognized by the program are also within the scope of implementation of the present invention and do not limit the present invention.

[0175] In the above embodiment, an automatic analyzer that performs biochemical analysis of blood or the like is described as an example. However, the automatic analyzer is not limited to the biochemical analyzer, and can also be applied to an immunoanalyzer that performs immunological analysis.

[0176] Description of Reference Numerals

[0177] 1: Automatic analysis device;

[0178] 2: Automated system for testing specimens;

[0179] 11, 111: Investment Department;

[0180] 11a, 111a: detection object scanner;

[0181] 12, 112: Processing Department;

[0182] 13, 1113: accommodation part;

[0183] 14, 114: monitor;

[0184] 15, 115: communication unit;

[0185] 16, 116: operation unit;

[0186] 16a, 116a: communication processing unit;

[0187] 16b, 116b: various motion control units;

[0188] 16c: analysis and calculation unit;

[0189] 17, 117: Database;

[0190] 17a, 117a: table data;

[0191] 18, 118: Smart devices;

[0192] 18a, 118a: display unit;

[0193] 18b, 118b: loudspeaker;

[0194] 18c, 118c: communication processing unit;

[0195] 18d, 118d: Camera;

[0196] 18e, 118e: operation unit;

[0197] 19, 119: transmission lines;

[0198] 20: LIS (examination room information system);

[0199] 21: HIS (Hospital Information System);

[0200] 31: Bracket;

[0201] 32: mark;

[0202] 33: Bracket ID label;

[0203] 34: identifier;

[0204] 41: fingers;

[0205] 42: Guidance;

[0206] 61: sample container;

[0207] 62: tray;

[0208] 64: Two-dimensional barcode.

Claims

1. A method for imparting a mark to a sample in an automatic analyzer for measuring the concentration of a biological component contained in the sample, characterized in that have: A photographing and identifying step, wherein an intelligent device having a photographing unit photographs a holder on which a sample container containing a sample is mounted, and AR technology is used to identify a holder ID and a holder color of the holder shown in an image photographed by the photographing unit; An identification step of identifying an identifier on the holder and a position of the identifier; A first determination step is to determine whether the sample container is placed at the position of the identifier by using AR technology; A query step of querying a database and receiving table data when it is determined that the sample container is set at the position of the identifier; a determination step of determining, based on the precaution information in the received table data, a sample container containing a sample having the precaution information and shown in the image captured by the imaging unit; a marking step of judging whether there is a mark to be assigned to the sample container determined in the determining step, assigning the mark to a corresponding part in the image displayed on the display unit of the smart device when it is judged that there is a mark to be assigned, and removing the already assigned mark when it is judged that there is no mark to be assigned if the mark has already been assigned; a second judging step of judging whether there is an unrecognized position of the holder in the image, returning the process to the recognition step when judging that there is an unrecognized position, and transferring the process to a third judging step when judging that there is no unrecognized position; a third judging step of judging whether there is an unrecognized holder in the image, returning the process to the camera recognition step when it is judged that there is an unrecognized holder, and transferring the process to the standby step when it is judged that there is no unrecognized holder; Standby process, standby for a certain period of time; A fourth determination step of determining whether a program stop is instructed, and when it is determined that a stop is instructed, terminating the process, and when it is determined that a stop is not instructed, transferring the process to a step deemed as unidentified; as well as The process is regarded as an unrecognized process, and each holder is regarded as unrecognized without removing the assigned mark, and the processing is returned to the camera recognition process. The precaution information is at least one of information indicating that re-inspection is required, information indicating that there are uninspected items, and information indicating that there is a request for additional inspection. In the marking step, when it is recognized in the image captured by the imaging unit that the finger of the laboratory technician has performed a first predetermined action of grasping the sample container, details of the precaution information are displayed in addition to the mark, In the marking step, when a second predetermined motion of a finger of a laboratory technician pointing at the sample container is recognized in the image captured by the imaging unit, the precaution information is notified to a laboratory information system or a hospital information system.

2. The marking method according to claim 1, characterized in that: In the determination step, when it is recognized in the image captured by the imaging unit that the determined sample container is pulled out from the holding rack by the inspector, the situation that the sample container is pulled out from the holding rack and information on the sample contained in the pulled out sample container are stored.

3. The marking method according to claim 2, characterized in that: In the specifying step, when it is recognized in the image captured by the imaging unit that the sample container specified by the inspection technician is pulled out from the holder and installed in another holder, measurement item information corresponding to the type of the other holder is newly generated and stored.

4. The marking method according to claim 1, characterized in that: In the determination step, the holder placed in an automatic analysis device for analyzing the sample or in a sample inspection automation system for inspecting the sample, the sample container mounted on the holder, and the mounting position of the sample container in the holder are determined, and the position of the sample container in the image is determined using the determined information.

5. The marking method according to claim 1, characterized in that: The method further comprises: a notification step of notifying the inspection technician of the details of the precautionary information by voice.

6. The marking method according to claim 1, wherein: The marking method is performed in an automatic analyzer that analyzes the sample contained in the sample container or in a sample inspection automation system that inspects the sample.

Citation Information

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