CN112444636A

CN112444636A - Pipeline system, time prediction method thereof and storage medium

Info

Publication number: CN112444636A
Application number: CN201910817244.1A
Authority: CN
Inventors: 何赟
Original assignee: Shenzhen Mindray Bio Medical Electronics Co Ltd
Current assignee: Shenzhen Mindray Bio Medical Electronics Co Ltd
Priority date: 2019-08-30
Filing date: 2019-08-30
Publication date: 2021-03-05

Abstract

The application discloses pipeline system and time prediction method, storage medium thereof, wherein, when sample detection is carried out, firstly, a sample is received in an input area, the sample identification of the sample is identified, then the sample is detected, and the detection time required by the sample detection is completed is predicted, and the sample identification of the sample and the corresponding detection time can be displayed after prediction, so that a user can know the prediction detection time of each sample at any time, and when the prediction that the sample detection time exceeds a time threshold value, the priority of the sample is improved, the actual detection time of the sample is shortened, and the timeliness of the sample detection is ensured.

Description

Pipeline system, time prediction method thereof and storage medium

Technical Field

The application relates to but is not limited to the field of sample detection, and relates to a pipeline system, a time prediction method thereof and a storage medium.

Background

With the rapid development of medical technology, the demand of sample detection is also higher and higher. To meet sample testing requirements and reduce testing time, pipeline systems have emerged that pipeline samples. When a pipeline system is used for testing samples, the Turn-Around Time (TAT) of the samples is a very interesting factor for clinical laboratories, and the International Organization for Standardization (ISO) 15189 "quality and competence approval criteria for medical laboratories" explicitly uses the Turn-Around Time as a quality index of the laboratories, and each clinical laboratory needs to determine the Turn-Around Time reflecting clinical requirements for each test and periodically review whether the Turn-Around Time meets the requirements.

The prior pipeline only distinguishes priority when sampling, for a sample entering the pipeline, because the states of all modules are different when the sample passes through all the modules, the sample is centrifuged or uncovered, or the sample transferring process or the sample test can be queued for waiting, and the TAT is close to timeout or is overtime when the sample is tested.

In the related art, middleware or a Laboratory Information Management System (LIS) monitors TAT time actually completed for each sample, and when the actual TAT of a certain sample is overtime, it is reported that the TAT of the sample is overtime. This can only alarm when the actual TAT time is overtime, and cannot predict, monitor and process in advance, and shorten the TAT detection time. In addition, the user is also required to pay attention to whether the actual TAT of the sample is overtime or not, if the actual TAT of the sample is overtime, the state of the sample needs to be checked manually, and manual intervention measures are adopted, so that the operation is complicated.

Disclosure of Invention

In view of the above, embodiments of the present application provide a pipeline system, a time prediction method thereof, and a storage medium to solve the problems in the prior art.

An embodiment of the present application provides a pipeline system, including:

an input module for receiving a sample at an input area thereof;

the sample identification module is used for identifying the sample identification of the sample;

the pretreatment module is used for pretreating a sample; the pretreatment module comprises one or more of a centrifugation module, a serum detection module, a decapping module and a dispensing module; the centrifugal module is used for centrifuging a sample to be centrifuged; the serum detection module is used for detecting whether the serum amount of the sample is enough and/or whether the serum quality of the sample is qualified; the decapping module is used for decapping the centrifuged sample; the separate injection module is used for separating samples;

one or more analysis modules for testing the sample;

the system comprises a track, a scheduling device, a display module and a controller, wherein the track is connected with each module; wherein:

the controller is configured to predict a detection time period required for the sample to complete detection; the display module is at least used for displaying the sample identification of the sample and the predicted detection duration.

An embodiment of the present application provides a pipeline system, including:

an input module for receiving a sample at an input area thereof;

one or more analysis modules for testing the sample;

the system comprises a track, a scheduling device and a controller, wherein the track is connected with each module, and the scheduling device is used for scheduling samples among the modules through the track; wherein:

the controller is configured to predict a detection time period required for the sample to complete detection.

In the above solution, the pipeline system further includes a display module at least for displaying the sample identifier of the sample and the predicted detection duration.

In the above aspect, the controller is further configured to: and the time length detection module is used for judging whether the predicted detection time length of the sample is greater than a preset time length threshold value or not.

In the above scheme, when the detection duration of the sample is greater than the duration threshold, the controller controls a display module to display the sample identifier and the corresponding detection duration in a first display mode;

and when the detection duration of the sample is smaller than or equal to the duration threshold, the controller controls the display module to display the sample identifier and the corresponding detection duration in a second display mode, wherein the first display mode is different from the second display mode.

In the above scheme, when the detection duration of the sample is greater than or equal to the duration threshold, the controller controls a display module to display the sample identifier and the corresponding detection duration in a first list in a first display manner;

and when the detection duration of the sample is smaller than the duration threshold, the controller controls the display module to display the sample identifier and the corresponding detection duration in the first list in a second display mode, wherein the first display mode is different from the second display mode.

In the above scheme, when the detection duration is greater than or equal to a preset duration threshold, the controller controls the detection duration and the sample identifier to be displayed in a second list;

and when the detection duration is smaller than the duration threshold, the controller controls the detection duration and the sample identifier to be displayed in a third list.

In the above scheme, when the detection duration is greater than or equal to a preset duration threshold and the sample is not completely detected, the controller controls the detection duration and the sample identifier to be displayed in a second list;

when the detection duration is smaller than the duration threshold and the sample is not completely detected, the controller controls the detection duration and the sample identification to be displayed in a third list;

and when the sample is detected completely, the controller controls the detection time length and the sample identification to be displayed in a fourth list.

In the above scheme, when the detection duration is greater than or equal to the duration threshold, the controller raises the priority of the sample, and controls a scheduling device to schedule the sample based on the raised priority; and/or controlling to give an alarm.

In the foregoing solution, the pipeline system further includes: the human-computer interaction equipment is used for receiving the sample identification and the predicted detection duration displayed by the display module, selecting the sample and promoting the priority of the sample; and the controller promotes the priority of the sample corresponding to the selection operation based on the priority promotion operation, and controls a scheduling device to schedule the sample based on the promoted priority.

In the foregoing solution, the raising, by the controller, the priority of the sample corresponding to the selection operation based on the priority raising operation includes:

and the controller determines a target priority corresponding to the priority lifting operation and lifts the priority of the sample corresponding to the selection operation to the target priority.

In the above scheme, when the detection duration is greater than the duration threshold, the controller raises the priority of the sample according to a preset priority raising policy, and controls the scheduling device to schedule the sample based on the raised priority.

In the above scheme, the controller raises the priority of the sample according to a preset priority raising policy, including:

the controller determines at least one of a sample type, a sample source, and item package information based on the sample identification;

the controller determines a target priority corresponding to the sample identifier according to at least one of the sample type, the sample source and the item package information and a priority promotion strategy;

the controller raises the priority of the sample to the target priority.

In the above scheme, the priority boost policy includes one, two or more priority levels.

In the above solution, the controller is configured to predict the detection time required for the sample to complete the detection, including:

the controller acquires a used detection time for carrying out sample detection on the sample;

the controller determines the remaining duration of the sample for completing the remaining detection;

the controller predicts a detection time period required for the sample to complete detection based on the used detection time period and the remaining time period.

In the above solution, the determining, by the controller, a remaining duration of the remaining detection of the sample includes:

the controller determines each incomplete program of the sample and a track turnaround time length for completing the incomplete program based on the position information of the sample;

the controller acquires the number of queued samples in a module for executing each unfinished program;

the controller determines the waiting time of the samples according to the average processing time of the modules and the number of the queued samples;

and the controller determines the residual time length according to the track turnover time length, the waiting time length and the processing time length of the sample corresponding to each module.

the controller determines track turnover time lengths of each unfinished program of the sample and the unfinished program based on the position information of the sample;

the controller acquires to-be-completed programs of queued samples in modules executing each uncompleted program of the samples;

the controller determines the waiting time of the samples according to the processing time corresponding to the to-be-completed program of each queued sample;

and the controller determines the residual time length according to the track turnover time length, the waiting time length and the processing time length of the sample corresponding to each unfinished program.

the controller is configured to re-predict the detection time period required for the sample to complete detection every time the sample completes a certain number of procedures, and optionally synchronously control the display module to perform an update display.

In the foregoing solution, the pipeline system further includes:

and the alarm module is used for outputting alarm information when the detection duration is greater than a preset duration threshold.

In the foregoing solution, the display module is further configured to display at least one of the position information of the sample, the used detection time length, the remaining time length of the sample, a preset time length threshold corresponding to the sample, and a sample state.

In the above scheme, the human-computer interaction device is further configured to receive a setting operation for setting the time length threshold; the controller determines a set duration threshold based on the setting operation.

In the above scheme, the human-computer interaction device is further configured to receive an information query operation, and the controller acquires target information corresponding to the information query operation and controls the display module to display the target information.

The embodiment of the application provides a time prediction method based on a pipeline system, which comprises the following steps:

receiving a sample at an input area, and identifying a sample identification of the sample;

carrying out sample detection on the sample, and predicting the detection time required by the sample to finish detection;

and displaying the sample identification of the sample and the corresponding detection duration.

and carrying out sample detection on the sample, and predicting the detection time required by the sample to finish detection.

In the above scheme, the method further comprises displaying the sample identification and the predicted detection duration of the sample.

In the above aspect, the method further includes: and judging whether the predicted detection time length of the sample is greater than a preset time length threshold value or not.

In the above scheme, the displaying the sample identifier of the sample and the predicted detection duration includes:

when the detection duration of the sample is greater than the duration threshold, displaying the sample identification and the corresponding detection duration in a first display mode;

and when the detection duration of the sample is smaller than or equal to the duration threshold, displaying the sample identifier and the corresponding detection duration in a second display mode, wherein the first display mode and the second display mode are different.

when the detection duration of the sample is greater than or equal to the duration threshold, displaying the sample identifier and the corresponding detection duration in a first display mode in a first list;

and when the detection duration of the sample is smaller than the duration threshold, displaying the sample identifier and the corresponding detection duration in a second display mode in the first list, wherein the first display mode and the second display mode are different.

when the detection duration is greater than or equal to a preset duration threshold, the controller controls the detection duration and the sample identification to be displayed in a second list;

when the detection duration is greater than or equal to a preset duration threshold and the sample is not detected completely, displaying the detection duration and the sample identification in a second list;

when the detection duration is smaller than the duration threshold and the sample is not detected completely, displaying the detection duration and the sample identification in a third list;

and when the sample finishes detection, displaying the detection time length and the sample identification in a fourth list.

In the above aspect, the method further includes:

when the detection duration is greater than or equal to the duration threshold, the priority of the sample is promoted, and a scheduling device is controlled to schedule the sample based on the promoted priority; and/or controlling to give an alarm.

In the above aspect, the method further includes:

receiving a selection operation of a user on a sample and a priority lifting operation on the sample based on a displayed sample identifier and a predicted detection duration;

based on the priority lifting operation, lifting the priority of the sample corresponding to the selection operation;

and controlling a scheduling device to schedule the samples based on the promoted priority.

In the foregoing solution, the increasing the priority of the sample corresponding to the selection operation based on the priority increasing operation includes:

and determining a target priority corresponding to the priority lifting operation, and lifting the priority of the sample corresponding to the selection operation to the target priority.

In the above aspect, the method further includes:

when the detection duration is greater than the duration threshold, the priority of the sample is improved according to a preset priority improving strategy;

In the foregoing solution, the raising the priority of the sample according to a preset priority raising policy includes:

determining at least one of a sample type, a sample source, and item package information based on the sample identification;

determining a target priority corresponding to the sample identifier according to at least one of the sample type, the sample source and the item package information and a priority promotion strategy;

raising the priority of the sample to the target priority.

In the foregoing scheme, the predicting the detection duration required for completing the detection of the sample includes:

acquiring the used detection time for carrying out sample detection on the sample;

determining the residual time length of the sample for completing the residual detection;

and predicting the detection time length required by the sample to finish detection based on the used detection time length and the residual time length.

In the above scheme, determining the remaining duration of the sample for completing the remaining detection includes:

determining each unfinished program of the sample and a track turnaround time length for completing the unfinished program based on the position information of the sample;

acquiring the number of queued samples in a module for executing each unfinished program;

determining the waiting time of the samples according to the average processing time of the module and the number of the queued samples;

and determining the residual time length according to the track turnover time length, the waiting time length and the processing time length of the sample corresponding to each module.

determining track turnaround time lengths of each unfinished program and the unfinished program of the sample based on the position information of the sample;

acquiring to-be-completed programs of queued samples in modules of each uncompleted program for executing the samples;

determining the waiting time of the samples according to the processing time corresponding to the to-be-completed program of each queued sample;

and determining the residual time length according to the track turnover time length, the waiting time length and the processing time length of the sample corresponding to each unfinished program.

In the above scheme, predicting the detection duration required for completing the detection of the sample includes:

and predicting the detection time length required by the sample to finish detection every time the sample finishes a certain number of programs, and optionally updating the display synchronously.

In the above aspect, the method further includes:

and when the detection duration is greater than a preset duration threshold, outputting alarm information.

In the above aspect, the method further includes:

and displaying at least one of the position information of the sample, the used detection time length and the residual time length of the sample, a preset time length threshold value corresponding to the sample and the state of the sample.

In the above aspect, the method further includes:

receiving a setting operation for setting a duration threshold;

and determining a set time length threshold value based on the setting operation.

In the above aspect, the method further includes:

receiving an information query operation, and acquiring target information corresponding to the information query operation;

and controlling the display module to display the target information.

The embodiment of the application provides a storage medium, which stores executable instructions and is used for causing a processor to execute, so that the time prediction method based on a pipeline system provided by the embodiment of the application is realized.

The embodiment of the application provides a pipeline system, a time prediction method thereof and a storage medium, wherein when sample detection is carried out, a sample is received in an input area, a sample identifier of the sample is identified, then the sample is detected, and the detection time required by the sample to finish detection is predicted. After prediction, the sample identification and the corresponding detection time length of the sample can be displayed, so that a user can know the predicted detection time length of each sample at any time, the priority of the sample is improved when the sample detection time length exceeds a time length threshold value through monitoring and predicting, the actual detection time length of the sample is shortened, and the timeliness of sample detection is guaranteed.

Drawings

Fig. 1 is a schematic structural diagram of a pipeline system according to an embodiment of the present application;

fig. 2 is a schematic structural diagram of a preprocessing module according to an embodiment of the present disclosure;

FIG. 3 is a schematic structural diagram of an aftertreatment module according to an embodiment of the present disclosure;

FIG. 4 is a schematic structural diagram of another pipeline system provided in an embodiment of the present application;

FIG. 5 is a schematic flow chart of an implementation of the time prediction method according to the embodiment of the present application;

FIG. 6 is a schematic flow chart of another implementation of the time prediction method according to the embodiment of the present application;

fig. 7 is a schematic interface diagram for displaying the detection duration according to the embodiment of the present application.

Detailed Description

To make the objectives, technical solutions and advantages of the present application clearer, the present application will be described in further detail with reference to the accompanying drawings, the described embodiments should not be construed as limiting the present application, and all other embodiments obtained by a person of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present application.

In the following description, reference is made to "some embodiments" which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict.

Where similar language of "first/second" appears in the specification, the following description is added, and where reference is made to the term "first \ second \ third" merely for distinguishing between similar items and not for indicating a particular ordering of items, it is to be understood that "first \ second \ third" may be interchanged both in particular order or sequence as appropriate, so that embodiments of the application described herein may be practiced in other than the order illustrated or described herein.

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of the present application only and is not intended to be limiting of the application.

Please note that: according to the modified claims, when the specification is modified, the specification content corresponding to each right is not required to be omitted by checking item by item.

Referring to fig. 1, an embodiment of a pipeline system includes an input module 10, a preprocessing module 20, one or more analysis modules 30, a post-processing module 40, a track 50, a scheduling device 60, a controller 70, a display module 80, and a sample identification module (not shown). The track 50 is used to connect the modules, for example, the input module 10, the pre-processing module 20, the one or more analysis modules 30, the post-processing module 40, and the like, and the dispatching device 60 dispatches the samples to the corresponding modules through the track. It should be noted that the post-processing module 40 is not necessary in some pipeline systems and is an optional module.

The input module 10 is used for receiving samples put by users. The input module 10 in the pipeline system is generally the area where the user puts the sample, and when the pipeline system is in operation, the input module 10 can automatically scan the sample put therein, sort the sample, and the like, so as to be processed by the next module, such as the preprocessing module 20. In one embodiment the input module 10 has an input area for a user to place a sample. In one embodiment, the input module 10 can also identify the sample identifier, and the specific implementation manner is various. In an embodiment, after the input module 10 receives a sample put by a user, a sample identification module may scan a barcode on a container, such as a test tube, containing the sample, so as to obtain sample identification information. In the embodiment of the present application, the sample identifier may be an IC tag, a barcode tag, or an ID of an RFID. The sample identification module sends the sample identification Information to the controller 70 after acquiring the sample identification Information, and the controller 70 may acquire the detection item Information of the sample from a Laboratory Information Management System (LIS) based on the sample identification Information so as to perform sample detection based on the detection item Information.

In the embodiment of the present application, the sample identification module may be a sub-module in the input module 10, or may be independent from the input module 10.

The preprocessing module 20 is used for completing the preprocessing of the sample. In one embodiment, referring to fig. 2, the pre-processing module 20 may include one or more of a centrifuge module 21, a serum detection module 22, a decapping module 23, and a dispensing module 24. The centrifuge modules 21 are used for centrifuging the sample to be centrifuged, and the number of the centrifuge modules 21 may be one or more. The serum test module 22 is used to determine whether the serum amount of the sample is sufficient and/or whether the serum quality of the sample is acceptable, so as to determine whether the centrifuged sample can be used for subsequent determination. The decapping module 23 is used for decapping the centrifuged sample — as will be understood, capping, coating, decapping, and decapping the sample herein, it refers to capping, coating, decapping, and decapping the sample tube containing the sample; typically, the sample is uncapped after centrifugation for subsequent dispensing or pipetting in the dispensing module 24 or in the analysis module. The dispensing module 24 is used to dispense a sample, for example, a sample is divided into a plurality of samples, which are sent to different analysis modules 30 for measurement. The preprocessing module 20 generally has a preprocessing flow: the centrifugal module 21 receives the sample scheduled by the input module 10 and centrifuges the sample; the serum detection module 22 detects serum of the centrifuged sample, and judges whether the serum can be used for subsequent measurement, and if the serum is insufficient in amount or unqualified in quality, the serum cannot be used for subsequent measurement; if the detection is passed, the sample is dispatched to the decapping module 23, the decapping module 23 removes the cap of the sample, if the dispensing module 24 exists, the dispensing module 24 performs the sample splitting on the removed sample, then the sample after the sample splitting is dispatched to the corresponding analysis module 30 for measurement, and if the dispensing module 24 does not exist, the sample is dispatched from the decapping module 23 to the corresponding analysis module 30 for measurement.

The analysis module 30 is used to test the centrifuged and decapped samples. To improve efficiency and test throughput, typically, a pipeline system will have multiple analysis modules 30, and these analysis modules 30 may be the same kind of analysis module, i.e., analysis module for determining the same item, or different kinds of analysis modules, i.e., analysis modules for determining different items, which may be configured according to the needs of users and departments.

The post-processing module 40 is used to complete post-processing of the sample. In one embodiment, referring to fig. 3, the post-treatment module 40 includes one or more of a capping/filming module 41, a refrigerated storage module 42, and a decapping/decapping module 43. The film adding/capping module is used for adding films or caps to the samples; the refrigerated storage module 42 is used for storing samples; the stripping/decapping module is used for stripping or decapping a sample. One typical post-processing flow for post-processing module 40 is: after the sample is aspirated by the analysis module 30, the sample is dispatched to the membrane/capping module 41, and the membrane/capping module 41 performs membrane or capping on the sample after the measurement is completed, and then the sample is dispatched to the cold storage module 42 for storage. If the sample requires retesting, the sample is dispatched from the refrigerated storage module 42, stripped or decapped in a stripping/decapping module 43, and then dispatched to the analysis module 30 for testing.

Referring to fig. 4, as an example of the pipeline system, each module further includes a module buffer, for example, the centrifugal module 21 has a buffer; the track 50 also has a track buffer (a zigzag track in the upper right corner of the figure), and the whole track can be a circular track. It should be noted that there are only one module in many types shown in the figures, but those skilled in the art will understand that there is no limitation on the number, for example, there may be more than one centrifuge module 21, more than one analysis module 30, etc.

In the embodiment of the present application, when a user puts a sample into the input area of the input module 10, the input module 10 receives the sample put into the input area and identifies the sample identifier through the sample identification module in the input module (or a sample identification module outside the input module). After acquiring the sample identification information, the sample identification module sends the sample identification information to the controller 70, and the controller 70 may acquire the detection item information of the sample from the LIS system based on the sample identification information, so as to perform sample detection based on the detection item information.

After the sample identifier is identified, the sample is transmitted to the preprocessing module 20 through the rail 50 to preprocess the sample, and after the preprocessing is completed, the sample is transmitted to the analysis module 30 through the rail 50, and the sample is detected based on the acquired detection item information.

In this embodiment, the sample recognition module may be multiple and may be disposed at some fixed position on the track of the pipeline system, and when the sample passes through the track where the sample recognition module is disposed, the sample recognition module may scan and recognize the sample identifier, thereby determining the position information of the scanned sample, and transmitting the position information of the sample to the controller 70.

In the sample detection process, the controller 70 may also obtain the used detection time of the sample in real time, and the controller 70 may predict the detection time required for the sample to complete the detection according to the position information and/or the detection item information of the sample; and displays the sample identification and the detection duration of the sample through the display module 80. Therefore, the user can know the predicted detection time length of each sample through the display module 80 at any time, so that when the predicted sample detection time length exceeds the time length threshold value, the priority of the sample is improved, the actual detection time length of the sample is shortened, and the timeliness of sample detection is ensured.

In some embodiments, in order to enable the user to determine which samples have the detection duration with the overtime risk more quickly and conveniently, when the detection duration is greater than or equal to a preset duration threshold (with the overtime risk), the controller 70 controls the display module 80 to display the sample identifications of the samples with the overtime risk and the corresponding detection durations in a first display manner;

when the detection duration is less than a preset duration threshold (without a time-out risk), the controller 70 controls the display module 80 to display the sample identifier and the corresponding detection duration in a second display manner, where the first display manner is different from the second display manner. For example, the first display mode may be to display the displayed sample identifier, the detection duration, and other display information in a red font, a yellow font, or an orange font, and the second display mode may be to display the displayed sample identifier, the detection duration, and other display information in a black font; in some embodiments, the first display mode may be to display a display background of the display information in yellow or orange, and the second display mode may be to display a display background of the display information in white or gray. In some embodiments, the first display mode and the second display mode are different, and different display may be performed by using other colors and combinations. In addition, in some embodiments, the first display mode and the second display mode are different and may be embodied in other modes (for example, only the sample with the timeout risk is highlighted, and the sample without the timeout risk is not highlighted).

In some embodiments, the sample identifier, the detection duration, and the like to be displayed may be displayed in a list, and when the detection duration is greater than or equal to the duration threshold, the controller 70 controls the display module 80 to display the sample identifier and the corresponding detection duration in a first display manner in a first list;

when the detection duration is less than the duration threshold, the controller 70 controls the display module 80 to display the sample identifier and the corresponding detection duration in the first list in a second display manner, where the first display manner is different from the second display manner, for example, in different colors, different backgrounds, and different fonts, and only the risk sample is displayed in a highlighted manner.

In some embodiments, the sample information with the timeout risk and the sample information without the timeout risk may also be displayed in different lists, in this case, when the detection duration is greater than or equal to a preset duration threshold, the controller 70 controls the detection duration and the sample identifier to be displayed in a second list;

when the detection duration is less than the duration threshold, the controller 70 controls the detection duration and the sample identifier to be displayed in a third list.

In some embodiments, in general, the user does not pay much attention to whether the detection time length of the sample which has completed the detection is overtime, so that the information of the sample identifier, the detection time length, and the like of the sample which has completed the detection can be displayed in a single list, and then, when the detection time length is greater than or equal to the preset time length threshold value and the sample does not complete the detection, the controller 70 controls the detection time length and the sample identifier to be displayed in a second list;

when the detection duration is less than the duration threshold and the sample is not completely detected, the controller 70 controls the detection duration and the sample identifier to be displayed in a third list;

when the sample is completely detected, the controller 70 controls the detection time length and the sample identification to be displayed in a fourth list.

In some embodiments, when it is determined that the detection duration is greater than or equal to the preset duration threshold, it indicates that the TAT of the sample is too long at this time, and there is a risk of timeout, and therefore, the adopted processing policy may be that the controller controls to alarm, and/or the controller raises the priority of the sample, and controls the scheduling device to schedule the sample based on the raised priority, that is, when the detection duration is greater than or equal to the duration threshold, there may be three processing policies that can be adopted: firstly, only alarming; alarming and improving the priority of the sample; and thirdly, only raising the priority of the sample and not alarming. Which processing strategy is specifically adopted can be determined according to the sample type, the sample source, the item package information and the like, and can also be preset in advance according to the detection requirement.

In some embodiments, manual lifting may be used when performing priority lifting. Since the detection duration of each sample is displayed in the display module, the user can determine whether the detection duration of the sample is greater than or equal to the preset duration threshold according to the displayed detection duration of the sample, that is, whether the sample has an overtime risk, and the priority of the sample with the TAT overtime risk is raised.

In order to facilitate the user to know which samples have the overtime risk more intuitively, in some embodiments, the controller 70 may also be configured to determine whether the detection duration of the samples is greater than or equal to a preset duration threshold, that is, determine whether the samples have the overtime risk, and perform differential display on the sample information having the overtime risk and the sample information having no overtime risk temporarily, so that the user only needs to select the samples whose priority is to be increased according to the displayed sample identification and the detection duration.

In the embodiment of the application, the user can select to increase the priority of the sample with the overtime risk, and can also increase the priority of the sample without the TAT overtime risk, but the user performs priority increase according to the requirement of the inspection requirement. In this case, the pipeline system further includes: the human-computer interaction device is used for receiving the sample identification and the detection duration displayed by the display module 80, selecting the sample and promoting the priority of the sample; the controller 70 raises the priority of the sample corresponding to the selection operation based on the priority raising operation, and controls the scheduling device to schedule the sample based on the raised priority.

Further, the controller 70 first determines a target priority corresponding to the priority raising operation, and then raises a sample priority corresponding to the selecting operation to the target priority, so as to implement the priority raising of the sample.

In some embodiments, the human-computer interaction device and the display module may be integrated or may implement the human-computer interaction and display functions using the same device, such as a touch screen, a display with a keyboard and/or a mouse, and the like.

In some embodiments, when it is determined that the detection duration is greater than or equal to the preset duration threshold, it is indicated that at this time, the TAT of the sample is too long, and there is a risk of timeout, so that the priority of the sample needs to be raised to shorten the detection duration, and the TAT timeout is avoided. In the actual implementation process, the priority can be automatically raised. At this time, when the detection duration is greater than or equal to the duration threshold, the controller 70 raises the priority of the sample according to a preset priority raising policy, and controls the scheduling device to schedule the sample based on the raised priority.

In an embodiment of the present application, the priority boost policy includes one, two or more priority levels. When the priority raising policy includes a priority level (e.g., priority processing), when the detection duration is greater than or equal to the preset duration threshold and the priority needs to be raised, raising the priority level to priority processing directly according to the priority raising policy.

In some embodiments, the priority boost policy may include two or more priority levels, for example, may include three priority levels: a first priority, on the same level as the emergency call; a second priority level, which is a priority level lower than the emergency call but higher than other types of samples; the third priority is the priority treatment in the same class sample type.

When the priority boost policy includes two or more priority levels, the controller 70 first obtains at least one of a sample type, a sample source, and item package information based on a sample identifier when the controller 70 boosts the priority of the sample according to a preset priority boost policy; determining the target priority according to a priority promotion strategy and at least one of the sample type, the sample source and the item package information; the controller 70 then raises the priority of the sample to the target priority.

For example, when the priority boost policy includes the above three priority levels, in determining the target priority, it may be determined according to the sample source, when the sample source is an emergency, then the target priority is a first priority, when the sample source is an outpatient, then the target priority is a second priority, and when the sample source is an in-patient, then the target priority is a third priority.

In some embodiments, when the controller 70 is configured to predict the detection time required for the sample to complete the detection, the controller 70 first obtains the used detection time for the sample detection on the sample; the controller 70 further determines a remaining time period for the sample to complete the remaining tests; and predicting the detection time length required by the sample to finish the detection based on the used detection time length and the residual time length, wherein the detection time length required by the sample to finish the detection is the total time length obtained by adding the used detection time length and the residual time length, for example, the used detection time length of the sample is 20 minutes, the predicted residual time length is 30 minutes, and the detection time length required by the sample to finish the detection is 20+ 30-50 minutes.

In the embodiment of the present application, the controller 70 may determine the remaining duration of the remaining detection of the sample in two ways, i.e., a coarse calculation and a precise calculation. The following two methods will be described separately.

When roughly calculating the remaining time of the sample for completing the remaining detection, the controller 70 determines each incomplete program of the sample and the track turnaround time for completing the incomplete program based on the position information of the sample, and obtains the number of queued samples in the module for executing each incomplete program; the controller 70 determines the waiting time of the samples according to the average processing time of each module and the number of queued samples, and finally determines the remaining time according to the track turnaround time, the waiting time and the processing time corresponding to each module.

In the above implementation of roughly calculating the remaining duration of the sample, the unfinished procedure of the sample may be determined according to the position information of the sample or according to the finished procedure. For example, it may be determined from the position information of the sample that the centrifugation procedure has just been performed on the sample, and the incomplete procedure may include: serum detection, decapping, dispensing, individual detection procedures, membrane addition and capping, and the like. For another example, when it is determined that the sample has just executed a certain detection procedure according to the position information of the sample, the incomplete procedure may include: the detection procedure is not completed, and the membrane is added and covered. And calculating the waiting time by using the number of the queued samples in the module for executing the unfinished program and the average processing time of the module without considering the specific number of the programs to be finished of each queued sample, thereby realizing rough prediction.

When the remaining time length of the sample for completing the remaining detection is accurately calculated, the controller 70 determines each incomplete procedure of the sample and the track turnaround time length for completing the incomplete procedure based on the current position of the sample (the detection item information of the obtained sample and the like may also be considered); acquiring to-be-completed programs of queued samples in modules of each uncompleted program for executing the samples; determining the waiting time of the samples according to the processing time corresponding to the to-be-completed program of each queued sample; and determining the remaining time length according to the track turnover time length, the waiting time length and the processing time length corresponding to each unfinished program.

For example, a certain incomplete program is five liver functions, a module executing the incomplete program is a biochemical analyzer, the number of queued samples of the biochemical analyzer is 3, and the to-be-completed programs of the 3 queued samples are ten liver functions, seven kidney functions and three thyroid functions, respectively, because for the same detection device (e.g., the biochemical analyzer), the detection time periods required for detecting different items may be very different, for example, 5 minutes is required for detecting five liver functions, and 20 minutes is required for detecting ten liver functions, in order to accurately calculate the waiting time period, the processing time period corresponding to the to-be-completed program of each queued sample needs to be determined, and then the processing time periods of each queued sample are summed to obtain the waiting time period.

In some embodiments, the controller is further configured to predict a detection time period required for the sample to complete detection each time the sample completes a certain number of procedures; and optionally, synchronously controlling the display module to update and display. For example, in an actual implementation process, the detection time length required for completing detection of one sample may be predicted every time the sample completes one program, so as to be able to timely determine whether there is a risk of timeout, and of course, when the TAT time length requirement is not high or due to other considerations, the detection time length may be predicted every time two or more programs are completed, which is not specifically limited in the embodiment of the present application.

In some embodiments, the pipeline system further comprises: and the alarm module is used for outputting alarm information when the detection duration is greater than or equal to the duration threshold. The alarm information may be output in a manner of displaying sample information with a risk of timeout prominently on the display module (for example, displaying the sample information with a striking color, displaying a font or background such as red, orange, or yellow, highlighting, or displaying the relevant information of the sample with a risk in other forms such as different fonts), may also be output on the display module in a prompt box with a TAT timeout, and may also be output in alarm sounds such as voice and buzzing. Thus, the user may be alerted when a sample at risk of TAT timeout is determined. In some embodiments, the display module 80 is further configured to display at least one of the position information of the sample, the used detection time length of the sample, the remaining time length, the preset time length threshold corresponding to the sample, and the sample state, in addition to the sample identifier and the detection time length.

In some embodiments, the display module 80 may also be used to display a query button control, a view details button control, a raise priority button control, and an exit button control.

In some embodiments, the controller 70 may also control the display module 80 to perform an updated display of the sample identification and the detection duration each time the detection duration is re-predicted.

When the query button control is clicked, a dialog box for inputting query conditions can be popped up, and a user can input the query conditions according to the query requirements of the user. In general, the query condition may be a sample identification, i.e., a bar code number. When a record in the list is selected and the detailed information button control is clicked, the detailed information of the record is popped up, which may include, for example, the time when the sample enters a certain module, the time when the sample leaves the module, the sample detection condition at each module, and the like. When one record in the list is selected and the priority raising button control is clicked, the sample corresponding to the record can be raised to a preset priority, at least one of the type of the sample, the source of the sample and the package of items can be obtained according to the sample identification in the record to determine a priority raising strategy, and then a target priority is determined, so that the priority of the sample is raised to the target priority. When one record in the list is selected and the priority raising button control is clicked, a dialog box for a user to select the target priority can be popped up, the target priority is determined based on the selection operation of the user, and then the priority of the sample is raised to the target priority, so that the TAT time of sample detection is shortened, and the overtime risk is reduced.

In some embodiments, the duration threshold may be set by default, or may be set by the user according to the actual sample detection situation. At this time, the human-computer interaction equipment is also used for receiving the setting operation of the user for setting the time length threshold; the controller determines a set duration threshold based on the setting operation.

In some embodiments, the human-computer interaction device is further configured to receive an information query operation, and the controller 70 obtains target information corresponding to the information query operation and controls the display module 80 to display the target information. For example, a user can input sample identification, and query detailed information such as the detection duration, detection item information, sample state, position and the like of a sample, so that better human-computer interaction experience is provided.

An embodiment of the present application further provides a method for predicting sample detection time (TAT) of a pipeline system, which is hereinafter referred to as a time prediction method for short, and is applied to the pipeline system shown in fig. 1, fig. 5 is a schematic diagram of an implementation flow of the time prediction method according to the embodiment of the present application, and as shown in fig. 5, the time prediction method includes the following steps:

step S501, receiving a sample in an input area, and identifying a sample identifier of the sample.

Here, when the pipeline system is in operation, the samples are automatically scanned and sorted at the input area. The sample identification of the sample can be identified by automatically scanning the code of the sample, and further, a container containing the sample, such as a bar code on a test tube, can be scanned by the sample identification module (or a sample identification module outside the input area) in the input area, so that the sample identification is acquired. The sample identifier may be a barcode number in the embodiment of the present application.

In some embodiments, the sample identifier for identifying the sample may be not limited to the input area, but may be multiple, because the sample identification module may be disposed at a fixed position on the track of the pipeline system, and the sample identifier may be identified every time the sample passes through the sample identification module.

Step S502, sample detection is carried out on the sample, and the detection time length required by the sample to finish detection is predicted.

Here, in the embodiment of the present application, after the sample identifier of the sample is identified, the pipeline system (controller in the system: e.g. middleware) may obtain the detection item information of the sample from the data management center (e.g. LIS system) through the sample identifier, so that the sample can be sequentially detected according to the detection item information of the sample. And in the detection process, predicting the detection time required by the sample to finish detection.

In some embodiments, the detection duration required for completing the detection of the sample may be predicted again each time the sample completes a certain number of programs (analysis step programs), for example, in an actual implementation process, the detection duration required for completing the detection of one sample may be predicted each time the sample completes one program, so as to be able to timely determine whether there is a risk of timeout, of course, when the requirement on the TAT duration is not high, the detection duration may be predicted each time two or more programs are completed, which is not specifically limited in this embodiment of the present application. The detection time length required for completing the detection can include used detection time length and residual detection time length, and the detection time length required for predicting the sample to complete the detection is mainly required to determine the residual time length required for completing the residual detection items.

In some embodiments, as shown in fig. 5, after step S502, the method further comprises:

step S503, displaying the sample identification of the sample and the corresponding detection duration.

In some embodiments, the sample identification and the detection duration may be displayed in a list. In some embodiments, in addition to displaying the sample identifier and the detection time length, at least one of the position information of the sample, the used detection time length of the sample, the remaining time length, the preset time length threshold corresponding to the sample, and the sample state may be displayed. Therefore, the user can visually see the information such as the sample identification, the detection duration and the like of each sample, and the priority can be improved for the samples with TAT overtime risks. In some embodiments, further comprising: and updating and displaying the sample identification and the detection duration based on the predicted detection duration again.

In some embodiments, in order to enable a user to determine which samples have overtime risks in the detection duration more quickly and conveniently, the following steps may be performed when the sample identifier and the detection duration are displayed:

step S5031a, when the predicted detection duration is greater than or equal to the duration threshold (that is, the sample has a timeout risk), displaying the sample identifier and the corresponding detection duration in a first display manner;

step S5032a, when the predicted detection duration is less than the duration threshold (that is, the sample has no risk of timeout), displaying the sample identifier and the corresponding detection duration in a second display manner, where the first display manner is different from the second display manner.

For example, the first display mode may be to display the displayed sample identifier, the detection duration, and other display information in a red font, a yellow font, or an orange font, and the second display mode may be to display the displayed sample identifier, the detection duration, and other display information in a black font; in some embodiments, the first display mode may be to display a display background of the display information in yellow or orange, and the second display mode may be to display a display background of the display information in white or gray. In some embodiments, the first display mode and the second display mode are different, and different display may be performed by using other colors and combinations. In addition, in some embodiments, the first display mode and the second display mode are different, and may also be embodied in other modes, such as only highlighting the samples at risk, and the samples without risk are not highlighted.

In some embodiments, the sample identifiers, the detection durations, and the like that need to be displayed may all be displayed in a list, in which case step S503 may be implemented by:

step S5031b, when the detection duration is greater than or equal to the duration threshold, displaying the sample identifier and the corresponding detection duration in a first display manner in a first list;

step S5032b, when the detection duration is less than the duration threshold, displaying the sample identifier and the corresponding detection duration in the first list in a second display manner, where the first display manner and the second display manner are different, for example, different colors, different backgrounds, different fonts, and only highlighting the risk sample are displayed.

In some embodiments, it may also be possible to display the sample information with the timeout risk and the sample information without the timeout risk in different lists, where step S503 may be implemented by:

step S5031c, when the detection duration is greater than or equal to a preset duration threshold, controlling the detection duration and the sample identifier to be displayed on a second list;

in step S5032c, when the detection duration is smaller than the duration threshold, the detection duration and the sample identifier are controlled to be displayed on a third list.

In some embodiments, in general, the user does not pay much attention to whether the detection time length of the sample that has completed the detection is overtime, so the sample identifier, the detection time length, and other information of the sample that has completed the detection can be displayed in a single list, and step S503 can be implemented by the following steps:

step S5031d, when the detection duration is greater than or equal to a preset duration threshold and the sample is not completely detected, controlling the detection duration and the sample identifier to be displayed in a second list;

step S5032d, when the detection duration is smaller than the duration threshold and the sample is not completely detected, controlling the detection duration and the sample identifier to be displayed on a third list;

step S5033d, when the sample completes the detection, controlling the detection duration and the sample identifier to be displayed on a fourth list.

In some embodiments, on the basis of displaying the sample identifier and the detection duration, the user may manually raise the priority of some samples based on the displayed sample identifier and the detection duration, and after step S503, as shown in fig. 5, the method further includes:

step S504, receiving the sample identification and the detection duration displayed by the display module, the selection operation of the sample and the priority promotion operation of the sample.

Here, when the step S504 is implemented, the selection operation of the sample may be a piece of record selected by the user for the sample identification and the detection duration displayed on the display module (e.g., a display of the middleware) of the pipeline. In some embodiments, a button control for increasing the priority may be further displayed on the display interface for displaying the sample identifier and the detection duration, where the priority increase operation on the sample may be a click or touch operation of the user on the button control. Of course, a button control for raising the priority may not be displayed, and the operation for raising the priority of the sample may be that the user clicks or presses a shortcut key for raising the priority that is preset, or the user makes a preset gesture for raising the priority or utters a preset voice for raising the priority, or the like.

The sample corresponding to the selection operation may be a sample whose detection duration is greater than or equal to a preset duration threshold, or may be a sample whose detection duration is less than the duration threshold.

Step S505, based on the priority lifting operation, lifting the priority of the sample corresponding to the selection operation.

Here, when the step S505 is implemented, a target priority corresponding to the priority raising operation is first determined; and then raising the priority of the sample corresponding to the selection operation to the target priority. For example, after the user selects a sample to be boosted in priority, a prompt box for selecting priority may be automatically output (or pop up) so that the user selects the target priority for boosting. In some embodiments, after the user selects the sample to be prioritized, a preset certain priority (e.g., the first priority, the second priority, or the third priority, etc.) may be directly used as the target priority through a touch or click operation on the priority increasing button.

Step S506, controlling the scheduling device to schedule the sample based on the promoted priority.

Here, after the priority of the sample is raised, the control scheduling device schedules the sample based on the raised priority, and the detection time length can be shortened compared with that before the priority of the sample is raised, thereby reducing the risk of timeout.

In some embodiments, as shown in fig. 6, after step S502, the following steps may also be performed:

step S503', determining whether the detection time length is greater than or equal to a preset time length threshold.

Here, when it is determined that the detection time length is greater than or equal to the preset time length threshold, it indicates that the sample has a TAT timeout risk, and then step S504' is entered; when the detection duration is determined to be less than the duration threshold, it is indicated that the sample has no TAT timeout risk, at this time, step S502 is entered, the sample detection is continued, and the detection duration required for completing the detection is continuously predicted.

Step S504', when it is determined that the detection duration is greater than or equal to the duration threshold, the priority of the sample is raised.

Here, raising the priority of the sample means that the sample can be scheduled preferentially, so that the detection time of the sample completing detection can be shortened, and the risk of TAT timeout is reduced. In some embodiments, when the detection duration is greater than or equal to the duration threshold, alarm information is output. The alarm information may be output in a manner of displaying sample information with a risk of timeout prominently on the display module (for example, displaying the sample information with a striking color, a font or background such as red, orange or yellow, or highlighting the sample information with a risk in other forms such as different fonts), or may be output on the display module in a prompt box with a timeout TAT, or may be output in an alarm sound such as voice or buzzer. Thus, the user may be alerted when a sample at risk of TAT timeout is determined.

And step S505', controlling a scheduling device to schedule the sample based on the promoted priority.

In some embodiments, when the detection duration is greater than or equal to the duration threshold and the priority of the sample is to be raised, the raising may be performed in an automatic raising manner, that is, when the detection duration is greater than or equal to the duration threshold, the step S504' may be performed by raising the priority of the sample according to a preset priority raising policy when the detection duration is greater than or equal to the duration threshold.

In some embodiments, when the detection duration is greater than or equal to a preset duration threshold, according to a preset priority raising policy, raising the priority of the sample may be implemented by:

step S504' 1, when the detection duration is greater than or equal to a preset duration threshold, determining at least one of a sample type, a sample source and item package information based on the sample identifier.

Here, the sample type may be serum, plasma, urine, etc., the sample source may include outpatient, emergency, hospitalization, etc., and the program set may include biochemistry, luminescence, hormones, etc.

Step S504' 2, according to at least one of the sample type, the sample source and the item package information and the priority lifting strategy, determining the target priority.

Here, for example, when the priority raising policy includes the above three priority levels, the target priority is determined according to the sample source when determining the target priority, the target priority is a first priority when the sample source is an emergency, the target priority is a second priority when the sample source is an outpatient, and the target priority is a third priority when the sample source is an inpatient.

Through the steps S504 '1 to S504' 3, when it is determined that the detection duration is greater than or equal to the duration threshold, the target priority may be determined according to a preset priority boost policy and at least one (any one, two, or all) of the sample type, the sample source, and the item package information, so as to achieve the boost of the priority, further shorten the sample detection duration, and reduce the TAT timeout risk.

In some embodiments, the "predicting the detection time required for the sample to complete the detection" in step S502 may be implemented by:

step 221, obtaining a used detection duration for performing sample detection on the sample.

Step 222, determining the remaining duration of the sample for completing the remaining tests.

Here, the remaining time period needs to be determined according to the turnaround time period on the track, the waiting time period, and the item detection time period for completing the undetected item.

And 223, predicting the detection time length required by the sample to finish the detection based on the used detection time length and the residual time length.

Here, the used detection time length and the predicted remaining time length are added, and the detection time length required for the completion of the detection of the sample can be predicted.

In some embodiments, step 222 may be implemented by roughly calculating the remaining duration of the remaining detection of the sample, and accurately calculating the remaining duration of the remaining detection of the sample. Two implementations are described below.

When the remaining duration of the sample for completing the remaining detection is roughly calculated, the remaining duration of the sample for completing the remaining detection can be determined through steps 2221a to 2224a, and steps 2221a to 2224a are explained below.

Step 2221a, determining each unfinished program of the sample and a track turnaround time length for completing the unfinished program based on the position information of the sample.

Here, the position information of the sample may be determined by positions of a plurality of sample recognition modules disposed on the pipeline, and since the positions of the sample recognition modules are determined, the position information of a certain sample may be determined after a sample identifier of the sample is scanned by the sample recognition modules. The unfinished procedure of the sample may be determined from the location information of the sample or from the finished procedure. For example, it may be determined from the position information of the sample that the centrifugation procedure has just been performed on the sample, and the incomplete procedure may include: serum detection, decapping, dispensing, individual detection procedures, membrane addition and capping, and the like. For another example, when it is determined that the sample has just executed a certain detection procedure according to the position information of the sample, the incomplete procedure may include: the detection procedure is not completed, and the membrane is added and covered. And finally, determining incomplete programs according to the completed programs, and determining the track turnaround time length for completing the incomplete programs.

It should be noted that the track turnaround time includes only the running time of the sample on the track, and does not include the waiting time.

Step 2222a, the number of queued samples in the module executing each unfinished program is obtained.

Step 2223a, determine the waiting time of the sample according to the average processing time of the module and the number of the queued samples.

Here, when the remaining time length is roughly calculated, the specific to-be-completed program of each sample queued is not considered, and the waiting time length is determined only by using the average processing time length and the number of queued samples of each module.

Step 2224a, determining the remaining duration according to the track turnaround duration, the waiting duration and the processing duration corresponding to each module.

Here, the remaining time length can be predicted by adding the track turnaround time length, the waiting time length, and the detection time length corresponding to each incomplete detection item. In step 2224a, the processing duration corresponding to each module may be an average processing duration of the processing durations corresponding to each module, or may be an actual processing duration of an incomplete program.

When the remaining duration is determined through steps 2221a to S2224a, the waiting duration can be determined only according to the average processing duration and the number of queues of the modules executing each unfinished program, and the calculation amount is relatively small, so that the efficiency of predicting the remaining duration can be improved.

When the remaining time length of the sample for completing the remaining detection is accurately calculated, the remaining time length of the sample for completing the remaining detection can be determined through steps 2221b to 2224b, and steps 2221b to 2224b are explained below.

Step 2221b, determining each incomplete procedure of the sample and a track turnaround time length for completing the incomplete procedure based on the current position of the sample.

Here, step S2221b is similar to the implementation procedure of step 2221a, and reference may be made to the implementation procedure of step 2221 a.

Step 2222b, the to-be-completed programs of the queued samples in the modules of each uncompleted program executing the sample are obtained.

For example, a certain unfinished program is five liver functions, a module executing the unfinished program is a biochemical analyzer, and the number of queued samples of the biochemical analyzer is 3, and the to-be-finished programs of the 3 queued samples are ten liver functions, seven kidney functions and three thyroid functions, respectively (the test item information of the predicted samples and the queued samples, which can be obtained from a data management system such as the LIS system by the controller based on the sample identifications thereof).

Step 2223b, determine the sample waiting duration according to the processing duration corresponding to the to-be-completed program of each queued sample.

For the same detection device (e.g., a biochemical analyzer), the detection time periods required for detecting different items may be very different, for example, five items of liver function detection require 5 minutes, and ten items of liver function detection require 20 minutes, so that in the implementation of step 2223b, the processing time period corresponding to the to-be-completed program of each queued sample needs to be determined, and then the processing time periods corresponding to the to-be-completed program of each queued sample are summed to obtain the waiting time period.

Step 2224b, determining the remaining duration according to the track turnaround duration, the waiting duration and the processing duration corresponding to each unfinished program.

Here, the remaining time length can be predicted by adding the track turnaround time length, the waiting time length, and the processing time length corresponding to each uncompleted program. In step 2224b, the processing duration corresponding to the uncompleted program may be the actual processing duration of the uncompleted program. When the remaining duration is determined through steps 2221b to S2224b, the to-be-completed program of each queued sample and the actual processing duration corresponding to each to-be-completed program need to be determined, so as to find the waiting duration.

In some embodiments, the duration threshold may be set by default, or may be set by the user according to the actual sample detection situation. The manual setting of the duration threshold can be achieved by:

step 41, receiving a setting operation for setting a duration threshold;

and step 42, determining a set time length threshold value based on the setting operation.

When implemented, step 42 may determine, based on the setting operation, a setting duration corresponding to the setting operation, and then further determine whether the setting duration is within a specified duration threshold range, if the setting duration is within the specified duration threshold range, determine the setting duration as a set duration threshold, if the setting duration is not within the specified duration threshold range, for example, the setting duration is greater than a specified maximum duration threshold, determine the specified maximum duration threshold as the set duration threshold, and if the setting duration is less than a specified minimum duration threshold, determine the specified minimum duration threshold as the set duration threshold.

In some embodiments, information querying may also be accomplished by:

step 61, receiving an information query operation.

Here, the query operation may be an input sample identification or a scan sample identification.

And step 62, acquiring target information corresponding to the information query operation, and displaying the target information.

Through the steps 61 to 62, when the user inputs the sample identifier to perform information query, the target information such as the detection duration, the detection item information and the sample state of the sample can be queried based on the sample identifier so as to be checked by the user, and therefore better human-computer interaction experience is provided.

Next, an exemplary application of the embodiment of the present application in a practical application scenario will be described.

In the embodiment of the present application, the TAT time of a sample is predicted by monitoring and predicting the time it takes for the sample at each node (i.e., each module in other embodiments: input module, preprocessing module, analysis module, track, and optionally subsequent processing module, etc.) in the pipeline system. And refreshing the time actually spent on the completed part every time one node is passed, and predicting the time spent on passing each node in the future so as to predict the TAT of the sample again. If the TAT exceeds a threshold set by the customer, the system can automatically or manually elevate the processing priority of the sample, ensure that the TAT of the sample which may be overtime can be elevated in the priority of the future processing node, reduce the time required for processing at the future node, and thus reduce the TAT time of the sample.

In the embodiment of the present application, after the TAT is predicted, a display interface as shown in fig. 7 may be further displayed, in the display interface shown in fig. 7, an uncompleted sample list 701 may be displayed, and in the uncompleted sample list 701, a bar number, a sample number (ID), a predicted TAT, an elapsed time, a predicted remaining time, a sample current position, and a sample state may be displayed. In the TAT timeout warning list 702, the bar number, the sample ID, the predicted TAT, the elapsed time, the predicted remaining time, the current position of the sample, and the state of the sample may also be displayed, but information of the sample whose predicted TAT is greater than or equal to the TAT threshold is stored in the TAT timeout warning list. In the completed sample list 703, information such as a bar code number, a sample ID, a detection time length, a sample current position, and a sample state may be displayed.

In addition, as shown in fig. 7, in addition to processing and displaying information such as the detection time, the sample state, and the like of each sample on the interface displaying the sample information, an inquiry button control 704, a view detailed information button control 705, a raise priority button control 706, and an exit button control 707 are provided.

When the query button control 704 is clicked, a dialog box for inputting query conditions can be popped up, and the user can input the query conditions according to the query requirements of the user. Generally, the query condition may be a sample identifier, that is, a bar code number, and the pipeline system queries information such as a sample state and a TAT of a specified sample according to the query condition input by a user, where an actual TAT time is shown for a sample that has already been detected, and a predicted TAT time is shown for a sample that has not been detected.

When a record in the list is selected and the detailed information button control 705 is clicked, the detailed information of the record is popped up, which may include, for example, the time when the sample enters a certain module, the time when the sample leaves the module, the sample detection condition at each module, and the like. When one record in the list is selected and the priority raising button control 706 is clicked, the sample corresponding to the record can be raised to a preset priority, or at least one of the type of the sample, the source of the sample and the package of items can be obtained according to the sample identifier in the record to determine a priority raising strategy, so that the target priority is determined, and the priority of the sample is raised to the target priority. When one record in the list is selected and the priority raising button control 706 is clicked, a dialog box for the user to select the target priority can be popped up, the target priority is determined based on the selection operation of the user, and then the priority of the sample is raised to the target priority, so that the TAT time of sample detection is shortened, and the overtime risk is reduced. In the embodiment of the application, a user can set the pipeline TAT early warning threshold T of a sample according to at least one of a sample type, a sample source and a package of items (where information of the sample type, the sample source and the package of items is derived from the LIS). Various samples can also be uniformly set to be the same TAT early warning threshold value. When the predicted TAT of a sample exceeds TAT early warning threshold T, the pipeline system may alarm and display information for the sample on a TAT timeout list.

In the embodiment of the present application, the time is recorded from the moment a sample enters the pipeline, so as to record the elapsed detection time for performing the sample detection and predict the time taken to pass through the future node, thereby calculating the predicted TAT of the sample.

Such as: one pipeline is configured with an Input/Output (I/O) module, a centrifugal module, a cover removing module, a test module A, a test module B, a test module C, a test module D and a test module E. After a sample is put into an I/O module, the middleware in the pipeline system calculates the TAT of the sample according to the load condition of the pipeline, namely an orbit turnaround module TAT (prediction) + a centrifugal module TAT (prediction) + a decapsulation module TAT (prediction) + an A module TAT (prediction) + a B module TAT (prediction) + a C module TAT (prediction) + a D module TAT (prediction) + an E module TAT (prediction).

After the sample is centrifuged, decapped and tested for module a, the predicted TAT for the sample is track turnaround module TAT (actual) + centrifuge module TAT (actual) + decapping module TAT (actual) + a module TAT (actual) + B module TAT (predicted) + C module TAT (predicted) + D module TAT (predicted) + E module TAT (predicted).

In this embodiment, the middleware refreshes and calculates the predicted TAT for a sample, and compares the predicted TAT with the TAT alarm threshold for the sample, each time the sample passes through a module or several modules. Further, when the predicted TAT-TAT early warning threshold is less than 0, the predicted TAT is smaller than the TAT threshold, the sample is judged to have no overtime risk, the sample predicted TAT and the TAT of each node are displayed in a production line, and other processing is not carried out; when the predicted TAT-TAT early warning threshold value is larger than or equal to 0, which indicates that the predicted TAT is larger than or equal to the TAT threshold value, the sample is judged to have overtime risk, the sample predicted TAT and the TAT of each node are displayed in a flow line, and processing is carried out according to a set processing strategy, for example, alarming and/or improving the sample processing priority.

In the embodiment of the present application, when the user manually raises the priority of the sample, there may be the following options:

a first priority, which is on the same level as the priority of the emergency treatment and can also be considered as the highest priority;

a second priority, lower than the priority of the emergency but higher than the priority of other types of samples;

third priority, priority treatment in the same class of sample types.

Certainly, in some embodiments, the priority of the sample can be directly increased to the highest priority when the user manually increases the priority of the sample, so that the sample can be preferentially scheduled, the TAT time is shortened, and the timeliness of sample inspection is ensured. Accordingly, an embodiment of the present application further provides a computer storage medium, on which computer-executable instructions are stored, and when executed, the computer-executable instructions implement the steps of the information processing method provided by the foregoing embodiment.

The above description of the information processing apparatus and computer storage medium embodiments is similar to the description of the method embodiments described above, with similar advantageous effects as the method embodiments. For technical details not disclosed in the embodiments of the information processing apparatus and the computer storage medium of the present application, reference is made to the description of the embodiments of the method of the present application for understanding.

It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present application. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. It should be understood that, in the various embodiments of the present application, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application. The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, all functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.

Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: various media that can store program codes, such as a removable Memory device, a Read Only Memory (ROM), a magnetic disk, or an optical disk.

Alternatively, the integrated units described above in the present application may be stored in a computer-readable storage medium if they are implemented in the form of software functional modules and sold or used as independent products. Based on such understanding, the technical solutions of the embodiments of the present application may be essentially implemented or portions thereof contributing to the prior art may be embodied in the form of a software product stored in a storage medium, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a removable storage device, a ROM, a magnetic or optical disk, or other various media that can store program code.

The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A pipeline system, comprising:

an input module for receiving a sample at an input area thereof;

one or more analysis modules for testing the sample;

2. A pipeline system, comprising:

an input module for receiving a sample at an input area thereof;

one or more analysis modules for testing the sample;

3. The pipeline system of claim 2, further comprising a display module configured to display at least the sample identification and the predicted detection duration for the sample.

4. The pipeline system of any of claims 1-3, wherein the controller is further configured to: and the time length detection module is used for judging whether the predicted detection time length of the sample is greater than a preset time length threshold value or not.

5. The pipeline system of claim 4,

when the detection duration of the sample is greater than the duration threshold, the controller controls a display module to display the sample identification and the corresponding detection duration in a first display mode;

6. The pipeline system of claim 4,

when the detection duration of the sample is greater than or equal to the duration threshold, the controller controls a display module to display the sample identifier and the corresponding detection duration in a first list in a first display mode;

7. The pipeline system of claim 4,

8. The pipeline system of claim 4,

when the detection duration is greater than or equal to a preset duration threshold and the sample is not detected completely, the controller controls the detection duration and the sample identification to be displayed in a second list;

9. The pipeline system of claim 4, wherein the controller raises the priority of the samples when the detection duration is greater than or equal to the duration threshold, and controls the scheduling device to schedule the samples based on the raised priority; and/or controlling to give an alarm.

10. The pipeline system of any of claims 1-4, further comprising: the human-computer interaction equipment is used for receiving the sample identification and the predicted detection duration displayed by the display module, selecting the sample and promoting the priority of the sample; and the controller promotes the priority of the sample corresponding to the selection operation based on the priority promotion operation, and controls a scheduling device to schedule the sample based on the promoted priority.

11. The pipeline system of claim 10, wherein the controller is configured to raise the priority of the sample corresponding to the select operation based on the priority raising operation, comprising:

12. Pipeline system according to claim 1 or 2,

and when the detection duration is greater than the duration threshold, the controller raises the priority of the sample according to a preset priority raising strategy and controls a scheduling device to schedule the sample based on the raised priority.

13. The pipeline system of claim 12, wherein the controller prioritizes the samples according to a preset priority boost strategy comprising:

the controller raises the priority of the sample to the target priority.

14. Pipeline system according to claim 12 or 13, wherein the priority boost strategy comprises one, two or more priority levels.

15. The pipeline system of claim 1 or 2, wherein the controller is configured to predict a detection time period required for the sample to complete detection, comprising:

16. The pipeline system of claim 15, wherein the controller determines a remaining time period for the sample to complete remaining tests, comprising:

17. The pipeline system of claim 15, wherein the controller determines a remaining time period for the sample to complete remaining tests, comprising:

18. The pipeline system of claim 1 or 2, wherein the controller is configured to predict a detection time period required for the sample to complete detection, comprising:

19. The pipeline system of any of claims 1-3, further comprising:

20. The pipeline system according to claim 1 or 3, wherein the display module is further configured to display at least one of position information of the sample, used detection time duration, remaining time duration of the sample, a preset time duration threshold corresponding to the sample, and a sample status.

21. The pipeline system of claim 10, wherein the human-computer interaction device is further configured to receive a setting operation for setting a duration threshold; the controller determines a set duration threshold based on the setting operation.

22. The pipeline system of claim 10, wherein the human-computer interaction device is further configured to receive an information query operation, and the controller obtains target information corresponding to the information query operation and controls the display module to display the target information.

23. A time prediction method based on a pipeline system is characterized by comprising the following steps:

24. A time prediction method based on a pipeline system is characterized by comprising the following steps:

25. A storage medium having stored thereon executable instructions for causing a processor to perform the method of claim 23 or 24 when executed.