CN112651615A - Sample inspection node early warning method, device, system and medium - Google Patents
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Abstract
The invention discloses a sample inspection node early warning method, a device, a system and a medium, wherein the method comprises the following steps: acquiring process nodes in a sample inspection project and setting an individualized early warning rule and/or a universal early warning rule of each process node; judging whether the currently-performed process node has set an individualized early warning rule and meets the individualized early warning rule, if so, sending an early warning message, and otherwise, judging whether the currently-performed process node meets a universal early warning rule; and sending the early warning message when the current flow node meets the general early warning rule. According to the embodiment of the invention, through a diversified configuration scheme, in the process of controlling the sample inspection nodes in the laboratory, the personalized early warning rules and the general early warning rules can be set according to different requirements, the adjustment requirements of different influencing factors on the process nodes are met, the samples can be ensured to complete inspection work timely and reliably under diversified inspection conditions, and the accuracy and the reliability of inspection results are improved.
Description
Technical Field
The invention relates to the technical field of information management, in particular to a sample inspection node early warning method, device, system and medium.
Background
The detection time limit requirement is very strict due to a plurality of examination items with important clinical significance (such as items of blood gas, blood ammonia, urine analysis and the like). The samples which do not meet the requirements cannot obtain reliable test results, the test results are seriously deviated from normal values after overtime, the reliability of clinical application is influenced, and misleading effect is even played in disease diagnosis and curative effect evaluation. A large laboratory receives thousands of samples every day, and how to ensure that the time-limited samples can be detected in time is necessary and difficult work for quality control before analysis is done.
The early warning rules of all nodes are mostly solidified in a system by the current inspection mechanism, and because factors such as the management and control key points, inspection project requirements and inspection environment of different inspection mechanisms influence the long requirement of inspection, the existing early warning mode cannot meet the early warning requirement of diversified environment, and the inspection effect may be deviated.
Accordingly, the prior art is yet to be improved and developed.
Disclosure of Invention
In view of the above-mentioned deficiencies of the prior art, an object of the present invention is to provide a method, an apparatus, a system and a medium for sample inspection node early warning, which aim to solve the problem in the prior art that the reliability of the inspection effect is reduced because the sample inspection node early warning cannot meet the requirements of diversified environments.
The technical scheme of the invention is as follows:
a sample inspection node early warning method comprises the following steps:
acquiring process nodes in a sample inspection project and setting an individualized early warning rule and/or a universal early warning rule of each process node;
judging whether the currently-performed process node has set an individualized early warning rule and meets the individualized early warning rule, if so, sending an early warning message, and otherwise, judging whether the currently-performed process node meets a universal early warning rule;
and sending the early warning message when the current flow node meets the general early warning rule.
In the sample inspection node early warning method, the acquiring of the process nodes in the sample inspection project and the setting of the personalized early warning rule and/or the general early warning rule of each process node include:
acquiring flow node and general service flow information in a sample inspection project, and receiving an individualized flow setting instruction;
setting an individualized early warning rule of a corresponding process node according to the individualized process setting instruction;
and setting a universal early warning rule of the rest or all process nodes according to the universal business process information.
In the sample inspection node early warning method, setting the personalized early warning rule of the corresponding process node according to the personalized process setting instruction includes:
acquiring personalized process nodes and personalized time node requirements according to the personalized process setting instruction;
and respectively setting a first preset completion time and a first early warning prompt time of each personalized process node according to the personalized time node requirements.
In the sample inspection node early warning method, the setting of the general early warning rules of the remaining or all process nodes according to the general business process information includes:
acquiring universal time node requirements of all process nodes according to the universal service process information;
and setting second preset completion time and second early warning prompt time of the process nodes except the personalized process nodes or all the process nodes according to the general time node requirement.
In the sample inspection node early warning method, the step of judging whether the currently performed process node has the personalized early warning rule and meets the personalized early warning rule specifically includes:
and judging whether the current process node is an individualized process node or not according to the individualized process setting instruction and meeting an individualized early warning rule.
In the sample inspection node early warning method, the step of judging whether the currently performed process node is an individualized process node and meets an individualized early warning rule, if so, sending an early warning message, and otherwise, judging whether the currently performed process node meets a general early warning rule, includes:
judging whether the current process node is an individualized process node or not;
if so, judging whether the currently-performed process node is not completed and the distance between the current time and the first preset completion time is less than a first early warning prompt time, and sending an early warning message when the currently-performed process node is not completed and the distance between the current time and the first preset completion time is less than the first early warning prompt time;
if not, judging whether the currently-performed process node is not completed and the distance between the current time and the second preset completion time is less than the second early warning prompt time.
In the sample inspection node early warning method, after the early warning message is sent when the currently performed process node meets the general early warning rule, the method further includes:
and if the process node corresponding to the sent early warning message is finished, automatically eliminating the corresponding early warning message.
Another embodiment of the present invention further provides a sample inspection node early warning apparatus, including:
the rule setting module is used for acquiring process nodes in the sample inspection project and setting an individualized early warning rule and/or a universal early warning rule of each process node;
the first judgment module is used for judging whether the currently-performed process node is provided with the personalized early warning rule and meets the personalized early warning rule;
the second judgment module is used for judging whether the currently-performed process node meets the general early warning rule or not;
and the early warning module is used for sending early warning information when the current process node meets the personalized early warning rule or the general early warning rule.
Yet another embodiment of the present invention further provides a sample inspection node early warning system, comprising at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the above sample test node warning method.
Yet another embodiment of the present invention provides a non-transitory computer-readable storage medium storing computer-executable instructions that, when executed by one or more processors, cause the one or more processors to perform the above-described sample inspection node early warning method.
Has the advantages that: compared with the prior art, the embodiment of the invention can set individualized early warning rules and general early warning rules according to different requirements in the control process of the sample inspection nodes in a laboratory through a diversified configuration scheme, meets the adjustment requirements of different influencing factors on process nodes, ensures that a sample can complete inspection work timely and reliably under diversified inspection conditions, and improves the accuracy and reliability of inspection results.
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
FIG. 1 is a flowchart of a sample inspection node early warning method according to a preferred embodiment of the present invention;
FIG. 2 is a functional block diagram of a sample inspection node early warning apparatus according to a preferred embodiment of the present invention;
fig. 3 is a schematic diagram of a hardware structure of a sample inspection node early warning system according to a preferred embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and effects of the present invention clearer and clearer, the present invention is described in further detail below. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. Embodiments of the present invention will be described below with reference to the accompanying drawings.
Referring to fig. 1, fig. 1 is a flowchart illustrating a sample check node early warning method according to a preferred embodiment of the present invention. As shown in fig. 1, it includes the following steps:
s100, acquiring process nodes in a sample inspection project and setting an individual early warning rule and/or a general early warning rule of each process node;
s200, judging whether the current process node has set an individualized early warning rule and meets the individualized early warning rule, if so, sending an early warning message, otherwise, judging whether the current process node meets a universal early warning rule;
and S300, sending an early warning message when the current process node meets the general early warning rule.
In this embodiment, each inspection organization sets a general service flow for a sample inspection project, which includes a plurality of flow nodes, such as sampling, sample collection, list recording and rechecking, inspection, auditing, report preparation, issue, and the like, the flow nodes can be flexibly adjusted according to the service needs of different inspection organizations, after all the flow nodes are acquired, an early warning rule of each flow node is set according to the configuration requirements of the sample inspection project, specifically, the early warning rule is a personalized early warning rule and/or a general early warning rule to meet the requirements of different sample inspection projects and adapt to the influence of environmental changes on the node early warning, then in the sample inspection process, the completeness of each flow node is judged and an early warning message is output according to the personalized early warning rule and the general early warning rule, specifically, whether the personalized early warning rule is satisfied or not is preferably judged, namely, if the individualized early warning rule is set for the currently ongoing process node, whether the individualized early warning rule is met is judged, otherwise, whether the individualized early warning rule is met is directly judged, and the early warning message is sent according to the judgment result, so that the diversified early warning requirements are met, and meanwhile, accurate early warning monitoring is realized for each process node under different early warning configuration schemes.
Further, the acquiring process nodes in the sample inspection project and setting the personalized early warning rule and/or the general early warning rule of each process node includes:
acquiring flow node and general service flow information in a sample inspection project, and receiving an individualized flow setting instruction;
setting an individualized early warning rule of a corresponding process node according to the individualized process setting instruction;
and setting a universal early warning rule of the rest or all process nodes according to the universal business process information.
Specifically, different inspection organizations can preset and store a piece of general business process information according to their own business characteristics, the general business process information is suitable for all sample inspection projects in the inspection organizations, that is, all the sample inspection projects need to meet the basic operation process, the operation standard, the time limit requirement and the like in the general business process information, and the operation normative of all the sample inspection projects is ensured; furthermore, aiming at the conditions of specific inspection projects or inspection environment changes and the like, an inspection worker can flexibly input a personalized flow setting instruction, the node configuration different from the general service flow is realized by receiving the personalized flow setting instruction, and the personalized flow setting instruction is suitable for part of sample inspection projects or specific environments.
In the embodiment, when setting the early warning rule of each process node, the individualized early warning rule of the corresponding process node is set according to the received individualized process setting instruction, the process node with specific early warning requirement can be ensured to accurately configure the corresponding individualized early warning rule, then the general early warning rules of the rest or all process nodes are set according to the preset general business process information, namely, the process nodes with the individualized early warning rules are selectively set or not set according to the actual situation, each process node is only provided with one early warning rule, the configuration resource can be saved, the repeated early warning and other situations can be avoided, the setting time can be saved when the sample inspection item is changed by setting the double early warning rules, namely, the change of the process nodes with the individualized early warning rules is not required to be considered when the general early warning rules are set, the condition that a certain process node fails to set the early warning rule can be ensured, the rapid and reliable early warning rule configuration is realized, and the early warning rule can be flexibly selected according to different inspection requirements, which is not limited by the invention.
Further, the setting of the personalized early warning rule of the corresponding process node according to the personalized process setting instruction includes:
acquiring personalized process nodes and personalized time node requirements according to the personalized process setting instruction;
and respectively setting a first preset completion time and a first early warning prompt time of each personalized process node according to the personalized time node requirements.
The setting of the general early warning rule of the remaining or all process nodes according to the general service process information comprises the following steps:
acquiring universal time node requirements of all process nodes according to the universal service process information;
and setting second preset completion time and second early warning prompt time of the process nodes except the personalized process nodes or all the process nodes according to the general time node requirement.
In this embodiment, when the personalized early warning rule and the general early warning rule are respectively set according to the personalized flow setting instruction and the general business flow information, specifically, personalized flow nodes and personalized time node requirements in the personalized flow setting instruction are obtained first, that is, specific personalized time node requirements are provided for some personalized flow nodes according to influence factors such as different project emphasis points, customer special needs or environmental changes, for example, 4 hours are expected to be required from a sampling node to the sampling node under a general condition, and the expected time from the sampling node to the sampling node needs to be adjusted to 2 hours under a condition that a sample is stored in a refrigerated state before being detected, at this time, the sampling node and the sampling node are personalized flow nodes, a time difference between the two nodes is the personalized time node requirement, and a first preset completion time of each personalized flow node are respectively set according to the personalized time node requirements And early warning prompt time is given, so that the node relation between the first preset completion time of each individual process node can meet the individual time node requirement, the sample inspection process can meet the corresponding node control requirement under specific requirements or environments, and the accuracy of the inspection result is ensured.
After the individualized process nodes complete the early warning rule setting, the universal time node requirements of all the process nodes in the universal business process information are acquired, namely, the general service process information contains general time node requirements suitable for all sample inspection projects, the general time node requirements represent basic time requirements to be complied with by each process node, the reliability of sample inspection results under most general scenes is ensured, for example 4 hours are expected from sampling node to sampling node under general conditions without special cases, all projects need to meet the basic requirement, and the time difference between the sampling node and the sampling node is the requirement of the universal time node, and similarly, and respectively setting second preset completion time and second early warning prompt time of the process nodes except the personalized process nodes or all the process nodes according to the general time node requirement. In the embodiment, the time duration of each process node under the personalized early warning rule or the general early warning rule is limited by setting the preset completion time of each process node, and the early warning message is timely output when the corresponding node does not meet the current time node requirement according to the first early warning prompt time or the second early warning prompt time, so that the diversified early warning configuration requirements can be met, the inspection reliability under special requirements can be improved, the node control requirement of the general service process can be met, and the flexibility and the compatibility are greatly improved.
Further, the determining whether the currently performed process node has set an individualized early warning rule and meets the individualized early warning rule specifically includes:
and judging whether the current process node is an individualized process node or not according to the individualized process setting instruction and meeting an individualized early warning rule.
In this embodiment, when performing early warning judgment on each process node, implementation of an individualized early warning rule needs to be preferentially guaranteed, so that whether the currently-performed process node is an individualized process node is efficiently and conveniently judged according to an individualized process setting instruction, if the currently-performed process node is the individualized process node, a specific individualized time node requirement needs to be met, and therefore whether the current process node meets the individualized early warning rule is further judged, accuracy and stability of a test result under a special requirement are guaranteed, and conversely, if the currently-performed process node is not the individualized process node, the current process node does not need to be judged according to the individualized early warning rule, and the current process node directly enters subsequent general early warning rule judgment, so that data processing resources are saved, and early warning efficiency is improved.
Further, the determining whether the currently performed process node is an individualized process node and meets an individualized early warning rule, if yes, sending an early warning message, otherwise, determining whether the currently performed process node meets a general early warning rule, includes:
judging whether the current process node is an individualized process node or not;
if so, judging whether the currently-performed process node is not completed and the distance between the current time and the first preset completion time is less than a first early warning prompt time, and sending an early warning message when the currently-performed process node is not completed and the distance between the current time and the first preset completion time is less than the first early warning prompt time;
if not, judging whether the currently-performed process node is not completed and the distance between the current time and the second preset completion time is less than the second early warning prompt time.
In this embodiment, when time node early warning is performed, implementation of an individualized early warning rule is preferentially guaranteed, when it is determined that a currently performed process node is an individualized process node, whether early warning is required or not is determined according to the completion degree of the process node and the distance between the current time and a first preset completion time corresponding to the process node, the specific completion degree can be distinguished according to whether completion information of the process node is received or not, an early warning message is sent when the first preset completion time is shorter than a first early warning prompt time and the completion information of the current process node is not received, an inspector is reminded that the current process node is about to overtime and affect an inspection result under a specific inspection condition, and the inspector is prompted to timely handle work of the process node.
And when the current process node is judged not to be the personalized process node, the general early warning rule judgment is carried out on the process node, whether the current process node is not finished or not is judged, the current time is less than the second early warning prompt time from the second preset finish time, similarly, an early warning message is sent when the distance from the second preset finish time to the second early warning prompt time is less than the second early warning prompt time and the finish information of the current process node is not received, and the purpose of timely reminding is achieved.
In specific implementation, the early warning judgment is preferably performed at intervals of preset time, that is, the judgment process is performed at intervals of half an hour, for example, the early warning judgment of the process node is performed at intervals of half an hour, the early warning message can be timely output when the currently performed process node meets the personalized early warning rule or the general early warning rule, the early warning times and the early warning interval time can be further set, for example, the early warning times can be set to 3, the early warning prompt is repeated at intervals of 10 minutes after the early warning message is output every time, the fact that the worker can timely and effectively receive the early warning message is ensured, and the quality of sample inspection is effectively improved.
Further, in order to meet the accuracy under the special inspection condition, the first early warning prompt time is longer than the second early warning prompt time, that is, under the special requirement or environment, when the early warning is performed on the personalized process node, the sending of the early warning message is earlier than that of other process nodes, for example, 4 hours is expected to be required from the sampling node to the sampling node under the general condition, and for the special condition that the sample is stored in a cold storage mode before being detected, the expected time from the sampling node to the sampling node is 2 hours, when the early warning is performed, under the cold storage condition, the early warning message is sent when the first preset completion time from the sampling node is less than 1 hour, and when the second preset completion time from the sampling node is less than 0.5 hour under the general condition, the accuracy of the special detection results and the reliability of clinical application are ensured.
Preferably, when the first preset completion time or the second preset completion time of the current process node is exceeded, an overtime message is further sent, which indicates that the test result under the current condition is likely to have deviation, the reliability of the test result needs to be further evaluated, and the process node which has sent the early warning message or the overtime message can be highlighted on a page of the laboratory information management system, so that a worker can find and process the early warning message in time, and the early warning effect is ensured.
Further, after the early warning message is sent when the currently performed process node meets the general early warning rule, the method further includes:
and if the process node corresponding to the sent early warning message is finished, automatically eliminating the corresponding early warning message.
In this embodiment, the sending of the warning message is generally performed by means of an email, a system message, and the like, and when the process node corresponding to the sent warning message is completed, for example, when the completion information of a certain process node which has sent the early warning message is received, the early warning message corresponding to the completed process node is automatically eliminated, thereby saving the time for manually processing the early warning message, avoiding the interference of excessive unread messages to the inspection work, improving the processing efficiency of the early warning message, adopting a specific elimination mode of directly deleting the early warning message corresponding to the finished process node, or when the early warning message is in an unread/unprocessed state, the state of the early warning message is automatically modified into a read/processed state, the processing mode through automatic elimination effectively reduces the manual intervention time, guarantees the early warning prompt effect and simultaneously lightens the burden of workers.
According to the method embodiment, the sample inspection node early warning method provided by the invention has the advantages that through a diversified configuration scheme, in the sample inspection node control process of a laboratory, the personalized early warning rules and the general early warning rules can be set according to different requirements, the adjustment requirements of different influence factors on the process nodes are met, the samples can be ensured to complete the inspection work timely and reliably under diversified inspection conditions, and the accuracy and the reliability of the inspection result are improved.
It should be noted that, a certain sequence does not necessarily exist between the above steps, and those skilled in the art can understand, according to the description of the embodiments of the present invention, that in different embodiments, the above steps may have different execution sequences, that is, may also be executed in parallel, may also be executed interchangeably, and the like.
Another embodiment of the present invention provides a sample inspection node early warning apparatus, as shown in fig. 2, the apparatus 1 includes:
the rule setting module 11 is configured to obtain process nodes in the sample inspection project and set an individualized early warning rule and/or a general early warning rule of each process node;
the first judging module 12 is configured to judge whether a currently-performed process node has set an individualized early warning rule and meets the individualized early warning rule;
the second judging module 13 is configured to judge whether a currently performed flow node meets a general early warning rule;
an early warning module 14, configured to send an early warning message when a currently ongoing process node satisfies an individualized early warning rule or a general early warning rule
The rule setting module 11 is connected to the first determining module 12 and the second determining module 13, and the first determining module 12 and the second determining module 13 are further connected to the early warning module 14, for a specific implementation, reference is made to the corresponding method embodiment, and details are not repeated here.
Another embodiment of the present invention provides a sample inspection node early warning system, as shown in fig. 3, the system 10 includes:
one or more processors 110 and a memory 120, where one processor 110 is illustrated in fig. 3, the processor 110 and the memory 120 may be connected by a bus or other means, and the connection by the bus is illustrated in fig. 3.
The memory 120 is a non-volatile computer-readable storage medium, and can be used to store non-volatile software programs, non-volatile computer-executable programs, and modules, such as program instructions corresponding to the sample verification node early warning method in the embodiment of the present invention. The processor 110 executes various functional applications and data processing of the system 10 by executing nonvolatile software programs, instructions and units stored in the memory 120, that is, implements the sample verification node early warning method in the above method embodiments.
The memory 120 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the system 10, and the like. Further, the memory 120 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, memory 120 optionally includes memory located remotely from processor 110, which may be connected to system 10 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
One or more units are stored in the memory 120, and when executed by the one or more processors 110, perform the sample check node early warning method in any of the method embodiments described above, e.g., performing the method steps S100-S300 in fig. 1 described above.
Embodiments of the present invention provide a non-transitory computer-readable storage medium storing computer-executable instructions for execution by one or more processors, for example, to perform method steps S100-S300 of fig. 1 described above.
By way of example, non-volatile storage media can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), electrically erasable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM), which acts as external cache memory. By way of illustration and not limitation, RAM is available in many forms such as Synchronous RAM (SRAM), dynamic RAM, (DRAM), Synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), Enhanced SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), and Direct Rambus RAM (DRRAM). The disclosed memory components or memory of the operating environment described herein are intended to comprise one or more of these and/or any other suitable types of memory.
Another embodiment of the present invention provides a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a processor, cause the processor to perform the sample test node warning method of the above method embodiment. For example, the method steps S100 to S300 in fig. 1 described above are performed.
In summary, in a sample inspection node early warning method, apparatus, system and medium disclosed by the present invention, the method includes: acquiring process nodes in a sample inspection project and setting an individualized early warning rule and/or a universal early warning rule of each process node; judging whether the currently-performed process node has set an individualized early warning rule and meets the individualized early warning rule, if so, sending an early warning message, and otherwise, judging whether the currently-performed process node meets a universal early warning rule; and sending the early warning message when the current flow node meets the general early warning rule. According to the embodiment of the invention, through a diversified configuration scheme, in the process of controlling the sample inspection nodes in the laboratory, the personalized early warning rules and the general early warning rules can be set according to different requirements, the adjustment requirements of different influencing factors on the process nodes are met, the samples can be ensured to complete inspection work timely and reliably under diversified inspection conditions, and the accuracy and the reliability of inspection results are improved.
The above-described embodiments are merely illustrative, and 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, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of the embodiment.
Through the above description of the embodiments, those skilled in the art will clearly understand that the embodiments may be implemented by software plus a general hardware platform, and may also be implemented by hardware. With this in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer electronic device (which may be a personal computer, a server, or a network electronic device, etc.) to execute the methods of the various embodiments or some parts of the embodiments.
Conditional language such as "can," "might," or "may" is generally intended to convey that a particular embodiment can include (yet other embodiments do not include) particular features, elements, and/or operations, among others, unless specifically stated otherwise or otherwise understood within the context as used. Thus, such conditional language is also generally intended to imply that features, elements, and/or operations are in any way required for one or more embodiments or that one or more embodiments must include logic for deciding, with or without input or prompting, whether such features, elements, and/or operations are included or are to be performed in any particular embodiment.
What has been described herein in the specification and drawings includes examples that can provide a sample inspection node warning method, apparatus, system, and medium. It will, of course, not be possible to describe every conceivable combination of components and/or methodologies for purposes of describing the various features of the disclosure, but it can be appreciated that many further combinations and permutations of the disclosed features are possible. It is therefore evident that various modifications can be made to the disclosure without departing from the scope or spirit thereof. In addition, or in the alternative, other embodiments of the disclosure may be apparent from consideration of the specification and drawings and from practice of the disclosure as presented herein. It is intended that the examples set forth in this specification and the drawings be considered in all respects as illustrative and not restrictive. Although specific terms are employed herein, they are used in a generic and descriptive sense only and not for purposes of limitation.
Claims (10)
1. A sample inspection node early warning method is characterized by comprising the following steps:
acquiring process nodes in a sample inspection project and setting an individualized early warning rule and/or a universal early warning rule of each process node;
judging whether the currently-performed process node has set an individualized early warning rule and meets the individualized early warning rule, if so, sending an early warning message, and otherwise, judging whether the currently-performed process node meets a universal early warning rule;
and sending the early warning message when the current flow node meets the general early warning rule.
2. The method for early warning sample inspection nodes according to claim 1, wherein the obtaining process nodes in a sample inspection project and setting individualized early warning rules and/or general early warning rules of each process node comprises:
acquiring flow node and general service flow information in a sample inspection project, and receiving an individualized flow setting instruction;
setting an individualized early warning rule of a corresponding process node according to the individualized process setting instruction;
and setting a universal early warning rule of the rest or all process nodes according to the universal business process information.
3. The method for early warning sample inspection nodes according to claim 2, wherein the setting of the personalized early warning rules of the corresponding process nodes according to the personalized process setting instructions comprises:
acquiring personalized process nodes and personalized time node requirements according to the personalized process setting instruction;
and respectively setting a first preset completion time and a first early warning prompt time of each personalized process node according to the personalized time node requirements.
4. The method of claim 3, wherein the setting of the general early warning rules for the remaining or all process nodes according to the general business process information comprises:
acquiring universal time node requirements of all process nodes according to the universal service process information;
and setting second preset completion time and second early warning prompt time of the process nodes except the personalized process nodes or all the process nodes according to the general time node requirement.
5. The sample inspection node early warning method according to claim 3, wherein the determining whether the currently performed process node has set an individualized early warning rule and satisfies the individualized early warning rule specifically comprises:
and judging whether the current process node is an individualized process node or not according to the individualized process setting instruction and meeting an individualized early warning rule.
6. The sample inspection node early warning method of claim 4, wherein the determining whether the currently running process node is a personalized process node and satisfies a personalized early warning rule, if so, sending an early warning message, otherwise, determining whether the currently running process node satisfies a general early warning rule, comprises:
judging whether the current process node is an individualized process node or not;
if so, judging whether the currently-performed process node is not completed and the distance between the current time and the first preset completion time is less than a first early warning prompt time, and sending an early warning message when the currently-performed process node is not completed and the distance between the current time and the first preset completion time is less than the first early warning prompt time;
if not, judging whether the currently-performed process node is not completed and the distance between the current time and the second preset completion time is less than the second early warning prompt time.
7. The method of claim 1, wherein after sending the warning message when the currently running process node satisfies the general warning rule, the method further comprises:
and if the process node corresponding to the sent early warning message is finished, automatically eliminating the corresponding early warning message.
8. A sample testing node early warning apparatus, the apparatus comprising:
the rule setting module is used for acquiring process nodes in the sample inspection project and setting an individualized early warning rule and/or a universal early warning rule of each process node;
the first judgment module is used for judging whether the currently-performed process node is provided with the personalized early warning rule and meets the personalized early warning rule;
the second judgment module is used for judging whether the currently-performed process node meets the general early warning rule or not;
and the early warning module is used for sending early warning information when the current process node meets the personalized early warning rule or the general early warning rule.
9. A sample testing node early warning system, comprising at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the sample test node warning method of any one of claims 1-7.
10. A non-transitory computer-readable storage medium storing computer-executable instructions that, when executed by one or more processors, cause the one or more processors to perform the sample inspection node warning method of any one of claims 1-7.
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