Method, device and electronic equipment for detecting variations in a clinical pathway

Abstract

The application provides a clinical path variation detection method and device and electronic equipment, and relates to the technical field of medical services, which alleviates the technical problem of low detection accuracy of clinical path variation in the prior art. The method comprises the following steps: obtaining a historical medical order sample; based on the historical medical order sample, an execution rule library corresponding to the historical medical order sample is established; obtaining to-be-detected medical order data; whether the to-be-detected medical order data has a clinical path variation is detected through the execution rule library, and a detection result is obtained.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of medical services, and in particular to a clinical pathway variation detection method and device and electronic equipment. BACKGROUND

[0002] A clinical pathway is a programmed and standardized diagnosis and treatment plan with strict work sequence and standard time requirements, so as to standardize medical service behavior, reduce resource waste, and enable patients to obtain appropriate medical care services. A clinical pathway variation is a variation from the clinical pathway plan.

[0003] Currently, the judgment of clinical pathway diagnosis and treatment process variation is mainly to compare the actual medical order issued by the doctor with the medical order in the standard clinical pathway file. If the medical order is not within the scope of the pathway, it is judged as a variation. However, this judgment method has low accuracy and is prone to misjudgment.

[0004] There is no effective solution to the technical problem of low accuracy in detecting clinical pathway variations in the prior art. SUMMARY

[0005] The present application aims to provide a clinical pathway variation detection method and device and electronic equipment to alleviate the technical problem of low accuracy in detecting clinical pathway variations in the prior art.

[0006] In a first aspect, the present application provides a clinical pathway variation detection method, which comprises:

[0007] Obtaining a historical medical order sample;

[0008] Based on the historical medical order sample, an execution rule library corresponding to the historical medical order sample is established;

[0009] Obtaining to-be-detected medical order data;

[0010] Detecting whether the to-be-detected medical order data has a clinical pathway variation through the execution rule library to obtain a detection result.

[0011] In one possible implementation, the establishment of the execution rule library corresponding to the historical medical order sample based on the historical medical order sample comprises:

[0012] The historical medical order sample is screened to determine the clinical pathway internal optional medical order sample and the clinical pathway external medical order sample in the historical medical order sample;

[0013] Based on the clinical pathway internal optional medical order sample and the clinical pathway external medical order sample, a corresponding execution rule library is established.

[0014] In a possible implementation, the screening of the historical medical order samples, the determination of the intra-clinical-pathway optional medical order samples and the extra-clinical-pathway medical order samples in the historical medical order samples comprises the following steps.

[0015] The intra-clinical-pathway optional medical order samples and the extra-clinical-pathway medical order samples are determined from the historical medical order samples based on a standardized form of a preset clinical pathway.

[0016] In a possible implementation, the establishment of the corresponding execution rule library based on the intra-clinical-pathway optional medical order samples and the extra-clinical-pathway medical order samples comprises the following steps.

[0017] The establishment of the execution rule library is performed for each medical order in the intra-clinical-pathway optional medical order samples, to obtain a plurality of optional medical order execution rules.

[0018] The establishment of the execution rule library is performed for each medical order in the extra-clinical-pathway medical order samples, to obtain a plurality of extra-clinical-pathway medical order execution rules.

[0019] In a possible implementation, the detection of whether the to-be-detected medical order data has a clinical pathway variation by using the execution rule library, to obtain a detection result comprises the following steps.

[0020] A first judgment is performed on whether the to-be-detected medical order data belongs to the intra-clinical-pathway optional medical order samples or the extra-clinical-pathway medical order samples.

[0021] If the first judgment result is no, it is determined that the to-be-detected medical order data has no clinical pathway variation.

[0022] In a possible implementation, after the first judgment on whether the to-be-detected medical order data belongs to the intra-clinical-pathway optional medical order samples or the extra-clinical-pathway medical order samples, the method further comprises the following steps.

[0023] If the first judgment result is yes, a second judgment is performed on whether the to-be-detected medical order data conforms to the optional medical order execution rule or the extra-clinical-pathway medical order execution rule.

[0024] If the second judgment result is yes, it is determined that the to-be-detected medical order data has no clinical pathway variation.

[0025] If the second judgment result is no, it is determined that the to-be-detected medical order data has a clinical pathway variation.

[0026] In a possible implementation, the screening of the historical medical order samples, the determination of the intra-clinical-pathway optional medical order samples and the extra-clinical-pathway medical order samples in the historical medical order samples comprises the following steps.

[0027] The first acquisition module is configured to acquire historical medical order samples.

[0028] The establishing module is configured to establish an execution rule library corresponding to the historical medical order sample based on the historical medical order sample;

[0029] The second obtaining module is configured to obtain to-be-detected medical order data;

[0030] The detecting module is configured to detect, through the execution rule library, whether a clinical pathway variation occurs in the to-be-detected medical order data, to obtain a detection result.

[0031] In a third aspect, an electronic device is provided, which includes a memory and a processor. The memory stores a computer program that can run on the processor. When the processor executes the computer program, the steps of the method in the first aspect are implemented.

[0032] In a fourth aspect, a computer readable storage medium is provided, which stores computer executable instructions. When the computer executable instructions are invoked and run by a processor, the computer executable instructions cause the processor to run the steps of the method in the first aspect.

[0033] The embodiments of the present application have the following beneficial effects:

[0034] The embodiments of the present application provide a clinical pathway variation detection method and device and an electronic device. First, historical medical order samples are obtained. Then, based on the historical medical order samples, an execution rule library corresponding to the historical medical order samples is established. Then, to-be-detected medical order data is obtained. Through the execution rule library, whether a clinical pathway variation occurs in the to-be-detected medical order data is detected, to obtain a detection result. The present solution sets specific execution rules for optional medical orders in a clinical pathway and medical orders outside the clinical pathway. On this basis, whether a doctor's medical order behavior for a patient conforms to the requirements of the clinical pathway is analyzed, so as to judge the variation of the clinical pathway, accurately judge the variation of the medical order in the clinical pathway, reduce the misjudgment of the clinical pathway, and alleviate the technical problem of low detection accuracy of the variation of the clinical pathway in the prior art. BRIEF DESCRIPTION OF DRAWINGS

[0035] In order to more clearly illustrate the specific embodiments of the present application or the technical solutions in the prior art, the following will briefly introduce the drawings needed to be used in the specific embodiments or the prior art description. Obviously, the drawings in the following description are some embodiments of the present application, and those skilled in the art can also obtain other drawings according to these drawings without creative labor.

[0036] Figure 1 A flowchart of a clinical pathway variation detection method provided by the embodiments of the present application is shown in the figure;

[0037] Figure 2 A construction flow diagram of a rule base is provided for an embodiment of the present application;

[0038] Figure 3 A structure diagram of a variation detection device of a clinical pathway is provided for an embodiment of the present application;

[0039] Figure 4 A structure diagram of an electronic device is provided for an embodiment of the present application. DETAILED DESCRIPTION

[0040] To make the objectives, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions of the present application will be described below in detail with reference to the drawings. Obviously, the described embodiments are some but not all of the embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of the present application.

[0041] The terms "comprising" and "having" and any variations thereof mentioned in the embodiments of the present application are intended to cover the inclusion not the exclusion of one or more elements. For example, a process, method, system, product or apparatus that comprises a list of steps or units is not limited to the listed steps or units but can optionally further include other steps or units not listed or other steps or units inherent to such process, method, product or apparatus.

[0042] There are two problems in the current clinical pathway variation judgment method. One is that there are two kinds of medical orders in the standard clinical pathway, mandatory medical orders and optional medical orders. The mandatory medical order refers to the medical order that the doctor must issue in this diagnosis and treatment stage. The optional medical order refers to the medical order that the doctor judges whether to issue according to the actual condition of the patient. Therefore, for the optional medical order, not all patients need to execute, only part of the patients who meet certain conditions need to execute, so simply comparing the actual medical order issued by the doctor with the medical order maintained in the clinical pathway cannot analyze the variation of the optional medical order. The second is that when the patient has some special conditions, including complications, part of the medical orders not in the standard clinical pathway are the treatment requirements meeting these special conditions, which should not be regarded as a variation in this case, but the existing technology uniformly regards it as a variation in the judgment method of the clinical pathway variation. Therefore, the existing clinical pathway variation analysis method cannot accurately judge the variation, which hinders the application and promotion of the clinical pathway.

[0043] Based on this, the embodiments of the present application provide a clinical pathway variation detection method and device and an electronic device. Through the method, the technical problem of low detection accuracy of clinical pathway variation can be alleviated.

[0044] The embodiments of the present application are further described below with reference to the accompanying drawings.

[0045] Figure 1 A flowchart of a clinical pathway variation detection method provided by the embodiments of the present application is shown in FIG. 1. As shown in FIG. 1, the method comprises the following steps. Figure 1

[0046] In step S110, historical medical order samples are obtained.

[0047] For example, the system can obtain historical medical order samples of the hospital in any year in the past through external import or cloud acquisition. The historical medical order samples can include all or part of the optional medical order samples in the clinical pathway, the mandatory medical order samples in the clinical pathway, and the medical order samples outside the clinical pathway in any time period in the past. For example, only the optional medical order samples in the clinical pathway, the mandatory medical order samples in the clinical pathway, and the medical order samples outside the clinical pathway for diabetes in the past three years are included; or all the optional medical order samples in the clinical pathway, the mandatory medical order samples in the clinical pathway, and the medical order samples outside the clinical pathway prescribed by the hospital in the past year are included.

[0048] In step S120, an execution rule library corresponding to the historical medical order samples is established based on the historical medical order samples.

[0049] For example, as shown in FIG. 2, the system can filter out the clinical pathway optional medical order list (sample) and the medical order list outside the clinical pathway based on the preset clinical pathway form, and establish the corresponding medical order execution rule library based on the clinical pathway optional medical order list and the medical order list outside the clinical pathway. Figure 2

[0050] In step S130, the medical order data to be detected is obtained.

[0051] For example, when a doctor prescribes a clinical medical order, the system can obtain the clinical medical order as the medical order data to be detected.

[0052] In step S140, whether the medical order data to be detected has clinical pathway variation is detected by the execution rule library, and a detection result is obtained.

[0053] For example, the system can determine whether the clinical medical order prescribed by the doctor is an optional medical order or a medical order outside the clinical pathway according to the clinical pathway optional medical order list and the medical order list outside the clinical pathway. When the medical order is an optional medical order or a medical order outside the clinical pathway, the rationality of the medical order is analyzed based on the medical order execution rule library. When the medical order meets the conditions of the medical order execution rule library, it is not determined as a clinical pathway variation, otherwise it is a clinical pathway variation.

[0054] ​​This application embodiment sets specific execution rules for optional medical orders within and outside the clinical pathway. Based on this, it analyzes whether the doctor's medical order behavior towards the patient conforms to the requirements of the clinical pathway, thereby judging the variation of the clinical pathway, accurately judging the variation of medical orders within the clinical pathway, reducing misjudgment of the clinical pathway, and alleviating the technical problem of low detection accuracy of variation of clinical pathway in the prior art.

[0055] The steps described above will be explained in detail below.

[0056] In some embodiments, step S120 may specifically include the following steps:

[0057] Step a) Screen the historical medical order samples to determine the optional medical order samples within the clinical pathway and the medical order samples outside the clinical pathway.

[0058] Step b) Establish a corresponding execution rule base based on the optional medical order samples within the clinical pathway and the medical order samples outside the clinical pathway.

[0059] For example, such as Figure 2 As shown, the system first filters historical medical order samples based on standardized clinical pathway forms to identify optional medical orders within and outside the clinical pathway. Based on these samples, a corresponding execution rule base is established. Taking the chronic obstructive pulmonary disease (COPD) clinical pathway as an example, for optional medical orders within the pathway, an execution rule base is established. For instance, for the optional medical order "lower extremity venous ultrasound," the execution rule is established as "D-dimer test positive" or "age ≥ 60 years" to determine whether the patient needs a "lower extremity venous ultrasound" examination. For medical orders outside the pathway, such as the diabetes medication metformin, the execution rule is established as "patient has diabetes complications."

[0060] Based on steps a) and b) above, step a) may specifically include the following steps:

[0061] Step c) Based on the standardized forms of the preset clinical pathway, determine the optional medical order samples within the clinical pathway and the medical order samples outside the clinical pathway from the historical medical order samples.

[0062] Exemplarily, the standardization form of the preset clinical pathway includes the optional medical order sample within the clinical pathway and the compulsory medical order sample within the clinical pathway. First, the system screens the medical order sample corresponding to the preset clinical pathway from the historical medical order sample according to the standardization form of the preset clinical pathway; then, the medical order sample corresponding to the preset clinical pathway is screened from the historical medical order sample according to the optional medical order sample within the clinical pathway and the compulsory medical order sample within the clinical pathway in the standardization form of the preset clinical pathway, and the medical order sample corresponding to the preset clinical pathway in the historical medical order sample is determined through secondary screening, that is, the optional medical order sample within the clinical pathway and the compulsory medical order sample within the clinical pathway corresponding to the preset clinical pathway in the historical medical order sample are determined; finally, the medical order sample corresponding to the preset clinical pathway screened from the historical medical order sample is removed from the optional medical order sample within the clinical pathway and the compulsory medical order sample within the clinical pathway corresponding to the preset clinical pathway in the historical medical order sample, that is, the medical order sample outside the clinical pathway. The optional medical order sample and the medical order sample outside the clinical pathway of each different clinical pathway are clearly and accurately obtained through the above two methods. Based on the above steps a) and b), the above step b) can specifically include the following steps:

[0063] Step d), the establishment of the execution rule library is performed for each medical order in the optional medical order sample within the clinical pathway, and a plurality of optional medical order execution rules are obtained.

[0064] Step e), the establishment of the execution rule library is performed for each medical order in the medical order sample outside the clinical pathway, and a plurality of medical order execution rules outside the clinical pathway are obtained.

[0065] Based on the optional medical order sample and the medical order sample outside the clinical pathway screened in the above step, the execution rule library of each medical order is established, and it is clear that the issuance of the medical order under which condition is reasonable, so that the detection result is more accurate.

[0066] Based on the above steps a) and b), the above step S140 can specifically include the following steps:

[0067] Step f), a first judgment is made on whether the to-be-detected medical order data belongs to the optional medical order sample within the clinical pathway or the medical order sample outside the clinical pathway.

[0068] Step g), if the first judgment result is no, it is determined that the to-be-detected medical order data has no clinical pathway variation.

[0069] For example, for the mandatory order in the path, it means that every patient entering the clinical pathway should execute this order. At this time, the variation of the clinical pathway can be judged by simply matching the actual order with the standard order. For the optional order in the path, it means that part of the patients need to execute such order, and the other part of the patients actually do not need to execute. Therefore, the execution rule is set to judge whether the patient needs to execute such order, so as to divide the patients into two groups, one group is the group of patients who need to execute the optional order, and the other group is the group of patients who do not need to execute the optional order. The actual order execution of the patient is matched and analyzed with the population division. When the patient is the group of patients who need to execute the order, but actually does not execute the order, it is judged that the clinical pathway varies; when the patient is the group of patients who do not need to execute the order, but actually executes the order, it is judged that the clinical pathway varies.

[0070] Based on the above steps f) and g), after step f), the method can further comprise the following steps:

[0071] Step h), if the first judgment result is yes, a second judgment is made on whether the to-be-detected order data meets the optional order execution rule or the out-of-path order execution rule.

[0072] Step i), if the second judgment result is yes, it is determined that the to-be-detected order data does not vary in the clinical pathway.

[0073] Step j), if the second judgment result is no, it is determined that the to-be-detected order data varies in the clinical pathway.

[0074] For example, taking the chronic obstructive pulmonary disease clinical pathway as an example, for the optional order in the clinical pathway, an optional order execution rule library is established, for example, the optional order “lower extremity venous ultrasound”, and the execution rule is established as “D-dimer test positive” or “age ≥ 60 years old”, to judge whether the patient needs to perform the “lower extremity venous ultrasound” examination. Based on the above rules, when the patient does not meet the conditions of “D-dimer test positive” or “age ≥ 60 years old”, the order behavior at this time is judged as a clinical pathway variation. For the out-of-path order, for example, the diabetes drug metformin, the execution rule is established as “patient has diabetes comorbidity”. When the doctor prescribes “metformin” for the patient entering the chronic obstructive pulmonary disease clinical pathway, if the patient's admission diagnosis contains “diabetes”, it is not judged as a clinical pathway variation.

[0075] Figure 3A structural schematic diagram of a clinical pathway variation detection device provided by an embodiment of the present application is shown in FIG. 3. As shown in FIG. 3, the clinical pathway variation detection device 300 includes: Figure 3

[0076] A first obtaining module 301 is configured to obtain historical order samples.

[0077] A establishing module 302 is configured to establish an execution rule library corresponding to the historical order samples based on the historical order samples.

[0078] A second obtaining module 303 is configured to obtain to-be-detected order data.

[0079] A detection module 304 is configured to detect whether the to-be-detected order data has a clinical pathway variation by using the execution rule library, and obtain a detection result.

[0080] In some embodiments, the establishing module 302 is specifically configured to:

[0081] screen the historical order samples to determine intra-pathway optional order samples and extra-pathway order samples in the historical order samples;

[0082] establish the corresponding execution rule library based on the intra-pathway optional order samples and the extra-pathway order samples.

[0083] In some embodiments, the establishing module 302 is specifically configured to:

[0084] determine the intra-pathway optional order samples and the extra-pathway order samples from the historical order samples based on a standardized form of a preset clinical pathway.

[0085] In some embodiments, the establishing module 302 is specifically configured to:

[0086] establish the execution rule library for each order in the intra-pathway optional order samples to obtain a plurality of optional order execution rules;

[0087] establish the execution rule library for each order in the extra-pathway order samples to obtain a plurality of extra-pathway order execution rules.

[0088] In some embodiments, the detection module 304 is specifically configured to:

[0089] perform a first judgment on whether the to-be-detected order data belongs to the intra-pathway optional order samples or the extra-pathway order samples;

[0090] if the first judgment result is no, it is determined that the to-be-detected order data has no clinical pathway variation.

[0091] In some embodiments, the device can further include: ​

[0092] The determining module is configured to, after the first determination of whether the to-be-detected medical order data belongs to the optional medical order sample within the clinical pathway or the medical order sample outside the clinical pathway, if the first determination result is yes, make a second determination of whether the to-be-detected medical order data meets the optional medical order execution rule or the medical order execution rule outside the clinical pathway.

[0093] If the second determination result is yes, it is determined that the to-be-detected medical order data does not have clinical pathway variation.

[0094] If the second determination result is no, it is determined that the to-be-detected medical order data has clinical pathway variation.

[0095] The apparatus provided by the embodiment of the present application has the same implementation principle and technical effects as the foregoing method embodiments, and for brevity of description, the part not mentioned in the system embodiment can be referred to the corresponding content in the foregoing method embodiments.

[0096] The embodiment of the present application provides an electronic device, specifically, the electronic device includes a processor and a storage device; the storage device stores a computer program, and the computer program performs the method of any one of the above embodiments when being run by the processor.

[0097] Figure 4 A structural schematic diagram of an electronic device provided by the embodiment of the present application is provided, and the electronic device includes a processor 401, a memory 402, a bus 403 and a communication interface 404, the processor 401, the communication interface 404 and the memory 402 are connected through the bus 403; the processor 401 is used for executing an executable module stored in the memory 402, for example, a computer program.

[0098] The memory 402 can include a high-speed random access memory (RAM) and can also include a non-volatile memory, for example, at least one disk memory. The communication between the system network element and at least one other network element is realized through at least one communication interface 404 (which can be wired or wireless), and the Internet, a wide area network, a local area network, a metropolitan area network, etc. can be used.

[0099] The bus 403 can be an ISA bus, a PCI bus or an EISA bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For the convenience of representation, Figure 4 only one bidirectional arrow is used to represent one bus or one type of bus.

[0100] The memory 402 is configured to store a program, and the processor 401 is configured to execute the program after receiving an execution instruction. The method executed by the device for defining a flow process according to any of the foregoing embodiments of the application can be applied to the processor 401 or implemented by the processor 401.

[0101] The processor 401 can be an integrated circuit chip having a processing capability of signals. In the implementation process, each step of the foregoing method can be completed by an integrated logic circuit of hardware in the processor 401 or an instruction in the form of software. The foregoing processor 401 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), and the like; and can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. Each method, step and logic block diagram disclosed in the embodiments of the application can be implemented or executed. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor. The steps of the method disclosed in combination with the embodiments of the application can be directly embodied as a hardware code processor for execution, or a combination of hardware and software modules in the code processor for execution. The software module can be located in a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, and the like storage media mature in the art. The storage medium is located in the memory 402, and the processor 401 reads the information in the memory 402, and combines the hardware to complete the steps of the foregoing method.

[0102] The computer program product of the readable storage medium provided by the embodiments of the application includes a computer readable storage medium storing a program code, and the instructions included in the program code can be used to execute the method in the foregoing method embodiments. For specific implementation, reference can be made to the foregoing method embodiments, which will not be described here.

[0103] If the functions are implemented in the form of software function units and sold or used as independent products, they can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application or the part of the prior art that essentially contributes to the present application or the part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0104] Finally, it should be noted that: the above embodiments are only specific embodiments of the present application, which are used to illustrate the technical solutions of the present application, but not to limit them. The protection scope of the present application is not limited to this. Although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can modify or easily think of changes to the technical solutions recorded in the foregoing embodiments within the technical range disclosed by the present application, or replace some technical features with equivalent ones. The modification, change or replacement does not make the corresponding technical solution deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for detecting variations in a clinical pathway, characterized in that, The method comprises: acquiring historical order samples; the historical order samples comprise all or part of optional order samples in a clinical pathway, mandatory order samples in a clinical pathway and order samples outside a clinical pathway in any time period in the past of a hospital; based on the historical order samples, establishing an execution rule library corresponding to the historical order samples; wherein the execution rule library comprises optional order execution rules and order outside a clinical pathway execution rules; acquiring to-be-detected order data; performing first judgment on whether the to-be-detected order data belongs to the optional order samples in the clinical pathway or the order samples outside the clinical pathway; if the first judgment result is no, it is determined that the to-be-detected order data does not have clinical pathway variation; if the first judgment result is yes, performing second judgment on whether the to-be-detected order data conforms to the optional order execution rules or the order outside a clinical pathway execution rules; if the second judgment result is yes, it is determined that the to-be-detected order data does not have clinical pathway variation; if the second judgment result is no, it is determined that the to-be-detected order data has clinical pathway variation.

2. The method of claim 1, wherein, The method comprises: screening the historical order samples to determine the optional order samples in the clinical pathway and the order samples outside the clinical pathway in the historical order samples; based on the optional order samples in the clinical pathway and the order samples outside the clinical pathway, establishing a corresponding execution rule library.

3. The method of claim 2, wherein, The method comprises: based on a standardized form of a preset clinical pathway, determining the optional order samples in the clinical pathway and the order samples outside the clinical pathway from the historical order samples.

4. The method of claim 2, wherein, The method comprises: for each order in the optional order samples in the clinical pathway, establishing an execution rule library to obtain a plurality of optional order execution rules; for each order in the order samples outside the clinical pathway, establishing an execution rule library to obtain a plurality of order outside a clinical pathway execution rules.

5. A device for detecting a variation in a clinical pathway, characterized by, The device comprises: a first acquisition module configured to acquire historical order samples; the historical order samples comprise all or part of optional order samples in a clinical pathway, mandatory order samples in a clinical pathway and order samples outside a clinical pathway in any time period in the past of a hospital; an establishment module configured to, based on the historical order samples, establish an execution rule library corresponding to the historical order samples; wherein the execution rule library comprises optional order execution rules and order outside a clinical pathway execution rules; a second acquisition module configured to acquire to-be-detected order data; a detection module configured to perform first judgment on whether the to-be-detected order data belongs to the optional order samples in the clinical pathway or the order samples outside the clinical pathway; if the first judgment result is no, it is determined that the to-be-detected order data does not have clinical pathway variation; If the first determination result is yes, a second determination is made as to whether the to-be-detected medical order data conforms to the optional medical order execution rule or the off-path medical order execution rule; if the second determination result is yes, it is determined that the to-be-detected medical order data has no clinical pathway variation; if the second determination result is no, it is determined that the to-be-detected medical order data has clinical pathway variation.

6. An electronic device comprising a memory, a processor, the memory having stored therein a computer program executable on the processor, characterized in that, The processor implements the steps of the method of any one of claims 1 to 4 when executing the computer program.

7. A computer readable storage medium characterized in that, The computer readable storage medium stores computer executable instructions, and when the computer executable instructions are called and executed by the processor, the computer executable instructions cause the processor to execute the method of any one of claims 1 to 4.

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