CN117198557A - Resource data processing method, device, computer equipment and storage medium - Google Patents
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Abstract
The present application relates to a resource data processing method, apparatus, computer device, storage medium and computer program product. The method comprises the following steps: acquiring initial resources corresponding to a target node, wherein the initial resources are generated by serving a target object according to an initial clinical path; comparing the initial resources with corresponding preset standard resources, wherein the preset standard resources are determined according to standard clinical paths and personal total resources; if the initial resources do not meet the preset standard resources, carrying out resource analysis on the initial clinical paths corresponding to the initial resources to obtain resource analysis results, wherein the resource analysis results represent the relationship among the initial clinical paths, the initial resources and the corresponding expected service results; and optimizing the initial clinical path according to the resource analysis result to obtain a target clinical path. The method can improve the utilization efficiency of resources.
Description
Technical Field
The present application relates to the field of information processing technology, and in particular, to a resource data processing method, apparatus, computer device, storage medium, and computer program product.
Background
The Clinical path (Clinical path) is a method for establishing a set of standardized treatment mode and treatment program for a certain disease, is a comprehensive mode related to Clinical treatment, and takes evidence-based medical evidence and guidelines as guidance to promote treatment organization and disease management, and finally plays roles of standardizing medical behaviors, reducing variation, reducing cost and improving quality. Currently, many medical institutions employ clinical path management systems to optimize healthcare procedures and improve patient care quality, which can help medical teams define and execute standardized clinical paths, monitor patient progress in corresponding paths, and acquire corresponding medical data. In addition, the clinical path management system can also control and manage the resources of the patient in the treatment process so as to meet the requirements of special resources and prevent the conditions of unreasonable use such as hyperbranched resources or excessive balance. Traditional resource handling may result in poor resource utilization.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a resource data processing method, apparatus, computer device, computer-readable storage medium, and computer program product that can improve resource utilization.
In a first aspect, the present application provides a method for processing resource data. The method comprises the following steps:
acquiring initial resources corresponding to a target node, wherein the initial resources are generated by serving a target object according to an initial clinical path;
comparing the initial resources with corresponding preset standard resources, wherein the preset standard resources are determined according to standard clinical paths and personal total resources;
if the initial resources do not meet the preset standard resources, carrying out resource analysis on the initial clinical paths corresponding to the initial resources to obtain resource analysis results, wherein the resource analysis results represent the relationship among the initial clinical paths, the initial resources and the corresponding expected service results;
and optimizing the initial clinical path according to the resource analysis result to obtain a target clinical path.
In one embodiment, the target node comprises a target period, a target phase, or a target item.
In one embodiment, if the initial resource does not meet a preset standard resource, performing resource analysis on an initial clinical path corresponding to the initial resource to obtain a resource analysis result, including:
if the initial resources exceed the preset standard resources, carrying out resource analysis on each sub-path in the initial clinical path corresponding to the initial resources to obtain a resource analysis result of each sub-path;
and taking the sub-path resource analysis results as the resource analysis results.
In one embodiment, the optimizing the initial clinical path according to the resource analysis result to obtain a target clinical path includes:
determining a standby path corresponding to each sub-path according to the analysis result of each sub-path resource; the first resource required by the standby path is lower than the second resource required by the corresponding sub path;
and replacing the corresponding sub-path by using the standby path to obtain the target clinical path.
In one embodiment, the determining, according to the analysis result of each sub-path resource, the backup path corresponding to the sub-path includes:
acquiring disease stability data of the target object;
and determining a standby path corresponding to each sub-path according to the analysis result of each sub-path and the disease stability data.
In one embodiment, determining the preset standard resources from the standard clinical path and the personal total resources includes:
acquiring each standard service item in a standard clinical path;
according to the condition of the target object, distributing the personal total resources to each standard service item to obtain a sub-resource limit value corresponding to each standard service item;
and determining the preset standard resource according to the sub-resource limit value.
In a second aspect, the application further provides a resource data processing device. The device comprises:
the data acquisition module is used for acquiring initial resources corresponding to the target node, wherein the initial resources are generated by serving the target object according to an initial clinical path;
the resource comparison module is used for comparing the initial resource with a corresponding preset standard resource, wherein the preset standard resource is determined according to a standard clinical path and a personal total resource;
the resource analysis module is used for carrying out resource analysis on the initial clinical path corresponding to the initial resource if the initial resource does not meet the preset standard resource, so as to obtain a resource analysis result, wherein the resource analysis result represents the relation among the initial clinical path, the initial resource and the corresponding expected service effect;
and the path optimization module is used for optimizing the initial clinical path according to the resource analysis result to obtain a target clinical path.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor which when executing the computer program performs the steps of:
acquiring initial resources corresponding to a target node, wherein the initial resources are generated by serving a target object according to an initial clinical path;
comparing the initial resources with corresponding preset standard resources, wherein the preset standard resources are determined according to standard clinical paths and personal total resources;
if the initial resources do not meet the preset standard resources, carrying out resource analysis on the initial clinical paths corresponding to the initial resources to obtain resource analysis results, wherein the resource analysis results represent the relationship among the initial clinical paths, the initial resources and the corresponding expected service results;
and optimizing the initial clinical path according to the resource analysis result to obtain a target clinical path.
In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
acquiring initial resources corresponding to a target node, wherein the initial resources are generated by serving a target object according to an initial clinical path;
comparing the initial resources with corresponding preset standard resources, wherein the preset standard resources are determined according to standard clinical paths and personal total resources;
if the initial resources do not meet the preset standard resources, carrying out resource analysis on the initial clinical paths corresponding to the initial resources to obtain resource analysis results, wherein the resource analysis results represent the relationship among the initial clinical paths, the initial resources and the corresponding expected service results;
and optimizing the initial clinical path according to the resource analysis result to obtain a target clinical path.
In a fifth aspect, the present application also provides a computer program product. The computer program product comprises a computer program which, when executed by a processor, implements the steps of:
acquiring initial resources corresponding to a target node, wherein the initial resources are generated by serving a target object according to an initial clinical path;
comparing the initial resources with corresponding preset standard resources, wherein the preset standard resources are determined according to standard clinical paths and personal total resources;
if the initial resources do not meet the preset standard resources, carrying out resource analysis on the initial clinical paths corresponding to the initial resources to obtain resource analysis results, wherein the resource analysis results represent the relationship among the initial clinical paths, the initial resources and the corresponding expected service results;
and optimizing the initial clinical path according to the resource analysis result to obtain a target clinical path.
The resource data processing method, the device, the computer equipment, the storage medium and the computer program product are characterized in that the initial resources corresponding to the target nodes are obtained, and the initial resources are generated according to the initial clinical path serving the target objects; comparing the initial resources with corresponding preset standard resources, wherein the preset standard resources are determined according to standard clinical paths and personal total resources; if the initial resources do not meet the preset standard resources, carrying out resource analysis on the initial clinical paths corresponding to the initial resources to obtain resource analysis results, wherein the resource analysis results represent the relationship among the initial clinical paths, the initial resources and the corresponding expected service results; the initial clinical path is optimized according to the resource analysis result to obtain a target clinical path, and the initial resource of the target node can be adjusted and controlled, so that the resource processing meets the requirement of the preset standard resource, and the resource utilization rate is improved.
Drawings
FIG. 1 is a diagram of an application environment for a resource data processing method in one embodiment;
FIG. 2 is a flow chart of a method of processing resource data in one embodiment;
FIG. 3 is a schematic diagram of a process for determining preset standard resources in one embodiment;
FIG. 4 is a flowchart of a method for processing resource data according to another embodiment;
FIG. 5 is a block diagram of a resource data processing device in one embodiment;
fig. 6 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The resource data processing method provided by the embodiment of the application can be applied to an application environment shown in figure 1. Wherein the terminal 102 communicates with the server 104 via a network. The data storage system may store data that the server 104 needs to process. The data storage system may be integrated on the server 104 or may be located on a cloud or other network server. The server 104 receives an initial resource corresponding to the target node sent by the terminal 102, the initial resource is generated by serving the target object according to an initial clinical path, the initial resource is compared with a corresponding preset standard resource, the preset standard resource is determined according to a standard clinical path and a personal total resource, if the initial resource does not meet the preset standard resource, the initial clinical path corresponding to the initial resource is subjected to resource analysis, and a resource analysis result is obtained, wherein the resource analysis result represents the relationship among the initial clinical path, the initial resource and a corresponding expected service result, and the initial clinical path is optimized according to the resource analysis result, so that the target clinical path is obtained.
The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things devices, and portable wearable devices, where the internet of things devices may be smart speakers, smart televisions, smart air conditioners, smart vehicle devices, and the like. The portable wearable device may be a smart watch, smart bracelet, headset, or the like. The server 104 may be implemented as a stand-alone server or as a server cluster of multiple servers.
It can be understood that the resource data processing method provided by the embodiment of the application not only can be applied to the application scene that the server interacts with the terminal, but also can be independently applied to the server or the terminal.
In one embodiment, as shown in fig. 2, a resource data processing method is provided, and the method is applied to the server in fig. 1 for illustration, and includes the following steps 202 to 208.
Step 202, obtaining an initial resource corresponding to the target node, wherein the initial resource is generated by serving the target object according to the initial clinical path.
The server may acquire an initial resource corresponding to the target node sent by the terminal, or acquire the initial resource corresponding to the target node from an interface or a man-machine interaction interface corresponding to the server, where the initial resource is generated by serving the target object according to an initial clinical path. In this embodiment, according to the pre-designated initial clinical path serving the target object, an initial resource corresponding to the target node may be generated, where the target node may include at least one of a target period, a target stage, and a target item, and the target node characterizes a node that obtains the initial resource, and may be selected according to actual needs.
Step 204, comparing the initial resources with corresponding preset standard resources, wherein the preset standard resources are determined according to standard clinical paths and personal total resources.
In this embodiment, comparing the obtained initial resource corresponding to the target node with a corresponding preset standard resource to verify whether the initial resource meets the preset standard resource, where the preset standard resource is determined according to a standard clinical path and a personal total resource, for example, the personal total resource is allocated to each standard service item of the standard clinical path to obtain a first sub-resource corresponding to each standard service item in the standard clinical path, and the preset standard resource is determined according to the sub-resource corresponding to each standard service item; or, the personal total resources are distributed to all sub-paths of the standard clinical path to obtain second sub-resources corresponding to all sub-paths, and the preset standard resources are determined according to the second sub-resources corresponding to all sub-paths. The total resources of individuals can be understood as the sum of resources allocated to individuals, and can be virtual resources, special resources, tangible resources, or the like.
It can be appreciated that, when comparing the initial resource with the corresponding preset standard resource, the initial resource is corresponding to the target node, and then the preset standard resource is also corresponding to the target node, when comparing the initial resource with the corresponding preset standard resource, the initial resource corresponding to the same target node needs to be compared with the corresponding preset standard resource.
And 206, if the initial resources do not meet the preset standard resources, carrying out resource analysis on the initial clinical paths corresponding to the initial resources to obtain resource analysis results, wherein the resource analysis results represent the relationship among the initial clinical paths, the initial resources and the corresponding expected service results.
In this embodiment, if the initial resource does not meet the preset standard resource, for example, the initial resource is greater than the preset standard resource, then the resource analysis is performed on the initial clinical path corresponding to the initial resource, so as to obtain a resource analysis result. The resource analysis results represent the relationship among the initial clinical path, the initial resources and the corresponding expected service results, the initial resources are generated according to the initial clinical path serving the target object, and the corresponding expected service results can be generated according to the initial clinical path serving the target object.
If the initial resources do not meet the preset standard resources, carrying out resource analysis on the initial clinical paths corresponding to the initial resources to obtain a resource analysis result. Specifically, if the initial resource is higher than the preset standard resource, the analysis of the initial clinical path corresponding to the initial resource may be performed on the initial service item in the initial clinical path related to the initial resource, specifically, whether the initial resource of the item generated by the initial service item is too high or too low, the expected service result corresponding to the initial service item, whether the expected service result corresponding to the other standby service item is similar to the expected service result of the initial service item, and so on.
And step 208, optimizing the initial clinical path according to the resource analysis result to obtain a target clinical path.
In this embodiment, the server optimizes the initial clinical path according to the result of the resource analysis to obtain the target clinical path. Alternatively, the backup service item may be used to replace the initial service item based on the results of the resource analysis, resulting in a target clinical path. For example, for each initial service item involved in the initial clinical path, if the corresponding generated item initial resource is higher than the initial resource or exceeds the preset item resource, searching for a standby service item similar to the expected service result of the initial service item, wherein the corresponding generated item initial resource of the standby service item is lower than the corresponding generated item initial resource of the initial service item, and the corresponding generated item initial resource of the standby service item is lower than the preset item resource. It is easy to understand that in the case where the similarity between the expected service result of the standby service item and the expected service result of the initial service item is greater than the preset similarity, the initial service item may be replaced with the standby service item, wherein the standby service item includes an empty item, and when the standby service item is the empty item, the initial service item is replaced with the standby service item, which is substantially equivalent to the removal of the initial service item.
In the resource data processing method, the initial resources corresponding to the target nodes are obtained, and the initial resources are generated by serving the target objects according to the initial clinical paths; comparing the initial resources with corresponding preset standard resources, wherein the preset standard resources are determined according to standard clinical paths and personal total resources; if the initial resources do not meet the preset standard resources, carrying out resource analysis on the initial clinical paths corresponding to the initial resources to obtain resource analysis results, wherein the resource analysis results represent the relationship among the initial clinical paths, the initial resources and the corresponding expected service results; the initial clinical path is optimized according to the resource analysis result to obtain a target clinical path, and the initial resource of the target node can be adjusted and controlled, so that the resource processing meets the requirement of the preset standard resource, and the clinical path is optimized correspondingly, so that the resource utilization rate is improved.
In some embodiments, the target node comprises a target period, a target phase, or a target item.
In this embodiment, the target node may be a target period, that is, may acquire an initial resource of the target period, where the target period may be one day, three days, or one month, etc.; the target node may also be a target phase, i.e. an initial resource of the target phase may be acquired, the target phase may be, for example, a preoperative phase, an intra-operative phase or a post-operative phase for the operative phase, etc.; the target node may also be a target item, i.e., an initial resource corresponding to the target item may be obtained, and the target item may be any one or more service items in the initial clinical path.
Alternatively, an initial resource corresponding to at least one of the target period, or the target item may be acquired.
In this embodiment, the target node may include nodes with different dimensions, and the resource may be regulated and controlled from different dimensions through the nodes with different dimensions, so as to further improve the resource utilization rate.
In some embodiments, if the initial resource does not meet the preset standard resource, performing resource analysis on the initial clinical path corresponding to the initial resource to obtain a resource analysis result, including:
if the initial resources exceed the preset standard resources, carrying out resource analysis on each sub-path in the initial clinical path corresponding to the initial resources to obtain the resource analysis result of each sub-path; and taking the analysis result of each sub-path resource as the analysis result of the resource.
In this embodiment, the initial resource does not meet the preset standard resource, and if the initial resource exceeds the preset standard resource, the resource analysis is performed on each sub-path in the initial clinical path corresponding to the initial resource, so as to obtain the resource analysis result of each sub-path. Wherein each initial clinical path may include a plurality of sub-paths, each sub-path may include a plurality of service items. In this embodiment, the resource analysis is performed on the resources generated corresponding to each sub-path to obtain the analysis result of each sub-path resource, that is, the resource analysis is performed on the resources generated corresponding to each sub-path to analyze whether the ratio of the resources generated by the sub-path to the initial resources is higher, that is, whether the ratio of the resources generated by the sub-path to the initial resources is higher than a preset ratio, or whether the resources generated by the sub-path exceeds a preset resource threshold, whether a standby path with similar expected service results can be found for the sub-path with higher generated resources, and the resources generated corresponding to the standby path are lower than the resources generated corresponding to the sub-path, and so on. And by analogy, carrying out resource analysis on the resources generated corresponding to each sub-path to obtain the resource analysis results of each sub-path, and taking the resource analysis results of each sub-path as the resource analysis results corresponding to the initial path.
In this embodiment, if the initial resource exceeds the preset standard resource, the resource analysis is performed on each sub-path in the initial clinical path corresponding to the initial resource, so as to obtain each sub-path resource analysis result, and each sub-path resource analysis result is used as the resource analysis result, so that the corresponding resource can be further analyzed from each sub-path to obtain the sub-path resource analysis result, further and accurate resource analysis result can be obtained, the resource can be more accurately regulated and controlled, and the resource utilization rate can be further improved.
In one embodiment, optimizing the initial clinical path based on the resource analysis results to obtain the target clinical path includes: determining a standby path corresponding to the sub-path according to the analysis result of each sub-path resource; wherein the first resource required by the standby path is lower than the second resource required by the corresponding sub-path; and replacing the corresponding sub-path by using the standby path to obtain the target clinical path.
In this embodiment, the server determines, according to the analysis result of each sub-path resource, a backup path corresponding to the sub-path, where a first resource required by the backup path is lower than a second resource required by the corresponding sub-path, and if the first resource required by the backup path is lower than a preset standard resource, the backup path is used to replace the corresponding sub-path, so as to obtain the target clinical path. Optionally, according to each sub-path resource analysis result, determining a standby path corresponding to the sub-path from the sub-path resource analysis result, where an expected service result of the standby path is similar to an expected service result of the corresponding sub-path, and meanwhile, a first resource required by the standby path is lower than a second resource required by the corresponding sub-path, and then, replacing the corresponding sub-path with the standby path to obtain a target clinical path, that is, the target clinical path is a path formed by replacing the sub-path in the initial clinical path with the standby path.
In this embodiment, according to the analysis result of each sub-path resource, a standby path corresponding to the sub-path is determined, and the standby path is used to replace the corresponding sub-path, so as to obtain a target clinical path, so that the resources required by the target clinical path are lower than the initial resources required by the initial clinical path, thereby improving the utilization rate of the resources.
In some embodiments, determining the backup path corresponding to the sub-path according to the analysis result of each sub-path resource includes: acquiring disease stability data of a target object; and determining a standby path corresponding to the sub-path according to the analysis result of each sub-path and the illness state stability data.
In this embodiment, the disease stability data of the target object may be, for example, detection index data related to the disease of the target object. And determining a standby path corresponding to the sub-path according to the analysis result of each sub-path and the illness state stability data. Alternatively, if the condition stability data characterizes an unstable condition of the target subject, the resource difference between the first resource required for the backup path and the second resource required for the corresponding sub-path may be relatively small for the sub-path directly related to the condition of the target subject; if the condition stability data characterizes that the condition of the target object is relatively stable, the resource difference between the first resource required by the standby path and the second resource required by the corresponding sub-path may be relatively larger for the sub-path directly related to the condition of the target object.
In this embodiment, the sub-path analysis result and the disease stability data of the target object are combined to determine the standby path corresponding to the sub-path, so that the standby path more matched with the symptom of the target object can be determined, thereby realizing more accurate resource regulation and control, and further improving the resource utilization rate.
In one embodiment, as shown in FIG. 3, the determination of the preset standard resources from the standard clinical path and the total personal resources includes the following steps 302-306.
Step 302, each standard service item in the standard clinical path is acquired.
The standard clinical path may be a standard treatment pattern and treatment program determined for a disease based on empirical or extensive data statistical analysis. The standard clinical path includes a plurality of standard service items therein.
And step 304, distributing the personal total resources to each standard service item according to the illness state of the target object to obtain the sub-resource limit value corresponding to each standard service item.
The condition of the target object may include serious condition, general condition or slight condition, etc., in this embodiment, the total personal resources may be allocated to each standard service item according to the condition of the target object, so as to obtain a sub-resource limit value corresponding to each standard service item, where the sub-resource limit value may be understood as the maximum value of the sub-resources.
Optionally, the condition of the target object is different, the corresponding personal total resources may be different, the personal total resources are allocated to each standard service item, and the sub-resource limit value corresponding to each standard service item is also different. For example, the disease condition of the target object a is serious, and the corresponding total personal resource is D1; the disease condition of the target object B is mild, and the corresponding total personal resource is D2, which is D1> D2. The conditions of the target objects are different, and the distribution ratio of the personal total resources to each standard service item is different correspondingly.
And 306, determining a preset standard resource according to the sub-resource limit value.
The server may determine a preset standard resource according to the sub-resource limit value corresponding to each standard service item. The preset standard resources may be preset standard resources of different target nodes, and optionally, sub-resource limit values of standard service items corresponding to the target nodes may be summed to obtain the preset standard resources corresponding to the target nodes.
In the above embodiment, by acquiring each standard service item in the standard clinical path, according to the condition of the target object, the individual total resources are allocated to each standard service item, so as to obtain the sub-resource limit value corresponding to each standard service item, and according to the sub-resource limit value, the preset standard resources are determined, so that the preset standard resources more conforming to the target object can be determined in combination with the condition of the target object, thereby realizing more accurate adjustment and control of the resources, and effectively improving the resource utilization rate.
In one embodiment, as depicted in FIG. 4, the resource data processing method includes the following steps 402 through 410.
Step 402, obtaining an initial resource corresponding to the target node, where the initial resource is generated by serving the target object according to the initial clinical path.
Step 404, comparing the initial resources with corresponding preset standard resources, wherein the preset standard resources are determined according to standard clinical paths and personal total resources.
And step 406, if the initial resources exceed the preset standard resources, carrying out resource analysis on each sub-path in the initial clinical path corresponding to the initial resources to obtain the resource analysis result of each sub-path.
Step 408, determining a standby path corresponding to the sub-path according to the analysis result of each sub-path resource; wherein the first resources required for the backup path are lower than the second resources required for the corresponding sub-path.
Step 410, replacing the corresponding sub-path with the backup path to obtain the target clinical path.
In the above embodiment, by comparing the initial resource corresponding to the initial clinical path with the preset standard resource, if the initial resource exceeds the preset standard resource, performing resource analysis on each sub-path in the initial clinical path corresponding to the initial resource to obtain a resource analysis result of each sub-path, and then determining a standby path corresponding to the sub-path according to the sub-path resource analysis result, replacing the corresponding sub-path with the standby path to obtain the target clinical path, thereby realizing deep and accurate resource adjustment and control and effectively improving the resource utilization efficiency.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a resource data processing device for realizing the above related resource data processing method. The implementation of the solution provided by the apparatus is similar to the implementation described in the above method, so the specific limitation in the embodiments of one or more resource data processing apparatus provided below may refer to the limitation of the resource data processing method hereinabove, and will not be repeated herein.
In one embodiment, as shown in fig. 5, there is provided a resource data processing apparatus including: a data acquisition module 502, a resource comparison module 504, a resource analysis module 506, and a path optimization module 508, wherein:
the data acquisition module 502 is configured to acquire an initial resource corresponding to a target node, where the initial resource is generated by serving a target object according to an initial clinical path;
a resource comparison module 504, configured to compare the initial resource with a corresponding preset standard resource, where the preset standard resource is determined according to a standard clinical path and a total personal resource;
the resource analysis module 506 is configured to perform resource analysis on an initial clinical path corresponding to the initial resource if the initial resource does not meet a preset standard resource, so as to obtain a resource analysis result, where the resource analysis result characterizes a relationship among the initial clinical path, the initial resource, and a corresponding expected service effect;
and the path optimization module 508 is configured to optimize the initial clinical path according to the resource analysis result, so as to obtain a target clinical path.
In one embodiment, the resource analysis module 506 is further configured to:
if the initial resources exceed the preset standard resources, carrying out resource analysis on each sub-path in the initial clinical path corresponding to the initial resources to obtain a resource analysis result of each sub-path; and taking the sub-path resource analysis results as the resource analysis results.
The path optimization module 508 is further configured to:
determining a standby path corresponding to each sub-path according to the analysis result of each sub-path resource; the first resource required by the standby path is lower than the second resource required by the corresponding sub path; and replacing the corresponding sub-path by using the standby path to obtain the target clinical path.
In one embodiment, the path optimization module 508 is further configured to:
acquiring disease stability data of the target object; and determining a standby path corresponding to each sub-path according to the analysis result of each sub-path and the disease stability data.
In one embodiment, the apparatus further includes a preset resource determining module, configured to determine a preset standard resource according to a standard clinical path and a total personal resource, including:
acquiring each standard service item in a standard clinical path;
according to the condition of the target object, distributing the personal total resources to each standard service item to obtain a sub-resource limit value corresponding to each standard service item;
and determining the preset standard resource according to the sub-resource limit value.
The respective modules in the above-described resource data processing apparatus may be implemented in whole or in part by software, hardware, or a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 6. The computer device includes a processor, a memory, an Input/Output interface (I/O) and a communication interface. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface is connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used for storing preset standard resource data. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a resource data processing method.
It will be appreciated by those skilled in the art that the structure shown in FIG. 6 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the method embodiments described above when the computer program is executed.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, implements the steps of the method embodiments described above.
In an embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the steps of the method embodiments described above.
It should be noted that, the user information (including but not limited to user equipment information, user personal information, etc.) and the data (including but not limited to data for analysis, stored data, presented data, etc.) related to the present application are information and data authorized by the user or sufficiently authorized by each party, and the collection, use and processing of the related data need to comply with the related regulations and standards.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of the application should be assessed as that of the appended claims.
Claims (10)
1. A method of resource data processing, the method comprising:
acquiring initial resources corresponding to a target node, wherein the initial resources are generated by serving a target object according to an initial clinical path;
comparing the initial resources with corresponding preset standard resources, wherein the preset standard resources are determined according to standard clinical paths and personal total resources;
if the initial resources do not meet the preset standard resources, carrying out resource analysis on the initial clinical paths corresponding to the initial resources to obtain resource analysis results, wherein the resource analysis results represent the relationship among the initial clinical paths, the initial resources and the corresponding expected service results;
and optimizing the initial clinical path according to the resource analysis result to obtain a target clinical path.
2. The method of claim 1, wherein the target node comprises a target period, a target phase, or a target item.
3. The method of claim 1, wherein if the initial resource does not meet a preset standard resource, performing resource analysis on an initial clinical path corresponding to the initial resource to obtain a resource analysis result, including:
if the initial resources exceed the preset standard resources, carrying out resource analysis on each sub-path in the initial clinical path corresponding to the initial resources to obtain a resource analysis result of each sub-path;
and taking the sub-path resource analysis results as the resource analysis results.
4. A method according to claim 3, wherein optimizing the initial clinical path based on the resource analysis results to obtain a target clinical path comprises:
determining a standby path corresponding to each sub-path according to the analysis result of each sub-path resource; the first resource required by the standby path is lower than the second resource required by the corresponding sub path;
and replacing the corresponding sub-path by using the standby path to obtain the target clinical path.
5. The method of claim 4, wherein determining the backup path corresponding to the sub-path according to the analysis result of each sub-path resource comprises:
acquiring disease stability data of the target object;
and determining a standby path corresponding to each sub-path according to the analysis result of each sub-path and the disease stability data.
6. The method of any one of claims 1 to 5, wherein determining the preset standard resources from the standard clinical path and the personal total resources comprises:
acquiring each standard service item in a standard clinical path;
according to the condition of the target object, distributing the personal total resources to each standard service item to obtain a sub-resource limit value corresponding to each standard service item;
and determining the preset standard resource according to the sub-resource limit value.
7. A resource data processing apparatus, the apparatus comprising:
the data acquisition module is used for acquiring initial resources corresponding to the target node, wherein the initial resources are generated by serving the target object according to an initial clinical path;
the resource comparison module is used for comparing the initial resource with a corresponding preset standard resource, wherein the preset standard resource is determined according to a standard clinical path and a personal total resource;
the resource analysis module is used for carrying out resource analysis on the initial clinical path corresponding to the initial resource if the initial resource does not meet the preset standard resource, so as to obtain a resource analysis result, wherein the resource analysis result represents the relation among the initial clinical path, the initial resource and the corresponding expected service effect;
and the path optimization module is used for optimizing the initial clinical path according to the resource analysis result to obtain a target clinical path.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 6 when the computer program is executed.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
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| CN202311222246.9A CN117198557A (en) | 2023-09-21 | 2023-09-21 | Resource data processing method, device, computer equipment and storage medium |
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