CN111932142A - Method, device, equipment and storage medium for scheme grouping and data grouping - Google Patents
Method, device, equipment and storage medium for scheme grouping and data grouping Download PDFInfo
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- CN111932142A CN111932142A CN202010864383.2A CN202010864383A CN111932142A CN 111932142 A CN111932142 A CN 111932142A CN 202010864383 A CN202010864383 A CN 202010864383A CN 111932142 A CN111932142 A CN 111932142A
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- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
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Abstract
The embodiment of the application provides a method, a device, equipment and a storage medium for scheme grouping and data grouping, and relates to the technical field of computer application. The method comprises the following steps: for each scheme to be grouped in the initial scheme set, testing the scheme to be grouped by using a target data set to obtain a target test result, and analyzing the target test result to obtain a first test result of the scheme to be grouped; and selecting at least one scheme to be grouped from the initial scheme set according to the first test result corresponding to each scheme to be grouped in the initial scheme set to form a target scheme set corresponding to the target class. The embodiment of the application realizes that the target objects can be flexibly and accurately grouped, and the accurate settlement scheme is determined according to the grouping result.
Description
Technical Field
The present application relates to the field of computer application technologies, and in particular, to a method, an apparatus, a device, and a storage medium for scheme grouping and data grouping.
Background
At present, when a unique and accurate checkout manner needs to be determined for target objects with multiple checkout manners, grouping operation is usually performed on the target objects in advance, target objects belonging to the same group have the same checkout manner, that is, one group corresponds to one checkout manner, and different groups have different checkout manners.
However, once the grouping operation for the target object is completed, the target object can only use the checkout method corresponding to the group in which the target object is located, regardless of whether the checkout method corresponding to the group is suitable for the target object. Therefore, the grouping method in the prior art cannot flexibly, accurately and quickly group the target objects, and perform subsequent processing according to the grouping result, for example, a settlement scheme can be determined according to the grouping result.
Disclosure of Invention
The application provides a method, a device, equipment and a storage medium for scheme grouping and data grouping, which can solve the problem that a target object cannot be flexibly and accurately grouped in the prior art, and an accurate settlement scheme cannot be determined if a grouping result is inaccurate. The technical scheme is as follows:
in a first aspect, a method for grouping schemes is provided, and the method includes:
for each scheme to be grouped in the initial scheme set, testing the scheme to be grouped by using a target data set to obtain a target test result, and analyzing the target test result to obtain a first test result of the scheme to be grouped, wherein the target data set comprises at least one test data under a target category, and the first test result represents the matching degree between the scheme to be grouped and the target data set;
and selecting at least one scheme to be grouped from the initial scheme set according to the first test result corresponding to each scheme to be grouped in the initial scheme set to form a target scheme set corresponding to a target class, wherein the target scheme set is used for carrying out scheme grouping on the data to be grouped under the target class.
Specifically, the target data set includes at least two sets of test data sets, and different test data sets correspond to different data partitioning modes.
Specifically, the testing the scheme to be grouped by using the target data set to obtain a target test result includes:
for each test data set in at least two groups of test data sets, respectively testing the scheme to be grouped by using at least two test data in the test data set to obtain second test results corresponding to the at least two test data in the test data set;
and forming a target test result corresponding to the scheme to be grouped according to each obtained second test result.
Specifically, analyzing the target test result to obtain a first test result of the scheme to be grouped includes:
calculating to obtain a third test result, wherein the third test result is used for representing the difference between each second test result in the target test results corresponding to the scheme to be grouped;
calculating to obtain a fourth test result, wherein the fourth test result is used for representing the difference between each second test result in the target test results corresponding to the scheme to be grouped and each second test result in the target test results corresponding to other schemes to be grouped;
and determining a first test result of the scheme to be grouped according to the third test result and the fourth test result.
Specifically, selecting at least one scheme to be grouped from the initial scheme set according to a first test result corresponding to each scheme to be grouped in the initial scheme set, includes:
for each scheme to be grouped in the initial scheme set, if the target test result of the scheme to be grouped comprises at least one error test result of the test data, deleting the scheme to be grouped from the initial scheme set;
taking the initial scheme set after the scheme to be grouped is deleted as an intermediate scheme set;
and selecting at least one scheme to be grouped from the intermediate scheme set according to the first test result corresponding to each scheme to be grouped in the intermediate scheme set.
Specifically, selecting at least one scheme to be grouped from the intermediate scheme set according to the first test result corresponding to each scheme to be grouped in the intermediate scheme set, includes:
according to the first test result corresponding to each scheme to be grouped in the intermediate scheme set, sequencing the schemes to be grouped in the intermediate scheme set from high to low in priority;
and selecting a preset number of schemes to be grouped which are sorted at the top from the intermediate scheme set. Specifically, the grouping rule of each scheme to be grouped is set according to the attribute rule of the target class to which the target data set belongs.
In a second aspect, a data grouping method is provided, which specifically includes:
acquiring data to be grouped, wherein the data to be grouped is data in a target category;
determining a target scheme set corresponding to the target category, wherein the target scheme set is a scheme set obtained by adopting the scheme grouping method;
and selecting one grouping scheme matched with the data to be grouped from the target scheme set.
Specifically, selecting a grouping scheme matched with the data to be grouped from the target scheme set comprises the following steps:
determining the priority ranking result of each grouping scheme in the target scheme set;
and selecting a grouping scheme matched with the data to be grouped from the target scheme set according to the priority sorting result.
Specifically, selecting a grouping scheme matched with the data to be grouped from the target scheme set according to the priority ranking result comprises the following steps:
selecting a grouping scheme with the highest priority from the target scheme set as a first grouping scheme;
detecting a triggering behavior of a user;
if the triggering behavior indicates that the first grouping scheme is the correct grouping scheme of the data to be grouped, taking the first grouping scheme as the final grouping scheme of the data to be grouped;
if the triggering behavior indicates that the first grouping scheme is an error grouping scheme of the data to be grouped, taking the grouping scheme of the next priority of the first grouping scheme as the first grouping scheme, and continuing to execute the step of detecting the triggering behavior of the user.
In a third aspect, an apparatus for grouping schemes is provided, the apparatus comprising:
the test module is used for testing each scheme to be grouped in the initial scheme set by using a target data set to obtain a target test result, analyzing the target test result to obtain a first test result of the scheme to be grouped, wherein the target data set comprises at least one test data under a target category, and the first test result represents the matching degree between the scheme to be grouped and the target data set;
and the operation module is used for selecting at least one scheme to be grouped from the initial scheme set according to the first test result corresponding to each scheme to be grouped in the initial scheme set to form a target scheme set corresponding to the target class, and the target scheme set is used for carrying out scheme grouping on the data to be grouped under the target class.
Specifically, the target data set includes at least two sets of test data sets, and different test data sets correspond to different data partitioning modes.
The test module is specifically configured to:
for each test data set in at least two groups of test data sets, respectively testing the scheme to be grouped by using at least two test data in the test data set to obtain second test results corresponding to the at least two test data in the test data set;
and forming a target test result corresponding to the scheme to be grouped according to each obtained second test result.
The test module is specifically configured to:
calculating to obtain a third test result, wherein the third test result is used for representing the difference between each second test result in the target test results corresponding to the scheme to be grouped;
calculating to obtain a fourth test result, wherein the fourth test result is used for representing the difference between each second test result in the target test results corresponding to the scheme to be grouped and each second test result in the target test results corresponding to other schemes to be grouped;
and determining a first test result of the scheme to be grouped according to the third test result and the fourth test result.
The operation module is specifically used for:
for each scheme to be grouped in the initial scheme set, if the target test result of the scheme to be grouped comprises at least one error test result of the test data, deleting the scheme to be grouped from the initial scheme set;
taking the initial scheme set after the scheme to be grouped is deleted as an intermediate scheme set;
and selecting at least one scheme to be grouped from the intermediate scheme set according to the first test result corresponding to each scheme to be grouped in the intermediate scheme set.
The operation module is specifically used for sequencing the schemes to be grouped in the intermediate scheme set from high to low according to the first test result corresponding to each scheme to be grouped in the intermediate scheme set;
and selecting a preset number of schemes to be grouped which are sorted at the top from the intermediate scheme set.
Specifically, the grouping rule of each scheme to be grouped is set according to the attribute rule of the target class to which the target data set belongs.
In a fourth aspect, a data grouping apparatus is provided, which specifically includes:
the acquisition module is used for acquiring data to be grouped, wherein the data to be grouped is data in a target category;
a determining module, configured to determine a target scheme set corresponding to a target category, where the target scheme set is a scheme set obtained by using the scheme grouping apparatus;
and the selection module is used for selecting a grouping scheme matched with the data to be grouped from the target scheme set.
The selection module is used for:
determining the priority ranking result of each grouping scheme in the target scheme set;
and selecting a grouping scheme matched with the data to be grouped from the target scheme set according to the priority sorting result.
The selection module is specifically configured to:
selecting a grouping scheme with the highest priority from the target scheme set as a first grouping scheme;
detecting a triggering behavior of a user;
if the triggering behavior indicates that the first grouping scheme is the correct grouping scheme of the data to be grouped, taking the first grouping scheme as the final grouping scheme of the data to be grouped;
if the triggering behavior indicates that the first grouping scheme is an error grouping scheme of the data to be grouped, taking the grouping scheme of the next priority of the first grouping scheme as a first grouping scheme, and continuing to execute the step of detecting the triggering behavior of the user.
In a fifth aspect, an electronic device is provided, which includes:
one or more processors;
a memory;
one or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to: the above scheme grouping method is performed.
In a sixth aspect, an electronic device is provided, which includes:
one or more processors;
a memory;
one or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to: the above-described data grouping method is performed.
In a seventh aspect, a computer-readable storage medium is provided, which when executed by a processor implements the above-described scheme grouping method.
In an eighth aspect, there is provided a computer readable storage medium, which when executed by a processor, implements the data grouping method described above.
The beneficial effect that technical scheme that this application provided brought is:
in the scheme grouping method provided by the embodiment of the application, for each scheme to be grouped in an initial scheme set, a target data set is used for testing the scheme to be grouped to obtain a test result, the test result is analyzed to obtain a first test result of the scheme to be grouped, the first test result represents the matching degree between the scheme to be grouped and the target data set, and the target data set comprises at least one group of test data sets in a target category; according to the mode, a first test result corresponding to each scheme to be grouped in the initial scheme set is obtained, then at least one scheme to be grouped is selected from the initial scheme set to form a target scheme set corresponding to a target class, and the target scheme set is used for carrying out scheme grouping on the data to be grouped under the target class. Because the test data sets in the target data sets for testing all belong to the same target class, the schemes to be grouped in the selected target scheme set can group the data of the same target class. Therefore, the method can select at least one appropriate scheme to be grouped for the test data set of the same target class so as to perform grouping operation on the grouped data, and the problem that the required scheme division rule cannot be flexibly, quickly and simply designed once the scheme division rule is fixed in the prior art is solved.
In the data grouping method provided by the embodiment of the application, when the data to be grouped is acquired, a target scheme set corresponding to a target class to which the data to be grouped belongs is determined, the target scheme set is obtained in the scheme grouping method, and a grouping scheme matched with the data to be grouped is selected from the target scheme set. Therefore, in the data grouping method provided by the application, a plurality of different grouping schemes can be provided for the same to-be-grouped data, and one grouping scheme is selected from the plurality of different grouping schemes to group the to-be-grouped data.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings used in the description of the embodiments of the present application will be briefly described below.
Fig. 1 is a schematic flowchart of a scheme grouping method provided in an embodiment of the present application;
fig. 2 is a schematic flowchart of a data grouping method according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a grouping apparatus according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a data grouping apparatus according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary only for the purpose of explaining the present application and are not to be construed as limiting the present invention.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or wirelessly coupled. As used herein, the term "and/or" includes all or any element and all combinations of one or more of the associated listed items.
To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
The present application provides a scheme grouping method, as shown in fig. 1, the method includes the following steps:
step S11, for each scheme to be grouped in the initial scheme set, testing the scheme to be grouped by using the target data set to obtain a target test result;
in this step, the initial scheme set includes at least one scheme to be grouped;
the target data set comprises at least one group of test data sets under the target category, namely, the test data sets in the target data set all belong to the same target category. Step S12, analyzing the target test result to obtain a first test result of the scheme to be grouped, wherein the first test result represents the matching degree between the scheme to be grouped and the target data set;
the target data set comprises at least one group of test data sets, each group of test data sets can obtain a target test result after testing the scheme to be grouped, and the obtained target test result is analyzed to obtain a first test result of the scheme to be grouped; through the method, the first test result of each scheme to be grouped in the initial scheme set can be obtained.
Step S13, selecting at least one scheme to be grouped from the initial scheme set according to the first test result corresponding to each scheme to be grouped in the initial scheme set to form a target scheme set corresponding to a target class, wherein the target scheme set is used for carrying out scheme grouping on the data to be grouped under the same target class;
in this step, at least one scheme to be grouped is selected from the plurality of schemes to be grouped according to the first test result, the selected scheme to be grouped can group data of the same target class, and the selected scheme to be grouped forms a target scheme set. Thus, one set of target solutions can group data of the same class of target. Therefore, the technical scheme provided by the application is not only a unique scheme grouping mode but also a method for selecting one or more required scheme groupings according to the actual situation.
In the step S11, the specific manner of "testing the scheme to be grouped by using the target data set to obtain the target test result" includes:
for each test data set in at least two groups of test data sets, respectively testing the scheme to be grouped by using at least two test data in the test data set to obtain second test results corresponding to the at least two test data in the test data set; that is, the grouping scheme corresponds to at least two second test results at this time;
and forming a target test result corresponding to the scheme to be grouped according to each obtained second test result.
In the step S12, the specific process of "analyzing the target test result to obtain the first test result of the scheme to be grouped" includes:
calculating to obtain a third test result, wherein the third test result is used for representing the difference between each second test result in the target test results corresponding to the scheme to be grouped; for example, calculating a Coefficient of Variation (CV) in the group of the schemes to be grouped according to the second test result;
calculating to obtain a fourth test result, wherein the fourth test result is used for representing the difference between each second test result in the target test results corresponding to the scheme to be grouped and each second test result in the target test results corresponding to other schemes to be grouped; for example, determining an overall reduced variation coefficient (RIV) of the grouping scheme according to the second test result of the scheme to be grouped itself and the second test results of the other schemes to be grouped;
and determining a first test result of the scheme to be grouped according to the third test result and the fourth test result. That is, the to-be-grouped schemes having the values of CV and RIV within the specified threshold interval are determined as the retainable to-be-grouped schemes, i.e., the first test results, according to whether the calculated values of CV and RIV are within the specified threshold interval.
In step S13, "selecting at least one scheme to be grouped from the initial scheme set according to the first test result corresponding to each scheme to be grouped in the initial scheme set", specifically includes:
for each scheme to be grouped in the initial scheme set, if the target test result of the scheme to be grouped comprises at least one error test result of the test data, deleting the scheme to be grouped from the initial scheme set; that is, after all the test data sets in the target data set are used for respectively testing the schemes to be grouped, one test data is selected from the target data set for independently testing the schemes to be grouped, and if the test result is wrong, the schemes to be grouped are deleted; or selecting a specified number of test data according to actual requirements to respectively and independently test the grouping scheme to be tested, and deleting the grouping scheme to be tested when the test result is that the error condition exceeds the specified number; for example, five test data are used to test the scheme to be grouped, wherein when the test result of 3 test data is error, the scheme to be grouped is deleted.
Taking the initial scheme set after the scheme to be grouped is deleted as an intermediate scheme set;
and selecting at least one scheme to be grouped from the intermediate scheme set according to the first test result corresponding to each scheme to be grouped in the intermediate scheme set.
The method comprises the following steps of selecting at least one scheme to be grouped from an intermediate scheme set according to a first test result corresponding to each scheme to be grouped in the intermediate scheme set:
according to the first test result corresponding to each scheme to be grouped in the intermediate scheme set, sequencing the schemes to be grouped in the intermediate scheme set from high to low in priority;
and selecting a preset number of schemes to be grouped which are sorted at the top from the intermediate scheme set.
Specifically, the grouping rule of each scheme to be grouped is set according to the attribute rule of the target class to which the target data set belongs.
The priority in the particular ordering scheme may be determined according to the priority of the scheme used to partition the test data sets in the target data set.
In the scheme grouping method provided by the embodiment of the application, for each scheme to be grouped in an initial scheme set, a target data set is used for testing the scheme to be grouped to obtain a test result, the test result is analyzed to obtain a first test result of the scheme to be grouped, the first test result represents the matching degree between the scheme to be grouped and the target data set, and the target data set comprises at least one piece of test data in a target category; according to the mode, a first test result corresponding to each scheme to be grouped in the initial scheme set is obtained, then at least one scheme to be grouped is selected from the initial scheme set to form a target scheme set corresponding to a target class, and the target scheme set is used for carrying out scheme grouping on the data to be grouped under the target class. Because the test data in the target data set for testing all belong to the same target class, the schemes to be grouped in the selected target scheme set can group the data of the same target class. Therefore, the method can select at least one appropriate scheme to be grouped for the test data of the same target class so as to perform grouping operation on the grouped data, and the problem that the required scheme division rule cannot be flexibly, quickly and simply designed once the scheme division rule is fixed in the prior art is solved. The technical scheme is described in detail in a settlement management system actually applied to a hospital, and the technical scheme of the embodiment is mainly used for grouping medical records and determining the specific medical expenses of the medical records according to the grouped result. For example, in DRG packets, or, alternatively, in the Main Diagnostic Category (MDC). In this example, the target data set is all cases on which appendicitis surgery has been performed; the test data set is a medical record divided according to different classification modes, for example, the target data set comprises a test data set A and a test data set B, wherein the test data set A is a medical record divided according to age, and the test data set B is a medical record divided according to gender. The medical records of the target category test data set A and the test data set B belong to the appendicitis surgery category; the test data set includes a plurality of test data, each of which is a medical record, for example, the test data set includes a medical record a1 and a medical record a2 … …. It is assumed that an initial scheme set pre-stored in the system includes N schemes to be grouped, for example, from a first scheme to a nth scheme to be grouped; at least one scheme to be grouped is selected from the N schemes to be grouped according to each test data set in the target data set, and the scheme to be grouped can be reasonably used for accurately classifying the cases of the appendicitis operation so as to finally determine the settlement expense amount, for example, the first scheme to be grouped corresponds to the first payment amount, and the second scheme to be grouped corresponds to the second payment amount. The priority of each scheme to be grouped is determined by the corresponding mode of dividing the medical records, for example, the priority is highest according to the mode of dividing the medical records by age, the priority is next highest according to the mode of dividing the medical records by gender, and when the scheme to be grouped obtained by finally dividing the medical records according to the age is reserved, the priority of the scheme to be grouped is highest; that is, when the priority of the test data set a is the highest, the priority of the scheme to be grouped corresponding to the test data set a is the highest, and the specific manner is as follows:
step A, testing a first scheme to be grouped by using at least two groups of test data in a target data set;
for example, using a target data set, namely a medical record of appendicitis operation, using a medical record classified according to age as a test data set A and a medical record classified according to gender as a test data set B, and using the test data set A and the test data set B to respectively test a first scheme to be grouped;
step B, testing the first scheme to be grouped by using the test data a1 … … an in the test data set A respectively to obtain n second test results; respectively testing the first scheme to be grouped by using the test data B1 … … bn in the test data set B to obtain n second test results;
step C, forming a target test result A of the first scheme to be grouped by using n second test results corresponding to the test data set A; forming a target test result B of the first scheme to be grouped by using n second test results corresponding to the test data set B;
step D, calculating CV according to a second test result in the target test result A to obtain a third test result A of the test data set A;
step E, calculating RIV according to the second test result in the target test result A and the second test result in the target test result B to obtain a fourth test result A of the test data set A;
step E, calculating a first test result A of the test data set A according to the third test result A and the fourth test result B;
the first to-be-grouped scheme is determined as an available grouping scheme, namely the first test result a, according to whether the CV value of the third test result a is within a specified threshold range and whether the RIV value of the fourth test result a is within a specified threshold range;
respectively calculating N first test results for the N schemes to be grouped according to the steps;
step D, testing the first scheme to be grouped by using the test data a1 in the test data set A; if the test result of the test data a1 is wrong, deleting the first scheme to be grouped;
testing the N schemes to be grouped according to the step, and finally reserving the M schemes to be grouped;
step E, taking the reserved M schemes to be grouped as an intermediate scheme set;
step F, sequencing the M schemes to be grouped from high priority to low priority, and the specific method comprises the following steps:
for example, if the test data set a has the highest priority, the scheme a to be grouped corresponding to the test priority a has the highest priority;
g, forming a to-be-grouped scheme corresponding to the target category from the P to-be-grouped schemes in the sequencing range or in the front sequencing from the rest M to-be-grouped schemes;
at this time, the obtained P schemes to be grouped are a final target scheme set, and are used for grouping the data to be grouped, namely, the appendicitis cases are finally grouped to determine the payment amount.
The present application provides a data grouping method, where the data grouping method performs grouping operation on to-be-grouped data by using a target scheme set obtained in the scheme grouping method, as shown in fig. 2, the method specifically includes:
step S21, acquiring data to be grouped, wherein the data to be grouped is data in a target category;
specifically, the data to be grouped are appendicitis operation cases divided according to age or gender; the target category is the medical record of the transfusion and appendicitis operation;
step S22, determining a target scheme set corresponding to the target category;
for example, a plurality of target solution sets are stored in the system, wherein one target category is a target solution set for appendicitis surgery and the other target category is a target solution set for heart disease;
and determining a target scheme set according to the target class to which the data to be classified belongs.
Step S23, selecting a grouping scheme matched with the data to be grouped from the target scheme set;
i.e. a matching grouping scheme is selected from the P grouping schemes in the target scheme set.
Wherein, the step S23 of selecting a grouping scheme matching the data to be grouped from the target scheme set specifically comprises,
determining the priority ranking result of each grouping scheme in the target scheme set; the priority ranking mode of the P packet schemes, for example, the packet scheme with age as the main dividing mode has the highest priority, and the packet scheme with gender as the main dividing mode has the second highest priority;
selecting a grouping scheme matched with the data to be grouped from the target scheme set according to the priority sorting result; e.g., selecting the highest priority grouping scheme; grouping the data to be tested by using a grouping scheme with the age as a main dividing mode;
specifically, a grouping scheme with the highest priority is selected from the target scheme set as a first grouping scheme;
detecting a triggering behavior of a user;
if the triggering behavior indicates that the first grouping scheme is the correct grouping scheme of the data to be grouped, taking the first grouping scheme as the final grouping scheme of the data to be grouped;
if the triggering behavior indicates that the first grouping scheme is an error grouping scheme of the to-be-grouped data, taking a grouping scheme of the next priority of the first grouping scheme as the first grouping scheme, and continuing to execute the step of detecting the user triggering behavior; for example, a grouping scheme by age is selected, and if it is determined that correct grouping is not possible, a grouping scheme by gender is selected until it is unknown to find the most suitable grouping scheme.
The triggering behavior in the application refers to a behavior generated by a user according to whether a first grouping scheme is a correct grouping scheme of the data to be grouped; the triggering act includes determining that the first grouping scheme is a correct grouping scheme for the data to be grouped or that the first grouping scheme is an incorrect grouping scheme for the data to be grouped.
In the data grouping method provided by the embodiment of the application, when the data to be grouped is acquired, a target scheme set corresponding to a target class to which the data to be grouped belongs is determined, the target scheme set is obtained in the scheme grouping method, and a grouping scheme matched with the data to be grouped is selected from the target scheme set. Therefore, in the data grouping method provided by the application, a plurality of different grouping schemes can be provided for the same to-be-grouped data, and one grouping scheme is selected from the plurality of different grouping schemes to group the to-be-grouped data.
The data grouping method is described below with a specific embodiment, which is applied to a hospital settlement management system and is mainly used for grouping medical records and determining the specific medical expenses of the medical records according to the grouped results. For example, in DRG packets, or, alternatively, in the Main Diagnostic Category (MDC). Assuming that a settlement management system of a hospital comprises a plurality of target grouping schemes, the settlement management system can classify cases such as appendicitis, heart disease, cancer and the like respectively; the data to be tested is an appendicitis operation case, and the target grouping scheme aiming at appendicitis comprises a plurality of grouping schemes such as a grouping scheme 1 (which is divided according to age and has the highest priority), a grouping scheme 2 (which is divided according to gender and has the second highest priority) and the like; the specific process is as follows:
step one, acquiring a scheme to be grouped, and determining a target class to which the scheme to be grouped belongs;
for example, if the scheme to be grouped is an appendicitis case, the corresponding target category is determined to be an appendicitis operation;
step two, determining a target scheme set 1 suitable for appendicitis surgery from a plurality of target scheme sets;
step three, according to the priority sequence of the grouping schemes in the target grouping set 1, selecting the grouping scheme 1 with the highest priority to group the data to be grouped, and when the grouping result of the grouping scheme 1 is determined to be correct, carrying out expense settlement on the medical record according to the mode of the grouping scheme 1; if the grouping result mode of the grouping scheme 1 is determined to be incorrect, executing a step four;
step four, grouping the medical records by using a grouping scheme 2, and settling the expenses of the medical records according to the grouping scheme 2;
according to the method, until a grouping scheme suitable for the data to be grouped is selected.
The technical scheme can be applied to a settlement management system of a hospital, and is mainly used for grouping medical records and determining the specific medical expenses of the medical records according to the grouped results. For example, the method is applied to DRG grouping or Main Diagnostic Classification (MDC), for example, a data set of a DRG case is used as a target data set, a to-be-grouped scheme is set according to an attribute rule of a DRG to obtain a plurality of to-be-grouped schemes suitable for grouping the DRG case, and then a target scheme set is determined from the plurality of to-be-grouped schemes according to a scheme grouping method provided by the present application to be suitable for grouping the DRG case.
Or, taking the case set of the MDC data as a target data set, setting the to-be-grouped schemes according to the attribute rule of the MDC to obtain a plurality of to-be-grouped schemes suitable for grouping the MDC cases, and then determining a target scheme set from the plurality of to-be-grouped schemes according to the scheme grouping method provided by the present application to be suitable for grouping the MDC cases.
Specifically, the grouping scheme may be set according to the coding rules of ICD-9 and ICD-10 corresponding to the DRG or MAC in the present application.
The scheme grouping method and the data grouping method provided by the application are not limited to DRG grouping and MDC grouping, and can be applied to all data capable of being classified. That is, the method provided in the embodiment of the present application may also be applied to all schemes that require classification processing and perform corresponding operations according to processing results, for example, the method may classify digital information such as information and data, and perform corresponding operations on the information or the data according to classification results.
The scheme grouping method and the data grouping method can be applied to a settlement management system of a hospital, are mainly used for grouping medical records and determining the specific medical expenses of the medical records according to the grouped result, namely determining a specific settlement scheme. For example, in DRG packets, or, alternatively, in the Main Diagnostic Category (MDC).
An embodiment of the present application provides a scheme grouping apparatus, as shown in fig. 3, the apparatus includes:
the test module 31 is configured to, for each to-be-grouped scheme in the initial scheme set, test the to-be-grouped scheme by using a target data set to obtain a target test result, and analyze the target test result to obtain a first test result of the to-be-grouped scheme, where the target data set includes at least one test data in a target category, and the first test result represents a matching degree between the to-be-grouped scheme and the target data set;
an operation module 32, configured to select at least one scheme to be grouped from the initial scheme set according to a first test result corresponding to each scheme to be grouped in the initial scheme set, to form a target scheme set corresponding to a target class, where the target scheme set is used to perform scheme grouping on the data to be grouped in the target class.
Specifically, the target data set includes at least two sets of test data sets, and different test data sets correspond to different data partitioning modes.
The test module 31 is specifically configured to:
for each test data set in at least two groups of test data sets, respectively testing the scheme to be grouped by using at least two test data in the test data set to obtain second test results corresponding to the at least two test data in the test data set;
and forming a target test result corresponding to the scheme to be grouped according to each obtained second test result.
The test module 31 is specifically configured to:
calculating to obtain a third test result, wherein the third test result is used for representing the difference between each second test result in the target test results corresponding to the scheme to be grouped;
calculating to obtain a fourth test result, wherein the fourth test result is used for representing the difference between each second test result in the target test results corresponding to the scheme to be grouped and each second test result in the target test results corresponding to other schemes to be grouped;
and determining a first test result of the scheme to be grouped according to the third test result and the fourth test result.
The operation module 32 is specifically configured to:
for each scheme to be grouped in the initial scheme set, if the target test result of the scheme to be grouped comprises at least one error test result of the test data, deleting the scheme to be grouped from the initial scheme set;
taking the initial scheme set after the scheme to be grouped is deleted as an intermediate scheme set;
and selecting at least one scheme to be grouped from the intermediate scheme set according to the first test result corresponding to each scheme to be grouped in the intermediate scheme set.
The operation module 32 is specifically configured to sort the schemes to be grouped in the intermediate scheme set from high to low according to the first test result corresponding to each scheme to be grouped in the intermediate scheme set;
and selecting a preset number of schemes to be grouped which are sorted at the top from the intermediate scheme set.
Specifically, the grouping rule of each scheme to be grouped is set according to the attribute rule of the target class to which the target data set belongs.
An embodiment of the present application further provides a data grouping apparatus, as shown in fig. 4, specifically including:
an obtaining module 41, configured to obtain data to be grouped, where the data to be grouped is data in a target category;
a determining module 42, configured to determine a target scheme set corresponding to the target category, where the target scheme set is a scheme set obtained by using the scheme grouping apparatus;
and a selecting module 43, configured to select one grouping scheme matching the data to be grouped from the target scheme set.
The selection module 43 is specifically configured to:
determining the priority ranking result of each grouping scheme in the target scheme set;
and selecting a grouping scheme matched with the data to be grouped from the target scheme set according to the priority sorting result.
The selection module 43 is specifically configured to:
selecting a grouping scheme with the highest priority from the target scheme set as a first grouping scheme;
detecting a triggering behavior of a user;
if the triggering behavior indicates that the first grouping scheme is the correct grouping scheme of the data to be grouped, taking the first grouping scheme as the final grouping scheme of the data to be grouped;
if the triggering behavior indicates that the first grouping scheme is the grouping scheme with the packet errors to be grouped, taking the grouping scheme with the next priority of the first grouping scheme as the first grouping scheme, and continuing to execute the step of detecting the triggering behavior of the user. An embodiment of the present application provides an electronic device, including: a memory and a processor; at least one program stored in the memory for execution by the processor, which when executed by the processor, implements: for each scheme to be grouped in the initial scheme set, testing the scheme to be grouped by using a target data set to obtain a test result, analyzing the test result to obtain a first test result of the scheme to be grouped, wherein the first test result represents the matching degree between the scheme to be grouped and the target data set, and the target data set comprises at least one group of test data sets under a target category; according to the mode, a first test result corresponding to each scheme to be grouped in the initial scheme set is obtained, then at least one scheme to be grouped is selected from the initial scheme set to form a target scheme set corresponding to a target class, and the target scheme set is used for carrying out scheme grouping on the data to be grouped under the target class. Because the test data sets in the target data sets for testing all belong to the same target class, the schemes to be grouped in the selected target scheme set can group the data of the same target class. Therefore, the method can select at least one appropriate scheme to be grouped for the test data set of the same target class so as to perform grouping operation on the grouped data, and the problem that the required scheme division rule cannot be flexibly, quickly and simply designed once the scheme division rule is fixed in the prior art is solved.
An embodiment of the present application provides an electronic device, including: a memory and a processor; at least one program stored in the memory for execution by the processor, which when executed by the processor, implements: when the data to be grouped is obtained, a target scheme set corresponding to a target class to which the data to be grouped belongs is determined, the target scheme set is obtained in the scheme grouping method, and a grouping scheme matched with the data to be grouped is selected from the target scheme set. Therefore, in the data grouping method provided by the application, a plurality of different grouping schemes can be provided for the same to-be-grouped data, and one grouping scheme is selected from the plurality of different grouping schemes to group the to-be-grouped data.
In an alternative embodiment, an electronic device is provided, as shown in fig. 5, the electronic device 4000 shown in fig. 5 comprising: a processor 4001 and a memory 4003. Processor 4001 is coupled to memory 4003, such as via bus 4002. Optionally, the electronic device 4000 may further comprise a transceiver 4004. In addition, the transceiver 4004 is not limited to one in practical applications, and the structure of the electronic device 4000 is not limited to the embodiment of the present application.
The Processor 4001 may be a CPU (Central Processing Unit), a general-purpose Processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other Programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. The processor 4001 may also be a combination that performs a computational function, including, for example, a combination of one or more microprocessors, a combination of a DSP and a microprocessor, or the like.
The Memory 4003 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical Disc storage, optical Disc storage (including Compact Disc, laser Disc, optical Disc, digital versatile Disc, blu-ray Disc, etc.), a magnetic Disc storage medium or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to these.
The memory 4003 is used for storing application codes for executing the scheme of the present application, and the execution is controlled by the processor 4001. Processor 4001 is configured to execute application code stored in memory 4003 to implement what is shown in the foregoing method embodiments.
Among them, electronic devices include but are not limited to: computers, servers, notebooks and the like.
The present application provides a computer-readable storage medium, on which a computer program is stored, which, when running on a computer, enables the computer to execute the corresponding content in the foregoing method embodiments. Compared with the prior art, for each scheme to be grouped in the initial scheme set, the target data set is used for testing the scheme to be grouped to obtain a test result, the test result is analyzed to obtain a first test result of the scheme to be grouped, the first test result represents the matching degree between the scheme to be grouped and the target data set, and the target data set comprises at least one group of test data sets under the target category; according to the mode, a first test result corresponding to each scheme to be grouped in the initial scheme set is obtained, then at least one scheme to be grouped is selected from the initial scheme set to form a target scheme set corresponding to a target class, and the target scheme set is used for carrying out scheme grouping on the data to be grouped under the target class. Because the test data sets in the target data sets for testing all belong to the same target class, the schemes to be grouped in the selected target scheme set can group the data of the same target class. Therefore, the method can select at least one appropriate scheme to be grouped for the test data set of the same target class so as to perform grouping operation on the grouped data, and the problem that the required scheme division rule cannot be flexibly, quickly and simply designed once the scheme division rule is fixed in the prior art is solved.
The present application provides a computer-readable storage medium, on which a computer program is stored, which, when running on a computer, enables the computer to execute the corresponding content in the foregoing method embodiments. Compared with the prior art, when the data to be grouped is obtained, a target scheme set corresponding to a target class to which the data to be grouped belongs is determined, the target scheme set is obtained in the scheme grouping method, and a grouping scheme matched with the data to be grouped is selected from the target scheme set. Therefore, in the data grouping method provided by the application, a plurality of different grouping schemes can be provided for the same to-be-grouped data, and one grouping scheme is selected from the plurality of different grouping schemes to group the to-be-grouped data.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless explicitly stated herein. Moreover, at least a portion of the steps in the flow chart of the figure may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
The foregoing is only a partial embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (16)
1. A method for grouping schemas, the method comprising:
for each scheme to be grouped in the initial scheme set, testing the scheme to be grouped by using a target data set to obtain a target test result, and analyzing the target test result to obtain a first test result of the scheme to be grouped, wherein the target data set comprises at least one piece of test data under a target category, and the first test result represents the matching degree between the scheme to be grouped and the target data set;
and selecting at least one scheme to be grouped from the initial scheme set according to a first test result corresponding to each scheme to be grouped in the initial scheme set to form a target scheme set corresponding to the target class, wherein the target scheme set is used for carrying out scheme grouping on the data to be grouped under the target class.
2. The method of claim 1, wherein the target data set comprises at least two test data sets, and wherein different test data sets correspond to different data partitioning schemes.
3. The method of claim 2, wherein the testing the to-be-grouped scheme by using the target data set to obtain a target test result comprises:
for each test data set in the at least two groups of test data sets, respectively testing the scheme to be grouped by using at least two test data in the test data set to obtain second test results corresponding to the at least two test data in the test data set;
and forming a target test result corresponding to the scheme to be grouped according to each obtained second test result.
4. The method according to claim 3, wherein the analyzing the target test result to obtain the first test result of the scheme to be grouped comprises:
calculating to obtain a third test result, wherein the third test result is used for representing the difference between each second test result in the target test results corresponding to the scheme to be grouped;
calculating to obtain a fourth test result, wherein the fourth test result is used for representing the difference between each second test result in the target test results corresponding to the scheme to be grouped and each second test result in the target test results corresponding to other schemes to be grouped;
and determining a first test result of the scheme to be grouped according to the third test result and the fourth test result.
5. The method according to any one of claims 1 to 4, wherein the selecting at least one scheme to be grouped from the initial scheme set according to the first test result corresponding to each scheme to be grouped in the initial scheme set comprises:
for each scheme to be grouped in the initial scheme set, if the target test result of the scheme to be grouped comprises at least one error test result of the test data, deleting the scheme to be grouped from the initial scheme set;
taking the initial scheme set after the scheme to be grouped is deleted as an intermediate scheme set;
and selecting at least one scheme to be grouped from the intermediate scheme set according to the first test result corresponding to each scheme to be grouped in the intermediate scheme set.
6. The method according to claim 5, wherein the selecting at least one scheme to be grouped from the intermediate scheme set according to the first test result corresponding to each scheme to be grouped in the intermediate scheme set includes:
according to the first test result corresponding to each scheme to be grouped in the intermediate scheme set, sequencing the schemes to be grouped in the intermediate scheme set from high to low in priority;
and selecting a preset number of schemes to be grouped which are sorted at the top from the intermediate scheme set.
7. The method according to any one of claims 1 to 4, wherein the grouping rule of each scheme to be grouped is set according to an attribute rule of a target class to which the target data set belongs.
8. A method of data grouping, the method comprising:
acquiring data to be grouped, wherein the data to be grouped is data in a target category;
determining a target scheme set corresponding to the target category, wherein the target scheme set is a scheme set obtained by adopting the method of any one of claims 1-7;
and selecting a grouping scheme matched with the data to be grouped from the target scheme set.
9. The method of claim 8, wherein the selecting one grouping scheme from the target scheme set that matches the data to be grouped comprises:
determining a priority ranking result of each grouping scheme in the target scheme set;
and selecting a grouping scheme matched with the data to be grouped from the target scheme set according to the priority sorting result.
10. The method of claim 9, wherein said selecting a grouping scheme matching the data to be grouped from the target scheme set according to the priority ordering result comprises:
selecting a grouping scheme with the highest priority from the target scheme set as a first grouping scheme;
detecting a triggering behavior of a user;
if the triggering behavior indicates that the first grouping scheme is the correct grouping scheme of the data to be grouped, taking the first grouping scheme as the final grouping scheme of the data to be grouped;
if the triggering behavior indicates that the first grouping scheme is the wrong grouping scheme of the to-be-grouped data, taking the grouping scheme of the next priority of the first grouping scheme as a first grouping scheme, and continuing to execute the step of detecting the triggering behavior of the user.
11. A solution grouping apparatus, comprising:
the test module is used for testing each scheme to be grouped in the initial scheme set by using a target data set to obtain a target test result, analyzing the target test result to obtain a first test result of the scheme to be grouped, wherein the target data set comprises at least one test data in a target category, and the first test result represents the matching degree between the scheme to be grouped and the target data set;
and the operation module is used for selecting at least one scheme to be grouped from the initial scheme set according to the first test result corresponding to each scheme to be grouped in the initial scheme set to form a target scheme set corresponding to the target class, and the target scheme set is used for carrying out scheme grouping on the data to be grouped under the target class.
12. A data packetization apparatus, comprising:
the device comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring data to be grouped, and the data to be grouped is data in a target category;
a determining module, configured to determine a target scheme set corresponding to the target category, where the target scheme set is a scheme set obtained by using the apparatus of claim 11;
and the selection module is used for selecting a grouping scheme matched with the data to be grouped from the target scheme set.
13. An electronic device, comprising:
one or more processors;
a memory;
one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to: performing the scheme grouping method of any of claims 1-7.
14. An electronic device, comprising:
one or more processors;
a memory;
one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to: performing the data grouping method according to any one of claims 8-10.
15. A computer-readable storage medium on which a computer program is stored, the program, when being executed by a processor, implementing the solution grouping method of any one of claims 1 to 7.
16. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out the data grouping method of any one of claims 8 to 10.
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