CN116646038B

CN116646038B - Method, apparatus, electronic device and storage medium for determining medical data packet

Info

Publication number: CN116646038B
Application number: CN202310363982.XA
Authority: CN
Inventors: 王佳媛; 江路; 朱东纬
Original assignee: Beijing Baidu Netcom Science and Technology Co Ltd
Current assignee: Beijing Baidu Netcom Science and Technology Co Ltd
Priority date: 2023-04-06
Filing date: 2023-04-06
Publication date: 2024-04-16
Anticipated expiration: 2043-04-06
Also published as: CN116646038A

Abstract

The application discloses a method, a device, electronic equipment and a storage medium for determining medical data grouping, relates to the technical field of computers, and particularly relates to the technical field of knowledge graphs, big data and AI medical treatment. The specific implementation scheme is as follows: when the grouping of the medical data is determined, first corresponding first codes of the diagnosis and the operation are determined according to first medical relevance of the diagnosis and second medical relevance among the operations in the medical data, then first consumption factors of each diagnosis and second consumption factors of each operation are determined according to first cost information associated with the diagnosis and second cost information associated with the operation, then first main diagnosis and other diagnosis and first main operation and other operation contained in the medical data are determined based on the first consumption factors and the second consumption factors, finally the reference grouping of the medical data is determined based on the first main diagnosis and other diagnosis and the first codes corresponding to the first main operation and other operation. Thereby, the rationality and accuracy of medical data entry into the group can be improved.

Description

Method, apparatus, electronic device and storage medium for determining medical data packet

Technical Field

The application relates to the technical field of computers, in particular to the technical field of knowledge maps, big data and AI (ARTIFICIAL INTELLIGENCE ) medical treatment, and specifically relates to a method, a device, electronic equipment and a storage medium for determining medical data grouping.

Background

DRG (Diagnosis Related Groups, disease diagnosis related group) is an important tool for measuring the quality of service efficiency of medical services and making medical insurance payments. DIP (Big Data Diagnosis Intervention, disease-based score payment) is a fuzzy mathematical approach to solve the problem of medical insurance payments, including pay-per-disease and total budget management.

With the application of DRGs and DIP in hospital medical insurance payments, there will be significant changes in the manner in which medical insurance institutions and medical institutions settle. The method is characterized in that the patient cases are grouped according to factors such as the patient severity, the treatment method complexity, complications and the like, then medical expenses are determined by taking the groups as units, and then medical institutions carry out medical insurance settlement according to the DRG/DIP payment standard and the current medical insurance payment policy.

Disclosure of Invention

The application provides a method, a device, an electronic device and a storage medium for determining medical data packets.

According to an aspect of the present application, there is provided a method of determining a medical data packet, comprising:

acquiring diagnosis, first expense information related to operation and second expense information related to operation, wherein the diagnosis and the first expense information are included in medical data to be grouped;

According to the first medical correlation between the diagnoses and the second medical correlation between the operations, carrying out coding processing on the diagnoses and the operations, and determining first codes corresponding to the diagnoses and the operations respectively;

determining a first consumption factor for each of the diagnoses and a second consumption factor for each of the operations based on the first cost information and the second cost information, respectively;

determining a first primary diagnosis, a first other diagnosis, a first primary operation, and a first other operation included in the medical data based on the first and second consumption factors;

A reference packet of the medical data is determined based on the first primary diagnosis, the first further diagnosis, the first primary operation, and a first encoding corresponding to the first further operation.

According to another aspect of the present application, there is provided an apparatus for determining a medical data packet, comprising:

A first acquisition module for acquiring a diagnosis included in medical data to be grouped, first fee information associated with the diagnosis, and second fee information associated with the operation;

The first determining module is used for carrying out coding processing on the diagnosis and the operation according to the first medical correlation between the diagnosis and the second medical correlation between the operation and determining first codes corresponding to the diagnosis and the operation respectively;

a second determining module configured to determine a first consumption factor for each of the diagnoses and a second consumption factor for each of the operations according to the first cost information and the second cost information, respectively;

A third determination module for determining a first primary diagnosis, a first other diagnosis, a first primary operation, and a first other operation included in the medical data based on the first consumption factor and the second consumption factor;

A fourth determination module for determining a reference group of the medical data based on the first primary diagnosis, the first other diagnosis, the first primary operation, and a first code corresponding to the first other operation.

According to another aspect of the present application, there is provided an electronic apparatus including:

At least one processor; and

A memory communicatively coupled to the at least one processor; wherein,

The memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of the above embodiments.

According to another aspect of the present application, there is provided a non-transitory computer-readable storage medium storing computer instructions for causing the computer to perform the method according to the above-described embodiments.

According to another aspect of the application, there is provided a computer program product comprising a computer program which, when executed by a processor, implements the steps of the method described in the above embodiments.

It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the application or to delineate the scope of the application. Other features of the present application will become apparent from the description that follows.

Drawings

The drawings are included to provide a better understanding of the present application and are not to be construed as limiting the application. Wherein:

FIG. 1 is a flow chart of a method for determining a medical data packet according to an embodiment of the present application;

FIG. 2 is a flow chart of a method for determining a medical data packet according to another embodiment of the present application;

FIG. 3 is a flow chart of a method for determining medical data packets according to another embodiment of the present application;

fig. 4 is a schematic diagram of a display interface at a prior stage according to an embodiment of the present application.

Fig. 5 is a schematic diagram of a display interface at an in-process stage according to an embodiment of the present application.

FIG. 6 is a schematic diagram of an apparatus for determining medical data packets according to an embodiment of the present application;

Fig. 7 is a block diagram of an electronic device for implementing a method of determining medical data packets according to an embodiment of the application.

Detailed Description

Exemplary embodiments of the present application will now be described with reference to the accompanying drawings, in which various details of the embodiments of the present application are included to facilitate understanding, and are to be considered merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

The method for determining the medical data packet in the embodiment of the present application may be performed by the apparatus for determining the medical data packet in the embodiment of the present application, where the apparatus may be configured in an electronic device or may be configured in a mobile terminal, which is not limited thereto. The present embodiment takes as an example that the method of determining a medical data group is configured in a system of determining a medical data group to realize grouping of medical data of a target object.

The electronic device may be any device with computing capability, for example, may be a personal computer, a mobile terminal, a server, and the like, and the mobile terminal may be a mobile phone, a tablet computer, a personal digital assistant, and other hardware devices with various operating systems, touch screens, and/or display screens.

Methods, apparatuses, electronic devices, and storage media for determining medical data packets according to embodiments of the present application are described below with reference to the accompanying drawings. Fig. 1 is a flowchart of a method for determining a medical data packet according to an embodiment of the present application

As shown in fig. 1, the method of determining a medical data packet includes:

Step 101, acquiring diagnosis, operation, first expense information related to diagnosis and second expense information related to operation, which are included in medical data to be grouped.

The "operation" in the present application may also be referred to as "operation and procedure", or "operation", etc.

In some possible implementations, the content contained in the medical data may be different in different scenarios, such as in a "pre-charge reminder" stage, the medical data may contain a medical records first page, full medical records, and medical charge details, a medical insurance statement, and in a "pre-charge monitor" stage, the medical data may contain a medical records first page, full medical records, medical charge details, and medical insurance statement, etc.

The first page of the medical records is the concentration of the most important content of the whole inpatient case, is the first page of the whole medical records, and can contain basic information of patients, admission and discharge records, drug allergy information, diagnosis information, operation information and the like. In addition, in the stage of 'charge control reminding in advance', the medical records top page refers to a doctor-end medical records top page, and in the stage of 'charge control monitoring in advance', the medical records top page is a medical records top page of a medical records department.

It should be noted that, the system for determining medical data packets may perform natural language processing on the first page and/or the whole medical record in the medical data to obtain the diagnosis information and the operation information contained in the first page and/or the whole medical record, and determine the first expense information associated with diagnosis and the second expense information associated with operation in combination with the medical expense details and/or the medical insurance statement, etc., which is not limited in this application.

Step 102, according to the first medical correlation between the diagnoses and the second medical correlation between the operations, the diagnoses and the operations are processed by coding, and the first codes corresponding to the diagnoses and the operations are determined.

The medical relevance may be a system for determining medical data groupings, determined according to medical principles, medical insurance policies, etc. In the system for determining the medical data grouping, the first medical relevance among the diagnoses and the second medical relevance among the operations in the current medical data can be calculated in real time based on the association relation among the diagnoses and the association relation among the operations in the medical principle. Or the system for determining the medical data grouping can also generate a correlation table between each diagnosis and each operation based on a medical principle in advance, and then directly inquire the correlation table when grouping to determine the first medical correlation between each diagnosis and the second medical correlation between each operation in the current medical data.

In some possible implementations, the encoding process may include at least one of merging, splitting, and complementary encoding.

The diagnosis and operation are supplemented, namely, diagnosis and operation of missed diagnosis or operation in medical data are supplemented, for example, diseases or operation related to long texts in course records are missed in a first page of a medical record.

Combining diagnosis and operation means combining a plurality of diagnosis or operation in medical data into one diagnosis or operation and determining the combined diagnosis or operation code; splitting and encoding a diagnosis and an operation refers to splitting one diagnosis or one operation in medical data into a plurality of diagnoses or a plurality of operations, and determining the encoding of the split diagnosis and operation. For example, a system that determines a medical grouping may jointly encode at least two diagnoses having a first medical relevance greater than a first threshold; or split-encoding a diagnosis in which the first medical correlation between at least two parts of the diagnosis is less than a second threshold; or at least two operations with a second medical relevance greater than a third threshold are jointly encoded; or split-encoding an operation in which the second medical correlation between at least two parts of the one operation is less than a fourth threshold.

The first threshold value, the second threshold value, the third threshold value, and the fourth threshold value may be different values, or may be partially the same value, or the like, which is not limited in the present application. The four thresholds may be preset by a system for determining medical grouping according to a medical principle, a medical insurance policy, and the like, and diagnosis and operation are split-coded or combined-coded based on the thresholds, so that the determined first codes corresponding to the diagnosis and operation are more accurate and meet medical and medical insurance requirements.

For example, when two diagnoses in the patient medical data are renal failure and hypertensive nephropathy, according to the medical correlation, it is known that the correlation between the two diagnoses is accompanied, that is, the hypertensive nephropathy is accompanied by renal failure, and thus it can be determined that the first medical correlation between the two diagnoses is greater than the first threshold, and the two diagnoses can be combined and encoded. Or when one of the patient medical data is diagnosed as traumatic subdural hemorrhage with head crush injury, two parts of diagnosis in the diagnosis, namely the traumatic subdural hemorrhage and the head crush injury, can be known according to the medical relevance, the first medical relevance between the two parts is smaller than a first threshold value, the diagnosis can be split and coded, and the like, and the application is not limited to the diagnosis.

In some possible implementations, the system for determining the medical data packet not only can make the determined code more accurate, but also provides basis and conditions for determining a better packet of medical data by performing code merging or code splitting on the diagnosis and operation according to the first medical correlation between the diagnosis and the second medical correlation between the operations and then determining the first codes respectively corresponding to the diagnosis and operation.

Step 103, determining a first consumption factor of each diagnosis and a second consumption factor of each operation according to the first cost information and the second cost information respectively.

The consumption factor refers to the degree of consumption of medical resources by each diagnosis and operation, and is expressed as a consumption ratio in the total cost of medical treatment. Generally, the higher the cost of diagnosis or operation, the greater the corresponding consumption factor.

In some possible implementations, the system for determining the medical data packet may determine a respective duty cycle of the diagnostic fee and the operational fee in the total fee associated with the medical data based on the diagnostic-associated first fee information and the operational-associated second fee information in the medical data, and then determine a first consumption factor for each diagnostic and a second consumption factor for each operation based on the respective duty cycles.

For example, if the medical data of a patient includes diagnosis a, diagnosis B, operation C, operation D, etc., and the cost of diagnosis a is 33% of the total cost, the cost of diagnosis B is 15% of the total cost, the cost of operation C is 27% of the total cost, and the cost of operation D is 20% of the total cost, it is possible that the first consumption factor of diagnosis a is 0.33, the first consumption factor of diagnosis B is 0.15, the second consumption factor of operation C is 0.27, and the second consumption factor of operation D is 0.2.

Step 104, determining a first primary diagnosis, a first other diagnosis, a first primary operation, and a first other operation included in the medical data based on the first consumption factor and the second consumption factor.

In some possible implementations, the system for determining the medical data packet may determine the diagnosis corresponding to the largest first consumption factor as the first primary diagnosis, the diagnosis other than the first primary diagnosis as the first other diagnosis, and then determine the operation corresponding to the largest second consumption factor as the first primary operation, the diagnosis other than the first primary operation as the first other operation.

Taking the above example as an example, after obtaining the first consumption factor and the second consumption factor, the system for determining the medical data packet may determine the first main diagnosis, the first other diagnosis, the first main operation and the first other operation by comparing the magnitudes of the consumption factors, for example, comparing the consumption factors of the diagnosis a and the diagnosis B, 0.33>0.15, and may determine the diagnosis a as the first main diagnosis and the diagnosis B as the first other diagnosis; and comparing the consumption factors of the operation C and the operation D, namely 0.27>0.2, the operation C can be determined to be the first main operation, the operation D can be determined to be the first other operation, and the like, which is not limited by the application.

Step 105, determining a reference packet of medical data based on the first primary diagnosis, the first further diagnosis, the first primary operation, and the first code corresponding to the first further operation.

The reference grouping of the medical data refers to the grouping of the medical data, which is predetermined based on the medical data grouping method provided by the embodiment of the application before the medical data is reported to the medical insurance bureau.

In some possible implementation forms, after determining the first main diagnosis, the first other diagnosis, the first main operation and the first other operation, the system for determining the medical data packet may determine the reference packet of the medical data according to the grouping rules in the DRG and DIP disease diagnosis related packets based on the first codes corresponding to the first main diagnosis, the first other diagnosis, the first main operation and the first other operation, respectively, so as to ensure that the determined reference packet meets the medical insurance requirement, and provide basis and condition for operation and management of the medical institution.

For example, a patient may be determined to have a group of BB19 (brain trauma craniotomy) according to CHS-DRG (national medical insurance disease diagnosis-related group) and payment specifications, with a brain contusion (code information: S06.202) as a main diagnosis result and a meningotomy (code information: 01.3107) as a main operation.

In the embodiment of the application, a system for determining medical data grouping firstly acquires diagnosis, operation and cost information included in medical data, then performs merging or splitting treatment on codes of each diagnosis and operation according to medical relevance to obtain codes corresponding to each diagnosis or operation after treatment, then obtains consumption factors of each diagnosis and consumption factors of each operation according to the cost information of the diagnosis and operation, then determines main diagnosis in the medical data by the diagnosis corresponding to the largest first consumption factor, determines operation corresponding to the largest second consumption factor as main operation in the medical data, and then determines reference grouping of the medical data according to the main diagnosis, other diagnoses, codes corresponding to the main operation and other operations. According to the application, the medical data is encoded and pre-grouped based on the medical relevance and the consumption factor, so that the determined reference group meets the medical insurance requirement, and the rationality and accuracy of the encoding and the grouping of the medical data are improved.

Fig. 2 is a flow chart of a method for determining a medical data packet according to another embodiment of the present application.

As shown in fig. 2, the method of determining a medical data packet includes:

Step 201, acquiring first fee information related to diagnosis and operation diagnosis and second fee information related to operation, which are included in medical data to be grouped.

Step 202, according to the first medical correlation between the diagnoses and the second medical correlation between the operations, the diagnoses and the operations are processed by coding, and the first codes corresponding to the diagnoses and the operations are determined.

Step 203, determining a first consumption factor of each diagnosis and a second consumption factor of each operation according to the first cost information and the second cost information.

The specific implementation manners of the foregoing steps 201 to 203 may refer to the detailed description of any embodiment of the present application, which is not repeated herein.

In step 204, in the case that there are a plurality of diagnoses corresponding to the largest first consumption factor, an operation corresponding to the largest second consumption factor is determined as a first main operation, and one diagnosis having the largest medical relevance to the third medical science between the main operations is determined as the first main diagnosis.

In some possible implementations, the diagnosis corresponding to the largest first consumption factor may be more than one, and the operation corresponding to the largest second consumption factor is unique, and thus the system for determining the medical data packet may determine the operation corresponding to the largest second consumption factor as the first primary operation and the one diagnosis having the largest medical relevance to the third primary operation as the first primary diagnosis.

For example, the medical data includes a diagnosis a, a diagnosis B, a diagnosis C, and an operation M and an operation N, wherein the first consumption factors corresponding to the diagnosis a and the diagnosis B are the same and larger than the first consumption factor corresponding to the diagnosis C, and the second consumption factor corresponding to the operation M is larger than the second consumption factor corresponding to the operation N. If the third medical correlation between diagnosis B and operation M is greater than the third medical correlation between diagnosis a and operation M, diagnosis B may be determined to be the first primary diagnosis.

In step 205, in case there are a plurality of operations corresponding to the largest second consumption factor, the diagnosis corresponding to the largest first consumption factor is determined as the first main diagnosis, and one operation having the largest third medical relevance to the main diagnosis is determined as the first main operation.

In some possible implementations, the operation corresponding to the largest second consumption factor may be more than one, and the diagnosis corresponding to the largest first consumption factor is unique, and thus the system for determining the medical data packet may determine the diagnosis corresponding to the largest first consumption factor as the first primary diagnosis and the one operation having the largest third medical relevance to the primary diagnosis as the first primary operation.

For example, the medical data includes a diagnosis D, a diagnosis E, an operation O, an operation P, and an operation Q, wherein the second consumption factors corresponding to the operation O and the operation P are the same and greater than the second consumption factor corresponding to the operation Q, and the first consumption factor corresponding to the diagnosis D is greater than the first consumption factor corresponding to the diagnosis E. If the third medical correlation between operation O and diagnosis D is greater than the third medical correlation between operation P and diagnosis D, operation O may be determined to be the first primary operation.

Step 206, determining a third medical relevance between the plurality of diagnoses and the plurality of operations respectively, in the case that there are a plurality of diagnoses corresponding to the maximum first consumption factor and a plurality of operations corresponding to the maximum second consumption factor; the diagnosis and operation corresponding to the largest third medical relevance are determined as the first main diagnosis and the first main operation, respectively.

In some possible implementations, the diagnosis corresponding to the largest first consumption factor may be more than one operation corresponding to the largest second consumption factor, and thus, the system for determining the medical data packet may first determine a third medical relevance between the plurality of diagnoses and the plurality of operations, respectively, and then determine the diagnosis and operation corresponding to the largest third medical relevance as the first primary diagnosis and the first primary operation, respectively.

For example, the medical data includes a diagnosis F, a diagnosis G, a diagnosis H, an operation R, an operation S, and an operation T, wherein the first consumption factors corresponding to the diagnosis F and the diagnosis G are the same and larger than the first consumption factor corresponding to the diagnosis H, the second consumption factors corresponding to the operation R and the operation S are the same and larger than the second consumption factor corresponding to the operation T, and at this time, a third medical correlation between the diagnosis F and the operation R, between the diagnosis F and the operation S, between the diagnosis G and the operation R, and between the diagnosis G and the operation S can be determined. If the third medical correlation between the diagnosis G and the operation R is the largest, the diagnosis G may be determined as the first main diagnosis and the operation R may be determined as the first main operation.

Step 207 determines a reference packet of medical data based on the first primary diagnosis, the first further diagnosis, the first primary operation and the first code corresponding to the first further operation.

The specific implementation manner of step 207 may refer to the detailed description of any embodiment of the present application, and will not be repeated here.

In the embodiment of the application, a system for determining medical data grouping firstly acquires diagnosis, operation and cost information included in medical data, then performs merging or splitting treatment on codes of each diagnosis and operation according to medical relevance to obtain codes corresponding to each diagnosis or operation after treatment, then obtains consumption factors of each diagnosis and each operation according to the cost of the diagnosis and operation, then determines main diagnosis and main operation in the medical data according to the number of diagnoses corresponding to the maximum first consumption factors, the number of operations corresponding to the maximum second consumption factors and medical relevance between the diagnoses and the operations, and then determines reference grouping of the medical data according to the codes corresponding to the main diagnosis, other diagnoses, main operation and other operations. According to the application, the main diagnosis and main operation of the medical data are determined based on the medical relevance and the consumption factors, so that the determined reference group meets the medical insurance requirement, and the rationality and accuracy of the medical data coding into the group are further improved.

Fig. 3 is a flowchart of a method for determining a medical data packet according to another embodiment of the present application.

As shown in fig. 3, the method of determining a medical data packet includes:

Step 301, acquiring first cost information associated with diagnosis and operation diagnosis and second cost information associated with operation, which are included in medical data to be grouped.

Step 302, performing encoding processing on the diagnosis and the operation according to the first medical correlation between the diagnoses and the second medical correlation between the operations, and determining the first codes corresponding to the diagnosis and the operation respectively.

Step 303, determining a first consumption factor of each diagnosis and a second consumption factor of each operation according to the first cost information and the second cost information respectively.

Step 304 determines a first primary diagnosis, a first further diagnosis, a first primary operation, and a first further operation included in the medical data based on the first consumption factor and the second consumption factor.

Step 305, determining a reference packet of medical data based on the first primary diagnosis, the first further diagnosis, the first primary operation and the first code corresponding to the first further operation.

The specific implementation manners of the steps 301 to 305 may refer to the detailed description of any embodiment of the present application, which is not repeated here.

Step 306, after receiving the packet viewing instruction, presenting the reference packet of medical data on the display interface.

The display interface may be a display interface of a doctor electronic device, or may be a display interface of a medical science electronic device, etc., which is not limited in the present application.

In some possible implementations, the system for determining a medical data packet may simultaneously display current estimated payment criteria when presenting a reference packet of medical data. For example, the system for determining the medical data group may first determine the weight of the reference group of the medical data and the region information to which the medical data belongs, then determine the rate and the cost coefficient according to the region information to which the medical data belongs, determine the current estimated payment standard of the medical data based on the weight, the rate and the cost coefficient, and then present the reference group of the medical data and the current estimated payment standard on the display interface.

Wherein, the weight of the reference packet is specified by DRG/DIP, and different packets correspond to different weights. The rate/point value is determined by the region in which the medical institution is located and represents what amount each weight/score is. The cost factor/rating factor is determined by the rating of the medical facility. Estimated payment criteria, in general, the calculation formula is estimated payment criteria = weight/score × rate/point value × cost factor/rating factor.

The rate/point value and the cost coefficient/rank coefficient of the medical payment may be different depending on the region information to which the medical data belongs. The area information to which the medical data belongs may include a medical institution level from which the medical data originates, and the like. For example, the cost factor/rating factor of a tertiary medical facility is generally higher than the cost factor/rating factor of a secondary medical facility.

After receiving the grouping checking instruction, the system for determining the medical data grouping can firstly determine the region information of the medical data, determine the weight/score, the rate/point value and the cost coefficient/grade coefficient of the reference grouping of the medical data, then calculate the current estimated payment standard of the medical data based on the weight/score, the rate/point value and the cost coefficient/grade coefficient of the reference grouping, and then display the reference grouping of the medical data and the current estimated payment standard on a display interface.

In some possible implementations, the medical data may be medical data of a pre-charge-control alert stage or medical data of a pre-charge-control monitoring stage, and the functions presented by the system for determining the medical groupings on the display interface may be different for different stages of medical data.

For example, in the case where the medical data is medical data in a prior stage, the system for determining the medical data group may sort the diagnoses in the medical data based on the first consumption factor, generate a diagnosis reference sequence, sort the operations in the medical data based on the second consumption factor, generate an operation reference sequence, and then present the diagnosis reference sequence, the operation reference sequence, and the reference group on the display interface after receiving the group viewing instruction.

The advanced stage is a stage of medical action of a doctor on a patient, so that medical data can be updated in real time in the medical treatment process in the advanced stage, and therefore, the system for determining medical data grouping can provide functions of diagnosis and operation sequencing recommendation, medical data reference grouping recommendation, current expense consumption condition and the like for the doctor in real time on a doctor side display interface.

For easy understanding, fig. 4 is a schematic diagram of a display interface at a prior stage according to an embodiment of the present application.

As shown in fig. 4, in a pre-stage, the system for determining medical data grouping may implement diagnostic ordering recommendation, operational ordering recommendation, grouping prediction functions, and when the "charge control reminder" control is selected, the display interface may display information such as "grouping prediction", "operation and operational ordering recommendation", "diagnostic ordering recommendation", etc. as shown in fig. 4. As shown in fig. 4, if "group prediction" is selected, the reference group of ordered groups based on the diagnosis ordering recommendation and the surgical and operational ordering recommendation may be displayed in the display interface. Wherein AAAA1 represents a reference group determined by the system for determining a medical data group based on the diagnostic ordering recommendation and the ordered set of surgical and operational ordering recommendations. At this time, in the display interface, information about "payment consumption progress" determined based on the reference packet may also be displayed.

It should be noted that the display interface shown in fig. 4 is only a schematic illustration, and is not intended as a limiting illustration of the method of determining medical data packets provided by the present application.

Or in the case that the medical data is medical data in a middle stage, the system for determining the medical data packet may determine a second main diagnosis indicated by the medical data, a second other diagnosis, a second main operation, and a second code corresponding to the second other operation, and then determine an initial packet of the medical data according to the second main diagnosis, the second other diagnosis, the second main operation, and the second code corresponding to the second other operation, and then determine estimated payment standards corresponding to the reference packet and the initial packet, respectively, after receiving the packet viewing instruction, and finally display the estimated payment standards corresponding to the reference packet and the initial packet, respectively, on a display interface.

In the application, the in-process stage refers to a stage of determining medical data grouping by the medical department according to the determined medical data after the medical action is finished under the condition of meeting the medical standard and the medical insurance policy requirement. The initial grouping refers to that a doctor determines main diagnosis and main operation according to own experience in the medical treatment process, codes the diagnosis and the operation, and then groups according to the codes, so that the initial grouping may have the conditions of missed codes, inaccurate codes and the like, and therefore, the initial grouping may not be the grouping of the highest estimated payment standard, and then a system for determining the medical data grouping can respectively display the reference grouping and the estimated payment standard corresponding to the initial grouping on a display interface, and visually compare the estimated payment standards of all the groups so as to realize that medical data enters the grouping of the higher payment standard.

For easy understanding, fig. 5 is a schematic diagram of a display interface at an in-process stage according to an embodiment of the present application.

As shown in fig. 5, in the event phase, the system for determining the medical data packet may implement functions such as recommending a better group of medical data, and when the "charge control detection" control is selected, the display interface may display information such as "better group" as shown in fig. 5. As shown in fig. 5, if the "preferred group" is selected, the initial group and each determined reference group, and the estimated payment criteria corresponding to each reference group may be displayed in the display interface. Wherein the current group DDDD1 is an initial group determined by the system that determines the medical group from the medical data; the better group DDDD2 is a better group in the reference groups determined by the system for determining the medical data groups according to the estimated payment standard of each reference group; the recommended groups DDDD3, DDDD4, and the like are reference packets other than the preferred group in the case where there are a plurality of reference packet results.

It should be noted that the display interface shown in fig. 5 is only a schematic illustration, and is not intended as a limiting illustration of the method of determining medical data packets provided by the present application.

In the embodiment of the application, a system for determining medical data grouping firstly acquires diagnosis, operation and cost information included in medical data, then performs merging or splitting treatment on codes of each diagnosis and operation according to medical relevance to obtain codes corresponding to each diagnosis or operation after treatment, then obtains consumption factors of each diagnosis and consumption factors of each operation according to the cost of the diagnosis and operation, then determines main diagnosis and main operation in the medical data according to the size of the consumption factors, then determines reference grouping of the medical data according to the codes corresponding to the main diagnosis, other diagnosis, main operation and other operation, and displays diagnosis and operation reference sequences, reference grouping and current estimated payment standards of the medical data on a display page after receiving a grouping checking instruction. By visually presenting the diagnosis and operation reference sequence, the reference group and the current estimated payment standard on the display page, the method not only facilitates doctors and medical records to analyze cases in real time and pay for medical treatment estimated, but also improves the rationality and accuracy of medical data in-package.

As shown in fig. 6, the means 60 for determining a medical data packet comprises:

a first acquiring module 601, configured to acquire first fee information associated with diagnosis and operation diagnosis and second fee information associated with operation, which are included in medical data to be grouped;

a first determining module 602, configured to perform encoding processing on the diagnosis and the operation according to the first medical correlation between the diagnoses and the second medical correlation between the operations, and determine first encodings corresponding to the diagnosis and the operation respectively;

a second determining module 603, configured to determine a first consumption factor of each diagnosis and a second consumption factor of each operation according to the first cost information and the second cost information, respectively;

a third determining module 604 for determining a first primary diagnosis, a first other diagnosis, a first primary operation, and a first primary operation included in the medical data based on the first consumption factor and the second consumption factor;

a fourth determination module 605 is configured to determine a reference packet of medical data based on the first primary diagnosis, the first further diagnosis, the first primary operation, and a first code corresponding to the first primary operation.

In one possible implementation manner of the embodiment of the present application, the first determining module 602 includes:

the processing module 606 is configured to combine the codes, split the codes, and supplement the codes.

In one possible implementation manner of the embodiment of the present application, the processing module includes at least one of the following:

A first merging unit for merging encoding at least two diagnoses having a first medical relevance greater than a first threshold;

A first splitting unit for splitting and encoding a diagnosis in which a first medical correlation between at least two parts of the diagnosis is smaller than a second threshold;

a second merging unit for merging and encoding at least two operations for which the second medical relevance is greater than a third threshold;

And the second splitting unit is used for splitting and encoding one operation, wherein the second medical relevance between at least two parts of one operation is smaller than a fourth threshold value.

In one possible implementation manner of the embodiment of the present application, the second determining module 603 includes:

and the first determining unit is used for determining a first diagnosis consumption factor and a second operation consumption factor according to the proportion of the first expense information and the second expense information in the total expense related to the medical data respectively.

In one possible implementation manner of the embodiment of the present application, the third determining module 604 includes:

and a second determining unit configured to determine a diagnosis corresponding to the largest first consumption factor as a first main diagnosis and determine an operation corresponding to the largest second consumption factor as a first main operation.

In one possible implementation manner of the embodiment of the present application, the third determining module 604 further includes:

And a third determination unit configured to determine, in a case where there are a plurality of diagnoses corresponding to the largest first consumption factor, an operation corresponding to the largest second consumption factor as a first main operation, and determine, as the first main diagnosis, one diagnosis having the largest third medical relevance with respect to the main operation.

and a fourth determining unit configured to determine, in a case where there are a plurality of operations corresponding to the largest second consumption factor, a diagnosis corresponding to the largest first consumption factor as a first main diagnosis, and determine, as the first main operation, one operation having the largest third medical relevance to the main diagnosis.

a fifth determining unit configured to determine a third medical correlation between the plurality of diagnoses and the plurality of operations, respectively, in a case where there are a plurality of diagnoses corresponding to the largest first consumption factor and a plurality of operations corresponding to the largest second consumption factor;

a sixth determining unit for determining the diagnosis and operation corresponding to the largest third medical relevance as the first main diagnosis and the first main operation, respectively.

In one possible implementation manner of the embodiment of the present application, after the fourth determining module 405, the method includes:

the display module 607 is configured to present the reference group of the medical data on the display interface after receiving the group viewing instruction.

In one possible implementation manner of the embodiment of the present application, the display module 607 includes:

A seventh determining unit configured to determine a weight of a reference packet of the medical data, and area information to which the medical data belongs;

an eighth determining unit, configured to determine a rate and a cost coefficient according to the region information to which the medical data belongs;

A ninth determining unit for determining a current estimated payment criterion of the medical data based on the weight/score, the rate/point value and the cost coefficient/grade coefficient;

and the first display unit is used for displaying the reference group of the medical data and the current estimated payment standard on the display interface.

In one possible implementation manner of the embodiment of the present application, in a pre-stage, the display module 607 includes:

A first generation unit configured to, in a case where the medical data is medical data of a pre-stage, sort diagnoses in the medical data based on a first consumption factor, and generate a diagnosis reference sequence;

a second generation unit configured to sort operations in the medical data based on a second consumption factor, and generate an operation reference sequence;

and the second display unit is used for presenting the diagnosis reference sequence, the operation reference sequence and the reference group on the display interface after receiving the group checking instruction.

In one possible implementation manner of the embodiment of the present application, in a middle stage, the display module 607 includes:

A tenth determination unit configured to determine, in a case where the medical data is medical data of an in-matter stage, second main diagnoses, second other diagnoses, second main operations, and second other manipulations indicated by the medical data, respectively corresponding second codes;

an eleventh determination unit for determining an initial grouping of medical data for a second code corresponding to the second main diagnosis, the second other diagnosis, the second main operation, and the second other manipulation, respectively;

and the third display unit is used for respectively presenting the reference packet and the initial packet on the display interface after receiving the packet viewing instruction.

A twelfth determining unit, configured to determine a reference packet and an initial packet, which respectively correspond to estimated payment criteria;

And the fourth display unit is used for displaying estimated payment standards corresponding to the reference group and the initial group on the display interface respectively.

It should be noted that the explanation of the foregoing embodiment of the method for determining a medical data packet is also applicable to the apparatus for determining a medical data packet in this embodiment, and thus will not be repeated herein.

In the embodiment of the application, a system for determining medical data grouping firstly acquires diagnosis, operation and cost information included in medical data, then performs merging or splitting treatment on codes of each diagnosis and operation according to medical relevance to obtain codes corresponding to each diagnosis or operation after treatment, then obtains consumption factors of each diagnosis and consumption factors of each operation according to the cost information of the diagnosis and operation, then determines main diagnosis in the medical data by using the diagnosis corresponding to the largest first consumption factor, determines operation corresponding to the largest second consumption factor as main operation in the medical data, then determines reference grouping of the medical data according to the main diagnosis, other diagnosis, main operation and codes corresponding to other operations, and displays a diagnosis reference sequence, an operation reference sequence and estimated payment standards corresponding to the initial grouping on a display page, thereby not only ensuring that the determined reference grouping accords with medical protection requirements, but also improving rationality and accuracy of the medical data encoding into the group.

According to embodiments of the present application, the present application also provides an electronic device, a readable storage medium and a computer program product.

Fig. 7 shows a schematic block diagram of an example electronic device 800 that may be used to implement an embodiment of the application. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular telephones, smartphones, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the applications described and/or claimed herein.

As shown in fig. 7, the apparatus 800 includes a computing unit 801 that can perform various appropriate actions and processes according to a computer program stored in a ROM (read-only memory) 802 or a computer program loaded from a storage unit 808 into a RAM (Random Access Memory ) 803. In the RAM 803, various programs and data required for the operation of the device 800 can also be stored. The computing unit 801, the ROM 802, and the RAM 803 are connected to each other by a bus 804. An I/O (Input/Output) interface 805 is also connected to bus 804.

Various components in device 800 are connected to I/O interface 805, including: an input unit 806 such as a keyboard, mouse, etc.; an output unit 807 such as various types of displays, speakers, and the like; a storage unit 808, such as a magnetic disk, optical disk, etc.; and a communication unit 809, such as a network card, modem, wireless communication transceiver, or the like. The communication unit 809 allows the device 800 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.

The computing unit 801 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of computing unit 801 include, but are not limited to, a CPU (Central Processing Unit ), a GPU (Graphic Processing Units, graphics processing unit), various specialized AI (ARTIFICIAL INTELLIGENCE ) computing chips, various computing units running machine learning model algorithms, DSPs (DIGITAL SIGNAL processor ), and any suitable processor, controller, microcontroller, etc. The computing unit 801 performs the various methods and processes described above, such as the method of determining medical data packets. For example, in some embodiments, the method of determining a medical data packet may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as the storage unit 808. In some embodiments, part or all of the computer program may be loaded and/or installed onto device 800 via ROM 802 and/or communication unit 809. When the computer program is loaded into RAM 803 and executed by computing unit 801, one or more steps of the method of determining a medical data packet described above may be performed. Alternatively, in other embodiments, the computing unit 801 may be configured to perform the method of determining the medical data packet by any other suitable means (e.g. by means of firmware).

Various implementations of the systems and techniques described here above can be implemented in digital electronic circuitry, integrated circuit system, FPGA (Field Programmable GATE ARRAY ), ASIC (application-SPECIFIC INTEGRATED circuit, application-specific integrated circuit), ASSP (application SPECIFIC STANDARD product, application-specific standard product), SOC (system On chip ), CPLD (Complex Programmable Logic Device, complex programmable logic device), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.

Program code for carrying out methods of the present application may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus such that the program code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be implemented. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of the present application, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, RAM, ROM, EPROM (ELECTRICALLY PROGRAMMABLE READ-only-memory, erasable programmable read-only memory) or flash memory, an optical fiber, a CD-ROM (Compact Disc Read-only memory), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., CRT (Cathode-Ray Tube) or LCD (Liquid CRYSTAL DISPLAY) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: LAN (Local Area Network ), WAN (Wide Area Network, wide area network), internet and blockchain networks.

The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so as to solve the defects of high management difficulty and weak service expansibility in the traditional physical hosts and Virtual service (Virtual PRIVATE SERVER, virtual special servers). The server may also be a server of a distributed system or a server that incorporates a blockchain.

According to an embodiment of the present application, the present application also provides a computer program product, which when executed by an instruction processor in the computer program product, performs the method of determining a medical data packet set forth in the above embodiment of the present application.

It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present application may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution disclosed in the present application can be achieved, and are not limited herein.

In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

The above embodiments do not limit the scope of the present application. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application should be included in the scope of the present application.

Claims

1. A method of determining a medical data packet, the method comprising:

Acquiring diagnosis, operation and first expense information related to the diagnosis and second expense information related to the operation, which are included in medical data to be grouped; the medical data includes at least one of: the medical records of the first page, the whole medical record, the medical expense details and the medical insurance settlement table; the operation includes surgery;

combining and encoding at least two diagnoses with a first medical relevance greater than a first threshold value among the diagnoses, and determining a first code corresponding to the diagnoses; or alternatively

Splitting and encoding a diagnosis of which the first medical relevance between at least two parts in the diagnosis is smaller than a second threshold value, and determining a first code corresponding to the diagnosis; or alternatively

Combining and encoding at least two operations with second medical relevance greater than a third threshold value among the operations, and determining a first code corresponding to the operations; or alternatively

Splitting and encoding one operation of which the second medical relevance between at least two parts is smaller than a fourth threshold value, and determining a first code corresponding to the operation;

Determining a first consumption factor of the diagnosis and a second consumption factor of the operation according to the duty ratio of the first cost information and the second cost information in the total cost related to the medical data respectively; the consumption factor represents the degree of consumption of medical resources by each of the diagnoses and the operations;

Determining a first primary diagnosis, a first further diagnosis, a first primary operation, and a first further operation included in the medical data based on the first and second consumption factors;

Determining a reference packet of the medical data based on the first primary diagnosis, the first further diagnosis, the first primary operation, and a first code corresponding to the first further operation;

the determining a first primary diagnosis, a first other diagnosis, a first primary operation, and a first other operation included in the medical data based on the first and second consumption factors includes:

determining a diagnosis corresponding to the largest first consumption factor as a first primary diagnosis, and determining other diagnoses as first other diagnoses; determining an operation corresponding to the largest second consumption factor as a first main operation, and determining other operations as first other operations; wherein the first other diagnosis includes a diagnosis other than the first primary diagnosis, and the first other operation includes an operation other than the first primary operation.

2. The method of claim 1, wherein the encoding process comprises at least one of: merging coding, splitting coding and complementary coding.

3. The method of claim 1, wherein the diagnosis corresponding to the largest first consumption factor is determined as a first primary diagnosis and the other diagnoses are determined as first other diagnoses; determining the operation corresponding to the largest second consumption factor as the first primary operation and the other operations as the first other operations, including:

in case there are a plurality of diagnoses corresponding to the largest first consumption factor, an operation corresponding to the largest second consumption factor is determined as a first main operation, and one diagnosis having the largest medical relevance to the third medical science between the main operations is determined as the first main diagnosis.

4. The method of claim 1, wherein the diagnosis corresponding to the largest first consumption factor is determined as a first primary diagnosis and the other diagnoses are determined as first other diagnoses; determining the operation corresponding to the largest second consumption factor as the first primary operation and the other operations as the first other operations, including:

In case there are a plurality of operations corresponding to the largest second consumption factor, the diagnosis corresponding to the largest first consumption factor is determined as the first main diagnosis, and one operation having the largest third medical relevance to the main diagnosis is determined as the first main operation.

5. The method of claim 1, wherein the diagnosis corresponding to the largest first consumption factor is determined as a first primary diagnosis and the other diagnoses are determined as first other diagnoses; determining the operation corresponding to the largest second consumption factor as the first primary operation and the other operations as the first other operations, including:

Determining a third medical relevance between the plurality of diagnoses and the plurality of operations, respectively, in case there are a plurality of diagnoses corresponding to the largest first consumption factor and a plurality of operations corresponding to the largest second consumption factor;

the diagnosis and operation corresponding to the largest third medical relevance are determined as the first main diagnosis and the first main operation, respectively.

6. The method of any of claims 1-5, wherein after said determining the reference packet of medical data, further comprising:

and after receiving the grouping checking instruction, presenting the reference grouping of the medical data on a display interface.

7. The method of claim 6, wherein the presenting the reference groupings of medical data on a display interface comprises:

determining the weight of the reference group of the medical data and the area information of the medical data;

Determining a rate and a cost coefficient according to the region information of the medical data;

Determining a current estimated payment criterion for the medical data based on the weights, rates, and cost coefficients;

and presenting the reference group of the medical data and the current estimated payment standard on a display interface.

8. The method of claim 6, further comprising:

Ordering diagnoses in the medical data based on the first consumption factor to generate a diagnosis reference sequence when the medical data is the medical data of the advance stage;

Sorting operations in the medical data based on the second consumption factor, generating an operation reference sequence;

and after receiving the grouping checking instruction, presenting the diagnosis reference sequence, the operation reference sequence and the reference grouping on the display interface.

9. The method of claim 6, further comprising:

determining a second main diagnosis, a second other diagnosis, a second main operation and a second other operation respectively corresponding to a second code indicated by the medical data when the medical data is the medical data of the in-process stage;

Determining an initial grouping of the medical data according to the second codes respectively corresponding to the second main diagnosis, the second other diagnosis, the second main operation and the second other operation;

And after receiving a packet checking instruction, respectively presenting the reference packet and the initial packet on the display interface.

10. The method of claim 9, further comprising:

determining estimated payment standards corresponding to the reference packet and the initial packet respectively;

And respectively displaying estimated payment standards corresponding to the reference group and the initial group on the display interface.

11. An apparatus for determining a medical data packet, the apparatus comprising:

A first acquisition module for acquiring diagnosis, operation, first fee information associated with the diagnosis and second fee information associated with the operation included in medical data to be grouped; the medical data includes at least one of: the medical records of the first page, the whole medical record, the medical expense details and the medical insurance settlement table; the operation includes surgery;

A third determination module for determining a first primary diagnosis, a first further diagnosis, a first primary operation, and a first further operation included in the medical data based on the first and second consumption factors;

A fourth determination module configured to determine a reference group of the medical data based on the first primary diagnosis, the first other diagnosis, the first primary operation, and a first code corresponding to the first other operation;

the processing module further comprises at least one of:

a second splitting unit splitting and encoding one of the operations having a second medical correlation between at least two parts of the one operation less than a fourth threshold;

The second determination module includes:

A first determining unit configured to determine a first consumption factor of the diagnosis and a second consumption factor of the operation, based on a ratio of the first cost information and the second cost information in a total cost associated with the medical data, respectively; the consumption factor represents the degree of consumption of medical resources by each of the diagnoses and the operations;

the third determination module includes:

A second determination unit configured to determine a diagnosis corresponding to the largest first consumption factor as a first main diagnosis, and determine other diagnoses as first other diagnoses; determining an operation corresponding to the largest second consumption factor as a first main operation, and determining other operations as first other operations; wherein the first other diagnosis includes a diagnosis other than the first primary diagnosis, and the first other operation includes an operation other than the first primary operation.

12. The apparatus of claim 11, wherein the first determination module further comprises:

and the processing module is used for merging codes, splitting codes and supplementing codes.

13. The apparatus of claim 11, wherein the second determining unit further comprises:

14. The apparatus of claim 11, wherein the second determining unit further comprises:

A fourth determination unit configured to determine, in a case where there are a plurality of operations corresponding to the largest second consumption factor, a diagnosis corresponding to the largest first consumption factor as a first main diagnosis, and determine, as a first main operation, one operation having the largest third medical relevance to the main diagnosis.

15. The apparatus of claim 11, wherein the second determining unit further comprises:

A fifth determining unit configured to determine, in a case where there are a plurality of diagnoses corresponding to the largest first consumption factor and a plurality of operations corresponding to the largest second consumption factor, third medical correlations between the plurality of diagnoses and the plurality of operations, respectively;

16. The apparatus of claim 11, wherein after the fourth determining module, further comprising:

And the display module is used for presenting the reference group of the medical data on a display interface after receiving the group viewing instruction.

17. The apparatus of claim 16, wherein the display module comprises:

A seventh determining unit configured to determine a weight of a reference packet of the medical data and area information to which the medical data belongs;

An eighth determining unit, configured to determine a rate and a cost coefficient according to the area information to which the medical data belongs;

A ninth determining unit, configured to determine a current estimated payment criterion of the medical data based on the weight, the rate, and the cost coefficient;

And the first display unit is used for displaying the reference group of the medical data and the current estimated payment standard on a display interface.

18. The apparatus of claim 16, wherein the display module further comprises:

A first generation unit configured to, when the medical data is medical data in a pre-stage, sort diagnoses in the medical data based on the first consumption factor, and generate a diagnosis reference sequence;

a second generating unit configured to sort operations in the medical data based on the second consumption factor, and generate an operation reference sequence;

19. The apparatus of claim 16, wherein the display module further comprises:

A tenth determination unit configured to determine, when the medical data is medical data in a middle stage, a second main diagnosis, a second other diagnosis, a second main operation, and a second code corresponding to each of the second other operations indicated by the medical data;

An eleventh determining unit configured to determine an initial group of the medical data according to second codes corresponding to the second main diagnosis, the second other diagnosis, the second main operation, and the second other operation, respectively;

And the third display unit is used for respectively displaying the reference group and the initial group on the display interface after receiving the group checking instruction.

20. The apparatus of claim 19, further comprising:

A twelfth determining unit, configured to determine the estimated payment criteria corresponding to the reference packet and the initial packet, respectively;

21. An electronic device, comprising:

At least one processor; and

A memory communicatively coupled to the at least one processor; wherein,

The memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-10.

22. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-10.

23. A computer program product comprising a computer program which, when executed by a processor, implements the steps of the method of any of claims 1-10.