阅读说明：本技术 医学数据的处理方法、装置及存储介质 (Medical data processing method and device and storage medium ) 是由 郑永升 梁平 于 2020-12-30 设计创作，主要内容包括：本公开涉及医学数据的处理方法、医学数据的处理装置及计算机可读存储介质,处理方法包括获取原始医学数据,所述原始医学数据包括手术编码和诊断编码；对照基于DRG分组信息构建的手术诊断关联表,以手术编码为索引从所述原始医学数据中的诊断编码中确定目标诊断编码；以目标诊断编码对应的诊断信息为主要诊断信息,生成目标医学数据。处理装置包括：获取单元；处理模块；生成模块。通过本公开的各实施例能够根据手术编码,准确高效地区分出主要诊断,从而准确地进行DRG分组。(The present disclosure relates to a processing method of medical data, a processing apparatus of medical data, and a computer-readable storage medium, the processing method including acquiring raw medical data, the raw medical data including a surgery code and a diagnosis code; determining a target diagnosis code from the diagnosis codes in the original medical data by taking the operation code as an index according to an operation diagnosis association table constructed based on the DRG grouping information; and generating target medical data by taking the diagnosis information corresponding to the target diagnosis code as main diagnosis information. The processing device includes: an acquisition unit; a processing module; and generating a module. Through the embodiments of the present disclosure, the main diagnosis can be accurately and efficiently distinguished according to the operation code, so that the DRG grouping can be accurately performed.)

1. A method of processing medical data, comprising:

acquiring raw medical data, the raw medical data comprising a surgical code and a diagnostic code;

determining a target diagnosis code from the diagnosis codes in the original medical data by taking the operation code as an index according to an operation diagnosis association table constructed based on the DRG grouping information;

and generating target medical data by taking the diagnosis information corresponding to the target diagnosis code as main diagnosis information.

2. The method of claim 1, wherein the surgical diagnosis association table is constructed in a manner comprising:

based on the minimum grouping information of the DRG group, a first association will be established with the surgical code and diagnostic code belonging to the minimum grouping.

3. The method of claim 2, wherein said determining a target diagnostic code indexed by a surgical code comprises:

taking the operation code of the main operation information as index information;

indexing a diagnostic code based on the first association;

and taking the indexed diagnosis code as the target diagnosis code.

4. The method of claim 2, wherein the surgical diagnosis association table is constructed in a manner further comprising:

establishing a second association with surgical and diagnostic codes belonging to the ADRG packet information based on the ADRG packet information at a level above the minimum packet information of the DRG packet.

5. The method of claim 4, wherein said determining a target diagnostic code indexed by a surgical code comprises:

taking the operation code of the main operation information as index information;

indexing a diagnostic code based on the first association;

indexing a diagnostic code based on the second association without indexing the diagnostic code;

and using the diagnosis code indexed based on the second relation as the target diagnosis code.

6. The method of claim 1, wherein the raw medical data contains a plurality of procedure codes and a plurality of diagnostic codes, the procedure codes having an ordering characteristic;

the determined target diagnostic code has a ranking characteristic corresponding to the surgical code.

7. Apparatus for processing medical data, comprising:

an acquisition unit configured for acquiring raw medical data, the raw medical data comprising a surgical code and a diagnostic code;

a processing module configured for determining a target diagnostic code from the diagnostic codes in the raw medical data indexed by the surgical code against a surgical diagnosis association table constructed based on the DRG group information;

and the generating module is configured to generate the target medical data by taking the diagnosis information corresponding to the target diagnosis code as main diagnosis information.

8. The apparatus of claim 7, wherein the processing module is further configured to:

taking the operation code of the main operation information as index information;

indexing the diagnostic code based on the first association;

using the indexed diagnostic code as the target diagnostic code;

wherein:

the first association relationship is defined as: based on the minimum grouping information of the DRG group, a first association will be established with the surgical code and diagnostic code belonging to the minimum grouping.

9. The apparatus of claim 7, wherein the processing module is further configured to:

taking the operation code of the main operation information as index information;

indexing the diagnostic code based on the first association;

indexing the diagnostic code based on the second association relationship if the diagnostic code is not indexed;

using the diagnosis code indexed based on the second relation as the target diagnosis code;

wherein:

the first association relationship is defined as: establishing a first association relation with the operation code and the diagnosis code belonging to the minimum grouping based on the minimum grouping information of the DRG grouping;

the second association is defined as: establishing a second association with surgical and diagnostic codes belonging to the ADRG packet information based on the ADRG packet information at a level above the minimum packet information of the DRG packet.

10. A computer-readable storage medium having stored thereon computer-executable instructions that, when executed by a processor, implement:

the method of processing medical data according to any one of claims 1 to 6.

Technical Field

The present disclosure relates to the field of medical data intelligent processing technology, and in particular, to a medical data processing method, a medical data processing apparatus, and a computer-readable storage medium.

Background

In the process of processing medical data containing operation information and Diagnosis information, when DRG (Diagnosis Related Groups) needs to be introduced, main Diagnosis and secondary Diagnosis need to be distinguished, so that the Diagnosis codes in the medical data also have main and secondary differences, and the main Diagnosis can be embodied in the first page of the medical record through filling sequence. If the primary diagnostic choice in the input raw medical data is wrong, DRG grouping errors will result.

Disclosure of Invention

The present disclosure is intended to provide a medical data processing method, a medical data processing apparatus, and a computer-readable storage medium, which can accurately and efficiently distinguish a main diagnosis from a surgery code, thereby accurately performing DRG grouping.

According to one aspect of the present disclosure, there is provided a method for processing medical data, including:

acquiring raw medical data, the raw medical data comprising a surgical code and a diagnostic code;

determining a target diagnosis code from the diagnosis codes in the original medical data by taking the operation code as an index according to an operation diagnosis association table constructed based on the DRG grouping information;

and generating target medical data by taking the diagnosis information corresponding to the target diagnosis code as main diagnosis information.

In some embodiments, the method for constructing the surgical diagnosis association table includes:

based on the minimum grouping information of the DRG group, a first association will be established with the surgical code and diagnostic code belonging to the minimum grouping.

In some embodiments, wherein said determining the target diagnostic code indexed by the surgical code comprises:

taking the operation code of the main operation information as index information;

indexing a diagnostic code based on the first association;

and taking the indexed diagnosis code as the target diagnosis code.

In some embodiments, the method for constructing the surgical diagnosis association table further includes:

establishing a second association with surgical and diagnostic codes belonging to the ADRG packet information based on the ADRG packet information at a level above the minimum packet information of the DRG packet.

In some embodiments, wherein said determining the target diagnostic code indexed by the surgical code comprises:

taking the operation code of the main operation information as index information;

indexing a diagnostic code based on the first association;

indexing a diagnostic code based on the second association without indexing the diagnostic code;

and using the diagnosis code indexed based on the second relation as the target diagnosis code.

In some embodiments, wherein the raw medical data comprises a plurality of surgical codes and a plurality of diagnostic codes, the surgical codes having an ordering characteristic;

the determined target diagnostic code has a ranking characteristic corresponding to the surgical code.

According to one aspect of the present disclosure, there is provided a processing apparatus of medical data, comprising:

an acquisition unit configured for acquiring raw medical data, the raw medical data comprising a surgical code and a diagnostic code;

a processing module configured for determining a target diagnostic code from the diagnostic codes in the raw medical data indexed by the surgical code against a surgical diagnosis association table constructed based on the DRG group information;

and the generating module is configured to generate the target medical data by taking the diagnosis information corresponding to the target diagnosis code as main diagnosis information.

In some embodiments, wherein the processing module is further configured to:

taking the operation code of the main operation information as index information;

indexing the diagnostic code based on the first association;

using the indexed diagnostic code as the target diagnostic code;

wherein:

the first association relationship is defined as: based on the minimum grouping information of the DRG group, a first association will be established with the surgical code and diagnostic code belonging to the minimum grouping.

In some embodiments, wherein the processing module is further configured to:

taking the operation code of the main operation information as index information;

indexing the diagnostic code based on the first association;

indexing the diagnostic code based on the second association relationship if the diagnostic code is not indexed;

using the diagnosis code indexed based on the second relation as the target diagnosis code;

wherein:

the first association relationship is defined as: establishing a first association relation with the operation code and the diagnosis code belonging to the minimum grouping based on the minimum grouping information of the DRG grouping;

the second association is defined as: establishing a second association with surgical and diagnostic codes belonging to the ADRG packet information based on the ADRG packet information at a level above the minimum packet information of the DRG packet.

According to one aspect of the present disclosure, there is provided a computer-readable storage medium having stored thereon computer-executable instructions that, when executed by a processor, implement:

the method for processing medical data according to the above.

The medical data processing method, the medical data processing device and the computer readable storage medium of various embodiments of the present disclosure are achieved by acquiring original medical data, wherein the original medical data comprises surgery codes and diagnosis codes; determining a target diagnosis code from the diagnosis codes in the original medical data by taking the operation code as an index according to an operation diagnosis association table constructed based on the DRG grouping information; and generating target medical data by taking the diagnosis information corresponding to the target diagnosis code as main diagnosis information, so that the main diagnosis and the secondary diagnosis can be distinguished by contrasting a surgical diagnosis association table constructed based on the DRG group information according to the surgical code and the diagnosis code in the original medical data, and the target diagnosis code is determined as the code of the main diagnosis, thereby generating the target medical data imported DRG group. According to the processing method, the incidence relation between the operation codes and the diagnosis codes is constructed based on the DRG grouping, the diagnosis codes are sequenced through the incidence relation of different priorities, and the effect equivalent to the level of a coder is achieved on the data processing performance, so that the accuracy and the efficiency of the DRG grouping of the medical data are improved.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure, as claimed.

Drawings

In the drawings, which are not necessarily drawn to scale, like reference numerals may designate like components in different views. Like reference numerals with letter suffixes or like reference numerals with different letter suffixes may represent different instances of like components. The drawings illustrate various embodiments generally, by way of example and not by way of limitation, and together with the description and claims, serve to explain the disclosed embodiments.

Fig. 1 shows a flow chart of a method of processing medical data to which an embodiment of the present disclosure relates;

fig. 2 shows an architecture diagram of a medical data processing apparatus according to an embodiment of the present disclosure;

fig. 3 illustrates an example of a minimum packet of a DRG packet to which embodiments of the present disclosure relate;

fig. 4 illustrates an example of an ADRG packet according to an embodiment of the present disclosure.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present disclosure more clear, the technical solutions of the embodiments of the present disclosure will be described below clearly and completely with reference to the accompanying drawings of the embodiments of the present disclosure. It is to be understood that the described embodiments are only a few embodiments of the present disclosure, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the described embodiments of the disclosure without any inventive step, are within the scope of protection of the disclosure.

Unless otherwise defined, technical or scientific terms used herein shall have the ordinary meaning as understood by one of ordinary skill in the art to which this disclosure belongs. The word "comprising" or "comprises", and the like, means that the element or item listed before the word covers the element or item listed after the word and its equivalents, but does not exclude other elements or items.

To maintain the following description of the embodiments of the present disclosure clear and concise, a detailed description of known functions and known components have been omitted from the present disclosure.

The present disclosure relates to processing of medical data for DRG grouping for raw medical data. In the process of processing medical data containing operation information and Diagnosis information, in the case of DRGs (diagnostic Related Groups; also called DRGs) which need to be introduced, the primary Diagnosis and the secondary Diagnosis need to be distinguished, so that the Diagnosis codes in the medical data are also distinguished between the primary Diagnosis and the secondary Diagnosis, and the primary Diagnosis can be embodied in the first page of the medical record by filling in the sequence. In this case, the filling specification of the first page of the medical record is required for the filling sequence of the diagnosis codes, and the main diagnosis and the secondary diagnosis need to be distinguished. DRG clustering is primarily based on primary diagnosis, and clinician-written clinical diagnoses are sometimes in an incorrect order, which would result in DRG clustering errors if the primary diagnosis choice in the input raw medical data is wrong.

Regarding the DRG group, taking the "national medical Care diagnosis related group (CHS-DRG)" as an example, the application of CHS-DRG is based on ICD-10 tables regarding disease classification and code and ICD-9-CM-3 tables regarding surgery and operation classification and code, and medical settlement list data. Which comprises the following steps:

major Diagnostic Category (MDC), which refers to the result of classifying Major diagnoses according to anatomical systems and other Major Category categories;

the core disease Diagnosis Related Group (ADRG) is a Group of case combinations similar to the clinical processes of disease Diagnosis or operation and the like, which are mainly divided according to the clinical characteristics of diseases;

primary diagnostics (Principal diagnostics): the disease or the health condition which is determined by medical institutions and causes the main reason for hospitalization and hospitalization of the patient;

other diagnostics (Secondary diagnostics): refers to a disease that co-exists with, occurs later in, or otherwise affects the treatment received and/or the duration of the hospital stay;

major surgery and Procedure (Major Procedure): refers to the operation or operation performed by the clinician on the condition that the patient is primarily diagnosed during the patient's stay.

DRGs (diagnosed Related groups) groups are classified into corresponding DRGs groups by ADRG according to individual characteristics, age, complications and complications of cases. The DRGs codes consist of 4-bit codes, all represented by English letters A-Z and Arabic numerals 0-9, the 1 st bit code: a diagnosis classification (MDC) code of the disease is expressed by A-Z and 26 letters, and enters a corresponding disease diagnosis classification according to the main diagnosis of the first page of the medical record; 2 nd bit code: DRG types are divided into an internal medicine part, a surgical part and a non-operating room operation part (receiving special examination such as catheter and endoscopy) according to different treatment modes and are represented by letters; code of 3 rd bit: arabic numerals (1-9) which are sequence codes of the DRG group; 4 th bit code: arabic numerals indicate whether there are complications, accompanying diseases, age, and special cases such as sequelae.

As one aspect, as shown in fig. 1, an embodiment of the present disclosure provides a method for processing medical data, including:

s101: acquiring raw medical data, the raw medical data comprising a surgical code and a diagnostic code;

s102: determining a target diagnosis code from the diagnosis codes in the original medical data by taking the operation code as an index according to an operation diagnosis association table constructed based on the DRG grouping information;

s103: and generating target medical data by taking the diagnosis information corresponding to the target diagnosis code as main diagnosis information.

One of the inventive concepts of the present disclosure is directed to generating an import DRG group of target medical data by differentiating a primary diagnosis and a secondary diagnosis with reference to a surgical diagnosis association table constructed based on DRG group information from a surgical code and a diagnosis code in original medical data and determining a target diagnosis code as a code of the primary diagnosis.

The original medical data in the embodiments of the present disclosure, which belongs to the data source, need not be particularly limited, and may be historical data or current real-time data. From the aspect of data format, medical record text data, video data, audio data and the like can be used as long as medical record text data, video data, audio data and the like can be identified by identification means, such as text identification (for example, NLP identification, OCR identification and the like), surgical codes and diagnostic codes contained in the medical record text data, voice identification, video image identification and the like, or medical information contents identified by character splitting, word and sentence splitting and the like. The surgical code may be an ICD-9-CM-3 code and the diagnostic code may be an ICD-10 code. Referring to the ICD9-CM-3 standard information table and the ICD-10 standard information table, the raw medical data of the embodiments of the present disclosure contains a wide variety of surgical information and diagnostic information from which surgical codes and diagnostic codes can be extracted. In some embodiments, the raw medical data of the present disclosure may also be medical records, diagnostic books, surgical reports, which include physician recorded, sequenced surgical codes, and diagnostic codes without any ordering characteristics, and without any scores for primary and secondary diagnoses. In various data information analysis scenarios, the original medical data in the embodiment of the present disclosure may be a medical text of the original medical data input by a user through an interactive interface and an input device, and may be used for interpretation of relevant medical information by way of annotation or analysis, such as manual or machine.

In various embodiments, in the implementation process of the present disclosure, the operation information and the diagnosis information in the original medical operation information of the present embodiment may be extracted through a neural network model. In the implementation process, the specific neural network model is not particularly limited, and can be implemented by adopting a neural network model which meets the requirements and is matched with the architecture. According to the more preferable scheme, the extraction accuracy of various information can be further optimized through the adaptive neural network model on the basis of the pre-training model. For extracting medical entity content, entity extraction can be performed based on a text recognition mode, for example, a text recognition mode such as NLP (natural language processing), and clauses and classifications are performed on entities by combining medical concepts. More preferably, the entity can be analyzed by combining with a standard medical information table, such as various information tables of ICD, and extracted on the basis of combining with a proper medical rule analysis result.

In some embodiments, the method for constructing the surgical diagnosis association table of the present disclosure includes:

based on the minimum grouping information of the DRG group, a first association will be established with the surgical code and diagnostic code belonging to the minimum grouping.

Specifically, as shown in fig. 3, the present disclosure uses grouping information in the DRG to establish the association relationship between the surgical code and the diagnosis code, so as to determine the main diagnosis by using the surgical code as an index according to the association relationship.

In this embodiment, the establishment of the first association relationship may be implemented in the minimum packet information of the DRG packet based on the ICD10 code and ICD-9-CM-3 code.

In some embodiments, the determining a target diagnostic code indexed by a surgical code of the present disclosure comprises:

taking the operation code of the main operation information as index information;

indexing a diagnostic code based on the first association;

and taking the indexed diagnosis code as the target diagnosis code.

In particular, the embodiments of the present disclosure may preferably implement the data processing method of the present disclosure for surgical codes with a sequential feature. The sequence characteristic is not necessarily related to the arrangement position of the actual data in the medical record report and the medical record home page, and aims to embody the characteristic of the main operation. That is, it can be assumed that the Major surgery (Major Procedure) has been determined.

And analyzing whether the DRGs group in which the medical record first page belongs can find the diagnosis code of the minimum group which belongs to the DRG group according to the operation code of the main operation information in the medical record first page. If the corresponding diagnostic code can be found, the diagnostic code can be used as the diagnostic code for the primary diagnosis, thereby providing an accurate primary diagnosis for generating the target medical data for importing the DRG packet.

In some embodiments, the method for constructing the surgical diagnosis association table of the present disclosure further includes:

establishing a second association with surgical and diagnostic codes belonging to the ADRG packet information based on the ADRG packet information at a level above the minimum packet information of the DRG packet.

Specifically, as shown in fig. 4, the present disclosure may further use the ADRG grouping information to establish association relationships between the surgical code and the diagnosis code, so as to determine the main diagnosis by using the surgical code as an index according to the association relationships.

With continued reference to the foregoing example, based on ICD10 encoding and ICD-9-CM-3 encoding, on the basis that the first association relationship is established by the minimum grouping information of the DRG group, the level grouping ADRG grouping information is utilized to establish a second association relationship with the diagnostic code and the surgical code belonging to one ADRG group, and the priority of the first association relationship is higher than the second association relationship in the process of determining the main diagnosis in the original medical data based on the processing flow and logic of the present disclosure.

Since the DRG packet information directory contains very much content, fig. 3 and 4 of the present disclosure are intended to characterize the level relationship by limited coding, and some diagnostic names, surgical names, etc. illustrate the information between the DRGs min-packet and the ADRG packet in this embodiment.

In some embodiments, the determining a target diagnostic code indexed by a surgical code of the present disclosure comprises:

taking the operation code of the main operation information as index information;

indexing a diagnostic code based on the first association;

indexing a diagnostic code based on the second association without indexing the diagnostic code;

and using the diagnosis code indexed based on the second relation as the target diagnosis code.

In particular, continuing with the foregoing example, embodiments of the present disclosure may preferably implement the data processing method of the present disclosure for surgical coding with a sequential feature. The sequence characteristic is not necessarily related to the arrangement position of the actual data in the medical record report and the medical record home page, and aims to embody the characteristic of the main operation. That is, it can be assumed that the Major surgery (Major Procedure) has been determined.

And analyzing whether the DRGs group in which the medical record first page belongs can find the diagnosis code of the minimum group which belongs to the DRG group according to the operation code of the main operation information in the medical record first page. If the corresponding diagnostic code can be found, the diagnostic code can be used as the diagnostic code for the primary diagnosis, thereby providing an accurate primary diagnosis for generating the target medical data for importing the DRG packet.

If the diagnosis code cannot be found based on the first association relationship in the embodiment, the embodiment of the present disclosure may continue to analyze whether the diagnosis code belonging to the ADRG group can be found in the ADRG group in which the ADRG group is located according to the operation code related to the main operation information in the medical record top page. If the corresponding diagnostic code can be found, the diagnostic code can be used as the diagnostic code for the primary diagnosis, thereby providing an accurate primary diagnosis for generating the target medical data for importing the DRG packet.

If the corresponding diagnosis code can not be found, the original medical data of the embodiment, such as the operation and diagnosis content recorded in the first page of the medical record, can be correct for the record of the main diagnosis with high probability based on the processing method and the medical knowledge inference.

In some embodiments, in combination with the foregoing examples, the raw medical data of the present disclosure contains a plurality of procedure codes and a plurality of diagnostic codes, the procedure codes having an ordering characteristic; the determined target diagnosis code has the sequencing characteristic corresponding to the operation code, so that the data processing method of the embodiment can perform corresponding sequencing on the diagnosis information content in the original medical record based on the sequence characteristic of the operation code.

As one of the aspects of the present disclosure, as shown in fig. 2, the present disclosure also provides a processing apparatus of medical data, including:

an acquisition unit configured for acquiring raw medical data, the raw medical data comprising a surgical code and a diagnostic code;

a processing module configured for determining a target diagnostic code from the diagnostic codes in the raw medical data indexed by the surgical code against a surgical diagnosis association table constructed based on the DRG group information;

and the generating module is configured to generate the target medical data by taking the diagnosis information corresponding to the target diagnosis code as main diagnosis information.

In some embodiments, the obtaining unit of the present disclosure may be an input device, a screen capture device, a text recognition device, and the like, and is intended to enable obtaining a text generated based on an original input; and/or generating medical data based on AI algorithm recognition.

In combination with the foregoing, in some embodiments, the processing module of the present disclosure is further configured to:

taking the operation code of the main operation information as index information;

indexing the diagnostic code based on the first association;

using the indexed diagnostic code as the target diagnostic code;

wherein:

the first association relationship is defined as: based on the minimum grouping information of the DRG group, a first association will be established with the surgical code and diagnostic code belonging to the minimum grouping.

In combination with the foregoing, in some embodiments, the processing module of the present disclosure is further configured to:

taking the operation code of the main operation information as index information;

indexing the diagnostic code based on the first association;

indexing the diagnostic code based on the second association relationship if the diagnostic code is not indexed;

using the diagnosis code indexed based on the second relation as the target diagnosis code;

wherein:

the first association relationship is defined as: establishing a first association relation with the operation code and the diagnosis code belonging to the minimum grouping based on the minimum grouping information of the DRG grouping;

the second association is defined as: establishing a second association with surgical and diagnostic codes belonging to the ADRG packet information based on the ADRG packet information at a level above the minimum packet information of the DRG packet.

In some embodiments, the apparatus of the present disclosure may further include a surgical diagnosis association table building module configured to:

based on the minimum grouping information of the DRG group, a first association will be established with the surgical code and diagnostic code belonging to the minimum grouping.

In some embodiments, the surgical diagnosis association table building module of the present disclosure may be further configured to:

establishing a second association with surgical and diagnostic codes belonging to the ADRG packet information based on the ADRG packet information at a level above the minimum packet information of the DRG packet.

In particular, one of the inventive concepts of the present disclosure is directed to a method for medical diagnosis by obtaining raw medical data, the raw medical data including surgical and diagnostic codes; determining a target diagnosis code from the diagnosis codes in the original medical data by taking the operation code as an index according to an operation diagnosis association table constructed based on the DRG grouping information; and generating target medical data by taking the diagnosis information corresponding to the target diagnosis code as main diagnosis information, so that the main diagnosis and the secondary diagnosis can be distinguished by contrasting a surgical diagnosis association table constructed based on the DRG group information according to the surgical code and the diagnosis code in the original medical data, and the target diagnosis code is determined as the code of the main diagnosis, thereby generating the target medical data imported DRG group. According to the processing method, the incidence relation between the operation codes and the diagnosis codes is constructed based on the DRG grouping, the diagnosis codes are sequenced through the incidence relation of different priorities, and the effect equivalent to the level of a coder is achieved on the data processing performance, so that the accuracy and the efficiency of the DRG grouping of the medical data are improved.

As one of the aspects of the present disclosure, the present disclosure also provides a computer-readable storage medium having stored thereon computer-executable instructions, which when executed by a processor, mainly implement a processing method according to the medical data described above, including at least:

acquiring raw medical data, the raw medical data comprising a surgical code and a diagnostic code;

determining a target diagnosis code from the diagnosis codes in the original medical data by taking the operation code as an index according to an operation diagnosis association table constructed based on the DRG grouping information;

and generating target medical data by taking the diagnosis information corresponding to the target diagnosis code as main diagnosis information.

In some embodiments, a processor executing computer-executable instructions may be a processing device including more than one general-purpose processing device, such as a microprocessor, Central Processing Unit (CPU), Graphics Processing Unit (GPU), or the like. More specifically, the processor may be a Complex Instruction Set Computing (CISC) microprocessor, Reduced Instruction Set Computing (RISC) microprocessor, Very Long Instruction Word (VLIW) microprocessor, processor running other instruction sets, or processors running a combination of instruction sets. The processor may also be one or more special-purpose processing devices such as an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), a Digital Signal Processor (DSP), a system on a chip (SoC), or the like.

In some embodiments, the computer-readable storage medium may be a memory, such as a read-only memory (ROM), a random-access memory (RAM), a phase-change random-access memory (PRAM), a static random-access memory (SRAM), a dynamic random-access memory (DRAM), an electrically erasable programmable read-only memory (EEPROM), other types of random-access memory (RAM), a flash disk or other form of flash memory, a cache, a register, a static memory, a compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD) or other optical storage, a tape cartridge or other magnetic storage device, or any other potentially non-transitory medium that may be used to store information or instructions that may be accessed by a computer device, and so forth.

In some embodiments, the computer-executable instructions may be implemented as a plurality of program modules that collectively implement the method for displaying medical images according to any one of the present disclosure.

The present disclosure describes various operations or functions that may be implemented as or defined as software code or instructions. The display unit may be implemented as software code or modules of instructions stored on a memory, which when executed by a processor may implement the respective steps and methods.

Such content may be source code or differential code ("delta" or "patch" code) that may be executed directly ("object" or "executable" form). A software implementation of the embodiments described herein may be provided through an article of manufacture having code or instructions stored thereon, or through a method of operating a communication interface to transmit data through the communication interface. A machine or computer-readable storage medium may cause a machine to perform the functions or operations described, and includes any mechanism for storing information in a form accessible by a machine (e.g., a computing display device, an electronic system, etc.), such as recordable/non-recordable media (e.g., Read Only Memory (ROM), Random Access Memory (RAM), magnetic disk storage media, optical storage media, flash memory display devices, etc.). The communication interface includes any mechanism for interfacing with any of a hardwired, wireless, optical, etc. medium to communicate with other display devices, such as a memory bus interface, a processor bus interface, an internet connection, a disk controller, etc. The communication interface may be configured by providing configuration parameters and/or transmitting signals to prepare the communication interface to provide data signals describing the software content. The communication interface may be accessed by sending one or more commands or signals to the communication interface.

The computer-executable instructions of embodiments of the present disclosure may be organized into one or more computer-executable components or modules. Aspects of the disclosure may be implemented with any number and combination of such components or modules. For example, aspects of the disclosure are not limited to the specific computer-executable instructions or the specific components or modules illustrated in the figures and described herein. Other embodiments may include different computer-executable instructions or components having more or less functionality than illustrated and described herein.

The above description is intended to be illustrative and not restrictive. For example, the above-described examples (or one or more versions thereof) may be used in combination with each other. For example, other embodiments may be used by those of ordinary skill in the art upon reading the above description. In addition, in the foregoing detailed description, various features may be grouped together to streamline the disclosure. This should not be interpreted as an intention that a disclosed feature not claimed is essential to any claim. Rather, the subject matter of the present disclosure may lie in less than all features of a particular disclosed embodiment. Thus, the following claims are hereby incorporated into the detailed description as examples or embodiments, with each claim standing on its own as a separate embodiment, and it is contemplated that these embodiments may be combined with each other in various combinations or permutations. The scope of the disclosure should be determined with reference to the appended claims, along with the full scope of equivalents to which such claims are entitled.

The above embodiments are merely exemplary embodiments of the present disclosure, which is not intended to limit the present disclosure, and the scope of the present disclosure is defined by the claims. Various modifications and equivalents of the disclosure may occur to those skilled in the art within the spirit and scope of the disclosure, and such modifications and equivalents are considered to be within the scope of the disclosure.