Hospital Performance Accounting System, Method, Corresponding Equipment and Storage Medium

Abstract

The present application discloses a hospital performance accounting system, method, corresponding device, and storage medium. The system includes: a data acquisition module for acquiring hospital charging data; an information extraction module for extracting medical service item information from the charging data; a project benchmarking module for benchmarking the extracted medical service item information to standard medical service items respectively; a point determination module for determining the corresponding relative labor value points of each provided medical service item based on the benchmarked standard medical service items and a pre-established relative labor value point library; and a performance calculation module for calculating a performance result based on all the determined relative labor value points. The present invention can achieve automatic, accurate, and rapid accounting of hospital performance.

Description

Technical Field

[0001] This application relates to the field of electronic digital data processing, and particularly to a hospital performance accounting system. This application also relates to a hospital performance accounting method and corresponding computer equipment and computer-readable storage media. Background Art

[0002] Due to factors such as numerous departments and significant differences in departmental operations in hospitals, performance accounting is extremely complex and usually inaccurate, and there is currently no relatively referenceable standard. Therefore, there is a need to provide an automatic performance accounting system with accurate accounting results. Summary of the Invention

[0003] The present invention provides a hospital performance accounting system, method, corresponding equipment and storage medium, which can achieve automatic, accurate and rapid accounting of hospital performance.

[0004] In the first aspect of the present invention, a hospital performance accounting system is provided. The system includes:

[0005] A data acquisition module for acquiring hospital charging data;

[0006] An information extraction module for extracting medical service item information from the charging data;

[0007] An item benchmarking module for benchmarking the extracted medical service item information to standard medical service items respectively;

[0008] A point determination module for determining the corresponding relative labor value points of each provided medical service item based on the benchmarked standard medical service items and a pre-established relative labor value point library, where the relative labor value point library at least includes medical service items and corresponding relative labor value points;

[0009] A performance calculation module for calculating a performance result based on all the determined relative labor value points.

[0010] In the second aspect of the present invention, a hospital performance accounting method is provided. The method includes:

[0011] Acquiring hospital charging data;

[0012] Extracting medical service item information from the charging data;

[0013] Benchmarking the extracted medical service item information to standard medical service items respectively;

[0014] Based on the benchmark standard medical service items and a pre-established relative labor value point database, determine the corresponding relative labor value points for each provided medical service item, where the relative labor value point database includes at least medical service items and their corresponding relative labor value points;

[0015] Calculate the performance result based on all the determined relative labor value points.

[0016] In the third aspect of the present invention, a computer device is provided, including a processor, a memory, and a computer program stored on the memory and executable on the processor, where when the processor executes the computer program, it realizes the functions of the system according to the first aspect of the present invention or the steps of the method according to the second aspect of the present invention.

[0017] According to the fourth aspect of the present invention, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, it realizes the functions of the system according to the first aspect of the present invention or the steps of the method according to the second aspect of the present invention.

[0018] According to the present invention, by obtaining hospital charge data, extracting medical service item information from the charge data, respectively mapping the extracted medical service item information to the standard medical service items, determining the corresponding relative labor value points based on the benchmark standard medical service items and a pre-established relative labor value point database, and calculating the performance result based on all the determined relative labor value points, all steps are automatically performed without manual participation. Due to the accuracy of medical service item information extraction, the accuracy of medical service item mapping, and the accuracy of the relative labor value point database, the finally obtained performance result has a very high accuracy, and thus can be used to scientifically, fairly, and accurately assess the work of each hospital and / or each department of the hospital.

[0019] After reading the detailed description of the embodiments of the present invention in conjunction with the accompanying drawings, other features and advantages of the present invention will become clearer. Description of the Drawings

[0020] Figure 1 Is a block diagram of an embodiment of the system according to the present invention;

[0021] Figure 2 Is a flowchart of an embodiment of the method according to the present invention.

[0022] For clarity, these drawings are all schematic and simplified, and they only show the details necessary for understanding the present invention while omitting other details. Detailed Embodiments

[0023] The embodiments and implementation manners of the present invention will be described in detail below with reference to the accompanying drawings.

[0024] The scope of application of the present invention will become apparent from the following detailed description. However, it should be understood that while the detailed description and specific examples illustrate preferred embodiments of the present invention, they are given for illustrative purposes only.

[0025] Figure 1 A block diagram showing a preferred embodiment of a hospital performance accounting system according to the present invention, the system comprising:

[0026] A data acquisition module 102 for acquiring charging data in the hospital HIS system. Examples of charging data are as follows:

[0027] Charge Item Code Charge Item Name AAAC0001 Observation and Examination Fee for Inpatient or Emergency 110200004A Observation and Examination Fee for Inpatient or Emergency (over 12 hours) 110200004B Observation and Examination Fee for Inpatient or Emergency (within 12 hours)

[0028] An information extraction module 104 for extracting medical service item information from the charging data.

[0029] An item benchmarking module 106 for benchmarking the extracted medical service item information to standard medical service items respectively.

[0030] In the embodiment, the process of benchmarking the extracted medical service item information to standard medical service items respectively is the process of aligning the medical service items of a specific hospital with the data in the hierarchical classification knowledge base established based on services, consumables, and equipment for medical service items.

[0031] The hierarchical classification knowledge base is a standardized corpus formed by classifying charging items. For example, the service item "local chief physician consultation" is a sub-item of "consultation fee", and "consultation fee" is a sub-item of "general medical service". Collect the medical service items of multiple hospitals and manually label to determine the directory structure of service fees. Form a corpus of all items and perform semantic similarity NLP modeling. Determine the text similarity score according to the hierarchical relationship. Texts at the same level are scored a, for example 5 points, texts of the parent and sub-level are scored b, for example 3 points, and texts without a secondary hierarchical relationship are scored c, for example 0 points, where a > b > c.

[0032] When conducting benchmarking, for example, the LTP tokenizer is used to tokenize the medical service item information extracted from the text to be matched for benchmarking, and semantic dependency analysis is performed on the text to be matched for benchmarking to determine the central word for text search. According to the determined central word, for example, Lucence indexing technology is used to search the hierarchical classification knowledge base of medical service items. Then, the search results are filtered according to the modifiers in the text to be matched for benchmarking, and the k most relevant standard medical service items are recalled. For example: the extracted medical service item information is "skin biopsy", first determine the central word "skin biopsy", search for "skin biopsy" from the hierarchical classification knowledge base (medical service item term set), then extract the modifier "examination", and filter the search results of "skin biopsy" based on the modifier to recall the k most relevant standard medical service items.

[0033] The recall results are then further processed using a BERT-based semantic model, such as the Nezha language model proposed by Huawei Technologies Co., Ltd., to establish a similar STB classification task, and based on deep learning text similarity matching, the precision rate is improved. Nezha adopts a deep model with multi-head self-attention, which can effectively learn the writing habits of hospital charge item names and can significantly improve the accuracy of the charge item benchmarking task. The sample classification score indicates whether two medical service item texts represent the same meaning and their semantic similarity. The model training objective is the categorical cross-entropy between the predicted score and the actual score, and the final benchmarked standard medical service items in the recall results are determined according to the categorical cross-entropy.

[0034] The point determination module 108 is used to determine the corresponding relative labor value points of each provided medical service item based on the pre-established relative labor value point library according to the benchmarked standard medical service items.

[0035] The relative labor value points refer to relative values that can reflect the high or low labor value of medical staff by considering factors such as the operators (professional titles), number of operators, operation time, operation difficulty, and risk degree involved in medical service items, and can provide a reference basis for hospital performance distribution.

[0036] In the embodiment, the relative labor value point library can be established in the following manner.

[0037] Determine the standard medical service items. The types of medical service items are basically divided into 4 categories: comprehensive medical service category, medical diagnosis and treatment category, clinical diagnosis and treatment category, and traditional Chinese and ethnic medicine diagnosis and treatment category. The 2001 and 2012 merged version of the national medical service items can be used.

[0038] According to the 4 major categories of medical service items, the basic man-hour consumption time and duration (CCHI 2012 version of the national medical service items), the item connotations (CCHI 2012 version), and professional clinical knowledge, each medical service item is split, and the operator (professional title), operation time, number of people, technical difficulty, and risk level are assigned to form an item operation library. The item connotations (CCHI 2012 version) uniformly standardize the facilities, equipment commonly used in the operation process of medical service price items, as well as the technical service content provided (including the operation process, main path, methods or steps). Each medical service item may include one or more operations.

[0039] The assignment of professional titles can be carried out according to 6 major professional titles of hospital personnel, including chief physician, deputy chief physician, attending physician, resident physician, technician, and nurse. The assignment of operation time and number of people can be carried out by using professional clinical knowledge and experience and referring to the basic man-hour consumption and duration (CCHI 2012 version).

[0040] Technical difficulty refers to the relative difficulty of technical operations of medical service items, the degree of technical input, and the technical requirements for operators (including the technical titles of operators, the degree of technical input, and professional operation training) and other factors are comprehensively determined.

[0041] The risk level reflects the relative risk of technical operations of medical service items, and is mainly comprehensively evaluated based on the probability of patients having complications during the operation and the severity of adverse consequences.

[0042] Technical difficulty and risk level can be represented by a combination of letters and numbers, where letters represent systems and specialties, and numbers represent the scores of technical difficulty and risk level. Different letters are used to identify each system and specialty. The following table shows an example of the representation of technical difficulty and risk level.

[0043]

[0044] Based on the professional titles, operation time, number of operators, technical difficulty, and risk level corresponding to each medical service item in the item operation library, calculate the relative labor value points of the corresponding medical service items. Specifically,

[0045] For a medical service item, determine the operations it contains and the professional title coefficients (provided by the hospital), operation time, and number of operators corresponding to each operation through the item operation library, and then calculate the time of each operation based on the professional title coefficient, operation time, and number of operators. For example, the time of each operation = the operation time of each operation * the number of operators * the professional title coefficient.

[0046] Then, calculate the standard operation time of the medical service item based on the time of each operation of the medical service item. For example, the standard operation time of a medical service item is the sum of the operation times of each operation of the medical service item.

[0047] After that, calculate the comprehensive relative value coefficient based on the technical difficulty, risk level, and the weights of technical difficulty and risk level. For example, where 0.6 and 0.4 are the weights of technical difficulty and risk level respectively. The weights of technical difficulty and risk level can be determined between 0 and 1, for example, by expert evaluation to determine the weight size. The following table gives several examples of comprehensive relative value coefficients:

[0048]

[0049] Finally, calculate the relative labor value points of each medical service item based on the standard operation time, comprehensive relative value coefficient, and professional adjustment coefficient of the medical service item. For example, relative labor value points = standard operation time * comprehensive relative value coefficient * professional adjustment coefficient. The professional adjustment coefficient is used to distinguish the differences between each system. For example, it is the ratio of the medical income proportion of each specialty divided by the medical income proportion of surgical items.

[0050] All the calculated relative labor value points can form a relative labor value points library. After that, the relative labor value points library can be verified using the existing hospital data and performance appraisal results collected. If the results are consistent, it is released. If the results are inconsistent, the relative labor value points are recalculated by modifying the title, number of operators, operation time, etc. in the project operation library, and then data verification is performed again until the results are consistent or recognized by the hospital. The released relative labor value points library can be used for the hospital's future performance accounting. The relative labor value points library can be continuously updated according to the development of the medical field.

[0051] The performance calculation module 110 is used to calculate the performance results based on all the determined relative labor value points respectively. Usually, the hospital's performance result is the sum of all its relative labor value points.

[0052] In other embodiments, the system of the present invention may further include a data division module for dividing the charging data by department. In this case, the point determination module can determine the corresponding relative labor value points of each medical service item provided by each department based on the benchmark standard medical service items and the pre-established relative labor value points library. The performance calculation module can calculate the performance results of the corresponding departments based on all the relative labor value points determined by the departments. The performance results of each department are the sum of all the relative labor value points of the corresponding department, so as to conduct performance comparison between departments.

[0053] Figure 2 The figure shows a flowchart of a preferred embodiment of the hospital performance accounting method according to the present invention.

[0054] In step S202, hospital charge data is obtained;

[0055] In step S204, the medical service item information in the charge data is extracted;

[0056] In step S206, the extracted medical service item information is respectively mapped to the standard medical service items;

[0057] In step S208, according to the mapped standard medical service items, based on the pre-established relative labor value point library, the corresponding relative labor value points of each provided medical service item are determined;

[0058] In step S210, the performance result is calculated based on all the determined relative labor value points.

[0059] In another embodiment, the present invention provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it realizes the functions combined with Figure 1 the system embodiment shown or other corresponding system embodiments, or realizes the steps combined with Figure 2 the method embodiment shown or other corresponding method embodiments, which will not be elaborated here.

[0060] In another embodiment, the present invention provides a computer device, including a processor, a memory, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, it realizes the functions combined with Figure 1 the system embodiment shown or other corresponding system embodiments, or realizes the steps combined with Figure 2 the method embodiment shown or other corresponding method embodiments, which will not be elaborated here.

[0061] The various different embodiments or their specific features, structures or characteristics described herein may be appropriately combined in one or more embodiments of the present invention. Additionally, in certain cases, as appropriate, the order of steps described in the flowcharts and / or the water flow process may be modified and does not necessarily have to be executed exactly in the order described. Further, the various different aspects of the present invention may be implemented using software, hardware, firmware, or a combination thereof and / or other computer-implemented modules or devices that perform the functions. The software implementation of the present invention may include executable code stored in a computer-readable medium and executed by one or more processors. The computer-readable medium may include a computer hard drive, ROM, RAM, flash memory, portable computer storage media such as CD-ROM, DVD-ROM, flash drive, and / or other devices having a Universal Serial Bus (USB) interface, and / or any other suitable tangible or non-transitory computer-readable medium or computer memory on which the executable code may be stored and executed by a processor. The present invention may be used in conjunction with any suitable operating system.

[0062] Unless expressly stated otherwise, the singular forms "a", "the" used herein include plural meanings (i.e., having the meaning of "at least one"). It should be further understood that the terms "having", "including" and / or "containing" used in the specification indicate the presence of the stated features, steps, operations, elements and / or components, but do not preclude the presence or addition of one or more other features, steps, operations, elements, components and / or their combinations. As used herein, the term "and / or" includes any and all combinations of one or more of the recited related items.

[0063] Some preferred embodiments of the present invention have been described above, but it should be emphasized that the present invention is not limited to these embodiments, but may be implemented in other ways within the scope of the subject matter of the present invention. Those skilled in the art can make various variations and modifications to the present invention under the inspiration of the technical concept of the present invention and without departing from the content of the present invention, and these variations or modifications still fall within the protection scope of the present invention.

Claims

1. A hospital performance accounting system, characterized in that: The system comprises: Data acquisition module, used to obtain hospital charge data; An information extraction module is used to extract medical service item information from the charging data; The project benchmarking module is used to benchmark the extracted medical service project information to standard medical service projects; a point determination module for determining the relative labor value points corresponding to each provided medical service item based on the benchmarked standard medical service items and a pre-established relative labor value point database, wherein the relative labor value point database includes at least medical service items and corresponding relative labor value points; and A performance calculation module is used to calculate performance results based on all determined relative labor value points; Wherein, each relative service value point in the relative service value point database is calculated by a relative service value point calculation module, and the relative service value point calculation module includes: The project operation determination submodule is used to determine the corresponding operation based on the standard medical service items; The operation time calculation submodule is used to calculate the time of each operation based on the job title coefficient, operation time, and number of operators; A standard operation time calculation submodule, configured to calculate the standard operation time of a standard medical service item based on the time of each operation of the standard medical service item; A comprehensive relative value coefficient calculation submodule, for calculating the comprehensive relative value coefficient based on the technical difficulty, risk level, and the weights of the technical difficulty and risk level; and The relative labor value point calculation submodule is used to calculate the relative labor value points of the medical service project based on the standard operating time, comprehensive relative value coefficient and professional adjustment coefficient of the medical service project.

2. The system according to claim 1, wherein: The system further comprises: An adjustment module is used to adjust at least the operation time and / or the number of operators.

3. The system according to claim 1, wherein: The system further comprises: The data division module is used to divide the charging data according to departments; wherein the performance calculation module calculates the performance results of the corresponding department based on all relative labor value points determined by the department.

4. The system according to claim 1, wherein: The project benchmarking module is used to: Segment the extracted medical service item information; Conduct semantic dependency analysis on the extracted medical service item information to determine the text search core words; Search the pre-established medical service item hierarchical classification knowledge base based on the determined core words; Filter the search results based on the modifiers in the extracted medical service item information and recall the k most relevant standard medical service items; Input the k most relevant standard medical service items into the trained BERT model and obtain the categorical cross entropy between the predicted score and the actual score; The final benchmark standard medical service items are determined based on the classification cross entropy.

5. The system according to claim 4, wherein The actual scoring includes: The text similarity score is determined based on the hierarchical relationship. Texts at the same level are scored as a, parent and child texts are scored as b, and texts without a secondary hierarchical relationship are scored as c, where a>b>c.

6. A hospital performance accounting method, characterized in that: The method comprises: Obtain hospital charge data; Extract medical service item information from charging data; Match the extracted medical service item information to standard medical service items respectively; Determining the relative labor value points corresponding to each provided medical service item based on the benchmarked standard medical service items and a pre-established relative labor value point database, wherein the relative labor value point database includes at least medical service items and corresponding relative labor value points; and Calculate performance results based on all relative labor value points determined; The calculation of each relative service value point in the relative service value point database includes: Determine the corresponding tasks based on standard medical service items; Calculate the time for each operation based on the job title coefficient, operation time, and number of operators; Calculating the standard operation time of a standard medical service item based on the time of each operation of the standard medical service item; Calculate a comprehensive relative value coefficient based on the technical difficulty, risk level, and the weighting of the technical difficulty and risk level; and The relative labor value points of the medical service item are calculated based on the standard operating time, comprehensive relative value coefficient and professional adjustment coefficient of the medical service item.

7. A computer device comprising a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the functions of the system according to any one of claims 1 to 5 or the steps of the method according to claim 6 are implemented.

8. A computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the computer program implements the functions of the system according to any one of claims 1 to 5 or the steps of the method according to claim 6.

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