A hospital logistics information management method and system based on artificial intelligence

Abstract

This invention discloses an artificial intelligence-based method and system for hospital logistics information management, relating to the field of hospital logistics information management technology. The method includes: acquiring hospital logistics information to be managed; performing data duplication analysis on the hospital logistics information to be managed to obtain hospital logistics information without duplicate data; and adjusting the data format of the hospital logistics information without duplicate data to obtain hospital logistics information with the same format. This invention first removes duplicate hospital logistics information from the hospital logistics information to be managed, reducing the amount of data and shortening the subsequent format conversion time. Then, it adjusts the format of the hospital logistics information without duplicate data, ensuring that the stored hospital logistics information has the same format, making it easier for staff to read. Furthermore, it calculates the format of the adjusted hospital logistics information and the memory of the data storage device to avoid insufficient storage memory.

Description

Technical Field

[0001] This invention relates to the field of hospital logistics information management technology, specifically to a hospital logistics information management method and system based on artificial intelligence. Background Technology

[0002] The hospital logistics system refers to a system that uses information technology (such as the Internet of Things, big data, and AI) to digitally manage the hospital's non-medical core businesses. Its core objectives are to ensure medical safety, reduce operating costs, and improve service efficiency.

[0003] Everyone has different habits, so the data formats they use will also be different. If the format of the hospital logistics information is not adjusted when storing it, the format of the stored hospital logistics information will be messy. When the hospital logistics information is retrieved later, the data format of the hospital logistics information will need to be adjusted, which will prolong the analysis time of the subsequent data. Summary of the Invention

[0004] To address the aforementioned technical problems, this paper provides a hospital logistics information management method and system based on artificial intelligence. This technical solution resolves the issues raised in the background section.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows: An artificial intelligence-based method for hospital logistics information management includes: Based on the intelligent management terminal, data is retrieved and processed from the database system to obtain hospital logistics information to be managed; Based on the intelligent management terminal, data duplication analysis is performed on the hospital logistics information to be managed to obtain hospital logistics information without duplicate data. Based on the intelligent management terminal, the data format of hospital logistics information with no duplicate data is adjusted to obtain hospital logistics information with the same format. Based on the intelligent management terminal, hospital logistics information in the same format is stored in the data storage device.

[0006] Preferably, the step of performing data duplication analysis on the hospital logistics information to be managed based on the intelligent management terminal to obtain hospital logistics information without duplicate data specifically includes the following steps: Based on the intelligent management terminal, feature data extraction and processing are performed on the hospital logistics information to be managed to obtain the data generation time of the hospital logistics information; Based on the intelligent management terminal, the data generation time of hospital logistics information is counted to obtain the number of times each data generation time occurs; Based on the intelligent management terminal, the number of occurrences of each data generation time is compared and analyzed to obtain hospital logistics information with no duplicate data.

[0007] Preferably, the step of performing data comparison and analysis on the frequency of occurrence of each data generation time based on the intelligent management terminal to obtain hospital logistics information without duplicate data specifically includes the following steps: Based on the intelligent management terminal, the number of times each data generation time occurs is judged and processed; If there are more than one occurrences of each data generation time, the hospital logistics information corresponding to the data with more than one occurrences is compared and processed based on the intelligent management terminal to obtain hospital logistics information without duplicate data. If each data generation time occurs once, the hospital logistics information to be managed is set to have no duplicate data based on the intelligent management terminal.

[0008] Preferably, the step of performing data comparison processing on hospital logistics information corresponding to data with more than one based on the intelligent management terminal to obtain hospital logistics information without duplicate data specifically includes the following steps: Based on the intelligent management terminal, feature extraction processing is performed on the hospital logistics information corresponding to data with more than one, and the hospital logistics information content with the same data generation time is obtained. Based on the intelligent management terminal, the hospital logistics information content with the same data generation time is judged and processed. If the hospital logistics information generated at the same time has completely identical content, based on the intelligent management terminal, redundant hospital logistics information is removed, only one hospital logistics information is retained, and it is combined with the remaining hospital logistics information to form hospital logistics information without duplicate data. If the hospital logistics information generated at the same time is not completely identical, the hospital logistics information to be managed will be set to have no duplicate data based on the intelligent management terminal.

[0009] Preferably, the step of adjusting the data format of hospital logistics information with no duplicate data based on the intelligent management terminal to obtain hospital logistics information with the same format specifically includes the following steps: Based on the intelligent management terminal, the format analysis and processing of hospital logistics information with no duplicate data are performed to obtain the format information of all hospital logistics information; Based on the intelligent management terminal, the format comparison of hospital logistics information is performed to determine the unified storage format of hospital logistics information; The intelligent management terminal adjusts the format of hospital logistics information with no duplicate data through the unified storage format of hospital logistics information, and obtains hospital logistics information in a unified format.

[0010] Preferably, the step of performing format comparison processing on the format information of hospital logistics information based on the intelligent management terminal to determine the unified storage format of hospital logistics information specifically includes the following steps: Based on the intelligent management terminal, the format information of all hospital logistics information is calculated to obtain the proportion of each format in hospital logistics information without duplicate data. Based on the intelligent management terminal, the proportion of each format in the hospital logistics information without duplicate data is filtered to determine the format type corresponding to the proportion of the largest format. Based on the intelligent management terminal, the format prediction analysis is performed on the format type corresponding to the proportion of the largest format to determine the unified storage format of hospital logistics information. The specific calculation formula for determining the unit proportion information of the maximum format is as follows:

[0011] In the formula, This is the percentage information in the largest format; This represents the percentage of each format in the hospital logistics information without duplicate data; n is the number of format percentages; max() is the maximum value function.

[0012] Preferably, the step of performing format prediction analysis on the format type corresponding to the proportion of the largest format based on the intelligent management terminal to determine the unified storage format of hospital logistics information specifically includes the following steps: Based on the intelligent management terminal, the format type corresponding to the proportion information of the largest format is analyzed and processed to determine the space occupied by the largest format. The intelligent management terminal performs memory calculations on hospital logistics information with no duplicate data by using the maximum format space-occupying information to obtain the space-occupying information of the data after the maximum format conversion; Based on the intelligent management terminal, the space occupied by the data after the maximum format conversion is compared and analyzed to determine the unified storage format of hospital logistics information.

[0013] Preferably, the step of comparing and analyzing the space occupied by the data after maximum format conversion based on the intelligent management terminal to determine the unified storage format of hospital logistics information specifically includes the following steps: Based on the intelligent management terminal, data retrieval and processing are performed on the data storage device to obtain the remaining storage space of the data storage device; Based on the intelligent management terminal, the space occupied by the data after the maximum format conversion and the remaining storage space of the data storage device are judged and processed. If the data space occupied after the maximum format conversion is greater than or equal to the remaining storage space of the data storage device, the intelligent management terminal selects the format type corresponding to the proportion information of the smaller than the maximum format for memory calculation. When the data space occupied after the format conversion is less than the remaining storage space of the data storage device, the conversion format corresponding to the smaller than the remaining storage space of the data storage device is set as the unified storage format of the hospital logistics information. If the space occupied by the data after the maximum format conversion is less than the remaining storage space of the data storage device, the format type corresponding to the percentage information of the maximum format will be set to the unified format for pharmaceuticals based on the intelligent management terminal.

[0014] Furthermore, an artificial intelligence-based hospital logistics information management system is proposed to implement the aforementioned artificial intelligence-based hospital logistics information management method, including: The intelligent management terminal is used to control the data transmission and information interaction between various modules. The intelligent management terminal is also used to control the various modules to perform repetitive analysis and data format adjustment processing on the hospital logistics information to be managed, and to store the hospital logistics information with the same format into the data storage device. A database system for storing hospital logistics information to be managed; The data duplication analysis module is used to perform data duplication analysis on the hospital logistics information to be managed, remove duplicate data in the hospital logistics information to be managed, and obtain hospital logistics information without duplicate data. The data format adjustment module is used to perform format analysis and processing on hospital logistics information with no duplicate data, convert the format of the hospital logistics information with no duplicate data into the same format, and obtain hospital logistics information with the same format. The data storage module stores hospital logistics information in the same format into the data storage device.

[0015] Compared with existing technologies, the present invention provides a hospital logistics information management method and system based on artificial intelligence, which has the following beneficial effects: This invention first removes duplicate hospital logistics information from the hospital logistics information to be managed, reducing the amount of data and shortening the format conversion time of the hospital logistics information to be managed. Then, the format of the hospital logistics information without duplicate data is adjusted so that the stored hospital logistics information has the same format, making it easier for staff to read. In addition, the format adjusted hospital logistics information and the memory of the data storage device are calculated to avoid insufficient storage memory. Attached Figure Description

[0016] Figure 1This is a flowchart illustrating steps S100-S400 in an artificial intelligence-based hospital logistics information management method proposed in this invention. Figure 2 This is a structural block diagram of a hospital logistics information management system based on artificial intelligence proposed in this invention. Detailed Implementation

[0017] The following description is intended to disclose the invention and enable those skilled in the art to implement it. The preferred embodiments described below are merely examples, and other obvious variations will occur to those skilled in the art.

[0018] Reference Figure 1 As shown, an artificial intelligence-based hospital logistics information management method includes: S100: Based on the intelligent management terminal, the system retrieves and processes data from the database system to obtain hospital logistics information to be managed. S200: Based on the intelligent management terminal, perform data duplication analysis on the hospital logistics information to be managed to obtain hospital logistics information without duplicate data. S300: Based on the intelligent management terminal, the data format of hospital logistics information with no duplicate data is adjusted to obtain hospital logistics information with the same format. S400, based on intelligent management terminals, stores hospital logistics information in the same format into data storage devices; Those skilled in the art will understand that, due to different habits, the data formats used by each person may be different, so the format of hospital logistics information may also be different. When hospital logistics information needs to be stored, if the format of the hospital logistics information is not adjusted, it will result in a chaotic format of the hospital logistics information. When the hospital logistics information is retrieved later, the format of the hospital logistics information also needs to be adjusted, which will prolong the subsequent data analysis time. Example

[0019] Step S200: Based on the intelligent management terminal, perform data duplication analysis on the hospital logistics information to be managed to obtain hospital logistics information without duplicate data. This specifically includes the following steps: S201. Based on the intelligent management terminal, feature data extraction and processing are performed on the hospital logistics information to be managed to obtain the data generation time of the hospital logistics information; S202. Based on the intelligent management terminal, count the data generation time of hospital logistics information and obtain the number of times each data generation time occurs; S203. Based on the intelligent management terminal, perform data comparison and analysis on the number of occurrences of each data generation time to obtain hospital logistics information without duplicate data. Specifically, step S203, which involves performing data comparison and analysis on the frequency of occurrence of each data generation time based on the intelligent management terminal to obtain hospital logistics information with no duplicate data, includes the following steps: S2031. Based on the intelligent management terminal, determine the number of times each data generation time occurs; S2032. If there are more than one data in the number of occurrences of each data generation time, based on the intelligent management terminal, perform data comparison processing on the hospital logistics information corresponding to the data with more than one occurrence, and obtain hospital logistics information without duplicate data. S2033. If the number of occurrences of each data generation time is equal to one, based on the intelligent management terminal, set the hospital logistics information to be managed as hospital logistics information without duplicate data. Specifically, step S2032, based on the intelligent management terminal, involves data comparison processing of hospital logistics information corresponding to data with more than one record to obtain hospital logistics information without duplicate data. This includes the following steps: S20321. Based on the intelligent management terminal, perform feature extraction processing on the hospital logistics information corresponding to data with a value greater than one, and obtain the hospital logistics information content with the same data generation time. S20322. Based on the intelligent management terminal, the hospital logistics information content with the same data generation time is judged and processed. S20323. If the hospital logistics information generated at the same time is completely identical, based on the intelligent management terminal, the redundant hospital logistics information is removed, only one hospital logistics information is retained, and it is combined with the remaining hospital logistics information to form hospital logistics information without duplicate data. S20324. If the hospital logistics information generated at the same time is not completely identical, the hospital logistics information to be managed shall be set to hospital logistics information without duplicate data based on the intelligent management terminal. In this embodiment, in order to complete the format conversion of the hospital logistics information to be managed more quickly, the amount of data in the hospital logistics information to be managed can be reduced. However, the amount of data in the hospital logistics information to be managed cannot be reduced arbitrarily. If the amount of data in the hospital logistics information to be managed is reduced arbitrarily, it may lead to the loss of hospital logistics information. Therefore, data duplication analysis is performed on the hospital logistics information to be managed to determine whether there is any duplicate data in the hospital logistics information to be managed. Example

[0020] Step S300: Based on the intelligent management terminal, the data format of hospital logistics information with no duplicate data is adjusted to obtain hospital logistics information with the same format. This specifically includes the following steps: S301. Based on the intelligent management terminal, perform format analysis and processing on hospital logistics information with no duplicate data to obtain the format information of all hospital logistics information. S302. Based on the intelligent management terminal, perform format comparison processing on the format information of hospital logistics information to determine the unified storage format of hospital logistics information. S303, the intelligent management terminal adjusts the format of hospital logistics information without duplicate data through the unified storage format of hospital logistics information, and obtains hospital logistics information in a unified format; In this embodiment, in order to manage the hospital logistics information to be managed in a unified manner, it is necessary to store the hospital logistics information to be managed in a data storage device. However, the storage space of the data storage device is limited. When the space occupied by the hospital logistics information to be managed is greater than the remaining storage space of the data storage device, the data storage device cannot store the hospital logistics information to be managed. Therefore, when the remaining storage space of the data storage device is insufficient to store the hospital logistics information to be managed, the data storage device performs space clearing to make it have enough storage space for storing the hospital logistics information to be managed. Specifically, step S302, which involves comparing the format information of hospital logistics information based on the intelligent management terminal to determine the unified storage format of hospital logistics information, includes the following steps: S3021. Based on the intelligent management terminal, calculate the format information of all hospital logistics information and obtain the proportion of each format in the hospital logistics information without duplicate data. S3022. Based on the intelligent management terminal, the proportion of each format in the hospital logistics information without duplicate data is filtered and processed to determine the format type corresponding to the proportion of the largest format. S3023. Based on the intelligent management terminal, perform format prediction analysis on the format type corresponding to the proportion information of the largest format, and determine the unified storage format of hospital logistics information. The specific calculation formula for determining the unit proportion information of the maximum format is as follows:

[0021] In the formula, This is the percentage information in the largest format; This represents the proportion of each format in the hospital logistics information with no duplicate data; n is the number of format proportions; max() is the maximum value function; Specifically, step S3023, based on the intelligent management terminal, involves performing format prediction analysis on the format type corresponding to the proportion information of the largest format to determine the unified storage format of hospital logistics information, which includes the following steps: S30231. Based on the intelligent management terminal, analyze and process the format type corresponding to the proportion information of the largest format to determine the space occupied by the largest format. S30232. The intelligent management terminal performs memory calculations on hospital logistics information with no duplicate data using the maximum format space-occupying information to obtain the space-occupying information of the data after the maximum format conversion. S30233. Based on the intelligent management terminal, compare and analyze the space occupied by the data after the maximum format conversion to determine the unified storage format of hospital logistics information. Specifically, step S30233, based on the intelligent management terminal, involves comparative analysis of the data space occupied after maximum format conversion to determine the unified storage format for hospital logistics information. This includes the following steps: S302331. Based on the intelligent management terminal, perform data retrieval processing on the data storage device to obtain the remaining storage space of the data storage device; S302332. Based on the intelligent management terminal, the space occupied by the data after the maximum format conversion and the remaining storage space of the data storage device are judged and processed. S302333. If the space occupied by the data after the maximum format conversion is greater than or equal to the remaining storage space of the data storage device, the intelligent management terminal selects the format type corresponding to the proportion information of the smaller than the maximum format for memory calculation. When the space occupied by the data after the format conversion is less than the remaining storage space of the data storage device, the conversion format corresponding to the smaller than the remaining storage space of the data storage device is set as the unified storage format of the hospital logistics information. S302334. If the space occupied by the data after the maximum format conversion is less than the remaining storage space of the data storage device, the format type corresponding to the percentage information of the maximum format shall be set to the unified format for pharmaceuticals based on the intelligent management terminal. In this embodiment, in order to avoid large-scale changes to the format of the hospital logistics information to be managed, the format of all hospital logistics information is analyzed, and the format most frequently used in the hospital logistics information is used as the reference format for adjustment. However, different data formats will occupy different amounts of space. Therefore, memory calculation is performed on the data that needs to be formatted. If the hospital logistics information after formatting cannot be stored in the data storage device, a new data format is selected for storage so that it can be stored in the data storage device.

[0022] Reference Figure 2 As shown, an artificial intelligence-based hospital logistics information management system is used to implement the aforementioned artificial intelligence-based hospital logistics information management method, including: The intelligent management terminal is used to control the data transmission and information interaction between various modules. The intelligent management terminal is also used to control the various modules to perform repetitive analysis and data format adjustment processing on the hospital logistics information to be managed, and to store the hospital logistics information with the same format into the data storage device. A database system for storing hospital logistics information to be managed; The data duplication analysis module is used to perform data duplication analysis on the hospital logistics information to be managed, remove duplicate data in the hospital logistics information to be managed, and obtain hospital logistics information without duplicate data. The data format adjustment module is used to perform format analysis and processing on hospital logistics information with no duplicate data, convert the format of the hospital logistics information with no duplicate data into the same format, and obtain hospital logistics information with the same format. The data storage module stores hospital logistics information in the same format into the data storage device.

[0023] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention. The scope of protection claimed by the appended claims and their equivalents is defined.

Claims

1. A hospital logistics information management method based on artificial intelligence, characterized in that, include: Based on the intelligent management terminal, data is retrieved and processed from the database system to obtain hospital logistics information to be managed; Based on the intelligent management terminal, data duplication analysis is performed on the hospital logistics information to be managed to obtain hospital logistics information without duplicate data. Based on the intelligent management terminal, the data format of hospital logistics information with no duplicate data is adjusted to obtain hospital logistics information with the same format. Based on the intelligent management terminal, hospital logistics information in the same format is stored in the data storage device.

2. The hospital logistics information management method based on artificial intelligence according to claim 1, characterized in that, The process of performing data duplication analysis on the hospital logistics information to be managed based on the intelligent management terminal to obtain hospital logistics information without duplicate data specifically includes the following steps: Based on the intelligent management terminal, feature data extraction and processing are performed on the hospital logistics information to be managed to obtain the data generation time of the hospital logistics information; Based on the intelligent management terminal, the data generation time of hospital logistics information is counted to obtain the number of times each data generation time occurs; Based on the intelligent management terminal, the number of occurrences of each data generation time is compared and analyzed to obtain hospital logistics information with no duplicate data.

3. The hospital logistics information management method based on artificial intelligence according to claim 2, characterized in that, The process of using an intelligent management terminal to compare and analyze the frequency of occurrence of each data generation time to obtain hospital logistics information with no duplicate data specifically includes the following steps: Based on the intelligent management terminal, the number of times each data generation time occurs is judged and processed; If there are more than one occurrences of each data generation time, the hospital logistics information corresponding to the data with more than one occurrences is compared and processed based on the intelligent management terminal to obtain hospital logistics information without duplicate data. If each data generation time occurs once, the hospital logistics information to be managed is set to have no duplicate data based on the intelligent management terminal.

4. The hospital logistics information management method based on artificial intelligence according to claim 3, characterized in that, The process of comparing and processing data corresponding to hospital logistics information with more than one data point based on the intelligent management terminal to obtain hospital logistics information without duplicate data specifically includes the following steps: Based on the intelligent management terminal, feature extraction processing is performed on the hospital logistics information corresponding to data with more than one, and the hospital logistics information content with the same data generation time is obtained. Based on the intelligent management terminal, the hospital logistics information content with the same data generation time is judged and processed. If the hospital logistics information generated at the same time is completely identical, based on the intelligent management terminal, redundant hospital logistics information is removed, only one hospital logistics information is retained, and it is combined with the remaining hospital logistics information to form hospital logistics information without duplicate data. If the hospital logistics information generated at the same time is not completely identical, the hospital logistics information to be managed will be set to have no duplicate data based on the intelligent management terminal.

5. The hospital logistics information management method based on artificial intelligence according to claim 4, characterized in that, The process of adjusting the data format of hospital logistics information with no duplicate data based on the intelligent management terminal to obtain hospital logistics information with the same format specifically includes the following steps: Based on the intelligent management terminal, the format analysis and processing of hospital logistics information with no duplicate data are performed to obtain the format information of all hospital logistics information; Based on the intelligent management terminal, the format comparison of hospital logistics information is performed to determine the unified storage format of hospital logistics information; The intelligent management terminal adjusts the format of hospital logistics information with no duplicate data through the unified storage format of hospital logistics information, and obtains hospital logistics information in a unified format.

6. The hospital logistics information management method based on artificial intelligence according to claim 5, characterized in that, The process of comparing the format information of hospital logistics information based on the intelligent management terminal to determine the unified storage format of hospital logistics information specifically includes the following steps: Based on the intelligent management terminal, the format information of all hospital logistics information is calculated to obtain the proportion of each format in hospital logistics information without duplicate data. Based on the intelligent management terminal, the proportion of each format in the hospital logistics information without duplicate data is filtered to determine the format type corresponding to the proportion of the largest format. Based on the intelligent management terminal, the format prediction analysis is performed on the format type corresponding to the proportion of the largest format to determine the unified storage format of hospital logistics information. The specific calculation formula for determining the unit proportion information of the maximum format is as follows: ； In the formula, This is the percentage information in the largest format; This represents the percentage of each format in the hospital logistics information without duplicate data; n is the number of format percentages; max() is the maximum value function.

7. The hospital logistics information management method based on artificial intelligence according to claim 6, characterized in that, The process of determining the unified storage format for hospital logistics information by performing format prediction analysis on the format type corresponding to the proportion of the largest format based on the intelligent management terminal includes the following steps: Based on the intelligent management terminal, the format type corresponding to the proportion information of the largest format is analyzed and processed to determine the space occupied by the largest format. The intelligent management terminal performs memory calculations on hospital logistics information with no duplicate data by using the maximum format space-occupying information to obtain the space-occupying information of the data after the maximum format conversion; Based on the intelligent management terminal, the space occupied by the data after the maximum format conversion is compared and analyzed to determine the unified storage format of hospital logistics information.

8. The hospital logistics information management method based on artificial intelligence according to claim 7, characterized in that, The process of comparing and analyzing the space occupied by data after maximum format conversion based on the intelligent management terminal to determine the unified storage format for hospital logistics information includes the following steps: Based on the intelligent management terminal, data retrieval and processing are performed on the data storage device to obtain the remaining storage space of the data storage device; Based on the intelligent management terminal, the space occupied by the data after the maximum format conversion and the remaining storage space of the data storage device are judged and processed. If the data space occupied after the maximum format conversion is greater than or equal to the remaining storage space of the data storage device, the intelligent management terminal selects the format type corresponding to the proportion information of the smaller than the maximum format for memory calculation. When the data space occupied after the format conversion is less than the remaining storage space of the data storage device, the conversion format corresponding to the smaller than the remaining storage space of the data storage device is set as the unified storage format of the hospital logistics information. If the space occupied by the data after the maximum format conversion is less than the remaining storage space of the data storage device, the format type corresponding to the percentage information of the maximum format will be set to the unified format for pharmaceuticals based on the intelligent management terminal.

9. An artificial intelligence-based hospital logistics information management system, used to implement the artificial intelligence-based hospital logistics information management method as described in any one of claims 1-8, characterized in that, include: The intelligent management terminal is used to control the data transmission and information interaction between various modules. The intelligent management terminal is also used to control the various modules to perform repetitive analysis and data format adjustment processing on the hospital logistics information to be managed, and to store the hospital logistics information with the same format in the data storage device. A database system for storing hospital logistics information to be managed; The data duplication analysis module is used to perform data duplication analysis on the hospital logistics information to be managed, remove duplicate data in the hospital logistics information to be managed, and obtain hospital logistics information without duplicate data. The data format adjustment module is used to perform format analysis and processing on hospital logistics information with no duplicate data, convert the format of the hospital logistics information with no duplicate data into the same format, and obtain hospital logistics information with the same format. The data storage module stores hospital logistics information in the same format into the data storage device.

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