Methods, equipment, and systems for providing management resource and customer information management solutions for hospital management

Abstract

This invention relates to a method, apparatus, and system for providing management resource and customer information management solutions for hospital management support. It can comprehensively manage hospital management resources (human resources, facilities / facilities, consumables, medicines, etc.) and customer information, thereby optimizing hospital management methods and improving the quality of hospital services.

Description

Technical Field

[0001] The following embodiments relate to methods, apparatus, and systems for providing management resource and customer information management solutions to support hospital management. These solutions can comprehensively manage hospital management resources (human resources, facilities / facilities, consumables, medicines, etc.) and customer information to optimize hospital management methods and improve hospital service quality. Background Technology

[0002] Apart from large medical institutions, general hospitals and clinics lack the means to analyze their own operating performance. Therefore, most of them simply rely on the professional knowledge of their managers for accounting or management analysis. They operate based solely on their own judgment and do not receive any special advice or analysis / consultation regarding their operating performance.

[0003] Due to advancements in medical technology, communication services, and logistics, as well as changes in medical costs, prices, and consumer (patient) needs, there is a growing demand for private hospitals and clinics. They require more systematic management of resources and customer information, similar to large medical institutions.

[0004] However, these private hospitals and clinics are unable to meet these needs due to a lack of information, experience, funding, and human resources related to management.

[0005] Existing technical documents

[0006] [Patent Documents]

[0007] (Patent Document 1) KR 10-2685659B

[0008] (Patent Document 2) KR 10-1917852B

[0009] (Patent Document 3) KR 10-2004444B Summary of the Invention

[0010] [Problems that need to be solved]

[0011] One embodiment of the present invention addresses the problem of providing a method, apparatus, and system for providing management resource and customer information management solutions to support hospital management. These solutions enable the effective management of management resources (human resources, facilities / facilities, consumables, medicines, etc.) held by small and medium-sized hospitals and large hospitals, and improve the quality of hospital services by managing customer information and combining management resources with customer information.

[0012] [Solutions to the problem]

[0013] According to one embodiment, the device includes a processor, a memory, a communication module, and a non-temporary storage medium. The processor executes a program stored in the non-temporary storage medium to provide a management resource and customer information management solution for hospital management support. The method involves receiving management resource information from a medical institution terminal; receiving customer information from the medical institution terminal; generating operational optimization strategy information based on the management resource information and customer information; and transmitting the operational optimization strategy information to the medical institution terminal. The step of generating the operational optimization strategy information includes: generating drug order information; generating facility and equipment maintenance plan information; and returning the operational optimization strategy information, including the drug order information and facility and equipment maintenance plan information. It provides a management resource and customer information management solution to support hospital management.

[0014] In addition, the steps for creating drug order information include: reading drug inventory information from the database; extracting drug inventory for the past 5 years from the above drug inventory information; extracting drug inventory for the past 3 years from the above drug inventory information; extracting drug inventory for the past 1 year from the above drug inventory information; calculating the average monthly drug demand based on the drug inventory for the past 5 years; calculating the average weekly drug demand based on the drug inventory for the past 3 years; calculating the drug demand for the next month based on the above average monthly drug demand; summing the average weekly drug demand for the corresponding state in the following month to calculate the total drug demand for the next month; and calculating the "weekly average" for each parking lot corresponding to the next month. The formula is "Average drug demand / Total demand in the next month", and is specified as the weekly demand ratio for the next month. The first step is to calculate the demand for next week, which is the weekly demand ratio for the next month and the corresponding stop value for next week in the drug demand for the next month. Based on the drug inventory situation over the past year, extract the drug consumption of the previous week. Extract the average drug demand for the previous week. Calculate the correction rate by calculating "Drug consumption over the past year / Drug quantity of the previous week". The first step is to multiply the demand for next week by the correction rate for the second step to calculate the demand for next week. Extract the current drug inventory from the above drug inventory information. The second step is to subtract the current drug inventory for the third demand for next week from the demand for next week. It can be used to include...

[0015] Furthermore, the steps for generating facility and equipment maintenance plan information are as follows: calculate the number of available days based on non-working day information; calculate the monthly customer visit count based on the aforementioned customer information; calculate the customer visit count for each parking lot based on the aforementioned customer information; calculate the weekly and daily customer visit count based on the aforementioned customer information; the first maintenance month is the month with the fewest monthly customer visits; in the first year and the second half of the following year, extract the second maintenance month from the six-month period excluding the first maintenance month, i.e., the month with the fewest monthly customer visits; in the fourth quarter of the following year, extract the third maintenance month from each quarter excluding the first and second maintenance months, i.e., the month with the fewest monthly customer visits. During the first maintenance month, extract the parking lot with the fewest customer visits per parking space, i.e., maintenance parking space 1-1; during the second maintenance month, extract the parking lot with the fewest customer visits per parking space, i.e., maintenance parking space 2-1; during the third maintenance month, extract the parking lot with the fewest customer visits per parking space, i.e., maintenance parking space 3-1; extract the maintenance day of the week with the fewest customer visits per day during the maintenance period of the parking lot 1-1; extract the maintenance day of the week with the fewest customer visits per day during the maintenance period of the parking lot 2-1; extract the maintenance day of the week with the fewest customer visits per day during the maintenance period of the parking lot 2-1; extract the maintenance day of the week with the fewest customer visits per day during the maintenance period of the parking lot 3-1. During this period, the day with the fewest customer visits per day of the week; if the available dates include 1-1 maintenance days: specify 1-1 maintenance days as the annual maintenance days; if 1-1 maintenance days are not included in the available dates: extract 1-2 maintenance parking lots, i.e., the parking lot with the second lowest customer visits per parking lot in the first maintenance month, extract 1-2 maintenance days, i.e., the 1-2 maintenance days, i.e., the days of the week with the fewest customer visits per day in the 1-2 maintenance parking lots; if the available dates include 1-2 maintenance days: specify 1-2 maintenance days as the annual maintenance days; if the available dates do not include 1-2 maintenance days: extract 1-3 maintenance parking spaces, i.e., each parking space in the first maintenance month... For the parking lot with the third lowest customer visits, extract maintenance days 1-3, which are the days of the week with the fewest customer visits during maintenance period 1-3. If the available dates include maintenance days 1-3: designate maintenance days 1-3 as annual maintenance days. If the number of days in maintenance week 1-3 is not included in the available dates: designate the dates included in the available dates during maintenance period 1-1 as annual maintenance days, or designate the dates included in the available dates during maintenance period 1-2 as annual maintenance days, or designate the dates included in the available dates during maintenance period 1-3 as annual maintenance days. If maintenance day 2-1 is included in the available dates: designate the dates of maintenance week 2-1 as semi-annual maintenance days.If maintenance day 2-1 is not included in the available dates: extract maintenance day 2-2 (the parking lot with the second lowest customer visits per parking lot in the second maintenance month), and extract maintenance day 2-2 (the days of the week with the fewest customer visits per day during maintenance day 2-2); if the available dates include maintenance day 2-2: designate maintenance day 2-2 as the semi-annual maintenance days; if maintenance day 2-2 is not included in the available dates: extract maintenance day 2-3 (the parking lot with the third lowest customer visits per parking lot in the second maintenance month), and extract maintenance day 2-3. That is, the days of the week with the fewest customer visits during the 2-3 maintenance shutdown period; if the number of available maintenance days includes 2-3 maintenance days: designate the 2-3 maintenance days as semi-annual maintenance days; if the 2-3 maintenance days are not included in the available dates: designate the dates included in the available dates during the 2-1 maintenance shutdown period as semi-annual maintenance days, or designate the dates included in the available dates during the 2-2 maintenance shutdown period as semi-annual maintenance days, or designate the dates included in the available dates during the 2-3 maintenance shutdown period as semi-annual maintenance days; if the maintenance day of March 1st is included in the available dates: designate the 3... The maintenance date of March 1st is designated as the semi-annual maintenance date; if the March 1st maintenance date is not included in the available dates: extract the parking spaces maintained in March 2nd, i.e., the parking lot with the second lowest number of customer visits per parking lot in the third maintenance month, and extract the March 2nd maintenance day, i.e., the day of the week with the fewest customer visits per day during the March 2nd maintenance period; if the March 2nd maintenance date is included in the available days: designate the March 2nd maintenance date as the quarterly maintenance date; if the March 2nd maintenance date is not included in the available dates: extract the parking lots maintained in March 3rd, i.e., the parking lots with the third lowest number of customer visits per parking lot in the third maintenance month. Extract 3-3 maintenance days, i.e., the days with the fewest customer visits per day of the week; if the available dates include 3-3 maintenance days: designate 3-3 maintenance days as quarterly maintenance days; if 3-3 maintenance days are not included in the available dates: designate the dates included in the available dates during the 3-1 maintenance shutdown period as quarterly maintenance days, or designate the dates included in the available dates during the 3-2 maintenance shutdown period as quarterly maintenance days, or designate the dates included in the available dates during the 3-3 maintenance shutdown period as quarterly maintenance days. Extract the fourth maintenance month, i.e., January to December of the following year, where annual, semi-annual, and quarterly maintenance days are not specified; and designate the first day of the available days included in each maintenance month of the above fourth maintenance month as the monthly maintenance day; it can be used to include;

[0016] Furthermore, the process involves receiving first patient information from a patient terminal; predicting disease risk information based on the patient's unique ID, disease-specific diagnosis date, age, blood type, family history, place of residence, occupation, gender, exercise level, sleep pattern, smoking, alcohol consumption, economic status, and recent travel destination information; and transmitting the disease information to the patient terminal. The steps for predicting disease development risk are: generating a disease-specific third matrix based on third patient information received from multiple patient terminals; dividing each element in the third matrix into multiple third clusters using the unsupervised classification model K-Means clustering; extracting the fourth cluster, i.e., the third cluster corresponding to the first patient information; extracting the first unique ID, i.e., the patient identifier of other patients included in the fourth cluster; extracting the fifth cluster from all the aforementioned third clusters, excluding the fourth cluster; calculating the class ratio of each cluster in the fifth cluster, i.e., "the number of first unique numbers in the fifth cluster / the number of rows in the fifth cluster"; extracting the sixth cluster, i.e., the fifth cluster with a similarity rate higher than a specified reference value; and returning disease information corresponding to the sixth cluster as having a development risk. This can be used for including...

[0017] In addition, the device also includes a processor, memory, communication module, and non-temporary storage medium. The processor executes programs stored in the non-temporary storage medium to attract foreign patients and provide medical information management platform services. This involves receiving first patient information and medical consultation request information from the patient terminal; matching information from multiple first medical institutions based on the first patient information and medical consultation request information; transmitting the first medical institution information to the patient terminal; receiving information about second medical institutions and appointments selected from the first medical institution information from the patient terminal; and transmitting the first patient information, medical consultation request information, and appointment information to the medical institution terminal corresponding to the second medical institution information. The step of matching first medical institution information involves reading from the database. Information from multiple third-party medical institutions; create a first matrix, with the second patient information contained in the third-party medical institution information as "rows" and nationality, disease code, number of visits to South Korea, travel destination code, and budget range as "columns"; create a second matrix by adding the nationality, disease code, number of visits to South Korea, travel destination code, and budget range contained in the first patient information to the first matrix; divide the second matrix into multiple first clusters according to the unsupervised classification model K-Means clustering; extract the second clusters from the first clusters, i.e., the first clusters containing the first patient information; extract the information of the third-party medical institutions corresponding to the second patient information contained in the second clusters and designate them as the fourth-party medical institution information; and return the information of the first-party medical institutions; it can be used to include...

[0018] According to one embodiment, the device can be controlled by a computer program stored on a medium in combination with hardware to perform any of the methods described above.

[0019] [Invention Effects]

[0020] For example, online platforms can introduce medical institutions that suit the preferences and purposes of foreign patients visiting healthcare facilities.

[0021] In addition, foreign patients can choose from a list of several medical institutions.

[0022] Furthermore, not only large hospitals, but also small and medium-sized hospitals can effectively manage their administrative resources (human resources, facilities / facilities, consumables, medicines, etc.).

[0023] Furthermore, linking customer information and management resources can improve the quality of hospital services.

[0024] Furthermore, based on unsupervised learning classification models, information about foreign patients can be compared with information about a large number of other foreign patients who have visited medical institutions, and medical institutions visited by many people with similar information to foreign patients can be recommended / curated.

[0025] In addition, by forecasting demand and adjusting the drug inventory of medical institutions within an appropriate range, shortages or surpluses of drugs can be prevented.

[0026] In addition, on days when medical staff / equipment are not busy, the facilities / equipment of medical institutions can be properly maintained.

[0027] In addition, based on the client's illness or other information, the client (patient) can be notified of other diseases with a higher risk of future development.

[0028] [Brief Description of Drawings]

[0029] Figure 1 This is a schematic diagram illustrating a system that provides management resources and customer information management solutions for hospital management support according to an embodiment of the present invention.

[0030] Figure 2 This is a flowchart illustrating a method for attracting foreign patients and providing medical information management platform services according to an embodiment of the present invention.

[0031] Figure 3 It is a flowchart illustrating a method for providing management resources and customer information management solutions for hospital management support according to an example of the present invention.

[0032] Figure 4This is a flowchart illustrating the steps of matching information of a first medical institution with a method for providing management resources and customer information management solutions for hospital management support according to an embodiment of the present invention.

[0033] [Specific details of the invention]

[0034] The embodiments are described in detail below with reference to the accompanying drawings. However, various modifications can be made to the embodiments, and therefore the scope of the patent application is not limited to or restricted by these embodiments. Any changes, equivalents, or substitutions to the embodiments should be understood to be included within the scope of the claims.

[0035] The specific structural or functional descriptions of the embodiments are provided for illustrative purposes only and may be modified and implemented in various forms. Therefore, the embodiments are not limited to a particular form of disclosure, and the scope of this specification includes changes, uniformities, or substitutions incorporated into the descriptive concepts.

[0036] Terms such as first or second can be used to describe various components, but the interpretation of these terms should only be used to distinguish one component from another. For example, the first component can be named the second component, and similarly, the second component can be named the first component.

[0037] When a component is said to be "connected" to another component, it should be understood that it may be directly connected to or connected to another component, but there may be another component between them.

[0038] The terminology used in the embodiments is for illustrative purposes only and should not be construed as restrictive. Singular expressions include plural expressions unless the context clearly implies otherwise. In this specification, the terms "comprising" or "having" should be understood to mean the presence of the functions, numbers, steps, actions, components, parts, or combinations thereof described herein, and should not exclude the presence or addition of one or more other functions or numbers, steps, actions, components, parts, or combinations thereof.

[0039] The expressions 'end', 'both ends', 'one end', 'other end', and 'side end' for a component can be interpreted as referring to at least one end of the component.

[0040] Unless otherwise defined, all terms used herein, including technical or scientific terms, shall have the same meaning as commonly understood by one of ordinary skill in the art to which the embodiments pertain. Terms such as those defined in common dictionaries shall be interpreted as having the meaning consistent with their meaning in the relevant descriptive context and shall not be interpreted in an idealistic or overly formal sense unless expressly defined in this application.

[0041] Furthermore, when describing the accompanying drawings, regardless of the drawing code, the same reference numerals should be assigned to the same elements, and identical repetitive descriptions should be omitted. When describing embodiments, detailed descriptions should be omitted if it is determined that a specific description of the relevant technical notifications may unnecessarily obscure the essential points of the embodiment.

[0042] According to one embodiment, the device includes a processor, a memory, a communication module, and a non-temporary storage medium, and a process for receiving first patient information and medical consultation request information from a patient terminal in a manner that attracts foreign patients and provides medical information management platform services. This process is performed by the processor by executing a program stored in the non-temporary storage medium. The process includes: matching information from multiple primary healthcare institutions based on the aforementioned first-visit patient information and medical consultation request information; transmitting the information of the first healthcare institution to the patient terminal; receiving information and appointment information from the patient terminal of any selected first healthcare institution; transmitting the first patient information, medical consultation request information, and appointment information to the healthcare institution terminal corresponding to the second healthcare institution information; the step of matching the first healthcare institution information includes: reading information from multiple third healthcare institutions from a database; creating a first matrix, with the second patient information contained in the third healthcare institution information as "rows" and nationality, disease code, number of visits to South Korea, tourist destination code, and budget range as "columns"; creating a second matrix by adding the nationality, disease code, number of visits to South Korea, tourist destination code, and budget range contained in the aforementioned first patient information to the first matrix; and using the unsupervised classification model K-Means. Clustering divides the second matrix into multiple first clusters; extracts the second cluster from the first cluster, i.e., the first cluster containing the first patient information; extracts the information of the third medical institution corresponding to the second patient information contained in the second cluster, and designates it as the fourth medical institution information; returns the information of the fourth medical institution to the first medical institution information; it provides a way to attract foreign patients and provide medical information management platform services.

[0043] The device can be a server computer capable of sending and receiving data with patient terminals / client terminals, medical institution terminals / medical staff terminals, etc.

[0044] Receive first patient information and medical consultation request information from the patient's terminal; receive foreign patient information (including personal information, physical information, existing medical records, etc.) and medical consultation requests from the foreign patient's terminal (smartphone, personal computer, etc.).

[0045] *33 Based on the above initial patient information and medical consultation request information, match information from multiple primary healthcare institutions; based on the patient's medical consultation request, analyze the information of the first patient and match information from multiple initial medical institutions.

[0046] The term “plural” as used in the description of this invention can be interpreted as referring to two or more, while “many” can be interpreted as referring to three or more.

[0047] Transmit the information from the primary medical institution to the patient's terminal; respond to the patient's terminal / first patient information, and transmit matching information from multiple primary medical institutions to the patient's terminal.

[0048] The patient's terminal confirms this and selects at least one medical institution that the foreign patient desires.

[0049] Receive information and appointment information from the patient terminal of any primary medical institution selected for information from the primary medical institution; receive appointment information from the medical institution selected by the patient, and receive appointment information for consultation appointment time slots applied for by foreign patients within the numerous time slots of the medical institution.

[0050] The system transmits the first patient information, medical consultation request information, and appointment information to the medical institution terminal corresponding to the second medical institution information; it also transmits information related to the patient information to the medical institution that matches the patient's device (appointment time, requested medical consultation information, patient's medical history / information, etc.).

[0051] Retrieve information from databases of multiple third-party medical institutions; read all information stored in databases of multiple third-party medical institutions (registered on the platform).

[0052] Create a first matrix with the second patient information contained in the third medical institution information as "rows" and nationality, disease code, number of visits to South Korea, tourist destination code, and budget range as "columns"; create a first matrix using the second patient information contained in the third medical institution information (foreign patients who have previously visited and received treatment at the third medical institution (the medical institution corresponding to the third medical institution information)).

[0053] The second matrix is ​​created by adding the nationality, disease code, number of visits to South Korea, travel destination code, and budget range contained in the first patient information to the first matrix; the information of the first patient is converted into a form corresponding to the format of each "column" of the generated first matrix and added to the first matrix to create the second matrix.

[0054] Therefore, information on foreign patients who were previously matched with medical institutions on the platform, as well as information on foreign patients currently using the platform's services, will be included as each "row" in the second matrix.

[0055] The second matrix was divided into multiple first clusters based on the unsupervised classification model K-Means Clustering; in the second matrix, the "rows" containing a large number of foreign patients were classified into multiple clusters.

[0056] Therefore, foreign patients with similar data / patterns were grouped into the same cluster based on nationality, disease code, number of visits to South Korea, tourist destination code, and budget range.

[0057] Here, data such as nationality, disease code, and tourist destination code can all be specified as integer values. For example, the nationality of a foreign patient who is Japanese might be specified as "1271".

[0058] Extract the second cluster from the first cluster, which contains the first patient information; in the first cluster, extract the first cluster containing the first patient information from the number of the first clusters classified, which contains the information (row) of foreign patients (patient terminals) who want to use the service, and designate it as the second cluster.

[0059] [Code Explanation]

[0060] *1171: Equipment

[0061] 2: Patient terminal

[0062] 3: Client Terminal

[0063] 4: Medical Institution Terminal

[0064] 5: Database

[0065] S110: Receive patient information and medical consultation requests.

[0066] S120: Matching information for the primary medical institution

[0067] S130: Steps for transmitting information from the first medical institution to the aforementioned patient terminal

[0068] S140: Steps for receiving information and appointment information from a second medical institution

[0069] S150: Send first patient information, medical consultation request information, and appointment information.

[0070] S121: Steps for obtaining information from a third-party medical institution

[0071] S122: Steps to create the first matrix

[0072] S123: Steps to create the second matrix

[0073] S124: Separate into the first cluster

[0074] S125: Steps to extract the second cluster

[0075] S126: Steps for designating information as a fourth healthcare institution

[0076] S127: Steps for returning the information from the 4th medical institution to the information from the 1st medical institution

[0077] S210: Steps for receiving management resource information

[0078] S220: Steps for Receiving Customer Information

[0079] S230: Steps for generating operational optimization strategy information

[0080] S240: Steps for transmitting operational optimization strategy information.

Claims

1. A method for providing a management resource and customer information management solution to support hospital management, wherein a processor executes a program stored in a non-temporary storage medium, wherein the device includes a processor, a memory, a communication module, and the non-temporary storage medium; receiving management resource information from a medical institution terminal; receiving customer information from a medical institution terminal; generating operational optimization strategy information based on the aforementioned management resource information and customer information; and transmitting the operational optimization strategy information to the medical institution terminal; and The steps to generate operational optimization strategy information are as follows: Create drug order information; generate facility and equipment maintenance plan information; and return operational optimization strategy information, including the aforementioned drug order information and facility and equipment maintenance plan information; including how to provide management resources and customer information management solutions to support hospital management.

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