Apparatus and method for providing drug prescription support service

Abstract

The present invention relates to an apparatus and a method for providing a drug prescription support service. More specifically, the apparatus for providing a drug prescription support service according to an embodiment of the present invention may include a memory and a processor connected to the memory, wherein the processor may receive, from a user terminal used by a user, clinical information and first prescription information corresponding to the clinical information, generate additional recommended drug information and removal recommended drug information on the basis of a past prescription history DB of other users regarding the first prescription information and the clinical information, the additional recommended drug information recommending a new drug to be added to the first prescription information, the removal recommended drug information recommending removal of a first medicine included in the first prescription information, and transmit the additional recommended drug information and the removal recommended drug information to the user terminal.

Description

Device and method for providing pharmaceutical prescription support services

[0001] The present invention relates to a device and method for providing a pharmaceutical prescription support service.

[0002] Unless otherwise indicated herein, the materials described in this section are not prior art to the claims of this application, and their inclusion in this section is not intended to be admitted as prior art.

[0003] In the case of drugs, when prescribed together, there are combinations that have positive effects and combinations that have negative effects.

[0004] Experienced physicians often prescribe medications based on their frequently used drug combinations or patterns. Providing these patterns to less experienced physicians for reference would allow them to compensate for their limited experience and deliver the most effective prescriptions.

[0005] Accordingly, the present invention proposes a technology for providing a drug prescription support service based on the drug prescription history of doctors.

[0006] [Prior Art Literature]

[0007] Patent Document 1. Republic of Korea Patent Publication No. 10-2348157 (Published on January 7, 2022)

[0008] Patent Document 2. Republic of Korea Patent Publication No. 10-2039231 (Published on October 25, 2019)

[0009] The disclosed embodiment provides a device and method for providing a pharmaceutical prescription support service.

[0010] The technical problems to be achieved in the present invention are not limited to the technical problems mentioned above, and other technical problems not mentioned can be clearly understood by a person having ordinary skill in the technical field to which the present invention belongs from the description below.

[0011] In order to achieve the above-described object, a drug prescription support service providing device according to one embodiment of the present invention includes a memory and a processor connected to the memory, wherein the processor receives clinical information and first prescription information corresponding to the clinical information from a user terminal used by a user, generates additional recommended drug information indicating an addition recommendation of a new drug to the first prescription information and removal recommended drug information indicating a removal recommendation among first drugs included in the first prescription information based on a past prescription history DB of other users for the first prescription information and the clinical information, and transmits the additional recommended drug information and the removal recommended drug information to the user terminal.

[0012] Here, clinical information may be data including patient medical records, symptoms, disease diagnosis, treatment history, surgical records, procedure records, diagnostic test results, blood test results, imaging test results, etc.

[0013] At this time, the processor can extract second prescription information about other users' prescriptions for the clinical information from the prescription history DB, extract all drugs included in the second prescription information as second drugs, extract drugs that do not overlap with the first drug among the second drugs as third drugs, derive a first prescription suitability for each third drug, and extract a third drug whose first prescription suitability exceeds a preset threshold suitability to generate the additional recommended drug information.

[0014] At this time, the first prescription suitability is derived by the mathematical formula below,

[0015]

[0016] means the first prescription suitability for drug d randomly selected from the third drugs, means the first self-suitability for the first prescription information of the above drug d, means the first single-drug suitability for the first prescription information of the above drug d, means the first dual drug compatibility for the first prescription information of the above drug d, means the first weight applied to the first self-fitting coefficient, refers to the second weight applied to the first single-drug suitability, may refer to the third weight applied to the first double-drug suitability.

[0017] At this time, the first self-fit is derived by the mathematical formula below,

[0018]

[0019] means the number of times the above drug d is prescribed in the second prescription information, may mean the average number of times the above second drugs are prescribed in the above second prescription information.

[0020] At this time, the first single-drug suitability is derived by the mathematical formula below,

[0021]

[0022] means the number of times the i-th above-mentioned first drug is prescribed in the above-mentioned second prescription information, means the number of times the i-th above-mentioned first drug and the above-mentioned drug d are prescribed simultaneously in the above-mentioned second prescription information, The i-th first drug may refer to the number of times the drug d was not prescribed in the second prescription information, and N may refer to the number of first drugs included in the first prescription information.

[0023] At this time, the first double-drug compatibility is derived by the following mathematical formula:

[0024]

[0025] means the number of times the i-th above-mentioned first drug and the j-th above-mentioned first drug are prescribed simultaneously in the above-mentioned second prescription information, means the number of times the i-th above-mentioned first drug and the j-th above-mentioned first drug and the above-mentioned drug d are prescribed simultaneously in the above-mentioned second prescription information, In the second prescription information in which the i-th first drug and the j-th first drug are prescribed at the same time, the drug d may mean the number of times that it is not prescribed, and N may mean the number of first drugs included in the first prescription information.

[0026] At this time, the processor can derive a second prescription suitability for the first drug included in the first prescription information, and extract a first drug whose second prescription suitability is lower than or equal to the threshold suitability to generate the removal recommendation drug information.

[0027] At this time, the second prescription suitability is derived by the mathematical formula below,

[0028]

[0029] means the second prescription suitability for a drug k randomly selected from the first drugs, means the second self-fit for the first prescription information of the above drug k, refers to the second single-drug suitability for the first prescription information of the above drug k, means the second dual drug compatibility for the first prescription information of the above drug k, means the first weight applied to the second self-fitting, refers to the second weight applied to the second single-drug suitability, may refer to a third weight applied to the above-mentioned second dual-drug suitability.

[0030] At this time, the second self-fit is derived by the mathematical formula below,

[0031]

[0032] means the number of times the above drug k is prescribed in the second prescription information, may mean the average number of times the above second drugs are prescribed in the above second prescription information.

[0033] At this time, the second single-drug suitability is derived by the mathematical formula below,

[0034]

[0035] means the number of times the i-th above-mentioned first drug is prescribed in the above-mentioned second prescription information, means the number of times the i-th above-mentioned first drug and the above-mentioned drug k are prescribed simultaneously in the above-mentioned second prescription information, In the second prescription information for which the first drug is prescribed, the number of times the drug k is not prescribed may be represented, and N may represent the number of first drugs included in the first prescription information.

[0036] At this time, the second double-drug compatibility is derived by the following mathematical formula:

[0037]

[0038] means the number of times the i-th above-mentioned first drug and the j-th above-mentioned first drug are prescribed simultaneously in the above-mentioned second prescription information, means the number of times the i-th above-mentioned first drug and the j-th above-mentioned first drug and the above-mentioned drug k are prescribed simultaneously in the above-mentioned second prescription information, In the second prescription information in which the i-th first drug and the j-th first drug are prescribed at the same time, the drug k may mean the number of times that the drug was not prescribed, and N may mean the number of first drugs included in the first prescription information.

[0039] At this time, the first weight is defined by the mathematical formula below,

[0040]

[0041] The above second weight is derived from the mathematical formula below,

[0042]

[0043] The above third weight is derived from the mathematical formula below:

[0044]

[0045] M may represent a preset weighting factor.

[0046] In addition, drug information classified by drug name, ingredient name, dosage information, number of doses, duration of dose, etc. can be applied to the statistical processing described above, and thus, more detailed prescription suitability can be calculated.

[0047] According to the disclosed embodiment, a device and method for providing a pharmaceutical prescription support service can be provided.

[0048] The effects that can be obtained from the present invention are not limited to the effects mentioned above, and other effects not mentioned can be clearly understood by a person having ordinary skill in the art to which the present invention belongs from the description below.

[0049] Other aspects, features and advantages of the above-described specific preferred embodiments of the present invention will become more apparent from the following description taken in conjunction with the accompanying drawings.

[0050] Figure 1 is a schematic diagram of a drug prescription support service providing device according to one embodiment of the present invention.

[0051] FIG. 2 is a drawing showing a device for providing a drug prescription support service according to one embodiment of the present invention.

[0052] FIG. 3 is a diagram illustrating a process for deriving additional recommended drug information according to one embodiment of the present invention.

[0053] FIG. 4 is a diagram showing a process for deriving removal recommendation drug information according to one embodiment of the present invention.

[0054] Figure 5 is a flowchart of a method for providing a drug prescription support service according to one embodiment of the present invention.

[0055] It should be noted that throughout the drawings, like reference numerals are used to illustrate identical or similar elements, features and structures.

[0056] The advantages and features of the present invention, and the methods for achieving them, will become clearer with reference to the embodiments described in detail below together with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below and may be implemented in various different forms. These embodiments are provided only to ensure that the disclosure of the present invention is complete and to fully inform those skilled in the art of the scope of the invention, and the present invention is defined only by the scope of the claims. Like reference numerals refer to like elements throughout the specification.

[0057] When describing embodiments of the present invention, detailed descriptions of known functions or configurations will be omitted if they are deemed to unnecessarily obscure the gist of the invention. Furthermore, the terms described below are defined based on their functions in the embodiments of the present invention and may vary depending on the intent or custom of the user or operator. Therefore, their definitions should be based on the overall content of this specification.

[0058] The advantages and features of the present invention, and the methods for achieving them, will become clearer with reference to the embodiments described in detail below together with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below and may be implemented in various different forms. These embodiments are provided only to ensure that the disclosure of the present invention is complete and to fully inform those skilled in the art of the scope of the invention, and the present invention is defined only by the scope of the claims. Like reference numerals designate like elements throughout the specification.

[0059] At this time, it will be understood that each block of the processing flowchart drawings and combinations of the flowchart drawings can be performed by computer program instructions. These computer program instructions can be installed in a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing equipment, so that the instructions executed by the processor of the computer or other programmable data processing equipment create a means for performing the functions described in the flowchart block(s). These computer program instructions can also be stored in a computer-available or computer-readable memory that can direct a computer or other programmable data processing equipment to implement the functions in a specific manner, so that the instructions stored in the computer-available or computer-readable memory can also produce a manufactured item that includes an instruction means for performing the functions described in the flowchart block(s). Since the computer program instructions may be installed on a computer or other programmable data processing device, a series of operational steps may be performed on the computer or other programmable data processing device to create a computer-executable process, and the instructions that cause the computer or other programmable data processing device to perform the steps for performing the functions described in the flowchart block(s) may also provide steps for performing the functions described in the flowchart block(s).

[0060] Additionally, each block may represent a module, segment, or portion of code that contains one or more executable instructions for performing a specific logical function(s). It should also be noted that in some alternative implementation examples, the functions described in the blocks may occur out of order. For example, two blocks depicted in succession may actually be executed substantially concurrently, or the blocks may sometimes be executed in reverse order, depending on their respective functions.

[0061] Here, the term '~ part' used in the present embodiment means software or hardware components such as FPGA (field-programmable gate array) or ASIC (application specific integrated circuit), and the '~ part' performs certain roles. However, the '~ part' is not limited to software or hardware. The '~ part' may be configured to be on an addressable storage medium and may be configured to play one or more processors. Therefore, as an example, the '~ part' includes components such as software components, object-oriented software components, class components, and task components, processes, functions, properties, procedures, subroutines, segments of program code, drivers, firmware, microcode, circuits, data, databases, data structures, tables, arrays, and variables. The functions provided within the components and '~ parts' may be combined into a smaller number of components and '~ parts' or further separated into additional components and '~ parts'. Additionally, components and '~parts' may be implemented to regenerate one or more CPUs within a device or secure multimedia card.

[0062] In specifically describing embodiments of the present invention, examples of specific systems will be primarily used, but the main points claimed in this specification can be applied to other communication systems and services having similar technical backgrounds without significantly departing from the scope disclosed in this specification, and this can be done at the discretion of a person skilled in the relevant technical field.

[0063]

[0064] Hereinafter, a device for providing a drug prescription support service according to one embodiment of the present invention will be described in detail with reference to the attached drawings.

[0065] Figure 1 is a schematic diagram of a drug prescription support service providing device according to one embodiment of the present invention.

[0066] Referring to FIG. 1, a device for providing a drug prescription support service according to one embodiment of the present invention receives prescription information prescribed by a doctor from a user terminal used by a user prescribing a drug, i.e., a doctor, and reviews the prescription information most suitable for the same disease based on past history, thereby providing the user with a combination of drugs most suitable for clinical information.

[0067] At this time, the user terminal (200) may include a desktop computer, laptop computer, notebook, smart phone, tablet PC, mobile phone, smart watch, smart glass, e-book reader, portable multimedia player (PMP), portable game console, navigation device, digital camera, digital multimedia broadcasting (DMB) player, digital audio recorder, digital audio player, digital video recorder, digital video player, PDA (Personal Digital Assistant), etc. capable of communication.

[0068]

[0069] FIG. 2 is a drawing showing a device for providing a drug prescription support service according to one embodiment of the present invention.

[0070] A device for providing a prescription support service according to one embodiment includes a processor and memory. The processor can perform at least one of the methods described above. The memory can store information related to the method described above or a program implementing the method described above. The memory can be volatile or non-volatile memory. The memory can be referred to as a "database," a "storage unit," or the like.

[0071] At this time, the processor can receive clinical information and first prescription information corresponding to the clinical information from a user terminal used by the user.

[0072] Here, clinical information may be data including patient medical records, symptoms, disease diagnosis, treatment history, surgical records, procedure records, diagnostic test results, blood test results, imaging test results, etc.

[0073] In addition, the processor can generate additional recommended drug information indicating a recommendation to add a new drug to the first prescription information and removal recommended drug information indicating a recommendation to remove a first drug included in the first prescription information based on a database of past prescription histories of other users for the first prescription information and the clinical information. This will be described in more detail below.

[0074] Additionally, the processor can transmit the additional recommended drug information and the removal recommended drug information to the user terminal.

[0075] Through this, the pharmacist who created the first prescription information can review his / her own prescription and modify his / her own prescription in a more desirable direction by referring to the prescriptions of other pharmacists with more experience.

[0076]

[0077] FIG. 3 is a diagram illustrating a process for deriving additional recommended drug information according to one embodiment of the present invention.

[0078] Referring to FIG. 3, the processor may extract second prescription information regarding prescriptions of other users for the clinical information from the prescription history DB, extract all drugs included in the second prescription information as second drugs, extract drugs that do not overlap with the first drugs among the second drugs as third drugs, derive a first prescription suitability for each third drug, and extract a third drug whose first prescription suitability exceeds a preset threshold suitability to generate the additional recommended drug information.

[0079] At this time, the critical suitability can be arbitrarily set by the operator of the present invention, and can be set to 0, for example.

[0080] At this time, the first prescription suitability can be derived by the following mathematical formula 1.

[0081] [Mathematical Formula 1]

[0082]

[0083] At this time, means the first prescription suitability for drug d randomly selected from the third drugs, means the first self-suitability for the first prescription information of the above drug d, means the first single-drug suitability for the first prescription information of the above drug d, means the first dual drug compatibility for the first prescription information of the above drug d, means the first weight applied to the first self-fitting coefficient, refers to the second weight applied to the first single-drug suitability, may refer to the third weight applied to the first double-drug suitability.

[0084] The above first self-suitability and the second self-suitability described below may mean indicators of whether the drug is suitable for the disease on its own, the above first single-drug suitability and the second single-drug suitability described below may mean indicators of whether the drug is suitable for prescribing simultaneously with one other drug that has already been prescribed, and the above first dual-drug suitability and the second dual-drug suitability described below may mean indicators of whether the drug is suitable for prescribing simultaneously with two other drugs that have already been prescribed.

[0085] Looking at it in more detail, the first self-fit can be derived by the mathematical formula 2 below.

[0086] [Equation 2]

[0087]

[0088] At this time, means the number of times the above drug d is prescribed in the second prescription information, may mean the average number of times the above second drugs are prescribed in the above second prescription information.

[0089] In addition, the first single-drug suitability can be derived by the following mathematical formula 3.

[0090] [Equation 3]

[0091]

[0092] At this time, means the number of times the i-th above-mentioned first drug is prescribed in the above-mentioned second prescription information, means the number of times the i-th above-mentioned first drug and the above-mentioned drug d are prescribed simultaneously in the above-mentioned second prescription information, The i-th first drug may refer to the number of times the drug d was not prescribed in the second prescription information, and N may refer to the number of first drugs included in the first prescription information.

[0093] In addition, the first double-drug compatibility can be derived by the following mathematical formula 4.

[0094] [Equation 4]

[0095]

[0096] At this time, means the number of times the i-th above-mentioned first drug and the j-th above-mentioned first drug are prescribed simultaneously in the above-mentioned second prescription information, means the number of times the i-th above-mentioned first drug and the j-th above-mentioned first drug and the above-mentioned drug d are prescribed simultaneously in the above-mentioned second prescription information, In the second prescription information in which the i-th first drug and the j-th first drug are prescribed at the same time, the drug d may mean the number of times that it is not prescribed, and N may mean the number of first drugs included in the first prescription information.

[0097] Through this, it can be confirmed whether it is desirable to add the drug to the first prescription.

[0098]

[0099] FIG. 4 is a diagram showing a process for deriving removal recommendation drug information according to one embodiment of the present invention.

[0100] The aforementioned additional recommended medication information can recommend to pharmacists medications that may be more effective when added to the primary prescription information. However, there may be cases where the medications included in the primary prescription information prescribed by the pharmacist are themselves inappropriate. Therefore, the prescription eligibility of the medications included in the primary prescription information needs to be separately verified.

[0101] To this end, referring to FIG. 4, the processor can derive a second prescription suitability for the first drug included in the first prescription information, and extract a first drug whose second prescription suitability is lower than or equal to the threshold suitability to generate the removal recommendation drug information.

[0102] At this time, the second prescription suitability can be derived by the following mathematical formula 5.

[0103] [Equation 5]

[0104]

[0105] At this time, means the second prescription suitability for a drug k randomly selected from the first drugs, means the second self-fit for the first prescription information of the above drug k, refers to the second single-drug suitability for the first prescription information of the above drug k, means the second dual drug compatibility for the first prescription information of the above drug k, means the first weight applied to the second self-fitting, refers to the second weight applied to the second single-drug suitability, may refer to a third weight applied to the above-mentioned second dual-drug suitability.

[0106] At this time, the second self-fit can be derived by the mathematical expression 6 below.

[0107] [Equation 6]

[0108]

[0109] At this time, means the number of times the above drug k is prescribed in the second prescription information, may mean the average number of times the above second drugs are prescribed in the above second prescription information.

[0110] At this time, the second single-drug suitability can be derived by the following mathematical formula 7.

[0111] [Equation 7]

[0112]

[0113] At this time, means the number of times the i-th above-mentioned first drug is prescribed in the above-mentioned second prescription information, means the number of times the i-th above-mentioned first drug and the above-mentioned drug k are prescribed simultaneously in the above-mentioned second prescription information, In the second prescription information for which the first drug is prescribed, the number of times the drug k is not prescribed may be represented, and N may represent the number of first drugs included in the first prescription information.

[0114] At this time, the second double-drug compatibility can be derived by the following mathematical formula 8.

[0115] [Equation 8]

[0116]

[0117] At this time, means the number of times the i-th above-mentioned first drug and the j-th above-mentioned first drug are prescribed simultaneously in the above-mentioned second prescription information, means the number of times the i-th above-mentioned first drug and the j-th above-mentioned first drug and the above-mentioned drug k are prescribed simultaneously in the above-mentioned second prescription information, In the second prescription information in which the i-th first drug and the j-th first drug are prescribed at the same time, the drug k may mean the number of times that the drug was not prescribed, and N may mean the number of first drugs included in the first prescription information.

[0118] Through this, it is possible to confirm whether the first drug included in the first prescription information is suitable for prescription in clinical information, and to recommend to the pharmacist that the unsuitable drug be removed.

[0119] At this time, the first weight described above is defined by the following mathematical expression 9,

[0120] [Equation 9]

[0121]

[0122] The above second weight is derived from the mathematical expression 10 below,

[0123] [Equation 10]

[0124]

[0125] The above third weight is derived from the following mathematical formula 11:

[0126]

[0127] M may represent a preset weighting factor.

[0128] At this time, the weighting factor may be a number arbitrarily selected by the operator of the present invention. For example, it may be selected as an integer greater than or equal to 1.

[0129] In summary, we extracted drug information from prescription information and were able to derive additional recommended drug information and removed recommended drug information using statistical methods.

[0130] In addition, in the process of extracting drug information, drug information can be classified according to drug name, ingredient name, dosage information, number of doses, duration of administration, etc., and by applying this to the statistical methodology described above, more detailed drug recommendations can be made.

[0131]

[0132] Figure 5 is a flowchart of a method for providing a drug prescription support service according to one embodiment of the present invention.

[0133] Referring to FIG. 5, a method for providing a drug prescription support service according to one embodiment of the present invention can receive clinical information and first prescription information corresponding to the clinical information from a user terminal used by a user (S101).

[0134] In addition, a method for providing a drug prescription support service according to one embodiment of the present invention can generate additional recommended drug information indicating a recommendation for adding a new drug to the first prescription information and removal recommended drug information indicating a recommendation for removing a first drug included in the first prescription information based on a past prescription history DB of other users for the first prescription information and the clinical information (S103).

[0135] In addition, the method for providing a drug prescription support service according to one embodiment of the present invention can transmit the additional recommended drug information and the removal recommended drug information to the user terminal (S105).

[0136] In addition, a method for providing a drug prescription support service according to one embodiment of the present invention can be configured in the same manner as the drug prescription support service providing device disclosed in FIGS. 1 to 4.

[0137] Furthermore, the embodiments of the present invention disclosed in this specification and drawings are merely specific examples to easily explain the technical content of the present invention and facilitate understanding of the present invention, and are not intended to limit the scope of the present invention. In other words, it will be apparent to those skilled in the art that other modifications based on the technical concept of the present invention are possible. Furthermore, the above-described embodiments may be combined and operated as needed.

[0138] In addition, the method of operating an augmented reality-based marketing system according to one embodiment of the present invention may be implemented in the form of program commands that can be executed through various computer means and recorded in a computer-readable medium.

[0139] Various embodiments of the present invention can be implemented as computer-readable code on a computer-readable recording medium in certain aspects. A computer-readable recording medium is any data storage device capable of storing data that can be read by a computer system. Examples of computer-readable recording media can include read-only memories (ROMs), random access memories (RAMs), compact disk-read-only memories (CD-ROMs), magnetic tapes, floppy disks, optical data storage devices, and carrier waves (such as data transmission over the Internet). A computer-readable recording medium can also be distributed across network-connected computer systems, so that the computer-readable code is stored and executed in a distributed manner. Additionally, functional programs, codes, and code segments for achieving various embodiments of the present invention can be easily interpreted by programmers skilled in the field to which the present invention is applied.

[0140] It will also be appreciated that devices and methods according to various embodiments of the present invention can be implemented in the form of hardware, software, or a combination of hardware and software. Such software may be stored in a volatile or non-volatile storage device, such as a ROM, for example, regardless of whether it is erasable or rewritable, or in a memory, such as a RAM, a memory chip, a device, or an integrated circuit, or in a storage medium that is optically or magnetically recordable and simultaneously machine-readable (e.g., a computer), such as a compact disk (CD), a DVD, a magnetic disk, or a magnetic tape. It will be appreciated that methods according to various embodiments of the present invention can be implemented by a computer or a portable terminal including a control unit and a memory, and such a memory is an example of a machine-readable storage medium suitable for storing a program or programs including commands for implementing embodiments of the present invention.

[0141] Accordingly, the present invention encompasses a program containing code for implementing the devices or methods described in the claims of this specification, and a machine-readable storage medium (e.g., a computer) storing such a program. Furthermore, such a program may be transmitted electronically via any medium, such as a communication signal transmitted via a wired or wireless connection, and the present invention appropriately encompasses equivalents thereof.

[0142] The embodiments of the present invention disclosed in this specification and drawings are intended to provide a simple explanation of the technical content of the present invention and provide specific examples to aid understanding of the present invention, and are not intended to limit the scope of the present invention. Furthermore, the embodiments of the present invention described above are merely exemplary, and those skilled in the art will understand that various modifications and equivalent embodiments are possible. Therefore, the true technical protection scope of the present invention should be defined by the following claims.

Claims

1. In the device providing pharmaceutical prescription support service, comprising a memory and a processor connected to the memory, The above processor, Receive clinical information and first prescription information corresponding to the clinical information from a user terminal used by the user, Based on the first prescription information and the past prescription history DB of other users for the clinical information, additional recommended drug information indicating a recommendation to add a new drug to the first prescription information and removal recommended drug information indicating a recommendation to remove a first drug included in the first prescription information are generated, A device for providing a drug prescription support service, characterized in that it transmits the above additional recommended drug information and the above removal recommended drug information to the user terminal.

2. In claim 1, The above processor, Extract second prescription information about other users' prescriptions for the above clinical information from the above prescription history DB, All drugs included in the above second prescription information are extracted as second drugs, Among the above second drugs, a drug that does not overlap with the above first drug is extracted as a third drug, The first prescription suitability is derived for each of the above third drugs, A device for providing a drug prescription support service, characterized in that the device extracts a third drug whose first prescription suitability exceeds a preset threshold suitability and generates the additional recommended drug information.

3. In claim 2, The above first prescription suitability is, It is derived by the mathematical formula below, means the first prescription suitability for drug d randomly selected from the third drugs, means the first self-suitability for the first prescription information of the above drug d, means the first single-drug suitability for the first prescription information of the above drug d, means the first dual drug compatibility for the first prescription information of the above drug d, means the first weight applied to the first self-fitting coefficient, refers to the second weight applied to the first single-drug suitability, A device for providing a drug prescription support service, characterized in that it means a third weight applied to the first dual drug compatibility.

4. In claim 3, The above first self-conformity is, It is derived by the mathematical formula below, means the number of times the above drug d is prescribed in the second prescription information, A device for providing a drug prescription support service, characterized in that the second drugs mean the average number of times the second drugs are prescribed in the second prescription information.

5. In claim 4, The above first single-drug suitability is, It is derived by the mathematical formula below, means the number of times the i-th above-mentioned first drug is prescribed in the above-mentioned second prescription information, means the number of times the i-th above-mentioned first drug and the above-mentioned drug d are prescribed simultaneously in the above-mentioned second prescription information, A device for providing a drug prescription support service, characterized in that the drug d in the second prescription information for which the i-th first drug is prescribed means the number of times the drug is not prescribed, and N means the number of first drugs included in the first prescription information.

6. In claim 5, The above first double-drug compatibility is, It is derived by the mathematical formula below, means the number of times the i-th above-mentioned first drug and the j-th above-mentioned first drug are prescribed simultaneously in the above-mentioned second prescription information, means the number of times the i-th above-mentioned first drug and the j-th above-mentioned first drug and the above-mentioned drug d are prescribed simultaneously in the above-mentioned second prescription information, A device for providing a drug prescription support service, characterized in that the drug d in the second prescription information in which the i-th first drug and the j-th first drug are prescribed simultaneously means the number of times the drug is not prescribed, and N means the number of first drugs included in the first prescription information.

7. In claim 6, The above processor, A second prescription suitability is derived for the first drug included in the first prescription information, A device for providing a drug prescription support service, characterized in that it extracts a first drug whose second prescription suitability is lower than or equal to the critical suitability and generates the recommended drug removal information.

8. In claim 7, The above second prescription suitability is, It is derived by the mathematical formula below, means the second prescription suitability for a drug k randomly selected from the first drugs, means the second self-fit for the first prescription information of the above drug k, refers to the second single-drug suitability for the first prescription information of the above drug k, means the second dual drug compatibility for the first prescription information of the above drug k, means the first weight applied to the second self-fitting, refers to the second weight applied to the second single-drug suitability, A device for providing a drug prescription support service, characterized in that it means a third weight applied to the second dual drug compatibility.

9. In claim 8, The above second self-conformity is, It is derived by the mathematical formula below, means the number of times the above drug k is prescribed in the second prescription information, A device for providing a drug prescription support service, characterized in that the second drugs mean the average number of times the second drugs are prescribed in the second prescription information.

10. In claim 9, The above second single-drug suitability is, It is derived by the mathematical formula below, means the number of times the i-th above-mentioned first drug is prescribed in the above-mentioned second prescription information, means the number of times the i-th above-mentioned first drug and the above-mentioned drug k are prescribed simultaneously in the above-mentioned second prescription information, A device for providing a drug prescription support service, characterized in that the drug k in the second prescription information for which the i-th first drug is prescribed means the number of times the drug is not prescribed, and N means the number of first drugs included in the first prescription information.

11. In claim 10, The above second double-drug compatibility is, It is derived by the mathematical formula below, means the number of times the i-th above-mentioned first drug and the j-th above-mentioned first drug are prescribed simultaneously in the above-mentioned second prescription information, means the number of times the i-th above-mentioned first drug and the j-th above-mentioned first drug and the above-mentioned drug k are prescribed simultaneously in the above-mentioned second prescription information, A device for providing a drug prescription support service, characterized in that the drug k in the second prescription information in which the i-th first drug and the j-th first drug are prescribed simultaneously means the number of times the drug was not prescribed, and N means the number of first drugs included in the first prescription information.

12. In claim 11, The above first weight is, It is defined by the mathematical formula below, The above second weight is, It is derived from the mathematical formula below, The third weight above is, It is derived from the mathematical formula below, A device for providing a drug prescription support service, characterized in that M represents a preset weighting coefficient.

13. In claim 1, A device for providing a drug prescription support service, characterized in that the above clinical information is at least one of a patient's medical record, symptoms, disease diagnosis, treatment history, surgical record, procedure record, diagnostic test result, blood test result, and imaging test result.

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