Device and method for providing medicine recommendation service based on consultation

Abstract

Provided are a device and method for providing a medicine recommendation service based on consultation. The device comprises: a communication unit; a memory for storing at least one process for providing a service for recommending a product on the basis of consultation with a customer; and a processor for performing an operation according to the process. The processor: sequentially provides a plurality of questions for checking detailed symptoms of the customer's disease via a first user interface (UI) output to a pharmacist terminal; recommends a medicine type for alleviating the disease on the basis of a response, received from the pharmacist terminal via the first UI, to each of the plurality of questions; and requests a payment to a pharmacy server for a product selected by the pharmacist terminal from among a plurality of products corresponding to the medicine type.

Description

Device and method for providing a consultation-based drug recommendation service

[0001] The present disclosure relates to a device and method for providing a consultation-based drug recommendation service.

[0002] Consulting on over-the-counter medications is one of the primary services provided by pharmacies. Customers can utilize these services when it's difficult to visit a hospital or when they have mild symptoms that don't require medical attention. From a national and societal perspective, over-the-counter medication consultations can reduce the burden of national healthcare costs and are valuable as an easily accessible service.

[0003] Pharmacists providing consultation services must gather a wealth of information to provide high-quality over-the-counter drug services. First, they must gather a wealth of up-to-date, evidence-based health information necessary for consultations. Second, they must understand the patient's underlying medical conditions, existing medications, and reactions to medications. They also need regulatory information, such as approvals and discontinuations.

[0004] However, sufficient time is needed to carry out the elements necessary for systematic counseling, such as acquiring the information necessary for counseling, interpreting the acquired information and consulting according to the customer's needs, and recording the customer's decision. However, due to a lack of time, high-quality service cannot be provided.

[0005] Therefore, a computerized system is needed to resolve these difficulties in consulting on general medicines.

[0006]

[0007] The purpose of the embodiment disclosed in this disclosure is to provide a device and method for providing a medicine recommendation service based on consultation.

[0008] The problems to be solved by the present disclosure are not limited to the problems mentioned above, and other problems not mentioned will be clearly understood by those skilled in the art from the description below.

[0009] A device for providing a medicine recommendation service based on consultation according to the present disclosure for achieving the above-described technical task includes a communication unit, a memory storing at least one process for providing a service for recommending a product based on consultation with a customer, and a processor for performing an operation according to the process, wherein the processor sequentially provides a plurality of questions for checking detailed symptoms of a disease of a customer through a first UI (User Interface) output to a pharmacist's terminal, and recommends a type of medicine for improving the disease based on responses to each of the plurality of questions received from the pharmacist's terminal through the first UI, and requests payment for a product selected by the pharmacist's terminal from among a plurality of products corresponding to the type of medicine to a pharmacy payment system server.

[0010] In addition, among the above multiple questions, the remaining questions, excluding the first question, are provided with different content depending on the response to the previous question, and the number of previously recommended drug types may change each time a response to the remaining questions is received.

[0011] In addition, if the processor determines that the academic evidence levels of the medicines to be taken to improve the disease are different, it may recommend the first type of medicine and the second type of medicine together through the first UI.

[0012] In addition, if the customer is an existing customer, the processor provides the customer's consultation history to the pharmacist terminal so that the consultation is conducted based on the consultation history, and the customer's consultation history can be accumulated and stored as consultation results from different pharmacies so that it can be shared among pharmacists using the service.

[0013] In addition, when a solution provision request is received from the pharmacist terminal, the processor provides the solution to the pharmacist terminal, and the solution may include information on the selected product, instructions for use of the selected product, and a lifestyle guide.

[0014] Additionally, if the customer is an existing customer, the solution may be delivered to the customer's terminal based on the customer's information stored in the customer DB, and if the customer is a new customer, the solution may be delivered to the customer's terminal based on the customer's information entered by the pharmacist through the pharmacist terminal.

[0015] In addition, when a hospital referral request is received from the pharmacist terminal during the consultation, the processor can recommend at least one hospital based on the consultation content and the customer's location up to the time the request is received.

[0016] In addition, when the processor receives a consultation request from the customer's terminal, it sequentially provides a plurality of questions for checking detailed symptoms of the customer's disease through a second UI output to the customer's terminal, and recommends a type of medicine for improving the disease based on the response to each of the plurality of questions received from the customer's terminal.

[0017] In addition, when the processor receives information about a product held by the customer from the customer terminal, it determines whether there is a product corresponding to the recommended type of medicine among the products held by the customer, and if there is a product corresponding to the recommended type of medicine among the products held by the customer, it can provide a user guide for the product to the customer terminal.

[0018] In addition, a method for providing a medicine recommendation service based on consultation according to another aspect of the present disclosure for achieving the above-described technical task may include a step of sequentially providing a plurality of questions for checking detailed symptoms of a customer's disease through a first UI (User Interface) output to a pharmacist's terminal, a step of recommending a type of medicine for improving the disease based on responses to each of the plurality of questions received from the pharmacist's terminal through the first UI, and a step of requesting payment for a product selected by the pharmacist's terminal from among a plurality of products corresponding to the type of medicine to a pharmacy payment system server.

[0019] In addition, a computer program stored in a computer-readable recording medium for executing a method for implementing the present disclosure may be further provided.

[0020] In addition, a computer-readable recording medium recording a computer program for executing a method for implementing the present disclosure may be further provided.

[0021]

[0022] The aforementioned solutions of this disclosure enable systematic consultations at pharmacies based on a variety of up-to-date, evidence-based information related to health and distribution, enabling time-efficient and scientifically accurate consultations. Furthermore, by collecting consultation content as data and standardizing the results for subsequent service provision, systematic services can be provided, thereby enhancing user satisfaction.

[0023] Additionally, customers (counselors) can receive counseling services through the app and quickly identify their illnesses without having to visit a pharmacy.

[0024] The effects of the present disclosure are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description below.

[0025]

[0026] FIG. 1 is a schematic diagram illustrating a system for providing a drug recommendation service based on consultation according to an embodiment of the present disclosure.

[0027] FIG. 2 is a block diagram of a device for providing a medicine recommendation service based on consultation according to an embodiment of the present disclosure.

[0028] Figure 3 is a flowchart of a method for providing a drug recommendation service through a pharmacist platform according to an embodiment of the present disclosure.

[0029] FIGS. 4 to 10 are drawings for explaining a UI (User Interface) provided to a pharmacist terminal that conducts consultation through a pharmacist platform according to one embodiment of the present disclosure.

[0030] FIG. 11 is a diagram illustrating an algorithm for sequentially providing multiple questions about a customer's condition according to one embodiment of the present disclosure.

[0031] Figure 12 is a flowchart of a method for providing a pharmaceutical recommendation service through a customer platform according to an embodiment of the present disclosure.

[0032] Throughout this disclosure, like reference numerals refer to like components.

[0033] The present disclosure does not describe all elements of the embodiments, and general contents in the technical field to which the present disclosure belongs or overlapping contents between embodiments are omitted. The terms 'part, module, element, block' used in the specification can be implemented by software or hardware, and according to the embodiments, multiple 'parts, modules, elements, blocks' can be implemented as a single component, or a single 'part, module, element, block' can include multiple components. Throughout the specification, when a part is said to be "connected" to another part, this includes not only cases where it is directly connected, but also cases where it is indirectly connected, and an indirect connection includes a connection via a wireless communication network.

[0034] Additionally, when a part is said to "include" a component, this does not mean that it excludes other components, but rather that it may include other components, unless otherwise specifically stated.

[0035] Throughout the specification, when we say that an element is "on" another element, this includes not only cases where the element is in contact with the other element, but also cases where another element exists between the two elements.

[0036] The terms first, second, etc. are used to distinguish one component from another, and the components are not limited by the aforementioned terms.

[0037] Singular expressions include plural expressions unless the context clearly indicates otherwise. Identifiers within each step are used for convenience of explanation and do not indicate the order of the steps. The steps may be performed in a different order than stated, unless the context clearly dictates a specific order.

[0038] The operating principle and embodiments of the present disclosure are described below with reference to the attached drawings.

[0039] As used herein, the term "device" encompasses a variety of devices capable of performing computational processing and providing results to a user. For example, a device according to the present disclosure may include a computer, a server device, or a portable terminal, or may be any one of these devices.

[0040] Here, the computer may include, for example, a notebook, desktop, laptop, tablet PC, slate PC, etc. equipped with a web browser.

[0041] The above server device is a server that processes information by communicating with an external device, and may include an application server, a computing server, a database server, a file server, a game server, a mail server, a proxy server, and a web server.

[0042] The above portable terminal may include, for example, a wireless communication device that guarantees portability and mobility, and may include all kinds of handheld-based wireless communication devices such as a PCS (Personal Communication System), GSM (Global System for Mobile communications), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication)-2000, CDMA (Code Division Multiple Access)-2000, W-CDMA (Wideband Code Division Multiple Access), WiBro (Wireless Broadband Internet) terminal, a smart phone, a tablet, etc., and a wearable device such as a watch, a ring, a bracelet, an anklet, a necklace, glasses, contact lenses, or a head-mounted device (HMD).

[0043] The functions related to artificial intelligence according to the present disclosure are operated through a processor and memory. The processor may be composed of one or more processors. In this case, one or more processors may be a general-purpose processor such as a CPU, an AP, a DSP (Digital Signal Processor), a graphics-only processor such as a GPU or a VPU (Vision Processing Unit), or an artificial intelligence-only processor such as an NPU. One or more processors control the processing of input data according to predefined operation rules or artificial intelligence models stored in memory. Alternatively, if one or more processors are artificial intelligence-only processors, the artificial intelligence-only processor may be designed with a hardware structure specialized for processing a specific artificial intelligence model.

[0044] The predefined operation rules or artificial intelligence models are characterized by being created through learning. Here, being created through learning means that the basic artificial intelligence model is learned by a learning algorithm using a plurality of learning data, thereby creating a predefined operation rules or artificial intelligence model set to perform a desired characteristic (or purpose). This learning may be performed on the device itself on which the artificial intelligence according to the present disclosure is performed, or may be performed through a separate server and / or system. Examples of the learning algorithm include, but are not limited to, supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning.

[0045] An artificial intelligence model may be composed of multiple neural network layers. Each of the multiple neural network layers has multiple weight values, and performs neural network operations through operations between the operation results of the previous layer and the multiple weights. The multiple weights of the multiple neural network layers may be optimized based on the learning results of the artificial intelligence model. For example, the multiple weights may be updated so that the loss value or cost value obtained from the artificial intelligence model is reduced or minimized during the learning process. The artificial neural network may include a deep neural network (DNN), and examples thereof include, but are not limited to, a convolutional neural network (CNN), a deep neural network (DNN), a recurrent neural network (RNN), a restricted boltzmann machine (RBM), a deep belief network (DBN), a bidirectional recurrent deep neural network (BRDNN), or deep Q-networks.

[0046] The processor can create a neural network, train (or learn) a neural network, perform computations based on received input data, and generate information signals based on the results of the computations, or retrain the neural network.

[0047] Neural networks include CNN (Convolutional Neural Network), RNN (Recurrent Neural Network), perceptron, multilayer perceptron, FF (Feed Forward), RBF (Radial Basis Network), DFF (Deep Feed Forward), LSTM (Long Short Term Memory), GRU (Gated Recurrent Unit), AE (Auto Encoder), VAE (Variational Auto) Encoder), DAE (Denoising Auto Encoder), SAE (Sparse Auto Encoder), MC (Markov Chain), HN (Hopfield Network), BM (Boltzmann Machine), RBM (Restricted Boltzmann Machine), DBN (Depp Belief Network), DCN (Deep Convolutional Network), DN (Deconvolutional Network), DCIGN (Deep Convolutional Inverse Graphics Network), Generative Adversarial Network (GAN), Liquid State Machine (LSM), Extreme Learning Machine (ELM), It will be understood by those skilled in the art that any neural network may be included, including but not limited to ESN (Echo State Network), DRN (Deep Residual Network), DNC (Differentiable Neural Computer), NTM (Neural Turning Machine), CN (Capsule Network), KN (Kohonen Network), and AN (Attention Network).

[0048] According to an exemplary embodiment of the present disclosure, the processor may be configured to perform a process for generating a CNN (Convolution Neural Network) such as GoogleNet, AlexNet, VGG Network, Region with Convolution Neural Network (R-CNN), Region Proposal Network (RPN), Recurrent Neural Network (RNN), Stacking-based deep Neural Network (S-DNN), State-Space Dynamic Neural Network (S-SDNN), Deconvolution Network, Deep Belief Network (DBN), Restrcted Boltzman Machine (RBM), Fully Convolutional Network, Long Short-Term Memory (LSTM) Network, Classification Network, Generative Modeling, eXplainable AI, Continual AI, Representation Learning, AI for Material Design, BERT, SP-BERT, MRC / QA for natural language processing, Text Analysis, Dialog System, GPT-3, GPT-4, Visual Analytics for vision processing, Visual Understanding, Video Synthesis, ResNet for data intelligence, Anomaly Detection, Prediction, Time-Series Forecasting, Various artificial intelligence structures and algorithms can be used, including but not limited to Optimization, Recommendation, and Data Creation.

[0049] In this specification, ‘product’ may include, but is not limited to, general pharmaceuticals, quasi-drugs, health functional foods, medical devices, etc.

[0050] In this specification, the "first UI" refers to an app screen displayed on the pharmacist terminal (20) when a pharmacist consults with a customer visiting the pharmacy. The "first UI" can be switched to various screens depending on the consultation content (pharmacist's selection and customer's response).

[0051] In this specification, "second UI" refers to an app screen displayed on the customer terminal (30) when a customer conducts a consultation on their own without visiting a pharmacy. The "second UI" may switch to various screens depending on the consultation content (customer response).

[0052] Hereinafter, embodiments of the present disclosure will be described in detail with reference to the attached drawings.

[0053] FIG. 1 is a schematic diagram illustrating a system for providing a drug recommendation service based on consultation according to an embodiment of the present disclosure.

[0054] Referring to FIG. 1, a system (hereinafter, “system”) for providing a pharmaceutical recommendation service based on consultation according to one embodiment may include a service server (10), a pharmacist terminal (20), and a customer terminal (30). However, in some embodiments, the system may include fewer or more components than the components illustrated in FIG. 1.

[0055] A system according to one embodiment of the present disclosure uses a pharmaceutical recommendation service provided by a service server (10) to enable a medical user (e.g., a pharmacist) to recommend products to a customer visiting a medical institution (e.g., a pharmacy), or to enable a non-medical user to receive recommendations for products he or she needs without visiting a medical institution (e.g., a pharmacy).

[0056] The service server (10) may be a server managed by a company that provides a drug recommendation service to medical users and non-medical users through a service platform.

[0057] Specifically, the service server (10) can configure a service platform for medical users and a service platform for non-medical users differently to provide services to each.

[0058] The service server (10) can store and manage information and data generated when medical personnel and non-medical personnel use the service.

[0059] The pharmacist terminal (20) may be a terminal used by a medical professional (hereinafter, pharmacist) working at a medical institution (hereinafter, pharmacy).

[0060] Specifically, the pharmacist terminal (20) may be a tablet (a device provided to pharmacists by pharmacies), a kiosk, a PC installed in a pharmacy, or a mobile phone carried by a pharmacist, and may include, but is not limited to, a processor such as a control unit, a photographing means such as a camera, an input / output means including a touch screen, and may include all electronic devices including a communication function.

[0061] Pharmacists can install a service application on their pharmacist terminal (20) and use the service by signing up and logging in.

[0062] A pharmacist can use the pharmacist terminal (20) to log into the service application and begin a consultation with a customer visiting the pharmacy. Specifically, if the customer has previously visited the pharmacy, the pharmacist can log into the service application and enter the customer's information (e.g., name, contact information) to begin the consultation. If the customer is visiting for the first time, the pharmacist can log into the service application and begin the consultation immediately without entering any information.

[0063] Depending on the embodiment, if the customer has visited previously, the consultation may begin without the customer entering any information.

[0064] Depending on the example, if the customer is a first-time visitor, the customer information may be entered first and then the consultation may begin.

[0065] A pharmacist can log into the service application using a pharmacist terminal (20) and edit products held in the pharmacy. Specifically, the pharmacist can add, delete, or modify products held in the pharmacy.

[0066] A pharmacist can log in to the service application using the pharmacist terminal (20) and check the details of the consultations he or she has conducted (or conducted by other pharmacists in the pharmacy).

[0067] According to an embodiment, a pharmacist can use a pharmacist terminal (20) to check the details of consultations conducted at the pharmacy for a specific period (e.g., one month).

[0068] In some embodiments, a pharmacist may input information about a specific customer using a pharmacist terminal (20), and retrieve detailed information about consultations conducted at the pharmacist's pharmacy or at other pharmacies, the customer's medication history, and information about medications prescribed to the customer. Specifically, the pharmacist may use the pharmacist terminal (20) to check medications prescribed to a specific customer at other medical institutions, thereby confirming interactions with over-the-counter medications.

[0069] In this specification, medical institutions and medical personnel are described as pharmacies and pharmacists, but are not limited thereto, and medical institutions and medical personnel can be applied in various ways, such as hospitals, public health centers, doctors, and public health workers.

[0070] The customer terminal (30) may be a terminal used by a non-medical professional. Depending on the embodiment, the non-medical professional may be a customer visiting a pharmacy, or a service user who wishes to conduct consultation through the service platform without visiting a pharmacy.

[0071] In the case of a service user who is a non-medical professional and wishes to conduct consultation on his / her own through the service platform without visiting a pharmacy, the service user can install the service application on his / her terminal (customer terminal) (30) and use the service by registering and logging in.

[0072] Non-medical service users can log in to the service application and begin consultation by entering their information (e.g., name, contact information, symptoms, etc.).

[0073] A customer terminal (not shown) may be an information processing device such as a computer, and may include a processor such as a control unit, a photographing device such as a camera, an input / output device including a touch screen, and any device with communication capabilities. In other words, any device, such as a smartphone, tablet, PDA, laptop, or desktop, may be applicable.

[0074] FIG. 2 is a block diagram of a consultation-based drug recommendation service providing device (hereinafter, "drug recommendation service providing device") (100) according to an embodiment of the present disclosure. The drug recommendation service providing device (100) described with reference to FIG. 2 may be the service server (10) described with reference to FIG. 1 above.

[0075] Referring to FIG. 2, the drug recommendation service providing device (100) may include a communication unit (110), a memory (120), and a processor (130). However, in some embodiments, the drug recommendation service providing device (100) may include fewer or more components than the components illustrated in FIG. 2.

[0076] The communication unit (110) may include one or more modules that enable wireless or wired communication between the drug recommendation service providing device (100) and a pharmacist terminal (20), between the drug recommendation service providing device (100) and a customer terminal (30), between the drug recommendation service providing device (100) and an external server (not shown), between the drug recommendation service providing device (100) and an external device (not shown), and between the drug recommendation service providing device (100) and a communication network. For example, it may include at least one of a wired communication module, a wireless communication module, a short-range communication module, and a location information module.

[0077] Here, the external device (not shown) may be, but is not limited to, a payment device (POS device) installed in a pharmacy.

[0078] Here, the external server (not shown) may be, but is not limited to, a pharmacy server, a payment server, or a database server.

[0079] The communication network can use various types of communication networks, for example, wireless communication methods such as WLAN (Wireless LAN), Wi-Fi, Wibro, WiMAX, and HSDPA (High Speed ​​Downlink Packet Access), or wired communication methods such as Ethernet, xDSL (ADSL, VDSL), HFC (Hybrid Fiber Coax), FTTC (Fiber to The Curb), and FTTH (Fiber to The Home) can be used.

[0080] Meanwhile, the communication network is not limited to the communication methods presented above, and may include all other widely known or future-developed communication methods in addition to the above-described communication methods.

[0081] The wired communication module may include various wired communication modules such as a Local Area Network (LAN) module, a Wide Area Network (WAN) module, or a Value Added Network (VAN) module, as well as various cable communication modules such as a Universal Serial Bus (USB), a High Definition Multimedia Interface (HDMI), a Digital Visual Interface (DVI), RS-232 (recommended standard 232), power line communication, or plain old telephone service (POTS).

[0082] The wireless communication module may include a wireless communication module that supports various wireless communication methods such as GSM (global System for Mobile Communication), CDMA (Code Division Multiple Access), WCDMA (Wideband Code Division Multiple Access), UMTS (universal mobile telecommunications system), TDMA (Time Division Multiple Access), LTE (Long Term Evolution), 4G, 5G, and 6G, in addition to a WiFi module and a Wireless Broadband module.

[0083] The short-range communication module is for short-range communication, and can support short-range communication using at least one of Bluetooth™, RFID (Radio Frequency Identification), Infrared Data Association (IrDA), UWB (Ultra Wideband), ZigBee, NFC (Near Field Communication), Wi-Fi (Wireless-Fidelity), Wi-Fi Direct, and Wireless USB (Wireless Universal Serial Bus) technologies.

[0084] The memory (120) may store at least one process for providing a service of recommending a product based on consultation with a customer.

[0085] The memory (120) can store data supporting various functions of the drug recommendation service providing device (100), a program for the operation of the processor (130), can store input / output data (e.g., music files, still images, moving images, etc.), and can store a plurality of application programs (or applications) run in the drug recommendation service providing device (100), data for the operation of the drug recommendation service providing device (100), and commands. At least some of these application programs can be downloaded from an external server via wireless communication.

[0086] The memory (120) may include at least one type of storage medium among a flash memory type, a hard disk type, an SSD (Solid State Disk type), an SDD (Silicon Disk Drive type), a multimedia card micro type, a card type memory (e.g., SD or XD memory, etc.), a random access memory (RAM), a static random access memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, and an optical disk. In addition, the memory (120) is separate from the drug recommendation service providing device (100), but may be a database connected by wire or wirelessly.

[0087] The processor (130) may perform the aforementioned operations using a memory that stores data regarding an algorithm for controlling the operation of components within the pharmaceutical recommendation service providing device (100) or a program that reproduces the algorithm, and data stored in the memory. In this case, the memory (120) and the processor (130) may each be implemented as separate chips. Alternatively, the memory (120) and the processor (130) may be implemented as a single chip.

[0088] In addition, the processor (13) can control any one or a combination of the components discussed above in order to implement various embodiments according to the present disclosure described in FIGS. 3 to 11 below on the pharmaceutical recommendation service providing device (100).

[0089] Below, with reference to Figures 3 through 11, we will describe in detail how pharmacists utilize the drug recommendation service. The customers mentioned in Figures 3 through 11 refer to non-medical professionals visiting a pharmacy.

[0090] FIG. 3 is a flowchart illustrating a method for providing a pharmaceutical recommendation service through a pharmaceutical platform according to an embodiment of the present disclosure. The method of FIG. 3 may be performed by the pharmaceutical recommendation service providing device (100) disclosed in FIG. 2 , but is not limited thereto and may also be performed by the service server (10) disclosed in FIG. 1 .

[0091] FIGS. 4 to 10 are drawings for explaining a UI (User Interface) provided to a pharmacist terminal that conducts consultation through a pharmacist platform according to one embodiment of the present disclosure.

[0092] FIG. 11 is a diagram illustrating an algorithm for sequentially providing multiple questions about a customer's condition according to one embodiment of the present disclosure.

[0093] Referring to FIG. 3, the processor (130) of the drug recommendation service providing device (100) can sequentially provide multiple questions for detailed symptom confirmation of the customer's disease through the first UI (User Interface) output to the pharmacist terminal (20) (S310).

[0094] The processor (130) of the pharmaceutical recommendation service providing device (100) can recommend a type of pharmaceutical for improving the disease based on the response to each of the plurality of questions received from the pharmacist terminal (20) through the first UI (S320).

[0095] As described above, if a customer visiting a pharmacy is an existing customer, consultation can begin after the customer's information is entered into the pharmacist terminal (20). When the processor (13) receives the customer's information from the pharmacist terminal (20), it can provide the customer's consultation history so that consultation can be conducted based on the consultation history.

[0096] Here, a customer's consultation history is accumulated and stored, reflecting consultation results from different pharmacies, and can be shared among pharmacists using the drug recommendation service via the service platform. Specifically, if a customer has previously visited multiple pharmacies using the drug recommendation service for consultations, the content of each consultation is accumulated and stored within the platform, and can be provided as a list to the pharmacist terminal (20) currently conducting the consultation.

[0097] Depending on the embodiment, customer information may be received by the pharmacist by receiving voice input from the customer and entering it into the pharmacist terminal (20) on his / her behalf, or may be received by the customer directly entering it into the pharmacist terminal (20). Here, customer information may be, but is not limited to, the customer's contact information or name.

[0098] Referring to FIG. 4, if the customer is an existing customer and the customer's information (e.g., contact information) is entered, the pharmacist terminal (20) may display a first UI including the customer's name, contact information, age, gender, and a list of consultation history. Referring to FIG. 4, if the pharmacist selects a consultation history (42) of a specific date (the most recent date) from the consultation history list, the processor (130) may cause the consultation to proceed based on the selected consultation history.

[0099] Specifically, the processor (130) can sequentially provide a plurality of questions to the pharmacist terminal (20) to improve a disease identified in the selected consultation history.

[0100] At this time, if the processor (130) determines that the disease has improved based on the responses to multiple questions, it may recommend the same medicine as the selected consultation history (because it was effective in improving the disease).

[0101] If the processor (130) determines that the condition has not improved based on the responses to multiple questions, it may recommend a different medicine than the selected consultation history (because it was not effective in improving the condition).

[0102] According to an embodiment, the processor (130) can determine whether the customer is satisfied with the product purchased in the previous consultation through the customer's evaluation of the product, and determine whether to recommend the same type of medicine or a different type of medicine based on the satisfaction level.

[0103] At this time, the processor (130) can recommend other products by taking into consideration not only the selected consultation history but also the customer's age, gender, underlying disease, prescription history, and product purchase history.

[0104] Referring to Figure 4, when the pharmacist selects "Start New Consultation" (41), the processor (130) can initiate a new consultation for an existing customer in the same manner as it would for a new customer. A detailed description of this is identical to the description of the consultation method for new customers described below.

[0105] Referring to FIG. 4, when the pharmacist selects reset (43), the processor (130) can initialize all information except customer information.

[0106] As described above, if a customer visiting a pharmacy is a new customer, the pharmacist can immediately begin consultation without entering the customer's information (e.g., contact information) into the pharmacist terminal (20).

[0107] Unlike with existing clients, we don't have much information about new clients, so consultations may begin with identifying the symptom area and disease.

[0108] Referring to Figure 5, the first UI includes a customer information input area (51), which can receive name, contact information, age, and gender from pharmacists or customers. Depending on the embodiment, since name and contact information are sensitive information, only age and gender, which are helpful in disease prediction, may be input.

[0109] When the customer's information is entered, as shown in FIG. 6, the processor (13) can display a first UI including a human body diagram (61) and a detailed part selection area (62) for confirming the part of the symptom on the pharmacist terminal (20).

[0110] If the customer answers that he / she feels pain in the head, 'head' may be selected in the human body diagram (61), and if the customer answers that he / she feels pain mainly in the forehead of the head, 'forehead' may be selected in the detailed part selection area (62).

[0111] When a particular sub-region is selected, a modal window may be launched to identify at least one aspect of the symptom.

[0112] Referring to Fig. 7, when 'forehead' is selected as a specific detailed area, the symptom pattern can be selected as 'rash and dry skin' (71) based on the customer's response.

[0113] The processor (130) can predict the customer's disease based on these responses. That is, the processor (130) can suggest a possible disease by considering the customer's symptom site, symptom pattern, gender, age, etc.

[0114] Referring to FIG. 7, the processor (130) may provide a list of the customer's diseases (72) based on the customer's response that the customer's symptoms primarily appear on the head, particularly the forehead, and that the symptoms manifest as rashes and dry skin. The pharmacist may select at least one disease from the list of diseases (72) and then select (touch or click) a selection completion button (73).

[0115] Depending on the embodiment, the pharmacist may select a disease by searching for the disease name or disease area in the search box without selecting the customer's symptom area.

[0116] Referring to FIG. 8, if both diseases included in the disease list (72) are selected, the processor (130) switches to the product recommendation screen when the recommended medicine and consultation method inquiry button (81) is selected (touched or clicked). At this time, the disease selected in FIG. 8 can be deleted. For example, among atopic dermatitis and contact dermatitis, contact dermatitis can be deleted.

[0117] The processor (130) can recommend a medication appropriate for a selected disease by asking multiple questions about the selected disease. If multiple diseases are selected, multiple questions are provided for each disease, and a medication appropriate for each disease can be recommended based on the response to each question.

[0118] The processor (130) can sequentially provide multiple questions for symptom identification, one by one, based on the customer's response to each question. Specifically, the processor can read questions matching the entered customer information from a database (a database that constructs symptom-related questions in the form of a flowchart) and display them on the screen, and read the next question matching the response to the displayed question from the database and display it on the screen.

[0119] Here, multiple questions are asked to identify detailed symptoms for the selected disease, and may include questions to identify the intensity and pattern of symptoms felt by the customer, factors causing and exacerbating the symptoms, and the time of onset.

[0120] Multiple-choice questions consist of questions that can be answered with either yes or no, and the content of the next question can be determined based on the answer to the previous question.

[0121] That is, among multiple questions, the remaining questions, excluding the first, may be presented with different content depending on the response to the previous question. For example, if the answer to the first question is "yes," Question A may be presented as the second question. If the answer to the first question is "no," Question B may be presented as the second question. The first question may be fixed as the question requiring the highest priority for confirmation regarding the given condition.

[0122] Additionally, the number of previously recommended drug types may change each time responses are received to questions other than the first question among multiple questions.

[0123] That is, each time a response to a question is received, a medication that matches the customer's symptoms is selected or added. For example, if 10 medications were recommended when the response to the first question was received, the recommended medications could be 7 or 12 when the response to the second question is received. Alternatively, rather than the recommended medications changing with each question, as described above, once a response to a question is received, a medication that matches all symptoms can be recommended.

[0124] Referring to FIG. 9, when a disease is selected, the processor (130) can display a first UI including an area (91) in which multiple questions about the disease are provided and an area (92) that recommends a type of medicine for improving the disease on the pharmacist terminal (20).

[0125] Questions are sequentially provided one by one in the question area (91), and the type of medicine may be provided in the medicine recommendation area (92) based on the response to each question.

[0126] At this time, in the drug recommendation area (92), only one type of drug may be recommended for improving the disease, but if the academic evidence grades of the drugs to be taken for improving the disease are determined to be different, multiple types may be classified according to the academic evidence grades and multiple drugs may be recommended for each type.

[0127] That is, if the processor (130) determines that the academic evidence grades for multiple types of medicines that must be taken to improve a disease are divided into first and second levels, the processor (130) can recommend the first type of medicine and the second type of medicine together through the first UI.

[0128] Referring to Figure 9, different types of pharmaceutical products can be provided by dividing the first recommended product area (92-1) and the second recommended product area (92-2).

[0129] The first recommended product area (92-1) can display a list of first-type drugs with the highest academic evidence level among multiple drugs that should be taken to improve a disease, and the second recommended product area (92-2) can display a list of second-type drugs with the second academic evidence level among multiple drugs that should be taken to improve a disease. The pharmacist can select any number of drugs from any type of the first-type drug list or the second-type drug list. The question algorithm for recommending drugs is described in detail with reference to FIG. 11 below.

[0130] In some embodiments, the processor (13) may recommend medications based on the customer's underlying disease and allergy information. For existing customers, the underlying disease and allergy information may already be displayed in the underlying disease and allergy information area (93). For new customers, the pharmacist may confirm the information with the customer and enter it into the underlying disease and allergy information area (93).

[0131] In some embodiments, the processor (13) may recommend medications based on the customer's medication history information. For existing customers, the medication history information may be checked via the medication history inquiry button (93). For new customers, pressing the medication history inquiry button (93) may not provide any information. Alternatively, for new customers, the processor (13) may receive a response regarding the customer's medication history upon pressing the medication history inquiry button (93), and then recommend products based on this information.

[0132] The processor (130) can recommend a medication for each predicted disease. Referring to FIG. 9, the processor (130) can recommend a medication for atopic dermatitis and a medication for contact dermatitis, respectively.

[0133] When the product view button (95) shown in Fig. 9 is selected (touched or clicked), the screen for product selection can be switched to that shown in Fig. 10.

[0134] Referring to FIG. 10, the processor (130) can display a first UI including a list of multiple products for a type of medicine recommended for a disease on the pharmacist terminal (20).

[0135] At this time, the processor (130) can extract only products that meet the classification criteria received from the pharmacist terminal (20) from among a plurality of products and sort the extracted products according to preset sorting criteria. Here, the classification criteria are criteria for filtering out some of the multiple products related to the recommended medicine. Since the products held by a pharmacy for a specific medicine may be diverse, and furthermore, the products distributed may be even more diverse, only some are extracted according to the classification criteria.

[0136] For example, if the classification criterion is the products held by the pharmacy, products related to medicines that the pharmacy does not hold may be filtered out and disappear from the list.

[0137] Here, the sorting criterion is a criterion for determining the exposure order of products extracted based on the classification criterion, and may be at least one of product inventory, product margin rate, degree of relevance with the customer's underlying disease, and pharmacist custom.

[0138] Specifically, if the pharmacy's payment system (e.g., POS system) and the drug recommendation service are linked, at least one of product inventory and product margin may be set as a sorting criterion, and if not linked, at least one of the degree of relevance to the customer's underlying disease and pharmacist custom may be set as a sorting criterion.

[0139] For example, the extracted products could be sorted by the number of items in stock within the pharmacy. Alternatively, the extracted products could be sorted by the highest margin. Alternatively, the extracted products could be sorted by the degree to which they are less likely to be associated with the customer's underlying condition.

[0140] According to an embodiment, when 'Show only pharmacy stock products' is selected in the classification criteria selection area (101) illustrated in FIG. 10, the processor (130) can extract only the stock products of the pharmacy where the pharmacist works.

[0141] According to an embodiment, when ‘external dexpanthenol’ is selected in the classification criteria selection area (101) illustrated in FIG. 10, the processor (130) can extract only products corresponding to external dexpanthenol.

[0142] According to an embodiment, multiple classification criteria may be selected in the classification criteria selection area (101) illustrated in FIG. 10. For example, if 'Show only pharmacy-available products' and 'External dexpanthenol' are selected, the processor (130) can extract only products corresponding to external dexpanthenol and available at pharmacies.

[0143] Depending on the embodiment, no classification criteria may be selected in the classification criteria selection area (101) illustrated in FIG. 10. In such a case, products can be sorted only by sorting criteria without applying any classification criteria.

[0144] In some embodiments, the processor (130) may, in response to a margin rate-based sorting request (102) received from the pharmacist terminal (20), sort products extracted by applying classification criteria or multiple products to which classification criteria are not applied in order of highest margin rate. Although only margin rate-based sorting (102) is illustrated in FIG. 10, other sorting criteria may also be displayed within the UI, and criteria may be applied based on the pharmacist's selection.

[0145] When a request for registration of a sales price (105) for a product held is made from a pharmacist terminal (20), the processor (130) can request input of a sales price to the pharmacist terminal (20) and register the input sales price as the sales price of the corresponding product.

[0146] When a request for addition of a non-stocked product (106) is received from the pharmacist terminal (20), the processor (130) can add the product to the pharmacy's stock. After the product is added as a stocked product, the sales registration can be performed.

[0147] When the processor (130) receives a selection of a specific product (103) from the pharmacist terminal (20), it can include the product in the list of selected products at the bottom of the screen.

[0148] When a delete button (104) for a specific product among the products included in the selection product list from the pharmacist terminal (20) is selected (touched or clicked), the processor (130) can delete the product from the list.

[0149] When the selection completion button (107) is selected (touched or clicked) from the pharmacist terminal (20), the processor (130) can switch to the screen of FIG. 9.

[0150] At this time, the total price for the selected product may be displayed at the bottom of the screen in FIG. 9. In some embodiments, if a quantity change for the selected product is requested from the pharmacist terminal (20), the total price may be changed based on the changed quantity.

[0151] When the processor (130) receives a product selection completion button (96) from the pharmacist terminal (20), it confirms at least one selected product as the final recommended product for improving the customer's symptoms.

[0152] According to an embodiment, even if there is no product selected from the pharmacist terminal (20) (for example, if there is no product matching the customer's consultation content at the pharmacy, the pharmacist may not select any product), the processor (130) may store the customer's consultation history.

[0153] The processor (130) of the pharmaceutical recommendation service providing device (100) can request payment for a product selected by the pharmacist terminal (20) among multiple products corresponding to a pharmaceutical type to the pharmacy's payment system server (same as POS deletion, hereinafter) (S330).

[0154] When at least one product selected by the pharmacist is confirmed as the final recommended product, the processor (130) may provide payment information for the selected product (final recommended product) to the payment system server so that payment for the selected product may be made through a payment device installed in the pharmacy.

[0155] When a customer purchases other products in addition to the above-mentioned selected product (final recommended product), the processor (130) may receive information about the other products from the pharmacy payment system server and add them to the customer's purchase information, and add the consultation results including the purchase information to the customer's consultation history.

[0156] That is, a customer may wish to purchase the final recommended product through consultation, along with other products available in the pharmacy or prescribed by the hospital. In such cases, the pharmacist uses the payment system to purchase additional products along with the final recommended product. The processor (130) receives purchase information regarding the additional products from the pharmacy payment system server and adds it to the customer's consultation history. This information can be used as reference for pharmacists conducting subsequent consultations.

[0157] Meanwhile, when a solution provision request is received from the pharmacist terminal (20), the processor (130) can provide a solution to the pharmacist terminal (20).

[0158] The solution may include information about the selected product (i.e., the product purchased by the customer), instructions for using the selected product (i.e., the product purchased by the customer), and a lifestyle guide.

[0159] Here, product usage and lifestyle guides can be generated based on the customer's responses regarding their symptoms. In other words, product usage and lifestyle habits while using the product can be tailored to the customer's symptoms.

[0160] By providing solutions that incorporate this diverse information, we can empower customers to effectively manage their conditions, ensure the full effectiveness of the product, and prevent potential adverse reactions.

[0161] At this time, if the customer is an existing customer, the solution can be delivered to the customer's terminal based on the customer's information stored in the customer DB.

[0162] If the customer is a new customer, the solution can be transmitted to the customer's terminal (30) based on the customer information entered by the pharmacist through the pharmacist terminal (20). The new customer's information (contact information) thus obtained is stored in the customer database, allowing the customer to receive consultation as an existing customer upon subsequent visits to the pharmacy.

[0163] Meanwhile, when a hospital referral request is received from the pharmacist terminal (20) during a consultation with a customer, the processor (130) can recommend at least one hospital based on the consultation content conducted up to the time the request was received, customer information (age, gender), and the customer's location.

[0164] That is, if, while the pharmacist is consulting with the customer, the customer's condition is determined to require hospital treatment (a precise examination is required or management is not possible with products sold at the pharmacy), the pharmacist can request a hospital referral through the customer terminal (20) so that the customer can quickly receive hospital treatment.

[0165] In response to such a hospital referral request, the processor (130) can determine the department based on the consultation content and customer information (age, gender), and extract a list of hospitals with the corresponding department among hospitals within a preset distance based on the customer's location, and provide the list to the customer terminal (20).

[0166] Meanwhile, depending on the embodiment, even if the consultation is interrupted due to a hospital referral request as described above or due to a customer's request, the processor (130) may add the consultation content to the customer's consultation history.

[0167] Additionally, depending on the embodiment, even if the customer does not purchase the final recommended product even after the final recommended product has been confirmed, the processor (130) may add the consultation content to the customer's consultation history.

[0168] Hereinafter, with reference to Figure 11, an algorithm for sequentially providing multiple questions about a customer's disease and a method for determining an appropriate medication based on responses to the questions will be described.

[0169] The questioning algorithm of this disclosure sequentially provides multiple questions to identify detailed symptoms of a patient's (customer's) disease, predicted based on the symptom location and pattern entered in the previous step. Specifically, questions may be provided to identify patient groups, determine risk factors, identify causes, confirm detailed conditions, and determine duration of symptoms. However, this is not limited to these questions, and various types of questions may be provided to identify the customer's condition.

[0170] Referring to FIG. 11, first, the processor (130) can identify a patient group through a question for patient group confirmation, and provide a question (16-1-1) for risk sign determination based on patient information.

[0171] If the customer's response to the question (16-1-1) for risk sign determination is 'yes', the processor (130) can determine the patient's treatment plan (16-3-1) as 'visit to a specific department' or as 'visit to the emergency room' depending on the symptoms.

[0172] If the customer's response to the question (16-1-1) for risk sign determination is 'No', the processor (130) may provide a question (16-1-2) for cause confirmation.

[0173] If the customer's response to the question (16-1-2) for cause confirmation is 'yes', the processor (130) may provide a question (16-1-3) for detailed status confirmation.

[0174] If the customer's response to the question (16-1-3) for detailed status confirmation is 'No', the processor (130) can determine the department to which the patient should be referred or determine whether to visit the emergency room based on the symptoms.

[0175] If the customer's response to the question (16-1-3) for detailed status confirmation is 'yes', the processor (130) can recommend the first type of medicines (16-2-1, 16-2-2).

[0176] If the customer's response to the question (16-1-2) for cause identification is 'No', the processor (130) may recommend the first type of medicines (16-2-1, 16-2-2).

[0177] Then, the processor (130) additionally provides a question (16-1-4) for checking the duration, and if the answer to the question (16-1-4) for checking the duration is 'No', the processor (130) can additionally recommend the first type of medicine (16-2-3), and if the answer is 'Yes', the processor (130) can additionally recommend the first type of medicine (16-2-4). In addition, the processor (130) can determine the treatment plan (16-3-2) of the patient as 'requiring 1 week of observation'.

[0178] In this way, the question algorithm can determine the treatment plan immediately based on the patient's responses, or the questions presented subsequently can change. Furthermore, the types of medications recommended and the treatment plan can also change. Furthermore, while only Type 1 medications were recommended, as described above, Type 1 and Type 2 medications can be recommended together, depending on the level of academic evidence, as described above.

[0179] In addition, although the above only describes the addition of drug types based on the patient's response, this is not limited to the above, and a drug type that was recommended based on the patient's response may be excluded.

[0180] Questions sequentially provided through this question algorithm are displayed in the question area (91) shown in Fig. 9, and medicines extracted according to the answers to the questions can be displayed as a list in the medicine recommendation area (92) shown in Fig. 9.

[0181] Additionally, the processor (130) can transmit the treatment plan finally determined through this question algorithm to at least one of the pharmacist terminal (20), the customer terminal (30), and an external server (e.g., a hospital server).

[0182] The items shown in Figures 4 to 11 (customer name, age group, date, body part, symptoms of occurrence, disease name, product name, etc.) are examples to help understanding, and are not limited to those shown, and all things related to the items can be applied.

[0183] Below, with reference to Figure 12, we will describe in detail how customers utilize the drug recommendation service. The customers described in Figure 12 are non-medical professionals who seek product recommendations through the service platform without visiting a pharmacy.

[0184] Figure 12 is a flowchart illustrating a method for providing a pharmaceutical recommendation service through a customer platform according to an embodiment of the present disclosure. The method of Figure 12 may be performed by the pharmaceutical recommendation service providing device (100) disclosed in Figure 2, but is not limited thereto and may also be performed by the service server (10) disclosed in Figure 1.

[0185] Referring to FIG. 12, the processor (130) of the pharmaceutical recommendation service providing device (100) can receive a consultation request from a customer terminal (30) (S1210).

[0186] The processor (130) of the pharmaceutical recommendation service providing device (100) can sequentially provide multiple questions for detailed symptom confirmation of the customer's disease through the second UI output to the customer terminal (30) (S1220).

[0187] The processor (130) of the pharmaceutical recommendation service providing device (100) can recommend a type of pharmaceutical for improving a disease based on responses to each of a plurality of questions received from the customer terminal (30) (S1230).

[0188] Customers who do not have time to visit a hospital can use their own terminal (30) to check their own symptoms and receive guidance on medications that can be taken for those symptoms.

[0189] The way in which customers (service users) conduct consultations on their own through the service platform may be identical to the way in which pharmacists conduct consultations with customers (customers visiting the pharmacy) through the service platform.

[0190] However, unlike the first UI provided to pharmacists, the second UI provided to customers can be designed to be easily understood by non-medical professionals. Specifically, the question algorithm, terminology, and consultation method can be more easily structured based on the disease, thereby enhancing customer understanding.

[0191] The processor (130) can extract a medicine that matches the customer's symptoms through multiple questions.

[0192] When the processor (130) receives information about a product owned by a customer from the customer terminal (30), it can determine whether the product owned by the customer can be used to improve the customer's symptoms.

[0193] That is, it is determined whether there is a product corresponding to the recommended type of medicine among the products held by the customer, and if there is a product corresponding to the recommended type of medicine among the products held by the customer, a usage guide for the product (how to use the product, time of use, number of times, lifestyle habits when using the product, etc.) can be provided to the customer terminal (30).

[0194] According to an embodiment, when a customer completes responses to multiple questions (self-check questions) through a customer terminal (30) and then takes pictures of the products he or she owns, the processor (130) analyzes the taken images and, if there is a product among the products owned by the customer that is related to a type of medicine for improving symptoms, it can provide a user guide for the product.

[0195] In some embodiments, if information about the products a customer already owns is stored in the DB, the processor (130) may immediately provide guidance on products that can be taken among the products the customer owns after completing responses to multiple questions (self-check questions).

[0196] If a customer's inventory does not include a product related to a medicine for symptom improvement, the processor (130) may provide the customer terminal (30) with information on a pharmacy where the customer can purchase a product related to a medicine for symptom improvement. The recommended pharmacy may be a pharmacy that uses the medicine recommendation service (i.e., a member store of the medicine recommendation service) or a pharmacy that does not use the medicine recommendation service.

[0197] According to an embodiment, the processor (130) may provide location information of a pharmacy where a product can be purchased to the customer terminal (30), and at this time, the location information may be provided by distinguishing between pharmacies that use a pharmaceutical recommendation service (i.e., a pharmaceutical product recommendation service affiliated store) and pharmacies that do not use a pharmaceutical recommendation service.

[0198] As described above, consultations conducted by a customer on their own can also be added to their consultation history. Accordingly, if a customer visits a pharmacy based on recommended pharmacy information, the pharmacist can enter the customer's information through the service platform, check the customer's consultation history, and proceed with product purchase without a separate consultation.

[0199] In some embodiments, a customer can make a pharmacy appointment based on the provided pharmacy information. Upon receiving a reservation for a specific pharmacy from the customer terminal (30), the processor (130) can provide the customer's appointment information and the details of the consultation the customer had conducted to the pharmacist's terminal (20) at the specific pharmacy. Accordingly, the customer can visit the pharmacy and purchase the product immediately without a separate consultation.

[0200] Although FIGS. 3 and 12 describe the steps as being executed sequentially, this is merely an example of the technical idea of ​​the present embodiment, and a person having ordinary skill in the technical field to which the present embodiment pertains can modify and apply various modifications and variations by changing the order described in FIGS. 3 and 12 or executing them in parallel without departing from the essential characteristics of the present embodiment, and therefore FIGS. 3 and 12 are not limited to a chronological order.

[0201] Meanwhile, in the above description, the steps described in FIGS. 3 and 12 may be further divided into additional steps or combined into fewer steps, depending on the implementation example of the present disclosure. Furthermore, some steps may be omitted as needed, and the order of the steps may be changed.

[0202] Meanwhile, the disclosed embodiments may be implemented in the form of a recording medium storing computer-executable instructions. The instructions may be stored in the form of program code, and when executed by a processor, may generate program modules to perform the operations of the disclosed embodiments. The recording medium may be implemented as a computer-readable recording medium.

[0203] Computer-readable storage media include all types of storage media that store instructions that can be deciphered by a computer. Examples include read-only memory (ROM), random access memory (RAM), magnetic tape, magnetic disks, flash memory, and optical data storage devices.

[0204] The disclosed embodiments have been described with reference to the attached drawings as described above. Those skilled in the art will understand that the present disclosure can be implemented in forms other than the disclosed embodiments without altering the technical spirit or essential features of the present disclosure. The disclosed embodiments are illustrative and should not be construed as limiting.

Claims

1. Ministry of Communications; At least to provide a service that recommends products based on consultation with customers. A device for providing a consultation-based medicine recommendation service, comprising: a memory storing a process; and a processor performing an operation according to the process; wherein the processor sequentially provides a plurality of questions for checking detailed symptoms of a customer's disease through a first UI (User Interface) output to a pharmacist's terminal, recommends a type of medicine for improving the disease based on responses to each of the plurality of questions received from the pharmacist's terminal through the first UI, and requests payment for a product selected by the pharmacist's terminal from among a plurality of products corresponding to the type of medicine to a pharmacy payment system server.

2. In paragraph 1, A device for providing a consultation-based drug recommendation service in which, excluding the first question among the above multiple questions, the remaining questions are provided with different content depending on the response to the previous question, and the number of previously recommended drug types is changed each time a response to the remaining questions is received, or a drug matching all symptoms is recommended when the response is completed.

3. In paragraph 2, The above processor is a device for providing a consultation-based medicine recommendation service that recommends a first type of medicine and a second type of medicine together through the first UI when it is determined that the academic evidence levels of medicines that should be taken to improve the above disease are different.

4. In paragraph 1, The above processor, if the customer is an existing customer, provides the customer's consultation history to the pharmacist terminal so that the consultation is conducted based on the consultation history, and the customer's consultation history is accumulated and stored as consultation results from different pharmacies so that it can be shared among pharmacists using the service, providing a consultation-based medicine recommendation service device.

5. In paragraph 1, The above processor, when a solution provision request is received from the pharmacist terminal, provides the solution to the pharmacist terminal, and the solution includes information on the selected product, instructions for use of the selected product, and a lifestyle guide, and is a device for providing a consultation-based medicine recommendation service.

6. In paragraph 5, A device for providing a consultation-based medicine recommendation service, wherein if the customer is an existing customer, the solution is delivered to the customer's terminal based on the customer's information stored in the customer DB, and if the customer is a new customer, the solution is delivered to the customer's terminal based on the customer's information entered by the pharmacist through the pharmacist terminal.

7. In paragraph 1, The above processor is a device for providing a consultation-based medicine recommendation service, which, when a hospital referral request is received from the pharmacist terminal during the consultation, recommends at least one hospital based on the consultation content and the customer's location up to the time the request is received.

8. In paragraph 1, The above processor, when receiving a consultation request from the customer's terminal, sequentially provides a plurality of questions for checking detailed symptoms of the customer's disease through a second UI output to the customer's terminal, and recommends a type of medicine for improving the disease based on the response to each of the plurality of questions received from the customer's terminal, a consultation-based medicine recommendation service providing device.

9. In paragraph 8, The above processor, when receiving information about a product held by the customer from the customer terminal, determines whether there is a product corresponding to the recommended type of medicine among the products held by the customer, and if there is a product corresponding to the recommended type of medicine among the products held by the customer, provides a usage guide for the product to the customer terminal, which is a device for providing a consultation-based medicine recommendation service.

10. In a method performed by a device, A method for providing a consultation-based medicine recommendation service, comprising: a step of sequentially providing a plurality of questions for checking detailed symptoms of a customer's disease through a first UI (User Interface) output on a pharmacist's terminal; a step of recommending a type of medicine for improving the disease based on responses to each of the plurality of questions received from the pharmacist's terminal through the first UI; and a step of requesting payment for a product selected by the pharmacist's terminal from among a plurality of products corresponding to the type of medicine to a pharmacy payment system server.

Images