WO2024248168A1 - Medical platform service providing system for supporting idle personnel and multinational patients - Google Patents

Abstract

Provided is a medical platform service providing system for supporting idle personnel and multinational patients, the system comprising: user terminals for applying for treatments and receiving treatments online; medical team terminals which allow the treatments to the user terminals and connect to the user terminals; and a platform service providing server including a construction unit, which collects education, career, and qualifications from at least one of the medical team terminals to construct a pool of personnel, a request unit, which requests the medical team terminals for treatment when the user terminals apply for treatment, and a connection unit, which connects the user terminals and the medical team terminals when the medical team terminals allow the treatment.

Description

Medical platform service provision system for idle manpower and multinational patient support

The present invention relates to a system for providing a medical platform service for supporting idle manpower and multinational patients, and provides a system that connects doctors, pharmacies, delivery workers and users worldwide and can attract investment funds and advertisements with disease data.

Digital Healthcare is a compound word of digital and healthcare, where digital is a general concept for information and communication technology, and healthcare is a general concept for the medical and health industry, which includes seven fields classified by the Korea Health Industry Development Institute: pharmaceuticals, cosmetics, food, medical devices, medical information, healthcare systems, and general industries. In this way, digital healthcare is an industry where information and communication technology (ICT) and healthcare are combined, and it is an industry that provides advanced patient-tailored medical services and health management products and services to promote the health of patients and the general public by utilizing ICT such as big data and AI. The atmosphere of the medical community, which had been unilaterally opposed to telemedicine due to the COVID-19 pandemic, is gradually changing, and the Korean Telemedicine Research Association has finished preparing to hold an inaugural symposium and engage in full-scale discussion on telemedicine.

At this time, a method of conducting telemedicine, transmitting a prescription to a pharmacy, and delivering the prepared medicine was studied and developed. In relation to this, prior art, Korean Patent No. 10-2258404 (announced on May 28, 2021) and Korean Patent No. 10-1816744 (announced on January 9, 2018), disclose a configuration in which a patient's bio-signal is received by a wearable device, a hospital server receives the bio-signal, diagnoses and prescribes, then transmits the prescription to the pharmacy server, and a delivery company delivers the prepared medicine to the delivery location, and a configuration in which a pharmaceutical database is established and the type and price of the pharmaceutical are uploaded by each pharmacy, so that the patient can have the diagnosed and prescribed medication delivered to the delivery location without visiting the hospital or clinic, respectively.

However, in the former case, it is a configuration that provides treatment based on bio-signals, not a method in which doctors and patients meet face-to-face for treatment. In the latter case, only the pharmacy and delivery process are presented, and the process of connecting patients and doctors and diagnosing and prescribing is not disclosed. Accordingly, research and development are required on a platform that can connect medical professionals and patients around the world and provide treatment, build a pharmaceutical database for each pharmacy so that prescribed medications are not lost, enable delivery or delivery of prepared medications, and obtain consent for the use of medical information to build big data on disease data by country, race, gender, age, and region.

One embodiment of the present invention can provide a medical platform service provision system for supporting idle manpower and multinational patients, which can build a platform that can connect medical professionals and patients around the world and provide treatment, build a pharmaceutical database of each pharmacy so that prescribed medication is not searched for, enable delivery or shipping of prepared medication, and build big data of disease data by country, race, gender, age, and region by obtaining consent to use medical information. However, the technical tasks to be achieved by this embodiment are not limited to the technical tasks described above, and other technical tasks may exist.

As a technical means for achieving the above-described technical task, one embodiment of the present invention includes the steps of receiving a patient's medical record data transmitted from a medical consultation request terminal for calculating medical expenses, parsing the received medical record data to extract a diagnosis, deriving a medical diagnosis, an identifier of a medical diagnosis site and a detailed disease from the diagnosis, and classifying them, the step of extracting at least one image identification information included in the received medical record data, the step of extracting reference data having a preset similarity from previously constructed big data based on the classified identifier and the extracted image identification information, the step of generating consultation data for the patient's medical record data by outputting the consultation data stored by being mapped to the extracted reference data, and the step of transmitting the generated consultation data to the medical consultation request terminal.

According to any one of the problem solving means of the present invention described above, a platform can be built to connect medical staff and patients around the world and provide treatment, a pharmaceutical database of each pharmacy can be built so that prescribed medications are not searched for, a platform can be provided to enable delivery or shipping of prepared medications, a platform can be provided to attract investment and advertising from pharmaceutical companies by building big data on disease data by country, race, gender, age, and region with consent to use medical information, and a protection service and a care service can be provided, and by conducting a survey, users can receive rewards and advertisers, investors, and pharmaceutical companies can obtain information.

FIG. 1 is a drawing for explaining a medical platform service providing system for supporting idle manpower and multinational patients according to one embodiment of the present invention.

Figure 2 is a block diagram for explaining a platform service providing server included in the system of Figure 1.

FIGS. 3 and 4 are drawings for explaining an embodiment of a medical platform service for supporting idle manpower and multinational patients according to one embodiment of the present invention.

FIG. 5 is a flowchart illustrating a method for providing a medical platform service for supporting idle manpower and multinational patients according to one embodiment of the present invention.

Hereinafter, with reference to the attached drawings, embodiments of the present invention will be described in detail so that those skilled in the art can easily practice the present invention. However, the present invention may be implemented in various different forms and is not limited to the embodiments described herein. In addition, in order to clearly describe the present invention in the drawings, parts that are not related to the description are omitted, and similar parts are assigned similar drawing reference numerals throughout the specification.

Throughout the specification, when a part is said to be "connected" to another part, this includes not only the case where it is "directly connected" but also the case where it is "electrically connected" with another element in between. Also, when a part is said to "include" a component, this should be understood to mean that it may further include other components, unless specifically stated to the contrary, and does not preclude the presence or possibility of one or more other features, numbers, steps, operations, components, parts, or combinations thereof.

The terms "about," "substantially," and the like used throughout the specification are used in a meaning close to or at the numerical value when manufacturing and material tolerances inherent in the stated meaning are presented, and are used to prevent unscrupulous infringers from unfairly using the disclosure in which exact or absolute numerical values are mentioned in order to help understanding of the present invention. The terms "step of doing ~" or "step of ~" used throughout the specification of the present invention do not mean "step for ~."

In this specification, the term 'unit' includes a unit realized by hardware, a unit realized by software, and a unit realized using both. In addition, one unit may be realized by using two or more pieces of hardware, and two or more units may be realized by one piece of hardware. Meanwhile, the 'unit' is not limited to software or hardware, and the 'unit' may be configured to be in an addressable storage medium or may be configured to reproduce one or more processors. Accordingly, as an example, the 'unit' includes components such as software components, object-oriented software components, class components, and task components, and processes, functions, properties, procedures, subroutines, segments of program code, drivers, firmware, microcode, circuits, data, databases, data structures, tables, arrays, and variables. The functions provided in the components and 'units' may be combined into a smaller number of components and 'units' or further separated into additional components and 'units'. Additionally, the components and '~parts' may be implemented to regenerate one or more CPUs within the device or secure multimedia card.

Some of the operations or functions described as being performed by a terminal, apparatus or device in this specification may instead be performed by a server connected to the terminal, apparatus or device. Similarly, some of the operations or functions described as being performed by a server may also be performed by a terminal, apparatus or device connected to the server.

In this specification, some of the operations or functions described as terminal and mapping or matching may be interpreted to mean mapping or matching the terminal's unique number or personal identification information, which is the terminal's identifying data.

In this specification, it is assumed that a background check is conducted when forming each talent pool.

The present invention will be described in detail with reference to the attached drawings below.

FIG. 1 is a drawing for explaining a medical platform service providing system for supporting idle manpower and multinational patients according to one embodiment of the present invention. Referring to FIG. 1, a medical platform service providing system (1) for supporting idle manpower and multinational patients may include at least one user terminal (100), a platform service providing server (300), at least one medical staff terminal (400), at least one pharmacy terminal (500), and a delivery terminal (600). However, since the medical platform service providing system (1) for supporting idle manpower and multinational patients of FIG. 1 is only one embodiment of the present invention, the present invention is not limited by FIG. 1.

At this time, each component of Fig. 1 is generally connected via a network (Network, 200). For example, as illustrated in Fig. 1, at least one user terminal (100) can be connected to a platform service providing server (300) via a network (200). In addition, the platform service providing server (300) can be connected to at least one user terminal (100), at least one medical staff terminal (400), at least one pharmacy terminal (500), and a delivery terminal (600) via the network (200). In addition, at least one medical staff terminal (400) can be connected to the platform service providing server (300) via the network (200). In addition, at least one pharmacy terminal (500) can be connected to at least one user terminal (100), the platform service providing server (300), and at least one medical staff terminal (400) via the network (200). Finally, the delivery terminal (600) can be connected to a user terminal (100), a medical staff terminal (400), a platform service providing server (300), and at least one pharmacy terminal (500) through a network (200).

Here, a network means a connection structure that enables information exchange between each node, such as multiple terminals and servers, and examples of such networks include a local area network (LAN), a wide area network (WAN), the Internet (WWW: World Wide Web), wired and wireless data communication networks, telephone networks, and wired and wireless television communication networks. Examples of wireless data communication networks include, but are not limited to, 3G, 4G, 5G, 3GPP (3rd Generation Partnership Project), 5GPP (5th Generation Partnership Project), LTE (Long Term Evolution), WIMAX (World Interoperability for Microwave Access), Wi-Fi, the Internet, LAN (Local Area Network), Wireless LAN (Wireless Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network), RF (Radio Frequency), Bluetooth (Bluetooth) network, NFC (Near-Field Communication) network, satellite broadcasting network, analog broadcasting network, and DMB (Digital Multimedia Broadcasting) network.

In the following, the term at least one is defined as a term including the singular and the plural, and it will be obvious that even if the term at least one does not exist, each component can exist in the singular or the plural and can mean the singular or the plural. In addition, it will be said that whether each component is provided in the singular or the plural may change depending on the embodiment.

At least one user terminal (100) may be a terminal of a user who requests treatment by using a web page, app page, program or application related to a medical platform service for supporting idle manpower and multinational patients, receives treatment, diagnosis and prescription, and requests a delivery service when a delivery service is needed. At this time, the user terminal (100) may be a terminal that can accumulate rewards by using at least one reward application and can use the accumulated rewards like cash within the platform of the present invention. At this time, the reward application may be an application that accumulates rewards by walking or exercising, but is not limited thereto. In addition, rewards are defined as a superordinate concept encompassing various terms such as points, tips, and star balloons. In addition, it may be configured to allow payment for treatment with rewards. The user terminal (100) may be a terminal that responds to a survey and uploads a response thereto. At this time, the user terminal (100) may be a terminal that has agreed to the use of MyData, and may be a terminal of a target, i.e., a target object, that has been targeted based on demographic characteristics and accumulated response data. The user terminal (100) may be a terminal that can accumulate preset rewards when responding to a survey.

Here, at least one user terminal (100) may be implemented as a computer that can access a remote server or terminal via a network. Here, the computer may include, for example, a notebook, desktop, laptop, etc. equipped with a navigation system and a web browser. At this time, at least one user terminal (100) may be implemented as a terminal that can access a remote server or terminal via a network. At least one user terminal (100) may include, for example, a wireless communication device that ensures portability and mobility, such as a navigation, a PCS (Personal Communication System), a GSM (Global System for Mobile communications), a PDC (Personal Digital Cellular), a PHS (Personal Handyphone System), a PDA (Personal Digital Assistant), an IMT (International Mobile Telecommunication)-2000, a CDMA (Code Division Multiple Access)-2000, a W-CDMA (W-Code Division Multiple Access), a Wibro (Wireless Broadband Internet) terminal, a smartphone, a smartpad, a tablet PC, and all kinds of handheld-based wireless communication devices.

The platform service providing server (300) may be a server that provides a medical platform service web page, app page, program or application for supporting idle manpower and multinational patients. In addition, the platform service providing server (300) may be a server that builds a manpower pool for medical personnel, pharmacies and delivery drivers from at least one medical personnel terminal (400), pharmacy terminal (500) and delivery terminal (600), and in the case of a pharmacy, shares a pharmaceutical database. In addition, the platform service providing server (300) may be a server that verifies various license matters from the medical personnel terminal (400). In addition, the platform service providing server (300) may be a server that collects demographic data according to each country, race, age, gender, region, etc. after receiving consent to use medical information when receiving membership from a user terminal (100), builds disease data into big data, and attracts advertisements or investments from each pharmaceutical company, etc. The platform service providing server (300) may be a server that, when a user terminal (100) requests delivery or delivery of a prepared medicine, deducts the accumulated rewards from the reward application and transmits them to the delivery terminal (600), and terminates the delivery process when the delivery terminal (600) outputs a delivery completion event. The platform service providing server (300) may be a server that distinguishes and displays hospitals that have an agreement with the platform of the present invention and hospitals that have not on a map provided to a patient.

Here, the platform service providing server (300) may be implemented as a computer that can connect to a remote server or terminal via a network. Here, the computer may include, for example, a notebook, desktop, laptop, etc. equipped with a navigation system and a web browser.

At least one medical staff terminal (400) may be a medical staff terminal using a web page, app page, program or application related to a medical platform service for supporting idle manpower and multinational patients. In addition, at least one medical staff terminal (400) may be a terminal that receives a response from the platform service providing server (300) as to whether to approve treatment of the user terminal (100), and if approved, is connected to the user terminal (100) and transmits a prescription to the pharmacy terminal (500) or the user terminal (100). At this time, the medical staff terminal (400) may transmit an EHR (Electric Health Record) to the pharmacy terminal (500). In addition, the medical staff terminal (400) may be a terminal that allows a chronic disease patient to select a button or the like and have a prescription printed out from the kiosk and pharmacy terminal (500) without face-to-face treatment when registering at a kiosk (not shown).

Here, at least one medical staff terminal (400) may be implemented as a computer that can access a remote server or terminal via a network. Here, the computer may include, for example, a notebook, desktop, laptop, etc. equipped with a navigation system and a web browser. At this time, at least one medical staff terminal (400) may be implemented as a terminal that can access a remote server or terminal via a network. At least one medical terminal (400) may include, for example, all kinds of handheld-based wireless communication devices such as navigation, 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 (W-Code Division Multiple Access), Wibro (Wireless Broadband Internet) terminals, smartphones, smartpads, tablet PCs, etc., as wireless communication devices that ensure portability and mobility.

At least one pharmacy terminal (500) may be a terminal that receives and prints a prescription using a web page, app page, program or application related to a medical platform service for supporting idle manpower and multinational patients. For membership registration, the pharmacy terminal (500) may be a terminal that uploads or shares the business name, location and pharmaceutical database, and if a prescription is received as an electronic prescription (E-Prescription), it may be a terminal that prints a manufacturing completion event after manufacturing.

Here, at least one pharmacy terminal (500) may be implemented as a computer that can connect to a remote server or terminal via a network. Here, the computer may include, for example, a notebook, desktop, laptop, etc. equipped with a navigation system and a web browser. At this time, at least one pharmacy terminal (500) may be implemented as a terminal that can connect to a remote server or terminal via a network. At least one pharmacy terminal (500) may include, for example, all kinds of handheld-based wireless communication devices such as navigation, 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 (W-Code Division Multiple Access), Wibro (Wireless Broadband Internet) terminals, smartphones, smartpads, tablet PCs, etc., as wireless communication devices that ensure portability and mobility.

The delivery terminal (600) may be a terminal that accepts a delivery request using a web page, app page, program or application related to a medical platform service for supporting idle manpower and multinational patients. The delivery person of the delivery terminal (600) may be a caregiver, nurse, nursing assistant, etc. in addition to a general delivery person, and may be a terminal that allows nurses, caregivers, etc. to pre-receive a delivery request when care is requested from a user terminal (100). In addition, the delivery terminal (600) may be a terminal that can receive a settlement from a platform service providing server (300). At this time, the delivery terminal (600) may be an autonomous robot or an autonomous drone. Here, the autonomous robot or autonomous drone may use a previously known robot or drone, so detailed configurations or algorithms will be omitted.

Here, the delivery terminal (600) may be implemented as a computer that can connect to a remote server or terminal via a network. Here, the computer may include, for example, a notebook, desktop, laptop, etc. equipped with a navigation system and a web browser. At this time, the delivery terminal (600) may be implemented as a terminal that can connect to a remote server or terminal via a network. The delivery terminal (600) may include, for example, all types of handheld-based wireless communication devices such as navigation, 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 (W-Code Division Multiple Access), Wibro (Wireless Broadband Internet) terminals, smartphones, smartpads, tablet PCs, etc., as wireless communication devices that ensure portability and mobility.

FIG. 2 is a block diagram for explaining a platform service providing server included in the system of FIG. 1, and FIGS. 3 and 4 are drawings for explaining an embodiment in which a medical platform service for supporting idle manpower and multinational patients is implemented according to an embodiment of the present invention.

Referring to FIG. 2, the platform service providing server (300) may include a construction unit (310), a request unit (320), a connection unit (330), an interpretation unit (340), a prescription provision unit (350), a delivery unit (360), a reward setting unit (370), a big data unit (380), and an advertising investment attraction unit (390).

In the case where the platform service providing server (300) according to one embodiment of the present invention or another server (not shown) operating in conjunction therewith transmits a medical platform service application, program, app page, web page, etc. for supporting idle personnel and multinational patients to at least one user terminal (100), at least one medical staff terminal (400), at least one pharmacy terminal (500), and at least one delivery terminal (600), the at least one user terminal (100), the at least one medical staff terminal (400), the at least one pharmacy terminal (500), and the at least one delivery terminal (600) may install or open the medical platform service application, program, app page, web page, etc. for supporting idle personnel and multinational patients. In addition, the service program may be driven in the at least one user terminal (100), the at least one medical staff terminal (400), the at least one pharmacy terminal (500), and the at least one delivery terminal (600) by using a script executed in a web browser. Here, a web browser is a program that enables the use of web (WWW: World Wide Web) services, and refers to a program that receives and displays hypertext written in HTML (Hyper Text Mark-up Language), and includes, for example, Netscape, Explorer, and Chrome. In addition, an application refers to an application program on a terminal, and includes, for example, an app running on a mobile terminal (smartphone).

Before explaining Fig. 2, the basic concept of MyData used in one embodiment of the present invention will be explained. The contents explained below will not be explained repeatedly in Fig. 2.

MyData means guaranteeing an individual's right to his/her own information and opening and utilizing his/her own data (personal data) based on the consent of the individual who is the information subject. In the financial sector, MyData is a service that allows a third party to collect personal financial data such as account balances and transaction history opened at various financial institutions on behalf of the customer or to instruct payment. Therefore, MyData can increase the utilization of personal data of the information subject and create an environment where companies with excellent capabilities can compete on equal terms with large financial institutions. Recent trends related to the utilization of personal information are the introduction and utilization of pseudonymized and anonymous information, and MyData service based on the right to data portability. MyData service is attracting attention in that it reorganizes the structure between data users and strengthens the control and choice of the information subject. MyData is a system that promotes the distribution and utilization of personal data while guaranteeing the basic rights of individuals.

The domestic and international MyData industry provides services that allow safe use of personal data such as integrated personal information inquiry, credit and asset management, etc., according to the exercise of the rights of the information subject. The most serious problems related to MyData and personal data are personal information leaks and privacy violations. In modern society, due to the widespread use of various advanced information and communication devices, everything about individuals can be captured and recorded unintentionally. Korea prevents privacy violations due to the collection, leak, misuse, and abuse of personal data through the Personal Information Protection Act, Electronic Signature Act, Information and Communications Network Act, and Credit Information Act, and major advanced countries overseas are also strengthening legal and institutional devices for privacy protection. In 2019, the OECD (Organization for Economic Co-operation and Development) presented guidelines for privacy protection, including the principle of collection limitation of personal data, data quality principle, principle of purpose clarity, principle of use limitation, principle of ensuring safety, principle of disclosure, principle of individual participation, and principle of accountability, and the European Union has applied the General Data Protection Regulation (GPDR).

The Ministry of Science and ICT has selected eight MyData verification service projects in six fields: finance, healthcare, public, living, transportation, and small business. When individuals, who are the information subjects, provide their data to the MyData platform, companies use this to develop services, and individuals receive compensation in return for providing information. This is significant in that the authority to control and manage data is transferred from companies to information subjects, as information subjects actively access their own data and utilize the benefits of that data. In the information society, it is difficult for information subjects to protect and manage their own data or respond to complex IT technologies, making it virtually impossible for them to actively exercise their right to self-determination of personal information. As the amount of personal data generated and accumulated has become enormous and diverse, the problem of strengthening control over their own data and protecting their information has arisen, and MyData is the solution to this. In other words, by granting the authority to open and utilize data according to the will of the information subject, control and authority over their own data have been strengthened.

In the medical field, a platform is built to manage data such as health checkup results and prescriptions held by hospitals and link them with customized health management (exercise and nutrition management) services. In addition, companies will provide various health management services such as mental health management services, customized diet development and provision services. In the medical field, MyData is recognized as the most important digital enabler for a patient-centered paradigm shift in which citizens have the right to decide on their own health information and use it where and how they want to enjoy health promotion benefits. Accordingly, in February 2021, the government began building My HealthWay, and under the three major promotion strategies of establishing legal and institutional foundations for national health promotion and medical service innovation, and the private sector providing innovative services, the government is carrying out 12 tasks in four fields. This is to establish a health information collection system, build a My HealthWay platform, support the use of personally-driven health information, and establish a foundation for introducing MyData in the medical field.

In order to connect patients, medical staff, pharmacies, and delivery drivers around the world and collect disease data, it must be based on the regulatory and legislative situations of each country. In Korea, personal information inquiry requires consent from the individual in accordance with the Personal Information Protection Act, and in Europe, it is possible to use it without prior consent in accordance with the General Data Protection Regulation (GDPR). In the United States, it varies by state, but according to U.S.C.52a(a), personal information includes information such as education, financial transactions, medical history, criminal history, and employment history, and includes things that can specifically identify an individual, such as a name, personal identification number, fingerprints, voice prints, and photographs. Since the concept of the right to self-determination of the information subject does not exist, it is a civil matter that the person who created and used the information must compensate the victim in the event of a problem with personal information, and the state does not intervene at all in this process. At this time, although it varies depending on the situation or legislative regulations of each country, the subject of the platform of the present invention that uses medical records is located in Korea, so it is assumed that domestic law applies and consent is required.

Referring to FIG. 2, the construction unit (310) can collect education, career, and qualification information from at least one medical staff terminal (400) to construct a human resource pool. At this time, in order to filter out unqualified medical staff who are trying to enter the human resource pool of the present invention with forged licenses, one embodiment of the present invention can verify a license by sharing a database with a related organization such as a trusted third party or making a query to a server of the related organization and receiving a response thereto. However, in order to prevent situations such as recent cases where unlicensed minors rent cars without permission using their parents' licenses in non-face-to-face car rentals, it is possible to additionally prove that the person who is currently trying to have their license authenticated is the person on the license by using the face of the medical staff obtained through a real-time video call and the facial feature points of the medical staff included in the license.

The request unit (320) can request treatment from the medical staff terminal (400) when the user terminal (100) requests treatment. At this time, the department to receive treatment can be automatically classified after the user's symptoms are input, or the department can be input by the user's choice. When the department is selected, the request for treatment is transmitted to the medical staff terminal (400) whose specialty is registered in the department, and when the medical staff terminal (400) accepts it, a series of contracts including the request and approval of treatment can be concluded.

The connection part (330) can connect the user terminal (100) and the medical staff terminal (400) when the medical treatment is accepted at the medical staff terminal (400). The user terminal (100) can apply for treatment and receive treatment online. Of course, treatment can be received offline in person, but this is the same as receiving treatment in person after making an online reservation, so it will not be described in detail. In this case, prescription delivery and delivery other than face-to-face treatment can be applied as is. The medical staff terminal (400) can accept the treatment of the user terminal (100) and be connected to the user terminal (100).

The interpretation unit (340) may perform machine translation by connecting at least one interpretation terminal (not shown) to the user terminal (100) and the medical staff terminal (400) when the language used in the user terminal (100) and the language used in the medical staff terminal (400) are different, or by converting voice into text using a translation application and then performing translation. When using a translation application, the text converted into STT (Speech To Text) is converted into a language that the machine can decipher through natural language processing (NLP), and when conveying the translated language to the other party, the above-described process is performed in reverse order. In other words, the translated language is converted into a language that a human can speak through natural language processing (NLP), and this can be output as voice or text using TTS (Text To Speech).

The prescription supply unit (350) collects the location of the pharmacy, medicines in stock, and operating hours from at least one pharmacy terminal (500) to build a pharmacy pool, and when a prescription is transmitted from a medical staff terminal (400), the pharmacy terminal (500) that holds the medicines included in the prescription is selected based on the current location or input location of the user terminal (100), and the pharmacy terminal (500) can be listed and transmitted to the user terminal (100). At this time, the pharmacy terminal (500) can share the medicine database in real time, and since all medicines prepared while processing the prescription are computerized, the inventory of the medicines can be grasped in real time.

The delivery unit (360) can transmit the delivery request to at least one delivery terminal (600) when a delivery service is requested from a user terminal (100), and can transmit the pharmacy location and delivery address to the delivery terminal (600) that accepted the delivery request. At this time, the delivery person can be a caregiver, nurse, or nursing assistant, so that idle professionals can enter the labor market. Even if they are freelancers, there are cases where they actually work with employees, so even if caregivers, nurses, and nursing assistants obtain qualifications, they often end up wasting their licenses as long-term workers and do not want to return to their main job. In the United States, doctors and nurses earn the same or more monthly salaries, so their allowances are similar and they are treated accordingly, but in Korea, nurses often quit due to the abuse of doctors and the harassing of patients. Therefore, by incorporating nurses, who are idle workers, into the platform of the present invention and allowing them to work as much as they want when they want, idle workers can also be incorporated into the labor market and encouraged to be economically active.

The reward setting unit (370) can be set to use at least one service within the platform service by using rewards accumulated through at least one reward application on the user terminal (100).

The big data unit (380) can, if consent to use medical information is obtained from the user terminal (100), pseudonymize or anonymize the medical information of the user terminal (100) and then store it as MyData, thereby constructing big data with demographic data including each country, race, region, gender, disease, and age. The big data unit (380) can store raw data in parallel and in a distributed manner, refine unstructured data, structured data, and semi-structured data included in the stored raw data, perform preprocessing including classification as metadata, perform analysis including data mining on the preprocessed data, and output the analyzed data in a visualized form. At this time, the raw data may be data that has been de-identified or pseudonymized so as not to identify multiple subjects. At this time, data mining may include performing classification to predict the class of new data by exploring the inherent relationship between preprocessed data and learning a training data set whose class is known, or clustering to group data based on similarity without class information. At this time, the user terminal (100) may be multiple user terminals (100) belonging to multiple subjects.

A big data processing unit (380) can set at least one personal information to have a unique (Distinguishability) value converted to pseudonymization processing, and can set it so that at least one piece of information, which is an original, cannot be inferred from the value converted to pseudonymization processing, and can set it so that high availability is achieved because the original does not exist in the system. In order to perform pseudonymization processing, at least one piece of information must have a unique (Distinguishability) value converted to masking, and can set it so that at least one piece of information, which is an original, cannot be inferred from the value converted to masking, and dynamic data masking that is not restored within at least one of pages, programs, and applications that access personal information must be applied, and service high availability must be achieved.

Pseudonymization processing may be performed by at least one of heuristic pseudonymization, encryption, and exchange methods, but is not limited thereto. In addition, pseudonymization processing may be performed alone or in combination with one or at least one of aggregation, data reduction, data suppression, and data masking. After performing pseudonymization processing, a privacy model that quantitatively evaluates the risk of privacy exposure for at least one piece of pseudonymized information may be run.

As a result of operating the privacy model, it is checked whether at least one pseudonymized information has been de-identified with a preset probability level or higher, and if the check result shows that at least one pseudonymized information has not been de-identified with a preset probability level or higher, it is transmitted to an administrator terminal to request feedback, and if it has been de-identified with a preset probability level or higher, it can be classified as input data for constructing big data. At this time, the privacy model may be one or a combination of at least one of k-anonymity, l-diversity, and t-closeness, but is not limited thereto.

At this time, the Differential Privacy Model can be further utilized to prevent de-identified data from being re-identified. This is a model proposed by C. Dwork to supplement the weak points of k-anonymity and l-diversity, and is an approach that limits the possibility of identification through probabilistic transformation of the records themselves rather than simple numerical changes. The basic goal of the Differential Privacy Model is to build a system that prevents ① the results obtained through the application of a differential algorithm in a data set that does not contain information about a specific person from being distinguished from ② the results obtained in a data set that contains information about that specific person. To achieve this goal, a method is used to remove the identifiability of an individual by inserting a precisely calculated amount of noise into statistical records. In order to protect sensitive information, the Differential Privacy Model systematically inserts random numbers, and these random numbers act as a kind of noise. By inserting this noise, the same results can be produced regardless of whether a data set contains information about a specific person.

The advertising investment attraction unit (390) can accumulate medical data diagnosed, treated, and prescribed by the medical staff terminal (400) and use it as a report to attract at least one pharmaceutical company's advertisement or investment. For example, it can also generate a prediction model that can predict the total expected number of patients by disease, year, month, and region using this. The National Health Review and Assessment Service's pharmaceutical prescription data and healthcare big data service data and the population statistics data provided by the National Statistical Office can be used. First, in the case of the National Health Review and Assessment Service's pharmaceutical prescription data, along with the prescription year and month information, the administrative district code of the city, county, or district where the pharmaceutical was prescribed, the ATC code, which is an international pharmaceutical classification code, the total number of pharmaceutical prescriptions, etc. can be used for analysis, and in the case of the healthcare big data service, the information on the total number of patients nationwide by disease, year, and month can be used for analysis. Finally, in the case of the population statistics information of the National Statistical Office, it can be used to reflect the total population information necessary for predicting the number of patients in administrative districts where prescription information is provided in the pharmaceutical prescription data. In addition, since these data are currently provided in the form of REST API or Excel, the present invention can automate the collection and database creation of these data by creating a Python-based automatic collection tool, and the data stored in the database can then be used as analysis data.

The details of each step of the prediction model analysis procedure are as follows. ① In the data collection step, pharmaceutical prescription data, healthcare big data service, and population statistics information data are collected through an automatic collection tool. ② In the data preprocessing step, data preprocessing for analysis is performed, such as removing missing information or unnecessarily duplicated data from the data collected in step ①. ③ In the data conversion step, the established administrative district code table, the administrative district code of the population statistics information, and the county and district administrative district codes of the pharmaceutical prescription data are used to convert the data into the total number of prescriptions for the relevant drug by prescription year and month, by city or county, and the total population of the relevant city or county. ④ In the correlation analysis step, the results of adding up the total number of prescriptions for drugs by city or county by year and month and the actual total number of patients by year and month for the diseases to which the relevant drugs are prescribed in the healthcare big data service are used to select information on drugs that are actually mainly effective for the relevant diseases.

⑤ In the regression analysis step, a simple linear regression analysis is performed based on the data on the total number of prescriptions per year and month and the actual total number of patients per year and month used in the ④ correlation analysis step, and a linear regression equation is obtained for calculating the expected total number of patients based on the total number of prescriptions per year and month. Afterwards, the total number of prescriptions per year and month is substituted into the mathematical equation described below to calculate the expected total number of patients. ⑥ In the step of calculating the expected total number of patients and risk by region, the weighted value obtained by dividing the total number of prescriptions by the total population of the region from the data converted in step ③ is calculated, and the number of patients corresponding to 1% of the expected total number of patients per year and month is multiplied by the weighted value and rounded to the first decimal place to calculate the expected total number of patients by region. Afterwards, the expected total number of patients per year and month by region is divided into quartiles and the regional risk for the disease is classified as mild, moderate, caution, and dangerous.

⑦ In step ⑥, the results in the form of a time series predicted through a regression model are applied to the ARIMA model, a time series prediction model, to enable long-term prediction by applying the predicted total number of patients by year, month, region, and so on.

The prediction model of the present invention needs to predict the total number of patients based on a linear regression equation derived through regression analysis of the total number of prescriptions for medicines by disease year and month and the actual total number of patients for the disease. The mathematical equation for this is as follows.

The total number of patients expected per month obtained through mathematical expression 1 is then used to calculate the expected number of patients for each region. At this time, in order to consider a more accurate number of expected patients for each region, it is necessary to use a weight value that considers the number of prescriptions for medicines compared to the population for each region. This weight value can be obtained by considering the deviation in the number of prescriptions for medicines for each region, and mathematical expression 2 is used for this purpose.

Mathematical expression 1 derives the expected total number of patients by year and month by considering the number of prescriptions for the corresponding disease in each region. In order to obtain the expected total number of patients by region using this, the expected total number of patients by year and month must be distributed according to the regional weight values obtained through mathematical expression 2. In order to distribute according to the weight values, the ratio of the regional weight values of the corresponding year and month to the total weight values must be known, and mathematical expression 3 is used to obtain the total weight value accordingly.

In order to obtain the expected total number of patients by region, if the weight value considering the deviation of the number of prescriptions per population by region is calculated using mathematical formula 2, it is possible to obtain the sum of the regional weights for the corresponding month and year using mathematical formula 3 to distribute the expected total number of patients by year and month according to the weight value by region, and to obtain the ratio of the weight value by region accordingly. In order to distribute the expected total number of patients by year and month according to the ratio, the number of patients accounting for 1% of the expected total number of patients by year and month must be known, and this is calculated using mathematical formula 4.

Using mathematical expression 4, the expected total number of patients by year and month, the weighted value considering the drug usage compared to the population by region, the sum of the weights for distribution according to the weight ratio, and the number of patients corresponding to 1% of the expected total number of patients are calculated. Then, mathematical expression 5 is used to obtain the expected total number of patients according to the ratio of the weighted value by year and month by region.

Hereinafter, the operation process according to the configuration of the platform service providing server of the above-described Fig. 2 will be described in detail with reference to Figs. 3 and 4 as examples. However, it will be obvious that the embodiment is only one of various embodiments of the present invention and is not limited thereto.

Referring to FIG. 3, the platform service providing server (300) collects (a) at least one medical professional, (b) pharmacy, and (c) delivery person's career, license, pharmaceutical database, location, business name, consultation time, business hours, etc., and builds a manpower and pharmaceutical pool. In addition, (d) the platform service providing server (300) may be a server that collects information such as diagnosis, treatment, and prescription from the medical professional terminal (400) when performing remote treatment from the medical professional terminal (400) as in (a) of FIG. 4 after receiving consent to use MyData and consent to use medical information when receiving membership from the user terminal (100) and builds big data, and (b) assigns a delivery request to the delivery person (600) when requesting delivery of a prepared medicine from the user terminal (100). And, as in (c), reviews or ratings can be received from user terminals (100), and each data can be collected to attract investment from pharmaceutical companies or advertisements, as in (d).

Matters not described in the method for providing medical platform services for supporting idle manpower and multinational patients of FIGS. 2 to 4 are identical to or can be easily inferred from the contents described in the method for providing medical platform services for supporting idle manpower and multinational patients of FIG. 1 above, and therefore, description thereof will be omitted below.

FIG. 5 is a diagram showing a process of transmitting and receiving data between each component included in the medical platform service providing system for supporting idle manpower and multinational patients of FIG. 1 according to one embodiment of the present invention. Hereinafter, an example of a process of transmitting and receiving data between each component will be described through FIG. 5, but the present invention is not limited to this embodiment, and it is obvious to those skilled in the art that the process of transmitting and receiving data shown in FIG. 5 may be changed according to various embodiments described above.

Referring to FIG. 5, the platform service providing server collects academic background, career, and qualification information from at least one medical staff terminal to build a human resource pool (S5100).

And, when a user terminal requests treatment, the platform service providing server requests treatment from a medical staff terminal (S5200), and when the medical staff terminal accepts the treatment, it connects the user terminal and the medical staff terminal (S5300).

The order of the above-described steps (S5100 to S5300) is only an example and is not limited thereto. That is, the order of the above-described steps (S5100 to S5300) may be mutually changed, and some of the steps may be executed simultaneously or deleted.

Matters not described in the method for providing a medical platform service for supporting idle manpower and multinational patients of FIG. 5 are identical to or can be easily inferred from the contents described in the method for providing a medical platform service for supporting idle manpower and multinational patients through FIGS. 1 to 4 above, and therefore, description thereof will be omitted below.

The method for providing a medical platform service for supporting idle manpower and multinational patients according to one embodiment described through FIG. 5 can also be implemented in the form of a recording medium including computer-executable instructions, such as an application or program module executed by a computer. The computer-readable medium can be any available medium that can be accessed by a computer, and includes both volatile and nonvolatile media, removable and non-removable media. In addition, the computer-readable medium can include all computer storage media. The computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storing information, such as computer-readable instructions, data structures, program modules, or other data.

The method for providing a medical platform service for supporting idle workers and multinational patients according to one embodiment of the present invention described above can be executed by an application that is basically installed in a terminal (which may include a program included in a platform or operating system basically installed in the terminal), and can also be executed by an application (i.e., a program) directly installed in a master terminal by a user through an application providing server such as an application store server, an application, or a web server related to the corresponding service. In this sense, the method for providing a medical platform service for supporting idle workers and multinational patients according to one embodiment of the present invention described above can be implemented as an application (i.e., a program) that is basically installed in a terminal or directly installed by a user, and can be recorded on a computer-readable recording medium such as a terminal.

The above description of the present invention is for illustrative purposes, and those skilled in the art will understand that the present invention can be easily modified into other specific forms without changing the technical idea or essential characteristics of the present invention. Therefore, it should be understood that the embodiments described above are exemplary in all respects and not restrictive. For example, each component described as a single component may be implemented in a distributed manner, and likewise, components described as distributed may be implemented in a combined form.

The scope of the present invention is indicated by the claims described below rather than the detailed description above, and all changes or modifications derived from the meaning and scope of the claims and their equivalent concepts should be interpreted as being included in the scope of the present invention.

Claims (7)

User terminal for applying for treatment and receiving treatment online; A medical staff terminal that accepts treatment from the user terminal and is connected to the user terminal; and A platform service providing server including a construction unit that collects education, career, and qualifications from at least one medical staff terminal to build a human resources pool, a request unit that requests treatment to the medical staff terminal when a user terminal applies for treatment, a connection unit that connects the user terminal and the medical staff terminal when the treatment is accepted by the medical staff terminal, a prescription provision unit that collects the location, available medicine, and operating hours of a pharmacy from at least one pharmacy terminal to build a pharmacy pool, and when a prescription is transmitted from the medical staff terminal, selects a pharmacy terminal that has the medicine included in the prescription based on the current location or input location of the user terminal, makes a list, and transmits the list to the user terminal, and a delivery unit that transmits a delivery request to at least one delivery terminal when the user terminal requests a delivery service and transmits the pharmacy location and delivery address to the delivery terminal that has accepted the delivery request; Including, At least one of the above delivery terminals includes an autonomous driving robot, A medical platform service provision system for supporting idle workers and multinational patients, characterized in that the above delivery service is a delivery service including a nursing service or a care service. In paragraph 1, The above platform service providing server is, An interpretation unit that performs machine translation by connecting at least one interpretation terminal to the user terminal and the medical staff terminal when the language used by the user terminal and the medical staff terminal are different, or converting voice into text using a translation application and then performing translation; A medical platform service provision system for supporting idle manpower and multinational patients, characterized by further including: In paragraph 1, The above platform service providing server is, A reward setting unit configured to use at least one service within the platform service by using rewards accumulated through at least one reward application on the user terminal; Including more, A medical platform service provision system for supporting idle workers and multinational patients, characterized in that the above reward is a reward paid online or offline. In paragraph 1, The above platform service providing server is, In case consent to use medical information is obtained from the user terminal, the medical information of the user terminal is pseudonymized or anonymized and then stored as MyData, and a big data conversion unit that constructs big data with demographic data including each country, race, region, gender, disease and age and the MyData as structured, unstructured and semi-structured data; A medical platform service provision system for supporting idle manpower and multinational patients, characterized by further including: In paragraph 4, The above platform service providing server is, An advertising investment attraction department that accumulates medical data diagnosed, treated and prescribed by the above medical staff terminal and uses it as a report to attract advertising or investment from at least one pharmaceutical company; A medical platform service provision system for supporting idle manpower and multinational patients, characterized by further including: In paragraph 5, A medical platform service providing system for supporting idle manpower and multinational patients, characterized in that the above medical data includes the results of a survey conducted at the user terminal. In paragraph 1, The above medical staff terminal is a medical platform service provision system for supporting idle manpower and multinational patients, characterized in that it is a terminal that allows a prescription to be printed from the kiosk and pharmacy terminal by selecting a button without face-to-face treatment when a chronic disease patient registers at a kiosk.

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