KR102510599B1 - Cloud computing environment-based network service system and method for generating and managing secondary medical opinions on anonymous medical information - Google Patents

Abstract

The present invention relates to a network service system based on a cloud computing environment for generating and managing secondary medical opinions for anonymized medical information, and more specifically, as a network service system based on a cloud computing environment, a platform for operating a medical knowledge platform. server; a user terminal that provides medical information to the medical knowledge platform and requests and receives a secondary medical opinion; and a medical expert terminal receiving anonymized medical information through the medical knowledge platform and providing a secondary medical opinion corresponding to the medical expert's personal opinion rather than a prescription according to the medical law, wherein the platform server includes the user terminal A member registration unit that processes authentication using non-contact biometric authentication and registers as a member; A login processing unit that processes the login of registered members using non-contact biometric authentication; a query input unit for receiving a selection of a medical field for listening to a secondary medical opinion from the user terminal of a logged-in member and receiving a query; an anonymization processing unit that collects the user's medical information according to the user's consent and anonymizes the medical information and the query input from the query input unit so that the user cannot be identified; A storage unit for storing anonymized medical information and queries; an opinion requesting unit for requesting a secondary medical opinion by sending anonymized personal health information and a query of the user to medical experts in a pre-configured expert pool according to a specialized field corresponding to the medical field selected in the query input unit; an opinion generating unit receiving a secondary medical opinion corresponding to a medical expert's personal opinion, which is not a prescription according to the medical law, from the medical expert terminal according to a request of the opinion requesting unit; an opinion providing unit for providing the received secondary medical opinion to the user terminal; and an evaluation calculation unit that calculates quantitative and qualitative evaluations for the secondary medical findings.
In addition, the present invention relates to a network service method based on a cloud computing environment for generating and managing secondary medical opinions for anonymized medical information, and more specifically, as a network service method based on a cloud computing environment, operating a medical knowledge platform. platform server; a user terminal that provides medical information to the medical knowledge platform and requests and receives a secondary medical opinion; and a medical expert terminal receiving anonymized medical information through the medical knowledge platform and providing a secondary medical opinion corresponding to the personal opinion of the medical expert rather than a prescription according to the medical law. Each step is performed in (1) processing authentication using non-contact biometric authentication through the user terminal and registering the user as a member; (2) processing the login of registered members using non-contact biometric authentication; (3) receiving a selection of a medical field for listening to a secondary medical opinion from the user terminal of the logged-in member; (4) collecting the user's medical information according to the user's consent, and anonymizing and storing the medical information so that the user cannot be identified; (5) receiving a query from the user terminal, anonymizing and storing the query; (6) requesting a second medical opinion by sending anonymized medical information and queries of the user to medical experts in a pool of experts pre-configured according to the specialized field corresponding to the medical field selected in step (3); (7) receiving a secondary medical opinion corresponding to the medical expert's personal opinion, which is not a prescription according to the medical law, from the medical expert terminal according to the request of step (6); (8) providing the received secondary medical opinion to the user terminal; and (9) calculating quantitative and qualitative evaluations for the secondary medical findings.
According to the cloud computing environment-based network service system and method for generating and managing secondary medical opinions for anonymized medical information proposed in the present invention, medical information of users is anonymized through a medical knowledge platform operated by a platform server. By delivering it to the medical expert, the user can obtain professional information from the medical expert without worrying about the exposure of personal information, and the medical expert can accurately grasp the user's condition through anonymized medical information. By receiving secondary medical opinions from medical experts and providing them to users, medical experts can comfortably provide their opinions as experts without being responsible for prescriptions, and users do not have to visit multiple hospitals. You can get a professional opinion without it.

Description

Cloud computing environment-based network service system and method for generating and managing secondary medical opinions for anonymized medical information

The present invention relates to a cloud computing environment-based network service system and method, and more particularly, to a cloud computing environment-based network service system and method for generating and managing secondary medical opinions for anonymized medical information.

Under the current medical law, in order to receive medical treatment at higher medical institutions such as university hospitals and general hospitals, a medical treatment request must be issued through prior medical treatment at primary and secondary medical institutions. treatment begins.

However, despite the submission of all medical data and test results, it is frequently required to perform all test procedures again during treatment at higher medical institutions, which causes economic and time losses to patients. In addition, many patients who want in-depth interpretation of treatment and prescription results at higher-level medical institutions and listening to other prescription opinions are seeking reexamination at other higher-level medical institutions.

Such a re-examination request from a higher level medical institution can share various types of images and prescription results by utilizing the Web-Pacs (Picture Archiving and Communication System) used by the medical institution. This is due to reports of many lawsuits related to the identification of the cause of legal responsibility in case of medical malpractice caused by medical treatment and prescription only through diagnosis.

On the other hand, patients use portal site searches to find out their health status and to find out treatment methods and progress according to diseases. However, there is too much information posted on the portal site, and most of it is unverified even though it is medical information that requires expertise, so it is difficult for non-expert patients to verify the accuracy of the information on their own, and patients may become unnecessarily anxious or make wrong decisions. However, since the information is open to the public, there is a problem that the patient cannot post direct and detailed information.

Therefore, it is necessary to develop a technology that enables patients to obtain professional information without worrying about exposure of personal medical information and reduces the burden of responsibility for prescriptions by medical staff.

As a prior art related to the present invention, Patent Publication No. 10-2020-0144252 (title of the invention: medical information-based community service providing method and apparatus, publication date: December 29, 2020) has been disclosed.

The present invention is proposed to solve the above problems of the previously proposed methods, and by anonymizing the user's medical information through a medical knowledge platform operated by a platform server and delivering it to a medical expert, the user can expose personal information. Professional information can be obtained from medical experts without worrying about personal information, medical experts can accurately grasp the user's condition through anonymized medical information, and secondary medical opinions corresponding to the personal opinions of medical experts, not prescriptions under the medical law By receiving the information from medical experts and providing it to users, medical experts can comfortably provide their opinions as experts without burdening responsibility according to prescriptions, and users can receive professional opinions without visiting various hospitals. Its purpose is to provide a cloud computing environment-based network service system and method for generating and managing secondary medical findings for information.

A cloud computing environment-based network service system for generating and managing secondary medical opinions for anonymized medical information according to the features of the present invention for achieving the above object is,

As a cloud computing environment-based network service system,

A platform server that operates a medical knowledge platform;

a user terminal that provides medical information to the medical knowledge platform and requests and receives a secondary medical opinion; and

A medical expert terminal receiving anonymized medical information through the medical knowledge platform and providing a secondary medical opinion corresponding to the personal opinion of a medical expert rather than a prescription according to the medical law,

The platform server,

a member registration unit for processing authentication using non-contact biometric authentication through the user terminal and registering as a member;

A login processing unit that processes the login of registered members using non-contact biometric authentication;

a query input unit for receiving a selection of a medical field for listening to a secondary medical opinion from the user terminal of a logged-in member and receiving a query;

an anonymization processing unit that collects the user's medical information according to the user's consent and anonymizes the medical information and the query input from the query input unit so that the user cannot be identified;

A storage unit for storing anonymized medical information and queries;

an opinion requesting unit for requesting a secondary medical opinion by transmitting anonymized medical information and a query of the user to medical experts in a pre-configured expert pool according to a specialized field corresponding to the medical field selected in the query input unit;

an opinion generating unit receiving a secondary medical opinion corresponding to a medical expert's personal opinion, which is not a prescription according to the medical law, from the medical expert terminal according to a request of the opinion requesting unit;

an opinion providing unit for providing the received secondary medical opinion to the user terminal; and

It is characterized in that it includes an evaluation calculation unit that calculates a quantitative evaluation and a qualitative evaluation for the secondary medical opinion.

Preferably,

The apparatus may further include an expert pool component configured to configure an expert pool by processing authentication through the medical expert terminal and classifying medical experts according to specialized fields.

More preferably,

The query input unit receives location information of the user terminal,

The opinion providing unit uses the position of a medical institution to which a medical expert belongs in a pre-configured expert pool according to a specialized field corresponding to the selected medical field, and transmits location and information of a medical institution adjacent to the location information received by the query input unit to the user terminal. can provide more.

Preferably, the anonymization processing unit,

It collects medical information including EMR (Electric Medical Record) information including images and photos, prescriptions, medical records, and self-reported health information, and the collected medical information can be pseudonymized through standard templates to make it anonymous.

Preferably, the quantitative evaluation,

It can be calculated using a Likert scale index, adoption frequency, healthcare professional activity index, and evaluation index below the median score of healthcare professionals.

Preferably,

Further comprising an evaluation receiving unit for receiving a user's evaluation result for the secondary medical opinion from the user terminal,

The evaluation calculation unit,

The qualitative evaluation may be calculated through the evaluation result of the user for the secondary medical opinion.

More preferably, the evaluation calculator,

The evaluation result of the user may be processed through a sentimental analysis technique, and the processing result may be calculated as the qualitative evaluation.

Preferably, the opinion providing unit,

Searching for quantitative evaluation and qualitative evaluation results of the previous secondary medical opinion of the healthcare professional, and providing the retrieved quantitative evaluation and qualitative evaluation results to the user terminal together with the secondary medical opinion received from the opinion generating unit. can

A cloud computing environment-based network service method for generating and managing secondary medical opinions for anonymized medical information according to the features of the present invention for achieving the above object is,

As a cloud computing environment-based network service method,

A platform server that operates a medical knowledge platform;

a user terminal that provides medical information to the medical knowledge platform and requests and receives a secondary medical opinion; and

In a cloud computing environment-based network service system configured including a medical expert terminal that receives anonymized medical information through the medical knowledge platform and provides secondary medical opinions corresponding to the personal opinions of medical experts, not prescriptions under the medical law. Each step is performed

(1) processing authentication using non-contact biometric authentication through the user terminal and registering the user as a member;

(2) processing the login of registered members using non-contact biometric authentication;

(3) receiving a selection of a medical field for listening to a secondary medical opinion from the user terminal of the logged-in member;

(4) collecting the user's medical information according to the user's consent, and anonymizing and storing the medical information so that the user cannot be identified;

(5) receiving a query from the user terminal, anonymizing and storing the query;

(6) requesting a second medical opinion by sending anonymized medical information and queries of the user to medical experts in a pool of experts pre-configured according to the specialized field corresponding to the medical field selected in step (3);

(7) receiving a secondary medical opinion corresponding to the medical expert's personal opinion, which is not a prescription according to the medical law, from the medical expert terminal according to the request of step (6);

(8) providing the received secondary medical opinion to the user terminal; and

(9) Calculating a quantitative evaluation and a qualitative evaluation for the secondary medical opinion is characterized in its configuration.

Preferably, before step (1),

(0) The method may further include processing authentication through the medical expert terminal and configuring a pool of experts by classifying medical experts according to specialized fields.

More preferably,

In the step (3), location information of the user terminal is received,

In the step (8), the position and information of the affiliated medical institution adjacent to the location information received in the step (3) is used by using the position of the medical institution to which the medical expert belongs in the expert pool pre-configured according to the specialized field corresponding to the selected medical field. may be further provided to the user terminal.

Preferably, in the step (4),

It collects medical information including EMR (Electric Medical Record) information including images and photos, prescriptions, medical records, and self-reported health information, and the collected medical information can be pseudonymized through standard templates to make it anonymous.

Preferably, the quantitative evaluation,

It can be calculated using a Likert scale index, adoption frequency, healthcare professional activity index, and evaluation index below the median score of healthcare professionals.

Preferably, between step (8) and step (9),

Receiving a user's evaluation result for the secondary medical opinion from the user terminal;

The qualitative evaluation of step (9) is,

It can be calculated through the evaluation result of the user for the secondary medical opinion.

More preferably, in the step (9),

The evaluation result of the user may be processed through a sentimental analysis technique, and the processing result may be calculated as the qualitative evaluation.

Preferably, in the step (8),

Quantitative evaluation and qualitative evaluation results of the previous secondary medical opinion of the healthcare professional are retrieved, and the retrieved quantitative evaluation and qualitative evaluation results are provided to the user terminal together with the secondary medical opinion received in step (7). can do.

According to the cloud computing environment-based network service system and method for generating and managing secondary medical opinions for anonymized medical information proposed in the present invention, medical information of users is anonymized through a medical knowledge platform operated by a platform server. By delivering it to the medical expert, the user can obtain professional information from the medical expert without worrying about the exposure of personal information, and the medical expert can accurately grasp the user's condition through anonymized medical information. By receiving secondary medical opinions from medical experts and providing them to users, medical experts can comfortably provide their opinions as experts without being responsible for prescriptions, and users do not have to visit multiple hospitals. You can get a professional opinion without it.

1 is a diagram showing the configuration of a cloud computing environment-based network service system for generating and managing secondary medical opinions for anonymized medical information according to an embodiment of the present invention.
2 is a diagram showing a data processing flow in a network service system based on a cloud computing environment for generating and managing secondary medical opinions for anonymized medical information according to an embodiment of the present invention.
3 is a diagram for explaining an expert pool configured in a cloud computing environment-based network service system for generating and managing secondary medical opinions for anonymized medical information according to an embodiment of the present invention.
4 is a diagram for explaining medical information collected in a network service system based on a cloud computing environment for generating and managing secondary medical opinions for anonymized medical information according to an embodiment of the present invention.
FIG. 5 is a view showing how an evaluation score is derived in a cloud computing environment-based network service system for generating and managing secondary medical opinions for anonymized medical information according to an embodiment of the present invention.
6 is a diagram illustrating sentiment analysis in a network service system based on a cloud computing environment for generating and managing secondary medical opinions for anonymized medical information according to an embodiment of the present invention.
7 is a flow diagram of a cloud computing environment-based network service method for creating and managing secondary medical opinions for anonymized medical information according to an embodiment of the present invention.
8 is a diagram showing the data flow of the cloud computing environment-based network service method for creating and managing secondary medical opinions for anonymized medical information according to an embodiment of the present invention from the user's point of view.
9 is a flow diagram further including step S105 in the cloud computing environment-based network service method for generating and managing secondary medical opinions for anonymized medical information according to an embodiment of the present invention.
10 is a flow diagram further including step S185 in the cloud computing environment-based network service method for generating and managing secondary medical opinions for anonymized medical information according to an embodiment of the present invention.

Hereinafter, preferred embodiments will be described in detail so that those skilled in the art can easily practice the present invention with reference to the accompanying drawings. However, in describing a preferred embodiment of the present invention in detail, if it is determined that a detailed description of a related known function or configuration may unnecessarily obscure the gist of the present invention, the detailed description will be omitted. In addition, the same reference numerals are used throughout the drawings for parts having similar functions and actions.

In addition, throughout the specification, when a part is said to be 'connected' to another part, this is not only the case where it is 'directly connected', but also the case where it is 'indirectly connected' with another element in between. include In addition, 'including' a certain component means that other components may be further included, rather than excluding other components unless otherwise specified.

1 is a diagram showing the configuration of a network service system based on a cloud computing environment for generating and managing secondary medical opinions for anonymized medical information according to an embodiment of the present invention. As shown in FIG. 1, a cloud computing environment-based network service system for generating and managing secondary medical opinions for anonymized medical information according to an embodiment of the present invention includes a platform server 100, a user terminal ( 200) and a medical expert terminal 300.

2 is a diagram illustrating a data processing flow in a network service system based on a cloud computing environment for generating and managing secondary medical opinions for anonymized medical information according to an embodiment of the present invention. Here, the Cloud Computing environment is an ICT (Information Communication & Technology) environment based on the Internet and networks. A data server is built in the intangible Internet environment, and both users and providers of data store data through various computing devices. system that can be shared with Compared to a physical DB (Database), which is physical and has a relatively limited capacity and objects to be shared, it is a network base that exists in an intangible form such as a cloud with improved information sharing, processing, storage, and security. I mean the computing environment.

Hereinafter, with reference to FIGS. 1 and 2, each configuration of a cloud computing environment-based network service system for generating and managing secondary medical opinions for anonymized medical information according to an embodiment of the present invention will be described in detail. let it do

The platform server 100 may operate a medical knowledge platform. Here, the medical knowledge platform is a platform through which users and medical experts can connect, make medical inquiries, receive opinions, and share anonymized medical information. The user terminal 200 and the medical expert terminal 300 may access the platform server 100 through a network and use the medical knowledge platform. A detailed configuration of the platform server 100 will be described later with reference to FIG. 3 .

On the other hand, the network is a wired network such as a Local Area Network (LAN), a Wide Area Network (WAN) or a Value Added Network (VAN), a mobile radio communication network, a satellite communication network, It can be implemented in all types of wireless networks such as Bluetooth, Wibro (Wireless Broadband Internet), HSDPA (High Speed Downlink Packet Access), LTE (Long Term Evolution), 5G (5th Generation Mobile Telecommunication), and the like.

The user terminal 200 may provide medical information to the medical knowledge platform and request and receive a secondary medical opinion. Here, a user, a patient, a patient's family, or a person suspected of having a disease, who needs medical knowledge from an expert, can access the medical knowledge platform through the user terminal 200 and request a second medical opinion from a medical expert.

The medical expert terminal 300 is a terminal of medical experts such as doctors, nurses, oriental doctors who provide professional medical opinions, and receives anonymized medical information through a medical knowledge platform to provide personal opinions of medical experts, not prescriptions according to the medical law. can provide a secondary medical opinion corresponding to

Meanwhile, the user terminal 200 and the medical expert terminal 300 may be implemented as electronic devices used by users and medical experts, respectively, and may be implemented as applications, web apps, browsers, SaaS (Software as a Service), etc. for platform use. to access the platform. Here, the electronic device includes a smartphone, a tablet PC (personal computer), a mobile phone, a video phone, an e-book reader, a desktop PC, a laptop PC, a netbook computer, and a workstation. ), a server, a personal digital assistant (PDA), a media box, a game console, an electronic dictionary, or a wearable device, and the wearable device may be an accessory type (eg, a watch, a ring, Bracelets, anklets, necklaces, glasses, contact lenses, or head-mounted-devices (HMDs), integrated into textiles or clothing (e.g. electronic garments), body-worn (e.g. skin pads or tattoo), or a bio-implantable circuit In various embodiments, the electronic device is not limited to the devices described above, and may be a combination of two or more of the various devices described above. there is.

3 is a diagram showing a detailed configuration of a platform server 100 in a network service system based on a cloud computing environment for generating and managing secondary medical opinions for anonymized medical information according to an embodiment of the present invention. As shown in FIG. 3, the platform server 100 of the cloud computing environment-based network service system for generating and managing secondary medical opinions for anonymized medical information according to an embodiment of the present invention includes a member registration unit ( 110), login processing unit 115, query input unit 120, anonymization processing unit 125, storage unit 130, opinion request unit 135, opinion generation unit 140, opinion providing unit 145, and evaluation calculation It may be configured to include a unit 155, and may be configured to further include an expert pool configuration unit 105 and an evaluation receiving unit 150.

The expert pool configuration unit 105 may configure an expert pool by processing authentication through the medical expert terminal 300 and classifying medical experts according to specialized fields. That is, the expert pool configuration unit 105 receives input of medical expert information such as the medical expert's name, affiliated medical institution, and specialized field from the medical expert terminal 300, classifies them according to specialized field, and constructs an expert pool for each specialized field. can Here, the specialized fields may include internal medicine, dermatology, obstetrics and gynecology, orthopedics, thoracic surgery, and dentistry, but each department may also be subdivided to form a pool.

In addition, the expert pool configuration unit 105 can verify medical expert information using a health care practitioner license number, register the verified medical expert in the expert pool, and undergo identity authentication through the medical expert terminal 300. there is.

The member registration unit 110 may process authentication through the user terminal 200 and register as a member. Here, the member registration unit 110 uses various authentication means such as mobile phone number authentication, PIN authentication, co-certificate authentication, and biometric information authentication (fingerprint, palm print, face, pupil, vein, etc.) using the user terminal 200. At least one of them can be used to process authentication and then register as a member.

More specifically, the member registration unit 110 may process authentication using non-contact biometric authentication among biometric information authentication and register members. Non-contact biometric authentication is a method used in various industries due to its excellent security and innovation among various biometrics methods. Through the application of biometric technology based on individual behavioral characteristics, it will be possible to prevent various incidents and accidents caused by theft and forgery of signatures and leakage of personal information.

In particular, when biometric authentication information is combined and used at the time of member registration, compared to authentication methods that depended on the number assigned to personal communication means (cell phone) so far, identification for identity verification in authentication means and data management and control, There is an advantage that security, reliability and stability can be dramatically improved.

In addition, personal biometric authentication information is physical data based on biometric characteristics that cannot be adjusted, changed, forged or altered. Such biometrics-based systems are based on individual biological and behavioral characteristic data, such as retina-scan, fingerprint recognition, palm print recognition, and facial recognition. The member registration unit 110 may simultaneously apply non-contact fingerprint recognition, palm print recognition, face recognition, or two or more methods.

On the other hand, mobile devices such as the user terminal 200 and the medical professional terminal 300 use a web page or application operated by the platform server 100 to capture a finger, palm, face, etc. with a camera to obtain a fingerprint image or palm print image. , a face image can be obtained. At this time, a guide indicating the position or pose of a finger, palm, face, etc. may be output on the screen to be suitable for acquiring a fingerprint, palm print, face, etc. / It is possible to obtain an image with a brightness that can accurately recognize a face.

It is possible to extract feature points from fingerprint images, palm print images, and face images obtained from a mobile device, compare the feature points with each other, determine whether they match, and process identity authentication when they match.

As a specific technology of non-contact fingerprint/palm print recognition using a mobile device, a non-contact fingerprint recognition method disclosed in Patent Registration No. 10-1596298 may be used.

In particular, in the cloud computing environment-based network service system for generating and managing secondary medical opinions for anonymized medical information according to an embodiment of the present invention, for extraction, compatibility, storage, and utilization of non-contact biometric authentication information A method conforming to international standards (ISO·IEC 19794-2:2011; ISO·IEC 19794-2:2011) can be applied.

The login processing unit 115 may process login of a registered member using non-contact biometric authentication. That is, the non-contact biometric authentication used for authentication at the time of member registration in the member registration unit 110 can also be used at the time of logging in, so that safety can be secured. Here, members may include medical experts as well as users, and both users and medical experts may use the medical knowledge platform operated by the platform server 100 after logging in.

The query input unit 120 may receive a selection of a medical field for listening to secondary medical opinions from the user terminal 200 of a logged-in member, and may receive an input of a query. Medical fields can be provided as a list that can be selected by the user, and inquiries about medical matters can be input in the form of text, image, video, multimedia, or a combination thereof.

The anonymization processing unit 125 may collect the user's medical information according to the user's consent and anonymize the medical information and the query input from the query input unit 120 so that the user cannot be identified.

FIG. 4 is a diagram illustrating medical information collected by a network service system based on a cloud computing environment for generating and managing secondary medical opinions for anonymized medical information according to an embodiment of the present invention. As shown in FIG. 4, the anonymization processing unit 125 of the cloud computing environment-based network service system for generating and managing secondary medical opinions for anonymized medical information according to an embodiment of the present invention includes EMR information, Medical information such as prescriptions, medical records, and self-reported health information can be collected and anonymized. Here, the self-reported health information is information directly input by the user, such as family history and allergies, and may include text or images.

At this time, consent to the collection and sharing of medical information for the purpose of hearing secondary medical opinions may be obtained from the user himself/herself. Under the current medical law, it may be a violation of the medical law to collect, store, and utilize medical information (examination, diagnosis, prescription) about patients collected and created by a specific medical institution by a third party rather than a medical institution. The anonymization processing unit 125 of the present invention collects medical information with the patient's consent, but anonymizes the medical information so that it is not known who the subject of specific information is on the medical knowledge platform, thereby protecting medical information. At this time, since medical information corresponds to sensitive information, non-contact biometric authentication can be additionally requested for the consent process for the collection and anonymization of medical information. information may not be collected.

In addition, the anonymization processing unit 125 collects medical information including EMR (Electric Medical Record) information including images and photos, prescriptions, medical records, and self-reported health information, and collects medical information through standard templates. It can be anonymized by pseudonymization. More specifically, the relevant part of personal information can be pseudonymized during the data collection process through a specialized standard template.

Pseudonymization is an anonymization technique that replaces sensitive information values with cryptographically generated tokens. Pseudonymization is an anonymization technique that can be used in industries such as finance and healthcare, whereby anonymization can be achieved through tokenization or surrogate replacement. By anonymizing the anonymization processing unit 125 through pseudonymization, it is possible to reduce the risk of data use of sensitive medical information, narrow the scope of compliance with medical laws, and maintain the accuracy of medical information while maintaining sensitive information within the medical knowledge platform. Information exposure can be minimized.

Also, the anonymization processing unit 125 may pseudonymize not only the medical information but also the query input from the query input unit 120 to anonymize it. That is, since the contents of the query are related to the user's health condition, they may contain personal information. Therefore, the anonymization processing unit 125 can pseudonymize queries.

The storage unit 130 may store anonymized medical information and queries. That is, the storage unit 130 may store medical information and queries that are pseudonymized so that the information subject is not revealed.

The opinion request unit 135 may request a secondary medical opinion by sending anonymized medical information and a query of the user to medical experts in a pool of experts pre-configured according to the specialized field corresponding to the medical field selected in the query input unit 120. there is. That is, a request for an opinion may be made to a medical expert of an expert pool having a medical field selected by a user as a specialized field by using the expert pool for each specialized field configured in the expert pool configuration unit 105 . At this time, since the anonymized medical information is provided to the medical expert, the medical expert can make an accurate judgment by checking the medical information including professional and detailed contents such as EMR information even if the description of symptoms is insufficient in the query entered by the user.

Meanwhile, the opinion requesting unit 135 may request a secondary medical opinion from all medical experts in the pool of experts whose specialty is the medical field selected by the user, but at least one medical opinion selected from the pool of experts by an allocation algorithm. An opinion may be requested from an expert, or only a medical expert belonging to a medical institution in the same region may be requested according to the user's location. In this case, the allocation algorithm may select a predetermined number of medical experts from the expert pool by using a history of opinion requests, time taken from requesting opinions to input, evaluation of medical experts, and the like.

According to a request of the opinion requesting unit 135, the opinion generation unit 140 may receive a secondary medical opinion corresponding to the personal opinion of the medical expert, not a medical prescription according to the medical law, from the medical expert terminal 300. In other words, a secondary medical opinion is not a prescription under the medical law, but a personal opinion of a medical expert on the contents of a user's inquiry, so there can be no responsibility due to an incorrect opinion. Therefore, it is possible for a medical expert to present a professional and objective opinion while being free from the burden of a medical lawsuit, etc., to assist the user in making a decision.

The opinion provision unit 145 may provide the received secondary medical opinion to the user terminal 200 . Through this secondary medical opinion, the user himself can make a more objective judgment about the next treatment plan and results.

On the other hand, the query input unit 120 receives the location information of the user terminal 200, and the opinion providing unit 145 determines the medical institution belonging to the medical expert within the expert pool pre-configured according to the specialized field corresponding to the selected medical field. Using the location, the location and information of the affiliated medical institution adjacent to the location information received by the query input unit 120 may be further provided to the user terminal 200 . Here, the location information of the user terminal 200 may include a location input by a user or location information by a GPS module.

That is, location information of medical institutions close to the user can be transmitted together based on a geographic information system (GIS) using the locations of medical institutions belonging to medical experts who have participated in the expert pool through authentication. At this time, the location of the transmitted affiliated medical institution may be the location of the affiliated medical institution of the medical expert who entered the secondary medical opinion provided by the opinion providing unit 145, but to protect the medical expert, regardless of the opinion input, the user's The location of the affiliated medical institution within a predetermined distance from the location may be provided.

The evaluation receiving unit 150 may receive a user's evaluation result for the secondary medical opinion from the user terminal 200 . That is, the user may receive and confirm the secondary medical opinion through the user terminal 200, and input an evaluation result for it. The evaluation of the secondary medical opinion may be a star score, a score, a response to a questionnaire, and may include freely written evaluation contents.

The evaluation calculation unit 155 may calculate a quantitative evaluation and a qualitative evaluation for the secondary medical findings. Quantitative evaluation can be calculated using a Likert scale index, adoption frequency, healthcare professional activity index, and evaluation index below the median score of healthcare professionals. In addition, the evaluation calculation unit 155 may calculate a qualitative evaluation through the user's evaluation result for the secondary medical opinion.

FIG. 5 is a diagram illustrating how an evaluation score is derived in a network service system based on a cloud computing environment for generating and managing secondary medical opinions for anonymized medical information according to an embodiment of the present invention. As shown in FIG. 5, the evaluation calculation unit 155 of the cloud computing environment-based network service system for generating and managing secondary medical opinions for anonymized medical information according to an embodiment of the present invention, Likert The final evaluation score for the secondary medical opinion can be calculated by combining the type scale index, adoption frequency, healthcare professional activity index, and evaluation index below the median score of the healthcare professional.

Here, the Likert scale is a scale measuring the degree of positive/negative (satisfied/dissatisfied) for a certain attitude, and is a 5-point Likert scale (very satisfied, generally satisfied, average, generally dissatisfied, very dissatisfied), a 4-point Likert scale (very satisfied, generally satisfied, mostly dissatisfied, very dissatisfied), and a 3-point Likert scale (satisfied, neutral, dissatisfied). In addition, the adoption frequency, the medical professional activity index, and the evaluation index below the median score of the medical expert are means of evaluating the corresponding medical expert, and the adoption frequency indicating the degree to which the secondary medical opinion of the corresponding medical expert is adopted by users, 2 Quantitative evaluation using an activity index indicating the degree to which the primary medical opinion was provided, and an evaluation index below the median score of medical experts indicating how many cases received a lower than the median score among the scores entered by the user for the secondary medical opinion provided can do

Meanwhile, the evaluation calculation unit 155 may process the user's evaluation result through a sentimental analysis technique and calculate the processing result as a qualitative evaluation. Here, sentiment analysis is a field of text mining technology that automatically extracts text information related to emotion. Analyze.

6 is a diagram illustrating sentiment analysis in a network service system based on a cloud computing environment for generating and managing secondary medical opinions for anonymized medical information according to an embodiment of the present invention. As shown in FIG. 6, the evaluation calculation unit 155 of the cloud computing environment-based network service system for generating and managing secondary medical opinions for anonymized medical information according to an embodiment of the present invention, Sentiment analysis can be performed to classify emotions into positive, negative, and neutral by analyzing evaluation contents freely written by users rather than numbers or options. Depending on the embodiment, the emotion of the evaluation result of the user may be analyzed through an emotion word frequency analysis that analyzes how many times a keyword related to emotion is entered in the original text data using an emotion dictionary. However, keywords representing negative emotions such as pain, pain, and pain may appear frequently due to the nature of medical data, but cannot necessarily be judged as negative, so the evaluation calculation unit 155 determines the secondary medical opinion. Sentiment analysis can be performed by constructing a separate emotion dictionary for users' evaluation of the product.

On the other hand, the opinion providing unit 145 searches for quantitative evaluation and qualitative evaluation results of the previous secondary medical opinion of the medical professional, and retrieves the searched quantitative and qualitative evaluation results from the finding generating unit 140. It can be provided to the user terminal 200 together with the primary medical findings. In other words, while providing a secondary medical opinion, the evaluation of the medical expert who entered the opinion or the evaluation result of the medical expert's opinion is also provided to determine the degree of trust in the secondary medical opinion provided by the user. can

FIG. 7 is a diagram showing the flow of a network service method based on a cloud computing environment for generating and managing secondary medical opinions for anonymized medical information according to an embodiment of the present invention, and FIG. 8 is an embodiment of the present invention. It is a diagram showing the data flow of the cloud computing environment-based network service method for generating and managing secondary medical opinions for anonymized medical information according to the example from the user's point of view.

The present invention relates to a network service method based on a cloud computing environment for generating and managing secondary medical opinion for anonymized medical information, and generating a secondary medical opinion for anonymized medical information according to an embodiment of the present invention. And each step is performed in a network service system based on a cloud computing environment for management, and may be composed of software recorded in hardware including a memory and a processor. For example, it may be stored and implemented in a personal computer, a notebook computer, a server computer, a PDA, a smart phone, a tablet PC, and the like. In the following, for convenience of description, the subject performing each step may be omitted.

As shown in FIGS. 7 and 8 , a cloud computing environment-based network service method for generating and managing secondary medical opinions for anonymized medical information according to an embodiment of the present invention includes a user terminal 200 authentication and registering the user as a member (S110), processing the log-in of the registered member (S120), selection of a medical field to listen to secondary medical opinions from the user terminal 200 of the logged-in member Receiving input (S130), collecting the user's medical information according to the user's consent, anonymizing and storing the medical information so that the user cannot be identified (S140), receiving a query from the user terminal 200 and anonymizing Storing (S150), requesting a secondary medical opinion by sending anonymized medical information and queries of the user to medical experts within a pre-configured expert pool according to the specialized field corresponding to the selected medical field (S160), medical expert Receiving a secondary medical opinion corresponding to the personal opinion of a medical expert, not a prescription under the medical law, from the terminal 300 (S170), providing the received secondary medical opinion to the user terminal 200 (S180), and It may be implemented by including a step of calculating a quantitative evaluation and a qualitative evaluation for the secondary medical opinion (S190).

9 is a flow diagram further including step S105 in the cloud computing environment-based network service method for generating and managing secondary medical opinions for anonymized medical information according to an embodiment of the present invention. As shown in FIG. 9, in the cloud computing environment-based network service method for generating and managing secondary medical opinions for anonymized medical information according to an embodiment of the present invention, prior to step S110, a medical professional terminal ( 300), processing authentication, and classifying medical experts according to specialties to form an expert pool (S105).

10 is a flow diagram further including step S185 in the cloud computing environment-based network service method for generating and managing secondary medical opinions for anonymized medical information according to an embodiment of the present invention. As shown in FIG. 10, in the cloud computing environment-based network service method for generating and managing secondary medical opinions for anonymized medical information according to an embodiment of the present invention, between steps S180 and S190, the user It may be implemented by further including the step of receiving the user's evaluation result on the secondary medical opinion from the terminal 200 (S185).

Since the details related to each step have been sufficiently described in relation to the cloud computing environment-based network service system for generating and managing secondary medical opinions for anonymized medical information, detailed descriptions will be omitted.

As described above, according to the cloud computing environment-based network service system and method for generating and managing secondary medical opinions for anonymized medical information proposed in the present invention, the medical knowledge platform operated by the platform server 100 By anonymizing the user's medical information and delivering it to the medical expert, the user can obtain professional information from the medical expert without worrying about the exposure of personal information, and the medical expert can accurately determine the user's condition through the anonymized medical information. By receiving secondary medical opinions from medical experts and providing them to users, medical experts can comfortably provide their opinions as experts without being responsible for prescriptions , users can receive professional opinions without visiting various hospitals.

Meanwhile, the present invention may include a computer-readable medium including program instructions for performing operations implemented in various communication terminals. For example, computer-readable media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD_ROMs and DVDs, and floptical disks. It may include hardware devices specially configured to store and execute program instructions, such as magneto-optical media and ROM, RAM, flash memory, and the like.

Such computer-readable media may include program instructions, data files, data structures, etc. alone or in combination. At this time, program instructions recorded on a computer-readable medium may be specially designed and configured to implement the present invention, or may be known and usable to those skilled in computer software. For example, it may include high-level language codes that can be executed by a computer using an interpreter, as well as machine language codes generated by a compiler.

The present invention described above can be variously modified or applied by those skilled in the art to which the present invention belongs, and the scope of the technical idea according to the present invention should be defined by the claims below.

100: platform server
105: expert pool component
110: member register
115: login processing unit
120: query input unit
125: anonymization processing unit
130: storage unit
135: opinion request unit
140: opinion generating unit
145: Opinion provision unit
150: evaluation receiver
155: evaluation calculation unit
200: user terminal
300: medical professional terminal
S105: Step of processing authentication through the medical expert terminal, classifying medical experts according to their specialties, and constructing an expert pool
S110: Process authentication using non-contact biometric authentication through the user terminal and register the user as a member
S120: Process log-in of registered members using non-contact biometric authentication
S130: Step of receiving a selection of a medical field for listening to secondary medical opinions from a user terminal of a logged-in member
S140: Collecting user's medical information according to the user's consent, and anonymizing and storing the medical information so that user identification is impossible
S150: Receiving a query from a user terminal, anonymizing and storing the query
S160: A step of requesting a secondary medical opinion by sending anonymized medical information and queries of the user to medical experts within a pre-configured expert pool according to the specialized field corresponding to the selected medical field
S170: Receiving a secondary medical opinion corresponding to the personal opinion of the medical expert, not a prescription according to the medical law, from the medical expert terminal
S180: Step of providing the received secondary medical opinion to the user terminal
S185: Step of receiving the user's evaluation result on the secondary medical opinion from the user terminal
S190: Step of calculating quantitative evaluation and qualitative evaluation for secondary medical findings

Claims (16)

As a cloud computing environment-based network service system,
A platform server 100 that operates a medical knowledge platform;
a user terminal 200 that provides medical information to the medical knowledge platform and requests and receives a secondary medical opinion; and
A medical expert terminal 300 receiving anonymized medical information through the medical knowledge platform and providing a secondary medical opinion corresponding to the personal opinion of a medical expert rather than a prescription according to the medical law,
The platform server 100,
an expert pool configuration unit 105 configured to form an expert pool by processing authentication through the medical expert terminal 300 and classifying medical experts according to specialties;
A member registration unit 110 for processing authentication using non-contact biometric authentication through the user terminal 200 and registering as a member;
A login processing unit 115 processing login of a registered member using non-contact biometric authentication;
a query input unit 120 that receives a selection of a medical field for listening to a secondary medical opinion from the user terminal 200 of a logged-in member and receives a query;
An anonymization processing unit 125 that collects medical information of the user according to the consent of the user and anonymizes the medical information and the query input from the query input unit 120 so that the user cannot be identified;
A storage unit 130 for storing anonymized medical information and queries;
Opinion request unit 135 for requesting a secondary medical opinion by sending anonymized medical information and queries of the user to medical experts in a pre-configured expert pool according to the specialized field corresponding to the medical field selected in the query input unit 120 ;
an opinion generating unit 140 that receives a secondary medical opinion corresponding to a medical expert's personal opinion, which is not a prescription according to the medical law, from the medical expert terminal 300 according to a request of the opinion requesting unit 135;
an opinion providing unit 145 providing the received secondary medical opinion to the user terminal 200;
an evaluation receiving unit 150 that receives a user's evaluation result for the secondary medical opinion from the user terminal 200; and
An evaluation calculation unit 155 for calculating quantitative evaluation and qualitative evaluation for the secondary medical opinion,
The non-contact biometric authentication,
Feature points are extracted from a fingerprint image, palm print image, or face image obtained from a mobile device, the feature points are compared with each other to determine whether they match, and in case of a match, identity authentication is processed. Extraction of non-contact biometric authentication information, For storage and utilization, a method conforming to the international standard ISO/IEC 19794-2:2011 or ISO/IEC 19794-2:2011 is applied,
The anonymization processing unit 125,
We collect the user's medical information by obtaining consent from the user himself/herself for the collection and sharing of medical information for the purpose of hearing secondary medical opinions, and the non-contact biometric authentication is used for the consent procedure for the collection and anonymization of medical information. If an additional request is made and the user logs in using a method other than the above non-contact biometric authentication, or if the additionally requested non-contact biometric authentication is rejected, medical information will not be collected.
The anonymization processing unit 125,
Collects medical information including EMR (Electric Medical Record) information including images and photos, prescriptions, medical records, and self-reported health information, and anonymizes the collected medical information through a standard template to anonymize it, but tokenize it or anonymized through surrogate substitution;
The opinion request unit 135,
An expert whose specialty is the medical field selected by the user by an allocation algorithm that selects a predetermined number of medical experts from the expert pool using opinion request history, time taken from requesting opinion to input, and evaluation of medical experts Requesting an opinion from at least one health care professional selected from within the pool;
The evaluation calculation unit 155,
Calculating the quantitative evaluation using a Likert scale index, adoption frequency, healthcare professional activity index, and evaluation index below the median score of healthcare professionals;
The evaluation calculation unit 155,
The qualitative evaluation is calculated through the user's evaluation result for the secondary medical opinion, the user's evaluation result is processed through sentimental analysis technology, and the processing result is calculated as the qualitative evaluation; ,
The opinion providing unit 145,
Quantitative evaluation and qualitative evaluation results for previous secondary medical findings of the healthcare professional are searched, and the searched quantitative evaluation and qualitative evaluation results are retrieved together with the secondary medical findings received by the opinion generation unit 140 and the user terminal A cloud computing environment-based network service system for generating and managing secondary medical opinions for anonymized medical information, characterized in that provided in (200).
delete According to claim 1,
The query input unit 120 receives location information of the user terminal 200,
The opinion providing unit 145 uses the location of the medical institution to which the medical expert belongs in the expert pool pre-configured according to the specialized field corresponding to the selected medical field, and uses the location information received by the query input unit 120 to determine the affiliated medical institution adjacent to the location information. A network service system based on a cloud computing environment for generating and managing secondary medical opinions for anonymized medical information, characterized in that further providing location and information to the user terminal (200).
delete delete delete delete delete As a cloud computing environment-based network service method,
A platform server 100 that operates a medical knowledge platform;
a user terminal 200 that provides medical information to the medical knowledge platform and requests and receives a secondary medical opinion; and
A network based on a cloud computing environment including a medical expert terminal 300 receiving anonymized medical information through the medical knowledge platform and providing a secondary medical opinion corresponding to the personal opinion of a medical expert rather than a prescription according to the medical law. Each step is performed in the service system,
(0) processing authentication through the medical expert terminal 300 and forming an expert pool by classifying medical experts according to specialized fields;
(1) processing authentication using non-contact biometric authentication through the user terminal 200 and registering as a member;
(2) processing the login of registered members using non-contact biometric authentication;
(3) receiving a selection of a medical field for listening to a secondary medical opinion from the user terminal 200 of a logged-in member;
(4) collecting the user's medical information according to the user's consent, and anonymizing and storing the medical information so that the user cannot be identified;
(5) receiving a query from the user terminal 200, anonymizing and storing the query;
(6) requesting a second medical opinion by sending anonymized medical information and queries of the user to medical experts in a pool of experts pre-configured according to the specialized field corresponding to the medical field selected in step (3);
(7) receiving, from the medical expert terminal 300, a second medical opinion corresponding to the medical expert's personal opinion, which is not a medical prescription according to the medical law, according to the request of step (6);
(8) providing the received secondary medical opinion to the user terminal 200;
(8.5) receiving a user's evaluation result for the secondary medical opinion from the user terminal 200; and
(9) calculating a quantitative evaluation and a qualitative evaluation for the secondary medical opinion;
The non-contact biometric authentication,
Feature points are extracted from a fingerprint image, palm print image, or face image obtained from a mobile device, the feature points are compared with each other to determine whether they match, and in case of a match, identity authentication is processed. Extraction of non-contact biometric authentication information, For storage and utilization, a method conforming to the international standard ISO/IEC 19794-2:2011 or ISO/IEC 19794-2:2011 is applied,
In the step (4),
We collect the user's medical information by obtaining consent from the user himself/herself for the collection and sharing of medical information for the purpose of hearing secondary medical opinions, and the non-contact biometric authentication is used for the consent procedure for the collection and anonymization of medical information. If an additional request is made and the user logs in using a method other than the above non-contact biometric authentication, or if the additionally requested non-contact biometric authentication is rejected, medical information will not be collected.
In the step (4),
Collects medical information including EMR (Electric Medical Record) information including images and photos, prescriptions, medical records, and self-reported health information, and anonymizes the collected medical information through a standard template to anonymize it, but tokenize it or anonymized through surrogate substitution;
In the step (6),
An expert whose specialty is the medical field selected by the user by an allocation algorithm that selects a predetermined number of medical experts from the expert pool using opinion request history, time taken from requesting opinion to input, and evaluation of medical experts Requesting an opinion from at least one health care professional selected from within the pool;
In the step (9),
Calculate the quantitative evaluation using a Likert scale index, adoption frequency, healthcare professional activity index, and evaluation index below the median score of healthcare professionals;
In the step (9),
The qualitative evaluation is calculated through the user's evaluation result for the secondary medical opinion, the user's evaluation result is processed through sentimental analysis technology, and the processing result is calculated as the qualitative evaluation; ,
In the step (8),
The user terminal (200 ), Cloud computing environment-based network service method for generating and managing secondary medical opinions for anonymized medical information, characterized in that provided.
delete According to claim 9,
In the step (3), location information of the user terminal 200 is received,
In the step (8), the position and information of the affiliated medical institution adjacent to the location information received in the step (3) is used by using the position of the medical institution to which the medical expert belongs in the expert pool pre-configured according to the specialized field corresponding to the selected medical field. A cloud computing environment-based network service method for generating and managing secondary medical opinions for anonymized medical information, characterized in that further providing to the user terminal 200. delete delete delete delete delete

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