KR20210135403A - System for managing personalized health data based on the internet - Google Patents

Abstract

According to the present technology, disclosed are a web-based health data management system and a method thereof. According to a specific embodiment of the present technology, health data including a plurality of pieces of PHR data measured from a wearable device and EMR data acquired from a plurality of medical institutions is converted into an XML format, and then, is automatically updated on every predetermined cycle, and, accordingly, the health data is integrated and stored to be used for a remote medical treatment service or a healthcare home service, the health condition of a user is managed in real time or in non-real time, and various personal medical situations can be shared and checked with multiple users. Therefore, the user can accumulate his or her health data on a web server, and can track his or her health condition anytime and anywhere in an environment connected with the Internet, which can lead to efficient health management and a reduction in medical expenses.

Description

SYSTEM FOR MANAGING PERSONALIZED HEALTH DATA BASED ON THE INTERNET

The present invention relates to a technology for converting personalized health data into a graphic form on a web server and displaying a risk level derived from the health data on a map in a predetermined color.

As interest in smart phone penetration and well-being increases, interest in mobile health care is increasing. In particular, as the trend of smart devices changes to wearable devices that can be worn on the body, new types of values using these devices are being created.

Accordingly, by using wearable devices that can be worn easily for busy modern people, it is possible to manage health in daily life without having to spend time more comfortably, and by collecting in-depth information such as the user's biometric information and activity amount, immediate and various feedback ( Applications that can provide feedback) are being developed.

Medical information technology applied to the healthcare field by developing such applications is expected to have the effect of effectively managing health data and reducing medical costs, which are increasing significantly by continuously managing patients' diseases. Medical information enables sharing and collaboration of patient information and health data among other medical institutions, enables efficient management of patients' large-scale medical information, and expands the scope of medical services through telemedicine. In addition, through medical information technology, patients can request, obtain, and check their health records at any time, and receive various services that can measure and utilize their own health information.

Patients or healthy people can track their health status by accumulating health data about the medical services they have received through medical information technology.

However, health data extracted from a wearable device or a portable medical device is managed with limitations in a web environment that is monitored in real time using a service or application operated by each company.

Accordingly, there is a shortage of resources in visualizing the current condition of a patient by comprehensively analyzing PHR (Personal Health Record) data measured in real time and a plurality of EMR (Electronic Medical Record) data measured at a plurality of medical institutions.

An object of the present invention is to integrate and store a plurality of PHR data measured from a wearable device and EMR data obtained from a plurality of medical institutions by a web server, and intuitively display the risk level derived from the stored PHR data and EMR data through a web browser. We aim to provide an Internet-based health data management system and method that can be transformed to be visualized as

In order to achieve the above object, the present invention includes a web server for managing health data supplied from the smart terminal using a remote medical service application installed on the smart terminal possessed by the user, wherein the health data is It is characterized in that it includes a plurality of PHR (Personal Health Record) data obtained from a wearable device mounted at a location and a plurality of EMR (Electronic Medical Record) data measured at a plurality of medical institutions.

Preferably, the smart terminal may collect a plurality of EMR data in non-real time, and may be provided to convert the collected EMR data into XML format and transmit it to the web server.

Preferably, the web server includes: a database unit for updating the received health data every predetermined period; an analysis unit for confirming a user's medical history based on the health data of the database unit, extracting health data related to the confirmed medical history, and deriving a risk level according to the extracted health data and diagnosis result; and a web browser that converts the health data of the analysis unit into a graphic form and transmits the risk level to the smart terminal or the diagnostic terminal in a color mapped with the risk level.

Preferably, the database unit may include an EMR table for recording the EMR data, PHR data for recording the PHR data, a personal data table for recording personal information, and a relationship table between a user and a diagnostician.

Preferably, the analysis unit may be provided to convert each health data into a graphic form, derive a diagnosis result using a predetermined diagnosis algorithm corresponding to the health data, and derive a risk level according to the diagnosis result, The browser may be provided to map and display the received risk level with a preset color corresponding to the risk level on a map on which the user's location is displayed.

According to the present invention, the health data on the web server is converted into graphic form, the risk level derived based on the health data is mapped on the map where the user's location is displayed, and the smart terminal is displayed on the diagnostic terminal or the smart terminal. It is possible to intuitively check the user's (patient)'s risk state and to quickly execute an emergency replacement for it.

The following drawings attached to this specification illustrate preferred embodiments of the present invention, and serve to further understand the technical spirit of the present invention together with the detailed description of the present invention to be described later, so the present invention is a matter described in such drawings should not be construed as being limited only to
1 is a schematic screen of a personalized health data management system according to an embodiment of the present invention.
2 is a detailed configuration diagram of a web server of a personalized health data management system according to an embodiment of the present invention.
3 is a diagram illustrating PHR data obtained from a wearable device of a personalized health data management system according to an embodiment of the present invention.
4 is a diagram illustrating an update of health data in a database unit of a web server of a personalized health data management system according to an embodiment of the present invention;
5 is an exemplary view showing a table of each health data recorded in the database unit of the web server of the personalized health data management system according to an embodiment of the present invention.
6 is a view showing a screen of a web browser of a personalized health data management system according to an embodiment of the present invention.

Hereinafter, health data referred to in this specification is obtained from EMR (Electronic Medical Record) and wearable devices such as demographic information and clinical information of a patient such as medication, problem list, treatment procedure, patient information, etc., when an individual patient is diagnosed at a hospital Information such as heart rate and lung capacity and PHR (Personal Health Record) data such as body fat, musculoskeletal mass, and weight obtained from the InBody measuring device may be included.

Here, PHR is a tool that provides the function of safely storing and managing all health information for an individual or his or her family during his or her lifetime, and EMR is a tool developed by medical institutions to increase accessibility and manageability of medical records in hospitals. PHR data is a mixture of legal medical records and personal health records, not legal records, and EMR data is legally recognized mandatory data. In this embodiment, health data may be stored in the form of an electronic document, for example, may be a CCR (Continuity of Care Record) document used in a hospital. Here, the CCR (Continuity of Care Record) refers to the dataset most related to administrative, statistical, and medical facts related to patient health, which are handled during more than one patient treatment. CCR record consists of Header, Body and Footer as follows.

The CCR Header defines the parameters of the document. Parameters include document ID, language, version, creation time, etc. CCRBody includes key patient-specific data, such as current and past medication information, problems, and procedures. The CCR Footer includes all actors-defined information, external references, comments, and signatures.

1 to 6 , health data including a plurality of PHR data measured from a wearable device and EMR data obtained from a plurality of medical institutions is processed and transmitted to a web server, and the health data on the server is converted into graphic form The personalized health data management system (S) that maps and displays the risk level derived based on the health data on the map where the user's location is displayed is the wearable device 100, the smart terminal 200, and the web server 300. may include

The wearable device 100 may be provided as a sensor unit including a plurality of sensors by being attached to a part of the user's body to measure the user's PHR data. As shown in FIG. 1 , the wearable device 100 may include temperature, heart rate, exercise amount, and location information of the user. For example, as shown in FIG. 2 , the wearable device 100 positioned on the user's wrist obtains a heart rate (BPM) based on a sensor.

The PHR data supplied from the sensor unit of the wearable device 100 is transmitted to the smart terminal 200 . At this time, the PHR data converts analog posture data into digital form posture data between 0 and 1023 through an Arduino, and the converted digital form PHR data is sent to the smart terminal 200 using a local area network. It may further include a Bluetooth communication module for transmitting, Bluetooth Low Energy (BLE) is an ultra-low-power short-range wireless personal network technology, and can be manufactured as an ultra-low-power and ultra-small module to support Bluetooth 4.0. It has the advantage of being able to provide a location-based service with low power and an application range of 50 m or less. Here, the transmitting device of the low energy Bluetooth beacon performs only an advertising function of loading and transmitting small data of about 31 bytes.

Meanwhile, the smart terminal 200 monitors the wearable device 100 through the built-in wireless network according to the execution of the installed app and the installed app for searching the built-up wireless network.

The smart terminal 200 may include a sensor manager. The sensor manager is provided at a predetermined location of the wearable device 100 and extracts features for a plurality of PHR data of the sensor unit that acquires a plurality of PHR data in real time, and converts the extracted health data into XML format A plurality of PHR data is transmitted to the web server 300 at a predetermined period set for each PHR data. Here, the predetermined period may be changed according to the type of PHR data, and necessary data among a plurality of PHR data may be selected and received. For example, when a user has a cardiovascular disease, the sensor manager selects PHR data of heart rate, location information, and number of steps, and receives the selected PHR data at a predetermined cycle unit. That is, heart rate is received in units of 1/60 Hz, location information is received in units of 1 hour, and steps are received in units of 30 minutes. The PHR data is converted into XML format and transmitted to the web server 300 .

Accordingly, the web server 300 includes a database unit 310 , an analysis unit 320 , and a web browser 330 .

As shown in FIG. 4, the database unit 310 includes a personal data table 311 including age, name, and gender, and an EMR data table 312 including a diagnostic code, medication code, and description. ), a PHR data table 313 including heart rate, blood pressure, and exercise values, and a relationship table 314 including a user code for secure access, a patient ID, and a diagnostician ID.

Accordingly, as shown in FIG. 5 , the database unit 310 converts the PHR data provided from the smart terminal 200 and the EMR data of the medical institution into a predetermined Json format. That is, the health data in the XML format is converted into a health document in the Json format, and the converted health document is stored in the database unit 310 as shown in FIG. 5 with reference to a predetermined XML Schema Definition (XSD).

In addition, the received PHR data and EMR data are stored in the PHR data table 312 and the EMR data table 313 in the PHR data table 312 and the EMR data table 313 corresponding to the pre-stored personal data table 311 and the relationship table 314 in units of predetermined periods in FIGS. 4 and 5 . As shown in , it is updated.

The health data including the PHR data and EMR data stored in the database unit 310 is transmitted to the analysis unit 320 for each predetermined set period.

Accordingly, the analysis unit 320 checks the user's medical history based on the health data of the database unit 310 , extracts health data related to the confirmed medical history, and derives a risk level according to the extracted health data and diagnosis result. In this case, a predetermined diagnosis algorithm according to the health data is used.

For example, in the case of a heart disease patient, the user's gender, age, and heart rate and blood pressure are analyzed using a predetermined diagnostic algorithm, and a range of heart rates at a risk level is set according to the analysis result, and the received heart rate and Based on the heart rate in the equilibrated state, it is determined whether the user is currently exercising or living in a daily life, and the risk level is derived as a result of comparing the determination reference value set according to the determination result and the currently received heart rate.

Referring to FIG. 6 , when a heart rate collected in real time exceeds a determination reference value through a predetermined diagnostic algorithm, a level of risk such as surrounding or warning is determined.

In the embodiment of the present invention, a case in which a user has a cardiovascular disease is described as an example for convenience of explanation. The presence or absence of arrhythmia may be determined using the arrhythmia diagnosis algorithm of the server 300 .

In addition, each risk level is derived based on blood pressure, weight, etc. of health data related to cardiovascular disease, and the risk level is finally derived when an abnormal level signal change occurs by integrating each health data.

Health data including a plurality of PHR data measured from a wearable device and EMR data obtained from a plurality of medical institutions is converted into XML format and then automatically updated at predetermined intervals to integrate and store the health data to provide telemedicine service or It can be used for health care home service, manage the user's health status in real time or non-real time, and can share and check various individual medical conditions with multiple users, so that users can accumulate health data on their web server, In an environment connected to the Internet, you can track your health anytime, anywhere, enabling efficient health management and reducing medical costs.

On the other hand, the derived risk level and each health data are transmitted to the web browser 330, and the web browser 330 converts each collected health data into a graphic form for the smart terminal 200 or the diagnosis terminal (not shown). shown) to

In addition, the risk level derived based on each health data of the analysis unit 320 is transmitted to the smart terminal 200 through the web browser 330 .

Accordingly, on the screen of the smart terminal 200 provided with the health data and the risk level in graphic form, it is displayed in a preset color corresponding to the risk level on the map where the user is located. For example, when the highest risk level, which is an emergency, is a warning, it is displayed on the map where the user is located in red, and in the case where the user is located in the vicinity of the risk level of the hospital visit, it is displayed in yellow on the map where the user is located.

Through the screen of the smart terminal 200 possessed by the user, the current user's medical condition can be easily and intuitively checked by anyone, such as the general public, the user, and the diagnostician, and emergency measures can be taken accordingly.

In a web-based health data management method according to another embodiment of the present invention based on the above-described system, a) a plurality of PHR data is acquired in real time by being mounted at a predetermined location of a wearable device in a smart terminal, and the acquired plurality of PHRs extracting characteristics of the data, converting a plurality of extracted health data into XML format, and transmitting the converted plurality of PHR data to the web server at a cycle set for each PHR data; b) capable of collecting a plurality of EMR data in non-real time, converting the collected EMR data into XML format and transmitting the collected EMR data to the web server; c) updating the health data received in real time or non-real time from the web server every predetermined period; d) confirming the user's medical history based on the health data, extracting health data related to the confirmed medical history, deriving a risk level according to the extracted health data and diagnosis result, and transmitting the extracted health data and diagnosis result to a web browser; and e) converting the health data into graphic form in the web browser and mapping the received risk level with a preset color to correspond to the risk level on a map on which the user's location is displayed and displayed. Each step of the health data management method is a function performed in the aforementioned wearable device 100 , the smart terminal 200 , and the web server 300 , and detailed references are omitted.

The present invention may include a cutting unit, a first transfer and a second transfer, and a combine unit.

The cutting unit may generate a plurality of pieces by dividing the data, and may assign an address to each of the pieces. Here, the addresses of the pieces may be composed of a combination of a plurality of letters and numbers.

Also, the cutting unit may generate a combination rule in consideration of each address. Here, the combination rule refers to a rule that allows a plurality of data pieces to be combined into data before being divided based on each address.

The first transfer may transmit a plurality of data pieces in an arbitrary order. Here, a plurality of data pieces may be transmitted together with an assigned address, respectively.

The second transfer may transmit a combination rule corresponding to the plurality of data pieces transmitted by the first transfer. Here, it may be preferable that the second transfer transmits the combination rule with a time difference with respect to the transmission of the plurality of data pieces by the first transfer.

The functional operations described in this specification and the embodiments related to the present subject matter can be implemented in a digital electronic circuit, computer software, firmware, or hardware, including the structures disclosed herein and structural equivalents thereof, or in a combination of one or more thereof do.

Embodiments of the subject matter described herein are one or more computer program products, ie one or more modules directed to computer program instructions encoded on a tangible program medium for execution by or for controlling the operation of a data processing device. can be implemented. A tangible program medium may be a radio wave signal or a computer-readable medium. A radio wave signal is an artificially generated signal, eg a machine generated electrical, optical or electromagnetic signal, that is generated to encode information for transmission to an appropriate receiver device for execution by a computer. The computer-readable medium may be a machine-readable storage device, a machine-readable storage substrate, a memory device, a combination of materials that affect a machine-readable radio wave signal, or a combination of one or more of these.

A computer program (also known as a program, software, software application, script or code) may be written in any form of programming language, including compiled or interpreted language or a priori or procedural language, and may be written as a stand-alone program or module; It can be deployed in any form, including components, subroutines, or other units suitable for use in a computer environment.

A computer program does not necessarily correspond to a file in a file system. A program may be in a single file provided to the requested program, or in multiple interacting files (eg, files that store one or more modules, subprograms, or portions of code), or portions of files that hold other programs or data. (eg, one or more scripts stored within a markup language document).

A computer program may be deployed to be executed on a single computer or multiple computers located at one site or distributed over a plurality of sites and interconnected by a communication network.

Additionally, the logic flows and structural block diagrams described herein describe corresponding acts and/or specific methods supported by corresponding functions and steps supported by the disclosed structural means, and corresponding software. It can also be used to build structures and algorithms and their equivalents.

The processes and logic flows described herein may be performed by one or more programmable processors executing one or more computer programs to perform functions by operating on input data and generating output.

Processors suitable for the execution of computer programs include, for example, both general and special purpose microprocessors and any one or more processors of any kind of digital computer. Typically, the processor will receive instructions and data from read-only memory, random access memory, or both.

A key component of a computer is one or more memory devices for storing instructions and data and a processor for executing instructions. In addition, a computer is generally operably coupled to receive data from, transfer data to, or both of one or more mass storage devices for storing data, such as, for example, magnetic, magneto-optical disks or optical disks. or will include However, the computer need not have such a device.

The present description sets forth the best mode of the invention, and provides examples to illustrate the invention, and to enable any person skilled in the art to make or use the invention. This written specification does not limit the present invention to the specific terms presented.

Accordingly, although the present invention has been described in detail with reference to the above-described examples, those skilled in the art can make modifications, changes, and modifications to the examples without departing from the scope of the present invention. In short, in order to achieve the intended effect of the present invention, it is not necessary to separately include all the functional blocks shown in the drawings or follow all the orders shown in the drawings. indicate that it may be within the scope

Claims (5)

A web server that manages health data supplied from a smart terminal possessed by the user,
The health data
A plurality of PHR (Personal Health Record) data obtained from a wearable device mounted at a predetermined location on the user's body and a plurality of EMR (Electronic Medical Record) data measured at a plurality of medical institutions; and
Reprocessed data in which the data arrangement is rearranged according to a predetermined rule for security
Web-based health data management system comprising a.
According to claim 1, wherein the smart terminal,
Acquire a plurality of PHR data in real time from a sensor unit mounted at a predetermined position of the wearable device,
A sensor that extracts features for a plurality of PHR data from the acquired sensor unit, converts a plurality of extracted health data into XML format, and delivers the converted plurality of PHR data to the web server at a cycle set for each PHR data A web-based health data management system comprising a management unit.
According to claim 2, wherein the smart terminal,
A web-based health data management system, wherein a plurality of EMR data can be collected in non-real time, and the collected EMR data is converted into XML and transmitted to the web server.
According to claim 3, wherein the web server,
an analysis unit for checking the user's medical history based on the health data of the database unit, extracting health data related to the confirmed medical history, and deriving a risk level according to the extracted health data and diagnosis result; and
and a web browser that converts the health data of the analysis unit into a graphic form and transmits the color mapped to the risk level to the smart terminal or the diagnostic terminal. The method of claim 4, wherein the analysis unit,
Each health data is converted into a graphic form, a diagnosis result is derived using a predetermined diagnosis algorithm corresponding to the health data, and a risk level according to the diagnosis result is derived,
The web browser is a web-based health data management system, wherein the web-based health data management system is provided to map and display the received risk level with a preset color corresponding to the risk level on a map on which the user's location is displayed.

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