KR20210135406A - Remote medical consultation system - Google Patents

Abstract

The present invention relates to a remote medical consultation system, server and program. The remote medical consultation system includes the steps of: generating a medical questionnaire chart including questionnaire items matched to a patient by matching a questionnaire list stored in a database with symptom information of the patient; analyzing measurement data for one or more measurement items received from a patient terminal, and inputting answer data corresponding to inputtable questionnaire items among the questionnaire items by using the measurement data; and providing the medical questionnaire chart on which the input has been completed, to a medical staff client.

Description

Remote medical consultation system

The present invention relates to a telemedicine consultation system.

In general, a patient visits a hospital, receives medical treatment, fills out a questionnaire, or delivers information about symptoms, past history, drug administration, family history, drinking, smoking, physical condition, etc. to make an accurate diagnosis.

These processes correspond to essential procedures for making an accurate diagnosis to a patient, which increases the number of waiting patients in the hospital and also acts as a factor in increasing the congestion of the hospital.

In addition, since these questionnaires are often inferred from the patient's memory, there is a problem in that they cannot be an accurate indicator.

The present invention for solving the above problems can provide a system for providing a medical service necessary for a patient through a remote medical consultation through a terminal such as a smart phone.

The problems to be solved by the present invention are not limited to the problems mentioned above, and other problems not mentioned will be clearly understood by those skilled in the art from the following description.

The remote medical consultation method according to an embodiment of the present invention for solving the above-described problems is a method performed by a server, by matching the questionnaire list stored in the database with the symptom information of the patient, and matching the questionnaire to the patient generating a questionnaire chart including step, and providing a medical questionnaire chart on which the input has been completed to the medical staff client.

In addition, the measurement data is biometric information or activity information of a patient measured from a measurement device or a wearable device, and the measurement device includes a blood glucose meter, a blood pressure meter, a weight meter, InBody, a smart watch, a pedometer, smart shoes, and smart clothing. , including at least one of a smart toothbrush.

In addition, the method further includes analyzing the symptom information and the questionnaire chart to derive notes on the day of treatment or examination of the patient, and providing the notes to the patient terminal.

In addition, the medical treatment reservation and reception server using the terminal according to an embodiment of the present invention for solving the above-described problem, a matching unit that matches the patient's symptom information with the questionnaire list stored in the database, and the questionnaire matched through the matching unit Questionnaire chart generation unit that generates a questionnaire chart including items, analyzes measurement data for one or more measurement items received from the patient terminal, and answers corresponding to the questionnaire items that can be input using the measurement data among the questionnaire items It includes an analysis unit for inputting data, and provides a medical questionnaire chart on which the input is completed to the medical staff client.

In addition to this, another method for implementing the present invention, another system, and a computer-readable recording medium for recording a computer program for executing the method may be further provided.

A medical treatment reservation program using a terminal according to another embodiment of the present invention is combined with a computer, which is hardware, to execute the above-mentioned remote medical consultation method, and is stored in a medium.

According to the present invention as described above, since answer data corresponding to the questionnaire is recorded based on various measurement data of the patient collected by the patient terminal, there is an effect of providing information to the medical staff by creating an objective and accurate questionnaire.

Effects of the present invention are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the following description.

1 is a schematic diagram of a telemedicine consultation method according to an embodiment of the present invention.
2 is a flowchart of a telemedicine consultation method according to an embodiment of the present invention.
3 and 4 are exemplary views illustrating reservation and reception of medical treatment using a terminal according to an embodiment of the present invention.
5 is an exemplary diagram illustrating input or selection of a symptom using a terminal.
6 to 8 are exemplary views illustrating a screen according to an embodiment of the present invention.
9 is a graph illustrating measurement data of a patient's moving speed and heart rate by time.
10 is a block diagram of a medical treatment reservation and reception server using a terminal according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a schematic diagram of a telemedicine consultation method according to an embodiment of the present invention.

A patient uses the patient terminal 500 to access a predetermined application that provides treatment reservation and reception, makes a reservation for treatment, and proceeds with treatment reception.

At this time, although receiving treatment is an essential step to proceed with treatment, reservation for treatment is a patient choice and not an essential procedure. However, since the reception and treatment can be performed more quickly when making a reservation for treatment, the server can recommend a reservation for treatment to the patient.

In this case, the application may be a medical service application provided by the server 100 .

The server 100 receives a symptom input from the patient through the patient terminal 500 , and receives measurement data stored in the patient terminal 500 .

The server 100 generates a medical treatment chart according to the symptoms of the patient, and automatically inputs the medical questionnaire items of the medical treatment chart by using the measurement data received from the patient terminal 500 .

In addition, medical questionnaire items that cannot be input on the system are directly input from the patient, and the inputted medical chart is provided by the server 100 to the medical staff client 700 .

Because of the above processes, the patient has completed the reservation, reception, and questionnaire form at the hospital, so after visiting the hospital, treatment with the medical staff is carried out, additional examinations are carried out, or the treatment procedure is completed when a drug is prescribed. will become

An embodiment of the present invention has been schematically described with reference to FIG. 1 above, and an embodiment of the present invention will be described in detail below with reference to other drawings.

2 is a flowchart of a telemedicine consultation method according to an embodiment of the present invention, and FIGS. 3 to 9 are diagrams illustrating an actual application of the telemedicine consultation method.

An embodiment of the present invention will be described with reference to FIGS. 2 to 9 .

First, the matching unit 120 of the server 100 matches the patient's symptom information with the questionnaire list stored in the database 130 , and the questionnaire chart generation unit 150 of the server 100 matches the patient Create a paperweight chart that includes (Step S510)

In this case, the server 100 may receive information on symptoms selected from the patient through the patient terminal 500 , or may receive a disease name directly from the patient.

When the disease name is directly input, it may be a patient who visits the hospital periodically due to a specific disease, or it may be a case where the patient is aware of his or her own disease.

In more detail, the database 130 of the server 100 stores a questionnaire list including a plurality of questionnaire items, and a corresponding symptom, disease name, etc. is assigned to each questionnaire item data.

Accordingly, the matching unit 120 of the server 100 matches the patient's symptom information with the questionnaire list including a plurality of questionnaire items, selects the corresponding questionnaire items, and generates a questionnaire chart.

It is exemplified that the patient's questionnaire is generated through FIGS. 6 to 8 .

In this case, before step S510 , the reservation unit 110 of the server 100 may further include a treatment reservation step in which a treatment hospital, treatment subject, and doctor are selected from the patient terminal 500 .

This will be described with reference to FIGS. 3 to 5 .

In this case, the reservation unit 110 of the server 100 may receive a selection of a medical treatment hospital, a treatment subject, and a doctor of the corresponding treatment directly from the patient through the patient terminal 500 , and after receiving the symptoms from the patient, the patient's It can also recommend hospitals, departments, and doctors based on location and symptoms.

And, when the reservation unit 110 of the server 100 receives a selection of a hospital through the patient terminal 500, it outputs a list of medical staff (doctors) corresponding to the subject of the hospital to the patient terminal 500, Displays the current number of patients waiting for each doctor and the expected waiting time.

At this time, in the database 130 of the server 100, a ranking for recognition may be set according to specific medical subjects and symptoms. You can also recommend a hospital or a doctor to the patient.

In addition, the reservation unit 110 of the server 100 may display a pop-up message asking whether the patient is revisiting due to the same symptoms when the patient tries to reserve the treatment by storing the patient's medical appointment history and medical questionnaire history. .

For example, if a pop-up message is displayed to the patient, "You were treated at hospital A for gastritis on February 4, 2018, do you want to make a reservation with the same symptoms at the hospital?" Make an appointment with the hospital.

According to an embodiment of the present invention, the above reservation step may be performed when the patient makes a reservation for treatment through the patient terminal 500, and the steps to be described below include the step of the patient visiting the hospital and proceeding with the reception, or It can be done after that.

After step S510, the server 100 analyzes the measurement data for one or more measurement items received from the patient terminal 500, and inputs answer data corresponding to the inputtable questionnaire items among the questionnaire items of the questionnaire chart. (Step S530)

In this case, the measurement data refers to the patient's biometric information or activity information measured by a measurement device or a wearable device paired with the patient terminal 500 .

The patient terminal 500 may receive measured data measured from a measuring device or a wearable device in real time, or may receive it at a predetermined period such as once per hour or once per day. This may vary depending on the type and situation of the device paired with the patient's terminal, and thus is not limited thereto.

In addition, the measuring device may include a blood glucose meter, a blood pressure meter, a weight meter, InBody, a pedometer, etc. capable of measuring the user's (patient) biometric information, and the like, and the wearable device may be attached to or carried on the user's body. The device may include a smart watch, smart shoes, smart clothes, and the like.

In addition, if the patient terminal 500 itself can perform any of the above functions, the patient terminal 500 may directly measure and store data.

The above-described measurement data according to an embodiment of the present invention can be applied to any biometric information or activity information for a corresponding patient if it can be stored in the patient terminal 500, so it is not limited to the items exemplified above.

The analysis unit 140 of the server 100 analyzes the measurement data for one or more measurement items received from the patient terminal 500 as described above. Then, the input unit of the server 100 inputs answer data corresponding to an inputable questionnaire among the questionnaire items of the questionnaire list.

For example, the analysis unit 140 of the server 100 includes a blood sugar questionnaire for the patient's blood sugar change trend during the first period among the questionnaire items in the questionnaire chart, and if there is a blood glucose measurement item in the measurement data, By analyzing the blood glucose measurement data for the first period of the patient, the answer data is inputted into the blood glucose questionnaire.

In this case, the first period may be a period required by the questionnaire item, such as daily, weekly, or monthly.

More specifically, when the blood glucose measurement data for the first period of the patient falls within the normal range, the analysis unit 140 of the server 100 inputs the answer data of “normal” to the blood glucose questionnaire.

Then, when the blood glucose measurement data for the first period of the patient is out of the normal range, the analysis unit 140 of the server 100 inputs the answer data of “hypoglycemia” or “high blood glucose” to the blood glucose questionnaire, and the first You can create a graph of the average blood sugar level and blood sugar trend over the period and attach it to the answer data.

As another example, the analysis unit 140 of the server 100 includes a weight questionnaire that asks for the patient's weight during the first period among the questionnaire items of the questionnaire chart, and when there is a measurement item for weight in the measurement data, the patient Analyze the weight measurement data during the first period and input the answer data into the weight questionnaire.

In more detail, when the analysis unit 140 of the server 100 analyzes the weight measurement data for the first period of the patient and the change in weight falls within a preset range, the answer data of “normal” in the weight questionnaire can be entered.

And, if the maximum and minimum weights during the first period are out of the preset range, you can input the answer data of “abnormal” and create a graph of weight change figures and change trends and attach them to the answer data. have.

As another example, the analysis unit 140 of the server 100 is in the physical activity questionnaire asking about the patient's physical activity during the first period among the questionnaire items of the questionnaire chart, and the measurement data for the patient's step measurement, heart rate, etc. If there is a measurement item, the measurement data on the number of steps and heart rate during the first period of the patient are analyzed and the answer data is inputted into the physical activity questionnaire.

In step S530, the analysis unit 140 of the server 100 analyzes the patient information of the corresponding patient stored in the database 130, and inputs answer data corresponding to the inputtable questionnaire items among the questionnaire items of the questionnaire chart ( Step S533) is further included.

At this time, the patient information is stored in the database 130 of the server 100, and includes the patient's basic information, family history, past history, surgical history, drug taking history, previous medical history, various test values, and the like.

More specifically, the patient information may include health checkup information that the patient receives periodically.

Accordingly, when there is a family history questionnaire among the questionnaire items of the questionnaire chart, the analysis unit 140 of the server 100 analyzes the patient's patient information to input answer data into the family history questionnaire.

In addition, when there is a history questionnaire item among the questionnaire items in the questionnaire chart, the analysis unit 140 of the server 100 analyzes the patient information of the corresponding patient to input answer data to the history questionnaire item.

At this time, since it may be meaningless to input all the patient's past histories, the database 130 of the server 100 stores data on the correlation between medical subjects, symptoms, and disease names, and analyzes the data on such correlations to Select a past history that is judged to be related according to the patient's current symptom and disease name and input it as answer data in the history questionnaire. (For example, an internal medicine appointment and reception, but trauma such as an arm fracture is not related.)

In addition, when there is a drug questionnaire among the questionnaire items of the questionnaire chart, the analysis unit 140 of the server 100 analyzes the patient information of the corresponding patient to input answer data into the medical questionnaire.

In this case, the correlation may be intervened in the same way as in the past history questionnaire.

In addition, the analysis unit 140 of the server 100 may input only information about the drug currently being taken as answer data according to the patient's symptoms.

In step S530, the analysis unit 140 of the server 100 analyzes the patient's SNS activity information collected from one or more SNS accounts linked with the patient terminal 500, The method further includes inputting corresponding answer data. (Step S535)

In more detail, the analysis unit 140 of the server 100 analyzes the patient's SNS posts collected from one or more SNS accounts linked with the patient terminal 500 to calculate a life pattern score.

And, if the patient agrees to the SNS account linkage through the medical service application according to the embodiment of the present invention, the analysis unit 140 of the server 100 uploads photos, videos, posts, It means calculating the life pattern score by analyzing information such as the place where the post is posted.

More specifically, if the analysis result contains a factor impairing the patient's health, the life pattern score is subtracted from the reference score according to the level of the analysis result, and if the analysis result contains a factor helpful to the patient's health, Depending on the level of the analysis result, the life pattern score is added to the reference score.

In this case, the factors impairing the patient's health include factors that are generally determined to impair a person's physical/mental health, such as alcohol, tobacco, late-night meals, and overtime work.

In addition, factors that are helpful to the patient's health include factors that are generally determined to be helpful to a person's physical/mental health, such as walking, exercise, healthy eating, and travel.

And, the reference score means a score in the raw state, which means when no activity is detected.

In one embodiment, the analysis unit 140 of the server 100, when there is a life pattern questionnaire for asking about the patient's life pattern during the first period among the questionnaire items of the questionnaire chart, the patient during the first period of the patient Life pattern score is calculated by analyzing SNS account of , and the calculated score is input as answer data.

In addition, the analysis unit 140 of the server 100 analyzes the SNS account of the patient when there is a questionnaire about drinking or smoking among the questionnaire items of the questionnaire chart, and if it is determined that there is a drinking or smoking history, drinking or smoking Please check the smoking questionnaire.

After step S530, the server 100 provides the medical staff client 700 with the medical questionnaire that has been entered through the above steps. (Step S550)

Accordingly, the medical staff client 700 can receive the medical questionnaire from the server 100 and check the patient.

At this time, since there may be questionnaire items that cannot be input through the computer system, the method may further include the step of receiving and storing answer data for each questionnaire item received from the patient from the patient terminal 500 .

In addition, following step S550 , the method further includes analyzing the patient's symptom information and the questionnaire chart to derive notes on the day of treatment or examination of the patient, and providing the notes to the patient terminal 500 .

This means that, as a result of analyzing the patient's symptom information and questionnaire chart, if it is determined that a specific test needs to be performed on the day of the treatment, it means that the patient draws out and informs the patient on the day of the treatment for the test.

For example, if you need to perform a gastroscopy on the day of treatment/examination, you can provide a warning that you must fast for 8 hours before the treatment time.

Below, the input of answer data to the physical activity questionnaire using the measured data will be described in more detail.

The server 100 may receive measurement data for one or more of the patient's hourly body temperature, heart rate, movement distance, and movement speed from the patient terminal 500 .

And, when the heart rate of the patient and one or more other factors increase at the same time, the analysis unit 140 of the server 100 determines that the patient is exercising at the time and calculates a physical activity score.

At this time, if the heart rate is higher than a certain standard, it is determined that the patient has performed high-intensity exercise.

In addition, the number of steps taken by the patient is calculated by adding up the daily moving distances, but the distance traveled by the moving speed greater than the preset speed is determined to be on the transportation means and excluded from the step count calculation.

In addition, the analysis unit 140 of the server 100 may derive the daily activity amount of the patient through the calculated daily number of steps and information on the exercise time.

This is illustrated in FIG. 9 . 9 is a graph illustrating measurement data of a patient's moving speed and heart rate by time.

Referring to FIG. 9 , in section A, since the moving speed is 4 to 6 km/h and the heart rate is less than 80, it is determined that the patient is walking and the number of steps can be calculated.

And, since the moving speed is 60-100 km/h and the heart rate is less than 60 in section B, it is determined that the patient is on the transportation means and the number of steps is not calculated.

In section C, the moving speed is 4-6 km/h and the heart rate is within 80, so it is determined that the patient is walking and the number of steps is calculated. In section D, the moving speed is within 15 km/h, and the heart rate is Since it is within 90 to 115, it is determined that the patient is exercising and it can be calculated as the amount of exercise.

In addition, the analysis unit 140 of the server 100 may analyze the measurement data for one or more measurement items received from the patient terminal 500 to calculate the expected daily calorie consumption of the patient. In detail, the analysis unit 140 of the server 100 analyzes the measurement data received from the patient terminal 500 to calculate the daily step count and exercise time of the patient, and through this, the patient's expected daily consumption You can count calories.

In another embodiment, the measurement data may include in-body measurement data.

Then, the analysis unit 140 of the server 100 analyzes the in-body measurement data received from the patient terminal 500 to calculate a body score, and input the calculated body score to the questionnaire chart.

In more detail, information on the patient's height and weight included in the InBody measurement data is entered into the patient's body information of the questionnaire, and specific factors are analyzed by analyzing the patient's body fat mass, obesity level, abdominal obesity level, body balance, etc. If is out of the standard range, input the answer data indicating that there is a problem in the relevant element.

In another embodiment, the measurement data may include sleep pattern data. In this case, the sleep pattern data may be collected through an application installed in the patient terminal 500 or may be received from a wearable device worn on the patient's body, such as a smart watch.

If there is a sleep pattern questionnaire among the questionnaire items of the patient's questionnaire, the analysis unit 140 of the server 100 analyzes the sleep pattern data to input answer data.

For example, as a result of analyzing the sleep pattern, the analysis unit 140 of the server 100 inputs a reply message indicating that the sleep pattern is normal when it is determined that the patient is sleeping regularly.

Conversely, if it is determined that the patient is sleeping irregularly, a response message indicating that the sleep pattern is abnormal is input.

In this case, the criteria for determining the rules and irregularities of the sleep pattern may be determined through data on the average sleep time required for each age group and whether the patient falls asleep and wakes up at a constant time.

In another embodiment, the server 100 may receive the patient's meal image collected from the patient terminal (500).

For example, the server 100 may provide a notification message to the patient terminal 500 to photograph and upload a meal image every meal time.

Then, the analysis unit 140 of the server 100 analyzes the patient's meal image collected during the first period and the time when the meal image is uploaded to analyze the patient's meal pattern.

In more detail, the analysis unit 140 of the server 100 calculates the statistics of the time when the meal image is uploaded to generate and input answer data whether the patient is eating regularly.

Also, the analysis unit 140 of the server 100 may analyze a meal image to infer a dish included in the corresponding meal image, and calculate an estimated calorie based thereon. Then, through the calculated estimated calories, the patient is to generate and input answer data on whether the patient eats news or overeating.

At this time, the basis for determining news or overeating may be determined based on the average intake of calories for each age group. Based on the basal metabolic rate, it is also possible to judge whether there is news or overeating.

In addition, the analysis unit 140 of the server 100 analyzes the meal image to infer the dish included in the meal image, and matches whether the dish contains spicy or salty food to match the patient's eating habits. You can create and input response data.

In this case, the database 130 of the server 100 stores a list of spicy food, salty food, and the like, so that they can be matched.

In another embodiment, the server 100 may receive measurement data on whether or not the patient brushes teeth from a smart toothbrush, an electric toothbrush, or the like.

The analysis unit 140 of the server 100 may generate and input response data for the brushing cycle to the patient in the questionnaire chart by analyzing the above measurement data when the patient makes a reservation and receives a dental treatment.

In this way, since the questionnaire may vary depending on the patient's symptoms and the clinical subject of the hospital reserved and received by the patient, the analysis unit 140 of the server 100 analyzes the measurement data received from the patient terminal 500, Among the questionnaire items, answer data corresponding to the questionnaire items that can be input through measurement data can be input.

In another embodiment, the analysis unit 140 of the server 100 is a patient who re-visits with the same symptoms within a certain period of time when the patient who has reserved and received the treatment is a patient who visits the patient's last medical examination chart and the current medical examination chart. The method may further include comparing each questionnaire item of , deriving a change point and inputting it into the questionnaire chart.

Through this, the medical staff client 700 exhibits the effect of being able to confirm at a glance points that are different (eg, improved points, deteriorated points, etc.) from the last treatment of the patient.

In addition, after the patient performs the treatment, the server 100 may provide the aftercare service by analyzing the patient's treatment result and treatment chart, and providing various information to the patient terminal 500 .

10 is a block diagram of a medical treatment reservation and reception server using a terminal according to an embodiment of the present invention.

Referring to FIG. 10 , the matching unit 120 matches the patient's symptom information with the questionnaire list stored in the database 130 .

The paperweight chart generating unit 150 generates a paperweight chart including the matched paperweight items through the matching unit 120 .

The analysis unit 140 analyzes the measurement data for one or more measurement items received from the patient terminal, and inputs answer data corresponding to the inputtable questionnaire items by using the measurement data among the questionnaire items.

In addition, the server provides the medical examination chart on which the input has been completed to the medical staff client.

In addition, the server 100 according to the embodiment of the present invention includes the configuration of the reservation unit 110 , the database 130 , and the like, and the description thereof is described above with reference to FIGS. 1 to 9 through the telemedicine consultation method and invention. Since only the categories of are different, redundant descriptions will be 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 (4)

matching the questionnaire list stored in the database with the symptom information of the patient, and generating a questionnaire chart including questionnaire items matched to the patient;
analyzing the measurement data for one or more measurement items received from the patient terminal, and inputting answer data corresponding to the inputtable questionnaire items using the measurement data among the questionnaire items;
reconfiguring the answer data and rearranging it according to a predetermined rule for security; and
A telemedicine consultation method comprising the step of providing a medical questionnaire to the medical staff client on which the input has been completed.
According to claim 1,
The measured data is
The patient's biometric information or activity information measured from a measurement device or a wearable device,
The measuring device is
A remote medical consultation method comprising at least one of a blood glucose meter, a blood pressure meter, a weight meter, InBody, a smart watch, a pedometer, smart shoes, smart clothes, and a smart toothbrush.
According to claim 1,
The answer data input step is,
The method further comprising the step of analyzing the patient information of the corresponding patient stored in the server, and inputting answer data corresponding to an inputable questionnaire among the questionnaire items, the remote medical consultation method.
According to claim 1,
The method further comprising the step of analyzing the symptom information and the questionnaire chart to derive notes on the day of treatment or examination of the patient, and providing the notes to the patient terminal.

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