KR102028674B1 - A method, server and program for reserving medical treatment with terminal - Google Patents

Abstract

The present invention relates to a medical appointment and reception method using a terminal, a server thereof, and a program thereof. According to the present invention, the method comprises the steps of: matching a questionnaire list stored in a database with symptom information of a patient and generating a questionnaire chart including questionnaire items matched to the patient; analyzing measurement data for one or more measurement items received from a patient terminal and inputting answer data corresponding to questionnaire items capable of being input using the measurement data among the questionnaire items; and providing a medical staff client with the input-completed questionnaire chart.

Description

Appointment, reception method, server and program using terminal {A METHOD, SERVER AND PROGRAM FOR RESERVING MEDICAL TREATMENT WITH TERMINAL}

It relates to a medical appointment, a reception method, a server and a program using a terminal.

In general, the patient visits the hospital to receive medical treatment and fill out a questionnaire, or communicate information about symptoms, past history, drug administration, family history, drinking, smoking, and physical condition through direct questionnaire. Will give an accurate diagnosis.

These processes are an essential procedure for making accurate diagnoses to patients, which increases the number of waiting patients in hospitals and the congestion of hospitals.

In addition, these questionnaires are often inferred from the memory of the patient, and thus have problems of not being accurate indices.

Republic of Korea Patent Publication No. 10-2011-0132098 (published Dec. 7, 2011)

The present invention for solving the problems as described above generates a questionnaire chart according to the symptoms of the patient in the process of booking, receiving the treatment through a terminal such as a smart phone, the questionnaire of the questionnaire chart through the collected measurement data of the patient A medical appointment and a reception method using a terminal for inputting an item may be provided.

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

According to an embodiment of the present invention for solving the above-mentioned problems, a medical treatment reservation and reception method using a terminal is performed by a server, and matches a questionnaire list stored in a database with symptom information of a patient to a corresponding patient. Generating a questionnaire chart including matched questionnaire items, analyzing measurement data for one or more measurement items received from the patient terminal, and answering a questionnaire item that can be input using the measured data among the questionnaire items. Inputting data, and providing the medical staff client with the inputted questionnaire chart.

In addition, the measurement data is biometric information or activity information of the patient measured from the measuring device or wearable device, the measuring device, blood glucose meter, blood pressure meter, weight measuring device, in-body, smart watch, pedometer, smart shoes, smart clothes At least one of a smart toothbrush.

The answer data input step may include analyzing the SNS activity information of the patient collected from at least one SNS account linked to the patient terminal, and inputting answer data corresponding to an input questionnaire item among the questionnaire items. do.

The answer data input step may further include inputting answer data corresponding to questionable question items among the question items by analyzing patient information of the corresponding patient stored in the server.

The method may further include analyzing the symptom information and the questionnaire chart, deriving a notice on the day of the patient's examination or examination, and providing the notice to the patient terminal.

In addition, a medical treatment reservation and reception server using a terminal according to an embodiment of the present invention for solving the above-mentioned problems, a matching unit for matching the questionnaire information stored in the database with the symptom information of the patient, the matching paperweight through the matching unit A questionnaire chart generating unit for generating a questionnaire chart including items, analyzing measurement data on one or more measurement items received from the patient terminal, and answering a questionnaire item that can be input using the measurement data among the questionnaire items. It includes an analysis unit for inputting the data, and provides the medical staff chart with the input is completed.

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.

The medical appointment program using a terminal according to another embodiment of the present invention is coupled to a computer which is hardware to execute the medical appointment and reception method using the above-mentioned terminal and is stored in a medium.

According to the present invention as described above, since the answer data corresponding to the questionnaire items are recorded based on the 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.

In addition, since the patient prepares and inputs a questionnaire chart and provides the medical staff in the process of reserving and accepting the medical treatment through the terminal, congestion in the hospital and the number of waiting patients can be reduced.

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 medical appointment and reception method using a terminal according to an embodiment of the present invention.
2 is a flowchart of a medical appointment and reception method using a terminal according to an exemplary embodiment of the present invention.
3 and 4 are exemplary views illustrating the appointment and reception of medical care using a terminal according to an exemplary embodiment of the present invention.
5 is an exemplary diagram illustrating input or selection of symptoms using a terminal.
6 to 8 are exemplary views illustrating a questionnaire item of a questionnaire chart generated according to a symptom of a patient according to an embodiment of the present invention.
FIG. 9 is a graph illustrating measurement data of a patient's movement speed and heart rate according to time.
10 is a block diagram of a medical appointment and reception server using a terminal according to an embodiment of the present invention.

Advantages and features of the present invention and methods for achieving them will be apparent with reference to the embodiments described below in detail with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but can be embodied in various different forms, and the present embodiments only make the disclosure of the present invention complete, and those of ordinary skill in the art to which the present invention belongs. It is provided to fully inform the skilled worker of the scope of the invention, which is defined only by the scope of the claims.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. In this specification, the singular also includes the plural unless specifically stated otherwise in the phrase. As used herein, "comprises" and / or "comprising" does not exclude the presence or addition of one or more other components in addition to the mentioned components. Like reference numerals refer to like elements throughout, and "and / or" includes each and all combinations of one or more of the mentioned components. Although "first", "second", etc. are used to describe various components, these components are of course not limited by these terms. These terms are only used to distinguish one component from another. Therefore, of course, the first component mentioned below may be a second component within the technical spirit of the present invention.

Unless otherwise defined, all terms used in the present specification (including technical and scientific terms) may be used in a sense that can be commonly understood by those skilled in the art. In addition, terms that are defined in a commonly used dictionary are not ideally or excessively interpreted unless they are specifically defined clearly.

In general, a patient visits a hospital to fill out a questionnaire or communicate with a medical staff to discuss symptoms, and to discuss family history, past history, drug administration, drinking, smoking, activity, mood, physical condition, etc. Communicate information

And the medical staff will make an accurate diagnosis while proceeding directly with the information obtained through the questionnaire.

These processes are essential procedures for treating patients, which increases the number of waiting patients in the hospital and increases the congestion in the hospital.

In addition, these questionnaires are often inferred from the memory of the patient, and thus are not accurate indicators.

Therefore, by analyzing the patient's information, the data measured by the patient through a system such as a computer or a server, and implementing a questionnaire item input system through the analysis result, proceed to efficient medical work, and more The present invention has been made in order to provide a medical chart which is helpful to medical personnel by inputting accurate and objective answer data.

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

Prior to the description, the meaning of terms used in the present specification will be briefly described. However, it is to be noted that the description of the terms is intended to help the understanding of the present specification, and thus, the terms are not used to limit the technical spirit of the present invention unless explicitly stated as limiting the present invention.

Medical staff: Referral personnel, such as doctors who work with employers and nurses who work with them. In an embodiment of the present invention, the medical staff client 700 may be a computer, a terminal, a program, or the like of the medical staff.

Questionnaire chart: The questionnaire was created to be entered online and through a computer system, and it was conducted to check the patient's family history, past history, lifestyle, emotional state, physical activity, etc. for medical staff to use for diagnosis. I mean.

Appointment Appointment: Appointment of appointments to a hospital using a terminal, which is a step before proceeding with the reception. In order to proceed with the actual medical treatment, the patient must schedule a medical treatment at a specific time and then visit the hospital at that time to receive the application.

1 is a schematic diagram of a medical appointment and reception method using a terminal according to an embodiment of the present invention.

The patient uses the patient terminal 500 to access a predetermined application that provides medical appointments and receptions, schedules medical treatments, and proceeds with medical treatment.

At this time, treatment reception is an essential step in proceeding with the treatment, but appointment of the treatment is the patient's choice and not an essential procedure. However, when the appointment is proceeded, since the reception, the treatment, etc. can be proceeded more quickly, the server may recommend the appointment to the patient.

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

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

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

In addition, the questionnaire item that cannot be input on the system receives the input directly from the patient, and the server 100 provides the medical chart to the medical staff client 700 after the input is completed.

Because of the above procedures, the patient has completed the appointment, reception and questionnaire completed at the hospital, so the procedure is completed when the doctor visits the hospital, proceeds with the medical staff, proceeds to further examinations, or receives the prescription. Will be.

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

2 is a flowchart illustrating a medical appointment and a reception method using a terminal according to an exemplary embodiment of the present invention, and FIGS. 3 to 9 are diagrams illustrating the actual application of a medical appointment and a reception method using a terminal.

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 questionnaire list stored in the database 130 with the symptom information of the patient, and the questionnaire item in which the questionnaire chart generation unit 150 of the server 100 matches the corresponding patient. Create a paperweight chart that includes them. (Step S510)

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

In case of directly inputting the name of the disease, the patient may visit the hospital periodically due to a specific disease, or the patient may be aware of his or her own disease.

More specifically, a questionnaire list including a plurality of questionnaire items is stored in the database 130 of the server 100, and the corresponding symptom and disease name are assigned to each questionnaire item data.

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

6 to 8 illustrate that the patient's questionnaire chart is generated.

At this time, the reservation unit 110 of the server 100 before the step S510 may further include a medical treatment reservation step for selecting the treatment hospital, treatment subjects and doctors from the patient terminal 500.

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

At this time, the reservation unit 110 of the server 100 may be directly selected by the patient through the patient terminal 500, the hospital, the subject of treatment, the doctor of the subject of treatment, or after receiving the symptoms from the patient of the patient Your location and symptoms may also recommend hospitals, subjects, and doctors.

When the reservation unit 110 of the server 100 receives a hospital selection through the patient terminal 500, the reservation unit 110 outputs a list of medical staffs (doctors) corresponding to the corresponding treatment subject of the corresponding hospital to the patient terminal 500. Indicate the current waiting number and estimated waiting time for each doctor.

At this time, the database 130 of the server 100 may be set in the ranking for the recognition according to the specific treatment subjects, symptoms, and if the patient prioritizes the recognition of the hospital / doctor over the distance, the recognition as an important indicator You can also recommend a hospital or doctor to your patients.

In addition, the reservation unit 110 of the server 100 may display a pop-up message asking whether the patient is re-visit due to the same symptom when the patient attempts to reserve the medical care by storing the patient's medical appointment details and the questionnaire chart. .

For example, if the patient displays a pop-up message that says, “If you went to hospital A for gastritis on February 4, 2018, and you want to make an appointment with the same symptom at the hospital,” and you receive consent from the patient, Make an appointment to see your doctor.

According to an embodiment of the present invention, the above reservation step may be performed when the patient schedules the medical treatment through the patient terminal 500, and the steps to be described below may be performed by the patient visiting the hospital and proceeding with the reception. Thereafter it may be performed.

Next, in step S510, the server 100 analyzes measurement data about one or more measurement items received from the patient terminal 500, and inputs response data corresponding to an input questionnaire item among questionnaire items of the questionnaire chart. (Step S530)

In this case, the measurement data means biometric information or activity information of the patient measured from the measuring device or wearable device paired with the patient terminal 500.

The patient terminal 500 may receive the measurement data measured from the measuring device or the wearable device in real time, or may receive the data at regular intervals, such as once per hour or once per day. This may be different depending on the type and situation of the device paired with the terminal of the patient, but is not limited thereto.

In addition, the measuring apparatus may include a blood glucose meter, a blood pressure meter, a weight meter, an inbody, a pedometer, and the like, which may measure biometric information of a user (patient), and the wearable device may be attached or carried on the user's body. The device may include a smart watch, smart shoes, smart clothing, and the like.

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

The measurement data according to the embodiment of the present invention as described above is applicable to anything that can be stored in the patient terminal 500 by measuring biometric information or activity information for the patient, it is not limited to the above-exemplified matters.

The analysis unit 140 of the server 100 analyzes 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 the answer data corresponding to the questionable items that can be input among the questionnaire items of the questionnaire list.

For example, if the analysis unit 140 of the server 100 has a blood sugar questionnaire for the blood sugar change trend of the patient during the first period of the questionnaire chart, and there is a measurement item for blood glucose in the measurement data, The blood glucose measurement data for the first period of the patient is analyzed to input answer data into the blood sugar questionnaire.

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

More specifically, the analysis unit 140 of the server 100 inputs the response data of "normal" in the blood glucose questionnaire item, if the blood glucose measurement data for the patient's first period is in the normal range.

When the blood glucose measurement data for the first period of the patient deviates from the normal range, the analysis unit 140 of the server 100 inputs the answer data such as "hypoglycemia" or "hyperglycemia" into the blood glucose questionnaire item, and the first Average blood glucose levels over time, graphs of blood sugar trends, etc. can be generated and attached to the answer data.

As another example, the analysis unit 140 of the server 100 has a weight questionnaire item that asks the weight of the patient during the first period of the questionnaire chart questionnaire, and if there is a measurement item for the weight in the measurement data, the patient Analyze the weight measurement data during the first period of to enter the answer data in the weight questionnaire item.

More specifically, the analysis unit 140 of the server 100, when the result of the analysis of the weight measurement data for the first period of the patient, when the weight change is within the preset range, the answer data that is "normal" to the weight questionnaire item Can be entered.

If the maximum weight and the minimum weight for the first period are outside the preset ranges, the answer data may be inputted as "abnormal", and the weight change figures and the graphs of the change trends may be generated and attached to the answer data. have.

As another example, the analysis unit 140 of the server 100 is in the physical activity questionnaire question about the physical activity of the patient during the first period of the questionnaire chart questionnaire, and the measurement of the patient's steps, 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 is analyzed to input response data into the physical activity questionnaire item.

In step S530, the analysis unit 140 of the server 100 analyzes patient information of the corresponding patient stored in the database 130 and inputs response data corresponding to an inputable questionnaire item among questionnaire items of the questionnaire chart ( S533 step) 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, medication history, previous medical history, various test values, and the like.

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

Therefore, if 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 information of the corresponding patient and inputs answer data in the family history questionnaire item.

In addition, if there is a history questionnaire item among the questionnaire items of the questionnaire chart, the analysis unit 140 of the server 100 analyzes the patient information of the corresponding patient and inputs the response data in the history questionnaire item.

At this time, since it may be meaningless to input all the past history of the patient, in the database 130 of the server 100 is stored data about the association between the subject of treatment, symptoms, disease name, by analyzing the data about such association According to the current symptom and disease name of the patient, the past history, which is considered to be related, is selected and entered as answer data in the history questionnaire item. (For example, a trauma, such as a broken arm, is not relevant for scheduling and receiving medical care.)

In addition, if there is a drug questionnaire item among the questionnaire items of the questionnaire chart, the analysis unit 140 of the server 100 analyzes patient information of the corresponding patient and inputs answer data in the drug questionnaire item.

In this case, the same association may be involved as in the history questionnaire.

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

In step S530, the analysis unit 140 of the server 100 analyzes the SNS activity information of the patient collected from one or more SNS accounts linked to the patient terminal 500, the questionnaire items that can be input among the questionnaire items of the questionnaire chart. The method may further include inputting corresponding answer data. (Step S535)

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

In this case, SNS (Social Network Service) is Instagram, Facebook (Facebook), Twitter (Twitter), Kakao Story (Kakao Story), Naver Blog (Naver Blog), etc. It means a service to upload videos and posts.

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

In more detail, if the analysis result includes a factor that impairs the patient's health, and if the life pattern score is negative from the reference score according to the level of the analysis result, and if the factor that helps the patient's health, Depending on the level of analysis results, life pattern scores are added to the baseline scores.

At this time, the factors that hinder the health of the patient includes elements, such as alcohol, tobacco, late night meal, night shift, etc., which are generally judged to impair the human body / mental health.

In addition, factors conducive to the health of the patient include elements that are generally considered to be beneficial to a person's physical / mental health, such as walking, exercise, healthy food, and travel.

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

In one embodiment, the analysis unit 140 of the server 100, if there is a lifestyle pattern questionnaire questioning about the patient's life pattern during the first period of the questionnaire chart, the patient for the first period of the patient Analyze the SNS account of the life pattern score is calculated, and input the calculated score as the answer data.

In addition, the analysis unit 140 of the server 100, if there is a questionnaire for drinking or smoking among the questionnaire items of the questionnaire chart, if it is determined that the drinking or smoking history exists by analyzing the SNS account of the patient, Check the smoking questionnaire.

In operation S530, the server 100 may provide the medical staff client 700 with the inputted medical questionnaire chart through the above steps. (Step S550)

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

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

In addition, step S550, by analyzing the symptom information and the questionnaire chart of the patient to derive the note on the day of treatment or examination of the patient, and further comprising the step of providing the note to the patient terminal (500).

This means that when analyzing the symptom information and the questionnaire chart of the patient, it is determined that a specific test is to be performed on the day of treatment, the patient derives and informs the matter to be noted on the day of the treatment for the test.

For example, if you need to have an endoscopy on the day of your appointment, you may be advised to fast eight hours before your appointment.

In the following, the input of the answer data to the physical activity questionnaire item using the measurement data will be described in more detail.

The server 100 may receive measurement data about one or more of a patient's time, body temperature, heart rate, moving distance, and moving speed from the patient terminal 500.

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

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

In addition, by calculating the number of steps of the patient by summing the daily movement distance, it is determined that the movement distance that the movement speed is more than the predetermined speed is aboard the vehicle, and exclude from the calculation of the number of steps.

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

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

Referring to FIG. 9, since section A has a moving speed of 4 to 6 km / h and a heart rate of 80 or less, it may be determined that the patient is walking and calculate the number of steps.

In addition, since section B has a moving speed of 60 to 100 km / h and a heart rate of 60 or less, it is determined that the patient is aboard the vehicle and does not calculate the number of steps.

And, in section C, since the moving speed is 4-6 km / h and the heart rate is within 80, the patient is determined to be walking and calculates the number of steps. 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, it can be calculated as the amount of exercise.

In addition, the analysis unit 140 of the server 100 may calculate measured daily calories of the patient by analyzing the measurement data for one or more measurement items received from the patient terminal 500. In detail, the analysis unit 140 of the server 100 analyzes the measurement data received from the patient terminal 500 to calculate the information about the daily step number and the exercise time of the patient, and through this, the estimated daily consumption of the patient. Can calculate calories.

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

The analysis unit 140 of the server 100 analyzes the in-body measurement data received from the patient terminal 500, calculates a body score, and inputs the calculated body score into the questionnaire chart.

More specifically, the information on the height and weight of the patient included in the in-body measurement data is input to the patient body information of the questionnaire chart, and the patient's body fat amount, obesity value, abdominal obesity value, and body balance are analyzed. If is out of the standard range, enter the answer data that there is a problem with the 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 a patient's body, such as a smart watch.

When there is a sleep pattern questionnaire item among the questionnaire items of the patient's questionnaire chart, the analysis unit 140 of the server 100 analyzes the sleep pattern data and inputs answer data.

For example, as a result of analyzing the sleep pattern, the analysis unit 140 of the server 100 inputs an answer message that the sleep pattern is normal when it is determined that the patient is taking regular sleep.

Conversely, if it is determined that the patient is taking irregular sleep, a message indicating that the sleep pattern is abnormal is input.

In this case, the criterion for determining the rule and irregularity of the sleep pattern may be determined based on the data for the average sleep time required for each age group and whether the patient wakes up and wakes up regularly.

In another embodiment, the server 100 may receive a meal image of a patient 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 at each meal time.

In addition, the analysis unit 140 of the server 100 analyzes the meal image of the patient collected during the first period and the time at which the meal image is uploaded to analyze the meal pattern of the patient.

More specifically, the analysis unit 140 of the server 100 calculates the statistics of the time at which the meal image is uploaded, and generates and inputs answer data indicating whether the patient is eating regularly.

In addition, the analysis unit 140 of the server 100 may analyze the meal image to infer a dish included in the meal image, and calculate an estimated calorie based on this. And, through the calculated estimated calories to generate and input the response data about whether the patient is news or overeating.

At this time, the basis for determining the news or overeating may be determined based on the average intake calories by age group, or if the in-body measurement data is included in the measurement data received from the patient terminal 500, the patient's calculated through this Based on the basic metabolic rate, it may be determined whether the news or overeating.

In addition, the analysis unit 140 of the server 100 analyzes the meal image, infers a dish included in the meal image, and matches whether the dish includes spicy or salty food to the eating habits of the patient. Answer data can be generated and entered.

In this case, the database 130 of the server 100 may store and match a list of spicy foods, salty foods, and the like.

In another embodiment, the server 100 may receive measurement data on whether the patient is brushing teeth from a smart toothbrush, an electric toothbrush, or the like.

The analysis unit 140 of the server 100 may generate and input the response data for the brushing cycle to the patient in the questionnaire chart by analyzing the measurement data as described above when the patient schedules and receives the treatment at the dentist.

As such, the questionnaire table may vary according to the treatment subject of the hospital and the patient's symptom that the patient reserves and receives, and thus, the analyzing 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 item that can be input through the measurement data may be input.

In another embodiment, the analysis unit 140 of the server 100 is a patient who is re-visiting with the same symptom within a predetermined period of time, the patient who schedules and receives the medical examination, the questionnaire chart and the current questionnaire chart at the last medical treatment of the patient Comparing the items of the questionnaire, the method may further include a step of deriving a change point and inputting the questionnaire chart.

Through this, the medical staff client 700 has an effect that can be confirmed at a glance about the point of change (eg, improved, deteriorated, etc.) from the last medical care of the patient.

In addition, after the patient proceeds to the treatment, the server 100 may provide after-sales service by analyzing the treatment result and treatment chart of the patient and providing various information to the patient terminal 500.

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

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

The questionnaire chart generator 150 generates a questionnaire chart including the questionnaire items matched by 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 the response data corresponding to the question items that can be input using the measurement data among the questionnaire items.

Then, the server provides the medical staff client with the completed questionnaire chart.

In addition, the server 100 according to an embodiment of the present invention includes the configuration of the reservation unit 110, the database 130, and the like, the description thereof is a medical appointment using the terminal described with reference to Figures 1 to 9 above, Since only the reception method and the category of the invention are different, redundant descriptions will be omitted.

In the above description, the medical treatment reservation and reception method using the terminal according to the exemplary embodiment of the present invention may be implemented as a program (or an application) to be executed in combination with a server which is hardware and stored in a medium.

The above-described program includes C, C ++, JAVA, machine language, etc. which can be read by the computer's processor (CPU) through the computer's device interface so that the computer reads the program and executes the methods implemented as the program. Code may be coded in the computer language of. Such code may include functional code associated with a function or the like that defines the necessary functions for executing the methods, and includes control procedures related to execution procedures necessary for the computer's processor to execute the functions according to a predetermined procedure. can do. In addition, the code may further include memory reference code for additional information or media required for the computer's processor to execute the functions at which location (address address) of the computer's internal or external memory should be referenced. have. Also, if the processor of the computer needs to communicate with any other computer or server remotely in order to execute the functions, the code may be used to communicate with any other computer or server remotely using the communication module of the computer. It may further include a communication related code for whether to communicate, what information or media should be transmitted and received during communication.

The stored medium is not a medium for storing data for a short time such as a register, a cache, a memory, but semi-permanently, and means a medium that can be read by the device. Specifically, examples of the storage medium include, but are not limited to, a ROM, a RAM, a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like. That is, the program may be stored in various recording media on various servers to which the computer can access or various recording media on the computer of the user. The media may also be distributed over network coupled computer systems so that the computer readable code is stored in a distributed fashion.

The steps of a method or algorithm described in connection with an embodiment of the present invention may be implemented directly in hardware, in a software module executed by hardware, or by a combination thereof. Software modules may include random access memory (RAM), read only memory (ROM), erasable programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, hard disk, removable disk, CD-ROM, or It may reside in any form of computer readable recording medium well known in the art.

In the above, embodiments of the present invention have been described with reference to the accompanying drawings, but those skilled in the art to which the present invention pertains may implement the present invention in other specific forms without changing the technical spirit or essential features. I can understand that. Therefore, it should be understood that the embodiments described above are exemplary in all respects and not restrictive.

100: server 110: reservation unit
120: matching unit 130: database
140: analysis unit 150: paperweight chart generation unit
500: patient terminal 700: medical staff client

Claims (7)

In the way performed by the server,
Generating a questionnaire chart including questionnaire items matched to the patient by matching the questionnaire list stored in the database with symptom information of the patient;
Analyzing measurement data on one or more measurement items received from a patient terminal, and inputting answer data corresponding to an input questionnaire item using the measurement data among the questionnaire items;
Providing a medical staff client with the inputted questionnaire chart; And
If the patient who received the medical care visited the patient with the same symptom within a certain period of time, in the previous medical care of the patient, comparing the questionnaire chart and the questionnaire items of the current questionnaire chart, deriving a change point and inputting the questionnaire chart; Include,
The answer data input step,
The life pattern score is calculated by analyzing information of at least one of posts uploaded by the patient, pictures, videos, posts, and places where the posts are posted to one or more SNS accounts linked to the patient terminal, but included in the analysis result. And adding or subtracting the life pattern score in consideration of the effect of the factor on the health of the patient, and inputting the life pattern score in the life pattern questionnaire item of the questionnaire chart.
The server,
Receive measurement data for at least one of the patient's body temperature, heart rate, moving distance, moving speed of the patient from the patient terminal,
Analyze the measurement data and input the response data into the physical activity questionnaire item of the questionnaire chart, but if the patient's heart rate and one or more other factors increase at the same time, the patient is determined to be in motion and the physical activity score Yields,
Deriving the daily activity amount and the daily estimated calories burned by the patient through the information about the patient's daily steps, exercise time,
Analyze the meal pattern of the patient by analyzing the meal image of the patient collected from the patient terminal and the time the meal image uploaded for a certain period of time,
By calculating the statistics of the time the meal image is uploaded to generate and input the response data whether the patient is eating regularly,
Analyze the meal image to infer the cooking included in the meal image, calculate the estimated calories based on this based on the patient's basic metabolic rate to generate and enter the response data for the patient's news or overeating ,
And matching the inferred dishes with a list of food stored in a database to generate and input answer data for eating habits of a corresponding patient.
The method of claim 1,
The measurement data,
Biometric information or activity information of the patient measured from the measuring device or wearable device,
The measuring device,
Blood glucose meter, blood pressure meter, weight meter, inbody, smart watch, pedometer, smart shoes, smart clothes, smart toothbrush, including at least one of, medical appointment, reception method using a terminal.
The method of claim 2,
The server,
Analyze the in-body measurement data received from the patient terminal to calculate a body score, input the body score to a questionnaire chart,
When at least one element of the patient's body fat amount, obesity value, abdominal obesity value, body balance is out of the reference range, the response data indicating that there is a problem in the corresponding element is input, the method for receiving appointments using the terminal .
The method of claim 2,
The server,
When the patient schedules and receives medical treatment at the dentist, the measurement data about whether the patient brushing teeth received from the patient's smart toothbrush or electric toothbrush is analyzed to generate an answer data about the patient's brushing cycle on a questionnaire chart. A medical appointment reception method using a terminal, characterized in that being input.
The method of claim 1,
The server,
If there is a history questionnaire item among the questionnaire items of the questionnaire chart, the patient data of the patient is analyzed and the answer data is input to the history questionnaire item.
Analyze the data on the association between medical treatment, symptoms, and symptoms stored in the database to select the past history determined to be related to the current symptom, disease name of the patient, and input the terminal into the historical questionnaire item as answer data. How to make an appointment.
Regarding medical appointment and reception desk server using terminal,
Matching unit for matching the symptom information of the patient and the questionnaire list stored in the database;
A questionnaire chart generation unit for generating a questionnaire chart including questionnaire items matched through the matching unit; And
Analyze measurement data for one or more measurement items received from a patient terminal, input answer data corresponding to an input questionnaire item using the measurement data among the questionnaire items, and the patient who receives the medical treatment is the same within a certain period of time. In case of a patient who has returned to the symptom, the analysis unit compares the questionnaire chart and the questionnaire items of the current questionnaire chart and derives a change point and inputs the questionnaire chart.
The server,
Providing the medical staff chart with the input completed;
Receive measurement data for at least one of the patient's hourly body temperature, heart rate, moving distance, moving speed from the patient terminal,
The analysis unit,
The life pattern score is calculated by analyzing information of at least one of posts uploaded by the patient, pictures, videos, posts, and places where the posts are posted to one or more SNS accounts linked to the patient terminal, but included in the analysis result. Considering the influence of the factors on the health of the patient plus or minus the life pattern score, input the life pattern score in the life pattern questionnaire item of the questionnaire chart,
Analyze the measurement data and input the response data into the physical activity questionnaire item of the questionnaire chart, but if the patient's heart rate and one or more other factors increase together at the same time, it is determined that the patient is in motion and the physical activity score Yields,
Deriving the daily activity and daily estimated calories burned by the patient through the information about the patient's daily steps, exercise time,
Analyze the meal pattern of the patient by analyzing the meal image of the patient collected from the patient terminal and the time the meal image uploaded for a certain period of time,
By calculating the statistics of the time the meal image is uploaded to generate and input the response data whether the patient is eating regularly,
Analyze the meal image to infer the cooking included in the meal image, calculate the estimated calories based on this based on the patient's basic metabolic rate to generate and enter the response data for the patient's news or overeating ,
And matching the inferred dishes with a list of food stored in a database to generate and input answer data for eating habits of a corresponding patient.
A medical appointment program using a terminal, coupled to a computer, which is hardware, and stored in a medium for executing the method of any one of claims 1 to 5.

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