KR102028676B1 - A method, server and program for providing medical after case service - Google Patents

Abstract

The present invention relates to a method, a server, and a program for providing a hospital diagnosis after-care service. The method comprises the steps of: matching a diagnosed disease name of a patient with a ruleset list of a database to derive one or more first rulesets matching a corresponding patient; matching patient information and diagnosis opinion information with the ruleset list and deriving one or more second rulesets matching the corresponding patient; and analyzing measurement data for one or more measurement items received from a patient terminal to monitor whether the patient performs the first ruleset or the second ruleset.

Description

How to provide hospital care aftercare services, servers and programs {A METHOD, SERVER AND PROGRAM FOR PROVIDING MEDICAL AFTER CASE SERVICE}

The present invention relates to a method, a server and a program for providing a hospital after-sales service.

In general, when a patient sees a doctor in hospital, he or she can tell the patient what to watch out for in the treatment of the illness.

Treatment in the hospital and prescription of medications are important, but in order to fundamentally cure the disease, it is very important to follow the precautions and take care of the patients themselves.

However, most patients only keep the precautions for a while, and over time, they forget or do not follow the precautions due to annoyance.

Recently, most people carry mobile communication devices such as smartphones and tablets, and devices that can measure various body information have been developed, but there is no invention that proposes a solution to the above-mentioned problems by utilizing them. It is true.

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

The present invention for solving the problems as described above derives the ruleset for the items to be observed for the treatment of the disease after the patient or hospital discharge, and the hospital after-sales after monitoring the patient by analyzing the measurement data received from the patient terminal It may provide a method of providing care services.

In addition, the present invention derives the first rule set, which is a common rule set through the name of the disease, and derives the second rule set, which is an individual rule set, through patient information and medical observation information, and provides a hospital after-sales service that is differentiated for each individual. It may provide a method of providing care services.

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.

Hospital after-sales service providing method according to an embodiment of the present invention for solving the above-described problems, the method performed by the server, matching the diagnosis name of the patient with the ruleset list of the database, the patient is matched Deriving one or more first rulesets, matching patient information and medical opinion information with the ruleset list, deriving one or more second rulesets matching the corresponding patient, and one or more measurement items received from the patient terminal. Analyzing the measurement data, and monitoring whether the patient has implemented the first ruleset or the second ruleset, wherein the ruleset includes the patient's behavior guidelines based on the diagnosis disease name, and the patient information It includes one or more of physical information, occupation, family history, past history, surgery, and medication.

The measurement data may be biometric information or activity information of a patient measured from a measuring device or wearable device, and the measuring device or wearable device may include a blood glucose meter, a blood pressure meter, a weight meter, a body temperature meter, an inbody, a smart watch, a pedometer , At least one of smart shoes, smart clothing, smart toothbrush.

In addition, a threshold range is set for each rule set, and in the monitoring step, the measurement data of one or more items received from the patient terminal are analyzed to calculate a score of the corresponding item, and the score is calculated from the first rule set or the second rule set. Monitoring compared with a threshold range of a corresponding ruleset; and providing a notification message to a patient terminal when the score falls below or exceeds the threshold range.

The ruleset may include one or more items of blood pressure, smoking cessation, alcohol, walking, exercise, weight, diet, pulse, blood sugar, and sleep pattern, in consideration of the analysis result of the patient information and medical observation information. Adjusting the threshold range of the first rule set or the second rule set.

The medical opinion information may include voice opinion data recorded through the patient terminal or the medical staff terminal during the treatment of the patient and the medical staff, and the derivation of the second rule set may include the voice opinion received from the patient terminal or the medical staff terminal. Analyzing the data, matching the analysis result with the ruleset list, to derive one or more second rulesets matching the patient, and matching the patient information with the ruleset list, matching the patient And matching patient information to derive one or more second rulesets.

The method may further include providing information regarding the first rule set, the second rule set, and the threshold range of each rule set to the patient terminal, and providing the monitoring result to the patient terminal at regular intervals.

In addition, when the patient receives the re-medical treatment under the same name, it is characterized in that to provide the medical staff client with the monitoring results from the time of the last medical treatment to the time of re-care.

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 hospital care aftercare service providing program according to another embodiment of the present invention executes the above-mentioned hospital care aftercare service providing method in combination with a computer, which is hardware, and is stored in a medium.

According to the present invention as described above, by monitoring the patient to observe the ruleset by analyzing the patient's biometric information or activity information, it has an effect to care for the patient even after treatment and prescription.

By deriving individual ruleset based on patient information and patient's medical observation information, it is effective to provide aftercare in consideration of the condition and situation of each patient.

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 method for providing hospital care aftercare service according to an embodiment of the present invention.
2 is a flow chart of a method for providing hospital care aftercare service according to an embodiment of the present invention.
3 is a ruleset list according to a disease name code according to an embodiment of the present invention.
4 is a ruleset list according to patient information according to an embodiment of the present invention.
5 is a ruleset list according to the findings in accordance with an embodiment of the present invention.
6 is an exemplary diagram illustrating an item of each ruleset according to an embodiment of the present invention.
7 is an exemplary diagram illustrating that the first rule set, the second rule set derived in accordance with an embodiment of the present invention.
8 is an exemplary diagram illustrating the actual application of the first rule set or the second rule set of FIG.
9 is an exemplary diagram illustrating monitoring a patient by analyzing measurement data.
10 is a block diagram of a hospital care aftercare service providing server 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, when a patient sees a doctor in a hospital, he / she will receive medical treatment, a medical examination, surgery, various treatments, and prescription drugs depending on the patient's illness.

In addition, there are important things to treat the patient's illness, which will either follow the instructions given by the staff after the patient has left the hospital or take care of himself.

However, most patients only take care and self-care for the time being, and over time they neglect or neglect their care.

Accordingly, by analyzing the information of the patient, the name of the patient, the medical findings of the medical staff through a system such as a computer, the server 100 to derive a ruleset suitable for the patient, and to collect various measurement data collected through the patient terminal 500 By analyzing, the present invention has been made to provide a method, a server 100, and a program for monitoring whether a patient is properly following the ruleset.

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.

1 is a schematic diagram of a method for providing hospital care aftercare service according to an embodiment of the present invention.

Referring to Figure 1 will be briefly described for the hospital care aftercare service providing method according to an embodiment of the present invention.

The server 100 loads the diagnosis disease name, the patient information, and the medical opinion information of the patient who has completed the treatment, and matches it with the ruleset list stored in the server 100 database 130.

In addition, the matched rulesets are stored in the aftercare information of the patient, and the various measurement data received from the patient terminal 500 are analyzed to monitor whether the patient properly observes the rulesets.

3 to 6, the ruleset according to an embodiment of the present invention will be briefly described.

3 is a ruleset list according to a disease name code according to an embodiment of the present invention.

Referring to FIG. 3, a rule set corresponding to each bottle name code is illustrated. This means that the items to be observed for each bottle are checked.

For example, when the disease name is indigestion, diet, regular life, walking, exercise, quitting smoking, alcohol, and the like among the ruleset may correspond.

In another example, if the disease is hypertension, weight control, diet, walking, exercise, quit smoking, alcohol, maintain a constant blood pressure, and the like.

4 is a ruleset list according to patient information according to an embodiment of the present invention.

Referring to Figure 4, it illustrates that the corresponding ruleset is displayed according to the patient information. This is as if the items to be observed are checked according to the respective patient information.

For example, items that need to be particularly careful by occupation, items that should be noted by patients with specific family histories, items that should be noted by patients with specific surgical history, items that should be noted by patients with specific history, and patient weight. Depending on what you need to do, depending on the medication you are taking, you may want to check it out.

5 is a ruleset list according to the medical findings according to an embodiment of the present invention.

Referring to Figure 5, it illustrates that the corresponding ruleset is marked according to the medical opinion of the medical staff. This means that the items to be observed are checked according to the opinion of the doctor.

Although the ruleset list has been described with reference to FIG. 3, FIG. 4, and FIG. 5 in the description of the present invention, the ruleset list is not limited to being divided according to disease name, patient information, and medical opinion.

6 is an exemplary diagram illustrating an item of each ruleset according to an embodiment of the present invention.

6 illustrates a rule set item according to an embodiment of the present invention. Hereinafter, an embodiment of the present invention will be described with reference to the rule set of FIG. 6.

2 is a flowchart of a method for providing hospital care aftercare service according to an exemplary embodiment of the present invention.

Referring to Figure 2 will be described with respect to the flow of the hospital care aftercare service providing method according to an embodiment of the present invention.

First, the matching unit 120 of the server 100 matches a diagnosis disease name of a patient with a ruleset list stored in the database 130 to derive one or more first rulesets matching the corresponding patient. (Step S610)

More specifically, when the matching unit 120 of the server 100 is terminated the treatment of the patient and the medical staff, the information on the diagnosis disease name of the patient is loaded through the treatment chart of the patient. In this case, a medical chart may be received or loaded from the medical staff client 700.

The diagnosis disease name of the patient may be the disease name itself, or may be a disease code corresponding to the disease name.

The matching unit 120 of the server 100 matches the bottle name code with the rule set list, and selects rule sets matching the bottle name code from the rule set list to derive the first rule set.

In an embodiment of the present invention, the ruleset includes a list of behavioral guidelines of the patient based on the diagnostic disease name.

More specifically, it includes one or more items that a patient must follow for treatment of a disease after treatment or discharge.

More specifically, the ruleset includes guidelines items such as blood pressure, smoking cessation, alcohol, walking, exercise, weight, diet, pulse rate, blood sugar, sleep pattern, and the like.

In addition, since the first rule set is derived by selecting only the disease name without considering the patient's personal situation in the ruleset list, it means a rule set that is commonly assigned to the patient having the disease.

For example, the first ruleset derived for gastritis patients means those that everyone with gastritis should follow for treatment.

In operation S610, the matching unit 120 of the server 100 matches the patient information and the medical opinion information with the ruleset list to derive one or more second rulesets matching the corresponding patient. (Step S630)

When the matching unit 120 of the server 100 terminates the treatment of the patient and the medical staff, it means that the patient information and the medical opinion information of the corresponding patient are loaded.

At this time, the patient information includes the patient's physical information, occupation, family history, past history, surgical history, drug taking history.

Medical opinion information includes medical chart information and voice opinion data.

In detail, the medical opinion information includes voice opinion data recorded through the patient terminal 500 or the medical staff terminal during the treatment of the patient and the medical staff.

In addition, step S630 may be composed of a voice finding matching step (step S633) and patient information matching step (step S637).

In the voice finding matching step (S633), the analysis unit 140 of the server 100 analyzes the medical chart information and the voice finding data, and the matching unit 120 matches the analysis result with the ruleset list to match the patient. One or more second rulesets are derived.

In the patient information matching step (S637), the matching unit 120 of the server 100 matches the patient information with the ruleset list to derive one or more second rulesets matching the corresponding patient.

At this time, deriving the ruleset according to the patient information is illustrated in FIG.

For example, if a patient's job is a job with little activity, a ruleset recommending activity may be included.

In addition, in the case of a patient having a specific family history, a specific ruleset may be applicable.

Through this, the ruleset is derived in consideration of the individual characteristics and circumstances of the patient, such as the patient's physical information, occupation, family history, past history, surgical history, drug history, etc., means a ruleset that is individually assigned.

In addition, the analysis unit 140 of the server 100 analyzes the medical contents and voice opinion data of the medical staff input to the medical chart of the patient, and extracts medical opinion information of the medical staff.

For example, when the analysis unit 140 of the server 100 analyzes the medical chart and voice findings data, and there is a finding of physical activity (walking) in the medical chart or the voice finding, the medical opinion about walking is If so, it matches the ruleset list.

As another example, if there are opinions about weight control, smoking cessation, alcoholism, etc., it is determined that there is a medical opinion about each, and it is matched with the ruleset list.

Since the medical staff meets the patient in person and views and examines the patient's condition to give the patient more accurate findings, the medical chart and the medical observation information can be used to derive a ruleset suitable for the individual patient.

In operation S630, the monitoring unit 155 of the server 100 analyzes measurement data about one or more measurement items received from the patient terminal 500, and monitors whether the first rule set or the second rule set is performed by the patient. . (Step S650)

In this case, the measurement data is biometric information or activity information of the patient measured from the measuring device or the wearable device.

In addition, the measuring device and the wearable device include a blood glucose meter, a blood pressure meter, a weight meter, a body temperature meter, an inbody, a smart watch, a pedometer, smart shoes, smart clothes, a smart toothbrush, and the like.

A threshold range is set for each rule set of the ruleset list stored in the database 130 of the server 100.

The method may further include adjusting a threshold range of the first rule set or the second rule set in consideration of the analysis result of the patient information and the medical opinion information before step S650.

More specifically, the threshold range adjusting unit of the server 100 means that the analysis unit 140 adjusts the threshold range of the first rule set or the second rule set in consideration of the result of analyzing the patient information and the medical opinion information. do.

For example, the first ruleset or the second ruleset includes a rule set for exercise, and the critical range is 30 minutes to 1 hour of exercise per day, and the voice data indicates that the doctor should not exercise more than 30 minutes a day. If so, the threshold range can be adjusted to exercise within 30 minutes per day.

In another example, the first ruler or the second ruleset includes a rule set for walking and exercise, and walks more than 4 km per day as a critical range, and 30 minutes to 1 hour of exercise. If you do not exercise for one week and do not walk much, you can adjust the threshold of the ruleset for exercise to zero for one week and the threshold of the ruleset for walking to less than 2km per day.

The threshold range adjusting unit of the server 100 according to an embodiment of the present invention is learned to adjust each rule set of the ruleset list according to patient information and medical opinion information.

In operation S650, the analysis unit 140 of the server 100 analyzes measurement data about one or more items received from the patient terminal 500, calculates a score of the corresponding item, and calculates the score of the corresponding first rule set or the first rule set. Monitoring in comparison with the threshold range of the corresponding rule set of the second rule set (step S650), and if the score exceeds the threshold range, providing a notification message to the patient terminal 500 (step S670). ).

For example, if there is a rule set and a threshold range for an exercise item, and the measurement data is analyzed and it is determined that the exercise amount of the patient exceeds or falls below the threshold range, the notification providing unit 160 of the server 100 may determine the patient. To provide a notification message to the terminal 500.

In this case, the notification providing unit 160 provides a function of changing the type and delivery method of the notification message according to the patient.

The healthcare service application provided by the server 100 may be set to provide a notification message. For example, a notification message such as a push, a pop-up window, a notification sound, or a vibration may be provided to the patient terminal 500.

In addition, Kakao Talk, Naver Line, Facebook Messenger, etc. may be selected, and the notification bot of the server may transmit a message to the patient through the messenger.

At this time, the notification bot can be applied to an interactive program, and various types of chat formats can be learned to transmit a message in a conversation format to the patient.

Through this, the notification bot can interactively notify the patient that the patient is not obeying the ruleset, rather than providing a rigid message through the messenger. In addition, by learning a buzzword, it can also be used to provide an interactive message to a patient.

In addition, when receiving a group monitoring request through the patient terminal 500, by selecting one or more patients with the same disease among the patients applying for group monitoring, to open a group chat room, the notification bot of the server 100 You can have your group chat room provide notifications.

Through this, it is possible to share information between patients, and the effect of having to keep the ruleset together with the members, not to observe the ruleset alone.

The information providing unit of the server 100 may further include providing information about the first rule set, the second rule set, and the threshold range of each rule set to the patient terminal 500, and the information providing unit may include a monitoring unit (eg, It is characterized in that to provide the monitoring result of the 155 to the patient terminal (500).

This allows the patient to know what rulesets are assigned to the result of the treatment and how much of the threshold range is assigned, and the monitoring results are informed at regular intervals so that the patient can know how much the ruleset is kept for the treatment / improvement of the disease. have.

In addition, the analysis unit 140 of the server 100 analyzes the disease name, patient information and medical opinion information of the patient, and the rule set against the items that the patient must protect from among the first rule set or the second rule set. Deriving and checking the rule set as an essential rule set may be further included.

In the providing of the notification message, when the rule set whose score is less than or above the threshold range corresponds to the required rule set, the notification message is provided to the guardian terminal.

In this case, the caregiver terminal may be set by a patient, caregiver, or medical staff, and may be a parent, child, sibling, or friend of the patient.

In addition, the monitoring unit 155 of the server 100, when the patient receives the re-medical under the same disease name, characterized in that to provide the medical staff client 700 with the monitoring results from the time of the last medical treatment to the re-care period .

FIG. 7 is an exemplary diagram illustrating a first rule set and a second rule set derived according to an embodiment of the present invention, and FIG. 8 is an exemplary diagram illustrating the actual application of the first rule set or the second rule set of FIG. 7. 9 is an exemplary diagram illustrating monitoring a patient by analyzing measurement data.

Referring to FIG. 7, height, weight, waist circumference, occupation, family history, surgery history, and past history are displayed as patient information of Hong Gil-dong patient.

And as a result of the medical examination, the diagnosis disease code was 0001, and the walking and exercise were analyzed based on the medical career finding information.

Through this information, matching with the ruleset list of FIGS. 3 to 5 will be described.

The first ruleset derived through the disease code 0001 is A, B, C, G.

The second ruleset derived through the occupation C of the patient is D, E, and the second ruleset derived through the family history A of the patient is C. And, the second ruleset derived through the body weight, waist circumference of the patient is F.

8, detailed information and threshold ranges of the first rule set and the second rule set are illustrated.

As described above, in the first rule set and the second rule set in FIG. 8, the threshold range adjusting unit adjusts the threshold range in consideration of analysis results of patient information and medical opinion information.

At this time, if there is a rule set in which items overlap among the rule sets of the first rule set and the second rule set, the monitoring unit 155 monitors the calculated score by comparing with the threshold range of the second rule set.

Since the first rule set refers to a common rule set according to the disease name, and the second rule set is a rule set optimized for an individual patient, the first rule set means to ignore the threshold range of the first rule set and compare it with the threshold range of the second rule set.

Referring to FIG. 8, although rulesets B and C are included in both the first and second rulesets, respectively, compared to the threshold range of the second ruleset, monitoring is performed.

In addition, FIG. 9 illustrates monitoring of measurement data for walking and exercise, respectively, among measurement data received from the patient terminal 500.

The threshold range of the walking item of the second ruler of the patient is 5km to 10km per day, and the threshold range of the exercise item is assigned to 30 minutes to 1 hour per day, so that the walking ruleset was not properly observed on 2 July. Message, on July 3, the notification provider 160 of the server 100 provides a notification message that the exercise ruleset was not properly followed to the patient terminal 500.

Hereinafter, the measurement data according to an embodiment of the present invention will be described in detail.

The measurement data refers to the biometric information or activity information of the patient measured from the measuring device or wearable device roll 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 patient terminal 500, but is not limited thereto.

In addition, if there is an item that can be performed by the patient terminal 500 itself, the patient terminal 500 may directly measure and store data about the patient.

If the measurement data according to the embodiment of the present invention as described above can be stored in the patient terminal 500 by measuring biometric information or activity information for the patient, any application is applicable, and thus is not limited to the above-described matters.

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.

If the patient's heart rate and one or more other factors increase at the same time, the analysis unit 140 of the server 100 may determine that the patient is exercising at the corresponding time and calculate the number of steps or exercise time. .

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

In addition, by calculating the number of steps, the walking distance 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 excluded from the calculation target.

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.

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 sleep pattern data. 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.

If there is a sleep pattern item in the rule set of the patient, the analysis unit 140 of the server 100 may analyze the sleep pattern data, and the monitoring unit 155 may monitor the sleep pattern of the patient.

For example, the threshold range is set to take 6 to 8 hours of sleep per day in the first or second rule set, and the sleep time of the patient is 6 hours as a result of analyzing the sleep pattern of the patient through the measurement data. If less than 8 hours or more, the patient terminal 500 to provide a notification message to increase or decrease the sleep time with the sleep pattern information.

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.

This case corresponds to a case where there is a dietary item in the first ruleset or the second ruleset, and may correspond to a patient who must have a dietary regimen for the treatment of the disease.

In addition, the analysis unit 140 of the server 100 may analyze the meal image of the patient received from the patient terminal 500 and the time at which the meal image is uploaded to analyze the meal pattern of the patient and the dish of the meal.

In more detail, the analysis unit 140 of the server 100 may calculate whether the meal image is uploaded and monitor 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. Then, the calculated calories can be monitored 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 corresponding patient calculated through this Judgment can also be based on basal metabolism.

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. It can also be monitored.

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

In another embodiment of the present invention, the monitoring step may further include monitoring the SNS activity information.

More specifically, 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, and analyzes the result of the patient's first ruleset or agent. 2 Monitor by matching with rule set.

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, It means monitoring by analyzing the information such as time / place where the post was posted and matching the rule set.

In more detail, if the analysis result includes an element that is inconsistent with the ruleset of the patient, it means that the corresponding patient has not complied with the ruleset and provides a notification message to the patient terminal 500.

For example, if the analysis unit 140 of the server 100 analyzes the SNS activity information, and it is determined that the patient has smoked, has drunk, or has eaten late, there may be a rule set matching the patient. In this case, it is determined that the patient does not observe the ruleset, and provides a notification message to the patient terminal 500.

10 is a block diagram of a hospital care aftercare service providing server 100 according to an embodiment of the present invention.

Referring to FIG. 10, the server 100 includes a matching unit 120, a database 130, an analyzing unit 140, a monitoring unit 155, and a notification providing unit.

The matching unit 120 matches the diagnosis disease name of the patient with the ruleset list of the database 130 to derive one or more first rulesets matching the corresponding patient.

In addition, the matching unit 120 derives one or more second rule sets matching the patient information by matching the patient information and medical opinion information of the patient with the ruleset list.

The monitoring unit 155 analyzes the measurement data for one or more measurement items received from the patient terminal 500 to monitor whether the patient implements the first rule set or the second rule set.

At this time, the ruleset is to include one or more items that the patient should observe for the treatment of the disease after treatment or discharge.

In addition, the patient information includes one or more of the patient's physical information, occupation, family history, past history, surgical history, drug taking history.

In addition, since only the categories of the hospital care aftercare service providing method and the invention described above with reference to FIGS.

The above-described method for providing a hospital after-care service according to an exemplary embodiment of the present invention may be implemented as a program (or an application) and stored in a medium to be executed in combination with a server which is hardware.

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 120: matching unit
130: database 140: analysis unit
155: monitoring unit 160: notification providing unit
500: patient terminal 700: medical staff client

Claims (9)

In the way performed by the server,
Loading a diagnosis name through a matching chart of a patient and matching a disease name code with a ruleset list of a database to derive one or more first rulesets matching the diagnosis name of the patient;
Deriving one or more second rulesets matching the patient by matching the patient information and medical opinion information with the ruleset list;
Adjusting a threshold range of the first rule set or the second rule set in consideration of a result of analyzing the patient information and medical opinion information by a threshold range adjusting unit; And
The monitoring unit analyzes the measurement data for one or more items received from the patient terminal to calculate the score of the corresponding item, and monitoring by comparing with the threshold range of the corresponding rule set;
The server, when the first rule set or the second rule set in the diet item, requests the upload of the meal image to the patient terminal,
The analysis unit analyzes a meal pattern of the patient by analyzing a time at which the meal image is uploaded from the patient terminal, analyzes the meal image, infers a dish included therein, and calculates an estimated calorie based on the meal pattern. Monitoring,
The medical opinion information,
It includes voice findings data recorded through the patient terminal or medical staff terminal, medical chart information of the patient during the treatment of the patient and medical staff,
The ruleset,
Including one or more of blood pressure, smoking cessation, alcohol, walking, exercise, weight, diet, pulse, blood sugar, sleep pattern,
The ruleset includes a list of behavioral guidelines of a patient based on the diagnostic disease name,
The patient information includes one or more of the patient's physical information, occupation, family history, past history, surgical history, drug taking history, hospital care aftercare service providing method.
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 or wearable device,
A method for providing hospital care aftercare service, comprising at least one of a blood glucose meter, a blood pressure meter, a weight meter, a thermometer, an inbody, a smart watch, a pedometer, a smart shoe, a smart garment, a smart toothbrush.
The method of claim 1,
The threshold range adjusting unit,
And learning to adjust the threshold range of each rule set of the ruleset list according to patient information and medical opinion information.
delete The method of claim 1,
The medical opinion information,
Includes voice findings data recorded through the patient terminal or medical staff terminal during the treatment of patients and medical staff,
The second rule set derivation step,
A voice finding matching step of analyzing the voice finding data received from the patient terminal or the medical staff terminal, matching the analysis result with the ruleset list, and deriving one or more second rulesets matching the corresponding patient; And
And matching the patient information with the ruleset list to derive one or more second rulesets matched to the corresponding patient. 2.
The method of claim 1,
And providing an information provider to the patient terminal with information about the first rule set, the second rule set, and a threshold range of each rule set.
The information providing unit,
Method for providing a hospital after-care service, characterized in that for providing a monitoring result of the monitoring unit to the patient terminal every predetermined period.
The method of claim 1,
The monitoring unit,
If the patient receives the re-care under the same name, the method of providing a hospital after-sales service, characterized in that to provide a medical staff client with the monitoring results from the last time of care to the time of re-care.
The hospital care aftercare service providing server,
Loading the diagnosis name through the chart of the patient, matching the disease name code with the ruleset list of the database to derive one or more first rulesets matching the diagnosis name of the patient, and the patient information and medical opinion information and the ruleset list A matching unit for matching and deriving one or more second rulesets matching the corresponding patient;
A threshold range adjusting unit for adjusting a threshold range of the first rule set or the second rule set in consideration of the analysis result of the patient information and the medical opinion information;
And a monitoring unit for analyzing the measurement data of one or more measurement items received from the patient terminal to calculate a score of the corresponding item, and monitoring and comparing the measured data with a threshold range of the corresponding ruleset.
The monitoring unit,
If the rule set that the score falls below or exceeds the threshold range corresponds to the required rule set, a notification message is provided to the guardian terminal.
When the server has a dietary item in the first ruleset or the second ruleset, the server requests to upload a meal image to the patient terminal.
Analyzing the patient's eating habits by analyzing the meal pattern of the patient by analyzing the time that the meal image is uploaded from the patient terminal, inferring dishes included by analyzing the meal image, and calculating the estimated calories based on the meal image. Contains more wealth,
The medical opinion information,
It includes voice findings data recorded through the patient terminal or medical staff terminal, medical chart information of the patient during the treatment of the patient and medical staff,
The ruleset,
Including one or more of blood pressure, smoking cessation, alcohol, walking, exercise, weight, diet, pulse, blood sugar, sleep pattern,
The ruleset includes a list of behavioral guidelines of a patient based on the diagnostic disease name,
The patient information includes one or more of the patient's physical information, occupation, family history, past history, surgery, drug taking power, hospital care aftercare service providing server.
A program for providing hospital care aftercare services, coupled to a computer, which is hardware and stored on a medium for carrying out the method of any one of claims 1 to 3.

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