KR20200119214A - Method and apparatus for transmitting patient status information in the patient management system - Google Patents

Abstract

According to an embodiment of the present invention, an apparatus and a method for providing patient status information in a patient management system receive a plurality of defecation information corresponding to a plurality of time points of a plurality of defecation events from an automatic feces processing device; compare a plurality of defecation status values corresponding to the defecation events to check whether the user′s defecation status has changed; receive first medication information indicating information of drugs administered to a user during a first time period between the plurality of time points from a medication information registration device, and second medication information indicating information of drugs administered to the user during a second time period prior to the first time period; compare the first medication information and the second medication information to determine whether the user′s medication information has changed; and when the medication information is changed, generate patient status information indicating that the defecation status of the user has changed and transmit the same to one of a medication information registration device and a diet information registration device.

Description

TECHNICAL FIELD [Method and apparatus for transmitting patient status information in the patient management system]

The present invention relates to a patient management system, and more particularly, to an apparatus and method for transmitting patient status information.

Due to the development of communication technology, the possibility of telemedicine is increasing. For example, telemedicine is a medical practice performed in a place where a doctor and a patient are far apart, and may be performing appropriate medical treatment by grasping a patient's condition through a communication means.

In particular, as the proportion of elderly people in Korean society has risen dramatically, the proportion of elderly people with disabilities is also increasing, and the need for telemedicine for these elderly people is also increasing. Such telemedicine can provide high-quality medical services not only to the elderly with limited mobility, but also to patients with disabilities due to surgery at a hospital.

In addition, since telemedicine performs diagnosis in consideration of the current state of the patient, it is possible to provide customized services for patients. In order to provide such patient-tailored services, it is of paramount importance to accurately and quickly grasp the patient's condition. Accordingly, the need for a method of grasping the patient's condition has emerged.

The present invention proposes a method for quickly and accurately managing patient state information in a patient management system.

In addition, the present invention proposes a method for quickly and accurately generating patient state information in a patient management system.

In addition, the present invention proposes a method for quickly and accurately transmitting patient status information in a patient management system.

A method of transmitting patient status information in a patient management system according to an embodiment of the present invention includes a process of receiving a plurality of bowel information corresponding to a plurality of points of time of a plurality of bowel events from an automatic fecal processing device, and the bowel event The process of checking whether the user's bowel status has changed by comparing a plurality of stool status values corresponding to the stool, and the drug administered to the user during the first time period between the plurality of time points from the medication information registration device. The process of receiving first dosage information indicating information and second dosage information indicating information of the drug administered to the user during a second time period prior to the first time period, and the first dosage information and the second dosage The process of checking whether the user's medication information is changed by comparing information, and when the medication information is changed, the patient status information indicating that the bowel condition of the user has changed is generated to register the medication information registration device and diet information It involves transmitting to one of the devices.

An apparatus for transmitting patient status information in a patient management system according to an embodiment of the present invention includes: a transmission/reception module; And receiving a plurality of bowel information corresponding to a plurality of time points of a plurality of bowel events from the automatic feces processing device through the transmission/reception module, and comparing a plurality of bowel status values corresponding to the bowel events to the user's bowel movement It is checked whether or not is changed, and the first dosage information and the first time period indicating information of the drug administered to the user during the first time period between the plurality of time points from the dosage information registration device through the transmission/reception module Receives second dosage information indicating information on the drug administered to the user during the previous second time period, and compares the first dosage information with the second dosage information to check whether the user's dosage information is changed And, when the medication information is changed, a processing module for generating patient status information indicating that the bowel status of the user has changed, and transmitting it to one of the medication information registration device and the diet information registration device through the transmission/reception module.

The present invention can improve the efficiency for patient management by managing patient status information quickly and accurately in a patient management system.

In addition, the present invention can increase the reliability for patient management by quickly and accurately generating patient state information in the patient management system.

In addition, according to the present invention, the patient management system can quickly and accurately transmit patient status information, thereby increasing the speed for patient management.

1A is a perspective view of a feces treatment apparatus according to an embodiment of the present invention.
1B is a side view of a human body wearing a wearing module of the excrement treatment apparatus according to an embodiment of the present invention.
2 is a diagram illustrating an image of a defecation state corresponding to a defecation state value according to an embodiment of the present invention.
3 is a block diagram of a patient management system according to an embodiment of the present invention.
4 is a graph showing times when a bowel movement event and a medication event occur according to an embodiment of the present invention.
5 is a flowchart of providing patient state information from a server according to an embodiment of the present invention.
6 is a view showing information on a bowel movement state at a time of a bowel movement event and medication information at a time point of a medication event according to an embodiment of the present invention.
7 is a graph showing times when a bowel movement event and an eating event occur according to an embodiment of the present invention.
8A is a block diagram of a server according to an embodiment of the present invention.
8B is a block diagram of a neural network module 100 according to an embodiment of the present invention.
9 is a diagram illustrating diet information at the time of an eating event according to an embodiment of the present invention.
10 is a flowchart of estimating a defecation state value according to an embodiment of the present invention.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms, and the following embodiments make the disclosure of the present invention complete, and the scope of the invention to those of ordinary skill in the art. It is provided to fully inform you. In addition, in the drawings for convenience of description, the size of the components may be exaggerated or reduced.

1A is a perspective view of a feces treatment apparatus according to an embodiment of the present invention.

The feces treatment device is a device that can automatically treat feces for patients who cannot handle feces independently after undergoing surgery in a hospital or for the elderly with limited mobility.

Referring to FIG. 1A, the excrement treatment apparatus 10 includes a mounting hole 11 and a main body 12. The mounting hole 11 is in close contact with the body of a user (eg, a patient or an elderly person with limited mobility) to receive the user's excrement. For example, the mounting hole 11 may contact the inner side of both thighs of the user, near the tailbone, and the lower abdomen. The body 12 automatically sucks and stores the excrement of the mounting hole 11 when the mounting hole 11 receives the excrement.

For example, the mounting hole 11 and the main body 12 of the excrement treatment device 11 may be configured according to the utility model registration number '20-0478932'.

1B is a side view of a human body wearing a wearing module of the excrement treatment apparatus 10 according to an exemplary embodiment.

Referring to FIG. 1B, the wearing module 13 of the excrement treatment device 10 is mechanically connected to a part of the mounting hole 11 so that the mounting hole 11 is in close contact with the user's body, and is in close contact with the user's body. For example, the wearing module 13 may contact the user's groin or the like.

3 is a block diagram of a patient management system according to an embodiment of the present invention.

Referring to FIG. 3, the patient management system includes an automatic excrement processing device 10, a server 20, a medication information registration device 30, and a diet information registration device 40.

The automatic excrement treatment apparatus 10 includes a mounting hole 11 and a main body 12, as shown in FIG. 1A so that the user's bowel movement can be automatically sucked and collected. All. And the automatic excrement processing apparatus 10 includes a photographing module 15 and a transmission module (not shown). The photographing module 15 generates a feces image by photographing the feces discharged by the user, and transmits the generated feces image to a transmission module (not shown). The transmission module (not shown) receives the feces image from the photographing module 15 and transmits the received feces image to the server 20.

For example, the automatic feces processing device 10 generates a stool image using the photographing module 15 each time a bowel movement event occurs, and generates a stool image and a corresponding stool image generated using a transmission module (not shown). The bowel movement information including the time point may be transmitted to the server 20. For example, the bowel movement event may represent an event of collecting bowel movements from the user in the body 12.

The medication information registration device 30 receives and stores medication information when a medication event occurs or immediately before or immediately after a medication event occurs to a user who uses the automatic excrement treatment device 10. For example, a dosing event may indicate an event of administering to a user. For example, the medication information may include a time when a drug is administered to a user and a medication history indicating information on the drug administered at that time. For example, the medication description may include the name and dosage of the drug.

For example, the medication information registration device 30 may transmit the stored medication information to the server 20 using a transmission/reception module (not shown) whenever a medication event occurs. And the medication information registration device 30 receives the bowel status information from the server 20 using a transmission/reception module (not shown), and transmits the received bowel status information to the terminal of the caregiver or the terminal of the doctor in charge. I can.

For example, the bowel state information may be patient state information, and may include information indicating that the bowel state of the user has changed.

The diet information registration device 40 may receive diet information from a user using the automatic excrement processing device 10 when an eating event occurs or immediately before or immediately after an eating event occurs. For example, the eating event may represent an event of providing food to a user. For example, the diet information may include a time when food is provided to a user and food information provided at that time. For example, the food information may include identification information and mass information of a corresponding food ingredient.

For example, the diet information registration device 40 may be implemented as an application. For example, the application could be'Kinecare', which provides a management solution for patient nutrition. For example,'Kinecare' automatically implements diet information necessary for the patient when patient information is registered.In particular, if the patient is a cancer patient, it can also present information on how to resolve side effects such as vomiting. have. As such,'Kinecare' provides a diet management method to patients linked to affiliated hospitals.

The server 20 includes a processing module 21 and a transmission/reception module (not shown). The transmission/reception module (not shown) transmits or receives data from an external device. For example, the transmission/reception module (not shown) receives a feces image from the automatic excrement processing device 10, receives medication information from the medication information registration device 30, and receives diet information from the diet information registration device 40. Can receive. In addition, the transmission/reception module (not shown) may transmit the bowel status information (or patient status information) generated by the processing module 21 to a preset device. For example, the preset device may be at least one of the medication information registration device 30 and the diet information registration device 40, and may also include a caregiver terminal (not shown).

The processing module 21 determines a user's stool status value by using the received stool image. For example, the processing module 21 may determine a stool condition value by analyzing the received stool image. In more detail, the processing module 21 may pre-store the stool state images corresponding to the stool state values, as shown in FIG. 2, and compare the previously stored stool state images with the received stool image. In addition, the processing module 21 selects a stool state image having the highest similarity to the received stool image from among pre-stored stool state images, and converts the stool state value corresponding to the selected stool state image as the user's stool state value. You can decide. For example, the stool condition value may be one of 1 to 5.

As another example, the processing module 21 may transmit the received stool image to the expert's terminal, and in response thereto, may receive a stool status value of the received stool image. In addition, the processing module 21 may determine the received credit status value as the user's credit status value.

As another example, the processing module 21 may estimate the user's stool state value using the received diet information, and determine the estimated stool state value as the user's stool state value.

In addition, the processing module 21 generates bowel status information (or patient status information) using the user's stool status value and the received medication information, and transmits the bowel status information to a preset device through a transmission/reception module (not shown). send.

5 is a flow chart of providing information on a bowel movement in a server according to an embodiment of the present invention.

Referring to FIG. 5, the processing module 21 of the server 20 compares a plurality of stool state values corresponding to a plurality of times when a defecation event has recently occurred in step S10, so that the stool state value of the user is You can check whether it has changed or not.

For example, as illustrated in FIG. 4, the processing module 21 may check a plurality of times tb3 and tb2 in which a bowel movement event has recently occurred based on the current time point. In addition, the processing module 21 may detect defecation state values b1 and b2 corresponding to a plurality of identified points of time tb2 and tb3 among stored defecation state values, as illustrated in FIG. 6. In addition, the processing module 21 may compare the detected defecation state values b1 and b2 to determine whether the defecation state value has changed. As a result of the comparison, when the credit value is changed from the first state (b1) to the second state (b2) (or from b1 to b2), the processing module 21 may determine that the credit value is changed. Alternatively, if the credit status value is the same from b2 to b2 (or from b1 to b1), the processing module 21 may determine that the credit status value has not changed.

If the feces state value has changed, the processing module 21 proceeds to step S20, otherwise, it completes the operation of providing the defecation state information.

In step S20, the processing module 21 may check whether or not the user's medication details have changed by comparing medication details generated during a plurality of time periods.

For example, as shown in FIG. 4, the processing module 21 determines that the user's credit status value has changed from the first state (b1) to the second state (b2) before the first time point (t3). You can check the medication history for the user. In more detail, the processing module 21, as shown in FIG. 6, is a first time point from a predetermined second time point t2 before the first time point t3 to the first time point t3. The first medication history (m1, m2, m3) for the user during the liver (T1) and the second time period from the third time point (t1) before the second time point (t2) to the second time point (t2) During T2), the second medication details (m1, m2, m1) for the user can be detected. In addition, the processing module 21 may check whether the user's medication history has been changed by comparing the first medication details and the second medication details.

For example, when the first dosage details are (m1. m2, m3) and the second dosage details are (m1, m2, m1), the processing module 21 may determine that the user's dosage details have been changed. As another example, when the first dosage details are (m1. m2, m3) and the second dosage details are (m1. m2, m3), the processing module 21 may determine that the user's dosage details have not been changed.

As a result of the confirmation, if the user's medication history is changed, the processing module 21 proceeds to step S30, otherwise, the operation of providing the bowel status information is completed.

In step S30, the processing module 21 may transmit bowel status information indicating that the bowel movement state of the user has changed to a preset device through a transmission/reception module (not shown).

For example, the predetermined device may be at least one of the medication information registration device 30 and the diet information registration device 40. For example, the defecation state information may include {a previous stool state value, a recent stool state value, and whether or not to change medication history}. For example, the recent stool state value may represent a stool state value corresponding to a recently occurring bowel movement event, and the previous stool state value may represent a stool state value corresponding to a bowel movement event that occurred before the latest bowel event. For example, the value of whether or not to change the medication history may be an identifier indicating that the user's medication history has recently been changed.

8A is a block diagram of a server 20 according to an embodiment of the present invention.

Referring to FIG. 8A, the server 20 includes a processing module 21, a neural network module 100, a transmission/reception module (not shown), and a memory (not shown).

Looking at each component, the processing module 21 may receive a plurality of bowel information from the automatic excrement processing apparatus 10 through a transmission/reception module (not shown) and store it in a memory (not shown). For example, the plurality of bowel information may represent a plurality of bowel information generated by a plurality of bowel movement events. In more detail, the processing module 21 receives and stores a plurality of bowel movement information corresponding to a plurality of bowel movement events tb1, tb2, and tb3, as shown in FIG. 7.

In addition, the processing module 21 may receive a plurality of diet information from the diet information registration device 40 through a transmission/reception module (not shown) and store it in a memory (not shown). For example, the plurality of diet information may represent a plurality of diet information generated by a plurality of eating events. In more detail, as illustrated in FIG. 7, the processing module 21 receives and stores a plurality of diet information corresponding to a plurality of eating events ti1 to ti8.

Further, the processing module 21 generates a plurality of stool state values corresponding to the plurality of bowel information by using the stored bowel information, and stores the generated stool state values in a memory (not shown). For example, the processing module 21 may determine a stool state value by analyzing a stool image included in the received bowel information. As another example, the processing module 21 may transmit the received stool image to the expert's terminal, and in response thereto, may receive a stool status value of the received stool image. In addition, the processing module 21 may determine the received credit status value as the user's credit status value.

In addition, the processing module 21 transmits a plurality of stored diet information to the neural network module 100 so that the neural network module 100 can estimate the stool state value using the plurality of diet information.

The neural network module 100 receives a plurality of dietary information from the processing module 21 and estimates a plurality of fecal state values by using the received dietary information. For example, as shown in FIG. 7, the neural network module 100 includes a plurality of diet information corresponding to a plurality of time points (ti2, ti3, ti4) in which an intake event occurs during the third time period (T12). It is possible to receive (I1) from the processing module 21, and estimate a stool state value O1 corresponding to a time point tb2 at which a bowel movement event occurs using a plurality of received diet information. In addition, the neural network module may repeatedly perform this process to estimate fecal state values corresponding to a plurality of time points tb2 and tb3 of a plurality of defecation events.

In addition, the neural network module 100 estimates whether or not the user's bowel status is changed by comparing the estimated values of a plurality of bowel conditions.

For example, the neural network module 100 estimates the defecation state value by learning the operation of estimating the defecation state value using deep learning of an artificial intelligence (AI) system. Accuracy can be improved.

For example, an artificial intelligence (AI) system may refer to a technology or science that studies the methodology or feasibility of making human intelligence (cognition, reasoning, learning, etc.) into computers or systems. . Artificial intelligence related technologies include pattern recognition, machine learning, and deep learning. For example, deep learning is a technology used to classify or cluster objects or data, and is a type of machine learning. For example, deep learning can be referred to as machine learning. This machine learning is an algorithmic technology that classifies and learns features of input data by itself.

Hereinafter, an operation of the neural network module 100 performing machine learning will be described with reference to FIG. 8B.

Referring to FIG. 8B, the neural network module 100 includes a neural network unit 105 and a comparison unit 110. Looking at each component, the neural network unit 105 may receive a training data set 101 for machine learning. For example, the learning data set 101 may include some of diet information set in advance or stored in a memory (not shown). For example, the learning data set 101 may include a set of a plurality of diet information consumed by the user during a specific time period and a stool state value corresponding to a bowel movement event that first occurs after a specific time period. For example, the diet information may include identification information of food ingredients and mass information of food ingredients. For example, identification information of food ingredients and mass information of food ingredients may be represented by numbers.

For example, as shown in FIG. 9, the learning data set 101 includes a plurality of diet information and a bowel movement event consumed by a user at a plurality of time points (ti2, ti3, ti4) of a plurality of intake events. The state value of the feces excreted by the user at the time point tb2 may be included. For example, when the plurality of food ingredients consumed by the user at a specific time point (ti2) are mackerel, milk, soy sauce, peanuts, and rice, the identification information of the food ingredients is a plurality of identification information corresponding to the plurality of food ingredients (1 , 2, 3, 4, 5) may be included. In addition, the mass information of the food material may include a plurality of mass information 50, 100, 5, 20, and 50 corresponding to the plurality of food ingredients. For example, the mass information of food ingredients may be expressed in gram (gram) units. That is, the identification information for the food material mackerel may be 1, and the mass information may be indicated as 50.

For example, the plurality of time points ti2, ti3, and it4 may represent a plurality of time points of a plurality of ingestion events occurring between the time points tb1 and tb2 at which the plurality of bowel events occur.

For example, the credit status value of the user included in the training data set 101 may be b1. For example, the credit state value included in the training data set 101 may not be a value estimated by the neural network module 100. For example, the credit status value included in the training data set 101 may be a credit status value received by the server 20 as a response to the transfer of the credit image to the expert's terminal. That is, the credit status value included in the training data set 101 is a credit status value given by an expert.

However, the credit status value included in the training data set 101 is not limited to the credit status value given by an expert. For example, the stool state value determined by the expert may be a stool state value determined by the processing unit 21 by analyzing a stool image.

Then, the neural network unit 105 estimates the user's defecation state value Y1 using the inputted training data set 101 and transmits the estimated defecation state value Y1 to the comparison unit 110. For example, when a plurality of diet information corresponding to a plurality of intake events (ti2, ti3, ti4) occurring during the third time period (T12) is input into the learning data set 101, the neural network unit 105 is input The stool state value at the time when the bowel event occurs (tb2) may be estimated using the plurality of diet information.

The comparison unit 110 receives the estimated stool state value (Y1) from the neural network unit 105, and detects the estimated stool state value (Y1) and the stool state value (b1) included in the training data set 101 Then, the estimated stool condition value Y1 and the detected stool condition value b1 are compared to determine a difference value between the estimated stool condition value Y1 and the detected stool condition value b1. And the comparison unit 110 generates a backpropagation value that minimizes the difference between the estimated defecation state value (Y1) and the detected defecation state value (b1) using the determined difference value, and uses the generated backpropagation value into the neural network unit. Transfer to (105).

The neural network unit 105 receives the backpropagation value from the comparison unit 110, and minimizes the difference between the estimated defecation state value (Y1) and the detected defecation state value (b1) based on the received backpropagation value. Carry out learning.

This machine learning is when the stool status value corresponding to the recent defecation event and the diet information consumed immediately before the recent defecation event or during a certain time period (for example, the third time period) are collected or stored in the server 20 It can be performed repeatedly every time. The neural network unit 105 may accurately estimate the user's feces state value as machine learning is repeated.

10 is a flowchart of estimating a defecation state value according to an embodiment of the present invention.

For example, the processing module 21 may estimate a defecation state value for performing step S10 of FIG. 5 using the same method as in FIG. 10.

Referring to FIG. 10, when a first eating event for a user occurs in step S110, the processing module 21 transmits diet information consumed in the first eating event to the neural network module 100. For example, the diet information may include identification information and mass information of food ingredients.

For example, the neural network module 100 receives diet information of a first eating event, generates a stool state value of the user using the received diet information, and transmits the generated stool state value to the processing module 21. I can.

In step S120, the processing module 21 may receive a stool state value from the neural network module 100 and check whether the user's defecation state has changed using the received stool state value.

The present invention has been described with reference to the embodiments shown in the drawings, but these are merely exemplary, and those of ordinary skill in the art will appreciate that various modifications and equivalent other embodiments are possible therefrom. Therefore, the true technical protection scope of the present invention should be determined by the technical spirit of the appended claims.

For example, in the present invention, it has been described that the server 20 generates the bowel status information, but the automatic feces processing apparatus 10 may generate the bowel status information. In more detail, the automatic feces processing apparatus 10 generates stool status values using bowel information corresponding to a plurality of bowel events, and compares the generated stool status values to determine whether the user's bowel status has changed. I can confirm. As a result of the confirmation, when the bowel movement status has changed, the automatic excrement processing device 10 can check whether the user's medication history has changed by comparing the first medication details received from the medication information registration device 30 and the second medication details. have. As a result of the confirmation, when the medication history is changed, the automatic excrement processing device 10 may generate bowel status information (or patient status information) and transmit it to one of the medication information registration device 30 and the diet information registration device 40. .

Claims (10)

A process of receiving a plurality of bowel information corresponding to a plurality of points of time of a plurality of bowel events from the automatic feces processing device, and
Comparing a plurality of stool state values corresponding to the defecation events to check whether the user's defecation state has changed, and
First medication information indicating information on drugs administered to the user during a first time period between the plurality of time points from the medication information registration device and drugs administered to the user during a second time period before the first time period The process of receiving the second dosage information indicating the information of,
Comparing the first dosage information and the second dosage information to check whether the user's dosage information is changed, and
When the medication information is changed, the method of transmitting patient status information from a server comprising generating patient status information indicating that the bowel status of the user has changed and transmitting it to one of the medication information registration device and the diet information registration device.
The method of claim 1,
The process of checking whether the bowel movement status has changed,
Receiving from the diet information registration device first diet information indicating information of food consumed by the user during the first time period and second diet information indicating information about food consumed by the user during the second time period Process,
Estimating the stool state values using the first diet information and the second diet information,
And comparing the stool state values to determine whether the defecation state has changed.
The method of claim 2,
A process of estimating a stool condition value using the first diet information,
A process of determining a difference value between the set stool state value and the estimated stool state value by comparing a pre-set stool state value and the estimated stool state value corresponding to the first diet information,
Generating a backpropagation value in which a difference between the set credit status value and the estimated credit status value is minimized based on the difference value;
The method of transmitting patient state information from the server, further comprising performing machine learning such that a difference between the set defecation state value and the estimated defecation state value based on the backpropagation value is minimized.
The method of claim 1,
The process of checking whether the bowel movement status has changed,
Generating the stool state values by analyzing a plurality of stool images included in the bowel information,
And comparing the stool state values to determine whether the defecation state has changed.
The method of claim 1,
The process of checking whether the bowel movement status has changed,
A process of transmitting a plurality of stool images included in the bowel information to a terminal of an expert,
In response to the transmission, receiving the stool condition values corresponding to the bowel movement information,
And comparing the stool state values to determine whether the defecation state has changed.
Transmitting and receiving module; And
Receives a plurality of bowel information corresponding to a plurality of points of time of a plurality of bowel events from the automatic fecal processing device through the transmission/reception module, and compares a plurality of bowel status values corresponding to the bowel events to determine the bowel status of the user Check whether or not the change has been made, and through the transmission/reception module, the first medication information indicating information of the drug administered to the user during the first time period between the plurality of time points and the first time period transfer Receives second dosage information indicating information on the drug administered to the user during the second time period of, and compares the first dosage information with the second dosage information to check whether the user's dosage information is changed, and , When the medication information is changed, a patient in a server including a processing module that generates patient status information indicating that the bowel status of the user has changed and transmits it to one of the medication information registration device and the diet information registration device through the transmission/reception module Devices that transmit status information.
The method of claim 6,
Receiving from the diet information registration device first diet information indicating information of food consumed by the user during the first time period and second diet information indicating information about food consumed by the user during the second time period, and And a neural network module estimating the stool state values by using the first diet information and the second diet information.
The method of claim 7,
The neural network module,
A neural network unit that estimates a defecation state value using the first dietary information, and performs machine learning to minimize a difference between a preset defecation state value and the estimated defecation state value based on a backpropagation value received from a comparison unit ; And
Comparing the set stool state value and the estimated stool state value corresponding to the first diet information to determine a difference value between the set stool state value and the estimated stool state value, and the set based on the difference value An apparatus for transmitting patient state information from a server including the comparison unit generating the backpropagation value in which a difference between the stool state value and the estimated stool state value is minimized.
The method of claim 6,
The processing module is an apparatus for transmitting patient status information from a server, wherein the processing module generates the stool status values by analyzing a plurality of stool images included in the bowel movement information.
The method of claim 6,
The processing module transmits a plurality of stool images included in the bowel movement information to a terminal of the expert through the transmission/reception module, and receives the stool status values corresponding to the bowel movement information in response to the transmission. Device for transmitting patient status information from the server, characterized in that.

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