KR102028685B1 - A method, system and program for brokering hospital work - Google Patents

Abstract

The present invention relates to a hospital business mediation method, which comprises the steps of: receiving reception data of a patient from a reception terminal by a mediation program, and checking whether the mediation program and a chart program are linked; transmitting, by the mediation program, the reception data to the chart program when a chart server is linked with the mediation program; and when the mediation program is not linked with the chart server, inquiring, by the mediation program, information of the patient from the chart server, and automatically inputting the reception data to an input interface of a medical staff client device.

Description

A method, system and program for brokering hospital work}

The present invention relates to a hospital business intermediation method.

In general, in the hospital, doctors and specialists care for patients, and medical staff such as nurses perform hospital reservations, receptions, treatment results, and prescription delivery.

Due to such a large number of diverse tasks, hospitals are crowded and the task is inefficient.

In addition, there is a problem that does not collect the various information about the patients, statistical information of the hospital, do not grasp the problems of the hospital and find no improvement.

Republic of Korea Patent Publication No. 10-2018-0092158, (2018.08.17)

According to the present invention for solving the problems described above, when the mediation program receives the patient's reception data from the Jinryongyo terminal, it checks whether the mediation program and the chart server are interlocked, and if the mediation program is not linked, the reception data of the patient is checked. A hospital business intermediation method may be provided that automatically inputs to an input interface of a clinician client device.

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.

In accordance with an aspect of the present invention, there is provided a hospital business intermediation method comprising: receiving, by an intermediary program, a patient's reception data from a reception terminal, and checking whether the mediation program and a chart server are interworked; When the mediation program is linked with the chart server, the mediation program transmitting the reception data to a chart program, and the chart program transferring the reception data to the chart server; And when the mediation program is not linked with the chart server, information of the patient from the chart server using a database access authority of the chart server obtained by monitoring the communication between the chart program and the chart server. Acquiring the data and automatically inputting the reception data into an input interface of a medical staff client device, wherein the chart program and the mediation program are installed in the medical staff client device. The chart program is a program for receiving and receiving data by communicating with the chart server. The chart program is a program provided by a chart server. The mediation program monitors the communication between the chart program and the chart server. It is characterized by obtaining the database access rights of the server.

The automatic input step may further include transmitting, by the mediation program, the acceptance data to the chart program when the acceptance data automatically input from the medical staff is approved.

The mediation program may be collected by monitoring data received through the reception terminal from a patient who has consented to use medical information, information about the patient inquired from the chart server, and communication between the chart program and the chart server. At least one of the information is stored in a database of the server.

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Hospital task intermediation system according to an embodiment of the present invention for solving the above problems is to receive the patient's reception data from the reception terminal, check whether the intermediary program and the chart server interlocked, if the reception data The chart program transmits the reception data to the chart server, if it is not linked, inquires the patient's information from the chart server, and automatically receives the reception data through the input interface of the medical staff client device. And a mediation program for inputting, wherein the chart program and the mediation program are installed in the medical staff client device, the reception terminal receives information for hospital work, and the chart program communicates with a chart server to transmit and receive data. Program , And the program providing server on the chart, the mediation program is characterized in that for obtaining a database of the access server chart to monitor the program chart, and the chart of the communication server.

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 service intermediation program according to another embodiment of the present invention is combined with a computer which is hardware to execute the above-mentioned hospital service intermediation method and is stored in a medium.

According to the present invention as described above, the intermediary program automatically inputs the patient's reception data received from the reception terminal into the chart program, thereby increasing the work efficiency of the medical staff client device.

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 hospital business intermediation method according to an embodiment of the present invention.
2A and 2B are a flow chart of a hospital business mediation method according to an embodiment of the present invention.
3 is an exemplary diagram illustrating providing a reservation message to a medical staff client device according to an embodiment of the present invention.
4 to 6 is an exemplary view illustrating a questionnaire item of the questionnaire chart generated according to the symptoms of the patient according to an embodiment of the present invention.
Figure 7 is a graph illustrating the measurement data for the patient's hourly moving speed, heart rate.
8 is a flowchart of a method for providing hospital care aftercare service according to an embodiment of the present invention.
9 is a ruleset list according to a disease name code according to an embodiment of the present invention.
10 is a ruleset list according to patient information according to an embodiment of the present invention.
11 is a ruleset list according to the medical opinions according to an embodiment of the present invention.
12 is an exemplary diagram illustrating an item of each ruleset according to an embodiment of the present invention.
13 is an exemplary diagram illustrating that the first rule set, the second rule set derived according to an embodiment of the present invention.
FIG. 14 is an exemplary view illustrating the actual application of the first rule set or the second rule set of FIG. 7. FIG.
15 is an exemplary diagram illustrating monitoring a patient by analyzing measurement data.
16 is a block diagram of a hospital business intermediation system 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.

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 device 700 may be a medical staff computer, terminal, program, or the like. As a representative example, the clinician client device 700 may be a computer used by a nurse in a hospital.

Questionnaire chart 120: The questionnaire table is online and can be entered through a computer system, the medical staff to refer to the diagnosis of the patient's family history, past history, lifestyle, emotional state, physical activity, etc. It means to carry out to find out.

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.

Chart server 900: refers to a server (100) that the chart is digitized and stored by the electronic medical record (EMR), and stores the information, medical information, medical information, various test results, etc. Means the server 100.

In general, in the hospital, doctors and specialists care for patients, and medical staff such as nurses perform hospital reservations, receptions, treatment results, and prescription delivery.

Due to such a large number of diverse tasks, hospitals are crowded and the task is inefficient.

In addition, there is a problem that does not collect the various information about the patients, statistical information of the hospital, do not grasp the problems of the hospital and find no improvement.

Accordingly, the present inventors have devised the present invention to solve the above problems.

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

1 is a schematic diagram of a hospital business mediation method according to an embodiment of the present invention, Figures 2a and 2b is a flow chart of a hospital business mediation method according to an embodiment of the present invention, Figure 3 is a medical staff client according to an embodiment of the present invention An example diagram illustrating providing a reservation message to the device 700.

With reference to Figures 1 to 3 will be described in another hospital business intermediary method in an embodiment of the present invention.

In an embodiment of the invention, the chart program 160 and the mediation program 170 are programs installed on the clinician client device 700.

In addition, the chart program 160 is a program that communicates with the chart server 900 to transmit and receive data, and generally means a program provided by the chart server 900.

The reception terminal 600 receives information for hospital duties, and more specifically, a terminal provided in a hospital receives various information from a patient and a medical staff, and receives a medical examination, a questionnaire, a questionnaire chart 120, and the like. You can also type

Intermediary program 170 is a program provided by the hospital work brokerage server 100 according to an embodiment of the present invention, by solving a variety of business inconveniences that may occur when not linked to the chart server 900 of the medical staff It plays a role to increase work efficiency.

Figures 2a and 2b is a flow chart of the hospital business intermediation method according to an embodiment of the present invention, Figure 2b is a view showing in more detail Figure 2a.

First, the intermediary program 170 receives the patient's reception data from the reception terminal 600, and checks whether the intermediary program 170 and the chart program 160 are interlocked. (Step S550)

The server 100 undergoes an interoperability check step, and the following steps are different depending on whether the interlock is checked.

When the intermediary program 170 and the chart program 160 are linked, the intermediary program 170 transmits the received data to the chart program 160. (Step S560)

In addition, the chart program 160 communicates with the chart server 900 to transmit the reception data.

When the intermediary program 170 and the chart program 160 are not linked, the intermediary program 170 inquires the patient's information from the chart server 900 and automatically inputs the reception data into the input interface of the medical team client. . (Step S570)

Next, when the acceptance data automatically input to the input interface from the medical staff is approved, the intermediary program 170 transmits the reception data to the chart program 160, and the chart program 160 communicates with the chart server 900 to receive the data. It will transmit data. (Step S580)

In this case, the input interface may be a program, a module, a keyboard, a mouse, a screen, an input terminal of the medical staff client device 700, and the like.

In addition, as illustrated in FIG. 2B, the mediation program 170 monitors the communication between the chart program 160 and the chart server 900 to obtain access authority of the database 110 of the chart server 900.

In addition, the mediation program 170 communicates the data received from the patient agreeing to the use of medical information through the terminal, the patient's information retrieved from the chart server 900 and the chart program 160 and the chart server 900. At least one of the information collected by monitoring is stored in the database 110 of the server 100.

Therefore, since the intermediary program 170 continuously monitors the communication between the chart program 160 and the chart server 900 and collects data, even after the patient information is inquired and the reception data is transmitted, the medical contents, the medical results, Data such as patient information is checked and stored in the database 110 of the server 100.

At this time, since patient information, medical information, and the like belong to sensitive information as personal information and medical information, the server should perform the corresponding operations only when the patient agrees to use patient information and consent to use medical information. .

More specifically, an embodiment of the present invention may further implement the following steps to build a system for informed consent.

Receiving unit of the server 100 receives a consent to use the medical information from the receiving terminal 600, receiving the selection of the patient's medical information and the patient's information and the disclosure period from the receiving terminal 600, collecting information And collecting the patient's medical information and the patient's information from the additional reception terminal, storing the patient's medical information and the patient's information in a data block of the database, and setting the corresponding block as an available block.

Although it may be performed including the above configuration and steps, each time the patient visits the hospital may be performed to receive the consent through the receiving terminal 600. In order to collect patient information and medical information as described above, the consent of the patient is essential, but the process of obtaining consent from the patient may vary slightly depending on the practice of the invention, so that the implementer of the invention may easily select it.

As such, in the hospital, a terminal 600 is arranged to receive various information, reception data, etc. from the patients, or to assist the medical staff, and various information including the reception data from the patients. After receiving the input, the mediation program 170 mediates the work process, thereby serving to assist the medical staff.

In addition, when the hospital medical appointment information is loaded from the patient terminal 500, as shown in Figure 3, the intermediary program 170 loads the information of the reservation patient, generates a reservation message of the patient to provide to the medical staff client device 700 do.

If the reservation message is approved from the medical staff client device 700, the patient's status information is updated to confirm the reservation, and if the reservation message is disapproved from the medical staff client device 700, the intermediary program 170 checks the reservation of the hospital. At least one recommended reservation time is derived based on the reception status and provided to the patient terminal 500.

According to an exemplary embodiment of the present invention, aftercare, treatment, and hospitalization of patients may be provided using data stored in the database 110, and after treatment, statistical information may be processed to provide various information for improving the operation of a hospital. You may. This is discussed in more detail below.

4 to 6 is an exemplary diagram illustrating a questionnaire item of the questionnaire chart 120 generated according to the symptoms of the patient according to an embodiment of the present invention, Figure 7 is a measurement data for the patient's time-specific movement speed, heart rate It is an example graph.

In the past, when a patient receives a medical examination in a hospital, a questionnaire can be prepared directly or a questionnaire can be directly communicated with a medical staff, and the family history, past history, drug administration, drinking, smoking, activity status, mood state, body It conveys information about status, etc.

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, according to an embodiment of the present invention, the present invention generates a questionnaire chart 120 according to the symptoms of the patient in the process of receiving the treatment of the patient, and through the collected measurement data of the patient of the questionnaire chart 120 The questionnaire may be input and provided to the medical staff client device 700.

The automatic reception of the data input step (S570 step) described above may include the following steps.

Intermediary program 170 detects the patient's hospital reception event through the reception terminal 600 (step S571)

Step in which the questionnaire chart generation unit 115 matches the questionnaire list stored in the database 110 with the symptom information of the patient, and generates a questionnaire chart 120 including questionnaire items matched to the patient (step S573).

Analyzing the measurement data for one or more measurement items received from the patient terminal 500, and inputting the response data corresponding to the questionable items that can be input using the measured data among the questionnaire items (S575).

Receiving the patient to the server 100, and providing the medical chart client 120 of the hospital completed the input questionnaire chart (step S577)

More specifically, in the step of generating the questionnaire chart 120, the server 100 may receive information about 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.

In more detail, in the database 110 of the server 100, a questionnaire list including a plurality of questionnaire items is stored, and a corresponding symptom and disease name are assigned to each questionnaire item data.

Accordingly, the matching unit 135 of the server 100 matches the questionnaire list including the plurality of questionnaire items with the symptom information of the patient, and selects the corresponding questionnaire items to generate the questionnaire chart 120.

The paperweight chart 120 generated through such processes is illustrated in FIGS. 4 through 6.

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 vary depending on the type and situation of the device paired with the terminal of the patient.

In this case, the measurement data includes biometric information or activity information of a patient measured from a measuring device or wearable device, and the measuring device includes a blood glucose meter, a blood pressure meter, a weight meter, an inbody, a smart watch, a pedometer, a smart shoe, and a smart garment. At least one of the smart toothbrush.

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 125 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 130 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, the analysis unit 125 of the server 100 has a blood sugar questionnaire item for the blood sugar change trend of the patient during the first period among the questionnaire items of the questionnaire chart 120, and the measurement item for the blood sugar is measured among the measurement data. If any, the blood glucose measurement data for the first period of the patient is analyzed to input answer data into the blood glucose questionnaire item.

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 125 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 sugar measurement data for the first period of the patient deviates from the normal range, the analysis unit 125 of the server 100 inputs response data such as "hypoglycemia" or "hyperglycemia" into the blood glucose questionnaire item, and the first data. Average blood glucose levels over time, graphs of blood sugar trends, etc. can be generated and attached to the answer data.

As another example, when the analysis unit 125 of the server 100 has a weight questionnaire item that asks the weight of the patient for the first period of time among the questionnaire items of the questionnaire chart 120, and there is a measurement item for weight in the measurement data. In addition, the weight measurement data is analyzed during the first period of the patient to input answer data in the weight questionnaire.

More specifically, the analysis unit 125 of the server 100, the response data of "normal" to the weight questionnaire item, if the weight change falls within the preset range as a result of the analysis of the weight measurement data for the first period of the patient 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 125 of the server 100 is in the physical activity questionnaire question about the physical activity of the patient during the first period among the questionnaire items of the questionnaire chart 120, and measures the steps of the patient from the measurement data, If there is a measurement item for heart rate, etc., 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 one embodiment, the answer data input step (step S575), the analysis unit 125 of the server 100 analyzes the patient information of the patient stored in the database 110, of the questionnaire items of the questionnaire chart 120 The method may further include inputting answer data corresponding to an input questionnaire item.

At this time, the patient information is stored in the database 110 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 120, the analysis unit 125 of the server 100 analyzes the patient information of the corresponding patient and inputs the response data into the family history questionnaire item.

In addition, when there is a history questionnaire item among the questionnaire items of the questionnaire chart 120, the analysis unit 125 of the server 100 analyzes the patient information of the corresponding patient and inputs answer data in the history questionnaire item.

At this time, since it may be meaningless to input all the past history of the patient, the database 110 of the server 100 is stored the data about the association between the subject, symptoms, disease name, and analyzes 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 120, the analysis unit 125 of the server 100 analyzes the 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 125 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 one embodiment, answer data input step (S575 step), the analysis unit 125 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 method may further include a step of inputting answer data corresponding to a questionnaire item that can be input among the questionnaire items of the questionnaire chart 120.

In more detail, the analysis unit 125 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 125 of the server 100 uploads the photo, video, post, the patient uploaded 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 125 of the server 100, if there is a life pattern questionnaire item to question about the patient's life pattern during the first period of the questionnaire chart 120, the first patient of the patient Analyze the SNS account of the patient during the period to calculate the life pattern score, and input the calculated score as the answer data.

In addition, the analysis unit 125 of the server 100, if there is a questionnaire for drinking or smoking among the questionnaire items of the questionnaire chart 120, if it is determined that the drinking or smoking history exists by analyzing the SNS account of the patient Check for drinking, smoking or smoking questions.

The medical staff client device 700 may receive the questionnaire chart 120 from which the input is completed 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 input from the patient.

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 125 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 125 of the server 100 may derive the daily activity amount of the patient through the calculated information about the daily number of steps and the exercise time.

This is illustrated in FIG. 7. Figure 7 is a graph illustrating the measurement data for the patient's hourly movement speed, heart rate.

Referring to FIG. 7, 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 125 of the server 100 may calculate measurement daily consumption 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 125 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.

In addition, the analysis unit 125 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 to the paperweight chart 120.

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 120 to analyze the body fat amount, obesity value, abdominal obesity value, body balance, etc. of the patient. If a certain element is out of the standard range, input the answer data that there is a problem with that 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.

If there is a sleep pattern questionnaire item among the questionnaire items of the patient's questionnaire chart 120, the analysis unit 125 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 125 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 125 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 125 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 125 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 125 of the server 100 analyzes the meal image and infers a dish included in the meal image, matches whether the dish contains spicy or salty foods, and matches the eating habits of the patient. Answer data can be generated and entered.

At this time, the database 110 of the server 100 may store a list of spicy food, salty food and the like to match.

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 125 of the server 100 analyzes the measurement data as described above when a patient reserves and receives a medical examination at a dentist, and generates and inputs answer data about a brushing cycle in the patient on the questionnaire chart 120. have.

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 analysis unit 125 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 125 of the server 100 is a patient who re-visits the same symptoms within a certain period of time, the patient who schedules and receives the medical treatment, and the questionnaire chart 120 at the last medical treatment of the patient Comparing each questionnaire item of the current questionnaire chart 120, a change point may be derived and input to the questionnaire chart 120.

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

8 is a flowchart of a method for providing hospital care aftercare service according to an embodiment of the present invention, FIG. 9 is a ruleset list according to a disease name code according to an embodiment of the present invention, and FIG. 10 is a patient according to an embodiment of the present invention. 11 is a list of rulesets according to the information, and FIG. 11 is a ruleset list according to the medical opinions according to an embodiment of the present invention, and FIG. 12 is an exemplary view illustrating items of each ruleset according to an embodiment of the present invention.

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.

Embodiments for providing a hospital after-sales service according to an embodiment of the present invention, the steps performed after the treatment of the patient and the medical staff, and relates to a method for managing the patient after the treatment, including the following steps.

The matching unit 135 of the server 100 matches the diagnosis disease name of the patient with the ruleset list stored in the database 110 to derive one or more first rulesets matching the corresponding patient. (Step S610)

More specifically, when the matching unit 135 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, the medical chart may be received or loaded from the medical staff client device 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 135 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.

The ruleset includes guidelines such as blood pressure, smoking cessation, alcohol, walking, exercise, weight, diet, pulse rate, blood sugar, and sleep patterns.

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 135 of the server 100 matches patient information and medical opinion information with the ruleset list to derive one or more second rulesets matching the corresponding patient. (Step S630)

When the matching unit 135 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 125 of the server 100 analyzes the medical chart information and the voice finding data, and the matching unit 135 matches the analysis result with the ruleset list and matches the patient. One or more second rulesets are derived.

In the patient information matching step (S637), the matching unit 135 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 125 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 125 of the server 100 analyzes the medical chart and the voice findings data, and there is a finding about the physical activity (walking) in the medical chart or the voice finding, the medical opinion about the 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 140 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 110 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 questionnaire chart generation unit 145 of the server 100 determines the threshold range of the first rule set or the second rule set in consideration of the result of the analysis unit 125 analyzing the patient information and the medical opinion information. It means to regulate.

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 questionnaire chart generation unit 145 of the server 100 according to an embodiment of the present invention is trained to adjust each rule set of the ruleset list according to patient information and medical opinion information.

In operation S650, the analysis unit 125 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 150 of the server 100 may determine the patient. To provide a notification message to the terminal 500.

In this case, the notification providing unit 150 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 100 may transmit a message to the patient through the corresponding 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.

In addition, the information providing unit 155 of the server 100 further includes 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 155 ) Is characterized in that to provide a monitoring result of the monitoring unit 140 to the patient terminal 500 at regular intervals.

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 125 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 140 of the server 100, if the patient receives the re-care in the same name, characterized in that to provide the medical staff client device 700 with the monitoring results from the time of the last medical care to the re-care time do.

FIG. 13 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. 14 is an exemplary diagram illustrating the actual application of the first rule set or the second rule set of FIG. 7. 15 is an exemplary diagram illustrating monitoring a patient by analyzing measurement data.

Referring to FIG. 13, height, weight, waist circumference, occupation, family history, surgery history, and past history are displayed as patient information of Hong Gil Dong.

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, the matching with the ruleset list of FIGS. 9 to 12 will be exemplified.

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.

In addition, detailed information and threshold ranges of the first rule set and the second rule set are illustrated in FIG. 14.

As described above, in the first rule set and the second rule set in FIG. 14, the questionnaire chart generator 145 adjusts the threshold range in consideration of the analysis result of the patient information and the medical opinion information.

At this time, if there is a rule set in which the items overlap among the rule sets of the first rule set and the second rule set, the monitoring unit 140 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. 14, although the rulesets B and C are included in both the first and second rulesets, respectively, the rulesets B and C are monitored in comparison with the threshold range of the second ruleset.

In addition, FIG. 15 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 150 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 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.

In addition, when the heart rate of the patient and one or more other factors increase at the same time, the analyzing unit 125 of the server 100 may calculate the number of steps or the exercise time by determining that the patient is exercising at the corresponding 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 125 of the server 100 may derive the daily activity amount of the patient through the calculated information about the daily number of steps and the exercise time.

In addition, the analysis unit 125 of the server 100 may calculate measurement daily consumption 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 125 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 125 of the server 100 may analyze the sleep pattern data, and the monitoring unit 140 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 125 of the server 100 may analyze the meal image of the patient received from the patient terminal 500 and the time when 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 125 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 125 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 125 of the server 100 analyzes the meal image and infers a dish included in the meal image, matches whether the dish contains spicy or salty foods, and matches the eating habits of the patient. It can also be monitored.

In this case, the database 110 of the server 100 may store a list of spicy food and salty food 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 125 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 125 of the server 100 uploads the photo, video, post, the patient uploaded 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, when the analysis unit 125 of the server 100 analyzes the SNS activity information, and it is determined that the patient has smoked, has been drinking, 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.

16 is a block diagram of a hospital business intermediation system 10 according to an embodiment of the present invention.

Referring to FIG. 16, the system includes a clinician client device 700 and a server 100.

In addition, the server 100 includes a chart program 160, an intermediary program 170, a database 110, a paperweight chart generator 115, an analyzer 125, an input unit 130, a matching unit 135, and monitoring. The unit 140, the questionnaire chart generation unit 145, the notification providing unit 150, and the information providing unit 155, the medical staff client device 700, the mediation program 170 and the chart program 160 is installed It is. In addition, the reception terminal 600 further includes.

The reception terminal 600 is a terminal provided in a hospital and receives information for hospital work.

The medical staff client device 700 is provided with a chart program 160 and an intermediary program 170 for communicating with the chart server 900 to transmit and receive data.

The mediation program 170 receives the patient's reception data from the reception terminal 600, and checks whether the mediation program 170 and the chart program 160 are interlocked.

In addition, the intermediary program 170 transmits the received data to the chart program when interworked with the chart program 160.

In addition, the intermediary program 170 inquires the patient's information from the chart server 900 when the hospital and the chart program 160 are not linked, and automatically receives the received data through the input interface of the medical team client device 700. do.

The mediation program 170 transmits the reception data to the chart program 160 when the reception data automatically input from the medical staff to the input interface is approved.

In addition, the mediation program 170 monitors the data received through the reception terminal from the patient who has consented to use the medical information, the patient's information and the chart program and the communication of the chart server 900 inquired from the chart server 900. At least one of the collected information is stored in the database 110 of the server 100.

In this case, the intermediary program 170 may monitor the communication between the chart program 160 and the chart server 900 to obtain a database access right of the chart server 900.

Other components are omitted because overlapping only because the hospital business intermediation method and the category of the invention described with reference to FIGS. 1 to 15 above.

The hospital business intermediation method according to an embodiment of the present invention described above may be implemented as a program (or an application) and stored in a medium to be executed in combination with the server 100 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
110: database 115: paperweight chart generation unit
120: paperweight chart 125: analysis unit
130: input unit 135: matching unit
140: monitoring unit 145: threshold range adjusting unit
150: notification providing unit 155: information providing unit
160: chart program 170: intermediary program
400: hospital server 500: patient terminal
600: reception terminal 700: medical staff client device
900: chart server

Claims (6)

Receiving, by the intermediary program, the patient's reception data from the reception terminal, and checking whether the intermediary program is linked with the chart server;
When the mediation program is linked with the chart server, the mediation program transmitting the reception data to a chart program, and the chart program transferring the reception data to the chart server; And
When the intermediary program is not linked with the chart server, the intermediary program obtains the information of the patient from the chart server by using the database access authority of the chart server obtained by monitoring the communication between the chart program and the chart server. Acquiring and automatically inputting the reception data into an input interface of a medical staff client device;
The chart program and the mediation program are installed on the medical staff client device,
The reception terminal is to receive information for hospital work,
The chart program is a program that communicates with the chart server to transmit and receive data received by the chart server,
The mediation program monitors the communication between the chart program and the chart server, characterized in that to obtain the database access rights of the chart server, hospital business brokerage method.
The method of claim 1,
The automatic input step,
And transmitting the acceptance data to the chart program by the mediation program, if the reception data automatically input from the medical staff is approved.
The method of claim 1,
The mediation program,
At least one of data received through the reception terminal from a patient who has consented to use medical information, information of the patient inquired from the chart server, and information collected by monitoring the communication between the chart program and the chart server may be used. Hospital operation intermediary method, characterized in that stored in the database.
delete Receives the patient's reception data from the reception terminal, checks whether or not the intermediary program and the chart server is interlocked, and if interlocked, transmits the reception data to the chart program so that the chart program transmits the reception data to the chart server. A mediation program for inquiring the patient's information from the chart server if not linked, and automatically inputting the reception data to an input interface of a medical staff client device;
The chart program and the mediation program are installed on the medical staff client device,
The reception terminal is to receive information for hospital work,
The chart program is a program that communicates with the chart server and transmits and receives data. The chart program is provided by the chart server.
The mediation program monitors the communication between the chart program and the chart server, characterized in that to obtain the database access rights of the chart server, hospital business intermediary system.
A hospital affairs intermediary program, coupled with a computer, which is hardware, stored on a medium for carrying out the method of claim 1.

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