KR102028692B1 - A method, server and program for management solution of hospital - Google Patents

Abstract

The present invention relates to a hospital operation solution providing method, to a server thereof, and to a program thereof. The hospital operation solution providing method comprises the following steps. A collection unit of the server collects multiple types of patient information and multiple types of hospital information collected through a registration terminal. A statistical unit generates encryption statistical data of multiple hospital operating indexes based on the collected information. A solution derivation unit extracts a first operating index characteristic of a first hospital by comparing with a first operating index of the first hospital based on the encryption statistical data. And the solution derivation unit determines solution data matching the first operating index characteristic.

Description

How to Deliver Hospital Operations Solutions, Servers and Programs {A METHOD, SERVER AND PROGRAM FOR MANAGEMENT SOLUTION OF HOSPITAL}

The present invention relates to a method, a server and a program for providing a hospital operation solution.

In general, after the opening of the hospital, the hospital will try to maintain or improve the operation in various fields such as marketing the opening of the area, managing visiting patients, and managing the staff of the medical staff.

However, since most hospitals are not aware of problems, weaknesses, or areas to be improved, they only consume various operating costs and often do not improve their operational status.

Patent Publication No. 10-2013-0007268, (2013.01.18)

The present invention for solving the above problems is to collect a variety of data on the patient, to generate statistical data for various indicators of the hospital, through this to derive a solution for the operation of the hospital, other hospitals Can provide hospital operating solution delivery methods, servers, and programs that can be compared with statistical data to provide the hospital's solutions.

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

According to one or more exemplary embodiments, a method of providing a hospital operation solution according to an embodiment of the present invention includes: collecting a plurality of patient information and a plurality of hospital information collected through a reception terminal of a server, and the statistical unit is Generating cryptographic statistical data of operational indicators of a plurality of hospitals based on the collected information, and the solution deriving unit compares the first operational indicator of a first hospital based on the encrypted statistical data to operate the first operation of the first hospital; Extracting an indicator characteristic, and determining, by the solution derivation unit, solution data matching the first operating indicator characteristic.

In addition, the operating indicators, the patient sex ratio, patient age distribution, the patient's first visit or visit rate, the patient's purpose of visit, the patient's visit route, the number of patients visited, the number of patients returning, the number of patients canceled after receiving the treatment, the average waiting time It may include one or more of the average patient's treatment time, the patient's place of residence or workplace, illness over time, and the patient's score.

In addition, the solution derivation unit, by comparing the operating indicators for the patient visit path of the first hospital with the corresponding encryption statistical data to extract the second operating indicator characteristics, and determines the solution data matching the second operating indicator characteristics, The determined solution data may include one or more types of marketing media, timing of marketing, increase or decrease of marketing cost, and selection of a marketing location.

In addition, the solution derivation unit, using the operation indicators for the patient visit path of the first hospital, calculates the advertising efficiency of each advertisement that the hospital is running, and the advertisement of the advertisements that other hospitals are running through the encryption statistical data In comparison with the efficiency, the third operating index characteristic of the first hospital may be extracted, and solution data matching the third operating index characteristic may be determined.

The solution derivation unit may generate patient distribution statistics from the first hospital by using an operation index of a patient's residential location of the first hospital, and use the effective distance at a point where the distribution of the patients begins to fall below a certain level. It is possible to set and determine the solution data to extend the effective distance.

In addition, the solution derivation unit, by using the operating indicators for the canceled patient after receiving the hospital treatment of the first hospital, if the percentage of the canceled patient increases over the threshold during the first period, the statistical data is analyzed to analyze the facility of the hospital; If there is a problem with at least one of waiting patients or customer service, but the number of visiting patients in the hospital has risen above the critical rate during the first period, it is determined that there is a problem with the hospital facility. When the number of visiting patients in the hospital is below the critical rate and the average waiting time rises above the critical rate during the first period, it is determined that there is a problem in the management of the hospital personnel. The average score for each time unit If it calculated, and the average score during the first period of a decline below the threshold, it can be determined that there is a problem with the hospital's customer-facing services, and derive operational solutions for customer-facing hospital services.

In addition, the hospital operation solution providing server according to an embodiment of the present invention, a collection unit for collecting a plurality of patient information and a plurality of hospital information collected through the reception terminal,

A statistics unit for generating encryption statistical data on operating indicators of a plurality of hospitals based on the information collected through the collection unit, and

And a solution derivation unit configured to extract first operating indicator characteristics of the first hospital based on the encrypted statistical data and to compare solution data matching the first operating indicator characteristics.

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

According to the present invention as described above, since the statistical data is generated using data collected from the patients visiting the hospital, and analyzes it to provide a solution for the situation of the hospital, the weakness, problems of the hospital through the objective information It can provide a solution to solve this problem.

In addition, since the present invention derives a solution by comparing the statistical data of various indicators of the hospital with the statistical data of the other hospital, there is an effect of providing a solution that can improve the shortcomings compared to other hospitals. .

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 operation solution providing server according to an embodiment of the present invention.
2 is a flowchart of a method for providing a hospital operation solution according to an embodiment of the present invention.
Figure 3 is a block diagram of a hospital operation solution providing server according to an embodiment of the present invention.
4 is an exemplary diagram illustrating statistical data for various indicators of a hospital according to an embodiment of the present invention.
5 is an exemplary diagram illustrating an advertisement list managed by the advertisement management module according to an embodiment of the present invention.
6 is an exemplary diagram illustrating that data is stored in a database according to an embodiment of the present invention.
7 is an exemplary diagram illustrating an information request form provided to a company 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.

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

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

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

In general, after the opening of the hospital, the hospital will try to maintain or improve the operation in various fields such as marketing the opening of the area, managing visiting patients, and managing the staff of the medical staff.

However, since most hospitals are not aware of problems, weaknesses, or areas to be improved, they only consume various operating costs and often do not improve their operational status.

Accordingly, the present inventors have devised the present invention to provide an objective and efficient solution to hospitals by analyzing statistical data on hospitals.

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

1 is a schematic diagram of a hospital operation solution providing server 100 according to an embodiment of the present invention.

Referring to Figure 1 will be briefly described for the hospital operation solution providing server 100 according to an embodiment of the present invention.

The server 100 collects a plurality of patient information and a plurality of hospital information through the reception terminal 500 provided in each hospital, and generates statistical data on operating indicators of the plurality of hospitals based on the collected information. To store in the database 130. At this time, the statistical data is generated as encrypted data to be de-identified.

In an embodiment of the present invention, information that may be breached when the information is leaked to the outside, such as the patient's name, is de-identified and stored to enhance security.

In addition, the server 100 analyzes the operation index of each hospital, determines / deduces the solution data necessary for the hospital and provides it to the medical staff client 300 of the hospital.

Hereinafter, the present invention will be described in more detail with reference to other drawings.

2 is a flowchart of a hospital operation solution providing method according to an embodiment of the present invention.

Referring to Figure 2 will be described with respect to the hospital operation solution providing method according to an embodiment of the present invention.

First, the collection unit 110 of the server 100 collects a plurality of patient information and a plurality of hospital information collected through the reception terminal 500. (Step S410)

Next, the statistics unit 120 generates statistical data on operating indicators of the plurality of hospitals based on the information collected through the collection unit 110. (Step S430)

At this time, the encryption statistical data is generated and de-identified in order to protect patient personal information and patient information.

The solution derivation unit 160 extracts characteristics of the first operating index of the first hospital by comparing the first operating index of the first hospital based on the encryption statistical data. (Step S450)

Next, the solution derivation unit 160 determines solution data matching the first operating index characteristic. (Step S470)

In this case, the solution deriving unit 160 may compare the operation statistics of the first hospital with the encryption statistical data collected and generated from another hospital in step S450, and may extract the characteristics of the operation index of the first hospital, Operational indicator characteristics can be extracted by making independent judgments without comparison.

In more detail, the solution deriving unit 160 may analyze the operating index of the first hospital to extract the characteristics of the first operating index of the first hospital and determine the solution data matching the same.

For a more detailed description will be described with the hospital operation solution providing server 100 with reference to the other figures below.

3 is a block diagram of a hospital operation solution providing server 100 according to an embodiment of the present invention, Figure 4 is an exemplary diagram illustrating statistical data for various indicators of the hospital according to an embodiment of the present invention, Figure 5 is an exemplary diagram illustrating an advertisement list managed by the advertisement management module 140 according to an embodiment of the present invention.

3, the hospital operation solution providing server 100 according to an embodiment of the present invention, information collecting unit 110, statistics unit 120, database 130, advertising management module 140, calculating unit 150, a solution derivation unit 160.

The collection unit 110 collects a plurality of patient information and a plurality of hospital information collected through the receiving terminal 500.

The reception terminal 500 refers to a terminal provided in each hospital to assist the treatment, and receives symptom information, patient information, etc. from patients, and inputs diagnostic information, chart information, test information, etc. from the medical staff client 300. I can receive it.

Patient information may include the patient's basic information, family history, past history, surgical history, medication history, previous medical history, various test values, etc. The basic information includes the patient's gender, age, purpose of visit, visit path, address, and workplace. And the like.

And, the receiving unit 500 may further include a receiving unit for receiving a medical information utilization agreement or patient information utilization agreement. Collecting, storing, and utilizing the medical information and the patient information requires the consent of the patient, so that the patient receives the consent through the reception terminal 500.

In more detail, when receiving a consent for utilization through the reception terminal 500 from the patient, the disclosure scope of the information and the disclosure period of the information may be selected. This ensures that information is discarded or closed when the patient's agreed disclosure period expires.

The statistics unit 120 generates encryption statistical data for operating indicators of a plurality of hospitals based on the information collected by the collection unit 110.

Operational indicators included patient sex ratio, patient age distribution, patient first or second visit rate, patient visit purpose, patient visit route, number of patients visited, number of return patients, number of patients withdrawal after receiving treatment, average waiting time of patients, average patient time , Patient's place of residence or work, disease by period, patient's score, and the like, as illustrated in detail in FIG. 4.

Therefore, the statistics unit 120 means that the statistical statistical data for various operating indicators of the hospital is generated using the plurality of patient information and the plurality of hospital information collected through the reception terminal 500.

At this time, the statistical data generated by the statistics unit 120 is not limited to the above items.

The solution deriving unit 160 analyzes the statistical data stored in the database 130, derives an operational solution required for the corresponding hospital, and compares the statistical data of another hospital to derive a management solution required for the corresponding hospital.

In one embodiment, the solution derivation unit 160 extracts the second operating indicator characteristics by comparing the operating indicators for the patient visit path of the first hospital with the corresponding encryption statistical data, and is matched with the second operating indicator characteristics Determine solution data.

In this case, the solution data includes the type of marketing medium, the timing of marketing, the increase or decrease of marketing costs, the selection of a marketing execution location, and the like.

As another example, the solution deriving unit 160 calculates an advertisement efficiency of each advertisement being executed by the hospital by using an operation index on the patient's hospitalization path of the first hospital, and is running by another hospital through encryption statistical data. In comparison with the advertisement efficiency of the advertisements, the third operating indicator characteristic of the first hospital is extracted, and solution data matching the third operating indicator characteristic is determined.

In this case, the matching solution data includes a decrease in line items corresponding to an advertisement efficiency below a threshold, an increase in line items corresponding to an advertisement efficiency above a threshold, a recommendation for a marketing medium having high advertisement efficiency, and a local advertisement having high advertisement efficiency. Recommendations for may be included.

As another example, the solution derivation unit 160 generates patient distribution statistics from the first hospital using operation indicators for the location of the patient's residence in the first hospital, and the distribution point of the patient begins to fall below a certain level. It can be set to the effective distance, and the solution data to extend the effective distance can be determined.

As another example, the solution derivation unit 160 uses the cancel patient statistics after receiving the hospital treatment, and uses the operation index for the canceled patient after receiving the hospital treatment of the first hospital, and the ratio of the canceled patients during the first period is the threshold value. If the increase increases, the statistical data is analyzed to determine that there is a problem with at least one of the hospital's facilities, the number of waiting patients, and customer service.

In this case, when the number of visiting patients in the hospital rises above the critical ratio during the first period, it is determined that there is a problem in the facility of the hospital, and the operation solution for the hospital facility is derived.

In addition, if the change in the number of visiting patients in the hospital during the first period is less than the threshold ratio, and the average waiting time rises above the threshold ratio, it is determined that there is a problem in the management of hospital personnel, and the operation solution for hospital personnel management is derived. do.

If the average score is calculated for each time unit by analyzing the evaluation of patients who visit the hospital, and if the average score decreases below the threshold during the first period, it is determined that there is a problem with the hospital service. Identify operational solutions for hospital customer service.

Hereinafter, a method of deriving various solutions by the solution derivation unit 160 will be described in detail. (Operation solution, management solution, marketing solution, etc.)

In one embodiment, the marketing solution data will be described.

The advertisement management module 140 manages information on advertisements being performed by each hospital.

In more detail, the advertisement management module 140 stores and manages a list of advertisements being performed by the hospital, and stores a unit price required for each advertisement. For example, each advertisement may have a unit price per unit, a unit price for a predetermined period, and the like.

In addition, the solution deriving unit 160 calculates the advertising efficiency of each advertisement being executed by the hospital using the visit path statistics, and derives the marketing solution data.

In more detail, the patient visits the hospital through the reception terminal 500 and receives the visit path information. In this case, the visit path information is an indicator indicating how the patient knows and visits the hospital. For example, it means receiving an acquaintance introduction, subway advertisement, bus advertisement, Naver advertisement, Facebook advertisement, and the like. (The kind of advertisement that brought you to the hospital)

For example, the solution derivation unit 160 calculates the number of patients per unit price of each advertisement through the statistics on the patients who came in due to each advertisement for a certain period of time, and the unit price of each advertisement, From this, the advertisement efficiency of each advertisement can be calculated. The calculator 150 of the server 100 may calculate the advertisement efficiency of each advertisement as described above.

In addition, a marketing solution for changing the advertising method or reducing the weight of advertisements for advertisements having an advertisement efficiency below a threshold is determined, and marketing solution data for increasing the weight of advertisements having high advertisement efficiency is determined to the medical staff client 300. Can provide.

The advertisement list managed by the advertisement management module 140 is illustrated in FIG. 5, and the advertisement means transportation through buses, subways, taxis, and the like, and includes all advertisements executed at the stop of the vehicle or the vehicle. can do.

The Internet advertisement may include all advertisements executed on the Internet, and the advertisement management module 140 may further classify and manage them. For example, you can manage advertisements for each site such as Naver, Facebook, Google, Instagram, and Nate.

Local advertising refers to advertisements performed in a specific region, and generally means advertisements performed in an area near a hospital. For example, it may include banners, flyers, apartment advertisements, and the like.

Smartphone advertisements may include advertisements carried out through various smartphone applications.

In addition, the advertising means that may include the patient's visits, such as newspaper advertisements, hospital homepages, etc. may be included, but it is preferable that such visits are not included because the acquaintance introduction is not a visit.

In one embodiment, the hospital operation solution will be described.

The solution deriving unit 160 uses the cancel patient statistics after receiving the hospital treatment, and when the ratio of the canceled patients increases above the threshold during the first period, analyzes the statistical data to provide the facility, the number of waiting patients, and the client of the hospital. Determine that there is a problem with at least one of the services, and derive an operational solution for the item that is considered to be a problem.

In this case, the first period means a specific period set such as one week, one month, one quarter, and a half year.

Patients who canceled after waiting at the hospital after receiving the treatment at the hospital are deemed to have canceled because the waiting time at the hospital is too long or the medical staff's service is not satisfactory, and the facility of the hospital is narrow or waiting patient. This means determining the number of operating solutions or deriving operational solution data by deciding that the number of customer service is not good. (At this time, it is assumed that only a small number of cases are canceled due to individual circumstances.)

The solution deriving unit 160 determines that there is a problem in the facility of the hospital when the number of visiting patients of the hospital rises above the critical ratio during the first period, and derives (determines) operation solution data for the hospital facility.

Other indicators of the hospital remain intact, and the number of visits to the hospital may increase due to factors such as hospital closures, successful marketing of the hospital, or outbreaks of certain epidemics. In this case, since the number of visiting patients has increased more than the number of patients the hospital can accommodate, it is determined that the solution can be found in the facility management of the hospital.

Therefore, the solution derivation unit 160 determines that there is a problem in the facilities of the hospital or that the number of visiting patients exceeds the number of acceptable patients when the number of visiting patients in the hospital rises above the critical ratio during the first period, and expands the hospital facilities. Deduce (determine) operational solution data for

As another example, the database 130 stores the number of patients that can be accommodated during the first period according to the size of each hospital, and the solution derivation unit 160 has more than the number of patients that can be accommodated in the hospital during the first period. Increasingly, it is possible to derive (determine) operational solution data for expanding hospital facilities.

In addition, the solution deriving unit 160 determines that there is a problem in managing hospital personnel when the change in the number of visiting patients of the hospital during the first period is less than the threshold ratio and the average waiting time rises above the threshold ratio. Derived (determined) operational solution data for management.

For example, if the total number of patients who visited the hospital during the first period has not changed significantly, but the average waiting time has increased significantly, the reason for the patient canceling after reception means that the hospital's manpower management is poor. .

More specifically, when the average waiting time of each treatment subject is compared and the average waiting time of the specific treatment subject is greater than or equal to the threshold, it may be determined that there is a shortage of medical staff in the treatment subject.

Therefore, the solution derivation unit 160 determines that there is a problem in managing the hospital personnel when the change in the number of visiting patients of the hospital during the first period is less than the threshold ratio and the average waiting time rises above the threshold ratio. Statistical data on the average waiting time of each star are used to derive (determine) the operation solution data that the medical staff needs to be expanded for the subjects whose average waiting time is above the threshold.

As another example, the database 130 of the server 100 stores information about the number of doctors and nurses in each hospital, and the patient in charge of the doctor and nurse per patient using statistics of visiting patients in the hospital during the first period. Calculate the number and derive (determine) operational solution data that the number of medical staff needs to be expanded if the number of patients in charge rises above the threshold.

In addition, the solution deriving unit 160 analyzes the evaluation of the patients who visited the hospital to calculate the evaluation score for each predetermined time unit, and when the average evaluation score decreases below the threshold during the first period, there is a problem with the hospitality service of the hospital. It is determined that there is, and the operation solution data for hospital customer service is derived (determined).

The server 100 may further include an evaluation score calculation module 170 that collects an evaluation received from patients who have visited the hospital from the reception terminal 500 and calculates an evaluation score.

In this case, the reception terminal 500 may collect an evaluation of a hospital facility, a medical service, a patient response of a medical staff, etc. from the patients.

In one embodiment, the server 100 may derive (determin) solution data using statistical data on the distance between the residence / work of the patients and the hospital.

The statistical unit 120 generates patient distribution statistics based on the patient's residence or workplace location of the patients in the hospital through the information of the patients collected from the reception terminal 500, and the distribution of the patients falls below a certain level. Set the starting point as the effective distance.

The solution derivation unit 160 derives a solution that can extend the effective distance and provides the solution to the medical staff client 300. For example, it may be a local advertisement outside the effective distance, a hospital shuttle, public transportation route guidance, and the like.

In addition, the server 100 may derive (determine) marketing solution data recommending an advertisement using demographic data around the hospital.

More specifically, the database 130 stores population distribution information around the hospital. In addition, the solution derivation unit 160 extracts information on public transportation methods coming to the hospital from the area where the population is concentrated (area with a certain number of people, for example, a residence such as an apartment), and the corresponding public transportation means. Through the marketing solution data to make an advertisement can be derived (determined).

For example, if there are buses 1111, bus 1112, bus 1114, and subway line 3 from A apartment complex to hospital B, derive marketing solution data for advertising through public transportation. (Can be determined).

In one embodiment, the statistics unit 120 derives one or more representative diseases every certain period of time, through the symptoms or diagnostic information of the patients for each period.

In addition, the solution deriving unit 160 may derive (determine) marketing solution data for marketing the representative disease of each period before each period returns.

For example, the statistics unit 120 deduces A and B diseases as the representative diseases in September, when A and B diseases are the highest in September, and B and C diseases are the highest in October. In this case, diseases B and C are drawn as representative diseases in October. In addition, the solution derivation unit 160 derives (determines) marketing solution data for advertizing A and B diseases in August and provides the medical staff client 300. In addition, the solution deriving unit 160 derives (determines) marketing solution data for advertizing B and C diseases in September and provides the medical team client 300.

Through this, the medical staff client 300 may advance the advertisement for A, B disease in August, thereby inducing the local residents to visit the hospital. (As in the example in September)

For example, diseases that frequently occur in patients by season, quarter, and month, such as a cold and a pandemic, may be applicable.

As another example, the solution deriving unit 160 may control the advertisement management module 140 to perform an advertisement for a representative disease of a next period.

The above-mentioned period of time may be set to use the characteristics of each hospital or medical subject such as monthly, quarterly (four quarters of a year), and seasonally.

In one embodiment, the solution deriving unit 160 may derive (determine) the marketing solution data through the statistical data on the average waiting time for each time zone.

In more detail, the solution derivation unit 160 analyzes statistical data on the number of patients and the average waiting time of each hospital day of the week, time zone, and extracts the number of days or time zones for which the number of patients or average waiting time is less than or equal to the threshold. . In addition, the marketing solution data is derived (determined) and provided to the medical staff client 300 to perform an advertisement recommending a visit on the corresponding day or time.

Through this, the patient is notified of the day or time of day when the average waiting time is low, which prevents the patient from flocking in a specific time zone, so that the facility and manpower of the hospital can be managed efficiently, and the waiting time is short for the patients. Can exert.

In addition, the solution deriving unit 160 operates the recruitment of medical personnel on the day or time of day when the number of patients or the average waiting time is greater than or equal to the threshold using statistical data of the day of the week, the number of visited patients by time zone, and the average waiting time. The solution data can be derived (determined).

In one embodiment, the solution derivation unit 160 may derive (determine) solution data necessary for the corresponding hospital by comparing the statistical data of the various indicators of the hospital with the statistical data of the other hospital.

More specifically, the solution derivation unit 160 includes the statistics of the number of patients in the hospital, the purpose of visit statistics, the visit path statistics, the return patient statistics, the distribution of patients' residence statistics, the evaluation scores of patients, etc. Compared to the data, the hospital can derive (determine) solution data for the numbers below.

For example, the solution deriving unit 160 may derive (determine) marketing solution data recommending advertisements having high advertisement efficiency among advertisements that are performed by other hospitals, using the visit path statistical data.

According to another embodiment of the present invention, the hospital operation solution providing server 100 may collect statistical data of the patient through the measurement data.

The matching unit matches the diagnosis disease name (path code) of the patient with the ruleset list of the database 130 to derive one or more first rulesets matching the patient.

The matching unit matches patient information and medical opinion information with the ruleset list to derive one or more second rulesets matching the corresponding patient.

The monitoring unit analyzes the measurement data for one or more measurement items received from the patient terminal, and monitors whether the patient implements the first rule set or the second rule set.

In this case, the ruleset includes a guideline of the patient's behavior based on the diagnosis disease name, and means the item that the patient needs to pay attention to in order to treat the disease.

The measurement data is biometric information or activity information of a patient measured from a measuring device or wearable device, and the measuring device or wearable device includes a blood glucose meter, a blood pressure meter, a weight meter, a body temperature meter, an inbody, a smart watch, a pedometer, a smart shoe, Smart clothing, smart toothbrushes, and the like.

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

Each rule set has a threshold range, and the monitoring unit of the server 100 analyzes the measurement data for one or more items received from the patient terminal to calculate the score of the corresponding item, and calculates the score for the first rule set or the second. Monitor by comparing with the threshold range of the corresponding ruleset among the ruleset.

In this case, when the calculated score is less than or exceeds the threshold range, the monitoring unit may provide a notification message to the patient terminal to provide a notification message that the guideline is not observed.

More specifically, the server 100 may adjust the threshold range set in the first rule set or the second rule set in consideration of the analysis result of the patient information and the medical opinion information of the patient. Through this, it is possible to monitor the patient by applying a personalized ruleset for each patient.

The medical opinion information includes voice opinion data recorded through the patient terminal, the medical staff terminal, or the reception terminal 500 during the treatment of the patient and the medical staff, and the server 100 analyzes the voice opinion data and analyzes the analysis result. Matching with the ruleset list, one or more second rulesets matching the patient may be derived.

The patient information is matched with the ruleset list, and one or more second rulesets matching the corresponding patient are derived.

The server 100 provides the patient terminal with information about the first rule set, the second rule set, and the threshold range of each rule set, and provides the patient terminal with the monitoring result of the monitoring unit at regular intervals, thereby providing a guideline to the patient. Inform them about whether they are following the guidelines correctly.

The monitoring unit of the server 100 calculates a guide point for each patient of the first set of ruleset or the second set of ruleset means information that the patient keeps the critical range.

For example, if a patient has correctly implemented all the rulesets assigned to him / her for a certain period of time, a guide point may be calculated as 100 points; And, the point may be calculated according to the degree of ruleset implementation of the patient according to the preset criteria.

The statistics unit 120 generates statistical data by calculating average guide points and average guide points of treatment subjects of the patients of the hospital through the information on the guide points of the patients of the hospital.

And, it compares the average guide point of other hospitals and the average guide point of the same treatment subjects, extracts the items that are not enough, and derives (determines) the solution data for strengthening the aftercare service for the patients. 300 may be provided.

This means that when the average guide point is lower than that of other hospitals, it is determined that the guideline according to the diagnosis result is not accurately delivered to the patients, and the medical staff provides a solution to guide the patients accurately.

The role of the hospital and the medical staff is important in treating the patient's illness, but it is also important to take care of the health of the patient himself, and to know and follow the information received from the medical staff. And if a patient does not follow the guideline and there is no illness, the hospital's medical service may make the illness worse. Therefore, following the guidelines and treating the disease correctly will help the operation of the hospital. Because.

According to another embodiment of the present invention, through the reception terminal 500 provided in the medical facility to collect a variety of information of the patient and store in the database 130, the information in the database 130 to process the statistical information After generating and receiving the statistical information request from the client, the statistical information corresponding to the request may be extracted and provided.

Here, the company client may be companies in the medical industry, such as hospitals, health centers, insurance companies, pharmaceutical companies.

Therefore, the present invention can generate statistical data for various indicators of a hospital and analyze the same to derive and provide an operation solution required for a corresponding hospital, and generate statistical information to provide statistical information to a client of a company. .

The receiver receives a consent to use medical information from the patient through the reception terminal 500. In this case, the receiving terminal 500 may be selected to select the disclosure range or disclosure period of the patient's medical information and patient information.

The information collecting unit 110 collects the patient's medical information and the patient information from the reception terminal 500, stores the medical information and the patient information in the data block of the database 130, and sets the block as a usable block.

The statistical information generating module detects the available blocks to extract information, and processes the extracted information to generate and store statistical information.

When the receiver receives the information request from the company client, the statistical information generating module extracts the statistical information corresponding to the request received from the company client and provides the same to the company client.

At this time, the reward providing unit to provide a predetermined reward to the patient including the information in the statistical information.

Since the server 100 may not store the statistical information corresponding to the information requested from the company client in the database 130, the server 100 may generate statistical information according to the request of the company client.

More specifically, the server 100 provides the information request form to the company client, the receiving unit receives the information request form received from the company client.

Information request form can receive information about the disease and symptoms, including the disease code, symptom information, you want to enter, and to limit the statistics group, age, height, weight, occupation, family history, surgery, medication You can also choose an indicator, such as

Then, the statistical information generating module analyzes the information request form received from the company client, checks whether there is a matched statistical information, and if there is a matched statistical information, provides the matched statistical information to the corresponding company client.

In this case, if there is no matching statistical information, the statistical information generating module analyzes the contents inputted in the information request form received from the company client, retrieves and extracts the information corresponding to the information request form from the database 130. After processing the extracted information to generate statistical information, the generated statistical information is provided to the client.

6 is an exemplary diagram illustrating that data is stored in the database 130 according to an embodiment of the present invention, Figure 7 is an exemplary diagram illustrating an information request form provided to a company according to an embodiment of the present invention.

Referring to FIG. 7, the information request form includes one or more request items, and the request items correspond to the purpose of utilizing the statistical information requested by the client of the company. The name, symptom, sex, age, height, weight, occupation, It may include family history, surgical history, drug history, smoking, drinking, various body sizes and the like.

In addition, if it is selected whether or not to include in a specific item of the information summary form, the range can be selected, for example, if the age is selected, the age can be input.

In more detail, for example, when receiving the disease name code 0005 as the name of the disease, and inputting more than 40 years of age, the information of the patients corresponding to the disease name code 0005 can be collected by processing the statistical information.

6, for example, the patient identification number corresponding to the disease name 0005 is 0001, 0004, 0007, of which patients over 40 years of age is 0004 patients, so extract the data block to be used for statistical information processing Can be.

As another example, when a request for a correlation between a specific disease name, family history, surgery history, and social history is requested through an information request form, the statistical information generation module uses information on the family history, surgery history, occupation, etc. of the patients corresponding to the disease name. Process statistical information on the relationship between illness, family history, surgery history, and social history.

As another example, when receiving a request for improvement according to patient information for a specific disease name through an information request form, the statistical information generation module selects patients who have been treated more than twice with the disease name among the patients corresponding to the disease name. According to the patient information, information about the roadway (improved or worsened) of the disease is extracted and processed into statistical information.

As another example, when receiving a result of a surgery for a particular disease through the information request form, the statistical information generating module extracts information about the patients who have been operated on the disease name, the success of the operation, before and after surgery Statistical information is processed through the patient's condition.

At this time, the statistical information generation module may calculate the health score of the patient through the patient information before the operation of each patient, and calculate the score for the success of the operation according to the health score, the postoperative health status.

As another example, when a correlation between a specific disease name and smoking or drinking is requested through an information request form, the statistical information generation module uses the information on smoking, drinking status, smoking amount, and drinking amount of patients corresponding to the disease name. Process statistical information on the correlation between illness and smoking and drinking.

In addition, since the patient's name is not an important index when processing the statistical information provided to the company client, the database 130 of the server 100 stores the patient's name as a patient identification number instead of the patient's name, thereby encrypting.

In addition, for the security of personal information, the patient's name according to the patient's identification number may be stored and managed separately in the encryption unit of the server 100. In addition, the information management unit may search and modify the name according to the patient identification number only in a specific situation, such as when the information of the patient is changed or needs to be corrected.

As another example, all the information of the database 130 is blinded, and upon receiving a request from a company client, the information may be requested by the encryption unit to proceed with decryption and process statistical information.

Therefore, even if the database 130 is exposed to the outside due to external intrusion and hacking, all information as well as the name of the patient are blinded, thereby preventing the patient information, the treatment information, and the like from being exposed.

In one embodiment, the information management unit may check the number of individual items of each item of information stored in the database 130, and extract an item (under the item) that is less than the average value.

And, the information management unit through the information input through the reception terminal 500, if the patient's medical information, patient information falls under the above items, through the reception terminal 500 for consent to use medical information Provide a request message.

In this case, the request message may be provided including information on the reward additional provision benefit.

For example, if under 50 items are extracted from male 50's, C disease, and B occupation, and A patient visited the medical facility corresponds to male 50's, additional consent is added to the reception terminal 500. A request message may be provided that a reward is provided. Similarly, it can be applied to patients with C disease or B occupation.

Due to such a configuration, the patient corresponding to the under item is provided with a request message that additional rewards are provided to encourage the disclosure of information, thereby exerting the effect of collecting more patient information.

In addition, since it secures information on items that fall short of this, it is possible to solve the imbalance of the information stored in the database 130.

In a further embodiment, the information collecting unit 110 of the server 100 may extract and store naming information of the prescribed medicine according to the medicine prescription of the patient through the receiving terminal 500.

And, if a request for information on the effect of each type of drug for a particular disease from the client through the information request form, the information of patients corresponding to the disease is extracted from the database 130 block, and the drug for each naming of the drug After receiving the prescription, the disease can be quantified for improvement and the statistical information can be processed by calculating the points for the medicine.

In general, even the same drug may have a slightly different component of each drug company, which may be involved in the treatment of patients' disease, so calculating the impact on the patient's disease according to the type of medicine statistical information Can be provided as

In one embodiment, when the server 100 is requested to provide information of a specific patient from a specific medical facility, the server 100 inquires the medical subjects of the medical institution, and if the medical subject is related to an emergency, the patient is determined to be an emergency. do.

Then, the database 130 is searched to extract patient information and medical information stored in the data block of the corresponding patient to provide the medical facility.

Therefore, when the patient is in an emergency, by providing the patient information and medical information when there is not enough room for various tests, it is effective to help resolve the emergency.

The method for providing a hospital operation solution 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 a server which is hardware.

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

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

The steps of a method or algorithm described in connection with an embodiment of the present invention may be implemented directly in hardware, in a software module executed by hardware, or by a combination thereof. The software module 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 realize the present invention in other specific forms without changing the technical spirit or essential features thereof. 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: collecting unit
120: statistics unit 130: database
140: advertisement management module 150: calculator
160: solution derivation unit 170: evaluation score calculation module
300: medical staff client 500: reception terminal

Claims (8)

Collecting a plurality of patient information and a plurality of hospital information collected through the collection terminal of the server;
Generating, by a statistical unit, encryption statistical data of operating indicators of a plurality of hospitals based on the collected information;
Extracting, by a solution derivation unit, a first operating index characteristic of a first hospital based on the encryption statistical data by comparing with a first operating index of a first hospital; And
And determining, by the solution derivation unit, solution data matching the first operating index characteristic.
The solution derivation unit,
By comparing the operating index of the patient hospital path of the first hospital with the corresponding encryption statistical data to extract the second operating indicator characteristics, and to determine the solution data matching the second operating indicator characteristics, the determined solution data is Includes one or more of a kind of marketing medium, timing of marketing, increase or decrease of marketing cost, and marketing position selection.
Using the operation index of the patient hospital path of the first hospital, calculating the advertising efficiency of each advertisement being carried out by the hospital, and compared to the advertising efficiency of the advertising being carried out by other hospitals through the encryption statistical data, Extract the third operating indicator characteristics of the hospital, determine solution data matching the third operating indicator characteristics,
The reception terminal is a terminal provided in each hospital to assist the treatment, and receives symptom information and patient information from patients, and receives at least one of diagnostic information, chart information, and inspection information from a medical staff client.
The statistical unit derives one or more representative diseases every predetermined period of time using symptom information or diagnostic information of the patients collected through the reception terminal,
The solution deriving unit derives marketing solution data for deriving marketing for a representative disease corresponding to each period before the respective periods are returned.
The method of claim 1,
The operating index,
Patient gender ratio, patient age distribution, patient first or second rate, purpose of patient visit, patient visit route, number of patients visited, number of return visits, number of patients withdrawal after treatment, average waiting time of patients, average time of patient A method of providing a hospital operation solution, comprising one or more of a residence or work location, a disease by period, and a patient's score.
delete delete The method of claim 1,
The solution derivation unit,
Generating patient distribution statistics from the first hospital using the operating indicators of the patient's residence location in the first hospital, setting the effective distance at the point where the patient's distribution begins to fall below a certain level, and setting the effective distance How to provide a hospital operations solution that determines the scalable solution data.
The method of claim 1,
The solution derivation unit,
If the percentage of patients withdrawal increased above the threshold during the first period, using the operating indicators for patients with cancellation after receiving hospital treatment at hospital 1, the statistical data were analyzed and the hospital's facilities, number of waiting patients, and customer service. I believe there is a problem with at least one of the services,
If the number of visiting patients in the hospital has risen above the critical rate during the first period, it is determined that there is a problem in the hospital's facilities, the operation solution for the hospital facility is derived,
If the change in the number of visiting patients in the hospital during the first period is below the threshold rate and the average waiting time rises above the threshold rate, it is determined that there is a problem in the management of the hospital personnel, and the operation solution for the hospital personnel management is derived.
Analyzing the evaluation of the patients who visited the hospital, the average score is calculated for each unit of time, and if the average score decreases below the threshold during the first period, it is determined that there is a problem with the hospital service. A method of providing a hospital operating solution that derives an operational solution for hospitality services.
Collecting unit for collecting a plurality of patient information and a plurality of hospital information collected through the reception terminal;
A statistics unit which generates encryption statistical data for operating indicators of a plurality of hospitals based on the information collected through the collection unit; And
It includes a solution derivation unit for extracting the first operating indicator characteristics of the first hospital compared to the first operating indicators of the first hospital based on the encrypted statistical data, and determines the solution data matching the first operating indicator characteristics,
The solution derivation unit,
By comparing the operating index of the patient hospital path of the first hospital with the corresponding encryption statistical data to extract the second operating indicator characteristics, and to determine the solution data matching the second operating indicator characteristics, the determined solution data is Includes one or more of a kind of marketing medium, timing of marketing, increase or decrease of marketing cost, and marketing position selection.
Using the operation index of the patient hospital path of the first hospital, calculating the advertising efficiency of each advertisement being carried out by the hospital, and compared to the advertising efficiency of the advertising being carried out by other hospitals through the encryption statistical data, Extract the third operating indicator characteristics of the hospital, determine solution data matching the third operating indicator characteristics,
The reception terminal is a terminal provided in each hospital to assist the treatment, and receives symptom information and patient information from patients, and receives at least one of diagnostic information, chart information, and inspection information from a medical staff client.
The statistical unit derives one or more representative diseases every predetermined period of time using symptom information or diagnostic information of the patients collected through the reception terminal,
The solution deriving unit derives marketing solution data for deriving marketing for a representative disease corresponding to each period before the respective periods come back, the hospital operation solution providing server.
A program for providing a hospital operations solution, coupled to a computer, which is hardware and stored on a medium for carrying out the method of any one of claims 1, 2, 5 and 6.

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