KR20160140046A - Method and apparatus for estimating importance factor of each occurring factor of specific disease - Google Patents

Abstract

Provided is a method and apparatus for evaluating importance of risk factors of a disease, which can identify an effective target risk factor of a disease in order to mitigate severity of a patient having a specific disease. According to an embodiment of the present invention, provided is the method for evaluating importance of risk factors of a disease, the method comprising the steps of: generating one or more risk factor pairs each composed of two risk factors selected from among a plurality of risk factors of a disease; for each of the risk factor pairs, mapping past patient data of the disease onto a plane in which each of corresponding risk factors is set for one axis, determining a boundary line on the plane based on severity of each patient, and generating a weight for each of the risk factors by using a slope of the boundary line; and determining importance of each of the corresponding risk factors by using the weight of each of the corresponding risk factors generated in each of the risk factor pairs.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method and apparatus for assessing the importance of an onset risk of a disease,

The present invention relates to a method and apparatus for assessing the importance of an onset risk of a disease. More specifically, the importance of each onset risk factor of the disease to the patient is evaluated based on the result of the examination for the patient of the specific disease, and the personalized prescription is provided to the patient using the importance of each evaluated risk factor And to a device therefor.

Depending on the individual characteristics of the patient, the severity of the illness and the disease of the patient, the improvement effect may vary depending on the item of the prescription. For example, a patient with a particular disease of a certain severity may be the most effective at improving the severity of the disease. However, differences in these personal and disease-related differences are not adequately reflected in the prescription, and prescriptions are being made based only on the doctor's experience.

Accordingly, in the case of generating a prescription, provision of a technique capable of providing additional information on the degree of importance of each item in order to improve the disease severity of the patient, if the prescription is made for a plurality of items Is requested.

Korea Patent No. 2012-0119145 Korean Patent Publication No. 2014-0068727 Korean Patent No. 1175548

It is a technical object of the present invention to provide a method and apparatus for evaluating the importance of at least some selected risk factors among a plurality of risk factors for a specific disease.

Another technical problem to be solved by the present invention is to provide a method of evaluating the importance of each risk factor, which indicates whether it is effective to ameliorate any of the risk factors of the disease to improve the severity of the patient afflicted with the specific disease, Device.

Another technical problem to be solved by the present invention is to provide a method and apparatus for providing a personalized prescription using the importance of each risk factor.

The technical objects of the present invention are not limited to the above-mentioned technical problems, and other technical subjects not mentioned can be clearly understood by those skilled in the art from the following description.

According to an aspect of the present invention, there is provided a risk factor importance evaluation method comprising: generating at least one risk factor pair consisting of two risk factors among a plurality of risk factors of a disease; Mapping the past patient data of the disease on a plane with each risk factor as an axis, determining the border on the plane based on the severity of each patient, and using the slope of the border Generating a weight for a risk factor, and using the weight of each risk factor generated in each risk factor pair to determine the importance for each risk factor.

In one embodiment, the risk factor importance assessment method further comprises obtaining a severity of the subject patient. At this time, the past patient data of the disease consists of past patient data having a severity of the subject patient and past patient data having a severity one stage of the subject's patient's severity than the severity of the subject patient.

In one embodiment, generating a weight for each risk factor comprises scaling the values of the first and second axes of the plane based on the severity. In this case, the step of scaling may include the steps of: obtaining first data on a relationship between a risk factor and a severity of the first axis; calculating a risk factor value of a first axis at a time when the severity is deteriorated by one step, Obtaining a data on a relationship between a risk factor and a severity of the second axis and a risk factor value of a second axis at a time point when the severity is deteriorated by one step from the second data, To the reference value of the axis. At this time, the reference value of the first axis and the reference value of the second axis may be arranged at the same interval.

In one embodiment, the risk factor importance assessment method further comprises determining importance for each of the risk factor pairs. In this case, the step of determining the importance of each of the risk factors may include calculating the importance of each risk factor by summing the weights of the risk factors generated in each pair of risk factors, reflecting the importance of each risk factor pair And a step of deciding whether or not to perform a search. The step of determining importance for each of the pair of risk factors may further comprise the steps of: mapping the past patient data of the disease on the plane of the pair of risk factors to points of different severity Calculating a sharpness indicating a degree of division, and determining the importance of the pair of risk factors higher as the sharpness is higher. In this case, calculating the degree of division of the severity points based on the boundary line may include calculating a difference between the points mapped to the opposite severity area based on the boundary line, Counting the number of the counted points, and determining the sharpness to be lower as the counted number of points increases.

According to another aspect of the present invention, there is provided a personalized risk factor assessment method comprising the steps of: generating a pair of risk factors consisting of two risk factors among a plurality of risk factors of a disease; Mapping the past patient data and subject patient data of the disease on a plane with each risk factor as one axis, determining the perimeter of the plane based on the severity of each patient, Generating a weight for each risk factor using the shortest distance on the first axis and the shortest distance on the second axis with respect to the boundary of the point at which the risk point is generated and using the weight of each risk factor generated in each risk factor pair , And determining the importance for each risk factor. The past patient data of the disease may consist of data of the patient with the severity of the subject patient and data of the patient having the severity of the stage of the subject being one stage less than the severity of the subject patient.

The personalized risk factor importance evaluation method may further include prioritizing the prescription for the target patient using the importance of each of the risk factors. At this time, the prescription for the subject patient includes a medication prescription and a non-medication prescription, and the non-medication prescription may include at least one of an exercise prescription, a dietary prescription, a lifestyle prescription, and a sleep custom prescription. The step of giving priority to the prescription for the subject patient may include a step of automatically deleting the prescription related to the risk factor whose importance level is less than or equal to the reference value in the prescription for the subject patient.

According to another aspect of the present invention, there is provided an apparatus for evaluating a risk factor importance according to another embodiment of the present invention. The apparatus includes a network interface, at least one processor, a memory for loading a computer program executed by the processor, Lt; / RTI > Wherein the computer program is adapted to generate one or more risk factor pairs consisting of two risk factors among a plurality of risk factors of a disease, for each of the risk factor pairs, Mapping the past patient data of the disease, determining the boundary on the plane based on the severity of each patient, and generating a weight for each risk factor using the slope of the boundary, And using the weights of each risk factor generated in the pair to determine the importance for each risk factor.

According to another aspect of the present invention, there is provided an apparatus for evaluating a risk factor importance according to another embodiment of the present invention. The apparatus includes a network interface, at least one processor, a memory for loading a computer program executed by the processor, Lt; / RTI > Wherein the computer program is for generating a risk factor pair consisting of two risk factors among a plurality of risk factors for a disease, for each risk factor pair, Of the subject patient data and the patient patient data and determines a boundary line on the basis of the degree of severity of each patient, the shortest distance on the first axis to the boundary of the point to which the subject patient data is mapped, The operation of generating a weight for each risk factor using the shortest distance on the axis and the operation of determining the importance of each risk factor using the weight of each risk factor generated in each risk factor pair .

1 is a configuration diagram of a personalization prescription system according to an embodiment of the present invention.
2 is a flowchart of a risk factor importance evaluation method according to another embodiment of the present invention.
Figure 3 is an example of past patient data referenced in calculating the importance for each risk factor in some embodiments of the present invention.
FIG. 4 is a view for explaining a pair of risk factors generated for the importance calculation for each risk factor in some embodiments of the present invention. FIG.
Figure 5 is a diagram for mapping past patient data and subject patient data on a plane with each risk factor of the risk factor pair in some embodiments of the invention.
Figures 6A and 6B map past patient data and subject patient data on a plane with each axis of each risk factor of the risk factor pair in some embodiments of the present invention, The data of the patient having the severity and the data of the patient having the severity that is one stage relaxed from the severity of the subject patient.
FIG. 7 is a diagram for explaining a method of calculating a weight for each of the risk factors A and B of the subject in the case shown in FIG. 6A. FIG.
FIG. 8 is a diagram for explaining a method of calculating a weight for each of the risk factors A and B of the subject in the case shown in FIG. 6B.
Figure 9 is a diagram for describing scaling of values of a first axis and a value of a second axis of a plane of a pair of risk factors in accordance with severity in some embodiments of the present invention.
10 is a diagram for explaining the importance of each risk factor by summing weights of the risk factors generated in each risk factor pair in some embodiments of the present invention.
11 is a configuration diagram of a risk factor importance evaluation apparatus according to another embodiment of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS The advantages and features of the present invention and the manner of achieving them will become apparent with reference to the embodiments described in detail below with reference to the accompanying drawings. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. Is provided to fully convey the scope of the invention to those skilled in the art, and the invention is only defined by the scope of the claims. Like reference numerals refer to like elements throughout the specification.

Unless defined otherwise, all terms (including technical and scientific terms) used herein may be used in a sense commonly understood by one of ordinary skill in the art to which this invention belongs. Also, commonly used predefined terms are not ideally or excessively interpreted unless explicitly defined otherwise. The terminology used herein is for the purpose of illustrating embodiments and is not intended to be limiting of the present invention. In the present specification, the singular form includes plural forms unless otherwise specified in the specification.

Hereinafter, the configuration and operation of the personalized prescription system according to an embodiment of the present invention will be described with reference to FIG. 1, the personalization prescription system according to the present embodiment may include a risk factor importance evaluation apparatus 10, an EMR system 20, and one or more in-hospital terminals 30a, 30b, and 30c .

The EMR (Electronic Medical Record) system 20 is a system for managing electronic medical records of a hospital operating a personalized prescription system according to the present embodiment. Although only the EMR system 20 is shown in FIG. 1, various business automation systems operated in hospitals such as an Order Communication System (OCS) and a Picture Archiving Communication System (PACS) Can be interlocked with the device (10). For example, the risk factor importance evaluating apparatus 10 receives examination data of a patient having a specific disease from the EMR system 20 and past patient data of the specific disease, receives the importance of each prescription item in the prescription delivery system Information can be provided.

The EMR system 20 may manage past patient data 200, for example, as shown in FIG. 3, where past patient data 200 may include examination data of a particular disease sufferer and severity information of each patient .

The risk factor importance evaluating apparatus 10 provides importance information for each item when a plurality of items are included in the prescription provided to the subject patient. Hereinafter, the "subject patient" refers to the patient to be subjected to the importance evaluation of the risk factors. The "subject patient " is compared to a" past patient "who has a history of the same disease. Hereinafter, the target disease of the "subject patient" is described as "target disease".

Each item included in the prescription is associated with at least some of the risk factors of the subject disease. The case where the target disease is myocardial infarction will be described as an example. If myocardial infarction is accompanied by medication prescription, exercise prescription, diet regimen, smoking cessation recommendation, smoking precautions, risk factors for myocardial infarction, The diet regimen is associated with nutrient intake among the risk factors of myocardial infarction and the smoking cessation recommendation is associated with smoking among the risk factors of myocardial infarction.

The importance information indicates how much a particular prescription item is effective in improving the severity of the myocardial infarction of the patient. For example, if the severity of severe severity of patients with severe Severe severity is improved to moderate severity, the momentum as a risk factor for myocardial infarction is considered to be of high importance if improvement of the exercise is necessary among risk factors of myocardial infarction. Therefore, exercise prescription, which is a prescription item related to the amount of exercise, will be given a high importance.

The severity may be assessed using existing criteria for each disease. The severity can be set by a healthcare provider and a value related to the duration of survival and quality of life, such as DALY (Disability Adjusted Life Year), QALY (Quality Adjusted Life Year) . The present specification is based on the four-stage severity system of Mild, Moderate, Severe, and Critical in order of increasing severity.

The risk factor importance evaluating apparatus 10 evaluates importance of each risk factor of the target disease of the target patient based on the past patient data. For example, the risk factor importance evaluating apparatus 10 may be configured to determine, based on the past patient's data having the degree of severity of the subject patient and the severity degree of the subject's patient that is one step lower than the severity of the subject patient, The importance of each of the risk factors of the target disease can be evaluated.

More specifically, the risk factor importance evaluating apparatus 10 generates one or more risk factor pairs each consisting of two risk factors among a plurality of risk factors of the target disease, and for each of the risk factor pairs, The past patient data is mapped on a plane having one axis, the boundary line on the plane based on the severity of each patient is determined, the weight for each risk factor is generated using the slope of the boundary line , The importance of each risk factor can be determined using the weight of each risk factor generated from each risk factor pair.

In one embodiment, the risk factor importance evaluation apparatus 10 generates a risk factor pair composed of two risk factors among a plurality of risk factors of a disease, and for each pair of risk factors, Mapping the past patient data and subject patient data of the disease on a plane on which the subject patient data is mapped, determining a boundary on the plane based on the severity of each patient, The weight of each risk factor is generated using the shortest distance on the second axis and the shortest distance on the second axis and the importance of each risk factor can be determined using the weight of each risk factor generated in each pair of risk factors have.

The terminals 30a, 30b and 30c in the hospital are connected to the EMR system 20 to display the GUI provided by the EMR system 20 or to display the GUI provided by the risk factor importance evaluation apparatus 10 A personalized prescription reflecting the importance of each risk factor can be displayed.

For security reasons, the network shown in FIG. 1 may be a network in which access by an external device is restricted by a firewall or the like as needed. That is, the external device not directly connected to the network shown in FIG. 1 may be restricted from accessing the personalization prescription, which reflects the importance of each risk factor for the target patient provided by the risk factor importance evaluator 10.

1, the risk factor importance evaluating apparatus 10 and the EMR system 20 are physically separated from each other. However, the risk factor importance evaluating apparatus 10 may be implemented within the EMR system 20 And may be implemented within a Prescription Delivery System (OCS).

Hereinafter, a risk factor importance evaluation method according to another embodiment of the present invention will be described with reference to FIG. 2 to FIG. The risk factor importance assessment method according to the present embodiment can be performed by one or more computing devices. For example, the risk factor importance evaluation method according to the present embodiment can be performed by the risk factor importance evaluation apparatus 10 shown in FIG. Hereinafter, in order to facilitate understanding, at least part of each operation included in the risk factor importance evaluation method according to the present embodiment may omit the description of the subject.

2 is a flowchart of a risk factor importance evaluation method according to the present embodiment.

First, a risk factor pair consisting of two risk factors among the risk factors of the target disease is generated (S100). Risk factors in this specification refer to factors that may affect the onset of a particular disease. In this specification, a risk factor may refer only to a predetermined portion of the total risk factors of a specific disease.

For example, in myocardial infarction past patient data 200 shown in FIG. 3, myocardial infarction such as age, smoking amount, alcohol intake, nutrient intake, gene retention, SBP (systolic blood pressure), BST (blood glucose level) Of the risk factors are present. However, in this specification, the constituents of the risk-factor pair are limited to some selected major risk factors. For example, among risk factors for myocardial infarction, age (201), smoking amount (203), SBP (205), and BST (207) In this case, the result of the risk factor pair construction using the four risk factors 201, 203, 205, and 207 is shown in FIG.

Returning back to FIG. After constructing a pair of risk factors as shown in FIG. 4, weights of the two risk factors constituting the pair of risk factors are generated for each pair of risk factors. Hereinafter, this process will be described in detail.

First, the past patient data of the target disease is mapped to the plane of the risk factor pair in the form of points (S103). The past patient data may be provided, for example, from an EMR system. If the subject disease is myocardial infarction, past patient data of myocardial infarction are provided from the EMR system. An example of the data of a patient with past myocardial infarction is shown in Fig. As shown in FIG. 3, the past patient data 200 includes examination numerical data and severity information for each examination item of each patient.

If the risk factor pair is comprised of a first risk factor and a second risk factor, then the first axis is the value of the first risk factor and the second axis is the value of the second risk factor. Thus, referring to the value of the first risk factor and the value of the second risk factor of the past patient data of the subject disease, each past patient will be mapped to a point on the plane of the risk factor pair.

As previously mentioned, past patient data mapped in the form of a dot on the plane of the risk-pair pair indicates that the past patient's data with the severity of the subject patient and the patient's severity with a one- Data only. For example, if the severity of the patient is Severe, data from past patients with Severe, Moderate severity can be used. This can be easily understood by considering that the risk factor importance evaluation method according to the present embodiment is a method for evaluating what risk factors are important for improving the severity of the target patient.

In one embodiment, the data of the subject patient may be further mapped to the plane of the risk factor pair. That is, referring to the value of the first risk factor and the value of the second risk factor of the subject, one point indicating the subject patient will be mapped to the plane of the risk factor pair.

At this time, the points indicating the past patients have attributes of the past patients as attributes. This also applies to the points indicating the target patient. And each point mapped to the plane of the risk factor pair can be clustered based on the degree of severity. In this case, various clustering methods such as density-based clustering may be applied.

FIG. 5 shows that a point 50 indicating the subject patient is displayed on the plane of the risk factors A, B. In addition, the points indicating the past patients displayed on the plane of the risk factors A and B are cluster 51 indicating patients whose severity is set to Severe, clusters 52 indicating patients whose severity is set to Moderate, 0.0 > 53 < / RTI > The screening data of selected risk factors among the risk factors of the target disease are measured similarly for each patient's severity. Therefore, it is common that each point mapped on the plane of the risk factor pair forms a cluster based on severity. Using these features, it is possible to cluster each degree of severity.

After mapping the past patient data of the subject disease to the plane of the risk factor pair (S103), the boundary line of the risk factor pair is generated based on the severity of the points pointing to each patient ( S105).

Figures 6A and 6B map past patient data and subject patient data on a plane with each axis of each risk factor of the risk factor pair in some embodiments of the present invention, The data of the patient having the severity and the data of the patient having the severity that is one stage relaxed from the severity of the subject patient. FIG. 6A shows a mapping result of patient data on a pair of risk factors consisting of a risk factor A and a risk factor B, FIG. 6B shows a mapping result of patient data on a pair of risk factors consisting of a risk factor C and a risk factor D / RTI >

When the severity of the subject patient is Severe, as shown in FIGS. 6A and 6B, points indicating past patients set Severe, Moderate as severity are mapped on the plane of the risk factor pair.

FIG. 6A shows a point 60 representing a subject on a plane of a pair of risk factors consisting of a risk factor A and a risk factor B, a cluster 62 of points indicating Severe severity patients, and a point indicating Moderate severity A boundary line 61 between the clusters 63 of the first and second clusters is shown. FIG. 6B shows, on the plane of a pair of risk factors consisting of a risk factor C and a risk factor D, a point 70 indicating a patient, a cluster 72 indicating points of Severe severity and Moderate severity patients A boundary 71 between clusters 73 of points is shown.

Various logic is provided to classify the various points distributed on the plane based on the attributes of the points. The boundary line 61 may be determined using any suitable one of these various logic. For example, the boundary line 61 can be determined through machine learning using SVM (Support Vector Machine). Various information about SVM is provided. For example, see "https://en.wikipedia.org/wiki/Support_vector_machine".

Next, a weight for each risk factor of the risk factor pair is determined using the determined boundary line (S107). FIG. 7 shows the shortest distance on the first axis (risk factor B) and the second axis (risk factor A) between the point 60 and the border 61 pointing to the subject patient shown in FIG. 6A.

The risk weights of risk factor A and risk factor B are d / a, and weights of risk factor B are d / b. That is, using the shortest distance b on the first axis and the shortest distance a on the second axis with respect to the border line 61 of the point 60 to which the target patient data is mapped, a weight for each risk factor is calculated do.

On the other hand, d / a, which is the weight of the risk factor A, is arranged in order with d / a = d / dsin? = 1 / sin ?. Also, the weighting factor of the risk factor B is d / b = d / d cos [theta] = 1 / cos [theta]. That is, it can be seen that a weight for each risk factor may be generated using the slope of the boundary line 61. 6A and 7, as the angle? Between the boundary line 61 and the first axis (the risk factor B) increases, the weight of the risk factor A will decrease and the weight of the risk factor B Will increase.

When the boundary line 71 is determined as shown in Fig. 6B, the importance of the risk factor C is generated to be higher than the importance of the risk factor D. [ The improvement in the value of risk factor C (the decrease in risk factor C) is much more effective in improving the severity than the improvement in the value of risk factor D (increase in risk factor D). Fig. 8 shows the shortest distance on the first axis (risk factor D) and the second axis (risk factor A) between the point 70 and the border 71 pointing to the subject patient shown in Fig. 6B. D / a, which is a weighting factor of the risk factor A, is rearranged in order of d / a = d / dsin? = 1 / sin ?. Therefore, as θ approaches 90 degrees, the weight of risk factor C increases almost infinitely. Also, the weighting factor of the risk factor B is d / b = d / d cos [theta] = 1 / cos [theta]. Thus, as θ approaches 90 degrees, the weight of risk factor D converges to 1.

Figure 9 is a diagram for describing scaling of values of a first axis and a value of a second axis of a plane of a pair of risk factors in accordance with severity in some embodiments of the present invention. Wherein the first axis value and the second axis value are respectively scaled based on the correspondence relationship data between the value of the first axis and the severity and the correspondence relationship data between the value of the second axis and the severity, can do.

As shown in Figure 9, the first axis (risk factor B) increases from 1 to 2 at a value of 1.5 and the second axis (risk factor A) increases from 1 to 2 at a severity at a value of 3.2 , It is preferable that the 1.5 value of the first axis and the 3.2 value of the second axis are arranged at the same interval. In this way, the values for each unit of the first axis are 1.5, 3.5, 5.2, 7.2, and 9.7, and the values for each unit of the second axis are 3.2, 6.4, 7.5, 9, To summarize, the values of the first axis and the values of the second axis are scaled to be arranged at equal intervals based on the degree of severity.

The first data on the relationship between the risk factor and the severity of the first axis is obtained and the risk factor value of the first axis at the time when the severity is deteriorated by one step from the first data is set as the reference value of the first axis Setting a risk factor value of a second axis at a time point at which the degree of severity deteriorates from the second data to a reference value of the second axis by obtaining data on a relationship between the risk factor and the severity of the second axis, . At this time, the reference value of the first axis and the reference value of the second axis are arranged at equal intervals.

The step of determining the weight for each risk factor for each pair of risk factors (S107) is repeated for all pairs of risk factors (S109, S111). Hereinafter, referring to FIG. 10, the operation after determining the weight for each risk factor for the entire risk factor pair will be described. 10 is a diagram for explaining the importance of each risk factor by summing weights of the risk factors generated in each risk factor pair in some embodiments of the present invention.

FIG. 10 shows a situation in which a weight value of each risk factor is obtained for a total of six risk factor pairs. For example, in a pair of risk factors (risk factor A, risk factor B), we can see that the weight of risk factor A: the weight of risk factor B = 2: 1.154701. Similarly, in the pair of risk factors (risk factor A, risk factor C), we can see that the weight of risk factor A: the weight of risk factor C = 1.66164: 1.252136. When the ratio of the total weight of risk factor A, risk factor B, risk factor C, and risk factor D is a: b: c: d, the following formula is formed.

2b = 1.154701a

1.66164c = 1.252136a

1.494477d = 1.345633a

1.112602c = 2.281172c

3.420304d = 11.045692b

1.345633d = 1.494477c

If we solve the above equation, we can get a: b: c: d. The results are shown in Fig. The results according to Fig. 10 indicate that in order to improve the severity of the subject, the risk factors A, B, C and D need to be improved in order.

According to another embodiment, the importance of each risk factor may be calculated by summing the weights of the respective risk factors obtained for each pair of risk factors. At this time, the importance of each pair of risk factors can be reflected and added together. The importance of a pair of risk factors can be estimated through various criteria. For example, it is possible to calculate the sharpness indicating the degree to which the points to which the past patient data of the disease are mapped on the plane of the risk factor pair are divided into different severity points based on the boundary line, The higher the importance of the risk factor pair can be determined. The calculation of the degree of division of the severity points with reference to the boundary line may be performed on the basis of the mapped points of the past patient data of the disease, Counting the number of times, and decreasing the sharpness as the counted number of points increases.

The importance information of each calculated risk factor may be used for providing various personalized care services to the target patient. For example, personalized information may be added to the prescription for the subject patient.

For example, prescription data is provided for a target patient composed of a plurality of prescription items from a device such as a prescription delivery system, and the prescription data for a target patient is stored in a prescription Priority can be given. For example, the prescription for the subject patient includes a dosage regimen and a non-medication prescription (at least one of an exercise prescription, a dietary prescription, a lifestyle prescription and a sleep habit prescription), and for reducing the severity of the target disease, If the importance of the risk factors is the highest, the importance of improving the exercise amount to the subject can be recognized by adding statistical data on the importance of the exercise prescription to the prescription of the subject patient.

In some embodiments, prescription of the specific item is included in the provided prescription data, but the prescription of the specific item may be automatically deleted if the importance of the risk factor associated with the specific item is lower than a reference value. This has the effect of helping the patient to select and concentrate to improve the severity of the target disease.

The methods according to the embodiments of the present invention described above with reference to Figs. 1 to 10 can be performed by the execution of a computer program embodied in computer readable code. The computer program may be transmitted from a first computing device to a second computing device via a network, such as the Internet, and installed in the second computing device, thereby enabling it to be used in the second computing device. The first computing device and the second computing device all include a server device, a physical server belonging to a server pool for cloud services, and a fixed computing device such as a desktop PC.

The computer program comprising the steps of, in combination with a computing device, generating one or more risk-factor pairs comprising two risk factors of a plurality of risk factors of a routing disease, for each of the risk-factor pairs, Mapping the past patient data of the disease on a plane having the degree of severity, determining the boundary on the plane based on the severity of each patient, generating a weight for each risk factor using the slope of the boundary, And using the weight of each risk factor generated in each risk factor pair to determine a significance level for each risk factor.

The computer program may also be used in combination with a computing device to generate a risk factor pair consisting of two risk factors among a plurality of risk factors of the disease, Mapping the past patient data and subject patient data of the disease on a plane, determining the perimeter of the plane based on the severity of each patient, determining a boundary on the first axis with respect to the boundary of the point at which the subject patient data is mapped Generating a weight for each of the risk factors using the shortest distance and the shortest distance on the second axis; and calculating, using the weight of each risk factor generated in each pair of risk factors, Of the risk factors of the patient.

The computer program may be stored in a recording medium such as a DVD-ROM, a flash memory device, or the like.

Hereinafter, the configuration and operation of the risk factor importance evaluation apparatus according to another embodiment of the present invention will be described with reference to FIG. 11, the risk factor importance evaluation apparatus 10 according to the present embodiment includes one or more processors 101, a network interface 103, a storage 107, and a memory (RAM) 105 can do. The processor 101, the network interface 103, the storage 107 and the memory 105 transmit and receive data via the system bus 109. [

The network interface 13 is connected to the EMR system 20 and the in-hospital terminal 30 via the network. The network may be an intra-hospital intranet. The network interface 13 receives the examination data of the patient having the target disease and the examination data of the past patients having the target disease from the EMR system 20.

The disease-specific risk factor table 170 is stored in the storage 107. The disease-specific risk factors table 170 indicates which risk factors should be configured for each disease. That is, among the risk factors of each disease, the selection results of some risk factors determined to be important can be stored in the disease-specific risk factors table 170. [

The importance evaluation operation 150 of the risk factor loaded into the memory 105 and executed by the processor 101 inquires the risk factor corresponding to the disease of the target patient in the disease risk factor table 170, Generating one or more pairs of risk factors consisting of two risk factors for the identified risk factors and for each of the risk factor pairs mapping the past patient data of the disease on a plane with each risk factor as one axis Determines a boundary line on the basis of the degree of severity of each patient, and generates a weight for each risk factor using the slope of the boundary line. In addition, the importance of each risk factor is determined by using the weight of each risk factor generated in each risk factor pair (150).

In some embodiments, the risk factor-by-risk assessment operation 150 may include, for each risk factor pair, generating, for each risk factor, a weight for each risk factor, Weights for each risk factor can be generated using the shortest distance and the shortest distance on the second axis.

The prescription management operation 152 can receive prescription data for a target patient composed of a plurality of prescription items from a device such as a prescription delivery system. The prescription management operation 152 may prioritize the prescription for the subject patient by using the importance information for each risk factor for the subject disease of the subject patient from the importance evaluation operation 150 by the risk factor. For example, the prescription for the subject patient includes a dosage regimen and a non-medication prescription (at least one of an exercise prescription, a dietary prescription, a lifestyle prescription and a sleep habit prescription), and for reducing the severity of the target disease, If the importance of the risk factors is the highest, the importance of improving the exercise amount to the subject can be recognized by adding statistical data on the importance of the exercise prescription to the prescription of the subject patient.

In some embodiments, the prescription management operation 152 includes prescription of a specific item in the provided prescription data, but according to the importance information provided by the risk factor-specific importance evaluation operation 150, the risk factor associated with the specific item If the importance level is lower than the reference value, the prescription of the specific item may be automatically deleted. This has the effect of helping the patient to select and concentrate to improve the severity of the target disease.

While the present invention has been described in connection with what is presently considered to be practical exemplary embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, You will understand. It is therefore to be understood that the above-described embodiments are illustrative in all aspects and not restrictive.

Claims (14)

Wherein the risk factor importance evaluation apparatus comprises: generating at least one pair of risk factors consisting of two risk factors among a plurality of risk factors of the disease;
Wherein the risk factor importance evaluating device maps each of the risk factor pairs to the past patient data of the disease on a plane with each risk factor as one axis, Generating a weight for each risk factor using the slope of the boundary line; And
Wherein the risk factor importance evaluating apparatus includes a step of determining importance of each risk factor using a weight of each risk factor generated in each risk factor pair,
Risk factor criticality assessment method. The method according to claim 1,
Wherein the risk factor importance evaluating apparatus further includes a step of obtaining a severity of a target patient,
Wherein the past patient data of the disease comprises data of past patients with severity of the subject patient and data of past patients with severity one stage of relaxation of the severity of the subject patient,
Risk factor criticality assessment method. The method according to claim 1,
Generating a weight for each risk factor comprises:
And scaling values of the first and second axes of the plane based on the severity.
Risk factor criticality assessment method. The method of claim 3,
Wherein the scaling comprises:
Obtaining first data on a relationship between a risk factor and severity of the first axis;
Setting a risk factor value of a first axis at a time point at which the degree of severity deteriorates from the first data to a reference value of the first axis;
Obtaining data on a relationship between a risk factor and a severity of the second axis; And
Setting a risk factor value of a second axis at a time point at which the degree of severity deteriorates from the second data to a reference value of the second axis,
Wherein the reference value of the first axis and the reference value of the second axis are arranged at equal intervals,
Risk factor criticality assessment method. The method according to claim 1,
Wherein the risk factor importance evaluating apparatus further comprises a step of determining a significance level for each of the pair of risk factors,
Wherein determining the importance for each of the risk factors comprises:
Further comprising determining the importance for each risk factor by summing the weights of each risk factor generated in each risk factor pair, reflecting the importance of each risk factor pair,
Risk factor criticality assessment method. 6. The method of claim 5,
Wherein determining the importance for each of the risk factor pairs comprises:
Calculating a sharpness indicating a degree to which points on which the past patient data of the disease are mapped on the plane of the risk factor pair are divided into different severity points based on the boundary line; And
And determining the importance of the risk factor pair as the sharpness is higher.
Risk factor criticality assessment method. The method according to claim 6,
The step of calculating the degree of division of points having different severity levels based on the boundary line may include:
Counting the number of points mapped to the opposite severity area based on the boundary line among the points to which past patient data of the disease is mapped; And
And determining the sharpness to be low as the counted number of points increases.
Risk factor criticality assessment method. Wherein the risk factor importance evaluation apparatus comprises: generating a risk factor pair consisting of two risk factors among a plurality of risk factors of the disease;
Wherein the risk factor importance evaluating device maps the past patient data and the subject patient data of the disease on a plane having each of the risk factors as one axis for the risk factor pair, Generating a weight for each risk factor using the shortest distance on the first axis and the shortest distance on the second axis to the boundary of the point to which the subject patient data is mapped; And
Wherein the risk factor importance evaluating apparatus includes a step of determining importance of each risk factor using a weight of each risk factor generated in each risk factor pair,
Personalized Risk Factor Rating Methodology. 9. The method of claim 8,
Wherein the past patient data of the disease comprises data of a patient having severity of the subject patient and data of a patient having severity one stage of relaxation of the severity of the subject patient,
Personalized Risk Factor Rating Methodology. 9. The method of claim 8,
Wherein the risk factor importance evaluating apparatus further includes a step of giving priority to the prescription for the target patient using the importance of each of the risk factors.
Risk factor criticality assessment method. 11. The method of claim 10,
The prescription for the subject patient includes a medication prescription and a non-medication prescription,
Wherein the non-medication prescription comprises at least one of an exercise prescription, a dietary prescription, a lifestyle prescription, and a sleep habit prescription,
Risk factor criticality assessment method. 11. The method of claim 10,
Wherein prioritizing the prescription for the subject patient comprises:
And automatically deleting a prescription related to a risk factor having a significance level lower than a reference value in the prescription for the subject patient,
Risk factor criticality assessment method. Network interface;
One or more processors;
A memory for loading a computer program executed by the processor; And
A storage for storing one or more files,
The computer program comprising:
An operation to generate one or more risk factor pairs consisting of two risk factors among a plurality of risk factors of the disease;
Mapping the past patient data of the disease on a plane with each risk factor as an axis for each of the risk factor pairs and determining a boundary on the plane based on the severity of each patient, An operation for generating a weight for each risk factor using the risk factors; And
Using the weight of each risk factor generated in each risk factor pair to determine the importance of each risk factor,
Risk factor criticality assessment device. Network interface;
One or more processors;
A memory for loading a computer program executed by the processor; And
A storage for storing one or more files,
The computer program comprising:
An operation to generate a risk factor pair consisting of two risk factors among multiple risk factors of the disease;
Mapping the past patient data and subject patient data of the disease on a plane with each risk factor as an axis for the risk factor pair and determining the boundary line on the basis of the severity of each patient, Generating a weight for each risk factor using the shortest distance on the first axis and the shortest distance on the second axis to the boundary of the point to which the subject patient data is mapped; And
Using the weight of each risk factor generated in each risk factor pair to determine the importance of each risk factor,
Risk factor criticality assessment device.

Images