JP2003296540A - Diagnostic area analyzing system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To enable the examination of locational conditions of a medical facility considering the management of the medical facility by collecting static data such as estimated patient number in an opening scheduled area of the medical facility to predict the user patient number of the medical facility. <P>SOLUTION: The map data of a medical facility opening scheduled area is divided into a plurality of areas R(i), and the time distances T(xj, i) of each area R(i) to the medical facility A1 to be opened and a similar medical facility Aj are calculated. The facility using ratio q(x1, i) of each medical facility is determined by use of the calculated distance data T(xj, i) to calculate the facility use selection ratio Q(x1, i) of the medical facility concerned. The user patient number of the medical facility A1 is predicted from the facility use selection ratio Q(x1, i) and the estimated patient number N(i) of each area R(i). <P>COPYRIGHT: (C)2004,JPO

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a medical service area analysis system for estimating the number of patients to be used in a planned opening area, when examining location conditions for opening a medical facility.

[0002]

2. Description of the Related Art Conventionally, the location conditions of medical facilities have been examined by setting a predetermined distance zone or time-distance zone from the planned site of the medical facility and conducting a survey of the population and number of households within the zone. , And collects information such as whether or not there is a medical facility (similar medical facility) that has the same clinical course as the medical facility already opened in the above area.

[0003] However, when opening a medical facility, whether there are sufficient medical facilities such as surgery, internal medicine, dermatology, general hospitals, etc. required for residents in the area when the medical facility is to be opened. Is emphasized, and statistical data collection, such as estimation of the estimated number of patients in the planned area, has not been conducted so often.

The present invention has been made in view of the conventional problems, and collects statistical data such as the estimated number of patients in the area where the medical facility is to be opened, and predicts the number of patients who will use the medical facility. By doing so, it is possible to examine the location conditions of medical facilities in consideration of the management of medical facilities.

[0005]

A medical service area analysis system according to claim 1 of the present invention divides map data of a map data of a medical facility establishment area into a plurality of areas by means of storing map data. Estimated patient number extraction means to extract the estimated number of patients for each area, the medical facilities planned to be opened from each area and the medical facilities already opened in the planned medical facility opening area Distance calculation means for calculating the distance to a medical facility having
A means for calculating the facility utilization rate of each medical facility from the calculated distance and the estimated number of patients, and calculating the facility utilization selection rate of the medical facility, and the facility utilization selection rate and the extracted estimated patient. And a means for predicting the number of patients using the medical facility from the number,
As a result, it is possible to accurately predict the number of patients who will use the medical facility scheduled to be opened, and thus it is possible to improve the accuracy of site condition analysis of the medical facility.

By the way, in a medical facility, the facility utilization rate is different from the consumer seconded ratio (inversely proportional to the n-th power of the distance) in the Huff model used for the prediction of general commercial area demand. Since the utilization rate does not change much, it is necessary to use a formula that is different from the above shopping spending ratio. The present inventors have found that it is appropriate to use a one-sided normal distribution function when obtaining the facility utilization rate of a medical facility in consideration of the above conditions. In other words, medical area analysis system according to claim 2, in clinical area analysis system according to claim 1, the distance between the medical facility j and Area i when the x _ij, the medical facility j distance x _ij Facility utilization rate q (x _ij ) of estimated patients living in area i
Is calculated by the following formula. q (x _ij ) = a _j · exp {− (x _ij / x _m ) ² } where a _j ; constant, x _m ; average distance between medical facility and each area

The medical area analysis system according to claim 3 is
A means for calculating time distance T (xj, i) between each medical facility j and each area i based on the road information of the map data is prepared, and the distance x _ij is prepared. Instead of the calculated time distance T (xj, i)
Is used to calculate the facility utilization rate.

The medical area analysis system according to claim 4 is
The population information used to predict the number of users is calculated based on the estimated number of patients calculated from the medical treatment rates for each area such as injury / illness classification and medical treatment.

Further, in the medical service area analysis system according to the fifth aspect, each area is classified into a plurality of facility usage areas according to the predicted number of patients to be used, and a display means is provided.
The above areas are classified and displayed according to facility use on the map. In the medical area analysis system according to claim 6, the area is set based on the town chome administrative data.

[0010]

BEST MODE FOR CARRYING OUT THE INVENTION Embodiments of the present invention will be described below with reference to the drawings. FIG. 1 is a block diagram showing the configuration of a medical area analysis system 10 according to the present embodiment,
In the figure, 1 is a storage means, and this storage means 1
Road network data 1a including road section data L (m) and road point data P (n), position data A (xj) and names of medical facilities scheduled to be opened and other medical facilities in the planned area , Medical facility data 1b including facility attribute data a (xj) such as medical care subjects, and total population, number of households, patient survey data, etc. for each area R (i) on a map divided into a mesh Area polygon data 1c including population information for predicting the number is stored. As the patient survey data, for example, as shown in the table of FIG.
Estimated patient number data for each region announced by the Ministry of Health, Labor and Welfare,
Also, statistical data such as the estimated number of patients for each disease and each medical treatment subject can be used. 2 is the number of patients classified by medical department such as estimated number of internal medicine patients and estimated number of cardiovascular department patients in each area of the planned opening area from the area polygon data 1c stored in the storage means 1, the number of patients with infectious diseases, and blood Estimated patient number extraction means for extracting the estimated number of patients such as the number of patients with hematopoietic diseases, 3 is the same as the medical facility A1 of the medical facility A1 to be opened and other medical facilities in the planned area of opening Position data A (xj) and road section data L of medical facilities (hereinafter referred to as similar medical facilities) Aj that have medical treatment subjects
(m), the road point data P (n), etc., and the time distance T (xi, n) between the medical facility A1 and the similar medical facility Aj scheduled to be opened and each road point P (n) in the planned area The time distance calculation means 4 for calculating the time distance Ts sets a plurality of time distances T _s, and the time distance T (x1, n) of the medical facility A1 to be opened calculated by the time distance calculation means 3 On the map of the planned area,
A time T distance area creating means 5 for creating a polygon D including a road point P (n) satisfying T (x1, n) ≦ T _s , a medical facility A1 to be opened stored in the storage means 1 and Each medical facility Aj is calculated by using the facility attribute a (xj) of the similar medical facility Aj and the time distance T (xj, i) calculated by the time distance calculating means 3.
(J = 1 to k), the facility utilization rate calculating means for calculating the facility utilization rate q (xj, i) in the area R (i) at the time distance T (xj, i), 6 is the facility utilization rate calculating means 5 Using the facility utilization rate q (xj, i) calculated for each facility, facility utilization to calculate the facility utilization selection rate Q (x1, i) for each area R (i) of the medical facility A1 scheduled to be opened The selection rate calculation means, 7 is the facility use selection rate Q (x1, i) and the estimated patient number data N for each area R (i) of the planned opening area extracted by the estimated patient number extraction means 2.
From (i), the aspiration statistics M (x1, i) such as the number of patients in use in a prescribed medical care item for each area R (i) of the medical facility A1 to be opened, and the medical facility A1 to be opened It is a suction statistic calculating means for calculating a suction statistic M (x1) such as the number of patients used. Further, 8 is an input device for inputting map data, medical facility data, patient survey data, and the like, 9 is a polygon D of the calculated time T distance area, and the facility utilization rate q for each area R (i) described above. a display 9a for displaying an image classified by the size of (xj, i) or the suction statistic M (x1, i) on the display screen,
It is an output device including a printer 9b that prints and outputs the information on the displayed site condition of the medical facility A1.

Next, a method of estimating and displaying the number of patients to be used, which is the aspiration statistics M (x1) of the medical facility A1 scheduled to be opened, by using the medical area analysis system having the above-mentioned configuration, is shown in the flowchart of FIG. It will be explained based on. It is assumed that the storage means 1 has already stored the road network data 1a, the medical facility data 1b, and the regional polygon data 1c. First, the input device 8 is used to display the display 9a.
Select and display map data of the area where the medical facility A1 is scheduled to open on the display screen of
Position A1 of No. 1 is displayed on the map (step S
1). Next, as shown in FIG. 4, for example, a circle having a radius of 5 km centered on the medical facility position (the star circle in the center of the figure) to be opened is displayed (step S2). Next, the time distance calculating means 3 stores the position data A (x1) of the medical facility A1 to be opened, which is stored in the storage means 1, the road section data L (m), the road point data P (n), etc. The shortest time distance T ₀ (x1, n) from the planned medical facility A1 to each road point P (n) in the planned opening area is calculated using the road network data 1a (step S3). In this example, the shortest time distance T ₀ (x1, n) is taken as the time to travel from the road point data P (n) to the position A (x1) of the medical facility A1 scheduled to be opened using a car. At this time, the traveling time is not simply a value obtained by dividing the total traveling distance by an arbitrary average vehicle speed,
By using the road network data 1a such as the size of the road, the speed limit, or the congestion degree of the road, the travel time suitable for the actual road condition is calculated. Next, the time T distance zone creating means 4 calculates the shortest time distance T ₀ (x
From 1, n), a polygon D that includes a road point P (n) satisfying T ₀ (x1, n) ≦ T _s and that represents a time T range is created (step S4). It is possible to set a plurality of the above T _s , but here, as an example, the medical facility A to be opened as shown in FIG.
A polygon D indicating a time T distance area having a time distance from 1 of 15 minutes is displayed in an overlapping manner with the concentric circle of 5 km. And
The area R (i) whose center of gravity is inside the polygon D is searched, and the corresponding area R (i) is set as the area of the 15th sphere. Since the map data used in this example includes 1km mesh data of all over Japan, as shown in FIG. 5, each area R (i) in the 15-minute area is classified according to, for example, the size of the total population. The images can be color-coded and displayed on the ideographic screen of the display 9a, or this screen can be output from the printer 9b (the same figure shows the distribution of the total population). By changing the position of the medical facility A1 scheduled to be opened and performing the same operation, it is possible to display the population distribution at the alternative location.

In step S5, the time distance calculating means 3 causes the shortest time distance T (x) from each area R (i) to the medical facility A1 to be opened and the similar medical facility Aj.
j, i) is calculated. The calculation method of this shortest time distance T (xj, i) is similar to the above-mentioned T ₀ (x1, n), that is, the position A (x1 of the medical facility A1 scheduled to be opened from the road point data P (n) using an automobile. ),
Alternatively, it is time to move to the position A (xj) of the similar medical facility Aj. Also in this case, the travel time in consideration of the actual road condition is calculated by using the road network data 1a such as the size and speed limit of the road or the congestion degree of the road. In addition, as the road point P (n),
Of the road points P (n) of each area R (i), it is preferable to use the road point P (n) with the highest frequency of use. In the present embodiment, the distance factor (traffic resistance) is replaced with the actual distance data as in the conventional case, and the medical facility A1 scheduled to be opened from the most frequently used road point Q in each area R (i), or Since the shortest time distance T (xj, i) to the similar medical facility Aj is obtained, the distance factor can be obtained accurately.
The shortest time distance T (x1, i) of the medical facility A1 scheduled to be opened
May use the shortest time distance T ₀ (x1, n) calculated in step S3 as it is, instead of recalculating as described above. For details, see each area R (i) in the planned area.
Among them, the area R (i) whose center of gravity is inside the polygon D is searched, and the shortest time distance T ₀ (x1, i) between the area R (i) and the medical facility A1 to be opened is set to the shortest time distance. Let T (x1, i).

In step S6, the facility utilization rate calculating means 5
By using the facility attributes a (xj) and the time distance T (xj, i) of the medical facility A1 to be opened and the similar medical facility Aj stored in the storage unit 1, the areas R (i) are stored. The facility utilization rate q (xj, i) in each of the medical facilities A1 and similar medical facilities Aj scheduled to be opened is calculated. Facility usage selection rate q
(xj, i) is generally q (xj, i) = f (a (xj)). f (T (xj, i
i)), but in this example, the facility utilization rate differs from the formula of the consumer spending ratio in the Hough model used for forecasting general commercial area demand, and the facility utilization rate is not so great up to a certain distance. Since there is no change, the facility utilization rate q (xj, i) is calculated using the one-sided normal distribution function shown in the following equation. _{q (x ij) = a (} xj) · exp {- (x ij / x m) 2} where, x _m denotes the mean distance between the medical facility and the respective areas.
The graph of the one-sided normal distribution function q (x) is shown in FIG.

Next, by the facility use selection rate calculation means 6,
Facility utilization rate q calculated by the facility utilization rate calculating means 5
Each area R of medical facility A1 scheduled to be opened using (xj, i)
The facility use selection rate Q (x1, i) for each (i) is calculated by the following formula (step S7). However, k is the number of medical facilities including the medical facility A1 scheduled to be opened. Finally, the suction statistic calculation means 7 calculates the facility use selection rate Q (x1, i) and the estimated patient number information for each area R (i) of the planned opening area extracted by the estimated patient number extraction means 2. For example, from the number N (i) of internal medicine patients, the number M (x1, i) of internal medicine utilization patients for each area R (i) is calculated as shown in the table of FIG. Finally, as shown in the following formula, the number of internal medicine patients in each area R (i) is calculated by adding up the number M (x1, i) of internal medicine patients, which is the aspiration statistics of the medical facility A1 scheduled to be opened. M
(x1) is calculated (step S8). FIG. 8 is a diagram showing an example of a display screen in which each area R (i) is color-coded and displayed according to the size of the number M (x1, i) of patients who use internal medicine for each area R (i). It is possible to accurately grasp the distribution of the number of patients used in the planned area. Also, as the estimated patient number information, instead of the number of internal medicine patients,
Using the estimated number of respiratory patients and estimated number of gastroenterological patients shown in the table of Fig. 2 above, the number of patients M '(x1, i) used in each area R (i) for each clinical department , And the number of used patients M ′ (x1) for each medical department can be calculated. In addition, by displaying the service area display screen that is displayed in different colors according to the size of the number of patients M '(x1, i) in each area R (i), the location conditions of the medical facility to be opened can be accurately determined. You can figure it out.

In the above embodiment, the estimated number of patients for each medical treatment item is used as the number M (x1) of patients to be used in the medical facility to be opened, but the estimated number of patients for each disease may be used. Alternatively, the estimated number of patients may be obtained by using the data of the medical treatment rates by disease and clinical department, and the total population or the population by age and gender. For example, as shown in the table of FIG. 2, a patient suffering from “cardiovascular disease” uses internal medicine, respiratory medicine, gastroenterology (gastroenterology), pediatrics, etc. i) Estimated number of patients by disease N _J (i)
Among these medical treatment subjects, is the medical facility A scheduled to be opened.
It is a value obtained by adding the number of patients suffering from "circulatory system disease" to the estimated number of patients in the medical care items provided in 1. Therefore, the number of patients M _J (x1, i) used by disease in each area R (i) of the medical facility A1 scheduled to be opened is calculated for each estimated number N _J (xi) of patients by disease in each area R (i). It can be obtained by multiplying the facility use selection rate Q (x1, i) for each area R (i). In addition, disease-specific use the number of patients of medical facilities A1 of scheduled to open M _J (x
1) is the number of patients M _J (x1,
It is calculated by adding i). Further, in the above example, the map data provided with 1 km mesh data of all over Japan is used, but the map data obtained by dividing the area according to the administrative divisions of Machichome may be used. According to such a division method, each area will be an area corresponding to a residential area, a shopping district, etc., so that it is possible to more effectively use the estimated number of patients by medical department and illness. More accurate analysis of the site conditions of medical facilities can be performed. Also,
In the above example, the distance factor (traffic resistance) is set to each area R (i)
Although the shortest time distance T (xj, i) from the most frequently used road point Q to the medical facility A1 to be opened or the similar medical facility Aj is obtained, the shortest time distance T (x
In place of j, i), simply using x _ij for the distance from the center of each area R (i) to the medical facility A1 to be opened or the similar medical facility Aj is sufficient. It is possible to analyze the location conditions of the medical facility scheduled to open.

[0016]

As described above, according to the present invention,
While dividing the map data of the medical facility planned area into a plurality of areas, calculate the distance between each area and the planned medical facility and similar medical facilities from the above map data, and use the calculated distance data to calculate the distance. The facility utilization rate of each medical facility was calculated to calculate the facility utilization selection rate of the medical facility, and the number of patients used in the medical facility was predicted from this facility utilization selection rate and the estimated number of patients in each area. Therefore, it is possible to accurately predict the number of patients who will use the medical facility scheduled to open. Therefore, it is possible to improve the analysis accuracy of the location conditions of the medical facility and to examine the location conditions of the medical facility in consideration of the management of the medical facility.

[Brief description of drawings]

FIG. 1 is a block diagram showing a configuration of a medical service area analysis system according to an embodiment of the present invention.

FIG. 2 is a diagram showing an example of patient survey data by region.

FIG. 3 is a flowchart showing a method of estimating the number of patients to be used by analyzing a medical area according to the present embodiment.

FIG. 4 is an example of a display screen showing a distance range and a time distance range of a medical facility to be opened.

FIG. 5 is an example of a display screen in which each area is color-coded according to the total population.

FIG. 6 is a graph of a one-sided normal distribution function.

FIG. 7 is a table showing an example of a prediction result of the number of patients used in each area.

FIG. 8 is an example of a display screen in which each area is color-coded according to the number of patients used.

[Explanation of symbols]

1 storage means, 1a road network data, 1b
Medical facility data, 1c area polygon data, 2 estimated patient number extraction means, 3 hour distance calculation means, 4 hour T distance area creation means, 5 facility usage rate calculation means, 6 facility usage selection rate calculation means, 7 suction statistics calculation Means, 8 input device, 9 output device, 9a display, 9b printer, 10 medical area analysis system.

Claims (6)

[Claims] 1. A means for storing map data, an estimated patient number extraction means for dividing the map data of the medical facility establishment planned area into a plurality of areas, and extracting the estimated number of patients in each of the divided areas. Distance calculating means for calculating the distance between each area and the medical facility planned to be opened from the map data, and the medical facility having the same medical treatment subject as the medical facility already opened in the medical facility planned area, Means for calculating the facility utilization rate of each medical facility from the calculated distance and the estimated number of patients, and calculating the facility utilization selection rate of the medical facility, and the facility utilization selection rate and the extracted estimated number of patients And a means for predicting the number of patients to be used at the medical facility from the medical area analysis system. Wherein when the distance between the medical facility j and Area i was x _ij, medical from the facility j putative patients living in the area i of the distance x _ij facility utilization rate q following the (x _ij) The medical service area analysis system according to claim 1, wherein the medical area analysis system is calculated by a formula. q (x _ij ) = a _j · exp {− (x _ij / x _m ) ² } where a _j ; constant, x _m ; average distance between medical facility and each area 3. A means for preparing map data including road network information and calculating a time distance T (xj, i) between each medical facility j and each area i based on the road information of the map data is provided. The medical treatment according to claim 1 or 2, wherein the facility utilization rate is calculated using the calculated time distance T (xj, i) instead of the distance x _ij. Area analysis system. 4. The population information used to predict the number of patients to be used is calculated based on the estimated number of patients calculated from the medical treatment rates for each area, such as injury / illness classification and medical treatment category. The medical service area analysis system according to any one of claims 1 to 3. 5. Each area is classified into a plurality of facility use areas according to the predicted number of patients to be used, and a display means is provided so that each area is displayed by being classified according to facility use. The medical service area analysis system according to any one of claims 1 to 4, wherein: 6. The medical area analysis system according to claim 1, wherein the area is set based on town chome administrative data.