Medical facility design support device and medical facility design support program
The medical facility design support device and program address the inflexibility of conventional layouts by using regression equations and machine learning to create customizable designs that align with user needs and actual facility conditions, improving design adaptability.
Patent Information
- Application Number
- JP2024117824
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2024-07-23
- Publication Date
- 2026-02-04
AI Technical Summary
Conventional medical facility layout technologies are inflexible and cannot adequately meet the diverse needs of various users, including medical professionals, patients, and equipment transporters, due to fixed layouts that do not account for individual facility requirements.
A medical facility design support device and program that acquires floor area and building information, utilizes regression equations and machine learning models to derive and present customizable layouts based on actual situation data from other facilities, allowing for more tailored designs.
Enables the creation of layouts that better meet user demands by deriving and presenting layouts aligned with actual facility conditions, enhancing flexibility and adaptability in medical facility design.
Smart Images

Figure 2026017139000001_ABST
Abstract
Description
[Technical Field]
[0001] The present invention relates to a medical facility design support device and a medical facility design support program. [Background technology]
[0002] Conventionally, the following technologies have been used for the layout of medical facilities.
[0003] Patent Document 1 discloses a hospital building that aims to efficiently arrange the outpatient, medical, ward, staff and logistics departments, thereby improving the functionality and extending the lifespan of each department.
[0004] This hospital building comprises an outpatient department, medical department, ward department, and staff / logistics department, and is characterized by the fact that the staff / logistics department is located in the center, with the outpatient department and medical department on one end and the ward department on the other end, all functionally connected and arranged on a flat surface.
[0005] Patent Document 2 discloses a hospital that is capable of providing emergency medical care immediately after a disaster and that aims to keep construction costs low.
[0006] This hospital is characterized by the fact that an operating room and a power generation facility or a power storage facility are seismically supported on a lower structure having a reception room via a seismic isolation device.
[0007] Patent Document 3 discloses an operating room layout structure that aims to enable efficient arrangement of multiple operating rooms in a limited space and to enable functional cooperation between them.
[0008] This layout structure is an operating room layout structure that defines the layout of multiple operating rooms, and is characterized by comprising: a first operating room group consisting of a first operating room located in the upper left, a second operating room located in the upper right, a third operating room located in the lower left, and a fourth operating room located in the lower right of a unit space having a rectangular floor; middle corridors formed between the first operating room and the third operating room and between the second operating room and the fourth operating room, and opening on the left side as entrances and exits to the unit space for clean equipment, medical staff, and patients; a first space formed between the first operating room and the second operating room and opening into the middle corridor; a second space formed between the third operating room and the fourth operating room and opening into the middle corridor; and recovery corridors formed on the upper outside of the first operating room and the second operating room, the right outside of the second operating room and the fourth operating room, and the lower outside of the fourth operating room and the third operating room, for recovering dirty equipment from the first operating room, the second operating room, the third operating room, and the fourth operating room, respectively. [Prior art documents] [Patent documents]
[0009] [Patent Document 1] JP 2005-344461 A [Patent Document 2] Japanese Patent Application Laid-Open No. 2014-145162 [Patent Document 3] Japanese Patent Application Laid-Open No. 2015-081451 Summary of the Invention [Problem to be solved by the invention]
[0010] Incidentally, when designing the layout of a medical facility, it is necessary to consider not only the requests of the client, but also the convenience of a wide range of users, including medical professionals such as doctors, nurses, physical therapists, radiologists, paramedics, pharmacists, etc., patients, their families, etc., and companies that transport various equipment and drugs, etc.
[0011] Therefore, the requirements for the layout design of a medical facility vary for each medical facility, but the technologies described in Patent Documents 1 to 3 have a problem in that the layout for a medical facility is fixed, and therefore it is not necessarily possible to design a layout that meets the wide range of user requirements mentioned above.
[0012] The present disclosure has been made in consideration of the above circumstances, and aims to provide a medical facility design support device and a medical facility design support program that can support layout designs that can meet more needs than conventional technologies. [Means for solving the problem]
[0013] The medical facility design support device of the present invention as set forth in claim 1 comprises an acquisition unit that acquires floor area information indicating the floor area of each of a plurality of departments excluding wards, which are departments to be installed in a target medical facility, building area information indicating the building area of the site on which the medical facility is to be built, and actual situation information indicating the actual layout of at least some of the departments in another medical facility; a derivation unit that uses the floor area information, building area information, and actual situation information to derive layout information indicating the layout of the departments for the medical facility when the medical facility is built as having a plurality of floors on the site; and a presentation unit that presents the layout indicated by the layout information.
[0014] According to the medical facility design support device of the present invention as set forth in claim 1, floor area information indicating the floor area of each of multiple departments excluding wards that will be installed in the target medical facility, building area information indicating the building area of the site on which the medical facility will be built, and actual situation information indicating the actual layout of at least some of the multiple departments in other medical facilities are obtained, and using the floor area information, building area information, and actual situation information, layout information indicating the layout of the multiple departments for the medical facility when the medical facility is built as a site with multiple floors is derived, and a layout indicated by the layout information is presented, thereby making it possible to present a layout for the medical facility that is in line with the actual situation, and as a result, it is possible to support layout designs that can meet more requests than conventional technology.
[0015] The medical facility design support device according to the present invention as set forth in claim 2 is the medical facility design support device as set forth in claim 1, wherein the floor area information is information derived using at least one of a regression equation and a machine learning model that has been machine-learned in advance, each of which includes as input information the total number of hospital beds to be installed in the medical facility.
[0016] According to the medical facility design support device of the present invention as set forth in claim 2, floor area information is information derived using at least one of a regression equation and a machine learning model that has been machine-learned in advance, with the input information including the total number of beds to be installed in each medical facility, so that floor area information can be obtained from only the total number of beds to be installed in the medical facility.
[0017] The medical facility design support device according to the present invention as set forth in claim 3 is the medical facility design support device as set forth in claim 2, wherein the floor area information is derived from input information including information in which the total number of hospital beds is converted into a physical quantity corresponding to the department from which the floor area information is derived.
[0018] According to the medical facility design support device of the present invention as set forth in claim 3, floor area information is derived from input information including information in which the total number of hospital beds is converted into a physical quantity corresponding to the department for which the floor area information is to be derived, thereby making it possible to easily obtain floor area information specialized for the department for which the floor area information is to be derived.
[0019] The medical facility design support device according to the present invention as set forth in claim 4 is a medical facility design support device as set forth in any one of claims 1 to 3, wherein the derivation unit derives the number of floors of the medical facility by dividing the total value of the floor area indicated by the floor area information by the building area indicated by the building area information.
[0020] According to the medical facility design support device of the present invention as set forth in claim 4, the number of floors of the medical facility can be easily derived by dividing the total value of the floor area indicated by the floor area information by the building area indicated by the building area information.
[0021] The medical facility design support device according to the present invention as set forth in claim 5 is the medical facility design support device as set forth in any one of claims 1 to 4, wherein the multiple departments are classified into groups based on the actual situation information, and the derivation unit derives the layout information by prioritizing different combinations of the groups.
[0022] According to the medical facility design support device of the present invention as set forth in claim 5, the above-mentioned multiple departments are classified into groups based on actual situation information, and layout information is derived by prioritizing different combinations of the groups, so that departments that should be prioritized are grouped together, and departments within the group can be preferentially installed.
[0023] The medical facility design support device according to the present invention as set forth in claim 6 is a medical facility design support device as set forth in any one of claims 1 to 5, wherein the derivation unit derives the layout information based on the actual situation information so as to give priority to floors in the other medical facility on which the multiple departments are more likely to be located.
[0024] According to the medical facility design support device of the present invention as set forth in claim 6, layout information is derived based on actual situation information so that floors where the above-mentioned multiple departments are more likely to be located in other medical facilities are given priority, thereby making it possible to reflect the layout trends adopted in other medical facilities.
[0025] The medical facility design support program of the present invention as set forth in claim 7 causes a computer to execute a process of acquiring floor area information indicating the floor area of each of a plurality of departments excluding wards that are to be installed in a target medical facility, building area information indicating the building area of the site on which the medical facility is to be built, and actual situation information indicating the actual layout of at least some of the departments in another medical facility, using the floor area information, building area information, and actual situation information to derive layout information indicating the layout of the departments for the medical facility when the medical facility is built as having multiple floors on the site, and presenting the layout indicated by the layout information.
[0026] According to the medical facility design support program of the present invention as set forth in claim 7, floor area information indicating the floor area of each of multiple departments excluding wards that will be installed in the target medical facility, building area information indicating the building area of the site on which the medical facility will be built, and actual situation information indicating the actual layout of at least some of the above-mentioned multiple departments in other medical facilities are obtained, and using the floor area information, building area information, and actual situation information, layout information indicating the layout of the above-mentioned multiple departments for the medical facility when the medical facility is built as a medical facility with multiple floors on the site is derived, and a layout indicated by the layout information is presented, thereby making it possible to present a layout for the medical facility that is in line with the actual situation, and as a result, it is possible to support layout designs that can meet more requests than conventional technology. [Effects of the Invention]
[0027] As described above, according to the present invention, it is possible to support layout designs that can meet more demands than conventional techniques. [Brief explanation of the drawings]
[0028] [Figure 1] 1 is a block diagram illustrating an example of a hardware configuration of a medical facility design support apparatus according to an embodiment. [Figure 2] 1 is a block diagram illustrating an example of a functional configuration of a medical facility design support apparatus according to an embodiment. [Figure 3] FIG. 2 is a schematic diagram illustrating an example of a configuration of a status information database according to the embodiment. [Figure 4] FIG. 2 is a schematic diagram showing an example of the configuration of a first probability information database according to the embodiment. [Figure 5] FIG. 4 is a schematic diagram showing an example of the configuration of a second probability information database according to the embodiment. [Figure 6] FIG. 2 is a schematic diagram illustrating an example of a configuration of a regression equation database according to the embodiment. [Figure 7] FIG. 2 is a schematic diagram illustrating an example of a configuration of a grouping database according to the embodiment. [Figure 8] 10 is a flowchart illustrating an example of a probability information derivation process according to the embodiment. [Figure 9] 10 is a flowchart illustrating an example of a medical facility design support process according to the embodiment. [Figure 10] FIG. 10 is a front view showing an example of a configuration of an initial information input screen according to the embodiment. [Figure 11] FIG. 10 is a front view showing an example of a configuration of a layout presentation screen according to the embodiment. DETAILED DESCRIPTION OF THE INVENTION
[0029] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS
[0023] The present invention will be described in detail below with reference to the accompanying drawings. In the present embodiment, a hospital is used as a medical facility to which the technology of the present disclosure is applied.
[0030] First, the configuration of a medical facility design support device 10 according to this embodiment will be described with reference to Fig. 1. Fig. 1 is a block diagram showing an example of the hardware configuration of the medical facility design support device 10 according to this embodiment. Examples of the medical facility design support device 10 include information processing devices such as a personal computer and a server computer.
[0031] 1, a medical facility design support device 10 according to this embodiment includes a CPU (Central Processing Unit) 11, a memory 12 serving as a temporary storage area, a nonvolatile storage unit 13, an input unit 14 such as a keyboard and a mouse, a display unit 15 such as a liquid crystal display, a medium read / write device (R / W) 16, and a communication interface (I / F) unit 18. The CPU 11, memory 12, storage unit 13, input unit 14, display unit 15, medium read / write device 16, and communication I / F unit 18 are connected to one another via a bus B. The medium read / write device 16 reads information written in a recording medium 17 and writes information to the recording medium 17.
[0032] The storage unit 13 is realized by an HDD (Hard Disk Drive), an SSD (Solid State Drive), a flash memory, or the like. The storage unit 13, which serves as a storage medium, stores a probability information derivation program 13A and a medical facility design support program 13B. The probability information derivation program 13A is stored in the storage unit 13 by setting a recording medium 17, on which the program 13A is written, in the medium reading and writing device 16, and the medium reading and writing device 16 reading the program 13A from the recording medium 17. The medical facility design support program 13B is also stored in the storage unit 13 by setting a recording medium 17, on which the program 13B is written, in the medium reading and writing device 16, and the medium reading and writing device 16 reading the program 13B from the recording medium 17. The CPU 11 appropriately reads each of the probability information derivation program 13A and the medical facility design support program 13B from the storage unit 13, expands them in the memory 12, and sequentially executes the processes of each program.
[0033] The storage unit 13 also stores a fact-state information database 13C, a first probability information database 13D, a second probability information database 13E, a regression equation database 13F, and a grouping database 13G. These databases will be described in detail later.
[0034] Next, the functional configuration of the medical facility design support device 10 according to this embodiment will be described with reference to Fig. 2. Fig. 2 is a block diagram showing an example of the functional configuration of the medical facility design support device 10 according to this embodiment.
[0035] 2, the medical facility design support device 10 according to this embodiment includes an acquisition unit 11A, a derivation unit 11B, and a presentation unit 11C. The CPU 11 of the medical facility design support device 10 executes the probability information derivation program 13A and the medical facility design support program 13B, thereby functioning as the acquisition unit 11A, the derivation unit 11B, and the presentation unit 11C.
[0036] The acquisition unit 11A in this embodiment is a department to be installed in a target medical facility (hereinafter referred to as the "target facility"), and acquires floor area information indicating the floor area of each of multiple departments excluding wards, building area information indicating the building area of the site on which the target facility is to be built, and actual information indicating the actual layout of at least some of the above multiple departments in other medical facilities.
[0037] In addition, the derivation unit 11B according to this embodiment uses the acquired floor area information, building area information, and actual situation information to derive layout information indicating the layout of the multiple departments for the target facility when the target facility is constructed as having multiple floors on the site.
[0038] Then, the presentation unit 11C according to the present embodiment presents the layout indicated by the derived layout information. Note that, in the present embodiment, a case where presentation by the presentation unit 11C is performed by displaying on the display unit 15 will be described, but the present invention is not limited to this. For example, presentation by audio using a sound generating device or presentation by printing using an image forming device may be used as presentation by the presentation unit 11C.
[0039] In this embodiment, the floor area information is derived using a regression equation whose input information includes the total number of hospital beds to be installed in the target facility, but the invention is not limited to this. For example, the floor area information may be derived using a machine learning model that has been trained in advance and whose input information includes the total number of hospital beds to be installed in the target facility, or the floor area information may be derived using both the regression equation and the machine learning model.
[0040] In particular, in this embodiment, the floor area information used is information derived from input information including information in which the total number of hospital beds is converted into a physical quantity corresponding to the department from which the floor area information is derived.
[0041] For example, if the department for which floor area information is to be derived is a medical office, its floor area is not directly related to the total number of hospital beds, but is directly related to the number of doctors who belong to the department. Therefore, in this case, in this embodiment, instead of deriving floor area information directly from the total number of hospital beds, the number of doctors (corresponding to the "physical quantity" mentioned above) is derived from the total number of hospital beds, and floor area information indicating the floor area of the medical office is derived from the number of doctors using a regression equation.
[0042] In this way, in this embodiment, floor area information is derived in two stages depending on the department to be derived, but in the case of the medical department mentioned above, the number of doctors depends not only on the total number of beds but also on the functions of the target facility, such as acute care or convalescent care.
[0043] Therefore, in this embodiment, the physical quantity is derived by applying not only the total number of hospital beds but also multiple types of predetermined information such as the functions (hereinafter referred to as "basic information"). Therefore, the acquisition unit 11A according to this embodiment also acquires information included in the basic information other than the total number of hospital beds. In the following, in order to avoid confusion, a case will be described in which only two types of information, the total number of hospital beds and the functions, are applied as the basic information, but it goes without saying that the present invention is not limited to this.
[0044] In this embodiment, floor area information is derived in two stages depending on the department to be derived. This is for the following two reasons. First, by limiting the basic information to the minimum necessary types of information, the processing load required to obtain the basic information is minimized. Second, if the floor area information obtained in the two stages does not indicate the desired floor area, the floor area information can be easily changed to the desired one simply by directly changing the physical quantities.
[0045] Furthermore, the derivation unit 11B according to this embodiment derives the number of floors of the target facility by dividing the total floor area indicated by the floor area information by the building area indicated by the building area information. In this way, in this embodiment, the number of floors of the target facility is derived simply by dividing the total floor area by the building area, but this is not limiting. For example, the number of floors may be derived taking into account height restrictions such as slope restrictions on the target site.
[0046] In addition, in this embodiment, the above-mentioned multiple departments are classified into groups based on actual situation information, and the derivation unit 11B in this embodiment derives layout information by prioritizing each different combination of the groups.
[0047] In this embodiment, the groups are obtained by grouping different combinations of the multiple departments in other medical facilities that have a high probability (hereinafter referred to as "first probability") of being located on the same floor, based on the actual situation information, but the present invention is not limited to this. For example, medical personnel working in medical facilities may group the multiple departments based on their experience.
[0048] Furthermore, the derivation unit 11B according to this embodiment derives layout information based on the above-mentioned actual situation information so as to give priority to floors on which the above-mentioned multiple departments are installed in other medical facilities with a higher probability (hereinafter referred to as the "second probability") of being installed.
[0049] 3 to 7 are schematic diagrams showing examples of the configurations of the actual state information database 13C, the first probability information database 13D, the second probability information database 13E, the regression equation database 13F, and the grouping database 13G, respectively.
[0050] As shown in Fig. 3, the actual situation information database 13C according to this embodiment stores information indicating the floors on which each department type is installed in other existing medical facilities. Note that Fig. 3 shows only an example of the types and configurations of information, and therefore lists hypothetical values, but in reality, actual values for many medical facilities are applied.
[0051] In the example shown in Figure 3, for the two hospitals shown, the departments belonging to the "outpatient" department, "reception, medical affairs, and accounting," are all located on the first floor.
[0052] Also, as shown in Figure 4, the first probability information database 13D of this embodiment is obtained using each piece of information stored in the actual information database 13C, and stores information indicating the above-mentioned first probability.
[0053] In the example shown in Figure 4, for example, the probability that the "Reception, Medical Affairs, and Accounting" department, which is part of the "Outpatient" department, is located on the same floor as the "ICU" (Intensive Care Unit), is 3%, and the probability that it is located on the same floor as the "General Outpatient" department is 62%.
[0054] Also, as shown in Figure 5, the second probability information database 13E of this embodiment is obtained using each piece of information stored in the actual information database 13C, and stores information indicating the above-mentioned second probability.
[0055] In the example shown in Figure 5, for example, a department whose group name is "Reception Group" and whose main department is "Reception" has an 82% probability of being located on the first floor and an 8% probability of being located on the top floor of a low-rise building.
[0056] 6, the regression equation database 13F according to this embodiment stores information indicating the above-described regression equation. Note that the regression equation according to this embodiment derives the floor area using the total number of hospital beds in the target facility or the above-described physical quantity as an explanatory variable and the floor area of each department as a response variable, but is not limited to this. For example, if the target department is an administrative department, the number of seats in the administrative department may be directly used as an explanatory variable.
[0057] In the example shown in FIG. 6, for example, the regression equation corresponding to "reception, medical affairs, and accounting," which is a department belonging to "outpatient," is "y=0.6x+2.3."
[0058] As shown in FIG. 7, the grouping database 13G stores information about the above-mentioned groups.
[0059] In the example shown in FIG. 5, for example, a group with the group name "reception group" is a group to which the target departments belong: reception, medical affairs and accounting, regional medical cooperation, and entrance hall.
[0060] Next, the operation of the medical facility design support device 10 according to this embodiment will be described with reference to Figs. 8 to 11. First, the operation of the medical facility design support device 10 when performing probability information derivation processing will be described with reference to Fig. 8. Fig. 8 is a flowchart showing an example of the flow of the probability information derivation processing according to this embodiment. The probability information derivation processing is executed every time new information is registered in the actual-state information database 13C. However, this is not limited to this form, and the probability information derivation processing may also be executed every time a predetermined number of pieces of information (for example, 10 pieces) are newly registered in the actual-state information database 13C.
[0061] In step 100 shown in FIG. 8, the CPU 11 reads all information (hereinafter referred to as "actual information") from the actual information database 13C.
[0062] In step 102, CPU 11 extracts information on combinations of two different departments from the read-out actual information, and uses the extracted information to derive a first probability, which is the probability that the two departments in the combination are located on the same floor.
[0063] In step 104, the CPU 11 stores (updates) the derived first probability in the corresponding storage area of the first probability information database 13D.
[0064] In step 106, CPU 11 determines whether or not the processing of steps 102 to 104 has been completed for all two-department combinations of departments, and if the determination is negative, the process returns to step 102, whereas if the determination is positive, the process proceeds to step 108. When repeatedly executing the processing of steps 102 to 106, CPU 11 processes two-department combinations that have not been processed up to that point.
[0065] Through the above processing, the first probability information database 13D is constructed (sequentially updated).
[0066] In step 108, the CPU 11 extracts information for any one department from the read actual information, and uses the extracted information to derive a second probability, which is the probability of the floor on which the department is located.
[0067] In step 110, the CPU 11 stores (updates) the derived second probability in the corresponding storage area of the second probability information database 13E.
[0068] In step 112, CPU 11 determines whether the processing of steps 108 to 110 has been completed for all departments, and if the determination is negative, the process returns to step 108, whereas if the determination is positive, the probability information derivation process ends. When repeatedly executing the processing of steps 108 to 112, CPU 11 processes departments that have not been processed up to that point.
[0069] Through the above processing, the second probability information database 13E is constructed (sequentially updated).
[0070] As described above, the grouping database 13G shown in FIG. 7 as an example is constructed or sequentially updated using the first probability registered in the first probability information database 13D by the probability information derivation process.
[0071] Next, the operation of the medical facility design support device 10 when performing the medical facility design support processing will be described with reference to Figures 9 to 11. Note that Figure 9 is a flowchart showing an example of the flow of the medical facility design support processing according to this embodiment. Furthermore, the medical facility design support processing is executed when a user inputs an instruction to execute the processing.
[0072] 9, CPU 11 reads all information (hereinafter referred to as "grouping information") from grouping database 13G. Also, in step 200, CPU 11 reads all information (hereinafter referred to as "second probability information") from second probability information database 13E. Also, in step 200, CPU 11 reads information indicating all regression equations from regression equation database 13F.
[0073] In step 202, the CPU 11 controls the display unit 15 to display an initial information input screen having a predetermined configuration, and in step 204, the CPU 11 waits until the predetermined information is input.
[0074] An example of an initial information input screen according to this embodiment is shown in Fig. 10. As shown in Fig. 10, the initial information input screen according to this embodiment displays a first input area 15A for inputting information about the target facility, such as the number of hospital beds, function, site area, and building area, as well as a second input area 15B for inputting department names and the like. When the initial information input screen is displayed, the user inputs the requested information via the input unit 14 and then selects the end button 15X. When the end button 15X is selected, a positive determination is made in step 204, and the process proceeds to step 206.
[0075] In step 206, the CPU 11 derives the floor area of each input department using the corresponding regression equation as described above, and in step 208, the CPU 11 derives the number of floors of the target facility using the input building area and the derived floor area as described above.
[0076] In step 210, the CPU 11 executes a layout setting process to derive a layout plan for each floor of each department using the read grouping information and second probability information, and the derived number of floors and floor area of each department.
[0077] In this case, the CPU 11 first installs the departments belonging to the "first floor group" in each group indicated by the above-mentioned grouping information on the first floor of the target facility, and installs the departments belonging to the "lowest floor group" on the lowest floor of the target facility. Next, the CPU 11 determines the floor on which to install the remaining departments based on the priority situation using the above-mentioned second probability. Here, the CPU 11 increases the priority of departments with relatively large floor areas, such as dialysis and rehabilitation, compared to other departments, even if the priority using the second probability is low. In addition, at this time, the CPU 11 derives multiple types (three types in this embodiment) of layout candidates.
[0078] In this way, in this embodiment, the layout of each department is determined by applying the grouping indicated by the grouping information and the second probability in this order, but this is not limiting. For example, the layout of each department may be determined by applying the second probability and the grouping in this order.
[0079] In step 212, the CPU 11 controls the display unit 15 to display a layout presentation screen that presents the derived layout proposal, and in step 214, the CPU 11 waits until predetermined information is input.
[0080] An example of a layout presentation screen according to this embodiment is shown in Fig. 11. As shown in Fig. 11, the layout presentation screen according to this embodiment displays the first candidate layout as a default among multiple types of layout candidates derived by the layout setting process in step 210. Note that the example shown in Fig. 11 illustrates a case where a separately derived general ward is displayed overlaid on top of the derived layout, but this is not limited to this. For example, it is also possible to display only the layout derived by the layout setting process without displaying the general ward.
[0081] In this embodiment, the layout presentation screen displays the first candidate layout as a cross-sectional view of the target medical facility when viewed from the side. Therefore, the user can intuitively grasp the first candidate layout by referring to this layout presentation screen. In this case, the displayed layout may be rotatable to accommodate cases where the user wishes to refer to the layout at the rear when viewed from the front in FIG. 11.
[0082] Also displayed on this layout presentation screen are a second candidate button 15C, which is designated when displaying a second candidate layout, and a third candidate button 15D, which is designated when displaying a third candidate layout. Therefore, when the user wants to refer to other layout candidates, the user designates the second candidate button 15C or the third candidate button 15D via the input unit 14. When this designation is made, the CPU 11 switches the layout displayed on the layout presentation screen so as to display the candidate layout corresponding to the designated button.
[0083] Then, after referring to each layout proposal on the layout presentation screen, the user selects the end button 15X via the input unit 14. When the end button 15X is selected, an affirmative determination is made in step 214, and the medical facility design support process ends.
[0084] As described above, according to this embodiment, floor area information indicating the floor area of each of multiple departments (excluding wards) to be installed in the target medical facility, building area information indicating the building area of the site on which the medical facility is to be built, and actual situation information indicating the actual layout of at least some of the multiple departments in another medical facility are acquired, and layout information indicating the layout of the multiple departments for the medical facility when the medical facility is built as a multi-story site is derived using the floor area information, building area information, and actual situation information, and the layout indicated by the layout information is presented. Therefore, a layout that is in line with the actual situation can be presented as a layout for the medical facility, thereby supporting layout design that can meet more requests than conventional techniques.
[0085] Furthermore, according to this embodiment, the floor area information is information derived using at least one of a regression equation and a machine learning model that has been machine-learned in advance, and the input information includes the total number of hospital beds installed in each medical facility. Therefore, the floor area information can be obtained only from the total number of hospital beds installed in the medical facility.
[0086] In particular, according to this embodiment, the floor area information is derived from input information including information in which the total number of hospital beds is converted into a physical quantity corresponding to the department from which the floor area information is derived, thereby making it possible to easily obtain floor area information specialized for the department from which the floor area information is derived.
[0087] Furthermore, according to this embodiment, the number of floors of the medical facility is derived by dividing the total floor area indicated by the floor area information by the building area indicated by the building area information, so that the number of floors of the medical facility can be derived easily.
[0088] Furthermore, according to this embodiment, the multiple departments are classified into groups based on the actual situation information, and layout information is derived by prioritizing different combinations of the groups. Therefore, by prioritizing departments in the same group, departments within the group can be installed with priority.
[0089] Furthermore, according to this embodiment, layout information is derived based on actual situation information so that floors where the departments are more likely to be located in other medical facilities are given priority, thereby reflecting the layout trends of layouts that have been adopted in other medical facilities.
[0090] Although the above embodiment does not mention the corridors on each floor, it is also possible to derive the area of the corridors for each floor based on the floor area of the departments to be installed, the number of entrances and exits, the type of use, etc., and then determine the number of floors of the facility and the location of each department, taking the area of the corridors into consideration.
[0091] In the above embodiment, the departments of the present disclosure include a department that combines multiple departments, such as "reception, medical affairs, and accounting," but the present disclosure is not limited to this. For example, these combined departments may be applied as individual departments. Furthermore, the individual departments exemplified in the above embodiment may be subdivided into multiple departments according to detailed roles, number of employees, etc., and each of the subdivided departments may be applied as a department of the present disclosure.
[0092] In the above embodiment, the technology of the present disclosure is described as being applied to a medical facility, but the present disclosure is not limited to this. For example, the technology of the present disclosure may be applied to other buildings that house rooms for multiple departments, each with a different function, similar to a medical facility.
[0093] Furthermore, the configurations of the various databases applied in the above embodiment are merely examples, and it goes without saying that the present invention is not limited to the examples.
[0094] Furthermore, in the above embodiment, for example, the following various processors can be used as the hardware structure of the processing unit that executes each process of the acquisition unit 11A, the derivation unit 11B, and the presentation unit 11C. As described above, the various processors include a CPU, which is a general-purpose processor that executes software (programs) and functions as a processing unit, as well as dedicated electrical circuits that are processors having a circuit configuration specifically designed to execute specific processes, such as a programmable logic device (PLD) that is a processor whose circuit configuration can be changed after manufacture, such as an FPGA (Field-Programmable Gate Array), and an ASIC (Application Specific Integrated Circuit).
[0095] The processing unit may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA).The processing unit may also be configured with a single processor.
[0096] Examples of configuring a processing unit with a single processor include, first, a form in which one processor is configured with a combination of one or more CPUs and software, and this processor functions as the processing unit, as typified by computers such as client and server. Second, a form in which a processor is used to realize the functions of the entire system, including the processing unit, on a single IC (Integrated Circuit) chip, as typified by systems on chips (SoCs). In this way, the processing unit is configured using one or more of the above-mentioned various processors as a hardware structure.
[0097] Furthermore, more specifically, the hardware structure of these various processors can be an electric circuit that combines circuit elements such as semiconductor elements. [Explanation of symbols]
[0098] 10 Medical facility design support device 11 CPU 11A Acquisition Department 11B Derivation part 11C Presentation section 12 Memory 13 Storage section 13A Probability Information Derivation Program 13B Medical Facility Design Support Program 13C Factual Information Database 13D First Probability Information Database 13E Second Probability Information Database 13F Regression Formula Database 13G Grouping Database 14 Input section 15 Display 15A First input area 15B Second input area 15C Second choice button 15D Third candidate button 15X Exit button 16 Media reading and writing device 17 Recording Media 18 Communication I / F section
Claims
1. an acquisition unit that acquires floor area information indicating the floor area of each of a plurality of departments excluding wards that are to be installed in the target medical facility, building area information indicating the building area of the site on which the medical facility is to be built, and actual situation information indicating the actual layout of at least some of the plurality of departments in other medical facilities; a derivation unit that uses the floor area information, the building area information, and the actual situation information to derive layout information indicating a layout of the plurality of departments for the medical facility when the medical facility is constructed to have a plurality of floors on the site; a presentation unit that presents a layout indicated by the layout information; A medical facility design support device equipped with
2. The floor area information is information derived using at least one of a regression equation and a machine learning model that has been machine-learned in advance, and the input information includes the total number of hospital beds to be installed in each of the medical facilities. The medical facility design support device according to claim 1.
3. The floor area information is information derived using, as the input information, information including information in which the total number of hospital beds is converted into a physical quantity corresponding to the department from which the floor area information is derived. The medical facility design support device according to claim 2.
4. the deriving unit derives the number of floors of the medical facility by dividing a total value of floor areas indicated by the floor area information by the building area indicated by the building area information. The medical facility design support device according to any one of claims 1 to 3.
5. the plurality of departments are classified into groups based on the actual status information, the derivation unit derives the layout information by prioritizing different combinations of the groups. The medical facility design support device according to any one of claims 1 to 3.
6. the derivation unit derives the layout information based on the actual situation information so as to prioritize floors on which the departments are more likely to be installed in the other medical facility. The medical facility design support device according to any one of claims 1 to 3.
7. Acquire floor area information indicating the floor area of each of a plurality of departments excluding wards that will be installed in the target medical facility, building area information indicating the building area of the site on which the medical facility will be built, and actual situation information indicating the actual layout of at least some of the plurality of departments in other medical facilities; deriving layout information indicating a layout of the plurality of departments in the medical facility when the medical facility is constructed as having a plurality of floors on the site using the floor area information, the building area information, and the actual situation information; presenting a layout indicated by the layout information; A medical facility design support program that executes processing on a computer.
Citation Information
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