JP2005050244A - Method, device, and program for generating behavior pattern data - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To obtain a method for generating behavior pattern data for reducing labor for performing simulations on specified facilities, and to obtain a device and a program for generating a behavior pattern. <P>SOLUTION: When a group of tasks (for example, a first medical examination reception, a follow-up reception, and the like) for prescribing each behavior for composing a behavior pattern that a user at specified types of facilities (a hospital, commercial facilities, an exhibition hall, or the like) in detail are stored as templates in advance for performing simulation regarding the application of the specified facilities, a specified behavior pattern that a user of specified facilities can take from tasks in the template is selected successively for rearrangement, on the basis of facility application condition information for indicating the application conditions of the specified facilities and user attribute information for indicating the attribute of the user, and the storage of a series of tasks that are selected and rearranged as behavior pattern data for indicating a specified behavior pattern is repeated for all behavior patterns that the user of the specified facilities can take. Then, simulation regarding the application of the specified facilities is made by using the generated behavior pattern data. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

  The present invention relates to a behavior pattern data generation method, apparatus, and program, and in particular, applies behavior pattern data generation method and behavior pattern data generation method for generating behavior pattern data usable for simulation related to a specific facility. The present invention relates to a possible behavior pattern data generation apparatus and a program for causing a computer to function as the behavior pattern data generation apparatus.

  In facilities that are used by an unspecified number of people, such as hospitals and government offices, for example, services provided in the facility for various reasons such as the flow of users (flow lines) in the facility being complicated Efficient facility operation is likely to be hindered, such as an increase in waiting time for receiving the information. In particular, it is a social problem that the waiting time is very long compared to the medical examination time in a hospital, and there is a demand for shortening the waiting time and improving the quality of medical care by improving the efficiency of facility operation. The efficiency of facility operation can be realized, for example, by first identifying and evaluating the current facility operation by simulation, extracting problems in the current facility operation, and improving the extracted problems.

  In relation to the above, in Patent Document 1, for hospitals, information on hospital facilities and operating conditions and arrival distribution of outpatients are input and stored, and at least each window, medical department, etc. based on the stored information Hospital outpatient operation that calculates arrival time, travel time, waiting time, waiting number of people, facility usage rate, etc., and outputs waiting time, waiting number of people, facility usage rate etc. as operation evaluation information according to the arrival distribution of outpatients An evaluation system is disclosed.

Further, Patent Document 2 discloses transportation means simulation information for simulating the operation status of a plurality of transportation means according to the arrangement of transportation means such as an elevator and an operation plan, and the flow of passers-by in a building. The number of passers in the specified location is generated based on simulated passer-by information such as the rate of occurrence of passers-by and the number of passers, and the operation status of multiple means of transportation in the building. , To extract evaluation items such as waiting time for each means of transportation, required time, required time to passer's destination, etc., and generate evaluation data by weighting each evaluation item A system is disclosed.
JP 2001-184408 A JP 2000-44134 A

  In the facility operation simulation, each virtual user behaves with a behavior pattern simulating an actual user's behavior pattern in the facility model that models the facility to be simulated, and the facility model in each time zone This is done by obtaining the distribution of users in each part and the time required for each individual action of the user. The simulation program for performing the above simulation is configured to perform processing for determining the next action of the virtual user every time each virtual user finishes a single action. The behavior patterns of individual virtual users in the above become behavior patterns that imitate the behavior patterns of actual users, and the behavior patterns that can be taken by actual users in actual facilities by the behavior patterns of individual virtual users In order to cover the above, a conditional branching algorithm for the next action determination is defined.

  However, the operating conditions of the facilities are different for each facility, for example, the medical subjects installed in the hospital are different for each hospital, and depending on the operating conditions for each facility, The action patterns that can be taken by individual users also differ for each facility. For this reason, although there is a standard simulation program created in accordance with standard operating conditions, it is rarely possible to use the program as it is when simulating an actual facility. The actual situation is that the facility operating conditions are interviewed and a standard simulation program is customized for a specific facility based on the results of the hearing. Therefore, there has been a problem that a great deal of labor is required every time a new facility is simulated.

  The present invention has been made in consideration of the above facts, and an object of the present invention is to obtain a behavior pattern data generation method, a behavior pattern generation device, and a program that can reduce the labor for performing a simulation related to a specific facility.

  In order to achieve the above object, a method for generating action pattern data according to the first aspect of the present invention is a method for generating individual action patterns obtained by decomposing action patterns that a user of a specific type of facility can take. Based on the facility operation condition information indicating the operation conditions of the specific facility belonging to the specific type and the user attribute information indicating the attribute of the user of the specific facility Then, from among the tasks stored in advance, the tasks constituting the specific behavior pattern that the user of the specific facility can take are sequentially selected, and the selected series of tasks is the behavior pattern data representing the specific behavior pattern As a simulation for the specific facility by repeating for all the behavior patterns that the user of the specific facility can take. To generate a use possible patterns of behavior data.

  In the invention described in claim 1, the behavior pattern obtained by disassembling a behavior pattern that a user of a specific type of facility (for example, any one of the hospital, commercial facility, and exhibition hall described in claim 5) can take. Each task that prescribes in detail the individual actions that constitute the is stored in advance. For example, if a particular type of facility is a hospital, the tasks may include initial examination reception, reexamination reception, examination, endoscope, echo, electrocardiogram, general account, automatic accounting, in-hospital prescription, out-of-hospital prescription, and the like. In the invention described in claim 1, based on the facility operation condition information indicating the operation condition of the specific facility belonging to the specific species and the user attribute information indicating the attribute of the user of the specific facility, The user of the specific facility is to sequentially select the tasks that constitute the specific behavior pattern that can be taken by the user of the specific facility and store the selected series of tasks as behavior pattern data representing the specific behavior pattern. By repeating for all the behavior patterns to be obtained, behavior pattern data that can be used for the simulation related to the specific facility is generated.

  Since the individual tasks in the invention described in claim 1 cover the individual behaviors that constitute the behavior patterns that can be taken by users of a specific type of facility, as described above, among the tasks stored in advance. By selecting sequentially, it is possible to easily generate behavior pattern data covering behavior patterns that can be taken by users of a specific facility belonging to a specific species. Further, if the facilities for which behavior pattern data is to be generated are the same type of facility, task data can be commonly used for generating the behavior pattern data. In the first aspect of the invention, the selection of the task for generating the behavior pattern data may be automatically performed by the computer based on the facility operation condition information and the user attribute information, or may be performed semi-automatically. (For example, the computer simply displays a list of selectable tasks, and the selection of the task itself is performed by a human).

  In the invention described in claim 1, the facility operation condition information and the user attribute information only need to include information capable of determining an action pattern that can be taken by the user of the specific facility. If it is a hospital, as described in claim 6 as an example, the facility operation condition information of a specific hospital as a specific facility includes medical subject information indicating a medical subject provided in the specific hospital, the specific Accounting method information that represents the accounting method for each medical subject in the hospital, special condition information that represents the condition that causes a special order of tasks for each medical subject, and user attribute information for a specific hospital , Treatment / inspection information that represents the proportion of each treatment subject or various examinations, reexamination information that represents the proportion of reexamination for each treatment subject, and other department visit information that represents the proportion of other department visits for each treatment subject , For each medical subject It can include prescription information representing a different prescription issued proportions outside-hospital.

  As described above, in the conventional simulation program, the behavior pattern of each virtual user on the simulation becomes a behavior pattern imitating the behavior pattern of the actual user, and depending on the behavior pattern of each virtual user. Covering behavior patterns that can be taken by actual users in actual facilities is realized by a conditional branching algorithm built into the program. On the other hand, the behavior pattern data generated by the invention according to claim 1 is data covering behavior patterns that a user can take in a specific facility, and a conditional branch algorithm ( Algorithms that need to be customized according to operational conditions that differ for each facility are expressed as data. Therefore, since it is possible to perform a simulation with a program using a certain algorithm by performing a simulation related to a specific facility using the behavior pattern data generated by applying the invention of claim 1, The labor for performing the simulation can be reduced.

  In the invention described in claim 1, in a facility such as a hospital where the number of actions constituting the user's action pattern is large and the number of types of action patterns is likely to increase, the number of tasks themselves is very large. Often increases. In such a case, for example, as described in claim 2, each individual task is stored in association with any one of a plurality of blocks that classify the individual actions constituting the action pattern. After sequentially selecting the blocks corresponding to the action patterns, it is preferable to sequentially select the tasks constituting the specific action pattern from the task group corresponding to the individual blocks for each selected block.

  According to the second aspect of the present invention, each of the individual tasks is divided into a plurality of blocks for classifying the individual behaviors constituting the behavior pattern (for example, each behavior constituting the user's behavior pattern in the hospital is “reception”, “diagnosis” ”,“ Treatment ”,“ Physiological examination ”,“ Radiation examination ”,“ Accounting ”, and“ Drug ”can be classified into each block), and each task is classified in advance for each block. It will be stored in the state. According to the second aspect of the present invention, after sequentially selecting blocks corresponding to a specific action pattern, a specific action pattern is configured from a task group corresponding to each block for each selected individual block. Tasks are sequentially selected, so that task selection is facilitated even when the number of tasks themselves is very large, and tasks corresponding to specific blocks among the selected individual blocks are assigned to the specific blocks. By simply changing to another corresponding task, it is possible to generate action pattern data corresponding to another action pattern that can be taken by a user at a specific facility, so all the action patterns that a user at a specific facility can take It is also possible to easily generate behavior pattern data.

  Further, when a specific type of facility is a facility that provides a plurality of types of services, the user's behavior pattern often differs depending on which service the user receives. For example, a hospital, which is one of the specific types of facilities, often has a plurality of clinical subjects, but the behavior pattern of the user in the hospital is that any clinical subject (this clinical subject is the above service) This often depends on whether or not In consideration of the above, in the invention described in claim 1, for example, as described in claim 3, the facility operation condition information includes provided service information that defines a service provided to the user in the specific facility. As an action pattern that a user of a specific type of facility can take, an action pattern in which the user uses one of various services that may be provided to the user at a specific type of facility is assumed. Each task is stored in association with any of various services that may be provided to the user at a specific type of facility, and generation of behavior pattern data is performed for each service specified in the provided service information. In addition, it is preferable to select a task constituting each behavior pattern from a task group associated with a service corresponding to each behavior pattern.

  In the invention according to claim 3, as an action pattern that a user of a specific type of facility can take, an action pattern in which the user uses any of various services that may be provided to the user at the specific type of facility Since each task is stored in association with any of various services that may be provided to users at a specific type of facility, each task is classified in advance for each service. It will be stored in the state. Further, in the invention according to claim 3, the facility operation condition information includes provided service information, and an individual service defined by the provided service information for generating behavior pattern data (provided to a user at a specific facility). For each service), and the tasks that make up each behavior pattern are selected from the task group associated with the service corresponding to each behavior pattern, so the number of tasks themselves is very large. Even in this case, task selection and action pattern data generation are facilitated.

  Further, the task according to the invention of claim 1 is a task that stores a plurality of types of facilities, respectively, and constitutes a specific behavior pattern that a user of the specific facility can take, as described in claim 4, for example. May be selected from the tasks corresponding to the type of the specific facility. Thereby, it becomes possible to generate action pattern data of different types of facilities.

  The behavior pattern data generation device according to the invention of claim 7 defines in detail each behavior constituting the behavior pattern obtained by decomposing the behavior pattern that can be taken by a user of a specific type of facility. Based on storage means for storing individual tasks in advance, facility operation condition information indicating operation conditions of a specific facility belonging to the specific type, and user attribute information indicating attributes of a user of the specific facility, the storage means The tasks that constitute a specific behavior pattern that can be taken by the user of the specific facility are sequentially selected from the stored tasks, and the selected series of tasks are stored as behavior pattern data representing the specific behavior pattern. Is repeated for all behavior patterns that can be taken by the user of the specific facility, thereby simulating the specific facility. It is configured to include a generation means for generating the behavior pattern data available.

  In the behavior pattern data generating device according to the seventh aspect of the present invention, the same task as the first aspect of the invention is stored in the storage means, and the generation means is the same as the first aspect of the invention. Since the pattern data is generated, the labor for performing the simulation related to the specific facility can be reduced, as in the first aspect of the invention.

  The behavior pattern data generation device according to the invention of claim 8 prescribes in detail each behavior constituting the behavior pattern obtained by decomposing a behavior pattern that a user of a specific type of facility can take. Storage means for storing individual tasks in advance, display means for displaying the tasks stored in the storage means as options, facility operation condition information indicating operation conditions of a specific facility belonging to the specific type, and the specific facility Based on user attribute information representing user attributes, the operator sequentially selects a task that constitutes a specific action pattern that can be taken by the user of the specific facility from the tasks displayed by the display means, The storage means stores the selected series of tasks as behavior pattern data representing the specific behavior pattern. Who is repeated for all the behavior patterns that may take, is configured to include a, a generating auxiliary means for generating a behavior pattern data available simulation of the specific facility.

  In the behavior pattern data generation device according to the invention described in claim 8, a task similar to that of the invention described in claim 1 is stored in the storage means, and the task stored in the storage means is displayed as an option by the display means. Is done. The generation assisting means according to the invention described in claim 8 is a display means based on facility operating condition information indicating operating conditions of a specified facility belonging to a specified species and user attribute information indicating attributes of a user of the specified facility. The tasks that make up a specific behavior pattern that a user at a specific facility can take are sequentially selected from among the tasks displayed by the operator, and the selected series of tasks is stored as behavior pattern data representing the specific behavior pattern. The action pattern data that can be used for the simulation related to the specific facility is generated by repeating the storage in the means for all the behavior patterns that the user of the specific facility can take.

  In the invention described in claim 8, although the task selection itself is performed by the operator, the task as an option is displayed by the display means, so that the operator can easily select the task. Further, in the invention described in claim 8, the task selection by the operator is performed based on the facility operation condition information and the user attribute information as in the invention described in claim 1, and the same as in the invention described in claim 1. Since the action pattern data is generated, the labor for performing the simulation related to the specific facility can be reduced as in the first aspect of the invention.

  The program according to the invention described in claim 9 preliminarily stores individual tasks that prescribe in detail the individual behaviors constituting the behavior pattern obtained by decomposing the behavior patterns that a user of a specific type of facility can take. A computer having storage means for storing is stored in the storage means based on facility operation condition information indicating operation conditions of a specific facility belonging to the specific species and user attribute information indicating attributes of a user of the specific facility. The tasks constituting the specific behavior pattern that can be taken by the user of the specific facility are sequentially selected from among the tasks that have been performed, and the selected series of tasks are stored in the storage means as behavior pattern data representing the specific behavior pattern. This simulation is repeated for all the behavior patterns that the user of the specific facility can take. To function as a generating means for generating a behavior pattern data available down.

  Since the program according to the ninth aspect of the invention is a program for causing a computer having the storage means to function as the generation means, the computer executes the program according to the ninth aspect of the invention. As a result, the computer functions as the behavior pattern data generation device according to claim 7, and, similarly to the inventions according to claims 1 and 7, reduces the labor for performing the simulation related to the specific facility. can do.

  The program according to the invention described in claim 10 preliminarily stores individual tasks that prescribe in detail the individual behaviors constituting the behavior pattern, which are obtained by decomposing the behavior patterns that a user of a specific type of facility can take. A computer having a storage means for storing, a display means for displaying a task stored in the storage means as an option, a facility operation condition information indicating an operation condition of a specific facility belonging to the specific species, and the specific facility Based on user attribute information representing user attributes, the operator sequentially selects a task that constitutes a specific action pattern that can be taken by the user of the specific facility from the tasks displayed by the display means, Storing the selected series of tasks in the storage means as behavior pattern data representing the particular behavior pattern; By repeated for all action pattern user of setting can take, to function as a generator an auxiliary means for generating behavioral pattern data available simulation of the specific facility.

  The program according to the invention described in claim 10 is a program for causing a computer including the storage means to function as a display means and a generation assisting means. Therefore, the computer executes the program according to the invention according to claim 10. When executed, the computer functions as the behavior pattern data generating device according to claim 8, and, similarly to the inventions according to claim 1 and claim 8, the labor for performing the simulation for the specific facility is reduced. Can be reduced.

  As described above, the present invention stores in advance individual tasks that prescribe in detail the individual behaviors that constitute the behavior patterns that a user of a specific type of facility can take, and the operating conditions of the specific facility and the specific facility Based on the user's attributes, the tasks that make up a specific behavior pattern that can be taken by a user at a specific facility are sequentially selected from the tasks stored in advance, and the selected series of tasks are assigned a specific behavior pattern. To store behavior pattern data that can be used for simulations related to specific facilities by repeating all behavior patterns that can be taken by users of the specific facilities to perform simulations related to specific facilities It has an excellent effect of reducing labor.

  Hereinafter, an example of an embodiment of the present invention will be described in detail with reference to the drawings. FIG. 1 shows a personal computer (PC) 10 to which the present invention can be applied. The PC 10 is configured by connecting a CPU 10A, a ROM 10B, a RAM 10C, and an input / output port 10D to each other via a bus 10E including a data bus, a control bus, an address bus, and the like. The input / output port 10D is a CD 12 for reading out information from a display 12, a keyboard 14, a mouse 16, a printer 18, a hard disk drive (HDD) 20, and a CD-ROM 22 as various input / output devices. -ROM drives 24 are connected to each other.

  A behavior pattern data generation program for performing behavior pattern data generation processing described later is installed in the HDD 20 of the PC 10. There are several methods for installing (transferring) the behavior pattern data generation program to the PC 10. For example, the behavior pattern data generation program is recorded on the CD-ROM 22 together with the setup program, and the CD-ROM 22 is stored in the CD-ROM. If the drive 24 is set and the CPU 10A is instructed to execute the setup program, the behavior pattern data generation program is sequentially read from the CD-ROM 22, and the read behavior pattern data generation program is sequentially written to the HDD 20. Thus, the behavior pattern data generation program is installed. This behavior pattern data generation program corresponds to the program according to claim 9 (or claim 10), and the PC 10 executes the behavior pattern data generation program so that the PC 10 is claimed in claim 7 (or claim 8). It functions as an action pattern data generation device described in 1.

  Next, the operation of this embodiment will be described. A template necessary for executing the behavior pattern data generation process is added to the behavior pattern data generation program according to the present embodiment, and this template is simultaneously stored in the HDD 20 when the behavior pattern data generation program is installed. An example of the template according to the present embodiment is shown in FIG.

  As shown in FIG. 2, the template according to the present embodiment is prepared for each type of facility (hospital, commercial facility, exhibition hall A, exhibition hall B,...) For generating behavior pattern data. The template corresponding to is configured to include a large number of tasks (representing task data) that define in detail the individual behaviors that constitute the behavior patterns that can be taken by a specific type of facility user. In the example of FIG. 2, the tasks corresponding to hospital users (patients) are “First Visit”, “Revisit”, “Reservation”, “First Visit”, “Diagnosis”, “Revisit”, “Other Department”, “Central” The “treatment room”, “specimen test”, “medical treatment room”, etc. are shown. Each task (data) enumerates all the action patterns that a user can take for each facility, decomposes the enumerated action patterns into individual actions constituting the action pattern, and displays the decomposed individual actions. It can be recognized by analyzing.

  In addition, various facilities that generate behavior pattern data usually provide multiple types of services to users (for example, medical departments such as internal medicine, surgery, and orthopedics in hospitals correspond to the above services), Individual behavior patterns that a user of a specific type of facility can take are often greatly different depending on the service to be used among a plurality of types of services provided by the user at the specific type of facility. Therefore, the above-described enumeration of user behavior patterns and task recognition are performed in units of individual services provided at various facilities, and the recognized individual tasks (data) are stored in association with specific services. Is done. In the example of FIG. 2, enumeration of behavior patterns and recognition of tasks of hospital users is performed for each of a plurality of medical subjects installed in the hospital, so that each recognized task (data) The state stored in association with the medical subject is shown (in FIG. 2, the task is shown in detail only for the medical subject “orthopedic surgery” in order to avoid complication of the drawing).

  Furthermore, in this embodiment, when decomposing and analyzing the enumerated action patterns into individual actions, a plurality of action types (referred to as blocks) for classifying the decomposed individual actions are determined, and the recognized tasks are assigned to a plurality of blocks. It is stored in association with either. In the example of FIG. 2, the behavior patterns constituting the behavior patterns that the orthopedic user of the hospital can take are “reception”, “diagnosis”, “treatment”, “physiological examination”, “radiological examination”, “accounting”, and “drug”. A state in which individual tasks recognized by enumerating all behavior patterns that can be taken by orthopedic users in hospitals are classified and stored in association with any of the above seven types of blocks. It is shown.

  Note that the template according to the present embodiment corresponds to the data of the task according to the present invention (specifically, the task according to claims 2 to 4), and the HDD 20 storing the template has claims 7 and 9. This corresponds to the storage means described in (1).

  Subsequently, when performing a simulation related to the operation of a specific facility, the PC 10 is instructed by the operator to execute the action pattern data generation program to the PC 10 in order to generate action pattern data to be used for the simulation. The action pattern data generation process performed in step 1 will be described with reference to the flowchart of FIG. This behavior pattern data generation process corresponds to the generation means described in claim 7.

  In step 100, as shown in FIG. 4 as an example, the types of facilities (facility for which templates are prepared) capable of generating behavior pattern data in the behavior pattern data generation processing according to the present embodiment are displayed as a list. By displaying the facility type selection screen on the display 12, the operator is requested to select the type of facility for which the behavior pattern data is to be generated. In the next step 102, it is determined whether or not the facility type has been selected, and the determination is repeated until the determination is affirmed.

  When the facility type for generating the behavior pattern data is selected by operating the keyboard 14 or the mouse 16 by the operator, the determination in step 102 is affirmed and the process proceeds to step 104 to correspond to the selected facility type. By displaying an information input screen for inputting facility information and user information on the display 12, the operator is requested to input facility information and user information related to a specific facility that is a behavior pattern data generation target (simulation target). In the next step 106, it is determined whether or not facility information and user information have been input, and the determination is repeated until the determination is affirmed.

  The facility information according to the present embodiment includes information indicating operational conditions of the facility (for example, information indicating various services provided in the facility (this information corresponds to the provided service information described in claim 3), service information, and the like. Information indicating the provision time / location of the user, other information), information indicating the number of employees, etc., and the user information according to the present embodiment is information indicating various attributes of the user (for example, various services). Information indicating the number and transition of users to be used, information for determining the ratio of users taking various behavior patterns, and the like. FIG. 5 shows an information input screen for inputting hospital information as facility information and patient information as user information displayed on the display 12 when a hospital is selected as a facility type for which behavior pattern data is to be generated. An example is shown.

  In the present embodiment, facility information and user information related to a specific facility are collected in advance by conducting interviews with persons concerned with the specific facility for each information item constituting the facility information and user information. The operator operates the keyboard 14 and the mouse 16 to input facility information and user information by inputting information corresponding to each input field on the information input screen.

  The facility information and the user information include information necessary for executing the simulation and information necessary for generating the behavior pattern data (commonly used for executing the simulation and generating the behavior pattern data). The information necessary for generating the behavior pattern data (for example, “medical course” in FIG. 5 and “conditions that cause a special order of tasks” and the like in FIG. 5) among the facility information is the facility operation condition according to the present invention. Information (specifically, the facility operation condition information described in claim 6) includes information necessary for generating behavior pattern data among user information (for example, “Percentage of first visit / revisit / reservation” in FIG. "Percentage of examination", "Percentage of re-examination / other department visit", "Prescription issuance ratio", "Percentage of patients with only medicine / test" etc.) etc.) They are respectively corresponding to the user attribute information).

  When the input of facility information and user information by the operator is completed, the determination in step 106 is affirmed and the process proceeds to step 108, and the service provided at the specific facility for which the behavior pattern data is generated is recognized based on the facility information. A service to be processed in the next step 110 and subsequent steps is selected from the recognized services. In the next step 110, a template corresponding to the facility type of the behavior pattern data generation target and corresponding to the service selected as the processing target in step 108 is selected as a reference template. For example, when “hospital” is selected as the facility type for generating the behavior pattern data and “orthopedic” is selected as the service (medical subject) to be processed, it is associated with “orthopedic” in FIG. A template (a set of a plurality of blocks and tasks) is selected as a reference template.

  In step 112, based on the facility information and user information of the specific facility for which the behavior pattern data is to be generated, among the behavior patterns that can be taken by the user who uses the processing target service provided by the specific facility for which the behavior pattern data is to be generated A block corresponding to a specific action pattern (a block corresponding to one of individual actions constituting the specific action pattern) is selected from a plurality of blocks in the reference template. In the next step 114, based on the facility information and user information, it is determined whether or not the block selected up to now is insufficient as a block representing a specific behavior pattern. If the determination is affirmative, the process proceeds to step 116, and among the individual actions constituting the specific action pattern, a block corresponding to one action that is not selected (block to be added) is a reference template. To check if it exists in.

  In the next step 118, it is determined whether or not a block to be added exists in the reference template. If the determination is affirmative, the process returns to step 112, and a block to be added is selected from a plurality of blocks in the reference template. Note that the block to be added may be the same block as the already selected block. In this case, the same block may be added (selected) by copying the already selected block or the like.

  On the other hand, if the block to be added does not exist in the reference template, the determination in step 118 is denied and the process proceeds to step 120 to notify that the block to be added does not exist in the reference template. By displaying on the display 12 a screen with an input field for inputting information for adding the block to which the message is added, the operator is notified that the block does not exist in the reference template, In addition, an insufficient block addition process is performed in which an operator inputs information instructing addition of the block. When the information for instructing the addition of the block is input, the process returns from step 120 to step 114, and the processes after step 114 are repeated.

  When the selection of a block group representing a specific action pattern is completed in steps 112 to 120 described above, the determination in step 114 is denied and the process proceeds to step 122, and each block of the selected block group becomes a specific action pattern. The selected block group is rearranged so as to line up accordingly. Thereby, selection and rearrangement of the block group corresponding to a specific action pattern is completed.

  In the next step 124 and after, tasks are selected and rearranged based on the above block group. That is, in step 124, based on the facility information and user information, refer to the task corresponding to the specific block of the block group representing the specific action pattern (the block group selected and rearranged in steps 112 to 122). Each of the tasks is selected from a plurality of tasks associated with a specific block in the template. In the next step 126, based on the facility information and user information, it is determined whether or not the task corresponding to the specific block selected up to now is insufficient as a task representing a specific behavior pattern. If the determination is affirmative, the process proceeds to step 128, and whether or not another task to be added corresponding to the specific block exists in a plurality of tasks associated with the specific block in the reference template. To check.

  In the next step 130, it is determined whether or not the task to be added exists in a plurality of tasks associated with the specific block in the reference template. If the determination is affirmative, the process returns to step 126, and a task to be added is selected from a plurality of tasks associated with the specific block. When the task to be added is the same task as the already selected block, the same task may be added (selected) by copying the already selected task.

  On the other hand, if the task to be added does not exist in the plurality of tasks associated with the specific block in the reference template, the determination in step 130 is negative and the process proceeds to step 132 to be added. A message on which a message notifying that a task does not exist in a plurality of tasks associated with a specific block is added and an input field for inputting information for adding the task is provided on the display 12. Displaying the task to notify the operator that the task does not exist in a plurality of tasks associated with the specific block, and causing the operator to input information instructing the addition of the task I do. When the information for instructing the addition of the task is input, the process returns from step 132 to step 126, and the processes after step 126 are repeated.

  When the selection of the task corresponding to the specific block is completed in steps 124 to 132 described above, the determination in step 126 is denied and the process proceeds to step 134, and the task selected according to the specific action pattern (corresponding to the specific block) Sort tasks). In the next step 136, it is determined whether or not tasks have been selected and rearranged for all blocks in the block group corresponding to the specific behavior pattern. If the determination is negative, the process returns to step 124, and steps 124 to 134 are repeated for other blocks that have not selected the corresponding task. When task selection and rearrangement are completed for all blocks in the block group corresponding to the specific action pattern, the determination in step 136 is affirmed and the process proceeds to step 138 to correspond to the specific action pattern determined by the above-described processing. Data representing a series of blocks and tasks is stored in the HDD 20 as behavior pattern data corresponding to a specific behavior pattern.

  In the next step 140, is there a behavior pattern that does not generate / store behavior pattern data among the behavior patterns that can be taken by the user using the processing target service provided by the specific facility for which the behavior pattern data is generated? If the determination is affirmative, the process returns to step 112. Thereby, step 112 to step 140 are repeated until the determination of step 140 is negative.

  More specifically, with respect to steps 112 to 140 described above, “hospital” is selected as the facility type of the action pattern data generation target, and “orthopedics” is selected as the processing target service (medical subject). explain.

  In the present embodiment, the template corresponding to the target facility type = “hospital” / target service (medical subject) = “orthopedic surgery” includes “reception”, “diagnosis”, “treatment”, “physiological examination” as shown in FIG. There are blocks for "radiological examination", "accounting", and "medicine". Whether or not to select each of these blocks as a block corresponding to a behavior pattern that a user (patient) can take is determined based on facility information and user information of a specific facility for which behavior pattern data is generated (a hospital of a specific hospital) Based on the information and patient information), for example, it can be realized by performing the condition determination shown in FIG.

  In other words, most patients undergoing orthopedic surgery at hospitals receive medical examinations. However, some hospitals come home with prescription drugs alone or return home after receiving only tests. There may be. Therefore, when selecting a block (step 112), determining whether there is a missing block (step 114), and determining whether there is an action pattern for which data has not been generated (step 140), the patient information “drug / test only patient If the ratio is 0%, the “diagnosis” block is always selected (only action pattern data including the “diagnosis” block is generated), and the ratio is 0%. If it is larger than this, the behavior pattern data including the “diagnosis” block and the behavior pattern data not including the “diagnosis” block are respectively generated.

  In addition, since whether or not patients undergoing orthopedic surgery receive treatment varies depending on hospitals, patient information is used when selecting blocks, determining whether there are missing blocks, and determining whether there are behavior patterns that have not yet been generated. If the ratio is 0%, the “treatment” block is not selected (only action pattern data not including the “treatment” block is generated), If the ratio is 100%, the “treatment” block is always selected (only action pattern data including the “treatment” block is generated). If the ratio is greater than 0% and less than 100%, the “treatment” is selected. The action pattern data including the block and the action pattern data not including the “treatment” block are respectively generated.

  In addition, because hospitals also differ depending on whether or not patients undergoing orthopedics undergo physiological examinations, when selecting blocks, determining whether there are missing blocks, and determining whether there are behavior patterns that have not yet been generated, Refer to the “physiology test rate (see also FIG. 2)” in the patient information. If the rate is 0%, the “physiology test” block is not selected (behavior pattern data not including the “physiology test” block) If the ratio is 100%, the “physiology test” block must be selected (only the action pattern data including the “physiology test” block is generated), and the ratio is greater than 0% and 100%. If smaller than that, the behavior pattern data including the “physiological examination” block and the behavior pattern data not including the “physiological examination” block are respectively generated.

  In addition, since whether or not patients undergoing orthopedics undergo a radiological examination differs depending on the hospital, patient information is used when selecting blocks, determining whether there are missing blocks, and determining whether there are behavior patterns that have not yet been generated. If the ratio is 0%, the “radiological examination” block is not selected (only the action pattern data not including the “radiological examination” block is selected). Generation), if the ratio is 100%, the “radiological examination” block must be selected (only the action pattern data including the “radiological examination” block is generated), and the ratio is larger than 0% and larger than 100%. If it is smaller, action pattern data including the “radiation examination” block and action pattern data not including the “radiation examination” block are generated.

  There are also differences in whether hospitals receiving orthopedic or non-in-hospital prescription medicines for patients undergoing orthopedic surgery, so block selection, judgment of the presence or absence of missing blocks, and behavior patterns with no data generated When determining the presence or absence of the drug, the “prescription issuance ratio (see also FIG. 2)” of the patient information is referred to, and if the hospital prescription ratio represented by the information is 0%, the “medicine” block is not selected (“ Only generate behavior pattern data that does not include the “medicine” block), be sure to select the “medicine” block if the percentage of hospital prescriptions is 100% (generate only behavior pattern data that includes the “medicine” block) If the hospital prescription ratio is larger than 0% and smaller than 100%, behavior pattern data including a “medicine” block and behavior pattern data not including a “medicine” block are generated.

  In general, patients undergoing orthopedic surgery at a hospital always perform “acceptance” and “accounting”, so in this embodiment, selection of blocks, determination of presence / absence of missing blocks, and actions for which data has not been generated When judging whether or not there is a pattern, the “Reception” and “Account” blocks must be selected regardless of the hospital information and patient information (only the behavior pattern data including the “Reception” and “Account” blocks is generated). However, the present invention is not limited to this. Information that can be used to determine the selection conditions for the “reception” and “accounting” blocks is included in the hospital information or patient information, and “reception” and “ You may make it select the block of "accounting".

  In some hospitals, a patient who undergoes orthopedic surgery may have a medical examination once again after receiving a medical examination / examination, or may receive another medical treatment subject. For this reason, when determining the presence or absence of missing blocks, refer to the “revisit rate” and “percentage of other departments” in the patient information, and if the “revisit rate” is greater than 0%, If the behavior pattern data including a plurality of (diagnosis) blocks (two or three) and the behavior pattern data not including the “diagnosis” block are generated, and the “percentage of other department visits” is greater than 0%, A behavior pattern to which a block corresponding to another department visit is added and a behavior pattern not including a block corresponding to another department visit are generated. The selection of the block corresponding to the other department visit and the task corresponding to the block is performed with reference to the template associated with the next medical department.

  In addition, depending on the hospital, there may be an exceptional behavior pattern in which a patient who undergoes orthopedic surgery has a behavior pattern other than a test belonging to the same block between a plurality of tests belonging to the same block. (For example, an action pattern in which “physiological examination (echo)” enters between “radiological examination (general imaging)” and “radiological examination (CT)” may occur). In this example, it is necessary to add the “radiological examination” block. However, if there is an exceptional behavior pattern as described above, an exception will be made in the “condition that causes a special order of tasks” in the patient information. When determining the presence or absence of missing blocks, it was recognized that there was an exceptional behavior pattern by referring to “conditions that cause a special order of tasks” in the patient information. In some cases, behavior pattern data corresponding to exceptional behavior patterns is also generated by adding corresponding blocks as necessary.

  Next, rearrangement of selected blocks (step 122) will be described. The order relation of individual actions in the behavior pattern of patients who visit a specific medical subject in a hospital (that is, the order relation of individual blocks in a block group selected as a block corresponding to the behavior pattern) is almost constant. Therefore, the rearrangement of the selected block can be realized by setting the order relation of the individual blocks in advance by default and rearranging the individual blocks according to the setting. There may be an exceptional behavior pattern (behavior pattern in which the order of the blocks is exceptional), such as “the patient undergoes a radiological examination before the examination”.

  In this way, even when there is an action pattern in which the order of the blocks is exceptional, the action pattern is defined by the “conditions that cause a special order of tasks” in the patient information. In addition, when determining whether there is an action pattern for which data has not been generated, referring to the “conditions that cause a special order of tasks” in the patient information, and recognizing that there is an action pattern with an exceptional block order As shown in FIG. 7 as an example, the behavior pattern data corresponding to the behavior pattern is also generated by rearranging the blocks according to the behavior pattern in which the order of the blocks is exceptional.

  In addition, regarding the selection and rearrangement of tasks corresponding to individual blocks of the selected block group, for example, when selecting a task corresponding to the “reception” block and determining whether there is an action pattern in which data is not generated, Refer to “Percentage of first visit / revisit / reservation”, and tasks corresponding to the “Reception” block are tasks with the above ratio of 0% or more among the tasks of “Reception for first visit”, “Reception for reconsideration” and “Reservation” It can be performed in the same manner as the selection and rearrangement of the blocks described above, such as generating the behavior pattern data for which each is set.

  When the behavior pattern data corresponding to all the behavior patterns that can be taken by the user who uses the processing target service provided by the specific facility for which the behavior pattern data is to be generated is generated, the determination in step 140 is denied and the processing proceeds to step 142. Then, it is determined whether there is a service for which behavior pattern data has not been generated among services provided by the specific facility. If the determination in step 142 is affirmative, the process returns to step 108, and after setting a service for which behavior pattern data has not been generated as a service to be processed, the processes in and after the next step 110 are repeated. Until the determination in step 142 is negative, steps 108 to 142 are repeated to correspond to all the action patterns that can be taken by the user of the specific facility for which the action pattern data is to be generated (all actions Action pattern data (covering patterns) is generated. When the generation of the behavior pattern data is completed and the determination in step 142 is negative, the behavior pattern data generation process is terminated.

The number of behavior pattern data generated by the behavior pattern data generation process described above will be described with a specific example. The facility for which the behavior pattern data is to be generated is a hospital in which internal medicine and surgery are installed as clinical subjects. The operating conditions of the hospital are that there is no reservation (the tasks corresponding to the “reception” block are three types: “initial reception reception”, “reconsideration reception”, “initial visit reception”), reexamination and no other department reception (“examination” The task corresponding to the block is “diagnosis” only, the treatment room is one room, and there is no “treatment” only patient (the “correspondence” block corresponds to the “treatment room” only, the “treatment” block only) There is no behavior pattern consisting of), there is no patient who is only examined for general radiography, and there is no “physiological examination” block, the task corresponding to the “radiological examination” block is “general radiography” Only, there is no behavior pattern consisting of only the “radiological examination” block), “accounting” is normal accounting only (the task corresponding to the “accounting” block is “normal accounting” only), and “medicine” only patients If there is no, “treatment”, “radiological examination”, and “medicine” are two types, each with / without,
2 (clinical subjects) x 3 (reception) x 1 (examination) x 2 (treatment) x 3 (radiological examination) x 2 (treatment) x 1 (accounting) x 2 (drugs) = 48
Thus, behavior pattern data representing 48 behavior patterns is generated.

  When the generation of the behavior pattern data by the above-described behavior pattern data generation processing is completed, a simulation related to the operation of the specific facility is performed by executing a predetermined simulation program on the PC 10. This simulation is based on the facility information and user information input in the behavior pattern data generation process, and each of the virtual users of the same number as the actual number of users in the facility model that models a specific facility, By accumulating the start time and end time of individual actions (tasks) for each virtual user as a unit by making them act with an action pattern that mimics the actual user's action pattern according to the operating conditions of a specific facility Thus, the distribution of users in each part of the facility model in each time zone and the required time for each individual action (task) of the user are output as simulation results.

  Here, in the present embodiment, the behavior pattern data covering the behavior patterns that can be taken by the user of the specific facility is generated by the behavior pattern data generation processing described above. Behavior pattern data is used to determine the behavior pattern. Specifically, for example, the proportion of virtual users who act according to each behavior pattern represented by the behavior pattern data is the proportion of users who take each behavior pattern among actual users. Based on user information, the behavior pattern of each virtual user is determined by selecting the behavior pattern of each virtual user from a plurality of behavior patterns represented by the behavior pattern data so that they match. Yes.

  Once the behavior pattern of each virtual user on the simulation is determined as described above, the behavior pattern of each virtual user can be changed by simply causing each virtual user to act according to the determined behavior pattern. Since the behavior pattern that matches the actual user's behavior pattern and the behavior pattern that can be taken by the actual user at the specific facility is covered by the behavior pattern of each virtual user, the simulation program can be Each time a virtual user finishes a single action, it is not necessary to make an algorithm that makes a complicated determination and determines the next action of the virtual user. It is only necessary to generate action pattern data corresponding to each facility, and each application is performed by a single simulation program. Simulation related to the operation of can be performed. Therefore, it is not necessary to customize the simulation program according to the operating conditions of the specific facility when executing the simulation related to the specific facility, and the labor for performing the simulation can be reduced.

  In addition, in the facility information (hospital information) and user information (patient information) shown in FIG. 5 as well, there are few information items provided only for the generation of behavior pattern data (for example, “special tasks”). In order to generate the action pattern data according to the present invention, the labor for collection (hearing etc.) and input of facility information and user information is not significantly increased.

  In the above description, an example in which behavior pattern data is automatically generated based on facility information and user information has been described. However, the present invention is not limited to this. A list may be displayed, and selection of blocks and tasks may be left to the operator. This aspect corresponds to the inventions described in claims 8 and 10. Moreover, in the said aspect, when facility information and user information are already input, it is preferable to display the content of facility information and user information on the display 12 simultaneously with displaying a list of blocks and tasks. This makes it easier for the operator to select blocks and tasks.

  Further, in the above description, an example in which behavior pattern data is generated by performing selection and rearrangement of tasks corresponding to each block after performing selection and rearrangement of blocks has been described. By classifying the types of actions (tasks) into blocks, it is intended to organize a huge number of tasks in the template and facilitate task selection. The action patterns themselves are defined by the tasks. In particular, when the number of tasks in the template is small, or when the number of tasks corresponding to each block is one or a small number, the blocks are omitted and the tasks are directly selected and rearranged. You may do it. Conversely, if the number of tasks in the template is very large, or if the number of tasks corresponding to individual blocks is very large, the individual actions (tasks) of the user in the same way as blocks or blocks. The classification items for classifying the items may have a hierarchical structure, and the selection and rearrangement of the tasks may be performed after selection and rearrangement of blocks (or similar classification items) over a plurality of hierarchies.

It is a block diagram which shows schematic structure of PC concerning this embodiment. It is a conceptual diagram which shows the structure of a template. It is a flowchart which shows the content of action pattern data generation processing. It is an image figure which shows an example of a facility classification selection screen. It is an image figure which shows an example of an information input screen. It is explanatory drawing for demonstrating an example of block selection. It is explanatory drawing for demonstrating an example of rearrangement of a block.

Explanation of symbols

10 PC
12 Display 14 Keyboard 16 Mouse 20 HDD

Claims (10)

Preliminarily storing individual tasks that prescribe in detail the individual behaviors constituting the behavior pattern, obtained by decomposing the behavior patterns that a user of a specific type of facility can take,
Based on the facility operation condition information indicating the operation condition of the specific facility belonging to the specific type and the user attribute information indicating the attribute of the user of the specific facility, the use of the specific facility from the tasks stored in advance. It is possible to sequentially select tasks that constitute a specific behavior pattern that a person can take, and to store the selected series of tasks as behavior pattern data that represents the specific behavior pattern. A behavior pattern data generation method that generates behavior pattern data that can be used for simulation related to the specific facility by repeating the behavior pattern. Each of the individual tasks is stored in association with any of a plurality of blocks that classify the individual actions that constitute the action pattern,
After sequentially selecting the blocks corresponding to the specific behavior pattern, for each selected individual block, sequentially selecting the tasks constituting the specific behavior pattern from the task group corresponding to the individual block. The method for generating action pattern data according to claim 1. The facility operation condition information includes provided service information that defines a service provided to a user at the specific facility,
As an action pattern that a user of a specific type of facility can take, an action pattern in which the user uses any of various services that may be provided to the user at the specific type of facility is assumed. Each of the tasks is stored in association with any of various services that may be provided to the user at a specific type of facility,
The behavior pattern data is generated for each service specified by the provided service information, and the tasks constituting each behavior pattern are included in the task group associated with the service corresponding to each behavior pattern. The method of generating behavior pattern data according to claim 1, wherein: The task is stored for each of a plurality of types of facilities,
The method of generating behavior pattern data according to claim 1, wherein a task constituting a specific behavior pattern that can be taken by a user of the specific facility is selected from tasks corresponding to the type of the specific facility.   2. The behavior pattern data generation method according to claim 1, wherein the specific type of facility is any one of a hospital, a commercial facility, and an exhibition hall. The specific type of facility is a hospital;
The facility operation condition information of a specific hospital as the specific facility includes medical subject information representing a medical subject provided in the specific hospital, and accounting method information representing an accounting method for each clinical subject in the specific hospital , Includes special condition information that indicates the conditions under which a special order of tasks occurs for each medical subject,
The user attribute information of the specific hospital includes treatment / examination information indicating the proportion of treatment or various examinations for each medical subject, re-examination information indicating the proportion of re-examination for each medical subject, 2. The method for generating behavior pattern data according to claim 1, comprising: other department consultation information indicating a ratio of other department consultations, and prescription information indicating a prescription issuance ratio for each medical subject for each out-of-hospital / in-hospital. . Storage means for preliminarily storing individual tasks that define in detail the individual behaviors constituting the behavior pattern, obtained by decomposing the behavior patterns that a user of a specific type of facility can take;
Based on the facility operation condition information indicating the operation condition of the specific facility belonging to the specific type and the user attribute information indicating the attribute of the user of the specific facility, the specific facility is selected from the tasks stored in the storage unit. Use of the specific facility to sequentially select tasks constituting a specific behavior pattern that can be taken by the user of the user and store the selected series of tasks in the storage means as behavior pattern data representing the specific behavior pattern Generating means for generating action pattern data that can be used for simulation related to the specific facility by repeating for all action patterns that the person can take;
A device for generating behavior pattern data. Storage means for preliminarily storing individual tasks that define in detail the individual behaviors constituting the behavior pattern, obtained by decomposing the behavior patterns that a user of a specific type of facility can take;
Display means for displaying tasks stored in the storage means as options;
Based on the facility operation condition information indicating the operation condition of the specific facility belonging to the specific species and the user attribute information indicating the attribute of the user of the specific facility, the specific facility is selected from the tasks displayed by the display means. Causing the operator to sequentially select tasks constituting a specific behavior pattern that can be taken by the user, and storing the selected series of tasks in the storage means as behavior pattern data representing the specific behavior pattern. A generation assisting means for generating action pattern data that can be used for simulation related to the specific facility by repeating for all the action patterns that a user of the facility can take,
A device for generating action pattern data including: A computer comprising storage means for preliminarily storing individual tasks that define in detail the individual behaviors constituting the behavior pattern, obtained by decomposing the behavior patterns that a user of a specific type of facility can take;
Based on the facility operation condition information indicating the operation condition of the specific facility belonging to the specific type and the user attribute information indicating the attribute of the user of the specific facility, the specific facility is selected from the tasks stored in the storage unit. Use of the specific facility to sequentially select tasks constituting a specific behavior pattern that can be taken by the user of the user and store the selected series of tasks in the storage means as behavior pattern data representing the specific behavior pattern A program for functioning as generation means for generating action pattern data that can be used for simulation related to the specific facility by repeating for all action patterns that a person can take. A computer comprising storage means for preliminarily storing individual tasks that define in detail the individual behaviors constituting the behavior pattern, obtained by decomposing the behavior patterns that a user of a specific type of facility can take;
Display means for displaying tasks stored in the storage means as options;
And, based on the facility operation condition information indicating the operation condition of the specific facility belonging to the specific species and the user attribute information indicating the attribute of the user of the specific facility, the task is displayed from among the tasks displayed by the display means. Causing the operator to sequentially select tasks that constitute a specific behavior pattern that a user of a specific facility can take, and storing the selected series of tasks in the storage means as behavior pattern data representing the specific behavior pattern; A program for functioning as generation assisting means for generating action pattern data that can be used for a simulation related to a specific facility by repeating all action patterns that a user of the specific facility can take.

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