JP7383391B2 - Medical test management system, ordering system and program - Google Patents

Description

Embodiments of the present invention relate to a medical test management system, an ordering system, and a program.

Hospital testing schedules are managed through an ordering system. Usually, for example, a doctor checks the availability of equipment and makes an appointment for a test.

In this method, the patient's test schedule is determined at the time a test order is placed. However, for example, since test reservations are made with only the availability of equipment in mind, tests for various cases may be booked separately, reducing test efficiency.

Special Publication No. 2007-527042

The problem that the present invention seeks to solve is to optimize the order in which tests are performed.

The medical management inspection system according to the embodiment includes a first calculation section and a second calculation section. The first calculation unit calculates the time between test orders. The second calculation unit calculates the order in which the plurality of inspection orders are executed based on the time calculated by the first calculation unit.

FIG. 1 is a diagram illustrating a medical test management system according to an embodiment. FIG. 2 is a flowchart illustrating the flow of processing performed by the medical test management system according to the first embodiment. FIG. 3 is a diagram showing an example of a display screen of the medical test management system according to the first embodiment. FIG. 4 is a diagram showing an example of a display screen of the medical test management system according to the first embodiment. FIG. 5 is a diagram showing an example of processing performed by the medical test management system according to the first embodiment. FIG. 6 is a diagram showing an example of a display screen of the medical test management system according to the first embodiment. FIG. 7 is a diagram showing an example of a display screen of the medical test management system according to the first embodiment. FIG. 8 is a diagram showing an example of a display screen of a medical test management system according to a comparative example. FIG. 9 is a flowchart illustrating the flow of processing for generating a trained model in a medical test management system according to another embodiment.

Hereinafter, a medical test management system, an ordering system, and a program according to an embodiment will be described with reference to the drawings. Here, the same components are given the same reference numerals, and redundant explanations will be omitted.

(First embodiment)
FIG. 1 is a diagram showing a medical test management system 130 and the like according to an embodiment. As shown in FIG. 1, the medical test management system 130 includes a database 132, a memory 133, a processing circuit 150, an input device 134, and a display 135. Further, the medical test management system 130 is connected to a reception unit 140 for receiving test orders from users and the medical diagnostic apparatus 100. Note that the medical test management system 130 and the reception section 140 constitute an ordering system 200.

The processing circuit 150 includes an interface function 150a, a control function 150b, a first calculation function 150c, and a second calculation function 150d.

In the first embodiment, each processing function performed by the interface function 150a, the control function 150b, the first calculation function 150c, and the second calculation function 150d is stored in the memory 133 in the form of a computer-executable program. There is. The processing circuit 150 is a processor that reads programs from the memory 133 and executes them to implement functions corresponding to each program. In other words, the processing circuit 150 in a state where each program is read has each function shown in the processing circuit 150 of FIG. In addition, in FIG. 1, the processing functions performed by the interface function 131, the control function 150b, the first calculation function 150c, and the second calculation function 150d will be described as being realized by the single processing circuit 150. The processing circuit 150 may be configured by combining a plurality of independent processors, and functions may be realized by each processor executing a program. In other words, each of the above functions may be configured as a program, and one processing circuit 150 may execute each program. As another example, certain functions may be implemented in dedicated, independent program execution circuitry. Note that in FIG. 1, the control function 150b, the first calculation function 150c, and the second calculation function 150d are examples of a control section, a first calculation section, and a second calculation section, respectively.

The term "processor" used in the above description refers to, for example, a CPU (Central Processing Unit), a GPU (Graphical Processing Unit), or an Application Specific Integrated Circuit. cuit: ASIC), programmable logic devices (e.g. simple Simple Programmable Logic Device (SPLD), Complex Programmable Logic Device (CPLD), and Field Programmable Gate Array (Field Programmable Gate) Array: means a circuit such as FPGA). The processor implements functions by reading and executing programs stored in the memory 133.

Further, instead of storing the program in the memory 133, the program may be directly incorporated into the circuit of the processor. In this case, the processor realizes its functions by reading and executing a program built into the circuit.

The memory 133 is, for example, a RAM (Random Access Memory), a semiconductor memory device such as a flash memory, a hard disk, an optical disk, etc., and stores data generated by the processing circuit 150 and data included in the database 132.

The database 132 is a variety of databases included in the medical test management system 130. The data contained in these databases 132 is stored in the memory 133, for example, in the form of predetermined data. The processing circuit 150 can obtain the contents of the database 132 by reading out these data stored in the memory 133, for example.

The database 132 includes various databases such as a protocol information database 132a, a past examination information database 132b, a patient information database 132c, a work information database 132d, and a setting information time database 132e.

The protocol information database 132a is a database related to imaging protocol information, and stores scan parameters of the medical diagnostic apparatus 100, such as the tube voltage during imaging in an X-ray CT apparatus, the imaging range and imaging sequence to be used in an MRI apparatus, and the like. It is a database. Note that the imaging (imaging) protocol information refers to scan parameters of each medical diagnostic apparatus 100 that are set for each examination order.

In the protocol information database 132a, the imaging protocol, the name of the target medical diagnostic device, and the examination time required to execute the protocol may be associated with each other and compiled into a database.

In addition, as another example, the protocol information database 132a is configured as a database having information only on imaging (imaging) protocols, and the processing circuit 150 that has acquired the protocol information from the protocol information database 132a can store names of medical diagnostic equipment, Information such as examination time may be automatically acquired.

The past examination information database 132b is a database related to past examination information, and includes, for example, equipment name, examination date, examination content, patient name, name of medical staff in charge of examination/image interpretation, etc. in a list format. It is a database with In addition to this, the past examination information database 132b includes information on the start and end times of examinations, the time actually required for the examination, for example, the time required when examination B is performed after examination A, etc. may also be included.

The patient information database 132c is a database related to patient information, and includes, for example, the patient's name, age, gender, test history, medical history, BMI, whether the patient is an adult or a child, contraindicated drugs, etc., in a list format. This is a database created by For example, a medical record is an example of the patient information database 132c. In addition to this, the patient information database 132c may have information regarding, for example, which doctor performed an examination/interpretation for a certain patient in the past. This database is used to implement a test order order such that a doctor who previously examined a certain patient will examine that patient as much as possible in subsequent examinations.

The work information database 132d is a database in which the work information of medical staff is summarized. For example, the name, type/type, medical department, work history, and presence or absence of qualifications of medical staff. For example, doctor A is mainly in charge of contrast examinations. This is a database in which the name of the equipment for which the person is primarily in charge, work shift, working time, clocking out time, etc. are summarized in a list format.

The setting information time database 132e is a database related to the setting time of the device, which also takes into account switching of the settings of the medical diagnostic device itself at the time of imaging. It is a database organized in a format. An example of such a device setting change is when the medical diagnostic device 100 is an MRI device and the device setting is changed due to an increase or decrease in the number of coils. Since it is necessary to increase or decrease the number of MRI coils depending on the examination, extra time may be required to remove or attach the coils. Therefore, the setting information time database 132e is, for example, "+0 minutes" in the case of "no increase or decrease in the number of coils", and "+5 minutes" in the case of "with the removal of coils" or "with the installation of coils". It becomes a database containing data such as ``.

Further, the setting information time database 132e may include information such as a gap time between examinations. As an example, the setting information time database 132e indicates "+0 minutes" for "normal cases", "+1 minutes" for "when changing the tube voltage", and "+1 minutes" for "when changing the inspection range". It is a database that summarizes various conditions and gap times between tests in list format, such as "+3 minutes" for "patients who are children" and "+5 minutes" for "if the patient is a child". be.

Further, the setting information time database 132e may include information related to maintenance of the medical diagnostic apparatus 100, for example. In such a case, the setting information time database 132e is a database in which the type of maintenance and the time related to maintenance are summarized in a list format, for example, in the case of "regular maintenance", it is "60 minutes". be.

The input device 134 and the reception unit 140 receive various instructions and information input from the user. The input device 134 and the reception unit 140 are, for example, a pointing device such as a mouse or a trackball, a selection device such as a mode changeover switch, or an input device such as a keyboard. The display 135 displays a GUI (Graphical User Interface) for accepting input of imaging conditions, an image generated by the processing circuit 150, etc. under the control of the processing circuit 150 having a control function 150b. The display 135 is, for example, a display device such as a liquid crystal display.

Note that the receiving unit 140 mainly receives input of inspection order information from the user, and the input device 134 mainly receives all other user inputs.

The processing circuit 150 exchanges data with the reception unit 140 and the medical diagnostic apparatus 100 using the control function 150b.

The medical diagnostic device 100 is a magnetic resonance imaging (MRI) device, an X-ray CT (Computed Tomography) device, an ultrasound diagnostic device, a nuclear magnetic imaging device, an X-ray diagnostic device, or the like. The medical diagnostic device 100 is in a state where it can communicate with the medical management testing system 130 directly or indirectly through, for example, an in-hospital LAN (Local Area Network) set up within the hospital. Medical image data and the like are mutually transmitted and received based on the Digital Imaging and Communications in Medicine (Digital Imaging and Communications in Medicine) standard.

Next, the background of the magnetic resonance imaging apparatus according to the embodiment will be briefly explained.

Hospital testing schedules are managed through an ordering system. Usually, for example, a doctor checks the availability of equipment and makes an appointment for a test.

In this method, the patient's test schedule is determined at the time a test order is placed. However, for example, since test reservations are made with only the availability of equipment in mind, tests for various cases may be booked separately, reducing test efficiency.

Another option is to calculate the order by simply arranging test orders with similar imaging parameters and executing the tests, but the overall workflow from imaging to diagnosis, such as device setup time and image interpretation time, should be considered. This may not lead to shortening of the entire workflow from imaging to diagnosis.

Therefore, in the medical test management system 130 according to the embodiment, a logic is introduced to set the test schedule so that the degree of change after changing the imaging conditions takes into consideration the case of the patient to be examined, the imaging conditions of the device, etc. to optimize the order of inspection orders. As an example, the medical test management system 130 according to the embodiment includes a processing circuit 150. The processing circuit 150 uses the first calculation function 150c to calculate the time between test orders based on information accompanying the test orders. The processing circuit 150 uses the second calculation function 150d to calculate the order in which the plurality of test orders are to be executed, based on the time between test orders calculated by the first calculation function.

This makes it possible to perform the inspection efficiently.

The details of this processing will be explained using FIG. 2 and FIGS. 3 to 9. FIG. 2 is a flowchart illustrating the flow of processing performed by the medical test management system according to the first embodiment.

First, in step S100, the reception unit 140 receives input of information regarding an inspection order from a user. An example of such a GUI is shown in FIG. FIG. 3 is an example of a display screen of the medical test management system 130 according to the first embodiment.

That is, in step S100, when the user clicks the button 10, the reception unit 140 receives an input of an inspection order from the user through the display panel 11 on the display (not shown). As an example, the reception unit 140 receives input of the order creation period, that is, the earliest date and latest date among the candidate dates and times when the test is to be performed, through the button 12a and the button 12b. Further, the reception unit 140 receives input as to whether or not the patient is a priority patient whose reservation is given priority over other patients through the buttons 14a and 14b. Further, the reception unit 140 receives input of each examination time through buttons 13a, 13b, 13c, etc. Further, the receiving unit 140 receives input of the device name of the medical diagnostic device 100 used for the test through the buttons 15a, 15b, 15c, etc. When the user clicks button 16, entry of one test order is completed and the user proceeds to enter the next test order. When all test orders are completed, the user clicks button 17 to complete the test order input.

Note that the information input in step S100 may be accepted for each test order, that is, for each patient, or for example, when a certain number of test orders have accumulated, Input may be accepted all at once.

The receiving unit 140 transmits information regarding the accepted test order to the medical test management system 130. The processing circuit 150 uses the interface function 150a to acquire information regarding test orders from the reception unit 140, and when a certain amount of test order queues has accumulated, the medical test management system 130 takes charge of processing from step S110 onward. do. As an example, if one day's worth of test order queues is accumulated in one medical department, such as the radiology department, the processing circuit 150 performs the processing from step S110 onwards.

Subsequently, in step S110, the input device 134 receives input from the user of preset information representing guidelines for optimizing the inspection order. In other words, the input device 134 receives from the user a selection of a calculation method for the order in which the plurality of test orders obtained from the reception unit 140 are to be executed. An example of such a GUI is shown in FIG. FIG. 4 is an example of a display screen of the medical test management system 130 according to the first embodiment.

First, when the user clicks the button 20, the input device 134 accepts from the user a selection of a calculation method for the order in which test orders are executed. Here, when the user clicks the button 21a, the processing circuit 150 calculates the order in which the examination orders will be executed in the subsequent processing using the method of "improving image interpretation efficiency." On the other hand, when the user clicks the button 21b, the processing circuit 150 calculates the order in which the inspection orders will be executed in the subsequent processing using the method of "improving imaging efficiency."

Here, "improving the efficiency of image interpretation" refers to optimizing the order in which test orders are executed in a manner that increases the efficiency of image interpretation by medical staff. This means, for example, that the waiting time between interpretations of images is reduced during the work shifts of such medical staff.

On the other hand, for example, "improving imaging efficiency" refers to optimizing the order in which test orders are executed in a manner that increases imaging efficiency. This means that the operating rate of the system will increase, which means that the number of tests per day will increase and the time gap between tests will become shorter.

Furthermore, in addition to the initially set optimization guidelines, it is also possible to calculate the order in which test orders are executed based on user-defined optimization guidelines. As an example, button 22 allows the user to create a user-defined method for calculating the order in which test orders are performed. For example, the user can create an order creation method that allows the user to select an order that is streamlined so that when a specific specialist comes to work, the tasks that the specialist is in charge of can be completed all at once.

In addition, for example, the user can select to improve the efficiency of the consultation time of a specific specialist. Scheduling can also be done so that diagnosis can be performed at once. An order that streamlines the contents selected by the user is displayed on the display 135 in step S150, which will be described later, and the user performs an inspection based on the displayed order.

Subsequently, in step S120, the processing circuit 150 uses the interface function 150a to obtain information associated with the inspection order from the database 132.

As an example, the processing circuit 150 uses the interface function 150a to obtain imaging (imaging) protocol information from the protocol information database 132a, that is, the scan parameters of each medical diagnostic apparatus 100 set for each examination order, such as the imaging range, The tube voltage at the time of imaging when the medical diagnostic apparatus 100 is an X-ray CT apparatus, the imaging sequence when the medical diagnostic apparatus 100 is an MRI apparatus, etc. are acquired as information accompanying the examination order.

As another example, the processing circuit 150 uses the interface function 150a to retrieve past examination information, such as the start time and end time of the examination, and the time required for the examination, from the past examination information database 132b to accompany the examination order. Obtain as information.

As another example, the processing circuit 150 uses the interface function 150a to obtain information from the patient information database 132c, such as the patient's name, age, gender, test history, medical history, BMI, whether the patient is an adult or a child, etc. Patient information such as contraindicated drugs and the doctor in charge is acquired as information accompanying the test order.

As another example, the processing circuit 150 uses the interface function 150a to add, for example, the medical staff's name, type/type, clinical department, work history, qualifications, etc. from the work information database 132d to the test order. Obtain as information.

As another example, the processing circuit 150 uses the interface function 150a to input information such as equipment setting time, gap time between tests, time required for maintenance, etc. from the setting information time database 132e to the test order. Obtained as information accompanying.

Subsequently, in step S130, the processing circuit 150 uses the first calculation function 150c to calculate the time between inspection orders based on the information accompanying the inspection orders acquired in step S120.

For example, in step S120, the processing circuit 150 uses the interface function 150a to add past examination information, such as the start time and end time of the examination, the time required for the examination, etc., from the past examination information database 132b to the examination order. Consider the case where it is acquired as information.

In such a case, the processing circuit 150 uses the first calculation function 150c to extract a pair of inspection orders for which the time is to be calculated and a pair of inspection orders that are the same or similar from the past inspection information. For example, when calculating the time between inspection orders when performing "examination B" after "examination A", the processing circuit 150 uses the first calculation function 150c to After performing the test, data on a test that is the same as or similar to "test B" is extracted from the past test information database 132b. Here, the degree of similarity between examinations is determined based on, for example, an examination protocol, an imaging range, an imaging region, and the like. Further, in addition to this, the degree of similarity between tests may be determined by including patient information such as the patient's BMI and whether the patient is an adult or a child.

Subsequently, the processing circuit 150 uses the first calculation function 150c to calculate the time between inspection orders from the difference between the inspection end time and the inspection start time of the extracted pair of past inspection orders. In addition, in calculating the time between test orders, the processing circuit 150 may calculate the time between test orders based on the pairs of extracted tests and then take the average value. The time between inspection orders may be determined based only on the most recent pair among the pairs. In this way, the processing circuit 150 uses the first calculation function 150c to calculate the test order based on the relationship between the past test order and the information accompanying the past test order, for example, the start time and end time of the test. Calculate the time between.

As another example, the processing circuit 150 refers to a table and calculates the time between test orders based on the information accompanying the test orders acquired in step S120. Hereinafter, an example will be described in which "examination B" is performed after "examination A" is performed.

First, the processing circuit 150 uses the first calculation function 150c to calculate, for example, the relationship between imaging (imaging) protocol information such as tube voltage, imaging range, imaging (imaging) site, imaging sequence, and standard examination time. Based on the first table shown, the inspection time for each of "Inspection A" and "Inspection B" is calculated. For example, in the case of X-ray CT imaging, the processing circuit 150 uses the first calculation function 150c to calculate " Calculate the imaging time for "Examination A" and "Examination B" alone.

Subsequently, the processing circuit 150 uses the first calculation function 150c to calculate "examination A" based on the second table showing the relationship between the settings changes of the device related to the examination order and the required setting time. and the amount of gap time required between "inspection B". Here, as an example of the second table, for example, if there is no increase or decrease in the number of coils in MRI imaging, the gap time is 0 minutes, and if there is an increase or decrease in the number of coils in MRI imaging, the gap time is 0 minutes. "Case" is a table that indicates that the gap time is "+5 minutes". The processing circuit 150 uses the first calculation function 150c to compare the contents of "Inspection A" and "Inspection B", and calculates the gap time as 5 minutes if there is an increase or decrease in the number of coils between the two inspections. Then, the gap time is added to the imaging time for "examination A" and "examination B" alone. Accordingly, the processing circuit 150 calculates the total time between inspection orders using the first calculation function 150c. In this way, the processing circuit 150 can calculate the time between test orders using the first calculation function 150c based on information including the setting time of the apparatus related to the test orders.

As another specific example of the second table for calculating the gap time, for example, “when changing the tube voltage”, the gap time is “+1 minute”, and “when changing the inspection range”, the gap time is “+1 minute”. , the gap time is "+3 minutes".

In addition, the processing circuit 150 may calculate the time between test orders using the first calculation function 150c using information accompanying the test orders, including patient information related to the test orders. As an example, if the patient type is a child, it is expected that more examination time will be required than if the patient type is an adult. The processing circuit 150 uses the first calculation function 150c to calculate the time between test orders based on the second table indicating that the test order is "minute".

As described above, in step S130, the processing circuit 150 takes into account not only the time required for a single inspection order, but also the size of gap time such as information including the setting time of the equipment related to the inspection order. Calculate the time between inspection orders. This makes it possible to improve the overall efficiency of inspection orders.

Returning to the flowchart of FIG. 2, in step S140, the order in which test orders are executed is optimized.

First, as a first-stage process, candidates for the order in which test orders are to be executed are created based on the time between test orders calculated in step S130 and constraint conditions such as equipment operation time and doctor's work shift. . Subsequently, as a second stage of processing, the processing circuit 150 uses the second calculation function 150d to optimize the order in which the inspection orders are executed, and selects the most appropriate order. Thereby, the processing circuit 150 calculates the order in which the plurality of test orders are executed based on the time between test orders calculated by the second calculation function 150d.

Here, optimization of the order in which inspection orders are executed will be explained. The processing circuit 150 uses the second calculation function 150d to calculate the order in which the plurality of inspection orders are to be executed by solving an optimization problem on a multidimensional space configured by information attached to the plurality of inspection orders. Such a situation is shown in FIG. Note that a plurality of pieces of information accompanying the test order are associated with one test order.

FIG. 5 is an example of processing performed by the medical test management system according to the first embodiment. FIG. 5 shows a multidimensional space made up of information associated with a plurality of inspection orders. For example, in FIG. 5, "BMI", "imaging range", and "age" correspond to each of a plurality of pieces of information attached to an examination order, and a three-dimensional distance space is generated by these pieces of information. Here, each of the points 30a, 30b, 30c, 30d, and 30e corresponds to each inspection order. That is, FIG. 5 corresponds to the case where the order of executing five test orders is optimized. Further, in FIG. 5, a graph connecting points represents the order in which those inspection orders are executed. That is, in FIG. 5, inspections are performed in the following order: an inspection order corresponding to point 30a, an inspection order corresponding to point 30b, an inspection order corresponding to point 30c, an inspection order corresponding to point 30d, and an inspection order corresponding to point 30e. or in the reverse order.

The processing circuit 150 uses the second calculation function 150d to calculate a line segment that passes through points corresponding to all inspection orders only once and is included in the candidates for the order of execution of the inspection orders in the first stage of step S130. The line segment with the minimum length is calculated as the order in which the optimized inspection order will be executed.

Here, the line segment with the minimum length is the line segment for which the sum of the cumulative changes for each test in the information attached to the test order is the smallest, that is, the degree of change in imaging conditions is low. This is considered to be an efficient test ordering order. Therefore, the processing circuit 150 uses the second calculation function 150d to search for and optimize such line segments.

Note that the "length" of a line segment here is not limited to the length defined by the Euclidean norm, but may be a length defined by a more general norm.

Furthermore, in the embodiment, a case has been described in which candidates for the order of execution of inspection orders are created in the first step in step S140 and optimization is performed on them. However, the embodiment is not limited to this, and for example, After first performing optimization to generate an optimal order for executing test orders, it may be checked whether constraint conditions such as the doctor's work shift are satisfied, for example.

Further, in step S140, the processing circuit 150 may calculate the order of the test orders using the second calculation function 150d further based on the information of the medical staff related to the test orders.

As an example of this, consider a case where the work information database 132d has a list in which doctors are associated with their respective medical departments, qualifications, and devices assigned to each doctor. The processing circuit 150 obtains this information from the work information database 132d, and calculates the order of inspection orders by performing optimization processing while weighting this information in step S140.

As another example, consider a case where the past examination information database 132b has a list in which patients who have performed examinations and doctors who have performed examinations/diagram interpretations on the patients are linked. The processing circuit 150 acquires this information from the past examination information database 132b, and in step S140, performs optimization processing while weighting the previous doctor in charge to the patient as much as possible, thereby updating the examination order. Calculate the order.

As another example, the processing circuit 150 uses the second calculation function 150d to calculate the order of the examination orders so as to optimize the schedules of both the technician who performs the imaging and the interpreter who performs the post-processing. You may.

Furthermore, the processing circuit 150 may calculate the order in which the test orders are to be executed based on the selection of the method for calculating the order in which the test orders are to be executed, which is received by the input device 134 in step S110. As an example, if the user selects the button 21a in FIG. 4 to improve the efficiency of image interpretation, weighting is performed to give priority to an order that is more efficient from the viewpoint of image interpretation with less waiting time during image interpretation. The processing circuit 150 performs optimization using a second calculation function 150d. On the other hand, when the user selects the button 21b in FIG. 4 to improve the efficiency of image interpretation, the processing circuit 150 performs weighting such that priority is given to an order that is efficient from the viewpoint of imaging due to the lack of free time of the apparatus. is optimized by the second calculation function 150d.

As another example, the processing circuit 150 uses the second calculation function 150d to determine the order of test orders based on the patient information database 132 and the like, further taking into account the patient's condition, such as the situation in which nursing care is required. It may be calculated.

Subsequently, in step S150, the processing circuit 150 uses the control function 150b to display on the display 135 the order in which the inspection orders calculated in step S140 are to be executed. An example of such a GUI is shown in FIGS. 6 and 7.

FIG. 6 is an example of a display screen of the medical test management system 130 according to the first embodiment. When the user clicks on button 40, the order of test orders is displayed in a table format. Row 41 shows each piece of information accompanying the test data, and rows 42, 43, 44, 45, 46, and 47 show test orders corresponding to patients A, B, C, D, E, and F, respectively. be. These inspection orders are displayed on the display 135, sorted by device used and inspection time.

FIG. 7 is also an example of a display screen of the medical test management system 130 according to the first embodiment, and is a display screen displayed in a timeline format. When the user clicks button 50, the order of test orders is displayed in a timeline format. The horizontal axis indicates time, and the vertical axis indicates the device used or the doctor who interprets the image. Patients A, B, C, and D are scanned by CT apparatus B51a at times indicated by rectangles 42a, 43a, 44a, and 45a, respectively. Further, at times indicated by rectangles 42b, 43b, 44b, and 45b, the doctor A52a performs image interpretation and examination. Similarly, patients E and F are scanned by CT apparatus C51b at times indicated by rectangles 46a and 47a, respectively. Furthermore, at the times indicated by rectangles 46b and 47b, the doctor B52b performs image interpretation and examination.

Further, rectangles 48a and 48b indicate the idle time of the CT apparatus.

FIG. 8 is an example of a display screen of a medical test management system according to a comparative example. Patients A, B, C, and D are scanned by CT apparatus B51a at times indicated by rectangles 42a, 43a, 61a, and 62a, respectively. Furthermore, the doctor A52a performs image interpretation and examination at times indicated by rectangles 42b, 43b, 61b, and 62b, respectively. Similarly, patients E and F are scanned by CT apparatus C51b at times indicated by rectangles 46a and 63a, respectively. Further, at the times indicated by rectangles 46b and 63b, the doctor B52b performs image interpretation and examination.

Further, rectangles 49a, 49b, 49c, 49d, and 49e indicate the idle time of the CT apparatus.

Comparing the medical test management system 130 according to the first embodiment shown in FIG. 7 and the medical test management system according to the comparative example shown in FIG. 8, it is found that the medical test management system 130 according to the first embodiment , it can be seen that there is little idle time for the equipment, and there is also little waiting time for the doctor's interpretation and examination. Therefore, it can be seen that in the medical test management system 130 according to the first embodiment, the order in which tests are performed is optimized.

In step S160, the medical diagnostic apparatus 100 executes a test according to the test order.

As described above, according to the medical test management system 130 according to the first embodiment, the order in which tests are performed can be optimized.

(Other variations)

In the embodiment, a case will be described in which a reception unit 140 located outside the medical test management system 130 accepts input from the user in step S100, and the input device 134 is in charge of accepting input from the user in step S110 and thereafter. did. However, the embodiment is not limited to this, and the reception unit 140 may be in charge of both the input reception in step S100 and the input reception after step S110, or, conversely, the input device 134 , may be in charge of both the input reception in step S100 and the input reception after step S110.

In the embodiment, in step S100, the reception unit 140 sequentially receives test order input from the user, and when a certain volume of test order queues has accumulated, the processing circuit 150 executes the processes from step S110 onwards. Although the case has been described, the embodiment is not limited to this.

For example, in step S100, the receiving unit 140 may receive input of orders to be optimized from the user all at once. As another example, after the inspection order optimization process is performed, in step S100, the receiving unit 140 receives an input of a new inspection order from the user, and the processing circuit 150 inputs the newly added inspection order. The optimization calculation may be performed again including Further, the embodiment is not limited to the case where the processing circuit 150 performs optimization every time a new test order queue is input, but the processing circuit 150 periodically performs optimization at a certain time period, for example, by The optimization process may be performed based on the queue of test orders that are currently in progress.

Furthermore, in step S130, a case has been described in which the processing circuit 150 uses the first calculation function 150c to calculate the time between inspection orders based on information accompanying the inspection orders. The embodiment is not limited to this, and the processing circuit 150 may calculate the time between inspection orders using machine learning. In other words, in step S130, the processing circuit 150 determines, for example, the relationship between information attached to two consecutively executed inspection orders and the time between the two inspection orders, based on the past inspection history. The time between inspection orders may be calculated based on the trained model that has been trained.

FIG. 9 shows the flow of processing for generating such a trained model. FIG. 9 is a flowchart illustrating the flow of processing for generating a trained model in a medical test management system according to another embodiment.

First, in step S200, the processing circuit 150 uses a learning function (not shown) to extract two consecutively executed test orders from the past test order information obtained from the past test information database 132b. Subsequently, in step S210, the processing circuit 150 uses the interface function 150a to obtain information accompanying the two inspection orders. Subsequently, in step S220, the processing circuit 150 uses the learning function to learn the relationship between the usage associated with two consecutively executed inspection orders and the time between the two inspection orders. Generate a completed model.

(program)
Furthermore, the instructions shown in the processing procedures shown in the embodiments described above can be executed based on a program that is software. By storing this program in advance in a general-purpose computer and reading this program, it is also possible to obtain the same effects as those provided by the medical diagnostic apparatus 100 of the embodiment described above. The instructions written in the embodiments described above can be applied to magnetic disks (flexible disks, hard disks, etc.), optical disks (CD-ROM, CD-R, CD-RW, DVD-ROM, DVD) as programs that can be executed by a computer. ±R, DVD±RW, etc.), semiconductor memory, or a similar recording medium. The storage medium may be in any format as long as it is readable by a computer or an embedded system. By reading a program from this recording medium and having the CPU execute instructions written in the program based on this program, the computer can realize the same operation as the medical diagnostic apparatus 100 of the embodiment described above. . Furthermore, when a computer obtains or reads a program, it may obtain or read the program through a network.

In addition, in the above-described embodiments, the OS (Operating System), database management software, MW (Middleware) such as a network, etc. that are running on the computer based on the instructions of the program installed on the computer or embedded system from the storage medium are used. A part of each process may be executed to realize the above. Furthermore, the storage medium is not limited to a medium independent of a computer or an embedded system, but also includes a storage medium in which a program transmitted via a LAN (Local Area Network), the Internet, etc. is downloaded and stored or temporarily stored. Further, the number of storage media is not limited to one, and a case where the processing in the embodiment described above is executed from a plurality of media is also included in the storage medium in the embodiment, and the configuration of the media may be any configuration. .

Note that the computer or embedded system in the embodiments is for executing each process in the embodiments described above based on a program stored in a storage medium, and includes one device such as a personal computer or a microcomputer, or a plurality of devices. It may be any configuration such as a system in which the devices are connected to a network. Furthermore, the computer in the embodiments is not limited to personal computers, but also includes arithmetic processing units, microcomputers, etc. included in information processing equipment, and is a general term for devices and devices that can realize the functions in the embodiments by programs. .

According to the medical management system, ordering system, and program of at least one embodiment described above, the order in which tests are performed can be optimized.

Although several embodiments of the invention have been described, these embodiments are presented by way of example and are not intended to limit the scope of the invention. These embodiments can be implemented in various other forms, and various omissions, substitutions, and changes can be made without departing from the gist of the invention. These embodiments and their modifications are included within the scope and gist of the invention as well as within the scope of the invention described in the claims and its equivalents.

130 Medical test management system 150 Processing circuit

Claims (14)

a reception unit that receives input from a user of information regarding the inspection order and preset information representing guidelines for optimizing the inspection order;
a first calculation unit that calculates the time between inspection orders based on the received information;
a second calculation unit that calculates the order in which the plurality of inspection orders are executed based on the time calculated by the first calculation unit ,
The first calculation unit calculates the imaging time for a single unit based on a first table showing the imaging time when imaging is performed under similar imaging conditions, and calculates the settings change content of the device related to the examination order. Calculate the size of the gap time required between the inspections based on the second table showing the relationship between the
The second calculation unit is a medical examination management system that calculates an order in which examination orders are to be executed based on the individual imaging time and the gap time. The reception unit selects a calculation method for the order in which the inspection order is executed based on preset information representing a guideline for optimization of the inspection order,
The medical examination management system according to claim 1, wherein the optimization guideline is a policy aiming at improving image interpretation efficiency, a policy aiming at improving imaging efficiency, or a user-defined optimization guideline. 2. The medical test management system according to claim 1, wherein the preset information representing the optimization guidelines is user-defined preset information representing guidelines aimed at improving work efficiency of a specific medical specialist. 2. The medical test management system according to claim 1, wherein the preset information representing the optimization guidelines is user-defined preset information representing guidelines aimed at improving the efficiency of medical treatment time for a specific specialist. The medical test management according to any one of claims 2 to 4, wherein the first calculation unit calculates the time based on a relationship between a past test order and information accompanying the past test order. system. The medical test management system according to any one of claims 2 to 4, wherein the second calculation unit calculates the order further based on information of medical staff related to the test order. The medical test management system according to any one of claims 2 to 4, wherein the first calculation unit calculates the time based on the information including the setting time of the device related to the test order. The medical test management system according to any one of claims 2 to 4, wherein the first calculation unit calculates the time using the information including patient information related to the test order. The first calculation unit is based on a learned model obtained by learning the relationship between information attached to two consecutively executed inspection orders and the time between the two inspection orders. , the medical test management system according to any one of claims 2 to 4, which calculates the time. a reception unit that receives input from a user of information regarding the inspection order and preset information representing guidelines for optimizing the inspection order;
a first calculation unit that calculates the time between inspection orders based on the received information;
a second calculation unit that calculates an order for executing the plurality of inspection orders based on the time calculated by the first calculation unit;
Equipped with
A plurality of pieces of information are associated with one inspection order,
The second calculation unit calculates a line segment that passes only once through points corresponding to all inspection orders on a multidimensional space constituted by a plurality of pieces of information, and that is a line segment that passes through points corresponding to all inspection orders only once, and is a line segment that is a line segment that passes through points corresponding to all inspection orders only once. A medical test management system that calculates a line segment having a minimum length among those included therein as the order in which the optimized test order is executed. a reception unit that receives from the user input of information regarding the inspection order and preset information representing guidelines for optimizing the inspection order;
a first calculation unit that calculates the time between inspection orders based on the received information;
a second calculation unit that calculates an order for executing the plurality of inspection orders based on the time calculated by the first calculation unit;
and a control unit that causes the display unit to display the order ,
The first calculation unit calculates the imaging time for a single unit based on a first table showing the imaging time when imaging is performed under similar imaging conditions, and calculates the settings change content of the device related to the examination order. Calculate the size of the gap time required between the inspections based on the second table showing the relationship between the
The second calculation unit is an ordering system that calculates an order in which inspection orders are to be executed based on the individual imaging time and the gap time. a reception unit that receives from the user input of information regarding the inspection order and preset information representing guidelines for optimizing the inspection order;
a first calculation unit that calculates the time between inspection orders based on the received information;
a second calculation unit that calculates an order for executing the plurality of inspection orders based on the time calculated by the first calculation unit;
and a control unit that causes the display unit to display the order,
A plurality of pieces of information are associated with one inspection order,
The second calculation unit calculates a line segment that passes only once through points corresponding to all inspection orders on a multidimensional space constituted by a plurality of pieces of information, and that is a line segment that passes through points corresponding to all inspection orders only once, and is a line segment that is a line segment that passes through points corresponding to all inspection orders only once. An ordering system that calculates a line segment having a minimum length among those included in the line segment as the order in which the optimized inspection order is executed. Receiving input from the user of information regarding the inspection order and preset information representing guidelines for optimization of the inspection order ;
Based on the first table showing the imaging time when imaging is performed under similar imaging conditions, the imaging time for a single unit is calculated, and the settings of the device related to the inspection order and the required setting time are calculated. The time between inspection orders is calculated based on the received information by calculating the size of the gap time required between inspections based on the second table showing the relationship between inspections. death,
calculating the order in which the inspection orders are to be executed based on the single imaging time and the gap time; calculating the order in which the plurality of inspection orders are to be executed based on the calculated time;
A program that causes a computer to perform various processes. Receiving input from the user of information regarding the inspection order and preset information representing guidelines for optimization of the inspection order;
A plurality of pieces of information are associated with one inspection order,
Based on the information received, calculate the time between inspection orders,
Based on the calculated time, a line segment that passes only once through points corresponding to all inspection orders on a multidimensional space constituted by a plurality of pieces of information, and a candidate for the order of execution of the inspection orders. The order in which the plurality of inspection orders are executed is calculated by calculating the line segment whose length is the minimum among those contained in A program that causes a computer to perform a process.

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