JP2017049985A - Medical information processor - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a medical information processor capable of easily selecting an optimum treatment results and side effects, and determining treatment planning corresponding to the selected treatment result and side effects.SOLUTION: A medical information processor includes a data acquisition part, and a display image creation part. The data acquisition part acquires information about similar patients similar to a specification patient to be specified, and acquires a value representing a first treatment effect and a value representing a first side effect on the basis of the information about the acquired similar patients. The display image creation part creates a map image obtained by arranging marks representing the similar patients on the basis of the value representing the first treatment effect and the value representing the first side effect.SELECTED DRAWING: Figure 8

Description

  Embodiments described herein relate generally to a medical information processing apparatus.

  In recent years, techniques for accumulating medical information and patient information and using these accumulated information to determine a treatment plan for a patient have been proposed. By performing treatment and treatment based on the treatment plan determined in this way, it is possible to reduce the burden on the patient and efficiently obtain the maximum effect.

  By the way, the technique for determining a treatment plan as described above can also be applied to radiation therapy for diseases such as cancer. At this time, the doctor determines a treatment plan for each patient with reference to the expected treatment result and side effects based on information such as medical information and patient information. However, when trying to derive optimal treatment results and side effects using a conventional device that implements this type of technology, the doctor needs to calculate treatment results and side effects while changing the input parameters multiple times, It was a burden.

JP 2005-509217 A

  Accordingly, an object of the present invention is to provide a medical information processing apparatus that can easily select an optimal treatment result and side effects and that can determine a treatment plan according to the selected treatment results and side effects.

  According to the embodiment, the medical information processing apparatus includes a data acquisition unit and a display image creation unit. The data acquisition unit acquires information about a similar patient similar to the specified designated patient, and based on the acquired information about the similar patient, a value representing the first treatment effect and a value representing the first side effect And get. The display image creation unit creates a map image in which marks representing the similar patients are arranged based on the value representing the first treatment effect and the value representing the first side effect.

FIG. 1 is a block diagram showing a configuration of a medical information system including a medical information processing apparatus according to the first embodiment. FIG. 2 is a diagram showing diagnostic data managed by the electronic medical record server and the treatment information server shown in FIG. FIG. 3 is a diagram showing treatment data managed by the electronic medical record server and the treatment information server shown in FIG. FIG. 4 is a diagram showing a treatment plan managed by the electronic medical record server and the treatment information server shown in FIG. FIG. 5 is a diagram showing a treatment status managed by the electronic medical record server and the treatment information server shown in FIG. FIG. 6 is a block diagram showing a functional configuration of the control circuit shown in FIG. FIG. 7 shows a diagram when the control circuit shown in FIG. 6 selects similar patients by the analysis function. FIG. 8 is a schematic diagram showing a display image created by the control circuit shown in FIG. 6 using the display image creation function. FIG. 9 is a schematic diagram illustrating another example of a display image created by the control circuit shown in FIG. 6 using the display image creation function. FIG. 10 is a diagram illustrating an image displaying the detailed data of “Toxicity” illustrated in FIG. 8. FIG. 11 is a diagram showing an image displaying the detailed data of “RT Treatment Response” shown in FIG. FIG. 12 is a flowchart showing a procedure when the control circuit shown in FIG. 6 creates a display image. FIG. 13 is a diagram showing data related to the designated patient read from the storage circuit shown in FIG. FIG. 14 is a diagram showing a calculation result of the treatment result and toxicity of the designated patient at the time of confirmation. FIG. 15 is a diagram illustrating data regarding a similar patient read from the storage circuit illustrated in FIG. 1. FIG. 16 is a diagram showing data of similar patients when the data shown in FIG. 15 is narrowed down. FIG. 17 is a diagram showing a display image created when the treatment status is irradiation on the third day. FIG. 18 is a diagram illustrating data regarding a designated similar patient. FIG. 19 is a diagram illustrating another example of a display image created when the treatment status is irradiation on the third day. FIG. 20 is a block diagram illustrating a configuration of a medical information system including a medical information processing apparatus according to the second embodiment. FIG. 21 is a block diagram showing a functional configuration of the control circuit shown in FIG. FIG. 22 is a flowchart showing a procedure when the control circuit shown in FIG. 21 creates a display image. FIG. 23 is a diagram illustrating another example of the display image. FIG. 24 is a diagram illustrating another example of the display image. FIG. 25 is a diagram illustrating another example of the display image. FIG. 26 is a diagram illustrating a case where the medical information processing apparatus is used when determining a treatment plan in surgical treatment. FIG. 27 is a diagram illustrating a case where the medical information processing apparatus is used when determining a treatment plan in chemotherapy. FIG. 28 is a diagram illustrating a case where the medical information processing apparatus is used for disease prevention based on a result of a health check.

  Hereinafter, embodiments will be described with reference to the drawings.

(First embodiment)
FIG. 1 is a block diagram illustrating a configuration example of a medical information system including a medical information processing apparatus 10 according to the first embodiment. The medical information system shown in FIG. 1 includes a medical information processing apparatus 10, an image server 20, an electronic medical record server 30, and a treatment information server 40. The medical information processing apparatus 10, the image server 20, the electronic medical record server 30, and the treatment information server 40 are connected via a network. The network may be a local network provided in a predetermined hospital, or may be an external network connecting unspecified number of hospitals.

  The image server 20 is, for example, one of devices that constitute an image management system (PACS: Picture Archiving and Communication System). The image server 20 manages image data in accordance with, for example, DICOM (Digital Imaging and Communication Medicine) standards.

  The image data is output from a medical image diagnostic apparatus (not shown). A medical image diagnostic apparatus is an apparatus that detects an energy signal obtained by interaction with a living body and displays an internal organ or the like as an image. As typical examples of medical image diagnostic apparatuses, X-ray diagnostic apparatuses and X-ray CT apparatuses using X-rays, MRI (Magnetic Resonance Imaging) using magnetic energy, ultrasonic diagnostic apparatuses using ultrasonic waves, and nuclei using gamma rays Examples thereof include a medical diagnostic apparatus and a PET-CT apparatus. A cone beam CT and the like are also included in the medical image diagnostic apparatus.

  The electronic medical record server 30 and the treatment information server 40 are, for example, one of devices constituting a hospital information system (HIS). The electronic medical record server 30 and the treatment information server 40 manage non-image data managed by the hospital information system.

  The hospital information system is an information system used in a hospital, and includes, for example, an electronic medical record system, a receipt computer processing system, an ordering system, a reception (individual / qualification authentication) system, a medical assistance system, and a department system.

  Non-image data includes, for example, patient basic data, examination data, diagnostic data, treatment data, and findings data.

  The patient basic data includes a name, patient ID, affiliation, date of birth, sex, and the like for identifying each person to be examined.

  The test data includes the name of the medical institution that performed the test, the name of the doctor in charge, the date of the test, the test results of the test performed by the medical diagnostic imaging device, and the height, weight, white blood cell count, and neutrality of the test items. Includes numbers such as fat numbers.

  Diagnostic data includes disease name, general condition, primary lesion, stage, histopathological type, extent of lesion development, location of risk organ, whether it is radical, symptomatic or palliative, details of treatments and complications that have been performed in the past The presence or absence, etc. are included. FIG. 2 is a diagram illustrating an example of diagnostic data managed by the electronic medical record server 30 and the treatment information server 40. FIG. 2 shows an example in which diagnosis data is managed using a table that associates patient IDs with disease names.

  The treatment data includes treatment plan, treatment status, treatment result (RT Treatment Response), side effects such as toxicity caused by treatment (Toxicity), presence / absence of combination treatment, and resource management data. The treatment plan includes a treatment plan number, a radiation irradiation direction, a dose, a treatment period, and the number of divisions. The treatment status means a so-called treatment stage and represents how far the determined treatment plan has been implemented. The resource management data includes treatment costs, time taken by doctors and technicians, time taken for nursing, hospitalization period, time spent using the device, presence / absence of use of home care facilities, and the like.

  FIG. 3 is a diagram illustrating an example of treatment data managed by the electronic medical record server 30 and the treatment information server 40. FIG. 3 shows an example in which treatment data is managed using a table that associates patient IDs, treatment plan numbers, treatment results, toxicity, combined treatment presence / absence, and treatment costs. In FIG. 3, the treatment result is represented by a numerical value from 0 to 1, and the closer to 0, the better the result. The treatment result is obtained based on, for example, the ratio of the tumor volume after treatment to the tumor volume before radiation treatment. Further, in FIG. 3, the toxicity is represented by a numerical value from 0 to 1, and the closer to 0, the better the result. Toxicity is acquired based on, for example, weight loss, QOL (Quality Of Life), T Stage, dry mouth and dysphagia.

  FIG. 4 is a diagram illustrating an example of a treatment plan managed by the electronic medical record server 30 and the treatment information server 40. FIG. 4 shows an example in which a treatment plan is managed using a table that associates a treatment plan number (Course) with a treatment plan name.

  FIG. 5 is a diagram illustrating an example of treatment status managed by the electronic medical record server 30 and the treatment information server 40. FIG. 5 shows an example in which the treatment status is managed using a table that associates the patient ID, the number of treatments according to the treatment plan, and the result indicating whether or not the number of treatments has been performed.

  The observation data is data input by a medical institution that has performed an electrocardiogram examination, a chest X-ray examination, an ultrasonic examination, and the like, and includes, for example, no abnormality and evaluations such as evaluation A, B, or C.

  The non-image data includes examination order data for the medical image diagnostic apparatus, a report when a doctor makes a diagnosis, and the like.

  A medical information processing apparatus 10 illustrated in FIG. 1 includes an input interface circuit 11, a communication interface circuit 12, a display circuit 13, a storage circuit 14, and a control circuit 15.

  The input interface circuit 11 includes, for example, a mouse, a keyboard, a button, a panel switch, a touch command screen, a trackball, and a joystick. The input interface circuit 11 accepts various instructions / commands / information input by the operator. The input interface circuit 11 is connected to the control circuit 15 via, for example, a bus, converts various instructions / commands / information input from the operator into electrical signals, and outputs the electrical signals to the control circuit 15. In the present specification, the input interface circuit 11 is not limited to the one having physical operation parts such as a mouse and a keyboard. For example, an electrical signal processing circuit that receives an electrical signal corresponding to an operation instruction input from an external input device provided separately from the medical information processing apparatus 10 and outputs the electrical signal to the control circuit 15 is also input. It is included in the example of the interface circuit 11.

  The communication interface circuit 12 accesses the image server 20, the electronic medical record server 30, and the treatment information server 40 via a network. The communication interface circuit 12 receives data supplied from the image server 20, the electronic medical record server 30, and the treatment information server 40.

  The display circuit 13 includes a display that displays a display image created by the control circuit 15, an internal circuit that supplies a display signal to the display, and peripheral circuits such as a connector and a cable that connect the display and the internal circuit. . As the display, for example, any display device such as a CRT display, a liquid crystal display, an organic EL display, an LED display, and a plasma display can be used.

  The memory circuit 14 includes a memory that stores electrical information, a memory controller associated with the memory, and peripheral circuits such as an interface. The memory includes, for example, a magnetic or optical recording medium or a recording medium readable by a processor such as a semiconductor memory. The storage circuit 14 stores an operation program executed by the medical information processing apparatus 10. The storage circuit 14 reads the stored operation program in response to a request from the control circuit 15 provided in the medical information processing apparatus 10.

  The storage circuit 14 stores non-image data acquired from the electronic medical record server 30 and the treatment information server 40 via the communication interface circuit 12. Further, the storage circuit 14 stores the confirmation time point input from the input interface circuit 11. In the present embodiment, the confirmation time point represents a time point at which a treatment result and toxicity prediction are desired for a patient to be treated.

  The control circuit 15 is a processor that functions as the center of the medical information processing apparatus 10. The control circuit 15 reads the operation program from the storage circuit 14 and executes the read operation program, thereby realizing a function corresponding to the program. For example, the control circuit 15 has a data acquisition function 151, an analysis function 152, a prediction function 153, and a display image creation function 154 shown in FIG. 6 by executing an operation program.

  The data acquisition function 151 is a function for acquiring non-image data from the electronic medical record server 30 and the treatment information server 40. Specifically, the control circuit 15 transmits a request signal for non-image data to the electronic medical record server 30 and the treatment information server 40 via the communication interface circuit 12 by executing the data acquisition function 151. In addition, the control circuit 15 stores the non-image data supplied from the electronic medical record server 30 and the treatment information server 40 in the storage circuit 14. Note that the control circuit 15 may transmit a request signal to the electronic medical record server 30 and the treatment information server 40 at a preset period, or the request signal may be transmitted according to an instruction input from the input interface circuit 11. You may transmit to the server 30 and the treatment information server 40. FIG.

  The analysis function 152 is a function for selecting a similar patient for a designated patient by analyzing the non-image data stored in the storage circuit 14 using a predetermined data analysis method. Here, examples of the predetermined data analysis method include data mining. Data mining is an application that aims to find invisible associations and trends from large amounts of data. Typical methods for data mining include association rules, sequences, clusters, and decision trees.

  The operation of the control circuit 15 when the analysis function 152 is executed will be specifically described below. When the analysis function 152 is executed, the control circuit 15 reads data including the designated attribute from the storage circuit 14. The control circuit 15 sets, for example, attribute I: age, attribute II: disease name, and reads data including these attributes from the storage circuit 14.

  The control circuit 15 performs calculation by substituting data including attributes into a predetermined calculation formula. The control circuit 15 classifies the patient into a plurality of segments based on the calculation result. The control circuit 15 sets patients belonging to the same segment as similar patients.

  FIG. 7 is a schematic diagram when similar patients are selected in the analysis function 152 shown in FIG. In FIG. 7, the control circuit 15 performs calculation using information about the patients A to E and a after setting the attribute I as the disease name and the attribute II as the age. Thus, it is determined that patients A and B belong to segment 1, patient C is determined to belong to segment 2, and patients D, E, and a belong to segment 3. Thereby, the similar patient of the patient a becomes D and E. In addition, in FIG. 7, although the case where an attribute classify | categorizes a patient into a segment by 2 axes | shafts of a disease name and age was shown as an example, an attribute may be 2 or more axes and it is other than a disease name and age. It doesn't matter.

  The prediction function 153 is a function for predicting a treatment result and toxicity at a confirmation time of a designated patient. Specifically, by executing the prediction function 153, the control circuit 15 reads out data related to a similar patient for the designated patient from the storage circuit 14. In addition, the control circuit 15 receives an input from the input interface circuit 11 about a confirmation time point at which a treatment result and toxicity prediction are desired. The confirmation time point input at this time is, for example, at the n-th follow-up after treatment. Note that n = 1, that is, the first follow-up after treatment means, for example, when three months have passed since the treatment plan was completed. The control circuit 15 creates a calculation formula for predicting the treatment result and toxicity at the time of confirmation based on data on similar patients. The calculation formula is represented by a function f. The arguments of the function f are x: basic patient data, y: diagnostic data, and z: treatment data, and the output of the function f is treatment result and toxicity. That is, f (x, y, z) = {treatment result, toxicity}.

  The control circuit 15 adds values for the designated patient to the created calculation formula, for example, x: basic patient data {age and sex}, y: diagnostic data {disease name (colorectal cancer)}, z: treatment data {treatment Plan (Sanmon Irradiation (50 Gy / 25 times / 4 weeks))} is set. When the designated patient is being treated, the treatment data also includes image information acquired for each treatment and patient information such as weight. The control circuit 15 performs calculation using the set argument, and calculates the treatment result and toxicity at the input confirmation time.

  The display image creation function 154 is a function for creating a display image to be displayed on the display circuit 13. Specifically, by executing the display image creation function 154, the control circuit 15 reads the treatment result and toxicity at the confirmation time point inputted for the similar patient from the storage circuit 14. The control circuit 15 creates a display image based on the treatment result and toxicity for the similar patient read from the storage circuit 14. FIG. 8 is a schematic diagram illustrating an example of a display image created by the display image creation function 154.

  In FIG. 8, the display image includes an area 131 for displaying the basic information of the patient. From the patient name, date of birth, and patient ID displayed in this area 131, the operator can confirm that the patient is a corresponding patient.

  Further, the display image shown in FIG. 8 includes a region 132 representing the time point. The region 132 includes stages of “Consultation and Staging”, “Simulation and Planning”, “Radiotherapy Treatment”, and “Flow-up Observation”. “Consultation and Staging”, “Simulation and Planning”, and “Radiotherapy Treatment” are time points regarding treatment status. “Radiotherapy Treatment” further includes a step corresponding to the number of treatments included in the treatment status. “Flow-up Observation” is a time point that represents a follow-up of treatment. The “Flow-up Observation” is further provided with steps corresponding to the number of examinations performed after treatment.

  The black humanoid mark attached to the region 132 represents the time when the display image is created, that is, the current treatment time. According to the example of FIG. 8, it can be understood that this display image is created in “Simulation and Planning”. The hatched humanoid mark attached to the area 132 represents the prediction of the treatment result and toxicity at which time point on the display image, that is, the confirmation time point. According to the example of FIG. 8, it can be seen that this display image is a prediction of the treatment result and toxicity in the first step in “Flow-up Observation”, that is, the first examination after treatment. In the example of FIG. 8, the confirmation time point is represented by a hatched humanoid mark, but the present invention is not limited to this. The mark indicating the confirmation time point may be in a different display format from the mark indicating the treatment time point. For example, the mark representing the confirmation time may be a humanoid with a color different from black, which is a mark representing the treatment time.

  Further, the display image shown in FIG. 8 includes an area 133 for inputting a narrowing condition for narrowing down similar patients. The area 133 includes input boxes for “Course”, “Chemotherapex Type”, and “Resource”. “Course” represents a treatment plan, “Chemotherapex Type” represents the presence or absence of combination treatment, and “Resource” represents the type and amount of a resource. The narrowing-down conditions may be input to two or more of “Course”, “Chemotherapex Type”, and “Resource”.

  In addition, the display image shown in FIG. 8 includes a two-dimensional region 134 in which a treatment result (RT treatment response) is taken as the X axis and toxicity (Toxicity) is taken as the Y axis. In the two-dimensional area 134, a good / bad area is set with the treatment result and the median of toxicity as the demarcation line. As a result, four quadrants of a good / good area, a good / bad area, a bad / good area, and a bad / bad area are set in the two-dimensional area 134.

  Black human-shaped marks placed in each area represent similar patients. For example, in the two-dimensional region 134, when the treatment result and the numerical value of toxicity are expressed in the range of 0 to 1, the demarcation line is 0.5. At this time, a mark representing a similar patient having both treatment results and toxicity values of 0 or more and less than 0.5 is displayed in the good / good area. A mark representing a similar patient having a treatment result value of 0 or more and less than 0.5 and a toxicity value of 0.5 or more and 1 or less is displayed in a good / bad area. A mark representing a similar patient having a treatment result value of 0.5 or more and 1 or less and a toxicity value of 0 or more and less than 0.5 is displayed in the bad / good area. In addition, a mark representing a similar patient having both treatment results and toxicity values of 0.5 or more and 1 or less is displayed in an evil / bad area. The black human-shaped mark is set so as to be selectable by the operator via the input interface circuit 11.

  Among the black human-shaped marks arranged in each area, there are marks whose display formats are different from those of other marks. For example, in FIG. 8, there are marks larger than the other marks in each of the good / good area, the good / bad area, and the bad / good area. Similar patients represented by marks with different display formats represent similar patients with the best progress in each area. Here, the similar patient having the best course is, for example, a similar patient having the lowest treatment result and toxicity value. By changing the display format, the similar patient highlighted and displayed is the outermost selectable similar patient. The range in which the boundary is expressed by the similar patient group highlighted is referred to as the maximum range of selection.

  Further, the display image shown in FIG. 8 includes a region 135 representing the ratio of similar patients arranged in each area in the two-dimensional region 134. According to the example of FIG. 8, the ratio of similar patients arranged in the good / good area indicated by circle 1 is 27%. The percentage of similar patients placed in the good / bad areas indicated by circle 2 is 34%. The percentage of similar patients placed in the bad / good area indicated by circle 3 is 20%. The percentage of similar patients placed in the evil / bad area indicated by circle 4 is 19%. By displaying the ratio of each good / bad area, an operator such as a doctor can quantitatively check how similar patients are distributed in the good / bad area.

  In addition, by executing the display image creation function 154, the control circuit 15 generates a display image based on the treatment result and toxicity predicted for the designated patient and the treatment result and toxicity for the similar patient read from the storage circuit 14. You may make it create. FIG. 9 is a schematic diagram illustrating an example of a display image created by the display image creation function 154. In the display image shown in FIG. 9, in addition to the display image shown in FIG. 8, a mark 1341 representing the designated patient is displayed in the two-dimensional region 134. The mark 1341 representing the designated patient has a different shape from the mark representing the similar patient. According to the example of FIG. 9, the mark 1341 representing the designated patient is larger than other similar patients and has a shape surrounded by a square. By displaying the mark 1341 representing the designated patient in the two-dimensional region 134, the operator can evaluate the effect of the treatment plan set for the patient in comparison with the similar patient.

  In addition, by executing the display image creation function 154, the control circuit 15 creates an image that displays treatment plan data for the similar patient selected by the operator. Specifically, when the operator gives a selection instruction for any one of the black human-type marks displayed in the two-dimensional area 134, the control circuit 15 resembles a similar patient corresponding to the selected mark. Is read from the storage circuit 14. At this time, the selection instruction from the operator means, for example, that the operator clicks a black humanoid mark displayed in the two-dimensional area 134, and a black humanoid mark displayed in the two-dimensional area 134. Are dragged and dropped onto the designated patient's mark, and the designated patient's mark is dragged and dropped onto the black human-type mark. When the control circuit 15 acquires the treatment plan data for the selected similar patient, the control circuit 15 creates an image for displaying the treatment plan data. The control circuit 15 causes the display circuit 13 to display the created image.

  In addition, by executing the display image creation function 154, the control circuit 15 creates a display image at a past treatment point. Specifically, the control circuit 15 receives the black human-type mark attached to the region 131 representing the time point, that is, “Consultation and Staging”, “Simulation and Planning”, or “Radiotherapy Treatment” from the operator. When there is an instruction to move in the past direction, a display image at the instructed past treatment time is created. At this time, the instruction to move the black human figure in the past direction is, for example, that the operator clicks “Consultation and Staging”, “Simulation and Planning”, or “Radiotherapy Treatment” in the area 131, and For example, dragging and dropping the black human figure attached to the region 131 to the left. In addition, when the display image produced in the past treatment time is memorize | stored in the memory | storage circuit 14, the control circuit 15 reads the memorize | stored past display image from the memory | storage circuit 14 according to the instruction | indication from an operator. It doesn't matter if you do.

  In addition, by executing the display image creation function 154, the control circuit 15 creates a display image for the designated confirmation time point. Specifically, the control circuit 15 is instructed by the operator to move the hatched human-shaped mark attached to the area 131 representing the time point, that is, “Flow-up Observation”. In this case, a display image is created with the time after the movement as the confirmation time. At this time, the instruction to move the hatched human-shaped mark is, for example, that the operator clicks a step different from the current state among a plurality of steps provided in “Flow-up Observation”, For example, the hatched human-shaped mark attached to the region 131 may be dragged and dropped to a step different from the current state among a plurality of steps provided in the “Flow-up Observation”.

  In addition, by executing the display image creation function 154, the control circuit 15 creates an image that displays the treatment result or detailed data of toxicity for the selected similar patient. Specifically, the control circuit 15 reads the detailed toxicity data from the storage circuit 14 when the operator requests detailed data on toxicity for similar patients. At this time, the request for detailed data on toxicity is, for example, dragging and dropping a mark representing a similar patient in the displayed image to “Toxity”, and double-clicking on “Toxity” with the similar patient selected. Etc. The control circuit 15 creates an image for displaying the detailed data based on the read detailed data. FIG. 10 is a diagram illustrating an example of an image displaying detailed data of “Toxicity”. According to FIG. 10, the detailed data displays total toxicity and toxicity 1 to toxicity 3 constituting this total toxicity. Clicking on the downward-facing triangle displayed near the toxicity will display the cause of this toxicity. FIG. 10 shows a case where Factor 1 to Factor 4 of toxicity 1 are displayed. The control circuit 15 causes the display circuit 13 to display a display image relating to the created detailed data of “Toxicity”.

  The control circuit 15 reads out the detailed data of the treatment result from the storage circuit 14 when the operator requests the detailed data of the treatment result for the similar patient. At this time, the request for the detailed data of the treatment result is, for example, dragging and dropping a mark representing a similar patient in the display image to “RT Treatment Response”, and “RT Treatment Response” in a state where the similar patient is selected. For example, double-clicking. The control circuit 15 creates an image for displaying the detailed data based on the read detailed data. FIG. 11 is a diagram illustrating an example of an image displaying detailed data of “RT Treatment Response”. In FIG. 11, the horizontal axis represents the number of radiation irradiations, that is, the treatment status, and the vertical axis represents the ratio of the tumor volume after treatment to the tumor volume before radiation treatment. FIG. 11 shows the transition of the treatment result until the radiation is irradiated t8 times. In other words, FIG. 11 shows detailed data of “RT Treatment Response” for similar patients when the time of radiation irradiation t8 times is input as the confirmation time point. In FIG. 11, the broken line represents the average transition of the treatment results for the top 25% of similar patients with good treatment results. Moreover, a dashed-dotted line represents the average transition of the treatment result about the lower 25% similar patients whose treatment result is not good. Moreover, a thin continuous line represents the average transition of the treatment result about all the similar patients. The thick solid line represents the transition of the treatment result for the selected similar patient. The control circuit 15 causes the display circuit 13 to display a display image relating to the detailed data of the created “RT Treatment Response”.

  Next, an operation when the medical information processing apparatus 10 configured as described above creates a display image will be described. FIG. 12 is a flowchart showing an example of a procedure when the control circuit 15 shown in FIGS. 1 and 6 creates a display image.

  First, the control circuit 15 accepts patient designation (step S121). The control circuit 15 executes the analysis function 152 when receiving the designation of the patient. When the analysis function 152 is executed, the control circuit 15 determines the segment to which the designated patient belongs. The control circuit 15 identifies a similar patient of the designated patient based on the determined segment (step S122).

  When specifying the similar patient, the control circuit 15 executes the prediction function 153 and determines whether or not a confirmation time point is designated (step S123). When the confirmation time point is designated (Yes in step S123), the control circuit 15 creates a calculation formula for predicting the treatment result and toxicity at the designated confirmation time point based on the data related to the specified similar patient (step S124). . When the confirmation time point is not specified (No in step S123), the control circuit 15 confirms the time point set in advance, for example, the first follow-up time after the treatment stored in advance as the post-treatment indication time point. (Step S125), and the process proceeds to step S124.

  In the prediction function 153, the control circuit 15 reads data related to the designated patient from the storage circuit 14. FIG. 13 is a diagram illustrating an example of data related to the designated patient read from the storage circuit 14 when 10067, which is the patient ID of the designated patient, is input as a search key. According to FIG. 13, the read data includes treatment data and diagnostic data for the designated patient. For the designated patient, 1: Sanmon irradiation (50 Gy / 25 times / 4 weeks) is selected as the treatment plan. In addition, the designated patient has completed irradiation up to the third day of the selected treatment plan. The control circuit 15 substitutes the data read from the storage circuit 14 for the calculation formula created in step S124, and calculates the treatment result and toxicity of the designated patient at the time of confirmation (step S126). FIG. 14 is a diagram illustrating an example of a calculation result of the treatment result and toxicity of the designated patient at the time of confirmation.

  When the treatment result and toxicity for the designated patient are calculated, the control circuit 15 executes the display image creation function 154. When the display image creation function 154 is executed, the control circuit 15 reads data related to the similar patient identified in step S122 from the storage circuit 14 (step S127). FIG. 15 is a diagram illustrating an example of data related to a similar patient read from the storage circuit 14. According to FIG. 15, the read data includes the patient ID, the treatment result at the confirmation time point, the toxicity at the confirmation time point, the presence / absence of the combination treatment, and the treatment cost.

  The control circuit 15 determines whether or not a narrowing condition is input via the input interface circuit 11 (step S128). If there is an input of a narrowing condition (Yes in step S128), the control circuit 15 extracts a similar patient that satisfies the input narrowing condition from the read similar patients (step S129). FIG. 16 shows data of similar patients extracted from the data shown in FIG. 15 based on the narrowing-down conditions of “presence / absence of combined treatment: chemotherapy” and “treatment cost: 1 million yen or less”. According to FIG. 16, similar patients are narrowed down to patient IDs 10002, 10004 and 10005. When a narrowing condition of “presence / absence of combined treatment: chemotherapy” is input to the data shown in FIG. 15, similar patients are narrowed down to patient IDs 10002, 10004, 10005, and 10006. In addition, when a narrowing condition of “treatment cost: 1 million yen or less” is input to the data shown in FIG. 15, similar patients are narrowed down to patient IDs 10000, 10001, 10002, 10004, 10005 and 10007.

  When no narrowing condition is input (No in step S128), the control circuit 15 shifts the process to the next step after step S129 without narrowing down.

  The control circuit 15 creates a display image based on the treatment result and toxicity of the similar patient at the confirmation time (step S1210). Specifically, the control circuit 15 executes the display image creation function 154 to create a region 131 that displays basic patient information based on the basic patient data for the designated patient. In addition, the control circuit 15 creates a region 132 representing a time point based on the treatment plan and treatment status for the designated patient. That is, for example, the control circuit 15 attaches a black humanoid mark indicating the current treatment point to the first step in “Radiotherapy Treatment”. Further, the control circuit 15 creates a region 132 representing the time based on the set confirmation time. That is, for example, the control circuit 15 attaches a human-type mark that is hatched to indicate the confirmation time point to the first step in “Flow-up Observation”. Further, the control circuit 15 creates an area 133 for inputting the narrowing condition based on the inputted narrowing condition.

  In addition, the control circuit 15 reads the input treatment result and toxicity at the confirmation time point from the storage circuit 14 for the similar patients that have been narrowed down or the similar patients that have not been subjected to the narrowing-down process. The control circuit 15 performs a process such as a scale change on the read treatment result and toxicity, and converts the read treatment result and toxicity into values suitable for display. The control circuit 15 determines the display position of the similar patient in the two-dimensional region 134 based on the converted treatment result and toxicity.

  The control circuit 15 compares the treatment result and toxicity of the designated patient predicted at the time of confirmation with the treatment result and toxicity of the similar patient. The control circuit 15 sets a similar patient whose treatment result is better than the predicted treatment result and a similar patient whose toxicity is better than the predicted toxicity as selectable similar patients. The control circuit 15 further selects a similar patient with the best progress in each of the selectable similar patients in the good / good area, the good / bad area, and the bad / good area. The control circuit 15 assigns a mark different from the other similar patients to the similar patient having the best progress in each of the good / good area, the good / bad area, and the bad / good area. As a result, the selected similar patient is highlighted and displayed. The control circuit 15 creates a two-dimensional area 134 based on the determined display position and the assigned mark.

  The control circuit 15 calculates the proportion of similar patients present in each good / bad area. Based on the ratio calculated for each good / bad area, the control circuit 15 creates a region 135 representing the ratio of similar patients placed in each area.

  FIG. 17 is a diagram illustrating an example of a display image created when the treatment status is the third day irradiation for the patient ID 10067. The display image shown in FIG. 17 is determined to be a display image created when the treatment status is irradiation on the third day, based on the black humanoid mark attached to the leftmost cell of “Radiotherapy Treatment”. Is done. Note that the display image shown in FIG. 17 is a screen created when the confirmation time is the first follow-up after the treatment and no narrowing conditions are set. In addition, patient ID 10000 which is a similar patient with the best progress in the good / good area, patient ID 10005 which is the similar patient with the best progress in the good / bad area, and a similar patient with the best progress in the bad / good area The coordinate point representing the treatment result and toxicity for the patient ID 10001 is marked with a larger mark than other similar patients.

  When the operator who views the display circuit 13 selects the patient ID 10000 which is the similar patient whose progress is the best in the good / good area, the control circuit 15 executes the display image creation function 154. The control circuit 15 reads data regarding the patient ID 10000 from the storage circuit 14. FIG. 18 is a diagram illustrating an example of data regarding the patient ID 10000 read by the control circuit 15. According to FIG. 18, the control circuit 15 obtains the treatment plan number 1 from the treatment data table using the patient ID 10000 as a search key, and obtains three gate irradiations (50 Gy / 25 times / 4 weeks) from the treatment plan number 1. To do. The control circuit 15 creates a display image based on the acquired data. The control circuit 15 causes the display circuit 13 to display the created display image.

  In the flowchart shown in FIG. 12, the case where the control circuit 15 creates the display image shown in FIG. 17 has been described as an example. However, it is not limited to this. In step S1210, the control circuit 15 may create the display image shown in FIG. 19 based on the treatment result and toxicity of the designated patient at the confirmation time and the treatment result and toxicity of the similar patient at the confirmation time. In the display image shown in FIG. 19, a mark representing the designated patient is displayed in the two-dimensional region 134 in addition to the display image shown in FIG. 17.

  As described above, in the first embodiment, the control circuit 15 executes the analysis function 152 to select similar patients whose attributes are similar to those of the designated patient. Then, the control circuit 15 executes a display image creation function 154 to create a two-dimensional map with the treatment result and toxicity as axes, and displays similar patients corresponding to the patient specified on the two-dimensional map. Like to do.

  As a conventional technique, there is a technique capable of simulating a treatment result and toxicity by using diagnosis data of a patient and treatment data at the time of treatment planning. However, physicians had to simulate treatment results and toxicity while changing treatment plan values based on their experience. Therefore, confirmation work occurs many times, which increases the burden. It may also be difficult to derive an optimal treatment plan and toxicity.

  On the other hand, the medical information processing apparatus 10 according to the first embodiment displays similar patients corresponding to a designated patient on a two-dimensional map with the treatment result and toxicity as axes. As a result, the medical information processing apparatus 10 can reach the designated patient and can select an optimal treatment result and toxicity from similar patients displayed on the two-dimensional map. That is, an operator such as a doctor does not need to simulate treatment results and toxicity while changing input parameters a plurality of times in order to obtain optimal treatment results and toxicity.

  Therefore, according to the medical information processing apparatus 10 according to the first embodiment, a doctor who is an operator can easily select an optimal treatment result and a side effect, and determines a treatment plan according to the selected treatment result and the side effect. can do.

  In the first embodiment, the control circuit 15 executes the prediction function 153 to create a calculation formula for predicting the treatment result and toxicity at the designated confirmation time based on the selected similar patients. . The control circuit 15 calculates a treatment result and toxicity using the created calculation formula for the designated patient. Then, the control circuit 15 displays the designated patient and similar patients on the two-dimensional map by executing the display image creation function 154. Thereby, the medical information processing apparatus 10 can reach the designated patient, and selects the optimum treatment result and toxicity while comparing the designated patient displayed on the two-dimensional map with a similar patient. It becomes possible to make it.

  In the first embodiment, the control circuit 15 executes the display image creation function 154 to create a display image that displays a treatment plan for a similar patient specified on the two-dimensional map. Yes. Thereby, the medical information processing apparatus 10 can easily obtain a treatment plan for a similar patient who can expect an optimal treatment result and toxicity for a designated patient.

  In the first embodiment, when the designated patient is being treated by the prediction function 153, the control circuit 15 uses the treatment result and toxicity acquired at the time of treatment to calculate the treatment result and toxicity. I try to predict. Prior art cannot support the decision whether to change the treatment plan during treatment. On the other hand, since the medical information processing apparatus 10 according to the first embodiment predicts the treatment result and toxicity using the treatment result and toxicity acquired at the time of treatment, the decision support that takes into account the measurement result during treatment Can be performed.

  In the first embodiment, the resource management includes treatment costs, time taken by doctors and technicians, time taken for nursing, hospitalization period, time spent using the device, use of home care facilities, and the like. Data is managed by being included in the treatment data. The control circuit 15 narrows down similar patients according to the narrowing-down conditions set for the resource management data by the display image creation function 154. Conventionally, a treatment plan has not been made in consideration of the viewpoint of resource management. On the other hand, since the medical information processing apparatus 10 according to the present embodiment narrows down similar patients based on resource management data, it is possible to make a treatment plan in consideration of the viewpoint of resource management.

  In the first embodiment, the case where the control circuit 15 selects a similar patient using the data mining by the analysis function 152 has been described as an example. However, it is not limited to this. The control circuit 15 may use other statistical methods such as correlation and regression analysis, time series analysis, multidimensional analysis, and simulation by the analysis function 152.

  In the first embodiment, the control circuit 15 acquires non-image data stored in the electronic medical record server 30 and the treatment information server 40 by the data acquisition function 151. And the control circuit 15 demonstrated the case where the similar patient about the designated patient was selected by analyzing non-image data using a predetermined data analysis method. However, it is not limited to this. The control circuit 15 may extract necessary data from the image data stored in the image server 20 by the data acquisition function 151. At this time, the storage circuit 14 stores the extracted data extracted by the control circuit 15. And the control circuit 15 selects the similar patient about the designated patient by analyzing a non-image data and extraction data using a predetermined | prescribed data analysis method by the analysis function 152. FIG.

  In the first embodiment, the control circuit 15 classifies the patient into segments by, for example, two axes by the analysis function 152, and sets patients belonging to the same segment as similar patients. And the control circuit 15 demonstrated the case where the prediction function 153 created the calculation formula which estimates the treatment result and toxicity at the time of confirmation based on the data regarding the selected similar patient. However, it is not limited to this. For example, the control circuit 15 may select two types of similar patients by the analysis function 152. The first similar patient is selected to be able to compare treatment results and toxicity with the designated patient and select a more effective treatment. A second similar patient is selected to predict treatment outcome and toxicity at the time of confirmation. In addition, the information of 2nd similar patients is similar in more attributes than the information of 1st similar patients. The control circuit 15 uses the prediction function 153 to create a calculation formula for predicting the treatment result and toxicity at the time of confirmation based on the data related to the selected second similar patient.

(Second Embodiment)
In 1st Embodiment, the case where the medical information processing apparatus 10 implements selection of a similar patient demonstrated as an example. However, devices other than the medical information processing device 10 may be selected for similar patients.

  FIG. 20 is a block diagram illustrating a configuration of a medical information system including the medical information processing apparatus 50 according to the second embodiment. The medical information system shown in FIG. 20 includes a medical information processing device 50, a signal processing device 60, an image server 20, an electronic medical record server 30, and a treatment information server 40. The medical information processing device 50, the signal processing device 60, the image server 20, the electronic medical record server 30, and the treatment information server 40 are connected via a network.

  The signal processing device 60 includes a processor that executes predetermined processing. The signal processing device 60 analyzes data extracted from the image data stored in the image server 20 and non-image data stored in the electronic medical record server 30 and the treatment information server 40 using a predetermined data analysis method. Thus, the patient is classified into a plurality of segments. Here, the predetermined data analysis method is, for example, a data mining and statistical method.

  When a patient is specified by the presentation of a patient ID or the like from the medical information processing apparatus 50, the signal processing device 60 sets a patient belonging to the same segment as the specified patient as a similar patient, and sets the patient ID for the similar patient as medical information. The data is output to the processing device 50.

  The medical information processing apparatus 50 includes an input interface circuit 11, a communication interface circuit 51, a display circuit 13, a storage circuit 52, and a control circuit 53.

  The communication interface circuit 51 accesses the signal processing device 60, the image server 20, the electronic medical record server 30, and the treatment information server 40 via a network. The communication interface circuit 51 receives data supplied from the signal processing device 60, the image server 20, the electronic medical record server 30, and the treatment information server 40.

  The storage circuit 52 includes a memory that stores electrical information, and a peripheral circuit such as a memory controller and an interface associated with the memory. The memory includes, for example, a magnetic or optical recording medium or a recording medium readable by a processor such as a semiconductor memory. The storage circuit 52 stores an operation program executed by the medical information processing apparatus 50. The storage circuit 52 reads out the stored operation program in response to a request from the control circuit 53 provided in the medical information processing apparatus 50.

  The storage circuit 52 stores data acquired from the image server 20, the electronic medical record server 30, and the treatment information server 40 via the communication interface circuit 51. Further, the storage circuit 52 stores the confirmation time point input from the input interface circuit 11.

  The control circuit 53 is a processor that functions as the center of the medical information processing apparatus 50. The control circuit 53 reads the operation program from the storage circuit 52 and executes the read operation program, thereby realizing a function corresponding to the program. For example, the control circuit 53 has a data acquisition function 531, a prediction function 532, and a display image creation function 533 shown in FIG. 21 by executing an operation program.

  The data acquisition function 531 is a function for acquiring data related to a designated patient from the image server 20, the electronic medical record server 30, and the treatment information server 40. Specifically, by executing the data acquisition function 531, the control circuit 53 designates the patient to the image server 20, the electronic medical record server 30, and the treatment information server 40 by presenting the patient ID and the like, and data about the designated patient Request. The control circuit 53 receives data related to the designated patient from the image server 20, the electronic medical record server 30, and the treatment information server 40, and stores the received data in the storage circuit 52.

  Further, by executing the data acquisition function 531, the control circuit 53 designates a patient to the signal processing device 60 by presenting the patient ID and requests a similar patient ID for the designated patient. The control circuit 53 receives the patient ID of the similar patient from the signal processing device 60 and causes the storage circuit 52 to store the received data.

  The prediction function 532 is a function for predicting the treatment result and toxicity at the time of confirmation of the designated patient. Specifically, the control circuit 53 reads out the data related to the designated patient and the data related to the similar patient about the designated patient from the storage circuit 52 by executing the prediction function 532. In addition, the control circuit 53 receives an input from the input interface circuit 11 about a confirmation time point at which a treatment result and toxicity prediction are desired. The control circuit 53 creates a calculation formula for predicting the treatment result and toxicity at the time of confirmation based on data on similar patients.

  The control circuit 53 sets a value for the designated patient in the created calculation formula. The control circuit 53 performs calculation using the set argument, and calculates the treatment result and toxicity at the input confirmation time point.

  The display image creation function 533 is a function for creating a display image to be displayed on the display circuit 13. Specifically, by executing the display image creation function 533, the control circuit 53 creates a display image based on the treatment result and toxicity for the similar patient read from the storage circuit 52. In addition, the control circuit 53 creates a display image based on the predicted treatment result and toxicity and the treatment result and toxicity for the similar patient read from the storage circuit 52. The control circuit 53 causes the display circuit 13 to display the created display image.

  Further, by executing the display image creation function 533, the control circuit 53 creates an image for displaying treatment plan data for the similar patient selected by the operator. Specifically, when the operator gives a selection instruction for any one of the black human-type marks displayed in the two-dimensional area 134, the control circuit 53 resembles a similar patient corresponding to the selected mark. Is read from the storage circuit 52. When the control circuit 53 obtains the treatment plan data for the selected similar patient, the control circuit 53 creates an image for displaying the treatment plan data. The control circuit 53 causes the display circuit 13 to display the created image.

  In addition, by executing the display image creation function 533, the control circuit 53 creates a display image at a past treatment point. Specifically, when the operator gives an instruction to move the black human-shaped mark attached to the region 131 representing the time point in the past direction, the control circuit 53 instructs the past treatment The display image created at the time is created again. The control circuit 53 may store the display image created at the past treatment time in the storage circuit 52 and read the stored past display image in accordance with an instruction from the operator.

  In addition, by executing the display image creation function 533, the control circuit 53 creates a display image for the designated confirmation time point. Specifically, the control circuit 53 determines the time point after the movement when the operator gives an instruction to move the hatched humanoid mark attached to the area 131 indicating the confirmation time point. Create a new display image as the confirmation point.

  In addition, by executing the display image creation function 533, the control circuit 53 creates an image that displays the treatment result or detailed data of toxicity for the selected similar patient. Specifically, the control circuit 53 reads the detailed toxicity data from the storage circuit 52 when the operator requests detailed toxicity data for the similar patient. The control circuit 53 creates an image for displaying the detailed data based on the read detailed data. The control circuit 53 causes the display circuit 13 to display a display image regarding the created detailed data of “Toxicity”.

  Further, the control circuit 53 reads out the detailed data of the treatment result from the storage circuit 52 when the operator requests the detailed data of the treatment result for the similar patient. The control circuit 53 creates an image for displaying the detailed data based on the read detailed data. The control circuit 53 causes the display circuit 13 to display a display image relating to the detailed data of the created “RT Treatment Response”.

  Next, an operation when the medical information processing apparatus 50 configured as described above creates a display image will be described. FIG. 22 is a flowchart showing an example of a procedure when the control circuit 53 shown in FIGS. 20 and 21 creates a display image.

  First, the control circuit 53 accepts a patient designation such as an input of a patient ID (step S221). The control circuit 53 executes the data acquisition function 531 when receiving the designation of the patient. By executing the data acquisition function 531, the control circuit 53 transmits the patient ID to the image server 20, the electronic medical record server 30, and the treatment information server 40, so that data regarding the designated patient is transmitted to the image server 20, the electronic medical record server 30, and the treatment information. A request is made to the server 40 (step S222). When the control circuit 53 receives data related to the designated patient transmitted in response to the request from the image server 20, the electronic medical record server 30, and the treatment information server 40, the control circuit 53 stores the received data in the storage circuit 52.

  The control circuit 53 requests the patient ID of the similar patient for the designated patient from the signal processing device 60 (step S223). When the control circuit 53 receives the patient ID of the similar patient transmitted in response to the request from the signal processing device 60, the control circuit 53 stores the received data in the storage circuit 52. The control circuit 53 transmits the patient ID of the similar patient to the image server 20, the electronic medical record server 30, and the treatment information server 40, thereby requesting the image server 20, the electronic medical record server 30, and the treatment information server 40 for data related to the similar patient. (Step S224). The control circuit 53 stores the received data in the storage circuit 52 when receiving the data regarding the similar patient transmitted in response to the request from the image server 20, the electronic medical record server 30, and the treatment information server 40.

  Subsequently, the control circuit 53 executes the prediction function 532 and determines whether or not a confirmation time point is designated (step S225). When the confirmation time point is designated (Yes in step S225), the control circuit 53 creates a calculation formula for predicting the treatment result and toxicity at the designated confirmation time point based on the data related to the similar patient (step S226). When the confirmation time point is not specified (No in step S225), the control circuit 53 sets a predetermined confirmation time point (step S227), and the process proceeds to step S226.

  In the prediction function 532, the control circuit 53 reads data related to the designated patient from the storage circuit 52. The control circuit 53 assigns the data read from the storage circuit 52 to the calculation formula created in step S226, and calculates the treatment result and toxicity of the designated patient at the time of confirmation (step S228).

  When the treatment result and toxicity for the designated patient are calculated, the control circuit 53 executes the display image creation function 533. When the display image creation function 154 is executed, the control circuit 53 reads data related to the similar patient from the storage circuit 52 (step S229).

  The control circuit 53 determines whether or not a narrowing condition is input via the input interface circuit 11 (step S2210). When there is an input of a narrowing condition (Yes in step S810), the control circuit 53 extracts a similar patient that satisfies the input narrowing condition from the read similar patients (step S2211). When no narrowing condition is input (No in step S2210), the control circuit 53 shifts the process to the next step after step S2211 without narrowing down.

  The control circuit 53 creates a display image based on the treatment result and toxicity of the similar patient at the time of confirmation (step S2212). Specifically, the control circuit 53 executes the display image creation function 533 to create a region 131 for displaying basic patient information based on the basic patient data for the designated patient. In addition, the control circuit 53 creates a region 132 representing a time point based on the treatment plan and treatment status for the designated patient. Further, the control circuit 53 creates a region 132 representing the time based on the set confirmation time. Further, the control circuit 53 creates an area 133 for inputting the narrowing condition based on the inputted narrowing condition.

  In addition, the control circuit 53 reads the input treatment result and toxicity at the confirmation time point from the storage circuit 52 for the narrowed similar patient or the similar patient for which the narrowing process has not been performed. The control circuit 53 performs a process such as a scale change on the read treatment result and toxicity, and converts the read treatment result and toxicity into values suitable for display. The control circuit 53 determines the display position of the similar patient in the two-dimensional region 134 with the treatment result as the X axis and the toxicity as the Y axis based on the treatment result and toxicity after the conversion.

  The control circuit 53 compares the treatment result and toxicity of the designated patient predicted at the time of confirmation with the treatment result and toxicity of the similar patient. The control circuit 53 sets a similar patient whose treatment result is better than the predicted treatment result and a similar patient whose toxicity is better than the predicted toxicity as selectable similar patients. The control circuit 53 further selects a similar patient having the best progress in each of the selectable similar patients in the good / good area, the good / bad area, and the bad / good area. The control circuit 53 assigns a mark different from the other similar patients to the similar patient having the best progress in each of the good / good area, the good / bad area, and the bad / good area. The control circuit 53 creates a two-dimensional area 134 based on the determined display position and the assigned mark.

  The control circuit 53 calculates the proportion of similar patients present in each good / bad area. Based on the ratio calculated for each good / bad area, the control circuit 53 creates a region 135 representing the ratio of similar patients arranged in each area. Through the above processing, for example, the display image shown in FIG. 17 is created.

  As described above, in the second embodiment, the control circuit 53 executes the display image creation function 533 to create a two-dimensional map with the treatment result and toxicity as axes, and on the two-dimensional map, Similar patients selected by the signal processing device 60 are displayed. Thereby, the medical information processing apparatus 50 according to the second embodiment can reach the designated patient, and selects the optimal treatment result and toxicity from the similar patients displayed on the two-dimensional map. It becomes possible to make it. That is, an operator such as a doctor does not need to simulate treatment results and toxicity while changing input parameters a plurality of times in order to obtain optimal treatment results and toxicity.

  Therefore, according to the medical information processing apparatus 50 according to the second embodiment, a doctor who is an operator can easily select an optimal treatment result and side effects, and determines a treatment plan according to the selected treatment results and side effects. can do.

  In the second embodiment, the control circuit 53 executes the prediction function 532 to predict the treatment result and toxicity at the designated confirmation time based on the similar patient selected by the signal processing device 60. Create a formula for. The control circuit 53 calculates the treatment result and the toxicity for the designated patient using the created calculation formula. Then, the control circuit 53 displays the designated patient and similar patients on the two-dimensional map by executing the display image creation function 533. As a result, the medical information processing apparatus 50 can reach the designated patient, and selects the optimum treatment result and toxicity while comparing the designated patient displayed on the two-dimensional map with a similar patient. It becomes possible to make it.

  In the second embodiment, the control circuit 53 executes the display image creation function 533 to create a display image that displays a treatment plan for a similar patient specified on the two-dimensional map. Yes. Thereby, the medical information processing apparatus 50 can easily obtain a treatment plan for a similar patient who can expect an optimal treatment result and toxicity for a designated patient.

  In the second embodiment, the control circuit 53 uses the prediction function 532 to determine the treatment result and toxicity using the treatment result and toxicity acquired at the time of treatment when the designated patient is being treated. I try to predict. Thereby, according to the medical information processing apparatus 50 which concerns on 2nd Embodiment, it becomes possible to perform the decision support which considered the measurement result during treatment.

  In the second embodiment, the resource management includes treatment costs, time required by doctors and technicians, time required for nursing, hospitalization period, time for using the device, presence / absence of use of home care facilities, and the like. Data is managed by being included in the treatment data. The control circuit 53 uses the display image creation function 533 to narrow down similar patients according to the narrowing conditions set for the resource management data. Thereby, according to the medical information processing apparatus 50 which concerns on 2nd Embodiment, it becomes possible to make a treatment plan in consideration of the viewpoint of resource management.

(Other embodiments)
In the first and second embodiments, the control circuits 15 and 53 use the display image creation functions 154 and 533 to display a display image that predicts the treatment result and toxicity of the designated patient at the confirmation time based on the current treatment time. The case of creating was explained as an example. However, it is not limited to this. For example, the control circuits 15 and 53 represent the change from the first display image created at the past treatment time point to the second display image created at the current treatment time point on the second display image. It doesn't matter if you do. The change is displayed as follows, for example.

  First, the control circuits 15 and 53 store the predicted treatment results and toxicity of the designated patient in the storage circuits 14 and 52 when creating the first display image at the past first treatment time point. When the generation of the second display image is instructed at the next second treatment time point, the control circuits 15 and 53 create the second display image for the confirmation time point based on the second treatment time point. Note that the second display image is read based on a mark representing the state of the designated patient predicted based on the state of the designated patient at the second treatment time point and a condition input at the second treatment time point. And a maximum range of selections drawn based on the status of similar patients at the time of confirmation.

  Subsequently, the control circuits 15 and 53 represent the change from the first display image to the second display image on the second display image. For example, the control circuits 15 and 53 acquire information about similar patients read at the first treatment time point. The control circuits 15 and 53 determine the position of the similar patient in the second display image with reference to the acquired treatment result and toxicity of the similar patient. The control circuits 15 and 53 select the similar patients located on the outermost side from the similar patients whose positions are determined, and connect the selected similar patients with a line. The line connecting the selected similar patients represents the maximum range of selection.

  The control circuits 15 and 53 determine the position of the designated patient in the second display image with reference to the treatment result and toxicity of the designated patient predicted at the first treatment time point. The control circuits 15 and 53 superimpose on the second display image a maximum range of selection related to the first treatment time point and a mark indicating the position of the designated patient related to the first treatment time point. Further, the control circuits 15 and 53 superimpose an arrow indicating movement of the maximum range of selection and an arrow indicating movement of the designated patient on the second display image. Note that the method for obtaining the maximum range of selection related to the first treatment time point is not limited to the above. For example, the control circuits 15 and 53 store, as image data, a line representing the maximum range of selection represented by the first display image created at the first treatment time point, and the second treatment time point at the second treatment time point. This image data may be read when the display image is created. Further, the display of the movement of the maximum range of selection and the display of the movement of the designated patient are not limited to arrows as long as the movement can be expressed.

  FIG. 23 is a diagram illustrating an example of a display image created at the time of treatment represented by the third square from the left of “Radiotherapy Treatment”. In FIG. 23, a change from the display image created at the time of treatment represented by the second square from the left of “Radiotherapy Treatment” is represented. The position of the base treatment point is represented by a dashed human figure. Thereby, the doctor can easily grasp the change in the maximum range of selection and the predicted treatment result and toxicity change with respect to the past treatment time point.

  In the first and second embodiments, the control circuits 15 and 53 perform the hatching of the human-type mark added to the area 132 representing the time by the display image creation functions 154 and 533. A case has been described as an example in which a display image at the confirmation time point instructed is newly created when there is an instruction from the operator to move. However, it is not limited to this. For example, the control circuits 15 and 53 change the change from the first display image created at the confirmation time of the movement source to the second display image created at the confirmation time of the movement destination on the second display image. You may make it express in. The change is displayed as follows, for example.

  First, the control circuits 15 and 53 cause the storage circuits 14 and 52 to store the position of the designated patient in the first display image created at the confirmation point of the movement source. The control circuits 15 and 53 select the similar patients located on the outermost side in the first display image created for the confirmation point of the movement source, and connect the selected similar patients with a line. The control circuits 15 and 53 connect the selected similar patients with a line to represent the maximum selection range with a line. The control circuits 15 and 53 cause the storage circuits 14 and 52 to store a line representing the maximum range of selection.

  The control circuits 15 and 53 create a second display image at the confirmation point of the movement destination. At this time, in the second display image, a mark indicating the state of the designated patient predicted for the confirmation point of the movement destination and the maximum range of selection drawn based on the state of the similar patient at the confirmation point of the movement destination And are included. The control circuits 15 and 53 superimpose on the second display image a line representing the maximum selection range for the confirmation point of the movement source and a mark indicating the position of the designated patient at the confirmation point of the movement source. Further, the control circuits 15 and 53 superimpose an arrow indicating movement of the maximum range of selection and an arrow indicating movement of the designated patient on the second display image. The display of the movement of the maximum range of selection and the display of the movement of the designated patient are not limited to arrows as long as the movement can be represented.

  FIG. 24 is a diagram illustrating an example of a display image when the human figure is moved from the first cell to the second cell from the left of “Flow-up Observation”. In FIG. 24, a change from the display image created for the confirmation time point represented by the first square from the left of “Flow-up Observation” is represented. The position at the confirmation point of the movement source is represented by a dashed human figure. Thereby, the doctor can easily grasp the change in the maximum selection range and the predicted treatment result and toxicity change when the confirmation time point is changed.

  In the first and second embodiments, the control circuits 15 and 53 receive the input at the confirmation time using the prediction functions 153 and 532, and create a calculation formula for predicting the treatment result and toxicity at the accepted confirmation time. The case has been described as an example. However, it is not limited to this. The confirmation time points may be recorded in advance in the storage circuits 14 and 52, and the control circuits 15 and 53 may create a calculation formula for predicting the treatment result and toxicity at the confirmation time points stored in the storage circuits 14 and 52.

  In the first and second embodiments, the control circuits 15 and 53 are configured to display similar patients extracted based on the narrowing-down conditions by the display image creation functions 154 and 533 based on the treatment result and toxicity at the time of confirmation. The case of displaying in the two-dimensional area 134 has been described as an example. However, it is not limited to this. The control circuits 15 and 53 may further select similar patients based on the treatment status. For example, the control circuits 15 and 53 further select similar patients that have passed the same treatment stage as the designated patient based on the treatment status of the designated patient. Specifically, the control circuits 15 and 53 may determine whether the designated patient's treatment time has already been irradiated on the third day of the treatment plan: Sanmon irradiation (50 Gy / 25 times / 4 weeks), A similar patient who has passed the same treatment stage as this treatment stage is further selected from the similar patients that have not been subjected to the narrowing process. Then, the control circuits 15 and 53 create a display image based on the information related to the selected similar patient. The treatment time of the designated patient may be input from the input interface circuit 11.

  In the first and second embodiments, the case where the patient ID is input as the search key for designating the patient has been described as an example. However, it is not limited to this. For example, the search key may be a combination of information included in the basic patient data, such as a name and date of birth.

  In the first and second embodiments described above, “Course”, “Chemotherapie Type”, and “Resource” are given as examples of the narrowing-down conditions, but are not limited thereto. As a narrowing-down condition, as shown in FIG. 25, “data source / region” may be included. The data source is its own facility or other facilities, and the region is a city, prefecture or country. Data representing the data source / region may be included in the treatment data.

  In the first and second embodiments, the case where the narrowing-down condition is used when narrowing down similar patients to be arranged in the display image has been described as an example. However, it is not limited to this. In the prediction functions 153 and 532, the control circuits 15 and 53 narrow down the data related to similar patients read from the storage circuits 14 and 52 according to the narrowing-down conditions. Then, the control circuits 15 and 53 may create a calculation formula for predicting the treatment result and toxicity at the time of confirmation based on the narrowed-down data regarding similar patients.

  In the first and second embodiments, the case where the medical information processing apparatuses 10 and 50 are used in radiotherapy has been described as an example. However, the medical information processing apparatuses 10 and 50 may be used in cancer therapy other than radiotherapy. For example, as illustrated in FIG. 26, the medical information processing apparatuses 10 and 50 may be used when determining a treatment plan in surgical treatment. Further, the medical information processing apparatuses 10 and 50 may be used, for example, when determining a treatment plan in chemotherapy as shown in FIG.

  Moreover, although the said 1st and 2nd embodiment demonstrated as an example the case where the medical information processing apparatus 10 and 50 was used by cancer treatment, it is not limited to this. For example, as illustrated in FIG. 28, the medical information processing apparatuses 10 and 50 may be used in disease prevention based on the result of a medical examination.

  The term “processor” used in the above description is, for example, a central processing unit (CPU), a graphics processing unit (GPU), or an application specific integrated circuit (ASIC)), a programmable logic device (for example, It means a circuit such as a simple programmable logic device (SPLD), a complex programmable logic device (CPLD), and a field programmable gate array (FPGA). The processor implements the function by reading and executing the program stored in the storage circuits 14 and 52. Instead of storing the operation programs for the control circuits 15 and 53 in the storage circuits 14 and 52, the respective operation programs may be directly incorporated in the circuits of the respective processors. In this case, the processor realizes the function by reading and executing the program incorporated in the circuit. The processor in each embodiment is not limited to being configured as a single circuit for each processor, but is configured as a single processor by combining a plurality of independent circuits, and includes a data acquisition function, an analysis function, a prediction function, A display image creation function or the like may be realized.

  Although several embodiments of the present 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, replacements, and changes can be made without departing from the spirit of the invention. These embodiments and their modifications are included in the scope and gist of the invention, and are also included in the invention described in the claims and the equivalents thereof.

  DESCRIPTION OF SYMBOLS 10 ... Medical information processing apparatus, 11 ... Input interface circuit, 12 ... Communication interface circuit, 13 ... Display circuit, 14 ... Memory circuit, 15 ... Control circuit, 151 ... Data acquisition function, 152 ... Analysis function, 153 ... Prediction function, 154: Display image creation function, 20 ... Image server, 30 ... Electronic medical record server, 40 ... Treatment information server, 50 ... Medical information processing device, 51 ... Communication interface circuit, 52 ... Memory circuit, 53 ... Control circuit, 531 ... Data Acquisition function, 532... Prediction function, 533... Display image creation function, 60.

Claims (15)

Data for acquiring information about a similar patient similar to the specified patient to be specified, and acquiring a value representing the first treatment effect and a value representing the first side effect based on the acquired information about the similar patient An acquisition unit;
A medical information processing apparatus comprising: a display image creation unit that creates a map image in which marks representing the similar patients are arranged based on a value representing the first treatment effect and a value representing the first side effect. A prediction unit that calculates a value representing a second therapeutic effect on the designated patient and a value representing a second side effect;
The medical information according to claim 1, wherein the display image creation unit arranges a mark representing the designated patient in the map image based on a value representing the second therapeutic effect and a value representing the second side effect. Processing equipment.   The medical information processing apparatus according to claim 1, further comprising an analysis unit that identifies the similar patient similar to the designated patient based on data related to the patient. An input unit for receiving a selection instruction for a mark representing the similar patient;
The medical information processing apparatus according to any one of claims 1 to 3, wherein the display image creation unit creates an image that displays detailed information about the selected similar patient in response to the selection instruction.   The prediction unit obtains a calculation formula for calculating a value representing the second treatment effect and a value representing the second side effect based on information about the similar patient, and uses the calculation formula The medical information processing apparatus according to claim 2, wherein a value representing the second therapeutic effect and a value representing the second side effect are obtained.   The said prediction part substitutes the information acquired during the treatment about the said designated patient in the said calculation formula, and calculates | requires the value showing the said 2nd treatment effect, and the value showing the said 2nd side effect. 5. The medical information processing apparatus according to 5. It further includes an input unit that receives an input of the refinement condition,
The display image creation unit acquires a value representing the first treatment effect and a value representing the first side effect based on information on similar patients satisfying the narrowing-down condition. A medical information processing apparatus according to claim 1.   The medical information processing apparatus according to claim 7, wherein the narrowing-down condition is a condition related to resource management data. A plurality of similar patients,
The display image creation unit selects a similar patient with the best value representing the first treatment effect and the value representing the first side effect for each preset area in the map image, and the selection The medical information processing apparatus according to any one of claims 1 to 8, wherein a mark that can be identified from a mark representing another similar patient is assigned to the similar patient.   The medical information processing apparatus according to claim 1, wherein the display image creation unit displays a change from a map image created in the past on the map image.   The display image creation unit creates the map image by arranging a mark representing the similar patient at a designated confirmation time, and displays a change from the map image created at a different confirmation time on the map image. The medical information processing apparatus according to any one of claims 1 to 9. An input unit for receiving a request for detailed information on a value representing the first therapeutic effect;
4. The medical information processing apparatus according to claim 1, wherein the display image creation unit creates an image that displays detailed information of a value representing the first treatment effect in response to the request. An input unit for receiving a request for detailed information on a value representing the first side effect;
The medical information processing apparatus according to claim 1, wherein the display image creating unit creates an image that displays detailed information of a value representing the first side effect in response to the request. A plurality of similar patients,
The said display image preparation part calculates the ratio of the similar patient arrange | positioned in the said area for every preset area in the said map image, and produces the image which displays the calculated ratio. The medical information processing apparatus according to any one of the above.   The display image creation unit selects a similar patient that has passed the treatment stage corresponding to the designated patient from the similar patients, and a value that represents the first therapeutic effect based on information about the selected similar patient; The medical information processing apparatus according to claim 1, wherein a value representing the first side effect is acquired.