JP4906404B2 - Diagnosis support method, diagnosis support apparatus, diagnosis support system, and diagnosis support program - Google Patents

Description

  The present invention provides a diagnosis support that supports a diagnosis based on a medical image by displaying a medical image and an icon group including a plurality of icons on an operation screen and executing various processes according to the operation of each icon. The present invention relates to a method, a diagnosis support apparatus, a diagnosis support system, and a diagnosis support program.

  In medical facilities such as clinics and hospitals, various modality devices using radiation (X-rays, α-rays, β-rays, γ-rays, etc.), ultrasound, MR (magnetic resonance), etc. are used to diagnose patient symptoms. Medical images are taken using The taken medical image is stored in a medical facility for a plurality of years for the purpose of confirming the prognosis. For this reason, a large amount of medical images must be stored in a medical facility, and securing of storage space, management work, search work, and the like have been a heavy burden.

  In order to solve such a problem, a diagnosis support system that connects a data center having a server and a medical facility via a network such as the Internet is known, for example, from Patent Document 1 and the like. In this diagnosis support system, a medical image taken at a medical facility is digitized and sent to a data center, and the data center manages the medical image. Thereby, the storage space for medical images in a medical facility can be significantly reduced. In addition, by performing management and search operations on the data center side, it is possible to improve the efficiency of medical facility operations.

The digitized medical image is displayed on a monitor of a client terminal installed in the medical facility. The doctor makes a diagnosis while viewing the medical image displayed on the monitor, and explains the result to the patient. At this time, an electronic medical image can be easily subjected to image processing such as enlargement, rotation, gradation conversion processing, frequency processing, and the like. By performing such image processing on a medical image, it is possible to make a doctor's diagnosis more efficiently and make the explanation to the patient easier to understand.
JP 2005-276002 A

  In consideration of operability, various operation instructions such as the above-described image processing are preferably performed by displaying an icon on the same screen together with the medical image and clicking this icon. However, if all the icons necessary for the operation of the doctor are displayed on the screen, the number of icons becomes very large. For this reason, it becomes difficult to select a desired icon from among a plurality of displayed icons, and a doctor who is unfamiliar with the operation cannot know which icon to select. Arise.

  The present invention has been made in view of the above problems, and a diagnosis support method and a diagnosis support apparatus capable of performing a diagnosis more efficiently when a doctor makes a diagnosis based on a medical image displayed on a screen. An object is to provide a diagnosis support system and a diagnosis support program.

To achieve the above tasks,
The diagnosis support method of the present invention that supports diagnosis based on the medical image by displaying a medical image and an icon group including a plurality of icons on the operation screen and executing various processes according to the operation of each icon. A reading step of reading out past information recording the icon operated in the past from a storage means, an extraction step of extracting the icon recorded in the past information from the icon group, and the extracted icon And displaying the extracted icons separately from the icon group by displaying the arranged toolbar on the operation screen separately from the icon group.

  Note that the past information is recorded in association with the icon operated in the past and its operation order, and the extracted icons are arranged according to the operation order between the extraction step and the display step. It is preferable to provide a step.

  Further, the past information is composed of an operation log that records the operation of the icon for each diagnosis of each patient, and statistical information that records the operation of the statistical icons of a plurality of doctors, and the display step includes: When the operation log is included in the past information, at least one of the icon extracted based on the operation log and the icon extracted based on the statistical information is displayed. When the operation log is not included, it is preferable to display only the icon extracted based on the statistical information.

Furthermore, it is preferable that when any of the extracted icon or the icon included in the icon group is operated, the operation is recorded as a new operation log.

  In addition, it is preferable that the extraction step includes a step of adding the icon extracted based on regional information recording information on a disease spreading in a specific region to the icon extracted based on the past information. .

  Moreover, it is preferable that the said extraction step has a step which adds the said icon extracted based on the patient information showing the individual information of each patient to the said icon extracted based on the said past information.

  Furthermore, if the icon extracted in the extraction step includes a remote interpretation request icon for requesting interpretation of the medical image to another medical facility, the interpretation has been requested in the past. It is preferable to determine whether or not the remote interpretation request icon is highlighted when it is determined that it has been requested.

The diagnosis of the present invention that supports diagnosis based on the medical image by displaying a medical image and an icon group including a plurality of icons on the operation screen and executing various processes according to the operation of each icon. The support device includes an extraction unit that extracts the icon recorded in the past information from the icon group based on past information in which the icon operated in the past, and a toolbar in which the extracted icons are arranged. Display control means for displaying the extracted icon on the operation screen by displaying it on the operation screen separately from the icon group is provided.

  Further, it is preferable that storage means for storing the past information is provided, and the extraction means reads out the past information from the storage means and extracts the icon.

In addition, a medical facility provided with a client terminal and a data center connected to the medical facility via a network, a medical image and an icon group including a plurality of icons are displayed on the operation screen of the client terminal. The diagnosis support system of the present invention that supports diagnosis based on the medical image by executing various processes according to the operation of each icon records the icon operated in the past in the data center. the storage means is provided for storing the past data, to the client terminal, extracting means for extracting the icon that is recorded in the past information from the icon group reads the past information from the storage means, extracted by displaying a toolbar that by arranging the icons separately the operation screen and the icon group, extracted The serial icon in distinction from the icon group characterized in that a display control means for displaying on the operation screen.

Furthermore, by causing the computer to perform a step of displaying a medical image and an icon group including a plurality of icons on the operation screen and a step of executing various processes in accordance with the operation of each icon, The diagnosis support program according to the present invention for supporting diagnosis based on the present invention includes a reading step of reading past information recording the icon operated in the past from a storage means, and the icon recorded in the past information from the icon group. An extraction step for extracting, and a display step for displaying the extracted icon separately from the icon group by displaying a toolbar on which the extracted icons are arranged on the operation screen separately from the icon group. Features.

  In the present invention, the icon recorded in the past information is extracted from the icon group, and the extracted icon is displayed separately from the icon group. As a result, the doctor can know what operation has been performed on the medical image in the past by looking at the extracted icon, so that the diagnosis can be performed efficiently.

  FIG. 1 is an explanatory diagram schematically showing the configuration of the diagnosis support system 10. The diagnosis support system 10 includes a plurality of medical facilities 12 such as hospitals and clinics, and a data center 14 connected to each medical facility 12 via a network 16. Each medical facility 12 transmits various medical information MI such as information on a patient to be hospitalized and medical images acquired at the time of diagnosis to the data center 14 via the network 16. The data center 14 stores the medical information MI sent from each medical facility 12 and returns the stored medical information MI in response to a request from each medical facility 12.

  In this way, the diagnosis support system 10 reduces the storage space for medical records and medical image films from the medical facility 12 by the data center 14 collectively managing medical information MI generated at each medical facility 12 as electronic data. At the same time, the data center 14 manages and searches for the medical information MI, thereby improving the efficiency of the work at the medical facility 12. Further, the diagnosis support system 10 strengthens the cooperation between the medical facilities 12 by sharing the medical information MI of the medical facilities 12 via the data center 14.

  The medical facility 12 includes a client terminal (diagnosis support device) 20 that manages medical information MI in the medical facility 12, a modality device 22 that captures medical images, and various electronic data including medical images such as paper and film. A printer 24 for printing on the network and a network interface 26 for connecting to the network 16 are provided. These devices are connected to each other via a local area network (LAN) in the medical facility 12. In FIG. 1, one client terminal 20, one modality device 22, and one printer 24 are provided. However, a plurality of these devices may be provided in the medical facility 12.

  For example, the client terminal 20 is disposed in an examination room of the medical facility 12. The client terminal 20 is used when a doctor inputs medical information MI related to a patient. For example, the doctor inputs medical information MI through the client terminal 20 while performing a medical examination while facing a patient. Further, when the doctor explains the diagnosis result to the patient, the client terminal 20 displays a medical image taken by the modality device 22 and each medical information MI read from the data center 14 to explain the diagnosis result. To help.

  Examples of medical information MI input by a doctor include patient information, examination information, and medical information. The patient information represents personal information of each patient, and includes, for example, patient name, patient ID, current address, date of birth, age, sex, family structure, past history, and presence of allergies. The patient ID is a number unique to each patient that is automatically issued by the client terminal 20 when patient information is input. The patient ID is represented by, for example, an 8-digit number obtained by adding a 4-digit medical facility number assigned to each medical facility 12 to a 4-digit serial number, and the patient ID is not duplicated in each medical facility 12. ing. The patient ID issuance method and the number of digits are not limited to those described above. For example, a serial number may be issued from the data center 14. Further, the patient ID is not limited to only numbers, and may be combined with, for example, letters such as alphabets or symbols.

  The examination information is information such as a medical image taken at the time of diagnosis, and includes, for example, an examination date, an examination device, an examination method, an examination site, and the like. The inspection method refers to the orientation of the patient with respect to imaging of the front and side surfaces, the presence or absence of a contrast agent, and the like. In addition, the examination site includes a chest, abdominal abdomen, limbs, and lumbar vertebrae that are the subject of examination. The medical information is information on medical care for the patient, and includes, for example, a medical date, medical department, name of injury, diagnosis result, treatment period, type and amount of medication, prescription pharmacy name, and the like. The term “treatment period” refers to a period during which the patient is admitted to the medical facility 12 for the same injury or illness.

  The patient information is not limited to the client terminal 20 and may be input via, for example, a receipt computer (not shown) that creates and records a receipt (medical fee description). In addition, the inspection information is not limited to the client terminal 20 and may be input, for example, when photographing with the modality device 22. Furthermore, each information may be aggregated as one piece of information for the patient without being divided.

  As the modality device 22, for example, a well-known medical imaging apparatus such as an ultrasonic diagnostic apparatus, a CR (Computed Radiography) apparatus, a CT (Computed Tomography) apparatus, an MRI (Magnetic Resonance Imaging) apparatus, or the like is used. A medical image captured by the modality device 22 is transmitted to the client terminal 20 via the LAN. At this time, the modality device 22 writes, for example, a patient ID or the like as metadata into a medical image so that the patient can easily identify which medical image the photographed medical image belongs to. As a file format of such a medical image, for example, a DICOM (Digital Imaging and Communications in Medicine) format is known. Digital medical images can be taken directly by the modality device 22 using an image sensor or the like, and can be taken by the analog modality device 22 and digitized by a scanner (not shown). And

  The network interface 26 connects the LAN of the medical facility 12 and the network 16 by converting data into a format corresponding to the LAN of the medical facility 12 and a format corresponding to the network 16. The network interface 26 is, for example, a modem or a router, and is appropriately selected based on the network 16 or LAN standard. The network 16 may be any network as long as the medical facility 12 and the data center 14 can communicate with each other such as a dedicated line, a public switched telephone network (PSTN), and the Internet.

  The data center 14 includes a data server 30 that controls transmission and reception of medical information MI with each medical facility 12, a storage unit (storage means) 32 that stores medical information MI transmitted from each medical facility 12, and a network 16. And a network interface 34 for connecting to the network. These devices are connected to each other via a LAN in the data center 14.

  The data server 30 sorts the medical information MI received from each medical facility 12 into information such as patient information, examination information, medical information, and medical images, and stores the information in the storage unit 32. Further, the data server 30 reads each piece of information stored from the storage unit 32 in response to a request from each medical facility 12, and transmits the read medical information MI to the requesting medical facility 12. Further, when the data server 30 exchanges medical information MI with each medical facility 12, for example, the medical facility number, a doctor ID number assigned to each doctor, or a digital certificate issued in advance to each client terminal 20 Etc. to prevent unauthorized access to the data center 14.

  The storage unit 32 is a so-called network-compatible storage device. The storage unit 32 is composed of various drives for recording on a medium such as a DVD, a hard disk drive (HDD), and the like. Note that the number of storage units 32 is not limited to one, and a plurality of storage units 32 may be provided, for example, for main and backup. The storage unit 32 may be, for example, an aggregate of a plurality of drives provided for each item of medical information MI to be stored. Furthermore, the storage unit 32 is not limited to a network compatible type, and may be, for example, an HDD of the data server 30.

  The storage unit 32 includes a patient information database (DB) 32a, examination information DB 32b, medical information DB 32c, medical image DB 32d, case image DB 32e, operation log DB 32f, statistical information DB 32g, and the like according to each item of medical information MI. A database has been built. Patient information sent from each medical facility 12 is stored in the patient information DB 32a. Similarly, examination information, medical information, and medical images sent from each medical facility 12 are stored in the examination information DB 32b, the medical information DB 32c, and the medical image DB 32d, respectively.

  The case image DB 32e stores case images used for comparison with medical images. The case image is displayed side by side with the medical image when the medical image is displayed on the client terminal 20 and the diagnosis result is explained to the patient, for example. As the case image, for example, a medical image showing a more severe or milder symptom of the same injury or illness as the patient, a medical image of the same part of a healthy person, or the like is used. As described above, the medical image of the patient and the case image are displayed side by side, and the difference in the affected part is compared, so that the explanation of the diagnosis result to the patient can be made easier to understand.

  For this reason, in the case image DB 32e, for example, a plurality of case images corresponding to attributes such as the symptoms of each injury and illness, imaging region, patient age, and sex are prepared in advance. This case image is also created in the DICOM format or the like, and the aforementioned attribute information is recorded as metadata. Note that the case image includes an anatomical diagram drawn by illustration in addition to a medical image taken by the modality device 22 or the like.

  The operation log DB 32f stores an operation log indicating what operation procedure is used when the medical image is displayed on the client terminal 20 and the diagnosis result is explained to the patient. The operation log is recorded by the client terminal 20 at the time of diagnosis, and transmitted to the data center 14 together with other medical information MI after the diagnosis is completed. The statistical information DB 32g stores statistical information indicating statistical data of the operation procedure. The statistical information is created in advance for each attribute such as the age, sex, and imaging region of the patient based on, for example, operation logs of a plurality of doctors. Further, each attribute is given as metadata to the statistical information.

  The network interface 34 connects the LAN of the data center 14 and the network 16 by converting data into a format corresponding to the LAN of the data center 14 and a format corresponding to the network 16. The network interface 34 is, for example, a modem or a router, and is appropriately selected in accordance with the network 16 or LAN standard.

  FIG. 2 is a block diagram schematically illustrating the configuration of the client terminal 20. The client terminal 20 is a known personal computer or workstation, and includes a CPU (extraction means, display control means) 40, a memory 41, an HDD 42, a monitor 43, a mouse 44, a keyboard 45, and a LAN board 46. And have. These units are connected to each other via a bus 47. The HDD 42 stores a diagnosis support program 42 a corresponding to the diagnosis support system 10. The CPU 40 reads out the diagnostic support program 42a from the HDD 42, develops it in the memory 41, and sequentially controls the client terminal 20 by sequentially processing the diagnostic support program 42a.

  The monitor 43 displays various operation screens according to each process of the diagnosis support program 42a by the CPU 40. The monitor 43 may be a known display device such as a liquid crystal display or a CRT display. The mouse 44 is a well-known pointing device that moves a pointer displayed on the monitor 43 and clicks an icon. The keyboard 45 is used when inputting characters and numbers into the client terminal 20. The LAN board 46 connects the client terminal 20 to the LAN of the medical facility 12. The LAN board 46 is appropriately selected according to the LAN standard such as Ethernet (registered trademark).

  An operator such as a doctor or a nurse inputs patient information, examination information, medical information, and the like through the keyboard 45 while viewing the operation screen displayed on the monitor 43. Each piece of input information is temporarily stored in the HDD 42 as a table file having a plurality of items, for example. The CPU 40 assigns, for example, an identification code indicating what information the file is and a patient ID as metadata to each information file stored in the HDD 42.

  In addition to the information, the HDD 42 temporarily stores medical images taken by the modality device 22 and operation logs recorded at the time of medical treatment. Each piece of information stored in the HDD 42 and medical information MI such as a medical image is transmitted to the data center 14 in response to a transmission instruction from the operator input via the mouse 44 or the keyboard 45. At this time, the CPU 40 adds a medical facility number or the like to the medical information MI and transmits it to the data center 14.

  The medical information MI transmitted to the data center 14 is input to the data server 30 via the network interface 34. The data server 30 that has received the medical information MI sorts the medical information MI into each information with reference to the identification code included in the metadata, and stores the sorted information in the respective databases 32 a to 32 g of the storage unit 32. The data server 30 storing the medical information MI transmits a storage confirmation signal to the transmission source medical facility 12 with reference to the medical facility number. The CPU 40 of the client terminal 20 that has received the save confirmation signal deletes the medical information MI temporarily stored in the HDD 42 and prevents the recording capacity of the HDD 42 from being compressed.

  Note that the timing at which the medical information MI is transmitted to the data center 14 is not limited to the transmission instruction from the operator. For example, the CPU 40 may periodically transmit the medical information MI, or the data server 30 may periodically suck the medical information MI. It may be. In addition, the timing of deleting the medical information MI from the HDD 42 is not limited to immediately after receiving the storage confirmation signal, but may be deleted after a predetermined period such as one year has passed, You may make it erase | eliminate after the treatment with respect to is completed.

  FIG. 3 is an explanatory diagram illustrating an example of an operation screen displayed on the monitor 43 of the client terminal 20. This operation screen 60 is displayed on the monitor 43 when the client terminal 20 is in the diagnosis standby state. On the operation screen 60, an icon display area 61 for displaying an icon group 62 composed of a plurality of icons 62a for inputting operation instructions, a medical image display area 63 for displaying medical images, and a case image are displayed. A case image display area 64 is provided. The operation screen 60 also displays a dialog box 65 for inputting a patient ID and a pointer 66 that moves on the operation screen 60 in accordance with the operation of the mouse 44.

  When the patient ID is entered in the dialog box 65, the CPU 40 is instructed to start diagnosis. The CPU 40 instructed to start diagnosis transmits, for example, an information request signal including the input patient ID and medical facility number to the data center 14 and requests the data center 14 for medical information MI of the patient to be diagnosed. The data server 30 of the data center 14 that has received the information request signal collates the patient ID recorded in the metadata with the patient ID included in the information request signal, and corresponds to the corresponding medical data from each database 32a to 32g of the storage unit 32. Read the information MI. The data server 30 that has read the medical information MI refers to the medical facility number included in the information request signal, and transmits the read medical information MI to the requesting medical facility 12.

  The CPU 40 of the client terminal 20 that has received the medical information MI from the data center 14 displays the received medical image in the medical image display area 63 of the operation screen 60. The doctor operates the mouse 44 to align the pointer 66 with each icon 62a, and clicks on each icon 62a to instruct the client terminal 20 to perform various operations. Give an explanation.

  The icon 62a included in the icon group 62 is, for example, a 90-degree rotation icon that instructs to change the orientation of the displayed medical image and case image, and an instruction to adjust the brightness and contrast of the displayed medical image and case image. A brightness change icon, a layout change icon for switching the display number of each image display area 62, 63, a paper print icon for instructing the printer 24 to print the displayed medical image, case image, etc., whether or not there is a lesion is not attached In this case, a remote interpretation request icon for requesting interpretation to other medical facilities 12 is provided.

  That is, the operation log described above indicates the operation of each icon 62a. As shown in FIG. 4, the operation log OL includes icon information CI indicating the icon 62a operated in the past diagnosis, The order information OI indicating the operation order is recorded in association with each other. Further, the above-described statistical information indicates a statistical operation of each icon 62a in each attribute, and is composed of icon information CI and order information OI as in the operation log.

  For example, the CPU 40 starts recording the operation log after receiving the medical information MI from the data center 14, and records the operation of each icon 62a in the HDD 42 until the end of diagnosis is instructed. The end of diagnosis is instructed, for example, by clicking an end icon provided in the icon group 62. Moreover, CPU40 which recorded the operation log gives the identification code which shows that it is an operation log, and patient ID as metadata to the recorded operation log, for example.

  In FIG. 3, only medical images are displayed in the received medical information MI, but an area for displaying other medical information MI such as patient information may be provided. The other medical information MI may be displayed, for example, when instructed from the icon 61a or a toolbar, or may be displayed in a window different from the operation screen 60.

  Next, referring to the flowchart shown in FIG. 5, the patient of gender: male, age: 55 years, imaging modality: CR device, imaging site: chest, past imaging frequency: 3 times, clinical department: internal medicine The operation of the diagnosis support system 10 having the above-described configuration will be described taking the patient A) as an example.

  An operation screen 60 shown in FIG. 3 is displayed on the monitor 43 of the client terminal 20 in the diagnosis standby state. The doctor who started diagnosis in response to the patient A visit enters the patient ID of the patient A in the dialog box 65 displayed floating on the operation screen 60. When the patient ID is input to the dialog box 65, an information request signal is transmitted from the CPU 40 to the data center 14, and the medical information MI of the patient A is requested. The data server 30 of the data center 14 that has received the information request signal accesses the storage unit 32. The data server 30 that has accessed the storage unit 32 searches the patient information DB 32a, the examination information DB 32b, the medical treatment information DB 32c, and the medical image DB 32d. Based on the patient ID included in the information request signal, the data server 30 Information, medical information, and medical images are read out.

  The data server 30 that has read each information and medical image determines whether or not the patient A has a past operation log based on the read examination information and medical information. Patient A has taken medical images three times in the past. For this reason, the operation log DB 32f stores three operation logs corresponding to photographing (diagnosis). The data server 30 that has determined that there is a past operation log by referring to the diagnosis result of the medical information, etc. searches the operation log DB 32f and reads the three operation logs of the patient A based on the patient ID.

  The data server 30 that has read the operation log identifies the attributes of the patient A such as age, gender, and medical image capturing site based on the patient information, examination information, and medical information. The data server 30 that has identified the attribute accesses the statistical information DB 32g, collates the identified attribute with the attribute recorded as metadata in the statistical information, and reads appropriate statistical information for the patient A. Note that the number of statistical information to be read is not limited to one, and a plurality of pieces of statistical information from different viewpoints may be read by, for example, combinations of attributes.

  The data server 30 that reads the medical information MI of the patient information, examination information, medical information, medical image, operation log, and statistical information refers to the medical facility number included in the information request signal, and uses the read medical information MI. Transmit to the requesting medical facility 12. The medical information MI transmitted to the medical facility 12 is sent to the client terminal 20 via the network 16, the network interface 26, and the LAN in the medical facility 12. When the corresponding medical information MI is not found when searching the storage unit 32 based on the patient ID, the request source indicates that the patient ID is not registered or the patient ID is incorrect. It is preferable to report to the medical facility 12.

  The CPU 40 of the client terminal 20 that has received the medical information MI displays the received medical image MP1 in the medical image display area 63 of the operation screen 60, as shown in FIG. The CPU 40 displaying the medical image MP1 determines whether or not an operation log is included in the received medical information MI. The CPU 40 that has determined that the operation log is included in the medical information MI extracts the icon recorded in the operation log from the icon group 62 displayed in the icon display area 61. The CPU 40 that has extracted the icons arranges the extracted icons in accordance with the operation order recorded in the operation log, and floatingly displays the icons 72a to 72e extracted as the first toolbar 70 on the operation screen 60 as shown in FIG. .

  On the right end of the first toolbar 70, a scroll button 71 is provided with up and down arrow marks. The icon extraction based on the operation log is performed for each operation log file, and by clicking the scroll button 71, the first operation, the second operation, the third operation, and the like are performed in the first toolbar 70. Each icon displayed in is switched. Note that the operation log may be recorded a plurality of times in one file without being divided into a plurality of files.

  The CPU 40 displaying the first toolbar 70 refers to the statistical information, and extracts the icon recorded in the statistical information from the icon group 62 displayed in the icon display area 61. The CPU 40 that has extracted the icons arranges the extracted icons in accordance with the operation order recorded in the statistical information, and floatingly displays the icons 76a to 76e extracted as the second toolbar 74 on the operation screen 60 as shown in FIG. . A scroll button 75 is also provided at the right end of the second toolbar 74, and when a plurality of statistical information is read, by clicking the scroll button 75, icons corresponding to the contents of the statistical information are displayed. The display in the second toolbar 74 is switched.

  By looking at the first toolbar 70, the doctor can easily know the icons 72a to 72e that have been operated on the patient A in the past and the operation order thereof. Further, by looking at the second toolbar 74, it is possible to easily know the statistical icons 76a to 76e used for diagnosing the sickness of the patient A and the operation order thereof. As described above, the client terminal 20 displays the extracted icons 72a to 72e and 76a to 76e separately from the icon group 62, thereby assisting the selection operation of the icon and supporting the diagnosis of the doctor based on the medical image MP1. To do. In FIG. 6, the toolbars 70 and 74 are arranged in the case image display area 64 for convenience. However, the toolbars 70 and 74 displayed in a floating manner are naturally operated by operating the mouse 44 and dragging. , It can be arranged at any position on the operation screen 60.

  The CPU 40 displaying the toolbars 70 and 74 starts recording a new operation log according to the diagnosis of the medical image MP1. The CPU 40 that has started recording the operation log enters a standby state for instructions from a doctor. The CPU 40 in the instruction standby state executes the process indicated by the icon in response to the click of each icon, and records the instructed icon in the HDD 42 as an operation log. The timing for starting the recording of the operation log is not limited to this, and may be started immediately after receiving the medical information MI from the data center 14, for example.

  The doctor clicks the icons 72a to 72e and 76a to 76e displayed on the toolbars 70 and 74, and the icons 62a displayed on the icon display area 61, and performs diagnosis while instructing the client terminal 20 to perform various operations. I do. For example, on the first toolbar 70, a continuous enlargement icon 72a, a brightness change icon 72b, a preset image processing icon 72c, a remote interpretation request icon 72d, and an inspection request icon 72e are displayed in order of operation from the left. When the continuous enlargement icon 72a is clicked, the medical image MP1 is enlarged to an arbitrary magnification. When the brightness change icon 72b is clicked, a dialog box for adjusting the brightness and contrast of the medical image MP1 pops up on the operation screen 60.

  When the preset image processing icon 72c is clicked, a menu of image processing applied to the medical image MP1 in order to perform diagnosis more accurately is popped up on the operation screen 60. The doctor can perform arbitrary image processing on the medical image MP1 by selecting the type of image processing from this menu. The types of image processing include, for example, energy subtraction processing for extracting only the bone component or soft component from the medical image MP1, gradation conversion processing for optimizing the gradation of the medical image MP1, and diagnosis from the medical image MP1. There is a frequency process for extracting only a necessary frequency region.

  When the remote interpretation request icon 72d is clicked, an input form for requesting interpretation of the medical image MP1 to an interpretation doctor or interpretation center enrolled in another medical facility 12 is displayed on the operation screen 60 or in another window. The The doctor can request the interpretation to the interpretation doctor or interpretation center by clicking the remote interpretation request icon and creating an interpretation request report according to the displayed input form when the injury or illness cannot be determined. .

  In addition, when the remote interpretation request icon 72d is extracted, the CPU 40 determines whether a request report has been created in the past based on medical information or the like. Here, the CPU 40 that has determined that a request report has been created in the past highlights the remote interpretation request icon 72d by changing the color or the like as shown in FIG. To inform. As a result, the doctor can easily obtain information such as the interpretation doctor or interpretation center requested in the past by reading and referring to the past request report. The past request report may be displayed together with a new request report input form, for example, when the remote interpretation request icon 72d is clicked.

  When the examination request icon 72e is clicked, a reservation slip for reserving an examination at another medical facility 12 that accepts an open appointment is displayed on the operation screen 60 or in another window. For example, when the doctor determines that the injury or illness cannot be determined only by the diagnosis based on the medical image MP1 photographed by the CR apparatus, the doctor makes a reservation by clicking the examination request icon 72e, and has a CT apparatus, an MRI apparatus, etc. The medical facility 12 is requested to be examined.

  On the second toolbar 74, a continuous enlargement icon 76a, a brightness change icon 76b, a case image reference icon 76c, an oval icon 76d, and a paper print icon 76e are displayed in order of operation from the left. The continuous enlargement icon 76 a and the brightness change icon 76 b are the same as those displayed on the first toolbar 70.

  When the case image reference icon 76c is clicked, the case image CP1 is displayed in the case image display area 64 as shown in FIG. In response to a click on the case image reference icon 76c, the CPU 40 transmits a case image request signal including, for example, patient attribute information and a medical facility number to the data center 14. The data server 30 of the data center 14 that has received the case image request signal accesses the storage unit 32. The data server 30 that has accessed the storage unit 32 searches the case image DB 32e, collates the attribute information included in the case image request signal with the attribute information recorded as metadata in each case image CP1, and selects an appropriate case. Read image CP1. The data server 30 that has read the case image CP1 refers to the medical facility number included in the case image request signal and transmits the case image CP1 to the requesting medical facility 12. Thus, the case image CP1 is displayed in the case image display area 64. Note that the case image CP1 is not limited to a single image, and a plurality of cases having different symptoms of injury or illness may be read out. In addition, when the case image reference icon is clicked, what kind of case image CP1 is necessary may be input in advance.

  When the oval icon 76d is clicked, an oval marker is displayed on the medical image MP1. This marker is used, for example, when showing the affected part. When the paper print icon 76e is clicked, the printer 24 is instructed to print. For example, the doctor prints a medical image MP1 or a report describing the diagnosis result and uses it for explanation to the patient.

  In this way, the doctor clicks each icon 72a to 72e, 76a to 76e, etc., and diagnoses the patient A while instructing various operations. Then, the diagnosis of the patient A is ended by confirming the wound and the treatment method or by requesting another medical facility 12 to interpret or examine, and the end icon provided in the icon group 62 is clicked. Note that the end icon may be displayed on each of the toolbars 70 and 74.

  The CPU 40 instructed to end the diagnosis by clicking the end icon stops recording the operation log. The CPU 40 that has stopped recording the operation log transmits the newly created operation log and medical information MI such as patient information and medical information updated with the diagnosis to the data center 14. The data server 30 that has received the medical information MI sorts the medical information MI into each information with reference to the identification code included in the metadata, and the sorted information is stored in the respective databases 32a, 32b, 32c, 32f of the storage unit 32. Save to. The data server 30 storing the medical information MI transmits a storage confirmation signal to the medical facility 12 that is the transmission source. The CPU 40 of the client terminal 20 that has received the save confirmation signal deletes the transmitted medical information MI. Further, since the medical image MP1 and the case image CP1 are originally stored in the data center 14, each image is also erased at the same time.

  Next, referring to the flowchart shown in FIG. 5, the patient of gender: female, age: 10 years old, imaging modality: CR device, imaging site: lower limb, number of previous imaging: none, clinical department: orthopedics The operation of the diagnosis support system 10 having the above-described configuration will be described by taking the patient B) as an example.

  The doctor who started diagnosis in response to the patient B visit enters the patient ID of the patient B in the dialog box 65 displayed floating on the operation screen 60. When the patient ID is input to the dialog box 65, an information request signal is transmitted from the CPU 40 to the data center 14, and the medical information MI of the patient B is requested. The data server 30 of the data center 14 that has received the information request signal accesses the storage unit 32. The data server 30 that has accessed the storage unit 32 searches the patient information DB 32a, the examination information DB 32b, the medical treatment information DB 32c, and the medical image DB 32d, and based on the patient ID included in the information request signal, the patient information and examination of the patient B Information, medical information, and medical images are read out.

  The data server 30 that has read each information and medical image determines whether the patient B has a past operation log based on the read examination information, medical information, and the like. At this time, since the patient B has not taken a medical image in the past, the operation log of the patient B is not stored in the operation log DB 32f. The data server 30 that has determined that there is no past operation log with reference to the diagnosis result of the medical information, etc. identifies the attribute of the patient B without searching the operation log DB 32f. The data server 30 that has identified the attribute accesses the statistical information DB 32g, collates the identified attribute with the attribute recorded as metadata in the statistical information, and reads appropriate statistical information for the patient B.

  The data server 30 that has read the medical information MI of the patient information, examination information, medical information, medical image, and statistical information transmits the medical information MI to the requesting medical facility 12. The CPU 40 of the client terminal 20 that has received the medical information MI displays the received medical image MP2 in the medical image display area 63 of the operation screen 60, as shown in FIG. The CPU 40 displaying the medical image MP2 determines whether or not an operation log is included in the received medical information MI.

  The CPU 40 that has determined that the operation log is not included in the medical information MI refers to the statistical information and extracts an icon recorded in the statistical information from the icon group 62 displayed in the icon display area 61. The CPU 40 that has extracted the icons arranges the extracted icons in the order recorded in the statistical information, and floatingly displays the icons 77a to 77e extracted as the second toolbar 74 on the operation screen 60 as shown in FIG.

  Thus, when the operation log is not included in the medical information MI, the client terminal 20 displays only the second toolbar 74 having the icons 77a to 77e extracted based on the statistical information. Thereby, even if there is no past operation record, it is possible to know the operation obtained statistically. For example, even if the doctor is unfamiliar with the operation, each icon 77a to 77e displayed on the second toolbar 74 is displayed. By referring to, diagnosis can be advanced more efficiently.

  It should be noted that the display / non-display of the toolbars 70 and 74 is preferably switched individually from a setting menu or the like. In this example, five icons 72a to 72e, 76a to 76e, and 77a to 77e are displayed on the toolbars 70 and 74, respectively, but the number of icons displayed by the extraction is not limited thereto. Any number described in the operation log or statistical information may be used.

  Furthermore, the number of icons displayed on the toolbars 70 and 74 may be arbitrarily set. For example, a priority is assigned to each icon in advance. After extracting each icon described in the operation log or statistical information, icons with higher priority are further extracted according to the number of settings. Thereby, only the set number of icons can be displayed on the toolbars 70 and 74. Also, only the number of icons to be displayed on each toolbar 70, 74 is set, and when icons exceeding the set number are extracted, the icons that have been clicked are erased, and the icons are scrolled. You may let them.

  In the above embodiment, icons are extracted based only on past information such as operation logs and statistical information. However, icons 62a extracted based on other information may be added to these. For example, as in the diagnosis support system 100 shown in FIG. 8, a regional information DB 104h is constructed in the storage unit 104 of the data center 102, and icons extracted based on the regional information stored in the regional information DB 104h are used as past information. You may make it add to each icon extracted based on. Note that the same functions and configurations as those of the above embodiment are denoted by the same reference numerals, and detailed description thereof is omitted.

  In the storage unit 104, a regional information DB 104h is constructed in addition to the databases shown in the above embodiment. The area information stored in the area information DB 140h is associated with, for example, information representing the name of the area, information on a disease spreading in the area, and information on an icon necessary for diagnosis of the disease. Has been recorded. For example, diseases caused by pollution and special viruses occur only in specific areas. The diagnosis support system 100 adds an icon extracted based on regional information, thereby more efficiently making a diagnosis for a disease that spreads only in a specific region.

  The data server 30 that receives the information request signal from the medical facility 12 and reads the medical information MI of the patient information, examination information, medical information, medical image, operation log, and statistical information is recorded in the patient information, for example. The regional information DB 104h is searched based on the current address and the like, and it is determined whether there is regional information corresponding to the region where the patient resides. The data server 30 that has determined that there is the relevant regional information adds the regional information to each of the medical information MI described above, and transmits it to the requesting medical facility 12.

  The CPU 40 of the client terminal 20 that has received the medical information MI displays the first toolbar 70 based on the operation log as described above, extracts icons 76a to 76e based on the statistical information, and then refers to the regional information. , Extract icons recorded in regional information. And the icon extracted based on area information is added to the icons 76a-76e extracted based on statistical information, and it displays as the 2nd toolbar 74. FIG. For example, when it is assumed that the patient A shown in the above embodiment resides in an area where asbestos damage prevails, the CPU 40 sets a preset image based on the area information at the end of the second toolbar 74 as shown in FIG. A process icon 76f is added.

  If patient A living in an area where asbestos damage is widespread complains of discomfort in the chest, there is a suspicion of malignant mesothelioma caused by asbestos. Therefore, the CPU 40 displays the preset image processing icon 76f based on the area information, and performs image processing significant for the diagnosis of malignant mesothelioma according to the click of the preset image processing icon 76f. At this time, a pop-up window may be displayed to notify the doctor that a disease specific to the area in which the user resides is seen.

  In the diagnosis support system 100 configured as described above, it is possible to appropriately perform diagnosis related to a region-specific disease. Further, when a disease caused by a special virus is reported from a certain medical facility 12, the information is reflected in the regional information DB 104h, so that the information can be quickly transmitted to each medical facility 12 in an adjacent region. .

  In this example, the icon 76f extracted based on the area information is added to the icons 76a to 76e extracted based on the statistical information. Of course, the icons 72a to 72e extracted based on the operation log are used. In addition to 72e, it may be displayed on the first toolbar 70. In this example, the icon 76f extracted based on the area information is added at the end of the operation order. However, the position to be added may be an arbitrary position. Furthermore, the toolbars 70 and 74 may be displayed as separate toolbars. Further, in this example, the icon information necessary for the diagnosis is recorded in the area information in advance, but the icon necessary for the CPU 40 may be determined based on the area information.

  Moreover, you may make it add the icon extracted based on patient information, medical treatment information, etc., without restricting to regional information, for example. For example, when the patient is a child, such as the patient B shown in the above embodiment, it is conceivable that a guardian is accompanied. In such a case, it is preferable to determine the age of the patient from the patient information and add a paper print icon 77f as shown in FIG. Thus, by displaying the paper print icon 77f and printing the explanatory material to the guardian in response to the click, it is possible to further increase the efficiency of diagnosis by the doctor.

  By the way, the accounting in the medical facility 12 is performed based on the so-called insurance score. Such insurance points can be increased, for example, simply by providing meal guidance. Therefore, an icon that provides an advantageous insurance score, such as displaying an icon that prompts the doctor to provide meal guidance based on patient information or medical information, may be added to each icon extracted based on past information.

  In each of the above embodiments, the extracted icons 62a are displayed as the toolbars 70 and 74 so as to be distinguished from the icon group 62, but the display method is not limited to this. For example, it may be distinguished from the icon group 62 by highlighting in the icon display area 61 such as changing the color of the extracted icon 62a. In addition, the state in which only the extracted icon 62a is displayed and the state in which the icon group 62 is displayed may be distinguished by switching the display in the icon display area 61.

  In each of the above-described embodiments, an example in which the present invention is applied to a diagnosis support system including a plurality of medical facilities and a data center has been described. However, the present invention is not limited to this, for example, in one medical facility. The present invention may be applied to a system including a plurality of client terminals and a data server installed in the network. Further, the present invention is not limited to the system, and the present invention may be applied when, for example, each medical information is read and displayed from an HDD provided in the client terminal.

It is explanatory drawing which shows the structure of a diagnostic system roughly. It is a block diagram which illustrates roughly the structure of a client terminal. It is explanatory drawing which shows an example of an operation screen. It is explanatory drawing which shows the file format of an operation log roughly. It is a flowchart which shows the operation | movement of a diagnosis assistance system roughly. It is explanatory drawing which shows an example of the operation screen when there exists an operation log and statistical information. It is explanatory drawing which shows an example of the operation screen at the time of only statistical information. It is explanatory drawing which shows the example which added regional information DB to the storage unit. It is explanatory drawing which shows an example of the operation screen which added the extraction result based on area information. It is explanatory drawing which shows an example of the operation screen which added the extraction result based on patient information.

Explanation of symbols

DESCRIPTION OF SYMBOLS 10 Diagnosis support system 12 Medical facility 14 Data center 16 Network 20 Client terminal (diagnosis support device)
30 data server 32 storage unit (storage means)
40 CPU (extraction means, display control means)
42 HDD
42a Diagnosis support program 43 Monitor 60 Operation screen 62 Icon group 62a Icon 70 First tool bar 74 Second tool bar

Claims (10)

In a diagnostic support method for supporting a diagnosis based on the medical image by displaying a medical image and an icon group including a plurality of icons on an operation screen and executing various processes according to the operation of each icon,
A reading step of reading out past information recording the icon operated in the past from a storage means;
An extraction step of extracting the icon recorded in the past information from the icon group;
A display step of displaying the extracted icon separately from the icon group by displaying a toolbar on which the extracted icons are arranged on the operation screen separately from the icon group ,
In the past information, there are an operation log that records the operation of the icon for each diagnosis of each patient, and statistical information that records a statistical operation of the icons of a plurality of doctors,
The display step displays at least one of the icon extracted based on the operation log and the icon extracted based on the statistical information when the operation log is included in the past information. A diagnostic support method , wherein only the icon extracted based on the statistical information is displayed when the operation log is not included in the past information . In the past information, the icon operated in the past and the operation order are associated and recorded,
2. The diagnosis support method according to claim 1, further comprising a permutation step of arranging the extracted icons in accordance with the operation order between the extraction step and the display step. 3. The diagnosis support method according to claim 2, wherein when any of the extracted icon or the icon included in the icon group is operated, the operation is recorded as a new operation log. The extracting step has a step of adding the icon extracted based on regional information recording information of a disease spreading in a specific region to the icon extracted based on the past information. The diagnosis support method according to any one of claims 1 to 3 . The extraction step, the the icon extracted based on past information, claims 1, characterized in that it comprises the step of adding the icon that is extracted based on the patient information representing the personal information of each patient 4 The diagnosis support method according to any one of the above. If the icon extracted in the extraction step includes a remote interpretation request icon for requesting interpretation of the medical image to another medical facility, has the interpretation been requested in the past? It determines whether, diagnosis support method according to any one of claims 1 5, characterized in that the display emphasizes the remote interpretation request icon when it is determined that there have previously requested. In a diagnosis support apparatus that displays a medical image and an icon group including a plurality of icons on an operation screen and performs various processes according to the operation of each icon, thereby supporting diagnosis based on the medical image.
Extraction means for extracting the icon recorded in the past information from the icon group based on past information recording the icon operated in the past;
Display control means for displaying the extracted icons on the operation screen by distinguishing the extracted icons from the icon group by displaying the extracted toolbar on the operation screen separately from the icon group ;
In the past information, there are an operation log that records the operation of the icon for each diagnosis of each patient, and statistical information that records a statistical operation of the icons of a plurality of doctors,
The display control means displays at least one of the icon extracted based on the operation log and the icon extracted based on the statistical information when the operation log is included in the past information. And when the said operation log is not included in the said past information, only the said icon extracted based on the said statistical information is displayed, The diagnostic assistance apparatus characterized by the above-mentioned . Storage means for storing the past information;
8. The diagnosis support apparatus according to claim 7 , wherein the extraction unit reads the past information from the storage unit and extracts the icon. A medical facility provided with a client terminal and a data center connected to the medical facility via a network, displaying a medical image and an icon group including a plurality of icons on the operation screen of the client terminal, In a diagnosis support system that supports diagnosis based on the medical image by executing various processes according to the operation of each icon,
The data center is provided with storage means for storing past information in which the icon operated in the past is recorded,
The client terminal reads out the past information from the storage means and extracts the icon recorded in the past information from the icon group; and a toolbar in which the extracted icons are arranged as the icon group. And a display control means for displaying the extracted icon on the operation screen by distinguishing it from the icon group by displaying it on the operation screen .
In the past information, there are an operation log that records the operation of the icon for each diagnosis of each patient, and statistical information that records a statistical operation of the icons of a plurality of doctors,
The display control means displays at least one of the icon extracted based on the operation log and the icon extracted based on the statistical information when the operation log is included in the past information. And when the said operation log is not included in the said past information, only the said icon extracted based on the said statistical information is displayed, The diagnostic assistance system characterized by the above-mentioned . Diagnosis based on the medical image by causing the computer to perform a step of displaying a medical image and an icon group including a plurality of icons on the operation screen and a step of executing various processes in accordance with the operation of each icon. In the diagnostic support program that supports
A reading step of reading out past information recording the icon operated in the past from a storage means;
An extraction step of extracting the icon recorded in the past information from the icon group;
A display step of displaying the extracted icon separately from the icon group by displaying a toolbar on which the extracted icons are arranged on the operation screen separately from the icon group ,
In the past information, there are an operation log that records the operation of the icon for each diagnosis of each patient, and statistical information that records a statistical operation of the icons of a plurality of doctors,
The display step displays at least one of the icon extracted based on the operation log and the icon extracted based on the statistical information when the operation log is included in the past information. A diagnosis support program that displays only the icon extracted based on the statistical information when the operation log is not included in the past information .