Medical information processing device, medical information processing system, medical information processing method, and medical information processing program

Abstract

To support responses to risks that arise during the performance of medical procedures in healthcare settings. [Solution] The medical information processing device according to the embodiment comprises an acquisition unit, a determination unit, a selection unit, and a presentation unit. The acquisition unit acquires on-site information relating to multiple medical sites where medical procedures are being performed. The determination unit determines the risk status of each of the multiple medical sites based on the on-site information. The selection unit selects countermeasures for medical sites requiring action based on the determination results of the risk status. The presentation unit presents the countermeasures.

Description

Technical Field

[0001] The embodiments disclosed in this specification and the drawings relate to a medical information processing device, a medical information processing system, a medical information processing method, and a medical information processing program.

Background Art

[0002] Conventionally, when medical procedures are performed simultaneously at multiple medical sites such as an operating room, a catheterization room (hereinafter also referred to as a "catheter room"), and an examination room, veteran doctors in a separate room such as a doctor's office or a strategy room monitor and give instructions to each medical site. When performing a difficult procedure or when an inexperienced doctor is in charge, the veteran doctor determines that the risk at that medical site is high and communicates with that medical site using an incam or video distribution to monitor the situation and give instructions. At this time, additional personnel for risk reduction may be dispatched from the doctor's office to the medical site. Also, when receiving a call from a medical site where the risk has increased, the veteran doctor may also monitor the medical procedure and give instructions to the medical staff.

[0003] With such a risk management method, it is possible to monitor a medical site where the risk is known in advance to be high, but it is difficult to quickly grasp that the risk has increased during the execution of a medical procedure. Also, when the medical staff at the medical site where the risk has occurred responds by calling the doctor's office, it is difficult for the medical staff at the medical site to correctly detect the risk and quickly determine the need for help and make a call. Therefore, it is difficult to take proactive measures against risks that change moment by moment.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] One of the problems that the embodiments disclosed herein and in the drawings aim to solve is to support responses to risks that arise during the performance of medical procedures in a medical setting. However, the problems that the embodiments disclosed herein and in the drawings aim to solve are not limited to the above problem. Problems corresponding to the effects of each configuration shown in the embodiments described later can also be positioned as other problems. [Means for solving the problem]

[0006] The medical information processing device according to this embodiment comprises an acquisition unit, a determination unit, a selection unit, and a presentation unit. The acquisition unit acquires on-site information relating to multiple medical sites where medical procedures are being performed. The determination unit determines the risk status of each of the multiple medical sites based on the on-site information. The selection unit selects proposed countermeasures for medical sites requiring action based on the determination results of the risk status. The presentation unit presents the proposed countermeasures. [Brief explanation of the drawing]

[0007] [Figure 1] Figure 1 shows an example of the configuration of a medical information processing system according to the first embodiment. [Figure 2] Figure 2 shows an example of the configuration of a medical information processing device according to the first embodiment. [Figure 3] Figure 3 is a flowchart illustrating the procedure for risk detection processing using the medical information processing system according to the first embodiment. [Figure 4] Figure 4 shows an example of a management screen displayed by the medical information processing system according to the first embodiment. [Figure 5] Figure 5 shows an example of how physician skill information is displayed in the management screen shown in Figure 4. [Figure 6] Figure 6 shows an example of the configuration of a medical information processing device according to the second embodiment. [Figure 7] Figure 7 is a flowchart illustrating the procedure for risk detection processing using the medical information processing system according to the second embodiment. [Figure 8]Figure 8 shows an example of a risk level determination rule used in the risk detection process according to the second embodiment. [Figure 9] Figure 9 shows an example of a risk reduction rule used in the risk detection process according to the second embodiment. [Figure 10] Figure 10 shows an example of skill information used in the risk detection process according to the second embodiment. [Figure 11] Figure 11 shows an example of a management screen displayed by the medical information processing system according to the second embodiment. [Figure 12] Figure 12 shows an example of a management screen displayed by a medical information processing system according to a modified version of the second embodiment. [Figure 13] Figure 13 is a flowchart illustrating the procedure for risk detection processing using the medical information processing system according to the third embodiment. [Figure 14] Figure 14 shows an example of a risk level determination rule used in the risk detection process according to the third embodiment. [Figure 15] Figure 15 shows an example of a risk reduction rule used in the risk detection process according to the third embodiment. [Figure 16] Figure 16 shows an example of skill information used in the risk detection process according to the third embodiment. [Figure 17] Figure 17 shows an example of a management screen displayed by the medical information processing system according to the third embodiment. [Modes for carrying out the invention]

[0008] Hereinafter, embodiments of the medical information processing device, medical information processing system, medical information processing method, and medical information processing program will be described in detail with reference to the drawings. In the following description, components having substantially the same function and configuration will be denoted by the same reference numeral, and redundant explanations will be given only when necessary.

[0009] (First Embodiment) FIG. 1 is a diagram showing the configuration of a medical information processing system 1. The medical information processing system 1 is a system that supports risk management during the execution of medical procedures by detecting the occurrence of risks at each medical site when medical procedures are being simultaneously performed at multiple medical sites, and presenting countermeasures for the medical site where a risk has been detected to the user.

[0010] Medical procedures include, for example, surgeries, examinations, procedures using catheters, etc. Procedures using catheters include, for example, PCI (Percutaneous Coronary Intervention). A medical site is a location where a medical procedure is performed, such as an operating room, examination room, catheter room, etc. Countermeasures include, for example, dispatching medical staff to the medical site and instructing the use of devices. The user is, for example, a veteran doctor who monitors medical procedures at multiple medical sites in a doctor's office or a strategy room.

[0011] Hereinafter, mainly, in a medical facility having multiple operating rooms and catheter rooms, the case where a veteran doctor in a doctor's office monitors medical procedures being simultaneously performed at each medical site will be described as an example.

[0012] The medical information processing system 1 includes a medical information processing device 10, a medical information database 40, a staff information database 50, and a sensor 30. The medical information processing device 10 is connected to the sensor 30, the medical information database 40, and the staff information database 50 via a network 20. The medical information processing device 10, the sensor 30, the medical information database 40, and the staff information database 50 can transmit and receive various information via the network 20. Note that various data handled in this specification are typically digital data.

[0013] The network 20 is, for example, a LAN (Local Area Network). Note that the connection to the network 20 can be either a wired connection or a wireless connection. Also, if security can be ensured by a VPN (Virtual Private Network) or the like, the connected line is not limited to a LAN. It may be connected to a public communication line such as the Internet.

[0014] The sensor 30 is a sensor installed at each medical site to detect information related to medical procedures. The sensor 30 includes, for example, a position sensor attached to a medical device such as a guide wire and a camera installed at the medical site. The detection result by the sensor 30 is transmitted to the medical information database 40 and the medical information processing device 10.

[0015] The medical information database 40 is a database that stores medical information. The medical information includes on-site information regarding the execution status of medical procedures at the medical site. The on-site information includes, for example, the execution time of the medical procedure, sensor information obtained from the sensor 30, and data transmitted from various devices at the medical site. The execution time of the medical procedure is, for example, the treatment time of catheter treatment. The sensor information includes, for example, the position information of the medical device. The data transmitted from various devices at the medical site includes, for example, medical images taken by a medical imaging device and the analysis results of the medical images.

[0016] The staff information database 50 is a database that stores staff information. The staff information is information regarding medical staff. The medical staff are, for example, medical practitioners such as doctors and technicians. The staff information includes, for example, the schedule information, position information, skill information, etc. of the medical staff.

[0017] Schedule information is information about the schedules of medical staff. Schedule information includes, for example, each medical staff member's work schedule and scheduled medical procedures such as surgeries. Location information is information about the current location of medical staff. Location information is acquired, for example, based on signals transmitted from transmitters worn by medical staff and is updated as needed. The location information of each medical staff member may also be acquired by analyzing images captured by cameras installed as sensors 30 at each medical site. Skill information is information about the skills of medical staff. Skill information includes, for example, the medical staff member's age, background, and number of medical procedures performed. The number of medical procedures performed includes, for example, the number of surgeries and procedures performed, academic certifications, and experience using medical devices.

[0018] The medical information processing device 10 is installed in a control room where an administrator manages medical procedures. The administrator monitors medical procedures being performed at multiple medical sites and communicates with each medical site to manage the progress of the medical procedures. The administrator is, for example, a veteran physician. The control room is, for example, a medical office or a strategy room. The medical information processing device 10 constantly receives on-site information obtained from the medical information database 40 and staff information obtained from the staff information database 50 during the execution of medical procedures. Using the received on-site and staff information, it determines the risk status of each medical site and presents proposed countermeasures for medical sites requiring attention to users such as the administrator.

[0019] Next, the configuration of the medical information processing device 10 will be described. Figure 2 shows an example of the configuration of the medical information processing device 10. The medical information processing device 10 includes a memory 11, a communication interface 12, a display 13, an input interface 14, and a processing circuit 15. In the following description, the medical information processing device 10 will be described as a single device that performs multiple functions, but the multiple functions may be performed by separate devices. For example, each function performed by the medical information processing device 10 may be distributed and installed on different console devices or workstation devices.

[0020] Memory 11 is a storage device such as an HDD (Hard Disk Drive), SSD (Solid State Drive), or integrated circuit that stores various types of information. Memory 11 may also be a portable storage medium other than an HDD or SSD, such as a CD (Compact Disc), DVD (Digital Versatile Disc), or flash memory. Furthermore, memory 11 may be a drive device that reads and writes various types of information to and from semiconductor memory elements such as flash memory or RAM (Random Access Memory). The storage area of ​​memory 11 may be located within the medical information processing device 10, or it may be located in an external storage device connected via a network.

[0021] Memory 11 stores programs executed by the processing circuit 15, various data used in the processing of the processing circuit 15, and so on. For example, the program used is one that is pre-installed on the computer from a network or a non-transient computer-readable storage medium, and that enables the computer to implement each function of the processing circuit 15. Memory 11 is an example of a storage unit.

[0022] The communication interface 12 is a network interface that transmits and controls communication with the medical information database 40, the staff information database 50, the sensor 30, and other external devices via the network 20.

[0023] Display 13 displays various types of information. For example, display 13 outputs medical information generated by the processing circuit 15, and a GUI (Graphical User Interface) for receiving various operations from the operator. For example, display 13 is a liquid crystal display or a CRT (Cathode Ray Tube) display. Display 13 is an example of a display unit.

[0024] The input interface 14 receives various input operations from the operator, converts the received input operations into electrical signals, and outputs them to the processing circuit 15. For example, the input interface 14 receives input of medical information, various command signals, etc., from the operator. The input interface 14 is realized by a mouse, keyboard, trackball, switch buttons, a touchscreen integrating a display screen and touchpad, a non-contact input circuit using an optical sensor, and an audio input circuit, etc., for performing various processes of the processing circuit 15. The input interface 14 is connected to the processing circuit 15 and converts the input operations received from the operator into electrical signals and outputs them to the control circuit. In this specification, the input interface is not limited to those equipped with physical operating components such as a mouse or keyboard. For example, an electrical signal processing circuit that receives electrical signals corresponding to input operations from an external input device provided separately from the device and outputs these electrical signals to the processing circuit 15 is also included as an example of an input interface. The input interface 14 is an example of an input unit.

[0025] The processing circuit 15 controls the operation of the entire medical information processing device 10. The processing circuit 15 is a processor that performs acquisition function 151, judgment function 152, selection function 153, and presentation function 154 by calling and executing programs in memory 11.

[0026] In Figure 2, the acquisition function 151, judgment function 152, selection function 153, and presentation function 154 are described as being realized by a single processing circuit 15. However, it is also possible to configure a processing circuit by combining multiple independent processors, and each processor executes a program to realize each function. Furthermore, the acquisition function 151, judgment function 152, selection function 153, and presentation function 154 may each be implemented as separate hardware circuits. The above description of each function performed by the processing circuit 15 is the same in the following embodiments and modifications.

[0027] Furthermore, although the medical information processing device 10 is described as performing multiple functions on a single console, it is also acceptable for multiple functions to be performed by separate devices. For example, the functions of the processing circuit 15 may be distributed and installed on different devices.

[0028] In the above description, the term "processor" refers to circuits such as a CPU (central processing unit), a GPU (Graphics Processing Unit), an Application Specific Integrated Circuit (ASIC), a programmable logic device (e.g., a Simple Programmable Logic Device (SPLD)), a Complex Programmable Logic Device (CPLD), and a Field Programmable Gate Array (FPGA)). When the processor is a CPU, for example, it performs its functions by reading and executing a program stored in a memory circuit. On the other hand, when the processor is an ASIC, for example, instead of the program being stored in a memory circuit, the function is directly incorporated into the processor's circuit as a logic circuit. In this embodiment, each processor is not limited to being configured as a single circuit; multiple independent circuits may be combined to form a single processor and perform its functions. Furthermore, multiple components may be integrated into a single processor to perform its functions. The above description of "processor" is the same in the following embodiments and modifications.

[0029] The processing circuit 15 acquires on-site information from multiple medical sites where medical procedures are being performed, using the acquisition function 151. For example, in the acquisition function 151, the processing circuit 15 acquires sensor information transmitted from sensor 30, pathway information transmitted from medical information database 40, and staff information transmitted from staff information database 50 as on-site information. For example, the processing circuit 15 acquires analysis results of medical images acquired during the performance of medical procedures, location information acquired from sensors attached to medical devices, and skill information of medical staff. The processing circuit 15 that realizes the acquisition function 151 is an example of an acquisition unit.

[0030] The processing circuit 15, using the judgment function 152, determines the risk status of each medical site based on on-site information, and determines whether action is necessary for each medical site based on the risk status. In other words, the processing circuit 15 detects or predicts risks in each medical site using the judgment function 152. The risk status is the state of the medical site regarding the occurrence of a risk. The processing circuit 15 that implements the judgment function 152 is an example of a judgment unit. In the judgment function 152, the processing circuit 15 determines the risk level of each medical site based on a predetermined risk level judgment rule. The risk level is the degree of possibility of a risk occurring, and is an example of a risk status. The risk level may also be called the degree of risk. The risk status may be classified into multiple stages, or it may be a numerical value indicating the possibility of a risk occurring. The risk level judgment rule is, for example, a correspondence table that associates the situation of the medical site with the risk level. The correspondence table is, for example, pre-recorded in memory 11. Risks are medical risks that may occur during surgery or examination, such as increased radiation exposure for medical staff, blood clot dislodgement, vascular perforation, allergic reactions, and sudden changes in the patient's condition. Risk levels are determined for each type of risk. Risk levels may also be determined using a machine learning model trained to accept on-site information input and output risk levels.

[0031] The processing circuit 15, using the selection function 153, selects proposed countermeasures for medical sites requiring action based on the risk status determination results. The processing circuit 15 that implements the selection function 153 is an example of a selection unit. Proposed countermeasures include, for example, the dispatch of medical staff or the use of devices. Proposed countermeasures may include only one of the two, or both. Furthermore, proposed countermeasures may include individual responses to multiple medical sites. Proposed countermeasures may also be called countermeasures, candidate countermeasures, or risk reduction measures. The processing circuit 15 that implements the selection function 153 is an example of a selection unit.

[0032] Furthermore, the processing circuit 15 identifies available personnel through the selection function 153. Available personnel are medical staff who can be dispatched as additional personnel to the medical site where a risk has been detected. For example, available personnel may include medical staff with available schedules or doctors who possess the necessary skills to mitigate the risk. Available personnel may also be called dispatchable staff. Doctors who possess the necessary skills to mitigate the risk may be selected as available personnel even if they are working at another medical site.

[0033] The processing circuit 15 presents the selected countermeasures to the user via the presentation function 154. For example, in the presentation function 154, the processing circuit 15 displays the dispatch of medical staff or the use of medical devices as countermeasures on the management screen of the display 13. When presenting the dispatch of medical staff, for example, information on available personnel is presented. Available personnel are medical staff who can be dispatched. Information on available personnel includes, for example, the name, current location, and skills of the available personnel. The processing circuit 15 that implements the presentation function 154 is an example of a presentation unit. When countermeasures are displayed on the display, the presentation function 154 may also be called a display control function.

[0034] The proposed solutions may also be presented to the user via voice, or they may be displayed on the display of an external device connected to the medical information processing device 10.

[0035] (Risk detection processing) Next, a medical information processing method using the medical information processing system 1 will be described. Figure 4 is a flowchart showing an example of the risk detection processing procedure. Note that the procedure described below is merely an example, and each procedure can be modified as appropriate as possible. Furthermore, depending on the embodiment, steps in the procedure described below can be omitted, replaced, or added as appropriate.

[0036] The risk detection process is initiated when medical procedures are being performed at multiple medical facilities. Once the risk detection process starts, the processing circuit 15 displays a management screen on the display 13.

[0037] Figure 4 shows an example of a management screen displayed on the display 13 of a medical information processing device 10 installed in a doctor's office. Here, we will explain the case where surgeries and examinations are being performed simultaneously in "Operating Room 1," "Operating Room 2," "Operating Room 3," "Catheterization Room 1," and "Catheterization Room 2." Hereafter, "Catheterization Room" is an abbreviation for "Catheterization Room." The medical information processing device 10 monitors "Operating Room 1," "Operating Room 2," "Operating Room 3," "Catheterization Room 1," and "Catheterization Room 2" as monitored medical sites, and detects risks and presents countermeasures. Administrators such as veteran doctors can check the management screen to understand the risk status in medical sites where surgeries and catheter treatments are being performed. In the example in Figure 4, the management screen is equipped with a detection result display unit 131, a risk content display unit 132, and a dispatched personnel display unit 133. The detection result display unit 131 shows whether or not a risk has been detected in each medical site. The risk content display unit 132 shows the content of the detected risk. The dispatch personnel display unit 133 displays proposed countermeasures to mitigate the detected risks.

[0038] Here, we assume that a Percutaneous Coronary Intervention (PCI) procedure is being performed in "Catheterization Room 1". PCI is a treatment method for angina pectoris and myocardial infarction caused by narrowing of the coronary arteries, using balloons or stents to widen the narrowed areas. PCI is less burdensome than open chest surgery because the catheter can be inserted through a blood vessel in the wrist or groin. In PCI, complications such as vascular perforation and the displaced blood clot blocking other areas can rarely occur.

[0039] During PCI, the duration of the procedure and the radiation exposure time are constantly measured and transmitted to the medical information database 40. In addition, intraoperative images of PCI are constantly analyzed, and the analysis results, such as the status of vascular occlusion (CTO), are constantly transmitted to the medical information database 40 and registered in the medical information database 40. Furthermore, a sensor 30 for detecting the tip of the catheter (guidewire) used in PCI is installed in the catheterization lab, and the coordinates of the detected catheter (guidewire) tip are constantly transmitted to the medical information database 40 and registered in the medical information database 40.

[0040] (Step S101) During the execution of medical procedures, the processing circuit 15 continuously acquires on-site information using the acquisition function 151. This on-site information includes the position information of the guidewire acquired from the sensor 30, the analysis results of vascular images and the elapsed time of radiation therapy acquired from the medical information database 40, and the skill information of the attending physician acquired from the staff information database 50.

[0041] (Step S102) Next, the processing circuit 15 uses the judgment function 152 to determine the risk level of each medical site under surveillance, using the risk level determination rule read from the memory 11 and the acquired site information.

[0042] (Step S103) Next, the processing circuit 15 uses the judgment function 152 to determine whether action is necessary for each medical site based on the risk level. For example, the processing circuit 15 determines that countermeasures are needed for medical sites where the risk level is above a predetermined value. If there are no medical sites that require action (step S103-No), the process returns to step S101 and continues monitoring the risk status of the medical sites under surveillance. On the other hand, if there are medical sites that require action (step S103-Yes), the process proceeds to step S104. As an example, the following describes a case where the radiation exposure of medical staff in "Cath Lab 1" exceeds a predetermined value, which is detected as a risk, and it is determined that action is needed in "Cath Lab 1" to reduce the risk of increased radiation exposure.

[0043] (Step S104) The processing circuit 15, using the selection function 153, selects a countermeasure to reduce the risk in "Cath Laboratory 1" based on the type of risk detected. In this case, the processing circuit 15 selects to dispatch an additional physician to "Cath Laboratory 1" as a countermeasure to reduce the risk of increased radiation exposure.

[0044] (Step S105) Next, the processing circuit 15 uses the selection function 153 to identify available personnel based on the location and schedule information of each medical staff member obtained from the staff information database 50. Available personnel are medical staff members who do not have any scheduled appointments from the current time until a predetermined time.

[0045] (Step S106) Next, the processing circuit 15 displays the available personnel on the management screen of the display 13 as a countermeasure. On the management screen, as shown in Figure 4, the detection result display unit 131 displays an icon indicating that a risk has been detected in "Cath lab 1", the risk content display unit 132 displays the text that the detected risk is "increased radiation exposure", and the dispatched personnel display unit 133 displays "Doctor A" and "Doctor B" as available personnel. In addition, in Figure 4, in addition to the names of "Doctor A" and "Doctor B" identified as available personnel, the current location of the available personnel is displayed as "Medical office".

[0046] A veteran physician can check the management screen shown in Figure 4 to understand that the radiation exposure of the technician in "Cath Lab 1" has increased, and that the risk can be reduced by sending either "Physician A" or "Physician B" from the medical office to "Cath Lab 1".

[0047] Furthermore, if it is determined that action is necessary in a medical setting, in addition to displaying information on the management screen, voice prompts may be used to encourage action.

[0048] The effects of the medical information processing system 1 and medical information processing device 10 according to this embodiment will be described below.

[0049] The medical information processing system 1 according to this embodiment includes a medical information processing device 10. The medical information processing device 10 can acquire on-site information regarding multiple medical sites where medical procedures are being performed, determine the risk status of each of the multiple medical sites based on the on-site information, select countermeasures for medical sites that require attention, and present the selected countermeasures.

[0050] For example, if a risk arises in "Catheterization Room 1" that requires action, such as an increase in the radiation exposure of medical staff, the system can display the names and skill information of available personnel as a countermeasure, as shown in Figure 4. Experienced physicians and other users can check this display to identify medical staff who can be dispatched to reduce the risk. This allows for early detection of increased risk and prompt response, even if the risk rises during the execution of a medical procedure.

[0051] (Second embodiment) A second embodiment will now be described. This embodiment is a modification of the configuration of the first embodiment as follows. The same configuration, operation, and effects as in the first embodiment will not be described. In this embodiment, in addition to the proposed countermeasures, the degree of risk reduction when the mitigation measures are implemented is displayed.

[0052] Figure 6 shows an example of the configuration of the medical information processing device 10. In this embodiment, the processing circuit 15 further performs the prediction function 155.

[0053] The processing circuit 15 predicts the change in the risk state when the selected countermeasures are implemented, using the prediction function 155. For example, in the prediction function 155, the processing circuit 15 predicts the risk state after each countermeasure is implemented to reduce the detected risk. In the prediction function 155, the processing circuit 15 predicts the degree of risk reduction by each countermeasure based on a predetermined risk reduction rule. The risk reduction rule is, for example, a correspondence table that associates the relationship between countermeasures and the reduction value of the risk level. The correspondence table is, for example, pre-recorded in the memory 11. The processing circuit 15 that realizes the prediction function 155 is an example of a prediction unit.

[0054] The processing circuit 15, through its presentation function 154, presents the predicted results of changes in the risk state. For example, in the presentation function 154, the processing circuit 15 presents not only proposed countermeasures but also the degree of risk reduction if the countermeasures are implemented, as well as the risk level after the countermeasures are implemented.

[0055] (Risk detection processing) Next, the operation of the risk detection process performed by the medical information processing system 1 according to this embodiment will be described. Figure 7 is a flowchart showing an example of the procedure for the risk detection process.

[0056] Here, we assume that physician Z is performing PCI (Percutaneous Coronary Intervention) in "Catheterization Room 2". We will also explain how to predict changes in risk status using the information shown in Figures 8-10. Figure 8 is an example of a risk level determination rule. Figure 9 is an example of a risk reduction rule. Figure 10 is an example of medical staff skill information. Each piece of information shown in Figures 8-10 is pre-stored in, for example, memory 11. Furthermore, if the risk level is 4 or higher, it will be determined that action is required.

[0057] If "complete occlusion" is detected as a result of the analysis of the images acquired from "Cath Lab 2" (Step S201), the processing circuit 15 determines that the risk level of "vascular perforation" in "Cath Lab 2" is "4" using the risk level determination rule in Figure 8, since physician Z has less than 100 PCI experiences and "complete occlusion" was detected (Step S202). Next, based on the change in the risk level of "Cath Lab 2" to "4", the processing circuit 15 determines that measures to reduce the risk are necessary for "Cath Lab 2" (Step S203-Yes). Subsequently, the processing circuit 15 uses the risk reduction rule in Figure 9 to select "dispatching a physician with 101 to 500 PCI experiences" and "dispatching a physician with 501 or more PCI experiences" as countermeasures against "vascular perforation" (Step S204). The processing circuit 15 also identifies personnel who can provide assistance using the location information of medical staff and the skill information in Figure 10 (Step S205). In this case, physician A, whose current location is the medical office and who has performed PCI procedures between 101 and 500 times, and physician B, whose current location is the medical office and who has performed PCI procedures 501 times or more, are identified as personnel who can provide assistance.

[0058] Next, the processing circuit 15 uses the prediction function 155 to predict the risk level when the countermeasure is implemented using the risk reduction rules (step S206). Here, the processing circuit 15 uses the risk reduction rules in Figure 9 to predict that the risk reduction level will change from "4" to "3" if the countermeasure to dispatch physician A, who has PCI experience ranging from 101 to 500 cases, is "-1". Also, the processing circuit 15 predicts that the risk reduction level will change from "4" to "2" if the countermeasure to dispatch physician B, who has PCI experience ranging from 501 cases to more than 501 cases, is "-2".

[0059] Next, the processing circuit 15 displays the risk level after the countermeasures have been implemented on the management screen of the display 13 using the presentation function 154 (step S207). Figure 11 shows an example of the management screen. For example, as shown in Figure 11, the detection result display unit 131 displays an icon indicating that a risk has been detected in "Catheterization Room 2", the risk content display unit 132 displays that the detected risk is "vascular perforation", and the dispatch personnel display unit 133 displays "Doctor A" and "Doctor B" as personnel who can help. In addition, the countermeasure display unit 134 is displayed on the management screen shown in Figure 11. The countermeasure display unit 134 displays the content of the countermeasure, the degree of risk reduction if the countermeasure is implemented, and the predicted risk level if the countermeasure is implemented for each selected countermeasure.

[0060] A veteran physician in the medical department can see from the management screen in Figure 11 that the risk of vascular perforation in "Catheterization Room 2" has risen to risk level "4". Furthermore, the veteran physician can see that the risk level will decrease to "3" with the proposed solution of dispatching "Physician A", and will decrease to "2" with the proposed solution of dispatching "Physician B".

[0061] The effects of the medical information processing system 1 and medical information processing device 10 according to this embodiment will be described below.

[0062] The medical information processing device 10 according to this embodiment can predict changes in the risk state resulting from the implementation of selected countermeasures and present the prediction results. By reviewing the presentation, administrators such as veteran physicians can easily understand to what extent each countermeasure can reduce the risk, even when there are multiple countermeasures with different levels of risk reduction. Furthermore, by reviewing the presentation, administrators such as veteran physicians can easily determine which room to send whom to, even when risks are occurring in multiple rooms.

[0063] Figure 12 shows a modified version of the management screen. As shown in Figure 12, the proposed countermeasures may be a combination of multiple measures, such as dispatching doctors or using medical devices.

[0064] (Third embodiment) A third embodiment will now be described. This embodiment is a modification of the configuration of the second embodiment as follows. The same configuration, operation, and effects as in the second embodiment will not be explained. In this embodiment, a recommended solution will be presented from among several proposed solutions.

[0065] The processing circuit 15, using its prediction function 155, determines which medical facility to dispatch available resources to in response to risks occurring in multiple medical facilities. Specifically, when risks are detected in multiple medical facilities, the processing circuit 15 selects countermeasures for each facility to avoid duplication of resources such as medical staff and medical devices. The processing circuit 15 also uses its prediction function 155 to determine the recommended order of the multiple countermeasures. For example, the processing circuit 15 sets a higher recommendation order for countermeasures that reduce the total or maximum risk level of each medical facility after the countermeasures are implemented. The recommendation order may also be called the degree of recommendation, effectiveness, or priority.

[0066] The processing circuit 15, using the presentation function 154, presents proposed solutions in order of recommendation.

[0067] (Risk detection processing) Next, the operation of the risk detection process performed by the medical information processing system 1 according to this embodiment will be described. Figure 13 is a flowchart showing an example of the procedure for the risk detection process.

[0068] Here, we assume that PCI (Percutaneous Coronary Intervention) is being performed in "Cath Lab 1" and "Cath Lab 2". We will also explain how to predict changes in risk status using the information shown in Figures 14-16. Figure 14 is an example of a risk level determination rule. Figure 15 is an example of a risk reduction rule. Figure 16 is an example of medical staff skill information. Each piece of information shown in Figures 14-16 is pre-stored in, for example, memory 11. Furthermore, if the risk level is 4 or higher, it will be determined that action is required.

[0069] Based on the analysis of data acquired from the sensor 30 attached to the catheter (guidewire) in "Catheterization Room 2," if it is detected that "the catheter (guidewire) tip position does not pass through the CTO site for a certain period of time or longer," and that "penetration of the complete occlusion site is proving difficult" (step S301), the processing circuit 15 determines that the risk level of "vascular perforation" in "Catheterization Room 2" is "4" using the risk level determination rule in Figure 14, based on the fact that physician Z has less than 100 PCI experiences (step S302). Furthermore, if the analysis of the thrombus characteristics of the image acquired from "Catheterization Room 1" detects a risk of "high possibility of thrombus dispersal" (step S301), the processing circuit 15 determines that the risk level of "thrombus dispersal" in "Catheterization Room 2" is "5" using the risk level determination rule in Figure 14 (step S302).

[0070] Next, the processing circuit 15 determines that risk reduction measures are necessary for both "Catheterization Room 1" and "Catheterization Room 2" based on the fact that the risk level of "Catheterization Room 2" has changed to "4" and the risk level of "Catheterization Room 1" has changed to "5" (Step S303-Yes). Subsequently, using the risk reduction rules in Figure 15, the processing circuit 15 selects "dispatching a physician with 101 to 500 PCI experiences" and "dispatching a physician with 501 or more PCI experiences" as candidate countermeasures against "vascular perforation" in "Catheterization Room 2" (Step S304). Furthermore, using the risk reduction rules in Figure 15, the processing circuit 15 selects "using a thrombus retrieval device" and "dispatching a physician with 501 or more PCI experiences" as candidate countermeasures against "thrombus dispersion" in "Catheterization Room 1" (Step S304).

[0071] Next, the processing circuit 15 identifies personnel who can provide assistance using the location information of the medical staff and the skill information in Figure 16 (step S305). At this time, physician B, whose current location is the doctor's office and who has "501 or more PCI experience cases," is identified as a person who can provide assistance. In this case, physician A is not selected as a person who can provide assistance because his current location is not the doctor's office.

[0072] Next, the processing circuit 15 uses the prediction function 155 to predict the change in the risk state when the countermeasures are implemented, using risk reduction rules (step S306). Here, the processing circuit 15 selects countermeasures that combine responses for "Cath Lab 2" and responses for "Cath Lab 1," and predicts the change in the risk state for each countermeasure. At this time, combinations are selected so that the personnel to be dispatched do not overlap. For example, a combination that dispatches Doctor B to both "Cath Lab 1" and "Cath Lab 2" will not be generated. Also, when generating combinations, multiple countermeasures may be adopted for a single medical site, and medical sites for which no countermeasures are adopted may be included.

[0073] Next, the processing circuit 15 determines the recommended order of the generated countermeasures using the prediction function 155 (step S307). At this time, the processing circuit 15 predicts the total risk level after the countermeasure for each generated combination and determines the recommended order in descending order of total value. For example, in the example in Figures 14-16, in "Countermeasure 1," where the thrombectomy device is used in "Cath Lab 1" and physician B is dispatched to "Cath Lab 2," the risk levels of both "Cath Lab 1" and "Cath Lab 2" change to "2," so the total risk level after the countermeasure is predicted to be "4." Also, in "Countermeasure 2," where the thrombectomy device is used in "Cath Lab 1" and physician B is also dispatched to "Cath Lab 1," the risk level of "Cath Lab 1" changes to "1," and the risk level of "Cath Lab 2" does not change, so the total risk level after the countermeasure is predicted to be "5." Furthermore, in other countermeasures, the total risk level after the countermeasure is assumed to be "6" or higher. In this case, "Proposed Solution 1" is selected as the most recommended solution, and "Proposed Solution 2" is selected as the second most recommended solution.

[0074] If the total risk level after countermeasures is the same, the option with the lowest maximum risk level will be recommended higher. If Doctor A is available, Countermeasure 3 can be implemented, which involves using a thrombectomy device in Catheterization Room 1, sending Doctor B to Catheterization Room 1, and sending Doctor A to Catheterization Room 2. In Countermeasure 3, the risk level of Catheterization Room 1 changes to 1, and the risk level of Catheterization Room 2 changes to 3, so the total risk level after countermeasures becomes 4, which is the same as the total risk level of Countermeasure 1. In this case, the highest risk level in Countermeasure 1 is 2 for both Catheterization Room 1 and Catheterization Room 2, and the highest risk level in Countermeasure 3 is 3 for Catheterization Room 2, so Countermeasure 1 will be recommended higher than Countermeasure 3.

[0075] Next, the processing circuit 15 displays the predicted risk reduction level and the changed risk level on the management screen of the display 13 using the presentation function 154 (step S308). Figure 17 shows an example of the management screen. In this embodiment, as shown in Figure 17, icons indicating that risks have been detected in "Catheterization Room 1" and "Catheterization Room 2" are displayed on the detection result display unit 131, the content of the detected risks is displayed as text in the risk content display unit 132, and "Doctor B" is displayed as a person who can help in the dispatched personnel display unit 133. In addition, the countermeasure display unit 134 displays "Countermeasure 1" and "Countermeasure 2", which are ranked higher in recommendation order among multiple countermeasures. In Figure 17, "Countermeasure 1", which has the smallest total value of the risk level after countermeasures, is marked as the most recommended countermeasure.

[0076] By checking the management screen shown in Figure 17, veteran physicians in the medical department can easily identify the optimal combination of countermeasures when risks are detected simultaneously in multiple medical settings and multiple combinations of countermeasures are possible.

[0077] The effects of the medical information processing system 1 and medical information processing device 10 according to this embodiment will be described below.

[0078] In this embodiment, the medical information processing device 10 can select and present a combination of countermeasures that do not overlap resources when risks are detected simultaneously in multiple medical settings. This allows the user to be presented with feasible countermeasures even when resource conflicts occur.

[0079] Furthermore, the medical information processing device 10 according to this embodiment can determine the recommended order of countermeasures based on the predicted risk state after countermeasures, and present the countermeasures according to the recommended order. For example, it can recommend and display countermeasures that reduce the total or maximum value of the risk level after countermeasures. Administrators such as veteran doctors can easily grasp the optimal combination of countermeasures by reviewing the presentation.

[0080] Furthermore, if personnel who can provide assistance have already been dispatched to a medical site, and a new risk is detected at another medical site, the countermeasures plan may be recalculated by including the doctors who have already been dispatched as personnel who can provide assistance, and a countermeasure plan may be proposed in which the doctors who have already been dispatched are dispatched to the other medical site.

[0081] According to at least one embodiment described above, it is possible to support responses to risks that arise during the performance of medical procedures in a medical setting.

[0082] While several embodiments have been described, these embodiments are presented as examples only and are not intended to limit the scope of the invention. These embodiments can be implemented in a variety of other forms, and various omissions, substitutions, modifications, and combinations of embodiments are possible without departing from the spirit of the invention. These embodiments and their variations are included in the scope and spirit of the invention, as well as in the claims and their equivalents. [Explanation of symbols]

[0083] 1…Medical information processing system 10…Medical information processing device 20…Network 30...Sensor 40…Medical Information Database 50…Staff Information Database 11…Memory 12…Communication Interface 13…Display 131...Detection result display unit 132…Risk content display section 133…Dispatch personnel display section 134... Countermeasure display section 14…Input Interface 15…Processing circuit 151... Acquisition function 152... Judgment function 153…Selection function 154…Presentation function 155…Predictive function

Claims

1. An acquisition unit that acquires on-site information regarding multiple medical sites where medical procedures are being performed, A determination unit that determines the risk status of each of the multiple medical sites based on the aforementioned on-site information, A selection unit selects countermeasures for medical facilities that require action based on the results of the risk assessment, A presentation unit presents the aforementioned proposed countermeasures, A medical information processing device equipped with [a specific feature].

2. The aforementioned proposed countermeasures include at least one of the following: the dispatch of medical staff and the use of medical devices. The medical information processing device according to claim 1.

3. The aforementioned display unit presents, as a proposed countermeasure, information on the location and skills of medical staff who can be dispatched. The medical information processing device according to claim 2.

4. The system further includes a prediction unit that predicts changes in the risk state when the aforementioned countermeasures are implemented. The aforementioned display unit displays the prediction results. The medical information processing device according to claim 1.

5. The prediction unit determines the recommended order of the proposed countermeasures based on the prediction results. The presentation unit presents the proposed countermeasures according to the recommended order. The medical information processing device according to claim 4.

6. The aforementioned prediction unit sets a higher recommendation order for countermeasures that reduce the total or maximum risk level in the medical setting. The medical information processing device according to claim 5.

7. The selection unit, when a response is required at multiple medical sites, selects a proposed solution for each of the multiple medical sites in order to avoid duplication of resources used for the response. The medical information processing device according to claim 1.

8. The aforementioned on-site information includes at least one of the following: analysis results of medical images acquired during the execution of the medical procedure; sensor information acquired from sensors attached to medical devices used in the medical procedure; and information regarding the skills of the medical staff performing the medical procedure. The medical information processing device according to claim 1.

9. The display unit displays the proposed countermeasures on a display. The medical information processing device according to claim 1.

10. A medical information database that stores on-site information about multiple medical facilities where medical procedures are being performed, A staff information database that stores staff information about medical staff, An acquisition unit that acquires the aforementioned on-site information and the aforementioned staff information, A determination unit that determines the risk status of each of the aforementioned multiple medical facilities, A selection unit selects countermeasures for medical facilities that require action based on the results of the risk assessment, A presentation unit presents the aforementioned proposed countermeasures, A medical information processing system equipped with [the following features].

11. To obtain on-site information from multiple medical facilities where medical procedures are being performed, Based on the aforementioned on-site information, the risk status of each of the aforementioned multiple medical facilities is determined, Based on the results of the risk assessment, a plan of action for medical facilities requiring intervention will be selected. To present the aforementioned countermeasures, A medical information processing method comprising the following:

12. A function to acquire on-site information from multiple medical facilities where medical procedures are being performed, A function to determine the risk status of each of the multiple medical facilities based on the aforementioned on-site information, Based on the results of the risk assessment, a function is provided to select countermeasures for medical facilities that require action, The function of presenting the aforementioned countermeasures, A medical information processing program that causes a computer to execute data.

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