JP2021012437A - Decision-making support device and system - Google Patents

Abstract

To support a patient so that rational decision-making is performed when decision-making related to a medical treatment policy of the patient is performed.SOLUTION: A decision-making support device according to an embodiment includes: an acquisition unit; an analysis unit; and a presentation unit. The acquisition unit acquires personal information and peripheral information on a decision maker who performs decision-making related to a medical treatment policy of a patient. The analysis unit analyzes characteristics of the decision maker using the personal information and the peripheral information. According to an analysis result of the characteristics, the presentation unit presents a therapy suitable for the patient.SELECTED DRAWING: Figure 1

Description

Embodiments of the present invention relate to decision support devices and systems.

In recent years, in the medical field, patients and their families have participated in decisions such as treatment policy decisions from informed consent, in which doctors explain treatment methods to patients and obtain their consent. The method of decision making is changing to shared decision making aiming at optimal patient care.

Special Table 2017-538556 Special Table 2001-516930 Japanese Unexamined Patent Publication No. 2005-267358 Japanese Unexamined Patent Publication No. 2001-331581

The problem to be solved by the present invention is to support the rational decision making when the decision making regarding the treatment policy of the patient is made.

The decision-making support device according to the embodiment includes an acquisition unit, an analysis unit, and a presentation unit. The acquisition department acquires the personal information and peripheral information of the decision maker who makes a decision on the patient's treatment policy. The analysis unit analyzes the characteristics of the determiner using the personal information and peripheral information. The presenting unit presents a treatment method suitable for the patient according to the analysis result of the characteristic.

FIG. 1 is a diagram showing a configuration example of a decision support system according to the first embodiment. FIG. 2 is a diagram showing a configuration example of the explainer terminal device according to the first embodiment. FIG. 3 is a diagram showing a configuration example of the determiner terminal device according to the first embodiment. FIG. 4 is a diagram showing a configuration example of the decision support device according to the first embodiment. FIG. 5 is a diagram showing the relationship between the passive posture index, the positive posture index, and the neutral bias index used by the analysis function according to the first embodiment. FIG. 6 is a diagram showing a display example of a treatment method and an explanatory method presented by the presentation function according to the first embodiment. FIG. 7 is a diagram showing a display example of a treatment method and an explanatory method presented by the presentation function according to the first embodiment. FIG. 8 is a diagram showing a specific example of a treatment method and an explanatory method presented by the presentation function according to the first embodiment. FIG. 9 is a diagram showing a specific example of a treatment method and an explanatory method presented by the presentation function according to the first embodiment. FIG. 10 is a diagram showing a specific example of a treatment method and an explanatory method presented by the presentation function according to the first embodiment. FIG. 11 is a diagram showing a specific example of a treatment method and an explanatory method presented by the presentation function according to the first embodiment. FIG. 12 is a flowchart showing a processing procedure of processing executed by the processing circuit of the decision support device according to the first embodiment. FIG. 13 is a diagram showing a display example of a treatment method re-presented by the presentation function according to the second embodiment. FIG. 14 is a diagram showing a display example of a treatment method and an explanatory method re-presented by the presentation function according to the third embodiment.

Hereinafter, embodiments of the decision support device and the system will be described in detail with reference to the drawings.

(First Embodiment)
The decision support device and system according to the first embodiment are installed in a hospital or the like and are used when informed consent or shared decision making for making a decision on a treatment policy is performed.

Generally, in the medical field, when deciding a treatment method such as surgery, a doctor gives an informed explanation to the patient and his / her family about the medical condition, the treatment method, and the risks associated with the treatment. -Outlet (hereinafter referred to as IC) is performed. At the IC, a printed textual explanation of the treatment recommended by the doctor is usually handed to the patient or family member, and the doctor gives an oral explanation before a question and answer session. At this time, surgery, chemotherapy, and radiation therapy are usually explained as treatment methods specified by doctors and hospitals in accordance with the guidelines of academic societies. For example, in the case of breast cancer, the medical condition (tumor position and size, metastasis status, etc.), treatment policy (surgery method and time, postoperative treatment, etc.), precautions after surgery (complications, etc.) Medical risks, etc.), surgery schedule (hospitalization date, surgery date, hospitalization period, etc.) will be explained. In the case of serious illnesses such as cancer, stroke, and heart disease table, patients and their families may use a second opinion.

In such ICs, even if the treatment method is based on medical evidence, the doctor tends to unilaterally present the treatment method, but in general, there is uncertainty in the medical evidence. There are risks associated with every treatment. Also, individual values are diverse and the same treatment may not be the best for all patients. For this reason, in recent years, shared decision making (SDM) has been attempted to involve patients and their families more deeply in important decision-making processes. In SDM, the doctor usually presents options to the patient and family, explains the pros and cons, and then leaves the final decision to the patient. For example, in the case of breast cancer, options such as no treatment, total excision + chemotherapy, partial resection + radiation therapy + chemotherapy, etc. are shown, and each option has advantages and disadvantages. Information is shown.

However, with the above-mentioned ICs and SDMs, it may be difficult for patients, their families, and doctors to make rational decisions.

For example, a patient or family member may not be able to calmly listen to a doctor's explanation due to individual or family-specific problems. Here, the specific problems are, for example, the problem of risk related to death and sequelae associated with the treatment of the patient, the financial problem that the treatment cost may not be paid, the income is lost or decreased, and the hospitalization. There are social problems such as no close relatives who can be taken care of at the time of treatment, being unable to take care of the family when hospitalized, or having difficulty in reintegrating into society. On the other hand, doctors are generally busy, and it is difficult to fully understand and deal with problems specific to patients and their families unless questions and consultations are asked by the patients and their families. On the other hand, patients and their families tend to refrain from asking questions or consulting due to the busyness of doctors. In addition, patients and their families may not be able to make a statement because they are concerned about the doctor's feelings, even if they think of receiving a second opinion. In such cases, the patient and family will blindly follow the doctor's explanations and suggestions.

Also, from a behavioral economic point of view, it is known that people have various cognitive and behavioral biases, which can make rational decision-making more difficult. This bias can occur on both the patient and family side and the physician side.

For example, the "bandwagon effect" is known, which blindly selects the same treatment as a patient similar to him. If this "bandwagon effect" works strongly, for example, for elderly cancer patients, considering other factors, it is not a standard treatment with medical evidence, and the physical burden is small. , It may be necessary to choose an alternative treatment method that is less economically burdensome.

In addition, for example, a "status quo bias" that tries to avoid the risks and costs of cancer treatment is also known. If this "status quo bias" works strongly, patients and their families will undergo surgery when they come into contact with information such as treatments with incomplete scientific evidence or alternative treatments with poor medical evidence at the research stage. The problem may be postponed, such as whether this treatment may cure the disease without it, or whether it may be possible to wait for a while before surgery.

Also, for example, there is known a "sanct cost bias" in which one does not want to waste past costs. For example, if you have been receiving anti-cancer drug treatment for a long time, but the effect of the anti-cancer drug is no longer obtained, and continuing anti-cancer drug treatment is too burdensome to the heart, the anti-cancer drug It is reasonable and desirable to discontinue treatment and switch to palliative therapy and spend the rest of the life meaningfully with the family (in this case, dying from chemotherapy-induced heart failure, even if not dying from cancer). There can be). However, if the "sanct cost bias" works strongly, patients and their families will be treated with anti-cancer drugs in order to avoid the loss of time and cost (sanct cost) invested in anti-cancer drug treatment. May wish to continue. Similarly, in end-of-life care, if the patient's distress increases by continuing life-prolonging measures even if the hope of help is very small, or if there is no effective treatment, there is a possibility of cure. Even in very low circumstances, patients may become risk-friendly, with little hope for a treatment with a 5% success rate to avoid sunk cost loss.

In addition, for example, there is also a "prospect theory" consisting of a tendency to strongly prefer certain things in decision-making accompanied by uncertainty (certainty effect) and a tendency to dislike loss more than gain (loss avoidance). In general, treatment methods are often overloaded with so many options, but according to "prospect theory", the success rate is 95% when comparing only the success rates of surgery, but many. Surgery with a success rate of 98%, which is shown to be effective only in a limited number of patients, may be mistaken for better surgery than surgery that has been shown to be safe in patients with.

Also, for example, when a doctor presents a treatment option to a patient or family member, the option presented depends on the doctor's experience and skills, and characteristics such as risk appetite or risk aversion. It is possible that there will be variations and biases.

As shown in the above examples, there is a bias in human cognition and behavior, and it makes extremely difficult decisions such as selection of treatment method and decision to discontinue treatment at the end of life under strong stress. In some cases, it can be difficult for patients, their families, and doctors to make rational decisions. As a result, making irrational decisions and regretting them can be a major psychological injury to patients, their families and doctors.

In addition, decisions in SDM should be made in a variety of contexts, but simple SDMs also run the risk of confusing the patient. For example, in the case of breast cancer, presenting the option of doing nothing may be good for the elderly, but may be harmful for the young. In other words, by presenting the option of doing nothing, it may strengthen the "status quo bias", which tends to favor maintaining the status quo even when it is more desirable to change the status quo, and does not want to undergo surgery. It can also encourage a commitment to folk remedies that have no medical basis to justify their feelings.

For this reason, the decision support device and system according to the present embodiment support the IC or SDM to make a rational decision when making a decision regarding the treatment policy of the patient. Is.

Hereinafter, the decision support device and the system according to the present embodiment will be described in detail. In the present embodiment, a person who makes a decision on the treatment policy is called a "decision maker", and a person who explains the treatment policy is called an "explainer". For example, the deciding person is the patient who receives the treatment, the patient's family, etc., and the explainer is the doctor, etc. who is in charge of the patient's medical treatment. For example, if the patient is unconscious or underage, the family can be the deciding factor.

FIG. 1 is a diagram showing a configuration example of a decision support system according to the first embodiment.

For example, as shown in FIG. 1, the decision support system 100 according to the present embodiment includes the explainer terminal device 110, the decision maker terminal device 120, and the decision support device 130. Here, the devices and systems are connected to each other so as to be able to communicate with each other via the network 140. For example, the decision support system 100 is realized by cloud computing using the Internet.

The explainer terminal device 110 is a terminal device used by an explainer who gives an explanation about a patient's treatment policy when IC or SDM is performed. For example, the explainer terminal device 110 is realized by a computer device such as a personal computer or a workstation, or a mobile device such as a tablet terminal or a smartphone.

The decision-maker terminal device 120 is a terminal device used by a decision-maker who makes a decision regarding a patient's treatment policy when IC or SDM is performed. For example, the decision-maker terminal device 120 is realized by a computer device such as a personal computer or a workstation, or a mobile device such as a tablet terminal or a smartphone.

The decision support device 130 is a device that supports decision making regarding a patient's treatment policy when IC or SDM is performed. For example, the decision support device 130 is implemented as a cloud server using a computer device such as a personal computer or a workstation.

FIG. 2 is a diagram showing a configuration example of the explainer terminal device 110 according to the first embodiment.

For example, as shown in FIG. 2, the explainer terminal device 110 has a NW (network) interface 111, a storage circuit 112, an input interface 113, a display 114, and a processing circuit 115.

The NW interface 111 is connected to the processing circuit 115 and controls data communication performed with other devices via the network 140. Specifically, the NW interface 111 controls the transmission and reception of various data to and from other devices under the control of the processing circuit 115. For example, the NW interface 111 is realized by a network card, a network adapter, a NIC (network interface controller), or the like.

The storage circuit 112 is connected to the processing circuit 115 and stores various data. Specifically, the storage circuit 112 stores various data under the control of the processing circuit 115, and reads and updates the stored data. For example, the storage circuit 112 is realized by a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory, a hard disk, an optical disk, or the like.

The input interface 113 is connected to the processing circuit 115, and receives various instructions and various information input operations from the operator. Specifically, the input interface 113 converts the input operation received from the operator into an electric signal and outputs it to the processing circuit 115. For example, the input interface 113 includes a trackball, a switch button, a mouse, a keyboard, a touch pad for performing input operations by touching an operation surface, a touch screen in which a display screen and a touch pad are integrated, and a non-optical sensor. It is realized by a contact input circuit, a voice input circuit using a microphone, and the like. In the present specification, the input interface 113 is not limited to the one provided with physical operating parts such as a mouse and a keyboard. For example, an example of the input interface 113 includes an electric signal processing circuit that receives an electric signal corresponding to an input operation from an external input device provided separately from the device and outputs the electric signal to a control circuit.

The display 114 is connected to the processing circuit 115 and displays various information and various data. Specifically, the display 114 converts various information and various data into electrical signals for display and outputs them under the control of the processing circuit 115. For example, the display 114 is realized by an LCD (Liquid Crystal Display), a touch panel, or the like.

The processing circuit 115 controls the operation of the explainer terminal device 110 in response to an input operation received from the operator via the input interface 113. Specifically, the processing circuit 115 has a control function 115a.

When the explainer gives an explanation about the treatment policy in the IC or SDM, the control function 115a transmits the instruction or operation received from the explainer to the decision support device 130, and the decision support device 130 responds accordingly. The treatment method presented from the above and the method of explaining the treatment method are displayed on the display 114.

Here, the processing circuit 115 is realized by, for example, a processor. In that case, the control function 115a is stored in the storage circuit 112 in the form of a program that can be executed by a computer. Then, the processing circuit 115 realizes the control function 115a by reading the program from the storage circuit 112 and executing the program. In other words, the processing circuit 115 in the state where the program is read out has the control function 115a shown in FIG.

FIG. 3 is a diagram showing a configuration example of the determiner terminal device 120 according to the first embodiment.

For example, as shown in FIG. 3, the determinant terminal device 120 has a NW interface 121, a storage circuit 122, an input interface 123, a display 124, a sensor 125, and a processing circuit 126.

The NW interface 121, the storage circuit 122, the input interface 123, and the display 124 have the same configurations as the NW interface 111, the storage circuit 112, the input interface 113, and the display 114 of the above-mentioned explainer terminal device 110, respectively.

The sensor 125 detects state information indicating the psychological information of the decision maker. For example, the sensor 125 is realized by a non-contact type sensor such as a camera, a microphone, or an infrared sensor, and detects the facial expression, gesture, voice tone, body temperature, heartbeat, etc. of the determiner as state information. Alternatively, for example, the sensor 125 is realized by a contact-type sensor such as a touch panel built in a mobile device such as a tablet terminal or a smartphone, and detects touch panel pressing, swipe operation speed, operation interval (delay), etc. as state information. To do. Alternatively, the sensor 125 may be realized by an independent sensor unit as an IoT (Internet of Things) device such as an IP camera.

The processing circuit 126 controls the operation of the determinant terminal device 120 in response to an input operation received from the operator via the input interface 123. Specifically, the processing circuit 126 has a control function 126a.

When the decision maker makes a decision on the treatment policy in the IC or SDM, the control function 126a sends the instruction received from the decision maker and the state information of the decision maker detected by the sensor 125 to the decision support device 130. The treatment method transmitted and presented by the decision support device 130 accordingly is displayed on the display 124. For example, in the IC or SDM, when both the patient and the family are participating, the control function 126a detects the state information of each of the patient and the family and transmits the state information to the decision support device 130.

Here, the processing circuit 126 is realized by, for example, a processor. In that case, the control function 126a is stored in the storage circuit 122 in the form of a program that can be executed by a computer. Then, the processing circuit 126 realizes the control function 126a by reading the program from the storage circuit 122 and executing the program. In other words, the processing circuit 126 in the state where the program is read out has the control function 126a shown in FIG.

FIG. 4 is a diagram showing a configuration example of the decision support device 130 according to the first embodiment.

For example, as shown in FIG. 4, the decision support device 130 has a NW interface 131, a storage circuit 132, an input interface 133, a display 134, and a processing circuit 135.

The NW interface 131, the input interface 133, and the display 134 have the same configurations as the NW interface, the input interface, and the display of the above-described explainer terminal device 110 and the determiner terminal device 120, respectively.

The storage circuit 132 is connected to the processing circuit 135 and stores various data. Specifically, the storage circuit 132 stores various data under the control of the processing circuit 135, and reads and updates the stored data. For example, the storage circuit 132 is realized by a semiconductor memory element such as a RAM or a flash memory, a hard disk, an optical disk, or the like. Here, the storage circuit 132 is an example of a storage unit.

Here, in the present embodiment, the storage circuit 132 stores the medical information of the patient.

For example, the patient's medical information includes the patient's current disease name and condition, blood test and imaging test results, and the like. In addition, the medical information of the patient may further include an individual's age, gender, height, weight, medical history, and the like. For example, these medical information are acquired in advance from a medical information system such as an electronic medical record system, a PACS (Picture Archiving and Communication System), a radiation department system, and a sample testing system, and are stored in a storage circuit 132.

Further, in the present embodiment, the storage circuit 132 stores the personal information and peripheral information of the decision maker who makes a decision regarding the treatment policy of the patient.

For example, the personal information of the decision-maker includes attribute information about each patient and family. Here, the attribute information includes age, gender, height, weight, medical history, and the like. For example, these attribute information are collected in advance by a questionnaire or the like conducted at the time of medical treatment or hospitalization, and are stored in the storage circuit 132.

In addition, the decision-maker's personal information includes characteristic information about each patient and family. Here, the characteristic information is information showing static characteristics related to cognition and behavior such as individual tastes and preferences. For example, these characteristic information is created by extracting various characteristics in advance from personal purchase history, web browsing history, information such as writing on SNS (Social Networking Service), and information on behavior in daily life. And stored in the storage circuit 132.

For example, the various characteristics referred to here are advanced characteristics, risk characteristics, economic characteristics, personality characteristics, compatibility characteristics, and the like. Here, the advanced characteristic is a characteristic related to acceptance of advanced medical treatment, such as whether to prefer an advanced treatment method or a standard treatment method. In addition, risk characteristics are characteristics related to complications, acceptance of medical risks, and the like. In addition, the economic characteristics are characteristics related to economics such as the ability to pay medical expenses and whether to accept high-priced medical care such as self-financed medical care. In addition, personality traits are traits related to the person's personality, such as optimistic or pessimistic, short-tempered or long-tempered. In addition, the compatibility characteristic is a characteristic related to compatibility with the other party, such as the type and personality of a favorite person (doctor, nurse, patient, etc.).

On the other hand, the peripheral information of the decision-maker includes information on the family structure and living environment for each patient and family. For example, information on family composition includes the number and age of relatives such as spouses, children, parents, siblings, etc., place of residence, occupation, income, commuting time or school hours. In addition, the information on the living environment includes information on the need for long-term care for parents and the need for care including attending school for children. For example, these peripheral information are collected in advance by a questionnaire or the like conducted at the time of medical treatment or hospitalization, and are stored in the storage circuit 132.

Further, in the present embodiment, the storage circuit 132 stores information about the explainer who explains the treatment policy of the patient.

For example, information about the explainer includes information about the doctor's experience, skills, background, and characteristics. Here, the information regarding the characteristics is, for example, information indicating the personal characteristics of a doctor, information indicating a tendency in medical judgment, and the like. For example, personal traits here are traits such as impatient and long-suffering. In addition, the tendency in medical judgment is that a specific drug tends to be selected, the timing of moving to palliative treatment tends to be delayed, and the judgment when discontinuing treatment varies.

The processing circuit 135 controls the operation of the decision support device 130 according to the input operation received from the operator via the input interface 133. Specifically, the processing circuit 135 has an acquisition function 135a, an analysis function 135b, and a presentation function 135c. Here, the acquisition function 135a is an example of an acquisition unit. The analysis function 135b is an example of an analysis unit. The presentation function 135c is an example of a presentation unit.

The acquisition function 135a acquires the personal information and peripheral information of the decision maker who makes a decision regarding the treatment policy of the patient with reference to the memory circuit 132. In addition, the acquisition function 135a acquires state information indicating the psychological state of the determiner transmitted from the determiner terminal device 120.

Specifically, the acquisition function 135a first acquires the personal information and peripheral information of the decision maker who makes a decision when the IC or SDM is performed. Further, the acquisition function 135a acquires the state information of the determiner transmitted from the determiner terminal device 120 at predetermined time intervals while the IC or SDM is being performed.

The analysis function 135b analyzes the characteristics of the decision-maker using the personal information and peripheral information of the decision-maker acquired by the acquisition function 135a. At this time, the analysis function 135b uses the patient's personal information and peripheral information when the decision-maker is the patient himself / herself. In addition, when the decision-maker is the patient's family, the analysis function 135b uses the personal information and peripheral information of the family.

In addition, the analysis function 135b dynamically analyzes the characteristics of the determiner by further using the state information indicating the psychological state of the determiner acquired by the acquisition function 135a. At this time, the analysis function 135b uses the patient's state information when the decision-maker is the patient himself / herself. In addition, the analysis function 135b uses the family status information when the determinant is the patient's family.

Specifically, when the IC or SDM is performed, the analysis function 135b first analyzes the static characteristics of the deciding person by using the personal information and the peripheral information of the deciding person. For example, the analysis function 135b analyzes the above-mentioned characteristics such as advanced characteristics, risk characteristics, economic characteristics, personality characteristics, and compatibility characteristics.

Further, the analysis function 135b adds the acquired state information in addition to the personal information and peripheral information of the determiner each time the state information of the determiner is acquired by the acquisition function 135a while the IC or SDM is being performed. Is further used to analyze the dynamic characteristics of the determiner.

Specifically, the analysis function 135b estimates the psychological state of the determiner based on the state information of the determiner. For example, the analysis function 135b estimates whether the decision-maker is calm or not upset based on the decision-maker's facial expression, gesture, voice tone, body temperature, heartbeat, and the like. Alternatively, for example, the analysis function 135b estimates whether or not the feeling is upset by measuring the speed or fluctuation of the heartbeat of the determiner by using the technique of estimating the heartbeat from the image obtained by the camera. Alternatively, for example, the analysis function 135b estimates the degree of emotional upset by capturing the trembling of the voice and the muffled low pronunciation from the voice data collected by the microphone. Then, the analysis function 135b dynamically analyzes the cognitive and behavioral characteristics of the determiner based on the estimated psychological state of the determiner.

Here, the analysis function 135b analyzes the characteristics of the bias in the decision making of the decision maker.

For example, the analytical function 135b analyzes the bias characteristics in terms of at least one of a risk preference characteristic, a cost preference characteristic, and a time preference characteristic. Here, the risk appetite characteristic is a characteristic indicating whether the risk aversion tendency is strengthened or the risk appetite degree is strengthened and becomes speculative. In addition, the cost preference characteristic is a characteristic indicating whether the sanct cost avoidance tendency is strengthened or the tolerance for cost is improved. In addition, the time preference characteristic is a characteristic that indicates whether long-term orientation is becoming stronger or short-term orientation is becoming stronger (I do not want to decide now, I want to decide early, I cannot stay in the hospital for such a long time, etc.).

In addition, the analysis function 135b calculates an index value of the psychological state based on the positiveness and negativeness of the determiner.

Specifically, the analysis function 135b determines the bias of the decision-maker in terms of risk preference characteristics, cost preference characteristics, or time preference characteristics based on the content of the decision-maker's remarks, voice color, complexion and facial expression, tremors of hands and fingers, etc. Score traits.

For example, the analysis function 135b independently evaluates the duality of the passive posture and the positive posture of the determiner, and indicates the degree of the negative posture in the range of 0 to 1. , And the positive posture index indicating the degree of positive posture is calculated respectively.

Then, the analytical function 135b allows the decision-maker to make a cognitively neutral state, that is, to calmly judge the situation with less emotional upset, and to make a rational judgment about the necessary action (decision of treatment method). Judge whether it is in a state of

For example, the analytical function 135b uses the following formula to indicate whether or not the determiner is in a cognitively neutral state from the passive posture index and the positive posture index, which is a neutral bias index NI (Neutrality Index). ) Is calculated.

NI = (1-positive posture index) x (1-negative posture index)

Here, the neutral bias index NI is calculated with a value of 0 to 1 in the same manner as the passive posture index and the positive posture index.

FIG. 5 is a diagram showing the relationship between the passive posture index, the positive posture index, and the neutral bias index used by the analysis function 135b according to the first embodiment.

For example, as shown in FIG. 5, when both the negative posture index and the positive posture index are sufficiently small, the neutral bias index NI becomes a large value.

Then, the analysis function 135b determines whether or not the determinant can make a rational judgment by comparing the NI with a predetermined threshold value. For example, the analysis function 135b determines that when the threshold value is set to 0.5 and the NI is 0.5 or more, the deciding person's bias is not strong and a rational judgment can be made (neutral). However, when the NI is less than 0.5, it is determined that the decision-maker has a strong bias and is not in a state where a rational judgment can be made (passive or positive).

The presentation function 135c presents a treatment method suitable for the patient according to the analysis result of the characteristics obtained by the analysis function 135b.

Here, the presentation function 135c searches for a treatment method from a database in which various treatment methods are stored by using a search key set based on the analysis result of the characteristic, and analyzes the characteristic from the searched treatment methods. Multiple treatments are selected and presented according to the results. The database of treatment methods searched by the presentation function 135c may be built in the storage circuit 132 in advance, or may be connected to the network 140, for example, a database accumulated at a medical institution or a medical information providing site. It may be built on another device that can be connected via.

In addition, the presentation function 135c dynamically changes and presents the treatment method to be presented according to the analysis result of the characteristics obtained by the analysis function 135b. At this time, the presentation function 135c dynamically changes and presents the treatment method to be presented so that the index value based on the positiveness and negativeness of the determiner calculated by the analysis function 135b is within a predetermined range. Here, for example, an appropriate range is set in a predetermined range according to attributes such as age and gender of the determiner.

Specifically, when the IC or SDM is performed, the presentation function 135c first obtains the personal information and peripheral information of the determiner acquired by the acquisition function 135a, and the static characteristics performed by the analysis function 135b. A search key is set so that the desired treatment method for the patient is searched based on the analysis result of. Then, the presentation function 135c searches for a treatment method from a database in which various treatment methods are stored by using the set search key.

Further, the presentation function 135c is used to obtain the personal information and peripheral information of the decision-maker acquired by the acquisition function 135a while the IC or SDM is being performed, and the analysis result of the dynamic characteristics performed by the analysis function 135b. Based on this, a search key is set so that the desired treatment method for the patient is searched. At this time, the presentation function 135c adjusts the search keyword so that the above-mentioned neutral bias index NI is within a predetermined range, and searches for a treatment method. For example, the presentation function 135c adjusts the search keyword so that the determiner becomes more positive when the negative posture index is larger than the positive posture index when the NI is out of the predetermined range, and the positive posture index is positive. When the posture index is larger than the passive posture index, the search keyword is adjusted so that the decision-maker becomes more passive. Then, the presentation function 135c searches for a treatment method from a database in which various treatment methods are stored by using the set search key.

Then, each time the presentation function 135c searches for a treatment method from the database, the most recommended treatment method (hereinafter, rational optimum) is selected from the searched treatment methods according to the analysis result of the bias characteristics of the determiner. A plurality of treatments are selected, including (therapies) and at least one alternative treatment that can be considered in contrast to a rational optimal treatment.

For example, the presentation function 135c has a total of three treatment methods, a rational optimal treatment method and two alternative treatment methods, from the viewpoint of treatment result VS cost when the decision-maker has a characteristic of preferring a medium choice. Select (Shotake Ume's Law).

Specifically, the presentation function 135c uses "pine" as an alternative treatment that emphasizes treatment results (performance-oriented alternative treatment), and "bamboo" as a rational optimal treatment that emphasizes cost effectiveness. These three treatment methods are selected as the treatment method (cost performance-oriented rational optimal treatment method) and the cost-oriented alternative method as the "ume" treatment method (cost-oriented alternative treatment method).

For example, the treatment method of "pine" is a treatment method with very high cost, good treatment results, and a small physical burden. Alternatively, for example, the treatment method for "pine" is a treatment method in which treatment can be received at a specific advanced medical institution, but the total amount is paid by the individual. Or, for example, the treatment of "pine" is a treatment that requires hospitalization in a remote medical facility because it cannot be performed in a medical facility near the place of residence.

In addition, for example, the treatment method of "bamboo" is a standard treatment method based on the clinical practice guidelines adopted by the medical society. Or, for example, the treatment method of "bamboo" is a treatment method in which the treatment result is sufficiently high and the treatment is covered by insurance, so that the treatment can be received at 30% of the cost. Or, for example, the treatment method of "bamboo" is the most popular treatment method at present, although the physical burden of the anticancer drug is not small. Or, for example, the treatment method of "bamboo" is a treatment method that can be received by hospitalization at the medical institution currently being examined.

In addition, for example, the treatment method of "ume" is a treatment method in which the treatment result is not high, but the cost and physical burden are small. Or, for example, the cure for "ume" is not aggressive treatment. Alternatively, for example, the treatment of "ume" is a treatment called surveillance therapy in the treatment of prostate cancer.

Then, the presentation function 135c presents a plurality of selected treatment methods in a comparable manner according to the analysis result of the characteristics, and selects the most suitable treatment method for the patient from the plurality of treatment methods. Present an explanation method that encourages decision-making to the explainer who explains the treatment policy.

At this time, the presentation function 135c changes the content of the explanation method based on the information about the explainer stored in the storage circuit 132.

Specifically, the presentation function 135c causes the decision-maker terminal device 120 to display a plurality of treatment methods in a comparable manner according to the analysis result of the characteristics, and the treatment most suitable for the patient from the plurality of treatment methods. The explainer terminal device 110 is made to display an explanation method for prompting a decision so that the method is selected.

Here, the presentation function 135c determines a method of presenting a treatment method according to the analysis result of the characteristics, and presents a treatment method suitable for the patient according to the presentation method.

6 and 7 are diagrams showing display examples of the treatment method and the explanatory method presented by the presentation function 135c according to the first embodiment.

For example, as shown on the right side of FIG. 6, the presentation function 135c causes a plurality of treatment methods A, B, and C to be displayed side by side on the display 124 of the decision-making terminal device 120. Further, for example, the presentation function 135c causes the display 124 of the decision-maker terminal device 120 to further display a text box for the decision-maker to ask a question or search using a search site or the like.

On the other hand, for example, as shown on the left side of FIG. 6, the presentation function 135c has a scenario board window, a patient explanation window, a patient medical information window, and a drawing window on the display 114 of the explainer terminal device 110. Display it.

Here, the presentation function 135c causes the patient explanation window to display the content displayed on the display 124 of the decision-maker terminal device 120. Then, the presentation function 135c receives an instruction to change the display position of each treatment method and an instruction to switch the display / non-display of each treatment method via the patient explanation window, and the decision-maker terminal device responds to the received instruction. The display of the treatment on the display 124 of the 120 is changed. Thereby, for example, the explainer can appropriately change the display of the treatment method according to the request from the deciding person.

In addition, the presentation function 135c causes the patient medical information window to display the medical information of the patient. For example, the presentation function 135c displays the current disease name and condition of the patient, the results of blood tests and imaging tests, and the like in the patient medical information window.

Further, the presentation function 135c accepts an operation of drawing a figure for explaining the treatment policy and an operation of writing characters through the drawing window, and displays the accepted contents on the display 124 of the decision-making terminal device 120. Here, the content received through the drawing window is displayed on the display 124 of the determiner terminal device 120, and as a result, is also displayed in the patient explanation window. Thereby, for example, the explainer can deepen the understanding of the decision-maker regarding the treatment policy by showing the figure through the drawing window.

In addition, the presentation function 135c causes the scenario board window to display explanatory methods relating to a plurality of treatment methods displayed on the display 124 of the determinant terminal device 120. The content displayed in this scenario board window is not presented to the decision-maker, but only to the explainer.

Specifically, the presentation function 135c determines in what order and in what order the selected treatment method is presented to the decision-maker based on the analysis result of the bias characteristics of the decision-maker. For example, the presentation function 135c determines how to arrange a plurality of treatment methods to be displayed as a method of presenting the treatment method to be displayed on the display 124 of the decision-maker terminal device 120. Further, for example, the presentation function 135c determines the explanation order of a plurality of treatment methods, the points of explanation, the NG word, and the like as the explanation method of the treatment method to be displayed on the scenario board window of the explainer terminal device 110.

For example, as shown in FIG. 6, the presentation function 135c displays three treatments on the display 124 of the decision-maker terminal device 120 if the decision-maker has the property of preferring to select with Shochikuume. Let me. Specifically, the presentation function 135c displays the above-mentioned "bamboo" treatment method, and further, as a treatment method for comparing with the above-mentioned "bamboo" treatment method, the above-mentioned "pine" treatment method and "pine" treatment method and " Display the treatment method for "ume". In this case, for example, the presentation function 135c displays the treatment method B of "bamboo" in the center, and the treatment method A of "pine" and the treatment method C of "ume" are displayed on the left and right sides of the treatment method B, respectively. Then, for example, the presentation function 135c causes the scenario board window of the explainer terminal device 110 to display an explanation method of a treatment method suitable for selection by Shochikuume.

Further, for example, as shown in FIG. 7, when the presenting function 135c has a positive characteristic that the decision-maker selects a desirable plan while comparing the alternatives, the decision-maker terminal The display 124 of the device 120 displays two treatments. Specifically, the presentation function 135c selects and displays two treatment methods from the three treatment methods of Shochikuume based on the characteristics of the bias of the determiner. In this case, for example, the presentation function 135c first displays the "bamboo" treatment method A and the "pine" treatment method B, and when the decision-maker selects the "bamboo" treatment method A. , The treatment method C of "ume" is displayed instead of the treatment method B of "pine". Then, for example, the presentation function 135c causes the scenario board window of the explainer terminal device 110 to display an explanation method of a treatment method suitable for selection while comparing with each other.

At this time, the presentation function 135c refers to the information about the explainer stored in the storage circuit 132 to determine the method of explaining the treatment method to be displayed in the scenario board window. For example, when the explainer is a doctor, the presentation function 135c changes the method of explaining the treatment method based on the information about the doctor's experience, skill, background, and characteristics.

For example, the presentation function 135c provides the best treatment for the patient with the current treatment when presenting three treatment options, "stop", "change", and "continue" the current treatment. If it is "changing" and the physician is reluctant to change treatment, determine data and comments that encourage the physician to change treatment and present them in the explanatory method. For example, the presentation function 135c presents information including information that makes it easier for the doctor to explain the treatment method and expressions that reduce the mental burden on the doctor when changing the treatment.

Specifically, for example, the presentation function 135c requires hospitalization because the cancer marker value does not decrease with the current drug, and if the cancer marker value does not decrease, symptoms such as pain become stronger. We will present data showing that, statistical data showing the degree of effect when the drug is changed, and so on. Also, for example, the presentation function 135c presents a comment recommending that the physician continue with the current drug if he is impatient and has a tendency to change the drug immediately, along with information indicating the effect obtained in that case. ..

Here, the treatment method and the explanation method presented by the presentation function 135c will be described more specifically with some examples.

8 to 11 are diagrams showing specific examples of the treatment method and the explanatory method presented by the presentation function 135c according to the first embodiment.

For example, as shown in FIG. 8, the presentation function 135c provides a cost-effective treatment method as a “bamboo plan” that the decision-maker seems to be convinced when guiding the selection easily and smoothly according to Shochikuume's law. As a "pine plan" for displaying and comparing with it, a treatment method that emphasizes treatment results is displayed, and as a "plum plan", a treatment method that emphasizes cost is displayed.

Then, in this case, for example, the presentation function 135c is suitable for what kind of patient each treatment method is suitable from the viewpoint of treatment result VS cost as an explanation method for guiding selection easily and smoothly according to Shochikuume's law. Is displayed in the scenario board window of the explainer terminal device 110. For example, the presentation function 135c displays information about the pine plan, "It is recommended for patients who place importance on'treatment results'." In addition, for example, the presentation function 135c displays information about the bamboo plan, "It is recommended for patients who place importance on" cost effectiveness "." In addition, for example, the presentation function 135c displays information about the plum plan, "It is recommended for patients who place importance on'expenditure costs'."

By referring to this information and explaining to the decision-maker (patient, family), the explainer (doctor) gives a cost-effective treatment method (bamboo plan) for the decision-maker who prefers a medium choice. ) Can be prompted to select. As a result, both the decision-maker (patient, family) and the explainer (doctor) will be satisfied with the result.

Further, for example, as shown in FIG. 9, the presentation function 135c displays the standard treatment as a “bamboo plan” that the decision-maker seems to be convinced when recommending the standard treatment, and the “pine plan” for comparing with the standard treatment. "Immune therapy is displayed, and palliative therapy is displayed as" Plum plan ".

Then, in this case, for example, the presentation function 135c provides information for prompting the decision-maker to select the bamboo plan from the three plans as an explanation method for recommending the standard treatment. Displayed in 110 scenario board windows. For example, the presentation function 135c is about the pine plan, "The effectiveness of the immune checkpoint inhibitor is recognized for patients with xx gene mutation. The treatment cost is xx yen, not covered by insurance (own expense). Is displayed. Also, for example, the presentation function 135c says about the bamboo plan, "XX% of patients with xx cancer choose the standard treatment that combines this surgery / chemotherapy / radiation therapy. The 5-year survival rate is xx%. The treatment cost is about xx yen with insurance coverage. " In addition, for example, the presentation function 135c, regarding the plum plan, "If you do not take aggressive treatment in consideration of age, radiation therapy is recommended. The 5-year survival rate is xx%. Treatment cost due to insurance coverage Is about xx yen. ”Is displayed.

With reference to this information, the explainer (doctor) will explain to the decision-maker (patient, family) so that the standard treatment (bamboo plan) is selected for the decision-maker who prefers a medium choice. Can be prompted. As a result, both the decision-maker (patient, family) and the explainer (doctor) will be satisfied with the result.

Also, for example, as shown in FIG. 10, the presentation function 135c displays the standard treatment as a "bamboo plan" that the decision-maker should select when recommending standard treatment to patients who do not want to undergo surgery. The particle beam therapy is displayed as a "pine plan" for comparison with it, and the radiation therapy is displayed as a "plum plan".

Then, in this case, for example, the presentation function 135c prompts the decision-maker to select the plum plan from the three plans as an explanatory method for recommending standard treatment to patients who do not want to undergo surgery. Information for this is displayed in the scenario board window of the explainer terminal device 110. For example, the presentation function 135c describes the pine plan, "Particle beam therapy is effective for some cancers. The treatment cost is xx yen, not covered by insurance (own expense). Unfortunately, it is difficult to apply. This is a case. ”Is displayed. Also, for example, the presentation function 135c is about the plum plan, "There is an option of radiation therapy, but the 5-year survival rate is as low as xx%. With insurance coverage, the treatment cost is about xx yen, but it is not recommended. . ”Is displayed. Also, for example, the presentation function 135c says about the bamboo plan, "XX% of patients with xx cancer choose the standard treatment that combines this surgery / chemotherapy / radiation therapy. The 5-year survival rate is xx%. The treatment cost is about xx yen with insurance coverage. "

With reference to this information, the explainer (doctor) will explain to the decision-maker (patient, family) so that the standard treatment (bamboo plan) is selected for patients who do not want to undergo surgery. Can be prompted. As a result, both the decision-maker (patient, family) and the explainer (doctor) will be satisfied with the result.

Also, for example, as shown in FIG. 11, the presentation function 135c causes the standard treatment to be displayed as a "bamboo plan" that the decision-maker should select when recommending the standard treatment to patients who adhere to folk remedies. , The folk mushroom therapy is displayed as a "plum plan" to compare with it, and the immunotherapy is displayed as a "pine plan".

And in this case, for example, the presentation function 135c encourages the decision-maker to choose the bamboo plan from the three plans as an explanatory method for recommending standard treatment to patients who stick to folk remedies. Information is displayed in the scenario board window of the explainer terminal device 110. For example, the presentation function 135c, regarding the plum plan, "There is no medical basis for'private mushroom'therapy. Many of the selected patients are ineffective and eventually choose standard treatment." And display the information. In addition, for example, the presentation function 135c describes the bamboo plan, "For patients with xx cancer, we recommend a standard treatment method that combines surgery / chemotherapy / radiation therapy. The 5-year survival rate is xx%. The treatment cost is about xx yen with insurance coverage. " In addition, for example, the presentation function 135c is a high amount of xx yen for the pine plan, "Although immunotherapy using an immune checkpoint inhibitor is applicable, the treatment cost is not covered by insurance (own expense)." And display the information.

With reference to this information, the explainer (doctor) explains to the decision-maker (patient, family) to encourage patients who stick to folk remedies to choose standard treatment (bamboo plan). be able to. As a result, both the decision-maker (patient, family) and the explainer (doctor) will be satisfied with the result.

The processing functions of the processing circuit 135 have been described above. Here, the processing circuit 135 is realized by, for example, a processor. In that case, each processing function of the processing circuit is stored in the storage circuit 132 in the form of a program that can be executed by a computer. Then, the processing circuit 135 realizes the processing function corresponding to each program by reading each program from the storage circuit 132 and executing the program. In other words, the processing circuit 135 in the state where each program is read out has each processing function shown in FIG.

FIG. 12 is a flowchart showing a processing procedure of processing executed by the processing circuit 135 of the decision support device 130 according to the first embodiment.

For example, as shown in FIG. 12, in the present embodiment, when the IC or SDM is started (steps S101, Yes), the acquisition function 135a refers to the memory circuit 132 to make a decision regarding the patient's treatment policy. Acquire the personal information and peripheral information of the decision maker (step S102). For example, the acquisition function 135a receives a start instruction for explaining the treatment method from the explainer via the explainer terminal device 110, and when the start instruction is received, the acquisition function 135a acquires the personal information and peripheral information of the determiner.

Subsequently, the analysis function 135b analyzes the characteristics of the decision-maker using the personal information and peripheral information of the decision-maker acquired by the acquisition function 135a (step S103).

Subsequently, the presentation function 135c presents a treatment method suitable for the patient according to the analysis result of the characteristics obtained by the analysis function 135b (step S104). Specifically, the presentation function 135c causes the decision-maker terminal device 120 to display the treatment method, and causes the explainer terminal device 110 to display the treatment method and the explanation method related to the treatment method. At this time, for example, when the presentation function 135c first displays the treatment method only on the explainer terminal device 110 and receives the treatment method presentation instruction from the explainer via the explainer terminal device 110, the deciding person. The treatment method may be displayed on the terminal device 120.

Subsequently, the acquisition function 135a acquires the state information indicating the psychological state of the determiner transmitted from the determiner terminal device 120 (step S105).

Subsequently, the analysis function 135b dynamically analyzes the characteristics of the determiner by further using the state information indicating the psychological state of the determiner acquired by the acquisition function 135a (step S106).

Subsequently, the presentation function 135c dynamically changes and presents the treatment method according to the analysis result of the characteristics obtained by the analysis function 135b (step S107). Specifically, the presentation function 135c dynamically changes the treatment method displayed on the determiner terminal device 120 and the treatment method and the explanation method displayed on the explainer terminal device 110.

Then, in the present embodiment, the processes of steps S105 to S107 described above are repeatedly executed at predetermined time intervals until the IC or SDM is completed, and when the IC or SDM is completed (steps S108, Yes), the process is performed. finish. For example, the presentation function 135c receives an end instruction of the treatment method explanation from the explainer via the explainer terminal device 110, and when the end instruction is received, the process is ended.

Here, the processing of steps S101, S102, and S105 described above is realized, for example, by the processing circuit 135 reading a predetermined program corresponding to the acquisition function 135a from the storage circuit 132 and executing the processing. Further, the processing of steps S103 and S106 described above is realized, for example, by the processing circuit 135 reading a predetermined program corresponding to the analysis function 135b from the storage circuit 132 and executing the processing. Further, the processing of steps S104, S107 and S108 described above is realized, for example, by the processing circuit 135 reading a predetermined program corresponding to the presentation function 135c from the storage circuit 132 and executing the processing.

In addition, although it has been described here that each processing function is realized by a single processor, the embodiment is not limited to this, and a processing circuit is formed by combining a plurality of independent processors, and each processor executes a program. By executing it, each processing function may be realized. Further, each processing function included in the processing circuit 135 may be appropriately distributed or integrated into a single processing circuit or a plurality of processing circuits. Further, although the description has been made here that a single storage circuit 132 stores a program corresponding to each processing function, the embodiment is not limited to this, and a plurality of storage circuits are distributed and arranged to process the processing circuit 135. May be configured to read the corresponding program from an individual storage circuit.

As described above, in the first embodiment, the decision support device 130 acquires the personal information and peripheral information of the decision maker who makes a decision regarding the treatment policy of the patient, and uses the acquired personal information and peripheral information. , The characteristics of the decision maker are analyzed, and the treatment method suitable for the patient is presented according to the analysis result of the characteristics. With such a configuration, it is possible to support rational decision making when making a decision regarding the treatment policy of the patient.

For example, personal characteristic information such as age, gender, and family composition can be obtained from monitoring data of the patient's daily life, and personality and behavior pattern characteristics can be determined based on static cognitive / behavioral bias information to make the most rational decision-making for the patient. I can help. It can also help decision makers avoid irrational choices so that they will not regret making irrational decisions, even in situations where decision making is extremely difficult. In addition, it is possible to support decision-making that is not intrusive and ensures freedom of choice.

In addition, for example, in important decision-making such as IC and SDM, by constructing treatment options based on the analysis results of bias of patients and their families and supporting presentation methods including presentation order, patients and their families It can help the family make rational and rational decisions even under intense stress. For example, even in difficult situations where end-of-life care or treatment cannot be found, it is possible to help decision makers not to regret by making irrational decisions. Such decision-making that considers the patient's life expectancy and quality of life (QOL) can eventually optimize the cost of medical care and contribute to efficiency. Also, by making such a decision, the decision maker can be convinced that the choice at that time was not wrong.

In the first embodiment described above, the treatment method is dynamically changed and presented by using the state information indicating the psychological state of the decision-maker detected by the sensor 125 included in the decision-maker terminal device 120. Although an example has been described, the embodiment is not limited to this. For example, if the family structure or living environment of the decision-maker changes (marriage, childbirth, income increase / decrease, moving, etc.), the characteristics of the decision-maker's bias may change accordingly. Therefore, for example, the presentation function 135c of the decision support device 130 may further dynamically change and present the treatment method by using the information that affects the characteristics of such bias. Such information is collected, for example, by a periodic questionnaire or the like, and stored in the storage circuit 132.

Further, in the first embodiment described above, an example of presenting a treatment method to a determinant and an explainer while IC or SDM is being performed has been described, but the embodiment is not limited to this.

(Second Embodiment)
For example, after the IC or SDM is finished, the treatment presented to the determiner in the IC or SDM may be reconfirmed. Hereinafter, an example of such a case will be described as a second embodiment. In the following, the second embodiment will be mainly described in terms of differences from the first embodiment, and detailed description of the contents common to the first embodiment will be omitted.

In the present embodiment, the presentation function 135c included in the processing circuit 135 of the decision support device 130 further records the presented treatment method in the storage circuit 132, and reads the treatment method from the storage circuit 132 as required. Represent.

Specifically, the presentation function 135c records all the presented treatment methods in the storage circuit 132 while presenting the treatment method to the determinant terminal device 120 as described in the first embodiment.

Then, when the presentation function 135c receives a request for re-presentation of the treatment method from the decision-maker or another operator via the decision-maker terminal device 120, the presentation function 135c reads the requested treatment method from the storage circuit 132 and determines the treatment method. It is displayed on the display 124 of the personal terminal device 120.

FIG. 13 is a diagram showing a display example of a treatment method re-presented by the presentation function 135c according to the second embodiment.

For example, as shown in FIG. 13, the presentation function 135c causes the display 124 of the determiner terminal device 120 to display a plurality of therapies in a comparable manner as during the IC or SDM. Then, for example, the presentation function 135c receives an instruction to change the display position of each treatment method or an instruction to switch the display / non-display of each treatment method from the deciding person or another operator via the deciding person terminal device 120. , The display of the treatment method on the display 124 of the decision-making terminal device 120 is changed according to the received instruction.

According to the second embodiment described above, for example, after the IC or SDM has been performed, the patient or family member who participated in the IC or SDM reexamines the presented treatment method in a calm state. be able to. Further, for example, a family member who did not participate in the IC or SDM can confirm the treatment method presented by the IC or SDM. This enables more rational decision-making regarding the patient's treatment policy.

(Third Embodiment)
Further, for example, after the IC or SDM is completed, the treatment method and the explanation method presented to the explainer in the IC or SDM may be reconfirmed. Hereinafter, an example of such a case will be described as a third embodiment. In the following, the third embodiment will be mainly described in terms of differences from the first embodiment, and detailed description of the contents common to the first embodiment will be omitted.

In the present embodiment, the presentation function 135c included in the processing circuit 135 of the decision support device 130 further records the presented treatment method and explanation method in the storage circuit 132, and the treatment method is transmitted from the storage circuit 132 as required. And the explanation method is read out and re-presented.

Specifically, the presentation function 135c presents the treatment method and the explanation method to the explainer terminal device 110 as described in the first embodiment, and displays all the presented treatment methods and the explanation methods in the storage circuit 132. Record. At this time, for example, the presentation function 135c may further record the content of the explanation actually given by the explainer and the content of the decision made by the decision maker.

Further, the presentation function 135c stores the requested treatment method and explanation method when a request for re-presentation of the treatment method and explanation method is received from the explainer or another operator via the explainer terminal device 110. It is read from 132 and displayed on the display 114 of the explainer terminal device 110.

FIG. 14 is a diagram showing a display example of a treatment method and an explanatory method re-presented by the presentation function 135c according to the third embodiment.

For example, as shown in FIG. 14, the presentation function 135c displays a scenario board window, a patient explanation window, a patient medical information window, and a drawing on the display 114 of the explainer terminal device 110 in the same manner as while the IC or SDM is being performed. Display the window. Here, the presentation function 135c causes the content displayed on the display 124 of the determiner terminal device 120 to be displayed in the patient explanation window, and displays the medical information of the patient as the patient medical information, as in the case where the IC or SDM is being performed. Display in the window, display figures and characters in the drawing window, and display the explanation method for the treatment method in the scenario board window.

Then, for example, the presentation function 135c receives an instruction to change the display of the treatment method or the explanation method from the explainer or another operator via the explainer terminal device 110, and according to the received instruction, the explainer terminal The display of the treatment method and the explanatory method on the display 114 of the device 110 is changed. At this time, for example, the presentation function 135c may further display the content of the explanation actually made by the decision maker and the content of the decision made by the decision maker while the IC or SDM is being performed.

According to the third embodiment described above, for example, after the IC or SDM is performed, a doctor or the like reviews the treatment method and the content of the explanation explained in the IC or SDM, and confirms the process leading to the decision making. Can be done. In addition, for example, when the doctor in charge of medical treatment of a patient is changed, the new doctor in charge confirms the treatment method and explanation contents explained by the doctor in charge in the past using IC or SDM. , You can check the history of decisions made before. This enables more rational decision-making regarding the patient's treatment policy.

In each of the above-described embodiments, the second embodiment and the third embodiment have been described separately, but the presentation function 135c included in the processing circuit 135 of the decision support device 130 is the second and third embodiments. It may be configured to have both of the processing functions described in each of the embodiments.

Further, in each of the above-described embodiments, an example in which the acquisition unit, the analysis unit, and the presentation unit in the present specification are realized by the acquisition function 135a, the analysis function 135b, and the presentation function 135c of the processing circuit 135, respectively, has been described. , The embodiment is not limited to this. For example, the acquisition unit, the analysis unit, and the presentation unit in the present specification are realized by the acquisition function 135a, the analysis function 135b, and the presentation function 135c described in the embodiment, and also include only hardware or hardware and software. The same function may be realized by mixing.

Further, the term "processor" used in the above description means, for example, a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), an integrated circuit for a specific application (ASIC), or a programmable logic device. (For example, it means a circuit such as a simple programmable logic device (SPLD), a complex programmable logic device (CPLD), and a field programmable gate array (FPGA)). The processor realizes the function by reading and executing the program stored in the storage circuit. Instead of storing the program in the storage circuit, the program may be installed directly in the circuit of the processor. In this case, the processor realizes the function by reading and executing the program embedded in the circuit. Further, the processor of the present embodiment is not limited to the case where it is configured as a single circuit, and a plurality of independent circuits may be combined to be configured as one processor to realize its function.

Here, the program executed by the processor is provided by being incorporated in a ROM (Read Only Memory), a storage circuit, or the like in advance. This program is a file in a format that can be installed or executed on these devices, such as CD (Compact Disk) -ROM, FD (Flexible Disk), CD-R (Recordable), DVD (Digital Versatile Disk), etc. It may be recorded and provided on a computer-readable storage medium. Further, this program may be provided or distributed by being stored on a computer connected to a network such as the Internet and downloaded via the network. For example, this program is composed of modules including the above-mentioned functional parts. In actual hardware, the CPU reads a program from a storage medium such as a ROM and executes it, so that each module is loaded on the main storage device and generated on the main storage device.

According to at least one embodiment described above, it is possible to support the rational decision making when the decision making regarding the treatment policy of the patient is made.

Although some embodiments of the present invention have been described, these embodiments are presented as examples and are not intended to limit the scope of the invention. These embodiments can be implemented in various other embodiments, and various omissions, replacements, and changes can be made without departing from the gist of the invention. These embodiments and modifications thereof are included in the scope and gist of the invention, as well as in the scope of the invention described in the claims and the equivalent scope thereof.

100 Decision support system 110 Explainer terminal device 120 Decision maker terminal device 130 Decision support device 135 Processing circuit 135a Acquisition function 135b Analysis function 135c Presentation function

Claims (11)

The acquisition department that acquires the personal information and peripheral information of the decision maker who makes decisions regarding the treatment policy of the patient,
An analysis unit that analyzes the characteristics of the decision-maker using the personal information and peripheral information,
A decision support device including a presentation unit that presents a treatment method suitable for the patient according to the analysis result of the characteristics. The acquisition unit acquires state information indicating the psychological state of the determiner, and obtains the state information.
The analysis unit dynamically analyzes the characteristics of the determiner by further using the state information.
The presenting unit dynamically changes and presents the treatment method according to the analysis result of the characteristic.
The decision support device according to claim 1. The analysis unit calculates an index value of a psychological state based on the positiveness and negativeness of the determiner, and then
The presenting unit dynamically changes and presents the treatment method so that the index value is within a predetermined range.
The decision support device according to claim 2. The analysis unit analyzes the characteristics of bias in the decision making of the decision maker.
The decision support device according to any one of claims 1 to 3. The presenting unit determines a method of presenting the treatment method according to the analysis result of the characteristic, and presents the treatment method according to the presentation method.
The decision support device according to any one of claims 1 to 4. The presenting unit presents a plurality of treatment methods in a comparable manner according to the analysis result of the characteristics, and intends to select the most suitable treatment method for the patient from the plurality of treatment methods. Present the explanation method for prompting the decision to the explainer who explains the treatment policy.
The decision support device according to any one of claims 1 to 5. The presenting unit changes the content of the explanation method based on the information about the explainer.
The decision support device according to claim 6. The presenting unit searches for a treatment method from a database in which various treatment methods are stored by using a search key set based on the analysis result of the characteristic, and the analysis result of the characteristic from the searched treatment methods. Select and present the plurality of treatment methods according to
The decision support device according to claim 7. The presenting unit further records the presented treatment method in the storage unit, reads the treatment method from the storage unit, and re-presents the treatment method as requested.
The decision support device according to any one of claims 1 to 8. The presenting unit further records the presented treatment method and the explanatory method in the storage unit, reads the therapeutic method and the explanatory method from the storage unit, and re-presents the presented treatment method and the explanatory method as requested.
The decision support device according to claim 6 or 7. An explainer terminal device used by an explainer who explains a patient's treatment policy, a decision-maker terminal device used by a decision maker who makes a decision about the treatment policy, and a decision support device which supports a decision about the treatment policy. It is a decision support system including
The decision support device is
The acquisition department that acquires the personal information and peripheral information of the decision-maker,
An analysis unit that analyzes the characteristics of the decision-maker using the personal information and peripheral information,
According to the analysis result of the characteristic, a plurality of treatment methods are displayed in a comparable manner on the decision-maker terminal device, and the treatment method most suitable for the patient is selected from the plurality of treatment methods. A decision-making support system including a presentation unit that displays an explanation method for prompting a decision-making on the explainer terminal device.

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