Medical support system, operating method of medical support system, storage medium, and medical control device

Abstract

A lesion identification information acquisition unit 111 acquires lesion identification information including the result of identifying a lesion confirmed in a current endoscopy of a patient being examined. An examination history information acquisition unit 112 acquires examination history information including a diagnosis history for a past endoscopy of the patient being examined. A recommended action information output unit 113 compares the lesion identification information and the examination history information with a prescribed assessment criterion (created on the basis of, e.g., accumulated data from past endoscopies) and outputs recommended action information including a recommended action against the lesion confirmed in the current endoscopy.

Description

[Technical Field]

[0001] The present disclosure relates to a medical support system for supporting a doctor in making decisions regarding procedures to be performed in an endoscopic examination, etc. System Operation The present invention relates to a method, a storage medium and a medical control device. [Background technology]

[0002] Conventionally, medical diagnosis support systems have been known that use computers to classify the type of lesion during endoscopic observation. The decision on whether to treat a lesion and the type of treatment is left to the discretion of the physician, and even if a lesion is detected using the medical diagnosis support system, there is a risk that the lesion will be left untreated due to a physician's misjudgment. When deciding whether to treat a lesion and the type of treatment, it is desirable to take into account not only the type of lesion but also past examination history, and make a decision based on an estimate of the lesion's progression. Summary of the Invention [Problem to be solved by the invention]

[0003] Conventional medical diagnosis support systems only show the classification results of the type of lesion, so there is room for improvement in terms of support for determining whether or not to treat the lesion and the content of the treatment.

[0004] The present disclosure has been made in consideration of these circumstances, and its purpose is to provide a technology that can assist in determining whether or not to treat a lesion and the details of the treatment. [Means for solving the problem]

[0005] To solve the above problems, a medical support system according to one aspect of the present disclosure is a medical support system including at least one processor equipped with hardware, which acquires lesion identification information including an identification result of a lesion confirmed in a current endoscopic examination of a patient under examination, acquires examination history information including a diagnosis history of past endoscopic examinations of the patient under examination, applies the lesion identification information and the examination history information to predetermined criteria, and outputs recommended treatment information including a recommended treatment for the lesion confirmed in the current endoscopic examination.

[0006] Another aspect of the present disclosure is a medical support method that acquires lesion identification information including identification results of lesions identified in an endoscopic examination of a patient under examination, acquires examination history information including a diagnosis history of past endoscopic examinations of the patient under examination, applies the lesion identification information and the examination history information to predetermined criteria, and outputs recommended treatment information including a recommended treatment for the lesion identified in the current endoscopic examination.

[0007] Any combination of the above components, and conversion of the present disclosure into a method, device, system, recording medium, computer program, etc., are also valid aspects of the present disclosure. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is a diagram illustrating a configuration example of a medical support system according to an embodiment; [Figure 2] FIG. 2 is a diagram illustrating an example of the configuration of the endoscopic service support system of FIG. 1. [Figure 3] 3(a) to 3(c) are diagrams for explaining the flow up to determining the recommended action according to the first specific example. [Figure 4] 1 is a diagram showing an endoscopic image of a target patient displayed on a display device of an endoscope system according to specific example 1. FIG. [Figure 5] 5(a) to 5(c) are diagrams for explaining the flow up to determining the recommended action according to the second specific example. [Figure 6]FIG. 10 is a diagram showing an endoscopic image of a target patient displayed on a display device of an endoscope system according to specific example 2. [Figure 7] 7(a) to 7(c) are diagrams for explaining the flow up to determining the recommended action according to the specific example 3. In FIG. [Figure 8] FIG. 10 is a diagram showing an endoscopic image of a target patient displayed on a display device of an endoscope system according to a third specific example. [Figure 9] 3 is a flowchart showing the basic operation of the endoscopic service support system according to the embodiment. [Figure 10] FIG. 10 is a diagram illustrating an example of a report input screen. DETAILED DESCRIPTION OF THE INVENTION

[0009] 1 shows an example of the configuration of a medical support system 1 according to an embodiment. The medical support system 1 according to the embodiment is a system for supporting endoscopic examinations provided in an endoscopy department of a medical facility. The medical support system 1 includes an endoscopic operation support system 10, an endoscopy system 20, and an imaging diagnostic device 30. The endoscopic operation support system 10, the endoscopy system 20, and the imaging diagnostic device 30 are communicably connected via a network 2 such as a LAN.

[0010] The endoscope system 20 includes an endoscope 21, an endoscope processing device (also called a video processor) 22, a display device 23, and a light source device 24. The endoscope 21 is inserted into a patient's body and captures images of the inside of the patient's body.

[0011] The endoscope 21 includes a solid-state image sensor. The solid-state image sensor is equipped with a CMOS image sensor, a CCD image sensor, or a CMD image sensor, and converts incident light into an electrical signal. The converted image signal (electrical signal) undergoes signal processing such as A / D conversion and noise removal by a signal processing circuit (not shown), and is output to the endoscope processing device 22. The endoscope 21 also includes a forceps channel. By passing treatment tools through the forceps channel, a doctor can perform various treatments during endoscopic examination.

[0012] The display device 23 includes a liquid crystal monitor or an organic EL monitor, and displays images input from the endoscope processing device 22. The display device 23 can display, in real time, images of the inside of the patient's body captured by the endoscope 21 as endoscopic images. The light source device 24 includes a light source such as a xenon lamp, and supplies observation light (white light, narrowband light, fluorescent light, near-infrared light, etc.) to the tip of the endoscope 21. The light source device 24 also includes a built-in pump that sends water or air into the endoscope 21.

[0013] The endoscope processing device 22 comprehensively controls the entire endoscope system 20. The endoscope processing device 22 displays the endoscopic image input from the endoscope 21 on the display device 23. At this time, the endoscope processing device 22 can perform various effect processing such as superimposing an OSD (On Screen Display) or highlighting on the endoscopic image input from the endoscope 21.

[0014] The image diagnostic device 30 is a device for detecting lesions from endoscopic images by image recognition. The image diagnostic device 30 may be a dedicated device, or may be configured as a general-purpose server or PC on which an image diagnostic program is installed.

[0015] The diagnostic imaging device 30 has a machine learning model for detecting lesions from endoscopic images. The machine learning model is generated by machine learning using a large number of endoscopic images with lesion annotations as a supervised dataset. The annotations are added by annotators with specialized knowledge, such as doctors. Deep learning techniques such as CNN, RNN, and LSTM can be used for the machine learning. The diagnostic imaging device 30 applies the endoscopic images input from the endoscopy system 20 to the machine learning model to identify lesions, and outputs lesion identification information including the lesion identification results to the endoscopy service support system 10.

[0016] Fig. 2 shows an example of the configuration of the endoscopic service support system 10 of Fig. 1. The endoscopic service support system 10 is constructed by at least one server. The endoscopic service support system 10 includes a processing unit 11, a storage unit 12, a communication unit 13, and a console unit 14. The processing unit 11 includes a lesion identification information acquisition unit 111, an examination history information acquisition unit 112, a recommended treatment information output unit 113, a diagnostic treatment progress pattern generation unit 114, a recommended treatment display control unit 115, and a report output unit 116.

[0017] The configuration of the processing unit 11 can be realized in hardware by any processor (e.g., CPU, GPU), memory (e.g., DRAM), or other LSI (e.g., FPGA, ASIC), and in software by a program loaded into memory, but here we depict functional blocks realized by the cooperation of these. Therefore, it will be understood by those skilled in the art that these functional blocks can be realized in various forms by hardware alone, software alone, or a combination of both.

[0018] The storage unit 12 is equipped with a storage medium such as an HDD or SSD, and includes an examination history information storage unit 121 and a diagnostic treatment progress pattern storage unit 122. The examination history information storage unit 121 is a database that accumulates examination history information for each patient. The examination history information includes, for example, an examination number, a patient ID, an examination date, an examination type, an examination interval, a qualitative diagnosis, treatment information, etc. (see FIGS. 3(a) and 5(a)).

[0019] The qualitative diagnosis includes diagnostic information of lesions confirmed by a doctor in a previous endoscopic examination. If no lesion is found, the qualitative diagnosis is recorded as "no abnormal findings." If the doctor adopts the lesion identified by the diagnostic imaging device 30, the lesion identified by the diagnostic imaging device 30 is recorded as is in the qualitative diagnosis. If the doctor changes the lesion identified by the diagnostic imaging device 30, the lesion changed by the doctor is recorded in the qualitative diagnosis. In this case, the lesion identified by the diagnostic imaging device 30 is recorded separately as an AI image diagnosis.

[0020] The treatment information includes the treatment details performed on the diagnosed lesion. If no treatment was performed, the treatment information is recorded as "none."

[0021] The diagnostic treatment progress pattern storage unit 122 is a database that stores multiple pieces of diagnostic treatment progress pattern information created by aggregating each piece of examination history information that has a matching examination type, a matching or similar examination interval, a matching or similar qualitative diagnosis, and matching treatment information, using multiple pieces of examination history information stored in the examination history information storage unit 121 as reference data. The diagnostic treatment progress pattern information includes, for example, the examination number, the examination type, the examination interval, the qualitative diagnosis, the treatment information, the number of cases, etc. (see FIGS. 7(a) and (b)).

[0022] The communication unit 13 executes communication processing for communicating with the endoscope system 20 or the diagnostic imaging device 30 via the network 2. The console unit 14 is a user interface equipped with a liquid crystal monitor, an organic EL monitor, a mouse, a keyboard, a touch panel, etc. The functions of the console unit 14 can also be performed by a client PC (not shown) connected via the network 2.

[0023] The image diagnostic device 30 outputs lesion identification information including the lesion identification result detected by image recognition of the endoscopic image captured by the endoscopic system 20 during the current endoscopic examination (hereinafter referred to as the current examination) of the patient to be examined (hereinafter referred to as the target patient) to the endoscopic service support system 10. The lesion identification information acquisition unit 111 of the endoscopic service support system 10 acquires the lesion identification information from the image diagnostic device 30.

[0024] The examination history information acquiring unit 112 acquires examination history information including the diagnosis history of the target patient's past endoscopic examination (hereinafter referred to as past examination) from the examination history information storage unit 121. Specifically, the examination history information acquiring unit 112 searches the examination history information storage unit 121 using the patient ID of the target patient as a key, and extracts the examination history information of the target patient.

[0025] The recommended treatment information output unit 113 applies the lesion identification information of the current examination acquired by the lesion identification information acquisition unit 111 and the examination history information of the target patient acquired by the examination history information acquisition unit 112 to predetermined criteria, and generates recommended treatment information including recommended treatment for the lesion confirmed in the current examination. The recommended treatment information output unit 113 outputs the generated recommended treatment information to the endoscopic system 20.

[0026] The predetermined judgment criteria are created based on the accumulated data of past endoscopic examinations stored in the examination history information storage unit 121. More specifically, they are created based on the examination history information of a reference patient other than the target patient. The examination history information of the reference patient includes diagnosis information of lesions confirmed in past examinations and information on treatments performed on the diagnosed lesions.

[0027] The recommended treatment information output unit 113 can select, using a predetermined criterion, the examination history information of the reference patient having examination history information that matches or is similar to the conditions of the examination history information of the target patient and the lesion identification information of the current examination from the examination history information of multiple reference patients stored in the examination history information storage unit 121. The recommended treatment information output unit 113 outputs, as recommended treatment information, the treatment information that corresponds to the lesion identification information of the current examination that is included in the selected examination history information.

[0028] The recommended treatment information output unit 113 determines the similarity between the examination history information of the reference patient and the examination history information of the target patient (including the lesion identification information of the current examination), for example, as follows: The recommended treatment information output unit 113 applies the lesion included in the lesion identification information of the current examination to the qualitative diagnosis of the current examination history information of the target patient. The treatment information of the current examination history information is left blank.

[0029] The recommended procedure information output unit 113 extracts, from the examination history information of multiple reference patients, examination history information of the reference patients having an examination type that matches the examination type of the target patient. From the extracted examination history information of the reference patients, the recommended procedure information output unit 113 extracts, from the examination history information of the reference patients, examination history information of the reference patients for the number of examinations that matches the number of examinations (including the current examination) of the target patient.

[0030] For example, if the examination history information of the reference patient includes five examination histories and the current examination of the target patient is the fourth, the recommended action information output unit 113 extracts the examination history information up to the fourth examination of the reference patient. Note that if the number of examinations of the reference patient is fewer than the number of examinations of the target patient, the recommended action information output unit 113 excludes the examination history information of the reference patient. The recommended action information output unit 113 sets the examination history information of the reference patient that meets the conditions of examination type and number of examinations as a reference candidate.

[0031] The recommended action information output unit 113 extracts, from the reference candidates, test history information of reference patients whose test intervals match or are similar to those of the target patient. For example, the recommended action information output unit 113 uses a test interval similarity score table. If the test interval of the reference patient matches that of the target patient, the similarity score is set to 1, and the more the test interval of the reference patient deviates from that of the target patient, the similarity score is set to a value closer to 0. The test interval similarity score table is set in advance based on an epidemiologically based evaluation of the identity of test patterns. The recommended action information output unit 113 adds up the test interval similarity scores of each test and divides it by the number of tests to calculate an average test interval similarity score. From the reference candidates, the recommended action information output unit 113 extracts test history information of reference patients whose average test interval similarity score is equal to or greater than a predetermined value (e.g., 0.8).

[0032] The recommended action information output unit 113 extracts, from the reference candidates, examination history information of reference patients whose qualitative diagnoses match or are similar to the qualitative diagnosis of the target patient. For example, the recommended action information output unit 113 uses a qualitative diagnosis similarity score table. When the qualitative diagnosis of the reference patient matches that of the target patient, the similarity score is set to 1, and the more the qualitative diagnosis of the reference patient deviates from that of the target patient, the similarity score is set to a value closer to 0. The qualitative diagnosis similarity score table is set in advance based on the similarity between lesions based on an epidemiological perspective. The recommended action information output unit 113 adds up the similarity scores of the qualitative diagnoses of each test and divides by the number of tests to calculate the average similarity score of the qualitative diagnoses. From the reference candidates, the recommended action information output unit 113 extracts examination history information of reference patients whose average similarity score of the qualitative diagnoses is equal to or greater than a predetermined value (e.g., 0.8).

[0033] The recommended action information output unit 113 extracts the test history information of the reference patient having treatment information that matches the treatment information up to the target patient's previous test from the test history information of the reference patient that meets the conditions of test interval and qualitative diagnosis. When there is a plurality of extracted test history information of the reference patient, the recommended action information output unit 113 selects the test history information of the reference patient having the highest total score of the average similarity score of the test interval and the average similarity score of the qualitative diagnosis as the predetermined judgment criterion. Note that the recommended action information output unit 113 may select, as the predetermined judgment criterion, the test history information of the reference patient that matches the sex and is close in age from the test history information of the reference patients with the top N total scores.

[0034] The recommended treatment information output unit 113 can use a time axis search when searching for examination history information that matches a condition from the examination history information of multiple reference patients stored in the examination history information storage unit 121. The time axis search is a search function for extracting search history information of patients that matches the conditions of a reference point from a certain reference point toward the future or past.

[0035] The predetermined judgment criteria may also be created based on statistical information of the examination history information of multiple reference patients. The diagnostic treatment progress pattern generation unit 114 uses multiple examination history information stored in the examination history information storage unit 121 as reference data, and aggregates each piece of examination history information that has a matching examination type, a matching or similar examination interval, a matching or similar qualitative diagnosis, and matching treatment information, to create multiple pieces of diagnostic treatment progress pattern information. The diagnostic treatment progress pattern generation unit 114 stores the generated multiple pieces of diagnostic treatment progress pattern information in the diagnostic treatment progress pattern storage unit 122. Each piece of diagnostic treatment progress pattern information includes an aggregate number. The aggregate number can be considered to be the number of cases or patients who have followed the course of each diagnostic treatment progress pattern.

[0036] The range of similarity between test intervals that can be counted as the same diagnostic treatment progress pattern is set in advance based on an epidemiological evaluation of the similarity of test patterns. For example, the range of similarity between test intervals is set for each test type to ±X days (e.g., 30 days) of the standard test interval (e.g., 1 year, 6 months, 3 months). The range of similarity between qualitative diagnoses that can be counted as the same diagnostic treatment progress pattern is set in advance based on the similarity between lesions from an epidemiological perspective.

[0037] The recommended treatment information output unit 113 can select diagnostic treatment progress pattern information that matches or is similar to the conditions of the examination history information of the target patient and the lesion identification information of the current examination as a predetermined criterion from among the multiple diagnostic treatment progress pattern information stored in the diagnostic treatment progress pattern storage unit 122. If there is no diagnostic treatment progress pattern information that matches the conditions of the examination history information of the target patient and the lesion identification information of the current examination, the recommended treatment information output unit 113 selects similar diagnostic treatment progress pattern information in the same way as in the case of selecting a predetermined criterion from the examination history information of the reference patient described above.

[0038] If there are multiple pieces of diagnostic procedure progress pattern information that match the conditions of the examination history information of the target patient and the lesion identification information of the current examination, the recommended procedure information output unit 113 selects the diagnostic procedure progress pattern information with the largest number of counts. The recommended procedure information output unit 113 outputs the procedure information corresponding to the lesion identification information of the current examination included in the selected diagnostic procedure progress pattern information as recommended procedure information.

[0039] The recommended treatment display control unit 115 outputs a control signal to the endoscopic processing device 22 to superimpose the recommended treatment information output by the recommended treatment information output unit 113 on the endoscopic image of the target patient displayed in real time on the display device 23 of the endoscopic system 20.

[0040] The endoscopic processing device 22 superimposes a guidance frame that surrounds the site of the lesion detected by the image diagnostic device 30 on the endoscopic image of the target patient displayed on the display device 23. The endoscopic processing device 22 further superimposes and displays a guidance display of the recommended treatment obtained from the endoscopic service support system 10 near the guidance frame that surrounds the site of the lesion.

[0041] The report output unit 116 can output an examination report that describes the matters to be handed over based on the recommended treatment. The examination report is output and recorded in the examination history information storage unit 121 of the endoscopic service support system 10 or a linked electronic medical record system (not shown). The examination report is referenced by the doctor in charge of the current examination or another doctor at the time of the next examination or thereafter. The examination report is an effective tool for informing another doctor of a treatment that could not be performed on the day of the examination and should be performed in the next examination, or for the doctor in charge to remember. The report output unit 116 may automatically input, into the report input screen, treatments that were recommended for the current examination but were not performed this time as a draft of the matters to be communicated.

[0042] 3(a)-(c) are diagrams illustrating the process for determining a recommended treatment according to Example 1. FIG. 3(a) shows the examination history information of a reference patient selected as a predetermined criterion according to Example 1. The examination history information shows that four upper endoscopies were performed at one-year (365-day) intervals. The progression of qualitative diagnosis and treatment information is as follows: "No abnormal findings" - "None" → "Gastric ulcer" - "None" → "Fundus gland polyp" - "Biopsy" → "Early gastric cancer" - "Endoscopic submucosal dissection (ESD)." This is a case in which ESD was performed on a patient who underwent upper endoscopies at one-year intervals and was found to have early gastric cancer. Early gastric cancer that developed after a fundus gland polyp tends to progress rapidly, so ESD, a treatment suitable for widespread and deep-seated cancer, is recommended.

[0043] Figure 3(b) shows the examination history information of the subject patient in Example 1 (the qualitative diagnosis and treatment information for this examination has not yet been determined). The examination history information for the past three examinations of the subject patient shown in Figure 3(b) matches the examination interval, qualitative diagnosis, and treatment information for the past three upper endoscopy examinations of the reference patient shown in Figure 3(a).

[0044] FIG. 3(c) shows the examination history information after the image diagnosis in the current examination of the target patient according to specific example 1. In the current examination, early gastric cancer was detected by the image diagnosis of the imaging diagnostic device 30. The endoscopic work support system 10 proposes ESD as the recommended procedure for the current examination based on the examination history information of the reference patient shown in FIG. 3(a).

[0045] 4 is a diagram showing an endoscopic image of a target patient displayed on the display device 23 of the endoscopic system 20 according to specific example 1. A guidance frame 23a that frames the site of the lesion diagnosed by the diagnostic imaging device 30 is superimposed on the endoscopic image displayed on the display device 23, and a guidance display 23b of the recommended procedure, stating "Perform ESD," is superimposed nearby.

[0046] 5(a)-(c) are diagrams illustrating the process for determining a recommended treatment according to Example 2. Figure 5(a) shows the examination history information of a reference patient selected as a predetermined criterion according to Example 2. The examination history information shows that four upper endoscopies were performed at one-year (365-day) intervals. The progression of qualitative diagnosis and treatment information is as follows: "No abnormal findings" - "None" → "Gastric ulcer" - "None" → "Adenoma-01" - "Biopsy" → "Early gastric cancer" - "Endoscopic mucosal resection (EMR)." This is a case in which an EMR was performed on a patient who underwent upper endoscopies at one-year intervals and early gastric cancer was discovered. Early gastric cancer that developed after adenoma-01 tends to progress slowly, so there is a high possibility that the cancer can be removed by EMR, a procedure suitable for small lesions.

[0047] Figure 5(b) shows the examination history information of the target patient in specific example 2 (the qualitative diagnosis and treatment information for this examination has not yet been determined). The examination history information for the past three examinations of the target patient shown in Figure 5(b) matches the examination interval, qualitative diagnosis, and treatment information for the past three upper endoscopy examinations of the reference patient shown in Figure 5(a).

[0048] FIG. 5(c) shows the examination history information after the image diagnosis in the current examination of the target patient according to specific example 2. In the current examination, early gastric cancer was detected by the image diagnosis of the imaging diagnostic device 30. The endoscopic work support system 10 proposes EMR as the recommended treatment for the current examination based on the examination history information of the reference patient shown in FIG. 5(a). Because the progress pattern differs from the examination history information of the reference patient according to specific example 1 shown in FIG. 3(a), a treatment different from that in specific example 1 is proposed.

[0049] 6 is a diagram showing an endoscopic image of a target patient displayed on the display device 23 of the endoscopic system 20 according to specific example 2. A guidance frame 23a that frames the site of the lesion diagnosed by the image diagnostic device 30 is superimposed on the endoscopic image displayed on the display device 23, and a guidance display 23b of the recommended treatment, saying "Please perform EMR," is superimposed nearby.

[0050] 7(a)-(c) are diagrams for explaining the flow up to determining the recommended treatment according to specific example 3. FIG. 7(a) shows diagnostic treatment progress pattern information A, which is a candidate for the predetermined judgment criterion, according to specific example 3. Diagnostic treatment progress pattern information A is information obtained by aggregating the examination history information of the past four upper endoscopy examinations performed at one-year (365-day) intervals, in which the progression pattern of qualitative diagnosis and treatment information has followed the sequence of "no abnormal findings" and "none" → "gastric ulcer" and "biopsy" → "fundic gland polyp" and "polypectomy" → "adenoma 0II-b" and "ESD." The number of cases that have followed this progression pattern is 100.

[0051] 7(b) shows diagnostic treatment progress pattern information B, which is a candidate for a predetermined judgment criterion, according to specific example 3. Diagnostic treatment progress pattern information B is information that compiles examination history information from the past four upper endoscopy examinations performed at one-year (365-day) intervals, in which the progress pattern of qualitative diagnosis and treatment information follows the sequence of "no abnormal findings" and "none" → "gastric ulcer" and "biopsy" → "gastric fundic gland polyp" and "polypectomy" → "adenoma 0II-b" and "adenoma ablation." The number of cases that followed this progress pattern is 300.

[0052] FIG. 7(c) shows the examination history information after image diagnosis in the current examination of the target patient according to specific example 3. In the current examination, adenoma 0II-b was detected by image diagnosis from the image diagnostic device 30. If there are multiple pieces of diagnostic procedure progress pattern information (diagnostic procedure progress pattern information A and B in specific example 3) that match the examination history information of the target patient and the lesion identification information of the current examination (adenoma 0II-b in specific example 3), the endoscopic operation support system 10 selects diagnostic procedure progress pattern information B, which has a larger number of cases, as the predetermined judgment criterion. The endoscopic operation support system 10 proposes adenoma ablation as the recommended treatment for the current examination.

[0053] 8 is a diagram showing an endoscopic image of a target patient displayed on the display device 23 of the endoscopic system 20 according to specific example 3. A guidance frame 23a that frames the site of the lesion diagnosed by the image diagnostic device 30 is superimposed on the endoscopic image displayed on the display device 23, and a guidance display 23b of the recommended procedure, stating "Perform adenoma cauterization," is superimposed nearby.

[0054] 9 is a flowchart showing the basic operation of the endoscopic service support system 10 according to the embodiment. The lesion identification information acquisition unit 111 acquires the lesion identification information of the current examination of the target patient from the image diagnostic device 30 (S10). The examination history information acquisition unit 112 acquires the examination history information of the target patient from the examination history information storage unit 121 (S20). The recommended procedure information output unit 113 selects a criterion that matches the conditions of the examination history information of the target patient and the lesion identification information of the current examination (S30). The recommended procedure information output unit 113 extracts procedure information corresponding to the lesion identification information of the current examination from the selected criterion (S40). The recommended procedure display control unit 115 superimposes the extracted procedure information as a recommended procedure on the endoscopic image displayed on the display device 23 (S50).

[0055] 10 shows an example of a report input screen. In addition to the diagnostic findings of the current examination, the doctor can also input, as a handover item, any treatment that was recommended by the endoscopic work support system 10 but could not be performed during the current examination.

[0056] As described above, according to this embodiment, by presenting a recommended procedure based on the examination history information of the patient and the lesion identification information of the current examination to the physician during the endoscopic examination, it is possible to support the physician in making a decision regarding whether or not to treat the lesion and the details of the procedure. Some conventional medical diagnosis support systems also display estimated finding information on the endoscope monitor. However, the decision regarding whether or not to treat the lesion and the details of the procedure based on the displayed finding information relies on the physician's experience. If the physician makes an error in judgment, there is a possibility that the appropriate procedure will not be performed. According to this embodiment, the recommended procedure output from the endoscopic operation support system 10 is superimposed on the display device 23 of the endoscopic system 20, thereby preventing omission of a procedure that should be performed.

[0057] The present disclosure has been described above based on a number of embodiments. These embodiments are merely examples, and it will be understood by those skilled in the art that various modifications are possible in the combination of the respective components and processing steps, and that such modifications are also within the scope of the present disclosure.

[0058] In the above embodiment, the lesion identification information for the current examination of the subject patient is the lesion identification information including the lesion identification result confirmed by image recognition of the endoscopic image by the image diagnostic device 30. In this regard, the lesion identification information including the lesion identification result confirmed by a doctor in the current examination may also be used.

[0059] In the above embodiment, a part or all of the processing executed by the processing unit 11 of the endoscopic service support system 10 may be performed by the diagnostic imaging device 30. Furthermore, the endoscopic service support system 10 and the diagnostic imaging device 30 may be built in one server.

[0060] Furthermore, some or all of the processing performed by the processing unit 11 of the endoscopic service support system 10 may be executed on a cloud server. For example, the processing of the diagnostic procedure progress pattern generation unit 114 may be executed on a cloud server. In this case, the diagnostic procedure progress pattern generation unit 114 can collect examination history information of multiple patients from multiple endoscopic service support systems 10 installed in the endoscopy departments of multiple medical facilities. The diagnostic procedure progress pattern generation unit 114 creates multiple diagnostic procedure progress pattern information based on the collected multiple examination history information. The diagnostic procedure progress pattern generation unit 114 provides the created multiple diagnostic procedure progress pattern information to each endoscopic service support system 10 installed in each medical facility. In this case, more reliable diagnostic procedure progress pattern information can be created. [Industrial Applicability]

[0061] The present disclosure can be used in endoscopy. [Explanation of symbols]

[0062] 1 Medical support system, 2 Network, 10 Endoscopy work support system, 11 Processing unit, 111 Lesion identification information acquisition unit, 112 Examination history information acquisition unit, 113 Recommended treatment information output unit, 114 Diagnostic treatment progress pattern generation unit, 115 Recommended treatment display control unit, 116 Report output unit, 12 Memory unit, 121 Examination history information storage unit, 122 Diagnostic treatment progress pattern storage unit, 13 Communication unit, 14 Console unit, 20 Endoscopy system, 21 Endoscope, 22 Endoscopy processing device, 23 Display device, 24 Light source device, 30 Diagnostic imaging device

Claims

1. A medical support system, At least one processor having hardware; a storage unit that stores at least examination history information of an endoscopic examination of a patient to be examined and examination history information of an endoscopic examination of a reference patient other than the patient to be examined, The at least one processor executes a program to Obtain lesion identification information including the identification result of the lesion confirmed in the current endoscopic examination of the subject patient; Obtaining from the storage unit examination history information including examination types, examination intervals, and lesion identification results from the diagnosis history of past endoscopic examinations of the patient to be examined; apply the lesion identification information and the examination history information to predetermined criteria including the examination type, the examination interval, and the lesion identification result contained in the examination history information of the reference patient, and output recommended treatment information including recommended treatment for the lesion identification result confirmed in the current endoscopic examination; Medical support system.

2. The medical support system according to claim 1, the predetermined determination criteria are determination criteria that include, as conditions, the examination type, the examination interval, and the lesion identification result, which are included in the examination history information of the reference patient of the past endoscopic examinations stored in the storage unit. Medical support system.

3. The medical support system according to claim 1, The examination history information of the reference patient includes diagnosis information of lesions confirmed in past endoscopic examinations and treatment information performed on the diagnosed lesions. Medical support system.

4. The medical support system according to claim 1, By executing the program, the at least one processor selects, as the predetermined criterion, examination history information of a reference patient having examination history information that matches or is similar to the conditions of the examination history information of the test subject patient and the lesion identification information of the current endoscopic examination from among the examination history information of a plurality of reference patients, and outputs treatment information corresponding to the lesion identification information of the current endoscopic examination that is included in the examination history information of the selected reference patient as the recommended treatment information. Medical support system.

5. The medical support system according to claim 1, the predetermined criteria are defined by statistical information of test history information of a plurality of the reference patients; Medical support system.

6. The medical support system according to claim 5, The at least one processor executes the program, aggregating the examination history information of the plurality of reference patients stored in the storage unit by progress pattern to generate a plurality of pieces of diagnostic treatment progress pattern information, and storing the generated plurality of pieces of diagnostic treatment progress pattern information in the storage unit; From the plurality of pieces of diagnostic treatment progress pattern information stored in the storage unit, diagnostic treatment progress pattern information that matches or is similar to the conditions of the examination history information of the patient to be examined and the lesion identification information of the current endoscopic examination is selected as the predetermined judgment criterion, and treatment information that corresponds to the lesion identification information of the current endoscopic examination included in the selected diagnostic treatment progress pattern information is output as the recommended treatment information. Medical support system.

7. 7. The medical support system according to claim 6, The plurality of pieces of diagnostic treatment progress pattern information include a counted number of patients; When there are a plurality of pieces of diagnostic treatment progress pattern information that match the conditions of the examination history information of the patient to be examined and the lesion identification information of the current endoscopic examination, the at least one processor executes the program to select the diagnostic treatment progress pattern information that has the largest number of patients tallied. Medical support system.

8. The medical support system according to claim 4, the test history information of the plurality of reference patients includes test interval information; By executing the program, the at least one processor selects, from the examination history information of the plurality of reference patients, examination history information of a reference patient having diagnostic information, examination interval information, and treatment information of a past endoscopic examination that matches or is similar to the conditions of the diagnostic information, examination interval information, and treatment information of a past endoscopic examination of the examination target patient and the lesion identification information of the current endoscopic examination, as the predetermined judgment criterion. Medical support system.

9. The medical support system according to claim 1, the at least one processor executes the program to acquire lesion identification information including an identification result of a lesion detected based on image recognition by an image diagnostic device during an endoscopic examination of the subject patient. Medical support system.

10. The medical support system according to claim 1, the at least one processor executes the program to superimpose the recommended treatment information on an endoscopic image of the patient being examined, which is displayed in real time on a monitor. Medical support system.

11. The medical support system according to claim 10, The at least one processor executes the program, outputting an inspection report containing information to be passed on based on the recommended measures; Medical support system.

12. A method for operating a medical support system, comprising: The medical support system includes: Obtain lesion identification information including the identification result of the lesion confirmed in the current endoscopic examination of the patient to be examined; Obtaining examination history information including the examination type, examination interval, and lesion identification results from the diagnosis history of past endoscopic examinations of the patient to be examined; apply the lesion identification information and the examination history information to predetermined criteria including the examination type, the examination interval, and the lesion identification result contained in the examination history information of a reference patient other than the patient to be examined, and output recommended treatment information including recommended treatment for the lesion identification result confirmed in the current endoscopic examination; A method for operating a medical support system.

13. A process of acquiring lesion identification information including the identification result of the lesion confirmed in the current endoscopic examination of the patient to be examined; A process of acquiring examination history information including the examination type, examination interval, and lesion identification results from the diagnosis history of past endoscopic examinations of the patient to be examined; a process of applying the lesion identification information and the examination history information to predetermined criteria including the examination type, the examination interval, and the lesion identification result contained in the examination history information of a reference patient other than the patient to be examined, and outputting recommended treatment information including a recommended treatment for the lesion identification result confirmed in the current endoscopic examination; A storage medium that stores a program that causes a computer to execute the above.

14. 1. A medical control device, comprising: At least one processor having hardware; a storage unit that stores at least examination history information of an endoscopic examination of a patient to be examined and examination history information of an endoscopic examination of a reference patient other than the patient to be examined, The at least one processor executes a program to Obtain lesion identification information including the identification result of the lesion confirmed in the current endoscopic examination of the subject patient; Obtaining from the storage unit examination history information including examination types, examination intervals, and lesion identification results from the diagnosis history of past endoscopic examinations of the patient to be examined; apply the lesion identification information and the examination history information to predetermined criteria including the examination type, the examination interval, and the lesion identification result contained in the examination history information of the reference patient, and output recommended treatment information including recommended treatment for the lesion identification result confirmed in the current endoscopic examination; Medical control devices.

15. 15. The medical control device of claim 14, the predetermined determination criteria are determination criteria that include, as conditions, the examination type, the examination interval, and the lesion identification result, which are included in the examination history information of the reference patient of the past endoscopic examinations stored in the storage unit. Medical control devices.

16. 15. The medical control device of claim 14, The examination history information of the reference patient includes diagnosis information of lesions confirmed in past endoscopic examinations and treatment information performed on the diagnosed lesions. Medical control devices.

17. 15. The medical control device of claim 14, the predetermined criteria are defined by statistical information of test history information of a plurality of the reference patients; Medical control devices.

18. 15. The medical control device of claim 14, The at least one processor executes the program, aggregating the examination history information of the plurality of reference patients stored in the storage unit by progress pattern to generate a plurality of pieces of diagnostic treatment progress pattern information, and storing the generated plurality of pieces of diagnostic treatment progress pattern information in the storage unit; From the plurality of pieces of diagnostic treatment progress pattern information stored in the storage unit, diagnostic treatment progress pattern information that matches or is similar to the conditions of the examination history information of the patient to be examined and the lesion identification information of the current endoscopic examination is selected as the predetermined judgment criterion, and treatment information that corresponds to the lesion identification information of the current endoscopic examination included in the selected diagnostic treatment progress pattern information is output as the recommended treatment information. Medical control devices.

19. 20. The medical control device of claim 18, The plurality of pieces of diagnostic treatment progress pattern information include a counted number of patients; When there are a plurality of pieces of diagnostic treatment progress pattern information that match the conditions of the examination history information of the patient to be examined and the lesion identification information of the current endoscopic examination, the at least one processor executes the program to select the diagnostic treatment progress pattern information that has the largest number of patients tallied. Medical control devices.

20. 15. The medical control device of claim 14, the test history information of the plurality of reference patients includes test interval information; By executing the program, the at least one processor selects, from the examination history information of the plurality of reference patients, examination history information of a reference patient having diagnostic information, examination interval information, and treatment information of a past endoscopic examination that matches or is similar to the conditions of the diagnostic information, examination interval information, and treatment information of a past endoscopic examination of the examination target patient and the lesion identification information of the current endoscopic examination, as the predetermined judgment criterion. Medical control devices.

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