Canon Medical Systems Corporation

Keita Mitsumori

Yasuhito Nagai

Yosuke Yanagida

Yasuyuki Miyoshi

Hayato Konishi

Taisuke Iwamura

A medical information processing apparatus includes processing circuitry. The processing circuitry extracts, from diagnosis/treatment data in which a diagnosis/treatment record of a patient is written, first data indicating the diagnosis/treatment record; extracts a piece of examination data including second data indicating an examination result relevant to the first data, from one or more pieces of examination data in each of which an examination result of the patient is written; judges a correspondence relationship between an item included in the extracted first data and an item included in the second data of the extracted piece of examination data; and causes the diagnosis/treatment data and the extracted piece of examination data to be displayed on mutually the same screen, and also causes the items determined as having the correspondence relationship with each other to be displayed in an identifiable manner.

Medical information processing apparatus and medical information processing method

A medical information processing apparatus according to an embodiment includes a processing circuitry. The processing circuitry sets, as a finding, an item related to diagnosis of a subject; disposes, in an identical screen in accordance with the finding, each display region for displaying a piece of medical data related to diagnosis of the subject; and displays the medical data extracted from a first facility in the display region for displaying the medical data and displays the lacked medical data extracted from a second facility, together with information that identifies the second facility from which the extraction is made, in the display region for displaying the lacked medical data.

A medical information processing apparatus according to an embodiment includes a processing circuitry. The processing circuitry is configured: to distribute, to an information processing apparatus provided at each of a plurality of medical institutions, a program for causing a machine learning process to be executed by using medical data held at the medical institution having the information processing apparatus; to receive, from each of the information processing apparatuses, a change amount in a parameter related to the machine learning process, regarding a change caused in conjunction with the execution of the machine learning process; to adjust a value of the parameter on the basis of the received change amount; and to transmit the adjusted parameter to each of the information processing apparatuses to cause the machine learning process to be executed on the basis of the parameter.

Medical information processing apparatus and medical information processing system

According to one embodiment, a task assignment supporting apparatus includes processing circuitry. The processing circuitry manages types of image reading preferences indicating types of image reading tasks preferred by each radiologist. The processing circuitry acquires an image reading order and a type of image reading order indicating a type of image reading task required for the image reading order. The processing circuitry assigns to the image reading order a radiologist with a type of image reading preference corresponding to the type of image reading order.

Task assignment supporting apparatus, task assignment supporting system, and task assignment supporting method

A medical information processing apparatus according to an embodiment includes a processing circuitry. The processing circuitry is configured: to evaluate each of a plurality of machine learning models on a basis of an output result from each of the machine learning models obtained by inputting mutually the same medical data to the machine learning models and success/failure judgment results on the output results, the plurality of machine learning models being created from a plurality of pieces of medical data and either created from at least partially mutually-different medical data or created under mutually-different parameter conditions; and to cause results of the evaluation on the machine learning models to be displayed in such a manner that comparison is possible.

A medical information processing apparatus according to an embodiment includes processing circuitry and a hardware display device. The processing circuitry generates a plurality of sets of virtual patient information in each of which patient attribute information, at least one medical action, at least one medical event, and at least one test result are associated with one another; receives a user's operation of selecting one of the sets of virtual patient information; and causes the hardware display device to display the event and the medical action included in the selected piece of virtual patient information in time series. The hardware display device displays, under control of the processing circuitry, the event and the medical action included in the selected piece of virtual patient information in time series.

Medical information processing apparatus

A medical information processing apparatus according to an embodiment includes: a memory storing therein a trained model provided with a function to specify, on the basis of input information including a medical image and medical examination information related to the medical image, at least one selected from between a relevant image relevant to the medical image and an image processing process performed on the basis of the medical image; and processing circuitry configured to give an evaluation to at least one selected from between the relevant image and the image processing process specified by the trained model.

A medical data managing apparatus includes processing circuitry. The processing circuitry generates network access data based on patient information of a patient. The processing circuitry acquires the reference data from a data generating device via a communication network constructed based on the network access data, and checks the reference data against benchmark data included in the patient information. The processing circuitry acquires, when it is determined that the reference data and the benchmark data represent same patient as a result of the check, the multiple non-DICOM data from the data generating device via the constructed communication network. The processing circuitry classifies each of the multiple non-DICOM data into first non-DICOM data to be registered in a data archive apparatus or other second non-DICOM data, and displays the first non-DICOM data and the second non-DICOM data on a display in different display modes.

Growing community of inventors

Nasushiobara, Japan

Keita Mitsumori