Abstract: According to one embodiment, a medical information display apparatus includes processing circuitry. The processing circuitry displays first medical information over a first period along a first time axis and second medical information over a second period along a second time axis, acquires time information at a time point or in a range designated in the first period about the first medical information displayed, decides a position on the second time axis which corresponds to the time information, and displays an indicator indicating the position in an area displaying the second medical information.

Abstract: According to one embodiment, a medical examination assistance apparatus includes processing circuitry. The processing circuitry outputs presence/absence of pre-detection for an adverse event at respective time points when a pre-detection model for an adverse event is applied to time-series medical examination data multiple times. The processing circuitry classifies a detection event of the pre-detection model, into a plurality of patterns each defined by a combination of presence/absence of the pre-detection of an adverse event and presence/absence of a medical event related to the adverse event. The processing circuitry calculates a performance indicator for evaluating the pre-detection model based on the number of instances of each pattern.

Abstract: In general, according to the present embodiment, a supporting apparatus includes processing circuitry. The processing circuitry extracts attributes concerning a plurality of medical examination data items of a patient, classifies the medical examination data items into a first group and a second group based on the attributes, and generates a display screen that displays the classified medical examination data items on a common time axis in display forms distinguishable between the groups.

Abstract: A medical information processing apparatus according to an embodiment includes processing circuitry. The processing circuitry acquires a first diagnostic result by a clinical decision support system before learning of first data, a second diagnostic result by the clinical decision support system after learning of the first data, a diagnostic result by a doctor, and the first data. The processing circuitry extracts an example that is subjected to an influence of updating of the clinical decision support system by a prescribed criterion or more as an example to be presented. The processing circuitry outputs the example to be presented in association with a diagnosis influence degree indicator indicating a degree of an influence that the clinical decision support system exerts on diagnosis by the doctor.

Abstract: According to one embodiment, a medical information processing apparatus includes processing circuitry. The processing circuitry acquires monitoring data of a patient. The processing circuitry calculates a personal condition level for a physical condition of the patient using the monitoring data. The processing circuitry calculates a level of need for intervention indicative of a degree of need for a medical intervention for the patient, based on the personal condition level and a group condition level for a patient group including the patient. The processing circuitry determines whether or not the level of need for intervention of the patient satisfies a predetermined condition.

Abstract: According to one embodiment, a medical examination assistance apparatus includes processing circuitry. The processing circuitry outputs presence/absence of pre-detection for an adverse event at respective time points when a pre-detection model for an adverse event is applied to time-series medical examination data multiple times. The processing circuitry classifies a detection event of the pre-detection model, into a plurality of patterns each defined by a combination of presence/absence of the pre-detection of an adverse event and presence/absence of a medical event related to the adverse event. The processing circuitry calculates a performance indicator for evaluating the pre-detection model based on the number of instances of each pattern.

Abstract: In general, according to the present embodiment, a supporting apparatus includes processing circuitry. The processing circuitry extracts attributes concerning a plurality of medical examination data items of a patient, classifies the medical examination data items into a first group and a second group based on the attributes, and generates a display screen that displays the classified medical examination data items on a common time axis in display forms distinguishable between the groups.

Abstract: According to one embodiment, a medical information display apparatus includes processing circuitry. The processing circuitry acquires patient identification information for identifying a patient in whom an event as a determination index in a medical treatment has occurred and time information representing a time associated with the event from medical treatment information of a plurality of patients, generates mapping data by mapping one or more icons associated with the event along a common time axis based on the plurality of pieces of patient identification information and the plurality of pieces of time information so as to make the icons identifiable for each patient, and displays the mapping data on a display.

Abstract: According to one embodiment, a medical information display apparatus includes processing circuitry. The processing circuitry displays first medical information over a first period along a first time axis and second medical information over a second period along a second time axis, acquires time information at a time point or in a range designated in the first period about the first medical information displayed, decides a position on the second time axis which corresponds to the time information, and displays an indicator indicating the position in an area displaying the second medical information.

Abstract: A medical information processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to obtain, from among medical data related to subjects, medical data in a specific time period at or earlier than a previous point in time that is earlier by a predetermined length of time than a time of occurrence of a predetermined state change in the subjects. The processing circuitry is further configured to generate, on the basis of information about the medical data in the specific time period, learning-purpose data used for generating a learned model configured to output information about the predetermined state change in a subject being subject to a prediction that may occur at a time later by the predetermined length of time than a time at which a medical service is provided for the subject.