MEDICAL FACILITY EVALUATION APPARATUS, MEDICAL FACILITY EVALUATION METHOD, AND COMPUTER PROGRAM

    公开(公告)号:US20220398522A1

    公开(公告)日:2022-12-15

    申请号:US17771909

    申请日:2019-11-01

    Abstract: A medical facility evaluation apparatus includes: an acquisition unit that obtains a quantitatively measured evaluation information about a medical facility that is a candidate of a transfer destination of a patient; and a calculation unit that calculates a score indicating goodness of fit of the medical facility as the transfer destination with respect to the patient, on the basis of the evaluation information. According to this medical facility evaluation apparatus, scoring based on the quantitatively measured evaluation information makes it possible to find a medical facility with high goodness of fit as a transfer destination of a patient.

    TRANSFER DESTINATION DETERMINATION SYSTEM, TRANSFER DESTINATION DETERMINATION METHOD, AND TRANSFER DESTINATION DETERMINATION PROGRAM

    公开(公告)号:US20200258617A1

    公开(公告)日:2020-08-13

    申请号:US16756637

    申请日:2018-09-20

    Abstract: A first prediction unit 81 predicts a transfer destination of a target patient, based on inputted information on the target patient and a first prediction model for prediction of a transfer destination of a patient. A second prediction unit 82 predicts a treatment completion period of the target patient, based on information on the target patient and a second prediction model for prediction of a treatment completion period of a patient. An acquisition unit 83 acquires facility information including an operation status of each facility. A determination unit 84 determines a facility that satisfies a requirement of a transfer destination from among the facilities, based on the facility information that has been acquired and the transfer destination and the treatment completion period that have been predicted. An output unit 85 outputs a result determined by the determination unit 84.

    PACKET TRANSFER SYSTEM, CONTROL DEVICE, CONTROL METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM
    15.
    发明申请
    PACKET TRANSFER SYSTEM, CONTROL DEVICE, CONTROL METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM 审中-公开
    分组传输系统,控制装置,控制方法和非中继计算机可读介质

    公开(公告)号:US20160150301A1

    公开(公告)日:2016-05-26

    申请号:US14904173

    申请日:2014-03-04

    Abstract: A packet transfer system includes a packet transfer unit (1) that transfers a packet between a first route and a second route, an electric buffer (2) that electrically stores and transfers the packet between the packet transfer unit (1) and the second route, and a power control unit (3) that controls power of the electric buffer (2) in accordance with traffic flowing through the electric buffer (2). It is thereby possible to provide a packet transfer system, a control device, a control method, and a non-transitory computer-readable medium storing a control program capable of achieving lower energy consumption.

    Abstract translation: 分组传送系统包括在第一路由和第二路由之间传送分组的分组传送单元(1),在分组传送单元(1)和第二路由之间电存储和传送分组的电缓存器(2) ,以及根据流过所述电动缓冲器(2)的业务来控制所述电动缓冲器(2)的电力的功率控制单元(3)。 因此,可以提供一种存储能够实现更低能耗的控制程序的分组传送系统,控制装置,控制方法和非暂时性计算机可读介质。

    INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM

    公开(公告)号:US20250078999A1

    公开(公告)日:2025-03-06

    申请号:US18288866

    申请日:2023-01-12

    Abstract: An information processing device 100 of the present disclosure includes a data acquisition unit 121 and a data selection unit 122. The data acquisition unit 121 acquires biological data measured from a person whose state related to agitation is to be determined, and a determination result of the state by a determiner with respect to the person. The data selection unit 122 selects learning data from the biological data on the basis of a skill value and the determination result. The skill value represents the ability of determining the state and is set for the determiner. Selection of the learning data is optimized by the data selection unit 122 of the present disclosure.

    DATA MANAGEMENT SYSTEM, DATA MANAGEMENT METHOD, AND RECORDING MEDIUM FOR DATA MANAGEMENT PROGRAM

    公开(公告)号:US20210074413A1

    公开(公告)日:2021-03-11

    申请号:US16643319

    申请日:2018-08-22

    Abstract: A data management system is provided with: a storage unit for storing examination information including at least an examination item, an examination location, a consultation location, and a required examination time, the examination item including examination names of a plurality of examinations; an acquisition unit for acquiring patient information relating to severity and an identifier for identifying the patient to be examined; a calculation unit for calculating, in accordance with the patient, the necessary travel time for traveling from the examination location or consultation location at which a completed examination or consultation was performed to the next examination location or consultation location at which the next examination or consultation subsequent to the examination or consultation is to be performed, based on the patient information and the examination information; and a generating unit for generating a patient examination schedule based on the examination information, the patient information, and the travel time.

    MEDICAL INFORMATION PROCESSING SYSTEM
    20.
    发明申请

    公开(公告)号:US20200350061A1

    公开(公告)日:2020-11-05

    申请号:US16643342

    申请日:2018-08-22

    Abstract: A medical information processing system comprises: an input unit that receives input of electronic chart information for a patient being treated; a machine learning unit that refers to an electronic chart information group for each patient, the information group being obtained on the basis of an inpatient of an acute care facility, and performs machine learning about the discharge destination, from the acute care facility, of each patient; and a discharge-destination prediction unit that predicts the discharge destination of the patient being treated from the received electronic chart information of the patient being treated, on the basis of the learning results obtained from the machine learning unit.

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