US 12,283,370 B2
Facility presentation apparatus, facility presentation method and recording medium
Masahiro Hayashitani, Tokyo (JP); Masahiro Kubo, Tokyo (JP); Akihiko Shibano, Tokyo (JP); Takayuki Banno, Tokyo (JP); Junichi Yahara, Tokyo (JP); Akira Yamauchi, Tokyo (JP); Hideyuki Taketa, Tokyo (JP); and Kento Soma, Tokyo (JP)
Assigned to NEC CORPORATION, Tokyo (JP); and NEC Solution Innovators, Ltd., Tokyo (JP)
Appl. No. 18/007,763
Filed by NEC Corporation, Tokyo (JP); and NEC Solution Innovators, Ltd., Tokyo (JP)
PCT Filed Apr. 22, 2021, PCT No. PCT/JP2021/016349
§ 371(c)(1), (2) Date Dec. 2, 2022,
PCT Pub. No. WO2021/246083, PCT Pub. Date Dec. 9, 2021.
Claims priority of application No. 2020-097593 (JP), filed on Jun. 4, 2020.
Prior Publication US 2023/0230682 A1, Jul. 20, 2023
Int. Cl. G16H 40/20 (2018.01); G16H 10/60 (2018.01)
CPC G16H 40/20 (2018.01) [G16H 10/60 (2018.01)] 9 Claims
OG exemplary drawing
 
1. A facility presentation apparatus comprising:
at least one memory storing instructions; and
at least one processor configured to execute the instructions to:
determine a recommended medical checkup and a reservation-ready date and time when a facility presentation request is input from a user through a user interface;
allow a model learned by using machine learning to output recommended facility information for supporting decision-making of the user related to a recommended facility by inputting information about the recommended medical checkup, wherein the recommended facility information includes at least a name of the recommended facility;
display a user interface including a display field indicating a name of the recommended facility the a display field indicating the reservation-ready date and time for the recommended facility, the user interface operable by a medical checkup target person to obtain agreement of a medical checkup target person on use of medical chart data of the medical checkup target person by the recommended facility;
notify a designated facility that the medical checkup target person will take the recommended medical checkup when the user designates one recommended facility as the designated facility where the medical checkup target person will take the recommended medical checkup, through the user interface; and
allow at least one of transmission of the medical chart data to the designated facility through a communication network and access to the medical chart data using an API (Application Program Interface) by the designated facility, when the medical checkup target person agrees to the use of the medical chart data by the designated facility, wherein
the model learned by using machine learning is set with at least one of a weight and a bias of a neural network so as to reduce an error between the recommended facility information output when learning data is input and ground truth information,
the learning data includes
medical checkup information indicating a medical checkup that is related to healthcare and that is intended to be performed on the medical checkup target person,
medical checkup facility information related to a plurality of medical checkup facilities at each of which the recommended medical checkup can be performed,
and the medical chart data, and
the ground truth information is information regarding the medical checkup facility that is desired to be selected as the recommended facility, and is generated in association with the learning data.