US 12,367,969 B2
Intelligent healthcare management system, intelligent healthcare management method, and computer-program product
Xinran Li, Beijing (CN); and Yanyang Hu, Beijing (CN)
Assigned to BOE Technology Group Co., Ltd., Beijing (CN)
Appl. No. 17/761,185
Filed by BOE Technology Group Co., Ltd., Beijing (CN)
PCT Filed Jun. 17, 2021, PCT No. PCT/CN2021/100698
§ 371(c)(1), (2) Date Mar. 16, 2022,
PCT Pub. No. WO2022/261903, PCT Pub. Date Dec. 22, 2022.
Prior Publication US 2024/0047048 A1, Feb. 8, 2024
Int. Cl. G16H 40/20 (2018.01)
CPC G16H 40/20 (2018.01) 20 Claims
OG exemplary drawing
 
1. An intelligent healthcare management system, comprising:
a distributed computing system comprising one or more networked computers configured to execute in parallel to perform at least one common task; and
one or more computer readable storage mediums storing instructions that, when executed by the distributed computing system, cause the distributed computing system to execute software modules;
wherein the software modules comprise:
an internet-of-things platform server;
a business server;
a physiological parameter data analysis platform configured to provide one or more user interfaces for point-of-care physiological parameter data collection;
a business-end management platform configured to store and manage historical physiological parameter data of customers associated with a business entity; and
a customer-end personal data management platform configured to manage personal historical physiological parameter data specific for an individual customer;
wherein the internet-of-things platform server and the business server are configured to exchange data between each other;
the internet-of-things platform server is configured to store and manage physiological parameter data measured by an internet-of-things physiological parameter data detector; and
the business server is configured to be in interactive communication with the physiological parameter data analysis platform, the business-end management platform, and the customer-end personal data management platform, respectively;
wherein the customer-end personal data management platform is an applet;
a customer terminal is configured to load a program package of the applet, and execute the program package;
the customer terminal is configured to automatically release a resource occupied by the applet after the applet is disabled; and
the physiological parameter data analysis platform is configured to transmit the physiological parameter data detected by the physiological parameter data analysis platform to the business server, and the business server is configured to transmit the physiological parameter data to the internet-of-things platform server;
wherein the customer-end personal data management platform is further configured to:
display medical or nutritional advice generated for a sub-population having a similar physiological parameter profile;
receive an evaluation from the customer regarding whether the advice helped improve a physiological parameter;
transmit the evaluation to the internet-of-things platform server for incorporation into ongoing big data analysis;
display a time-series visualization of historical physiological parameter data for the customer on the customer terminal;
overlay medical or nutritional advice corresponding to time points along the time-series visualization, thereby enabling the customer to observe physiological trends in relation to advice history; and
display a statistical comparison interface that shows the customer's physiological parameter values relative to reference ranges and statistical distributions from a sub-population classification, thereby enabling the customer to benchmark her data against that of similar individuals.