KR-20260067015-A - METHOD AND SYSTEM FOR OPTIMAL CARE SERVICE MATCHING THROUGH AI-BASED DEMAND FORECASTING

Abstract

A method and system for matching optimal care services through AI-based demand forecasting are disclosed. The optimal care service matching method may include the step of collecting data related to a care recipient; the step of identifying the time when the care recipient needs care using the data through a machine learning model; and the step of calculating the dispatch time of a care manager by considering the care manager's schedule and the time when care needs care.

Inventors

• 양진홍
• 김가윤

Assignees

• 인제대학교 산학협력단

Dates

Publication Date

20260512

Application Date

20241105

Claims (15)

1. In a method for matching optimal care services of a computer device comprising at least one processor, A step of collecting data related to a care recipient by the above-mentioned at least one processor; A step of identifying the time when the care recipient needs care using the data through a machine learning model by the above at least one processor; and A step of calculating the dispatch time of a caregiver by the above-mentioned at least one processor, taking into account the caregiver's schedule and the time when care is needed. An optimal care service matching method including
2. In paragraph 1, The above-mentioned collecting step is, A step of collecting lifestyle data, including the behavioral patterns, movement paths, and sleep habits of the care recipient, through a sensor network installed in the care recipient's living space. An optimal care service matching method including
3. In paragraph 1, The above-mentioned collecting step is, A step of collecting biometric data, including the heart rate, blood pressure, and body temperature of the care recipient, through a sensor network installed in the care recipient's living space. An optimal care service matching method including
4. In paragraph 1, The above-mentioned collecting step is, A step of collecting environmental information, including indoor temperature and humidity of the living space, through a sensor network installed in the living space of the care recipient. An optimal care service matching method including
5. In paragraph 1, The above identification step is, A step of identifying the point in time when care is needed through a model learned from the normal behavioral patterns and biosignals of the care recipient. An optimal care service matching method including
6. In paragraph 1, The above identification step is, A step of determining whether care services are needed by comparing the above data with a predefined threshold. An optimal care service matching method including
7. In paragraph 1, The above identification step is, A step of performing a demand forecast for care services based on the service usage patterns, voucher usage records, hospital/clinic usage records, and medication-related information of the care recipient mentioned above. An optimal care service matching method including
8. In paragraph 1, The above calculation step is, A step of calculating the service hours available to the care recipient based on the care recipient using care service voucher information. An optimal care service matching method including
9. In paragraph 1, The above calculation step is, Step of creating a dispatch schedule considering the location, area of expertise, and availability of the aforementioned caregiver An optimal care service matching method including
10. In paragraph 1, The above calculation step is, A step of assigning a matching-based schedule with the care recipient based on the preferred work hours and location information registered by the care manager. An optimal care service matching method including
11. In paragraph 1, The above calculation step is, A step of assigning a matching-based schedule with the care recipient based on the care service type and restrictions registered by the care manager. An optimal care service matching method including
12. In paragraph 1, The above optimal care service matching method is, A step of updating an algorithm or threshold for care matching based on feedback from at least one of the care recipient and the care manager by the above at least one processor. An optimal care service matching method that further includes
13. At least one processor implemented to execute readable instructions on a computer device Includes, The above-mentioned at least one processor is, The process of collecting data related to care recipients; A process of identifying the point in time when the care recipient needs care using the above data through a machine learning model; and The process of calculating the dispatch time of the said caregiver by considering the caregiver's schedule and the aforementioned time when care is needed. A computer device that processes.
14. In Paragraph 13, The above-mentioned at least one processor is, Identifying the point in time when care is needed through a model learned from the normal behavioral patterns and vital signs of the care recipient. A computer device characterized by
15. In Paragraph 13, The above-mentioned at least one processor is, Performing demand forecasting for care services based on the service usage patterns, voucher usage records, hospital/clinic usage records, and medication-related information of the aforementioned care recipient. A computer device characterized by

Description

Method and System for Optimal Care Service Matching Through AI-Based Demand Forecasting The following description concerns care service matching technology. This patent was created as part of the New Industry Intellectual Property Convergence Talent Development Project under the Ministry of Education's University Innovation Support Program. The market for customized care services for the elderly is continuously expanding. Based on the 2024 budget of the Ministry of Health and Welfare, the number of dedicated social workers increased from 2,149 to 2,292, and the number of living support workers increased from 34,375 to 36,667, an increase of 143 and 2,292 respectively compared to last year. However, the proportion of elderly people aged 65 or older receiving customized care services decreased from 5.8% in 2023 to 5.5%, which did not sufficiently reflect the 5.3% increase in the elderly population. In addition, the unit price of service per elderly person was also set at 6,000 won, the same as last year, without reflecting the inflation rate. As the care service market grows, there is an increasing need for a platform that can appropriately match supply and demand and meet mutual needs. For example, as the demand market expands from C2C (customer-to-customer) to B2C (business-to-customer) and beyond to B2B (business-to-business), there is a need for a system that can provide a venue for the supply and demand of jobs in the care service sector and facilitate optimal job matching. As an example of care service matching technology, Korean Published Patent No. 10-2022-0160342 (published on December 6, 2022) discloses a technology that extracts specific patterns regarding a user from big data related to care services through machine learning (deep learning) and then matches a care service worker suitable for the user based on the extracted specific patterns. FIG. 1 is a block diagram illustrating an example of the internal configuration of a computer device in an embodiment of the present invention. FIG. 2 illustrates the overall architecture of an optimal care service matching system in one embodiment of the present invention. FIG. 3 illustrates an example of a process for calculating the dispatch time of a care manager in an embodiment of the present invention. FIG. 4 illustrates an example of a care worker schedule registration process in an embodiment of the present invention. Hereinafter, embodiments of the present invention will be described in detail with reference to the attached drawings. Embodiments of the present invention relate to care service matching technology. Embodiments including those specifically disclosed in this specification can optimize the supply of care workers based on predicted demand through predictive analysis and resource optimization. An optimal care service matching system according to embodiments of the present invention may be implemented by at least one computer device, and an optimal care service matching method according to embodiments of the present invention may be performed through at least one computer device included in the optimal care service matching system. At this time, a computer program according to an embodiment of the present invention may be installed and run on the computer device, and the computer device may perform an optimal care service matching method according to embodiments of the present invention under the control of the run computer program. The above-described computer program may be stored on a computer-readable recording medium to be combined with the computer device to execute the optimal care service matching method on the computer. FIG. 1 is a block diagram illustrating an example of a computer device according to an embodiment of the present invention. For example, an optimal care service matching system according to embodiments of the present invention can be implemented by a computer device (100) illustrated in FIG. 1. As illustrated in FIG. 1, the computer device (100) may include a memory (110), a processor (120), a communication interface (130), and an input/output interface (140) as components for executing an optimal care service matching method according to embodiments of the present invention. Memory (110) is a computer-readable recording medium and may include a non-perishable mass storage device such as RAM (random access memory), ROM (read only memory), and a disk drive. Here, a non-perishable mass storage device such as a ROM and a disk drive may be included in the computer device (100) as a separate permanent storage device distinct from memory (110). Additionally, an operating system and at least one program code may be stored in memory (110). These software components may be loaded into memory (110) from a computer-readable recording medium separate from memory (110). This separate computer-readable recording medium may include a computer-readable recording medium such as a floppy drive, disk, tape, DVD/CD-ROM drive, or memory