KR-20260066457-A - Method and system for matching customized physical therapist based on artificial intelligence for home-visiting rehabilitation treatment

KR20260066457AKR 20260066457 AKR20260066457 AKR 20260066457AKR-20260066457-A

Abstract

In an AI-based user-customized physical therapist matching method for home-visit rehabilitation, the matching server obtains registration data regarding the physical therapist and the patient from the physical therapist and the patient, obtains authentication data regarding the physical therapist stored in the Ministry of Health and Welfare server, authenticates the physical therapist based on the obtained registration and authentication data, and matches a physical therapist suitable for the patient's rehabilitation area and tendencies by matching a physical therapist suitable for the patient's tendencies and rehabilitation treatment based on the data regarding the authenticated physical therapist and the patient.

Inventors

김병수
채민수
정인용
김록현

Assignees

김병수

Dates

Publication Date: 20260512
Application Date: 20241104

Claims (8)

Regarding an AI-based user-customized physical therapist matching method for home-based rehabilitation, A step of obtaining physical therapist registration data and patient registration data from a matching server; A step of transmitting an authentication request signal to the Ministry of Health and Welfare server requesting authentication data associated with a physical therapist, based on the physical therapist registration data, at the matching server above; A step of obtaining physical therapist authentication data from the Ministry of Health and Welfare server in response to the authentication request signal at the matching server; A step of authenticating a physical therapist who is a user of a physical therapist terminal based on the physical therapist registration data and the physical therapist authentication data at the matching server; and A user-customized physical therapist matching method characterized by including the step of matching a physical therapist of an authenticated physical therapist terminal and a patient of a patient terminal based on the physical therapist registration data and the patient registration data at the matching server.
In Article 1, The above physical therapist registration data includes the physical therapist's name, gender, age, place of residence, physical therapist license, specific rehabilitation specialty, list of completed education, clinical experience, service hours, and desired patient gender, and The above patient registration data includes the patient's name, gender, age, residential area, disability registration card, disease name, desired rehabilitation area, rehabilitation goal, desired service hours, and desired physical therapist's gender, and A user-customized physical therapist matching method characterized by the above physical therapist certification data including the name of the physical therapist registered with the Ministry of Health and Welfare, the physical therapist license, and a list of completed education.
In Article 2, The step of certifying the above physical therapist is A user-customized physical therapist matching method characterized by comparing a physical therapist license included in the above-mentioned physical therapist registration data with a physical therapist license included in the above-mentioned physical therapist certification data, and certifying a physical therapist based on the comparison result.
In Article 2, The step of matching the physical therapist of the above-mentioned authenticated physical therapist terminal and the patient of the patient terminal is A user-customized physical therapist matching method characterized by matching a physical therapist and a patient where all items match for each of the gender, residential area, time, and rehabilitation area categories, or matching the physical therapist and the patient with the most matching items.
In Article 2, The step of matching the physical therapist of the above-mentioned authenticated physical therapist terminal and the patient of the patient terminal is A step of distinguishing the above physical therapist registration data and the above patient registration data into gender, residential area, time, and rehabilitation area items, respectively; A step of calculating similarity for each of the gender, residential area, time, and rehabilitation area items of the above physical therapist registration data and the above patient registration data; and A user-customized physical therapist matching method characterized by including a step of matching a physical therapist and a patient based on similarity calculated for each item.
In Article 5, The step of matching physical therapists and patients based on the similarity calculated for each of the above items Tendency data representing the tendencies of each physical therapist and patient is obtained from the physical therapist terminal, patient terminal (13) and SNS server, and Based on the above propensity data, a weight is calculated for each of the above items, and A user-customized physical therapist matching method characterized by matching a physical therapist and a patient based on the weights calculated above and the similarity for each of the above items.
In Article 6, The above tendency data includes the treatment response style, communication style, and psychological support style of physical therapists and patients, and Calculating weights for each of the above items based on the above propensity data is A user-customized physical therapist matching method characterized by extracting text from the above-mentioned tendency data, generating context features representing the contextual meaning of the extracted text, classifying the extracted text into treatment response style, communication style, and psychological support style based on the generated context features, and calculating weights for each item based on the classified treatment response style, communication style, and psychological support style.
A computer-readable recording medium having a program recorded thereon for performing the method described in any one of claims 1 to 7.

Description

Method and system for matching customized physical therapists based on artificial intelligence for home-visiting rehabilitation treatment This invention relates to an AI-based user-customized physical therapist matching method and system for home-based rehabilitation, and more specifically, to a method and system that analyzes patient and physical therapist information using artificial intelligence and matches a physical therapist suitable for the patient. According to the 2023 statistics on registered persons with disabilities released by the Ministry of Health and Welfare, the number of registered persons with disabilities stood at approximately 2.64 million as of 2023 and is increasing every year. In particular, the proportion of registered persons with disabilities aged 65 or older is steadily rising. Those aged 65 or older number approximately 1.42 million, accounting for more than half of the total. This trend is expected to accelerate further due to rapid population aging. People with disabilities require continuous and regular treatment to prevent the worsening of their conditions and to improve them. However, they face difficulties in receiving timely and consistent treatment due to limitations such as the burden of medical expenses, mobility issues, and a shortage of rehabilitation facilities. The lack of rehabilitation facilities is considered such a major social issue that a new term, "rehabilitation refugees," has emerged to describe patients who are unable to receive rehabilitation services at a single hospital and are forced to move between multiple hospitals for treatment. To address the issue of rehabilitation refugees, the ‘Act on the Guarantee of Health Rights and Medical Accessibility for Persons with Disabilities’ was enacted in 2015, and the government is making various efforts, such as implementing the ‘Pilot Project for Primary Care Physicians for Persons with Disabilities’ in 2018. As one of the aforementioned government efforts, relevant laws and systems are being revised to provide home-based rehabilitation services to persons with disabilities. Although home-based rehabilitation services are being introduced, the issue of "rehabilitation refugees" has not yet been resolved. Existing home-based rehabilitation services are centered around government-run rehabilitation medical institutions, particularly those under the Ministry of Health and Welfare, making them difficult to access. More specifically, because services are provided primarily by these institutions, it is difficult to form home-based rehabilitation teams. Furthermore, existing services assign the physical therapist closest to the patient's location, resulting in a problem where a therapist suited to the patient's specific needs is not assigned. In particular, despite the fact that patients requiring home rehabilitation services are categorized into various types of diseases, there was a problem in that physical therapists matched to provide these services often lacked specialized knowledge regarding the patients' specific conditions. FIG. 1 is a drawing illustrating a user-customized physical therapist matching system according to one embodiment of the present invention. Figure 2 is a configuration diagram of the matching server shown in Figure 1. FIG. 3 is a flowchart of an artificial intelligence-based user-customized physical therapist matching method for home rehabilitation according to one embodiment of the present invention. Figure 4 is a detailed flowchart of the step of matching a physical therapist and a patient as illustrated in Figure 3. The advantages and features of the present disclosure and the methods for achieving them will become clear by referring to the embodiments described below in detail together with the accompanying drawings. However, the technical concept of the present disclosure is not limited to the following embodiments but can be implemented in various different forms. The following embodiments are provided merely to complete the technical concept of the present disclosure and to fully inform those skilled in the art of the scope of the present disclosure, and the technical concept of the present disclosure is defined only by the scope of the claims. It should be noted that when assigning reference numerals to the components of each drawing, the same components are given the same reference numeral whenever possible, even if they are shown in different drawings. Furthermore, in describing the present disclosure, if it is determined that a detailed description of related known components or functions could obscure the essence of the present disclosure, such detailed description is omitted. Unless otherwise defined, all terms used herein (including technical and scientific terms) may be used in a meaning commonly understood by those skilled in the art to which this disclosure pertains. Additionally, terms defined in commonly used dictionaries are not to be interpreted ideally or excessively