Intelligent evaluation method for home-based care service

Abstract

The invention discloses an intelligent evaluation method for home-based care service, and relates to the technical field of care service. The method comprises the following steps: S01, a client performs platform reservation service; s02, the platform assigns professional evaluators to carry out door-to-door evaluation; s03, evaluation is started, the content of each evaluation table is obtained through inquiry, palpation and small tests, and the content is input to the handheld terminal; and S04, the system platform automatically calculates a customer nursing grade, a customer portrait, a health risk, life service recommendation, medical care recommendation, rehabilitation training recommendation, recommendation of articles required by nursing and an aging-suitable transformation scheme by using a platform algorithm according to submitted evaluation data, and meanwhile, the system platform establishes a set of knowledge base in a company through continuous self-learning, and early warning suggestions are provided for occurrence of health risks of customers through big data analysis; s05, the final evaluation report is suggested and generated and is then sent to the customer to obtain an electronic report. According to the method, the home-based care scheme and plan of the client can be accurately and efficiently formulated, accurate and efficient service recommendation and body health condition reports are given, and the client can better understand and understand the related home-based care service scheme.

Description

technical field [0001] The invention belongs to the technical field of elderly care services, and in particular relates to an intelligent evaluation method for home-based elderly care services. Background technique [0002] According to the "2019-2025 China Population Aging Market Research and Development Trend Research Report", according to the internationally accepted classification standard, when a country or region's population aged 65 and over accounts for more than 7%, it means entering the aging process; reaching 14% , for deep aging; more than 20%, then enter the super aging society. Depend on Figure II It can be seen that my country has entered the aging stage at present. In 2020, the proportion of the elderly population aged 65 and above in my country will reach 11.70%, and it is about to enter a deep aging. It is estimated that the proportion of the elderly population aged 65 and above in my country will exceed 20% in 2040, entering super aging society. [0003]...

AI Technical Summary

Problems solved by technology

[0003] The existing home-based elderly care market is large in scale, wide in geographical scope, and scattered in services, making it impossible to achieve unified care and unified management similar to elderly care institutions; on the other hand, according to relevant statistics, China's elderly care industry needs 13 million employees but less 300,000, which further limits the development of the elderly care industry, and the needs of many elderly people cannot be met

[0004] For the existing old-age care model, most of them are offline nursing homes or offline entity old-age care service institutions with a small range of service coverage. For the online integration of resources and dispatching service models, the existing Due to the difficulties of the overall service process and supervision and evaluation, there is no relatively mature technical solution

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