Exploration and Practice of Smart Combination of Medicine and Nursing Service Model

At present, the aging situation in China is becoming increasingly severe. The elderly are facing difficulties in acquiring elderly service and medical care in the process, in which the elderly need digital service of the combination between medical and nursing care urgently. However, there still exist some problems of the combination of medical and nursing care in the present stage, such as imperfect models, low level of intelligence, inefficient integration mechanism of resources related to "medical care" and "nursing care", and the inadequate phenomenon in which the service of combination of medical and nursing care leads to "the castle in the air". In view of the current difficulties and blocking points in the combination of medical and nursing care, the research team of this paper use digital and intelligent methods to construct 5 types of smart medical and nursing service models, including "full chain" "multi-subject integration" "active health" of traditional Chinese medicine, "return to the community" and "return to the home". Furthermore, the research team issused 6 group standards, seted up 2 landmark projects, and established more than 20 demonstration application bases across the country in the meantime as well as incorporate 500 community/township promotion plans of Henan Provincial government, which achieve good demonstration effects. This paper briefly introduces five types of model specifications from four aspects of model conception, model composition, model operation mechanism and model function, so as to facilitate the further study and popularization of the five models.

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-12-01
DOI
https://doi.org/10.12114/j.issn.1007-9572.2023.0211
Primary Topic
Mycorrhizal Fungi and Plant Interactions
Type
article
Field-Weighted Citation Impact
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article

Exploration and Practice of Smart Combination of Medicine and Nursing Service Model

SHILAP Revista de lepidopterología
Mycorrhizal Fungi and Plant Interactions
article

Exploration and Practice of Smart Combination of Medicine and Nursing Service Model

article en

Abstract

At present, the aging situation in China is becoming increasingly severe. The elderly are facing difficulties in acquiring elderly service and medical care in the process, in which the elderly need digital service of the combination between medical and nursing care urgently. However, there still exist some problems of the combination of medical and nursing care in the present stage, such as imperfect models, low level of intelligence, inefficient integration mechanism of resources related to "medical care" and "nursing care", and the inadequate phenomenon in which the service of combination of medical and nursing care leads to "the castle in the air". In view of the current difficulties and blocking points in the combination of medical and nursing care, the research team of this paper use digital and intelligent methods to construct 5 types of smart medical and nursing service models, including "full chain" "multi-subject integration" "active health" of traditional Chinese medicine, "return to the community" and "return to the home". Furthermore, the research team issused 6 group standards, seted up 2 landmark projects, and established more than 20 demonstration application bases across the country in the meantime as well as incorporate 500 community/township promotion plans of Henan Provincial government, which achieve good demonstration effects. This paper briefly introduces five types of model specifications from four aspects of model conception, model composition, model operation mechanism and model function, so as to facilitate the further study and popularization of the five models.

SHILAP Revista de lepidopterología
Openalex Percentile: Top 56%
Mycorrhizal Fungi and Plant Interactions
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Exploration and Practice of Smart Combination of Medicine and Nursing Service Model · SHILAP Revista de lepidopterología (2024) | TGRS Research Map | TGRS