Research on the Innovation of Community Smart Elderly Medical Service Model Based on Health Big Data
Published Online: Mar 19, 2025
Received: Oct 15, 2024
Accepted: Feb 05, 2025
DOI: https://doi.org/10.2478/amns-2025-0396
Keywords
© 2025 Lizhi Hu et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Due to the shortage of traditional senior care service practitioners and low medical literacy, the supply generally shows insufficiency, which makes it difficult to meet the expanding demand for professional senior care services. This paper proposes to establish a medical and nursing-information-based senior care service model and reengineer the design of its operation process. Taking the community elderly group in A city as a case study, the intelligence of the elderly industry data of A city was mined. The joint analysis method and DBSCAN clustering algorithm are used to explore the consumption preference of the elderly group for the senior living community, and then the kano model is used to calculate the importance of the demand in order to explore the needs of the elderly in the community senior living service in various aspects, based on which the results of the research combined with the healthcare information service platform to design the system for interaction. Meanwhile, in order to verify the feasibility of this paper’s system in practical application, the designed system was tested in practice. The research results show that medical service and accommodation environment are the two most critical factors influencing consumers to purchase senior living communities, followed by the influence of food service, and the lowest percentage is recreational activities. The KANO model’s demand degree calculations show that user-expected demand is the main focus of the system design. In addition, the difference between the effect of traditional technology and the way of this paper’s system for business processing speed in the online channel is not large, and there is only a difference of 0.09s in terms of the mean value. In contrast, in the offline scenario, there is a significant decrease in the reception efficiency of the elderly for the traditional technology, with a gap of 1.3s, while the service system of this paper has a significant improvement, confirming the feasibility and effectiveness of the designed system.
