Research on the Construction of a Smart Disability Assistance Service Platform from the Perspective of Digital and Intelligent Integration

This paper introduces the “Smart Welfare for the Disabled” comprehensive service platform developed by the “Digital Intelligence for Warmth” service team of Rizhao Polytechnic. The platform utilizes big data and AI technologies, integrating five major application scenarios: Sunshine Disability Assistance, Children’s Rehabilitation Assistance, Disability Certificate Processing, Village Disability Association Services, and Welfare Data for the Disabled. It significantly improves the efficiency and satisfaction of disability services. Through WeChat mini-programs and PC backend management, the platform provides comprehensive service and management functions for disabled individuals, government departments, and social organizations. In the promotion and application in Rizhao City, the platform has achieved efficient online processing of disability-related services, significantly reducing processing time, the number of trips, and the amount of required materials, thereby greatly enhancing work efficiency and service quality. This paper elaborates in detail on the system requirements analysis, architectural design, implementation of core functions, and the effects of promotion and application of the platform, demonstrating the remarkable achievements of the platform in optimizing the service processes and enhancing the service quality.

Authors

Institutions

Publication Details

Published
2025-04-12
DOI
https://doi.org/10.1109/es64449.2025.11136536
Primary Topic
Medical Research and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on the Construction of a Smart Disability Assistance Service Platform from the Perspective of Digital and Intelligent Integration

Di Zhu, Wenwen Sheng, Mingzhe Guo
Medical Research and Treatments
article

Research on the Construction of a Smart Disability Assistance Service Platform from the Perspective of Digital and Intelligent Integration

Di Zhu, Wenwen Sheng, Mingzhe Guo
article en

Abstract

This paper introduces the “Smart Welfare for the Disabled” comprehensive service platform developed by the “Digital Intelligence for Warmth” service team of Rizhao Polytechnic. The platform utilizes big data and AI technologies, integrating five major application scenarios: Sunshine Disability Assistance, Children’s Rehabilitation Assistance, Disability Certificate Processing, Village Disability Association Services, and Welfare Data for the Disabled. It significantly improves the efficiency and satisfaction of disability services. Through WeChat mini-programs and PC backend management, the platform provides comprehensive service and management functions for disabled individuals, government departments, and social organizations. In the promotion and application in Rizhao City, the platform has achieved efficient online processing of disability-related services, significantly reducing processing time, the number of trips, and the amount of required materials, thereby greatly enhancing work efficiency and service quality. This paper elaborates in detail on the system requirements analysis, architectural design, implementation of core functions, and the effects of promotion and application of the platform, demonstrating the remarkable achievements of the platform in optimizing the service processes and enhancing the service quality.

People’s Hospital of Rizhao (CN)
Reduced inequalities
Openalex Percentile: Top 64%
Medical Research and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.