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Volume 10,Issue 3

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26 September 2025

Research on the Supply-Demand Matching Path for Personalized Smart Healthy Aging Services in Dalian under the Context of Integrated Medical and Elderly Care

Yin Cong*
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1 School of Management, Liaoning University of International Business and Economics, Dalian 116000, Liaoning, China
APM 2025 , 10(3), 136–142; https://doi.org/10.18063/APM.v10i3.630
© 2025 by the Author. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

Background: The aging process of China’s population continues to intensify. Changes in family structures have rendered traditional elderly care models unsustainable, posing severe challenges to the national social governance system and public service capabilities. Against this backdrop, the national strategy has successively promoted “Integrated Medical and Elderly Care” and “Smart Eldercare,” aiming to address the aging crisis through technological innovation and resource integration. Dalian, a coastal city in Northeast China characterized by a high degree of aging and relatively well-developed smart city infrastructure, represents a typical yet urgent case for exploring smart healthy aging solutions. Objective: This study aims to systematically analyze the supply structure of smart healthy aging services in Dalian and the current situation of the diversified, multi-level actual demands of the elderly population. It seeks to precisely identify the core issues of the current supply-demand mismatch and, based on this, construct a systematic implementation path and countermeasure framework to achieve precise supply-demand matching. Methods: This research comprehensively utilizes literature review and policy text analysis to analyze the macro background and local practices. Through theoretical deduction and typical case analysis, it defines the demand characteristics of the elderly population and the supply bottlenecks of services. Finally, it employs systems thinking methods for logical reasoning and theoretical model construction. Conclusion: This study is expected to conclude that the supply-demand mismatch in Dalian’s smart healthy aging services is mainly manifested across three dimensions: content, technology, and information. The key to achieving precise matching lies in shifting from a “technology-driven” to a “demand-driven” approach, constructing a multi-level, multi-stakeholder collaborative path model centered on “Precise Identification - Precise Linking - Precise Provision - Precise Governance.” This model can provide theoretical reference and practical action guidelines for Dalian and similar cities to optimize their smart eldercare service systems and enhance service efficacy.

Keywords
Dalian City
Integrated Medical and Elderly Care
Personalized Services
Smart Healthy Aging
Supply-Demand Matching
Funding
University Level Scientific Research Project of Liaoning University of International Business and Ecomonics “Study on the Precision Application Countermeasures of Dalian’s Smart Heath and Elderly Care Services Under the Background of the Integration of Medical and Elderly Care Services” (Project No.: 2023XJLXYB18)
References

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[8] Shi W, Jing L, Liu Z., et al., 2022, Challenges and Countermeasures of Population Aging to the Medical Service System. Health Economics Research, 39(7): 18–20.

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