Blockchain-enabled cross-chain collaboration model for elderly health information from a whole process perspective

Area of Science:

• Gerontology
• Health Informatics
• Blockchain Technology

Background:

• Increasing demand for elderly health services due to demographic shifts (aging population, declining birth rates).
• Existing data silos between medical and elderly care sectors hinder comprehensive health information utilization.
• Difficulty in providing integrated, whole-process services combining medical health and elderly care.

Purpose of the Study:

• To address the challenge of poor collaborative utilization of elderly healthcare information.
• To study the contexts required for effective elderly health information collaboration.
• To develop a blockchain-enabled cross-chain model for integrated elderly health and care information.

Main Methods:

• Literature review and field research to identify collaboration contexts.
• Application of system theory and component-based modular design.
• Exploration of information chain structures, elements, and interactions.
• Development of a blockchain-enabled cross-chain collaboration model using virtual chain logic.

Main Results:

• A novel blockchain-enabled cross-chain collaboration model for elderly health information was developed.
• The model facilitates easy implementation, high throughput, and robust privacy protection.
• Demonstrated applicability and flexibility for whole-process, cross-chain collaboration of elderly health information.

Conclusions:

• The proposed model effectively enables cross-chain collaboration of elderly health information.
• This approach supports integrated elderly care by bridging medical and social care data gaps.
• The solution enhances the provision of comprehensive, whole-process services for the elderly.