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    Summary

    This study introduces a blockchain solution to rebuild trust in health product development and digital health data management. Experiments identified transmission and message processing times as key factors affecting blockchain performance.

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    Area of Science:

    • Health Informatics
    • Computer Science

    Background:

    • Declining manufacturer trust impacts health product development and digital health.
    • Patient big data in digital health requires enhanced security and confidentiality.
    • Existing systems face challenges in managing large data flows securely.

    Purpose of the Study:

    • To enhance trust in health product development and digital health systems.
    • To propose a blockchain solution for secure and accessible health data management.
    • To investigate blockchain's impact on Quality of Service (QoS) using a Quality by Design (QbD) approach.

    Main Methods:

    • Implemented a dedicated blockchain solution for automated data storage and access.
    • Focused on the 'time to consensus' attribute impacting blockchain performance.
    • Utilized screening design and surface response design on a practical Byzantine Fault Tolerance (pBFT) simulator.

    Main Results:

    • Identified transmission time as a critical factor affecting blockchain performance.
    • Determined message processing time significantly impacts the time to consensus.
    • Demonstrated that these factors influence the overall Quality of Service in digital health contexts.

    Conclusions:

    • Blockchain can potentially restore trust in health product development.
    • Optimizing transmission and message processing times is crucial for efficient blockchain implementation in digital health.
    • The Quality by Design approach provides a framework for developing robust blockchain solutions for health data.