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Secure and Scalable mHealth Data Management Using Blockchain Combined With Client Hashchain: System Design and

Tomomitsu Motohashi¹, Tomonobu Hirano¹, Kosuke Okumura¹

¹SUSMED, Inc, Tokyo, Japan.

Journal of Medical Internet Research

|May 18, 2019

Summary

This summary is machine-generated.

This study introduces a secure mobile health (mHealth) system using blockchain technology and client hashchains. The system ensures data reliability and scalability for medical practice, validated in insomnia treatment trials.

Keywords:

blockchain client hashchain clinical trial electronic health records mobile health

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Area of Science:

Digital Health
Blockchain Technology
Data Security

Background:

Blockchain offers secure, fault-tolerant, and tamper-resistant data management for medical practice.
Mobile health (mHealth) systems can leverage blockchain for enhanced data reliability without third-party intermediaries.
Challenges include ensuring data reliability before blockchain registration and authenticating mobile devices.

Purpose of the Study:

To design and validate an mHealth system integrating blockchain for secure and scalable medical data management.
To address the compatibility of security and scalability in mHealth data handling.

Main Methods:

Developed an mHealth system transmitting medical data via relay servers to a blockchain network.
Implemented client-side hashchain calculations on mobile devices to ensure data reliability.
Registered hash values and data on the blockchain for enhanced security and operational convenience.

Main Results:

The mHealth system was successfully deployed for insomnia treatment, registering patient data on the blockchain.
Client hashchains were effectively utilized to validate data integrity.
The system demonstrated effectiveness in identifying fraudulent data through simulated access.

Conclusions:

The proposed mHealth system, combining blockchain with client hashchain, achieves compatible security and scalability.
This approach enhances the reliability and integrity of medical data within mHealth applications.