Unlock potential of artificial intelligence and blockchain integration for preserving privacy and medical data: high-fidelity data sharing and healthcare analytics lensing legal aspects

Abstract

The personal health data sharing is made possible by mobile and wearable technology. It has a tremendous and growing value for healthcare, helping both providers of care and medical research. The enhancement of engagement and collaboration within the healthcare business depends on the secure and convenient sharing of personal health data. This chapter proposes an innovative user-centric health data sharing solution using a decentralized and permissioned blockchain to protect privacy using channel formation scheme and enhance identity management using the membership service. It is supported by the blockchain in response to the potential privacy issues and vulnerabilities existing in current personal health data storage and sharing systems as well as the concept of self-sovereign data ownership. Secure data sharing and collaboration in healthcare analytics are essential components to harness the power of data for informed decision-making and improved patient outcomes while maintaining patient privacy and data security. Achieving this delicate balance requires a combination of technological solutions, legal frameworks, and best practices to ensure that sensitive healthcare data is shared and analyzed in a secure and ethical manner. For the purpose of exchanging health information with healthcare professionals and health insurance providers, a mobile application is used to gather data from medical equipment, wearable personal gadgets, manual input, and other sources. Each record has a proof of integrity and validation that can be permanently retrieved from a cloud database and is anchored to the blockchain network in order to protect the integrity of health data. In addition, to handle massive data sets of personal health data collected and uploaded via the mobile platform, we utilize a tree-based data processing and batching mechanism for scalability and performance concerns.

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