Blockchain Types in Patient Health Records Systems: An Analysis of Risk Perceptions

Abstract

A thorough analysis of the various blockchain types is necessary for the successful application of blockchain technology in healthcare to reduce emerging risks properly. The main challenges include energy consumption, consensus protocols, network transparency, software alterations, hardware specifications, and privacy, all of which need to be carefully considered. This study examines the correlation between different blockchain types used in Blockchain-based Personal Health Record Systems and their respective implications on emerging risks such as technical, operational, privacy, regulatory, and security risks. Key challenges impacting blockchain adoptions in healthcare are identified and examined through a quantitative research methodology that collects insights from globally recognized experts on blockchain-based PHR systems. ANOVA and univariate analysis were used to explore the data and identify the relationship between risk categories and blockchain types. The study reveals that public blockchain platforms generally exhibit higher perceived risks across all categories compared to other platform types, with hybrid and consortium platforms also demonstrating higher risk perceptions for most categories. In contrast, private platforms show comparatively lower risk perceptions.

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