Meta-Gamofy: Automated Metaverse Gaming for Healthcare Conditions

Document Type

Review

Publication Date

1-1-2026

Abstract

In the current era of advanced digital technology, real-time digital communication is deeply ingrained in everyday life due to enhanced media connectivity, which leverages advanced technology for wellness, especially healthcare. Disease diagnosis and treatment depend on performance indices that use cognitive, visual, and psychometric data to evaluate functions. This includes analyzing multi-tracking, detection, field of view, endurance, and accuracy, which help evaluate game-driven holistic cognitive effects via the virtual path identifier function. Metaverse brings the existing game-based treatment to unprecedented connivance by removing the geographical barrier, which enhances patient education, especially psychological therapies, just like training to handle phobias. This technology provides a virtual environment personalized by AI-enabled predictive analytics for explaining complex procedures in patient treatment plans. Such virtual consulting integrates with the real-time data of healthcare for virtual assessment and scheduled clinical trials. However, the emergence of such developments impacts the lifecycle of data protection, privacy preservation, and security. Hence, to enhance the security features, this paper discusses the use of blockchain technology coupled with the metaverse to tackle security challenges. In addition, this paper articulates the taxonomy of assessing health conditions using metaverse gaming techniques with security, laying the structure and organization for this survey. Moreover, this paper addresses potential issues related to current evaluation processes, focusing on data privacy, security aspects, and outlining possible solutions. The paper substantially explores the open research problems that could guide future research directions and developments in meta-gamify, referring to gamification within the metaverse in healthcare.

Publication Title

Clinical Anatomy

ISSN

08973806

DOI

10.1002/ca.70136

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