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Spatial Computing, which encompasses Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR), has proliferated in healthcare as it reduces medical errors and increases accessibility to healthcare. This systematic literature review explores Spatial Computing in healthcare by addressing key issues. The research investigated factors, opportunities, applications, and barriers of Spatial Computing in healthcare, focusing on enhancements while providing insights into practical implementations. The study aims to advance knowledge of how Spatial Computing can transform healthcare delivery. This study adopted the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) methodology. The search was done on three databases: PubMed, ACM, and Science Direct, yielding 22 articles meeting the final inclusion criteria. The results reveal that surgical applications and education application areas, efficiency and immersion opportunities, cost-related factors, and technological barriers were the most cited. The research underscores the necessity of considering these factors, applications, benefits, and challenges to optimize healthcare improvements. The research findings carry significant implications for all stakeholders, suggesting the need for a model that effectively integrates Spatial Computing.

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Spatial Computing: Towards a Virtual Reality and Augmented Reality Framework in Healthcare

  • 会议论文

  • 发表日期：

    2026年

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  • Emily Ncube,
  • Belinda Ndlovu,
  • Kudakwashe Maguraushe

摘要

Spatial Computing, which encompasses Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR), has proliferated in healthcare as it reduces medical errors and increases accessibility to healthcare. This systematic literature review explores Spatial Computing in healthcare by addressing key issues. The research investigated factors, opportunities, applications, and barriers of Spatial Computing in healthcare, focusing on enhancements while providing insights into practical implementations. The study aims to advance knowledge of how Spatial Computing can transform healthcare delivery. This study adopted the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) methodology. The search was done on three databases: PubMed, ACM, and Science Direct, yielding 22 articles meeting the final inclusion criteria. The results reveal that surgical applications and education application areas, efficiency and immersion opportunities, cost-related factors, and technological barriers were the most cited. The research underscores the necessity of considering these factors, applications, benefits, and challenges to optimize healthcare improvements. The research findings carry significant implications for all stakeholders, suggesting the need for a model that effectively integrates Spatial Computing.