Data Quality And Bias in Metaverse for Hospital Administrators: Post-Pandemic Lessons

Dissertation 4.4

Data Quality And Bias in Metaverse for Hospital Administrators: Post-Pandemic Lessons

Pages

IEEE

Style

~ 38–52 mins

Reading Time

AI Epidemiology Supply Chain

Abstract

This dissertation investigates “Data Quality And Bias in Metaverse for Hospital Administrators: Post-Pandemic Lessons” using a survey-based structural equation modeling. Through a behavioral lens, the analysis integrates multi-source data to derive a practical decision framework for researchers and practitioners.

Download PDF Order Similar Paper Save

Data Quality And Bias in Metaverse for Hospital Administrators: Post-Pandemic Lessons

ABSTRACT

Data Quality And Bias in Metaverse for Hospital Administrators: Post-Pandemic Lessons is unpacked across themes: usability, costs, security, and governance. Limitations and future research paths are noted.

Open full preview

View Full Paper