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Data Quality And Bias in Health Informatics for Regulated Utilities: Post-Pandemic Lessons

• DevSecOps
• AI
• Supply Chain

Abstract

This dissertation investigates “Data Quality And Bias in Health Informatics for Regulated Utilities: Post-Pandemic Lessons” using a Delphi study. Through a economic lens, the analysis integrates multi-source data to derive an actionable roadmap for researchers and practitioners.