Empowering Healthcare Professionals: The Role of Cloud-Native Data Engineering in Human-AI Collaboration

Abstract

This article examines the transformative role of cloud-native data engineering in facilitating human-AI collaboration within healthcare environments. It explores how modern data platforms from major cloud providers enable seamless integration of machine learning models into clinical workflows, supporting healthcare professionals in decision-making while maintaining human judgment as the cornerstone of patient care. The discussion encompasses the technical architecture of healthcare data pipelines, strategies for implementing real-time analytics, and approaches for integrating AI models that complement rather than replace clinical expertise. The article addresses critical challenges, including bias mitigation, data governance, and ethical considerations, advocating for responsible AI deployment that prioritizes patient outcomes. Through the examination of industry case studies and emerging trends, the article provides a comprehensive analysis of how cloud-native technologies are reshaping healthcare delivery while emphasizing the essential partnership between technology innovation and human expertise.