AI-orchestrated workflow automation in cloud-based hospital information systems: Enhancing efficiency and patient outcomes

Cheruku, Venkateswara Reddi (2025) AI-orchestrated workflow automation in cloud-based hospital information systems: Enhancing efficiency and patient outcomes. World Journal of Advanced Research and Reviews, 26 (2). pp. 1544-1554. ISSN 2581-9615

This technical article explores the integration of artificial intelligence technologies into enterprise-grade Hospital Information Systems and Electronic Medical Record platforms to automate clinical and administrative workflows. As healthcare organizations face increasing pressure to improve operational efficiency while enhancing patient care quality, AI-orchestrated workflow automation emerges as a transformative approach. The article examines the technical architecture, implementation challenges, and measurable benefits of these systems, highlighting successful deployments across various healthcare settings through detailed case studies. From intelligent triage to revenue cycle optimization, these AI-enabled systems demonstrate significant potential to reduce administrative burden, enhance clinical decision-making, and improve patient outcomes while addressing longstanding inefficiencies in healthcare delivery.