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World Journal of Advanced Research and Reviews
Article . 2025 . Peer-reviewed
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Article . 2025
License: CC BY
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ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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AI-orchestrated workflow automation in cloud-based hospital information systems: Enhancing efficiency and patient outcomes

Authors: Cheruku, Venkateswara Reddi;

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

Abstract

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.

Keywords

Artificial Intelligence, Healthcare Automation, Cloud Computing, Workflow Optimization, Interoperability

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
gold