Human-AI Collaboration in Healthcare: Leveraging Cloud-Based Enterprise Systems for Enhanced Patient Care and Operational Excellence

This article explores the transformative potential of human-AI collaboration in healthcare through cloud-based enterprise systems that integrate Customer Relationship Management, Enterprise Resource Management, and automation platforms. It determines how this technological convergence enhances patient care through personalized treatment protocols driven by predictive analytics while simultaneously optimizing administrative processes and operational workflows. The discussion encompasses the infrastructure requirements for implementing AI-powered healthcare systems, the application of predictive analytics for personalized medicine, administrative efficiency gains through intelligent automation, and the augmentation of clinical decision-making with AI-driven insights. This comprehensive article provides healthcare organizations with a strategic framework for leveraging human-AI partnerships to address contemporary challenges, improve patient outcomes, and create more efficient healthcare delivery systems.

Authors

Institutions

Publication Details

Journal
European Journal of Computer Science and Information Technology
Published
2025-03-15
DOI
https://doi.org/10.37745/ejcsit.2013/vol13n10124136
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Human-AI Collaboration in Healthcare: Leveraging Cloud-Based Enterprise Systems for Enhanced Patient Care and Operational Excellence

Siva Prasad Sunkara
European Journal of Computer Science and Information Technology
Big Data and Business Intelligence
article

Human-AI Collaboration in Healthcare: Leveraging Cloud-Based Enterprise Systems for Enhanced Patient Care and Operational Excellence

Siva Prasad Sunkara
article en

Abstract

This article explores the transformative potential of human-AI collaboration in healthcare through cloud-based enterprise systems that integrate Customer Relationship Management, Enterprise Resource Management, and automation platforms. It determines how this technological convergence enhances patient care through personalized treatment protocols driven by predictive analytics while simultaneously optimizing administrative processes and operational workflows. The discussion encompasses the infrastructure requirements for implementing AI-powered healthcare systems, the application of predictive analytics for personalized medicine, administrative efficiency gains through intelligent automation, and the augmentation of clinical decision-making with AI-driven insights. This comprehensive article provides healthcare organizations with a strategic framework for leveraging human-AI partnerships to address contemporary challenges, improve patient outcomes, and create more efficient healthcare delivery systems.

European Journal of Computer Science and Information TechnologyVol. 13(10)
Microsoft (United States) (US), Microsoft (Finland) (FI)
Openalex Percentile: Top 86%
Big Data and Business Intelligence
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.