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Algorithm management optimization: Intelligent series algorithm management in healthcare

11.13.26 | Bentham Science Publishers

The growing use of artificial intelligence and data-driven technologies is transforming healthcare management and service delivery. Algorithm Management Optimization: Intelligent Series Algorithm Management in Healthcare explores how intelligent algorithmic systems can improve decision-making, optimize healthcare resources, strengthen data security, and support efficient healthcare operations.

About the Book

This book examines the deployment, management, and optimization of intelligent algorithms in modern healthcare systems. Across ten chapters, it covers adaptive algorithms for hospital management, patient flow optimization, workforce planning, predictive modelling, and AI-driven resource allocation.

It also explores performance benchmarking, automated monitoring, epidemic prediction, genomic analytics, and blockchain-based security for electronic health records. Further discussions address algorithm lifecycle management, risk mitigation, and ethical considerations in medical AI deployment.

Combining artificial intelligence, healthcare informatics, and operational management, this volume highlights approaches to developing efficient, secure, and scalable healthcare systems.

Key Features

Readership

Researchers, academics, students, and professionals in artificial intelligence, machine learning, healthcare informatics, and operations management.

About the Editors

Dr. Abhishek Kumar is affiliated with the Department of Computer Science at Chandigarh University, India. He has published over 220 research works and edited more than 110 academic books.

Dr. Pramod Singh Rathore is affiliated with the Department of Computer and Communication Engineering at Manipal University Jaipur, India. He has over 15 years of academic experience and more than 115 research publications.

Kumari Lipi is an advocate and intellectual property attorney at Akhildev IPR and Research Services, India, specializing in patents, copyrights, designs, and trademarks.

Dr. Sachin Ahuja is affiliated with the University Institute of Engineering at Chandigarh University, India. His research contributions include artificial intelligence, machine learning, and data mining.

Dr. J. Reyes Juárez Ramírez is a Full Professor at the Universidad Autónoma de Baja California, Mexico. His research interests include software engineering, human-computer interaction, and quantum computing.

Discover the Book

Explore how intelligent algorithm management can contribute to more efficient, secure, and scalable healthcare systems.

Get the book: https://bit.ly/4eqKxVW

10.2174/97988988171761260101

Keywords

Article Information

Contact Information

Noman Akbar
Bentham Science Publishers
nomanakbar@benthamscience.net

Source

This article is based on a news release from Bentham Science Publishers. BrightSurf curates and republishes science news from research institutions worldwide; the original release is linked below.

How to Cite This Article

APA:
Bentham Science Publishers. (2026, November 13). Algorithm management optimization: Intelligent series algorithm management in healthcare. Brightsurf News. https://www.brightsurf.com/news/86ZMNVG8/algorithm-management-optimization-intelligent-series-algorithm-management-in-healthcare.html
MLA:
"Algorithm management optimization: Intelligent series algorithm management in healthcare." Brightsurf News, Nov. 13 2026, https://www.brightsurf.com/news/86ZMNVG8/algorithm-management-optimization-intelligent-series-algorithm-management-in-healthcare.html.