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Algorithm management optimization: Intelligent series algorithm management in healthcare

10.30.26 | Bentham Science Publishers

Artificial intelligence and data-driven technologies are creating new opportunities to improve healthcare management, resource allocation, and clinical decision-making. Algorithm Management Optimization: Intelligent Series Algorithm Management in Healthcare: Optimization, Security and Scalable Solutions examines how intelligent algorithms can enhance operational efficiency, strengthen data security, and support effective healthcare delivery.

About the Book

This book explores the design, implementation, and governance of intelligent algorithmic systems in healthcare. Across ten chapters, it covers patient flow optimization, workforce planning, AI-driven resource allocation, cloud computing, and performance benchmarking. It also examines epidemic prediction, genomic analytics, blockchain-based security for electronic health records, algorithm lifecycle management, and ethical considerations in medical AI.

By connecting artificial intelligence, healthcare informatics, and operations management, the volume offers insights into developing efficient, secure, and scalable healthcare systems.

Key Features

Intelligent algorithms for hospital management and patient flow optimization.

AI- and cloud-based strategies for healthcare resource allocation.

Performance benchmarking and automated monitoring systems.

Block chain-based security for electronic health records.

Scalable architectures for public health and emergency response.

Algorithm governance, risk management, and ethical considerations.

Readership

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

About the Editors

Dr. Abhishek Kumar is an Assistant Director and Professor at Chandigarh University, India. He has published over 220 works and edited more than 110 books.

Dr. Pramod Singh Rathore is affiliated with Manipal University Jaipur, India. With over 15 years of teaching experience, he has published more than 115 papers and is a Senior Member of IEEE.

Kumari Lipi is an advocate and intellectual property attorney specializing in patents, copyrights, designs, and trademarks. She is Managing Partner of Akhildev IPR and Research Services.

Dr. Sachin Ahuja is Executive Director of Engineering at Chandigarh University, India. His research contributions include artificial intelligence, machine learning, and data mining.

Dr. 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 the book to learn how intelligent algorithm management can contribute to more efficient, secure, and scalable healthcare systems.

Book Link: https://bit.ly/3WBur5v

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, October 30). Algorithm management optimization: Intelligent series algorithm management in healthcare. Brightsurf News. https://www.brightsurf.com/news/L3R6ZEQ8/algorithm-management-optimization-intelligent-series-algorithm-management-in-healthcare.html
MLA:
"Algorithm management optimization: Intelligent series algorithm management in healthcare." Brightsurf News, Oct. 30 2026, https://www.brightsurf.com/news/L3R6ZEQ8/algorithm-management-optimization-intelligent-series-algorithm-management-in-healthcare.html.