News Release

Algorithm management optimization: Intelligent series algorithm management in healthcare

Advancing intelligent, secure, and scalable solutions for modern healthcare

Book Announcement

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

  • Explores intelligent algorithms for hospital management and patient flow optimization.
  • Discusses AI, machine learning, and cloud-based resource allocation strategies.
  • Covers performance benchmarking and automated monitoring systems.
  • Examines blockchain-based security for electronic health records.
  • Highlights scalable solutions for public health and emergency response.
  • Addresses algorithm governance, risk management, and ethical considerations.

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


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