New Book Details AI Algorithms for Optimizing Healthcare Systems

Bentham Science Publishers has announced the release of a new volume titled “Algorithm Management Optimization: Intelligent Series Algorithm Management in Healthcare.” The publication examines the deployment, management, and optimization of intelligent algorithms within modern healthcare systems. It addresses the growing use of artificial intelligence and data-driven technologies that are transforming healthcare management and service delivery. The book explores how intelligent algorithmic systems can improve decision-making, optimize healthcare resources, strengthen data security, and support efficient healthcare operations.

The volume is structured across ten chapters that cover a wide range of applications for adaptive algorithms in hospital management. Specific areas of focus include patient flow optimization, workforce planning, predictive modelling, and AI-driven resource allocation.

Beyond operational efficiency, the book delves into advanced technical domains such as performance benchmarking and automated monitoring systems. It also explores epidemic prediction and genomic analytics. The book examines blockchain-based security for electronic health records.

The editors emphasize the importance of algorithm lifecycle management, risk mitigation, and ethical considerations in medical AI deployment. By combining artificial intelligence, healthcare informatics, and operational management, the volume highlights approaches to developing efficient, secure, and scalable healthcare systems.

The editorial team includes Dr. Abhishek Kumar, 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, from the Department of Computer and Communication Engineering at Manipal University Jaipur, India, brings over 15 years of academic experience and more than 115 research publications to the project.

Additional contributors include Kumari Lipi, an advocate and intellectual property attorney at Akhildev IPR and Research Services, India. She specializes in patents, copyrights, designs, and trademarks. Dr. Sachin Ahuja, affiliated with the University Institute of Engineering at Chandigarh University, India, contributes research in artificial intelligence, machine learning, and data mining. Dr. J. Reyes Juárez Ramírez, a Full Professor at the Universidad Autónoma de Baja California, Mexico, adds expertise in software engineering, human-computer interaction, and quantum computing.

The book is targeted at researchers, academics, students, and professionals in artificial intelligence, machine learning, healthcare informatics, and operations management. It offers insights into cloud-based resource allocation strategies and scalable solutions for public health and emergency response.

The publication reflects the current trend toward intelligent, secure, and scalable solutions for modern healthcare.

Available through Bentham Science Publishers, the book provides a detailed exploration of the intersection between AI and healthcare management.

Subject of Research: Intelligent algorithm management and optimization in healthcare systems

Article Title: Algorithm management optimization: Intelligent series algorithm management in healthcare

Article References: Algorithm management optimization: Intelligent series algorithm management in healthcare. Original publication (Bibliographic details unavailable.)

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Keywords: healthcare informatics, algorithm optimization, AI in healthcare, patient flow optimization, workforce planning, predictive modelling, resource allocation, blockchain security, electronic health records, epidemic prediction, genomic analytics, algorithm governance, risk mitigation, medical AI deployment, cloud computing, operational management, data security, hospital management, intelligent systems, scalable healthcare