The unit manager must be able to deal with a wide range of tasks in the course of the day. These could range from compiling a duty roster, writing a unit procedure, compiling an emergency plan, preparing an annual budget or answering a legal question. The unit manager must also be able to manage a team of healthcare professionals, be able to lead and motivate the team, and organise the unit so that it functions effectively and in line with the institution's vision and mission. In addition, the unit manager must be able to keep control of supplies and equipment in the unit, which must be kept in good working order and replaced when necessary. All of these aspects are covered in Introduction to health services management for the unit manager, fourth edition.

This updated and improved edition of Healthcare Service Management presents the latest best practice guidelines related to the management of a healthcare organisation. The text examines those aspects of management that are specific to healthcare institutions, including health-related legislation, common law, and ethics. In addition to fulfilling the needs of the nursing student and lecturer, it will serve as a reference on healthcare service management for any practising manager.

This updated and improved edition of Healthcare Service Management presents the latest best practice guidelines related to the management of a healthcare organisation. The text examines aspects of management that are specific to healthcare institutions, including health-related legislation, common law and ethics. In addition to fulfilling the needs of the nursing student and lecturer, it will serve as a reference on healthcare service management for any practising manager.

In Computed Tomography: Algorithms, Insight, and Just Enough Theory, readers will learn about the fundamental computational methods used for image reconstruction in computed tomography (CT). Unique in its emphasis on the interplay of modeling, computing, and algorithm development, the book presents underlying mathematical models for motivating and deriving the basic principles of CT reconstruction methods, along with insight into their advantages, limitations, and computational aspects. Computed Tomography: Algorithms, Insight, and Just Enough Theory: Develops the mathematical and computational aspects of three main classes of reconstruction methods. Emphasizes the link between CT and numerical methods, which is rarely found in current literature. Describes the effects of incomplete data using both microlocal analysis and the singular value decomposition (SVD). Contains computer exercises using MATLAB that allow readers to experiment with the algorithms and make the book suitable for teaching and self-study. This book is aimed at students, researchers, and practitioners. As a textbook, it is appropriate for the following courses: Advanced Numerical Analysis, Special Topics on Numerical Analysis, Topics on Data Science, Topics on Numerical Optimization, and Topics on Approximation Theory.