Artificial Intelligence
Why and How it is Revolutionizing Healthcare Management
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- Description
- Contents
- About
Artificial intelligence (AI) has the potential to drastically change healthcare, including the optimisation of time and materials for clinical tasks (efficiency), and more accurate diagnose detection (effectiveness). However, these clinical-based AI applications are still in very early development stages.
Investigating the wide range of applications of AI in both community and hospital care settings, and along the patient care pathway, the chapters here focus on applications capable of contributing to the workflow and management of the activities to be provided. The impact of AI in solving the main issues of modern medicine is discussed, such as reorganization of services towards patient-centricity, management of task shifting and skills mix, greater competitiveness between public and private sector, and financing mechanisms. Difficulties that may arise during the implementation of AI in an organization are addressed, including practical solutions, providing a practical guide for managers, clinical leaders and policy makers.
Artificial Intelligence: Why and How it is Revolutionizing Healthcare Management identifies a roadmap for the appropriate introduction of artificial intelligence in healthcare organizations that responds to the need of decision-makers and managers to have a clear picture of how to move in the developing field of AI.
More than a preface—Reflections on artificial intelligence and health management: what we know, what we don’t know, and what we should know; Federico Lega
- Chapter 1. Introduction to Artificial Intelligence in Healthcare; Elena Maggioni and Francesco Mazziotta
- Chapter 2. Artificial Intelligence and Healthcareare Applications; Elvira Buijs, Elena Maggioni, and Gianpaolo Carrafiello
- Chapter 3. AI applications in the New Era of Healthcare and Community Care; Elvira Buijs and Elena Maggioni
- Chapter 4. Key Emerging AI Developments in Healthcareare; Elena Maggioni and Francesco Mazziotta
- Chapter 5. A Guide to Implementing AI in the Workflow; Federico Lega and Elvira Buijs
- Afterword: Why AI is relevant for clinical leaders; Gianpaolo Carrafiello and Elvira Buijs
Elvira Buijs is a medical doctor and resident training in Radiology at the University of Milan, Italy, and expert in strategy and management consulting for healthcare.
Elena Maggioni is Fellow Researcher in Health Administration at the Research Center in Health Administration (HEAD) of University of Milan, Italy.
Francesco Mazziotta is a medical doctor and resident specializing in Hygiene and Preventive Medicine at the University of Milan, Italy.
Gianpaolo Carrafiello is Full Professor in Radiology at the University of Milan, Italy.
Federico Lega is Full Professor of Health Administration at the Public Health Department at the University of Milan, Italy, where he leads the Research Center in Health Administration (HEAD). He’s the President of the European Healthcare Management Association (EHMA), and chair of its scientific advisory committee.