Data Science in Healthcare

A Complete Guide
1. Auflage 2026
ISBN: 978-1-032-79959-9
Verlag: Taylor & Francis Ltd

Buch, Englisch, 262 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 546 g

Reihe: Chapman & Hall/CRC Data Science Series

Data science is transforming every aspect of modern life, from healthcare and urban planning to finance and governance. This comprehensive book provides an accessible yet rigorous exploration of the principles, methodologies, and applications of data science. It introduces readers to the evolution of data science, the role of artificial intelligence, and the philosophical foundations underpinning data-driven discovery. By bridging theory and practice, this book provides a unique perspective on how data can be harnessed to solve complex, real-world problems.

Unlike other texts, this book integrates technical foundations with ethical, regulatory, and societal considerations. It covers the entire data science lifecycle, from acquisition and processing to advanced analytics, application development, and decision support. Real-world case studies—including a detailed example of using electronic health records in Rwanda—illustrate how data science can drive impact in low- and high-resource settings alike.

Key Features:

- Comprehensive coverage of data science fundamentals, machine learning, and advanced analytics

- In-depth exploration of ethical, governance, and regulatory challenges

- Practical insights into developing applications and decision support systems

- Global case studies demonstrating applied data science in healthcare and public policy

- Clear explanations suitable for multidisciplinary audiences

This book is ideal for students, researchers, and professionals in data science, healthcare, public policy, and technology development. It equips readers with both the technical and ethical tools needed to navigate today’s data-rich world and to leverage data for innovation, problem-solving, and societal good.

Zielgruppe

Postgraduate, Professional Practice & Development, Professional Reference, and Professional Training

Autoren/Hrsg.

Delanerolle, Gayathri

Bouchareb, Yassine

Katsikopoulos, Konstantinos V.

Phiri, Peter

Fachgebiete

• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Gesundheitswirtschaft
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen

Inhaltsverzeichnis

1. An Introduction to Data Science, 2. Data Science and Artificial Intelligence, 3. Ethical Implications and Social Policy, 4. Medical Statistics, 5. Application Development Using Data Science, 6. Governance and Regulatory Approvals, 7. Decision Support

Über Autor(innen)

Dr Gayathri Delanerolle, Senior Clinical Researcher, Southern Health NHS Foundation Trust, UK.

Dr Yassine Bouchareb is a Registered Clinical Scientist, Health Care Professions Council, UK. As well as an Assistant Professor of Medical Physics, College of Medicine and Health Sciences, Sultan Qaboos University, Oman.

Ashish Laxminarayana Shetty, Visiting Professor of Anaesthesiology & Pain Medicine, SSAHE, India. Shetty is also an Honorary Associate Professor, UCL, London and Chief Medical Officer (Pain and Neuromodulation) at NuroKor.

Konstantinos V. Katsikopoulos, Professor of Behavioural Sciences and Founding Co-Director at the Center for Behavioral Experimental Action and Research, University of Southampton, UK.

Peter Phiri, Director of Research & Innovation (Interim), Southern Health NHS Foundation Trust, UK.