Digital Transformation and Data Analytics Applications in the Healthcare Sector
Chapter from the book: Karahüseyinoğlu, F. (ed.) 2025. Research and Development, Innovation, and Sustainable Development through an Interdisciplinary Framework.

Andaç İmak
Munzur University
Ceren Ünlükal
Munzur University
Elifcan Göçmen Polat
Munzur University

Synopsis

With the acceleration of digital transformation in the healthcare sector, artificial intelligence, big data, and digital technologies have become fundamental components of healthcare services. In processing the increasing volume of data, machine learning and deep learning methods provide high accuracy and efficiency in diagnosis, imaging, and treatment processes. AI-based applications offer significant advancements in neuroradiology, oncological and cardiovascular imaging, and dermatology. However, data security, ethical issues, and lack of digital maturity are the main challenges faced by the sector. In conclusion, this study emphasizes that digital transformation in the healthcare sector is not merely a technological change, but also a comprehensive transformation that improves the quality of healthcare delivery, strengthens decision-making processes, and affects all stakeholders. It is stated that creating roadmaps based on digital solutions is a crucial requirement for shaping the future of the healthcare sector.

How to cite this book

İmak, A. & Ünlükal, C. & Göçmen Polat, E. (2025). Digital Transformation and Data Analytics Applications in the Healthcare Sector. In: Karahüseyinoğlu, F. (ed.), Research and Development, Innovation, and Sustainable Development through an Interdisciplinary Framework. Özgür Publications. DOI: https://doi.org/10.58830/ozgur.pub1072.c4240

License

Published

December 30, 2025

DOI