The Impact of Artificial Intelligence on the Health Industry: General Framework on Non-clinical Applications

Abstract

This chapter provides the general framework for a basic introduction to non-clinical applications of artificial intelligence (AI) in the healthcare industry. All activities related to patient care that are not observable in the disease treatment process can be referred to as non-clinical healthcare activities. The healthcare industry appears as a top priority in almost every subject in both advanced and emerging countries around the world. Therefore, this book is planned with the aim of closely examining and contributing to the dynamics of the healthcare sector, which has such a strategic importance and social impact. In this respect, Volume 1 covers non-clinical applications of AI and, as a next step, Volume 2 will provide information on the impact of AI on clinical implications. In this context, a wide range of topics will be described, from health big data and the characteristics of the health big data production process to key processes related to health service delivery, quality and accreditation. While the health industry is large in scale, it also has a very complex structure in terms of its operations, services and technologies. For this reason, it is one of the sectors expected to internalize and exploit technological advances most quickly. AI, which is contributing to revolutionary innovations in technological development, is spreading widely through intelligent tools with different algorithms based on machine learning and deep learning techniques. While the applications of artificial intelligence have benefits, they also pose challenges. The topics discussed in this book attempt to open the discussion on all aspects of AI with a balanced approach based on the literature. It provides value-added recommendations for public health management that should be considered in the development of health policies needed to improve service standards and quality, especially in the healthcare industry and the healthcare supply chain process.

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