Methodologies for Decision-Making in the Health and Medicine Sector

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Springer Science and Business Media Deutschland GmbH

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The fields of medicine and healthcare have benefited significantly from technological advances, investments, and software in our ever-evolving and transforming world, as they have from these same developments in every other industry. Because of the tremendous strides that have been made in the realm of specialist software in the health industry, the health system has become significantly more technologically advanced and functional. As a consequence of advances in technology, diagnosis and treatment are now more easily available, and favorable outcomes are being achieved with greater frequency. The growth of Artificial Intelligence (AI) technology has resulted in the establishment of ultra-modern medical facilities, such as hospitals and other health institutions. In these hospitals that are getting more and more advanced, robotic surgery techniques are much better than traditional ones. This means that patients can recover faster and have a lower chance of complications. In this chapter, we take a look at the many approaches to decision-making that are utilized in the field of health and medicine. Machine learning, artificial intelligence, the internet of things, deep learning, and natural language processing are just a few of the major methods that are utilized in this discipline. This chapter also delves into the topics of organizational decision-making in healthcare as well as medical decision-making. In addition, the marketing of healthcare services and some of the benefits of using marketing tactics for health services are both covered in this chapter. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.


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Artificial intelligence, Decision-making, Health sector, Healthcare marketing, Machine learning


Studies in Systems, Decision and Control

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