Methodologies for Decision-Making in the Health and Medicine Sector

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dc.contributor.authorNalbant K.G.
dc.contributor.authorAydin S.
dc.date.accessioned2024-03-13T10:01:05Z
dc.date.available2024-03-13T10:01:05Z
dc.date.issued2024
dc.departmentİstanbul Beykent Üniversitesien_US
dc.description.abstractThe 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.en_US
dc.identifier.doi10.1007/978-3-031-46735-6_1
dc.identifier.endpage10en_US
dc.identifier.issn2198-4182
dc.identifier.scopus2-s2.0-85182492131en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage1en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-031-46735-6_1
dc.identifier.urihttps://hdl.handle.net/20.500.12662/2976
dc.identifier.volume513en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.ispartofStudies in Systems, Decision and Controlen_US
dc.relation.publicationcategoryKitap Bölümü - Uluslararasıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial intelligenceen_US
dc.subjectDecision-makingen_US
dc.subjectHealth sectoren_US
dc.subjectHealthcare marketingen_US
dc.subjectMachine learningen_US
dc.titleMethodologies for Decision-Making in the Health and Medicine Sectoren_US
dc.typeBook Chapteren_US

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