Digital transformation of the pharmaceutical industry: the role of artificial intelligence in pharmacy

Abstract

Background. Digital technologies are transforming the pharmaceutical industry, changing both manufacturing processes and the very approach to the development and use of medicines. Artificial intelligence, machine learning technologies, and deep data analysis algorithms play a key role in the digitalization of pharmacy. Methods. In this literature review, we used systematic and structural analysis; an interdisciplinary approach combining methods of content analysis of scientific literature; study of regulatory documentation; and case-oriented modeling. Results. It has been established that digital technologies have a significant impact on key stages of the drug life cycle in the pharmaceutical industry. However, large-scale digitalization is currently hampered by a number of barriers, which are presented in our work. We propose ways to overcome these limitations (introduction of hybrid architectures, development of international repositories of anonymized data, integration of digital modules into specialist training programs). Conclusion. Digitalization is beginning to shape new principles for the functioning of the pharmaceutical industry. However, comprehensive measures are needed to make a full transition from isolated achievements to sustainable digital transformation.

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