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Challenges in Risk Analysis in Pharmaceutical Process Control for Data Security in the Health Sector
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Author(s): Maria Tereza Sousa Silva (Bio-Manguinhos, Fiocruz, Brazil), Erica Louro da Fonseca (Bio-Manguinhos, Fiocruz, Brazil), Zulmira Hartz (Institute of Hygiene and Tropical Medicine (IHMT), Global Health and Tropical Medicine (GHMT), University NOVA of Lisbon, Portugal)and Jorge Magalhães (Institute of Hygiene and Tropical Medicine (IHMT), Global Health and Tropical Medicine (GHMT), University NOVA of Lisbon, Portugal)
Copyright: 2021
Pages: 12
Source title:
Handbook of Research on Digital Transformation and Challenges to Data Security and Privacy
Source Author(s)/Editor(s): Pedro Fernandes Anunciação (Polytechnic Institute of Setúbal, Portugal), Cláudio Roberto Magalhães Pessoa (Escola de Engenharia de Minas Gerais, Brazil)and George Leal Jamil (Informações em Rede Consultoria e Treinamento, Brazil)
DOI: 10.4018/978-1-7998-4201-9.ch020
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Abstract
The informational and digital era of big data brings with it the challenge of knowledge management. There is a need for better management, protection, and security of these data, as well as the respective validation. It is imperative to develop new technologies for data security and their respective implementation in any organizations. In this way, this chapter presents a blueprint in a pharmaceutical industry with the aim at proposing a risk analysis of digital data use during quality control. It is worth mentioning the age of knowledge, the intellectual capital plays an important role in economics and business. A key to competitiveness and, therefore, to economic development in technology runs through a robust process that demonstrates perpetual security for its digital transformation and the respective control in a process ensured by quality assurance. Thus, this implies that time and human resources in organizations are not infinite.
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