Review Papers | Pharmacy | India | Volume 11 Issue 6, June 2022
Neha Nangare | A B. Velhal
Abstract: Regulations are a common way for governments to exert control over the activities of individuals, businesses, and communities in order to promote the common good. Regulations can be for any area of society, such as environmental wellness, such as water or air quality, public health, or data privacy for internet safety. They can, however, be produced by various entities with overlapping jurisdictions, resulting in widespread confusion, misunderstanding, and inaction. AI has the ability to play a significant role in assisting various stakeholders in better understanding existing regulations, their gaps and duplications, and recommending methods to strengthen them in order to streamline decision-making. Regulation Intelligence is the term we use to describe the difficulty of enabling improved comprehension of regulations. Pharmaceutical companies all across the world have long struggled with the massive amount of data they must manage. These can be described as the twin issues of manually researching changing regulatory requirements to ensure better compliance and decreasing rework as a result of departmental silos within the business and the lack of readily available historical information. These two difficulties result in lower operational efficiency, as well as more time, effort, and expense. This paper examines how these issues might be addressed comprehensively by adopting a technology-centric approach to developing a smart regulatory compliance solution. This solution will be able to deliver actionable insights and support precise, easily accessible, and contextual information, allowing for on-demand access to literature.
Keywords: Regulatory intelligence
Edition: Volume 11 Issue 6, June 2022,
Pages: 1188 - 1190
How to Cite this Article?
Neha Nangare, A B. Velhal, "Regulatory Intelligence", International Journal of Science and Research (IJSR), Volume 11 Issue 6, June 2022, pp. 1188-1190, https://www.ijsr.net/get_abstract.php?paper_id=MR22617205617
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