Analyzing FDA form 483 data of 2023: Identifying trends and areas of concern in regulatory compliance


Review Article

Author Details : ABM Mahfuz ul Alam*

Volume : 12, Issue : 1, Year : 2024

Article Page : 3-7

https://doi.org/10.18231/j.jpbs.2024.002



Suggest article by email

Get Permission

Abstract

This study scrutinizes a dataset originating from the FDA's Form 483 to discern nuanced trends and areas of concern within the realm of regulatory compliance. The dataset encompasses 1983 observations categorized across ten subparts, allowing for a quantitative evaluation of prevalent issues in each section. Subparts J, F, and I emerge prominently, collectively constituting 53.8% of all observations, indicating their significance in regulatory oversight.The analysis provides specific quantitative values that shed light on the severity and repetition of observed issues. Subpart J stands out with the highest single repetition, registering at 114, suggesting persistent challenges that warrant close attention. Furthermore, the sum of the top three observations, totaling 1067 across Subparts J, F, and I, highlights the cumulative impact of these areas on overall compliance.This quantitative approach contributes to a nuanced understanding of compliance challenges, allowing stakeholders to strategically allocate resources. The study emphasizes the need for targeted interventions, particularly in Subparts J, F, and I, where elevated counts and percentages signal potential systemic issues. The concentration of observations in the top three subparts underscores the importance of collaborative efforts among stakeholders to proactively address and rectify these challenges, fostering sustained improvements in regulatory compliance and upholding the integrity of FDA-regulated products.


Keywords: FDA Form 483; Data Integrity, Data Governance, ALCOA+


How to cite : Alam A M U, Analyzing FDA form 483 data of 2023: Identifying trends and areas of concern in regulatory compliance. J Pharm Biol Sci 2024;12(1):3-7


This is an Open Access (OA) journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.







Article History

Received : 17-01-2024

Accepted : 22-05-2024


View Article

PDF File   Full Text Article


Copyright permission

Get article permission for commercial use

Downlaod

PDF File   XML File   ePub File


Digital Object Identifier (DOI)

Article DOI

https://doi.org/10.18231/j.jpbs.2024.002


Article Metrics






Article Access statistics

Viewed: 458

PDF Downloaded: 111