The Future of CMC Regulatory Submissions: Streamlining Activities Using Structured Content and Data Management.
Artificial intelligence
Automation
Database(s)
Machine learning
Regulatory science
Standards
Journal
Journal of pharmaceutical sciences
ISSN: 1520-6017
Titre abrégé: J Pharm Sci
Pays: United States
ID NLM: 2985195R
Informations de publication
Date de publication:
05 2022
05 2022
Historique:
received:
26
08
2021
revised:
29
09
2021
accepted:
29
09
2021
pubmed:
6
10
2021
medline:
21
4
2022
entrez:
5
10
2021
Statut:
ppublish
Résumé
Recent advancements in data engineering, data science, and secure cloud storage can transform the current state of global Chemistry, Manufacturing, and Controls (CMC) regulatory activities to automated online digital processes. Modernizing regulatory activities will facilitate simultaneous global submissions and concurrent collaborative reviews, significantly reducing global licensing timelines and variability in globally registered product details. This article describes advancements made within the pharmaceutical industry from theoretical concepts to utilization of structured content and data in CMC submissions. The term Structured Content and Data Management (SCDM) outlines the end-to-end scientific data lifecycle from capture in source systems, aggregation into a consolidated repository, and transformation into semantically structured blocks with metadata defining relationships between scientific data and business contexts. Automation of regulatory authoring (termed Structured Content Authoring) is feasible because SCDM makes data both human and machine readable. It will offer health authorities access to the digital data beyond the current standard of PDF documents and, for a review process, SCDM would "enrich the effectiveness, efficiency, and consistency of regulatory quality oversight" (Yu et al., 2019). SCDM is a novel solution for content and data management in regulatory submissions and can enable faster access to critical therapies worldwide.
Identifiants
pubmed: 34610323
pii: S0022-3549(21)00532-3
doi: 10.1016/j.xphs.2021.09.046
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
1232-1244Informations de copyright
Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.