Sodobni izzivi implementacije in validacije računalniških sistemov v farmaciji 4.0

The validation of computerized systems in the pharmaceutical industry is increasingly complex due to the rapid advancement of digital technologies. Ensuring compliance with Good Manufacturing Practices (GMP), Good Laboratory Practices (GLP), and data integrity (DI) standards requires structured documentation and adherence to regulatory guidelines, such as GAMP 5. This study explores the leveraging method to optimize validation efforts, reduce redundant testing, and streamline compliance. It also examines the impact of modern technologies, including artificial intelligence (AI), machine learning (ML), blockchain, and cloud computing, on validation processes. The findings highlight both the challenges and opportunities these technologies present in enhancing efficiency, automation, and data security within Pharma 4.0. Ultimately, the research underscores the need for structured, traceable documentation and risk-based approaches to ensure regulatory compliance in an evolving digital landscape.

Authors

Publication Details

Journal
Repository of the University of Ljubljana (University of Ljubljana)
Published
2026-01-19
Primary Topic
Pharmaceutical Quality and Counterfeiting
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sodobni izzivi implementacije in validacije računalniških sistemov v farmaciji 4.0

Mitja Cerovšek, Kristian Peklaj
Repository of the University of Ljubljana (University of Ljubljana)
Pharmaceutical Quality and Counterfeiting
article

Sodobni izzivi implementacije in validacije računalniških sistemov v farmaciji 4.0

Mitja Cerovšek, Kristian Peklaj
article en

Abstract

The validation of computerized systems in the pharmaceutical industry is increasingly complex due to the rapid advancement of digital technologies. Ensuring compliance with Good Manufacturing Practices (GMP), Good Laboratory Practices (GLP), and data integrity (DI) standards requires structured documentation and adherence to regulatory guidelines, such as GAMP 5. This study explores the leveraging method to optimize validation efforts, reduce redundant testing, and streamline compliance. It also examines the impact of modern technologies, including artificial intelligence (AI), machine learning (ML), blockchain, and cloud computing, on validation processes. The findings highlight both the challenges and opportunities these technologies present in enhancing efficiency, automation, and data security within Pharma 4.0. Ultimately, the research underscores the need for structured, traceable documentation and risk-based approaches to ensure regulatory compliance in an evolving digital landscape.

Repository of the University of Ljubljana (University of Ljubljana)
Industry, innovation and infrastructure
Openalex Percentile: Top 82%
Pharmaceutical Quality and Counterfeiting
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.