Ensuring safety and monitoring adverse events in clinical trials: Challenges and innovations

Safety and adverse events (AEs) monitoring in clinical trials are critical to ensuring participant safety and the successful development of new therapies. Effective monitoring not only protects patients but also helps identify any risks associated with the investigational product. This paper elaborates on the methodologies used to detect, categorize, and report adverse events during clinical trials, and how these processes are governed by stringent regulatory frameworks. Additionally, the discussion highlights the role of pharmacovigilance systems, the ethical obligations researchers face in AE reporting, and the technological innovations that are transforming safety monitoring. Challenges, including under-reporting, data variability, and interpretation difficulties, are examined in depth. Ultimately, advancements in real-time data collection, adaptive trial designs, and artificial intelligence (AI) are promising to improve the accuracy and timeliness of adverse event monitoring, shaping the future of clinical research and patient safety.

Authors

Publication Details

Journal
World Journal of Biology Pharmacy and Health Sciences
Published
2024-10-22
DOI
https://doi.org/10.30574/wjbphs.2024.20.1.0798
Citations
1
Primary Topic
Biomedical Ethics and Regulation
Type
article
Field-Weighted Citation Impact
0.33
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ensuring safety and monitoring adverse events in clinical trials: Challenges and innovations

S. Rasheed
1 citations
World Journal of Biology Pharmacy and Health Sciences
Biomedical Ethics and Regulation
0.33
article

Ensuring safety and monitoring adverse events in clinical trials: Challenges and innovations

S. Rasheed
article en
1 citations

Abstract

Safety and adverse events (AEs) monitoring in clinical trials are critical to ensuring participant safety and the successful development of new therapies. Effective monitoring not only protects patients but also helps identify any risks associated with the investigational product. This paper elaborates on the methodologies used to detect, categorize, and report adverse events during clinical trials, and how these processes are governed by stringent regulatory frameworks. Additionally, the discussion highlights the role of pharmacovigilance systems, the ethical obligations researchers face in AE reporting, and the technological innovations that are transforming safety monitoring. Challenges, including under-reporting, data variability, and interpretation difficulties, are examined in depth. Ultimately, advancements in real-time data collection, adaptive trial designs, and artificial intelligence (AI) are promising to improve the accuracy and timeliness of adverse event monitoring, shaping the future of clinical research and patient safety.

World Journal of Biology Pharmacy and Health SciencesVol. 20(1)
Industry, innovation and infrastructure
Openalex Percentile: Top 37%
Biomedical Ethics and Regulation
0.33
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.