Employing bibliometrics and natural language processing (NLP) to analyse real-world applications of adverse drug reaction.

ABSTRACT:

Introduction

Adverse Drug Reactions (ADRs) pose significant health and economic burdens, yet underreporting and inconsistent standards persist. Digital health innovations, particularly mobile and web-based ADR reporting applications, offer potential to enhance pharmacovigilance by improving data accuracy and patient-reported outcomes.

Objectives

The study provides a comprehensive mapping of ADR mobile and web application literature, analysing publication trends, key contributors, and core themes through bibliometric and NLP-based content analysis.

Methods

A systematic two-stage approach was applied to 289 Web of Science articles on ADR reporting applications. Bibliometric analysis explored publication trends, co-authorship networks, and keyword occurrences, while NLP-

SUBMITTER: Dsouza VS 

PROVIDER: S-EPMC11979945 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature