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November 8, 2025INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTOpen Access

Enhancing the Patient Safety by using the Explainable Artificial Intelligence in Pharmacovigilance

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Authors

MRMegha Rani RaigondSGS. Ganesh

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Overview

Artificial intelligence identifies adverse drug reactions in patient data, suggesting improved drug safety outcomes.

Key Points

  • Adverse drug reactions were identified using artificial intelligence techniques, enhancing patient safety.
  • The model achieved an accuracy of 82% in predicting side effects from patient data.
  • Analysis leverages the Health Improvement Network database to extract drug interaction data.
  • Improvements in pharmacovigilance may reduce drug withdrawals and support public health initiatives.

Cite This Study

Raigond et al. (2025) studied this question.

synapsesocial.com/papers/690e8b75a5b062d7a4e738dbhttps://doi.org/10.55041/ijsrem53455
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