Evidence map›Paper›PMID 39931995›Full record

ReviewCurrent drug safety2025

Pharmacovigilance - Technological Advancements, Recent Developments and Innovations.

Virendra S Gomase

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current drug safety, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Virendra S GomaseS.P. Mandali's Prin. L. N. Welingkar Institute of Management Development & Research, Mumbai, 400019, India.ORCID 0000-0003-2454-1779

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pharmacovigilance is an important subject in medicine and healthcare, which aims to prevent side effects and other drug-related problems by identifying, evaluating, understanding, and avoiding them. Its main objectives are ensuring that a drug's benefits balance its hazards and improving patient safety. Within medicine and healthcare, pharmacovigilance is an essential subject that focuses on identifying, evaluating, comprehending, and preventing side effects or any other issues associated with drugs. Its main objective is to improve patient safety and ensure a drug's advantages exceed its drawbacks. Pharmacovigilance has evolved significantly as a result of technological advancements, enabling more efficient medication, safety monitoring, and management. The combination of machine learning (ML) with artificial intelligence (AI) for data analysis, adverse reaction prediction, and signal detection, electronic health records (EHRs), and mobile health (mHealth) applications have enhanced real-time data collecting and expedited the reporting of adverse drug reactions (ADRs). Pharmacovigilance plays an important role which focuses on detecting, assessing, comprehending, and averting adverse medication reactions. Making sure a drug's advantages outweigh its disadvantages is its main objective to improve patient safety. Pharmacovigilance, which balances patient safety, efficacy, and regulatory compliance in clinical trials, is necessary to promote the safe and effective use of drugs.

Indexed as

Adverse Drug Reaction Reporting SystemsDrug-Related Side Effects and Adverse ReactionsPharmacovigilanceArtificial IntelligenceElectronic Health RecordsHumansMachine LearningPatient SafetyTelemedicineADRsartificial intelligence.global and national frameworksmachine learningPharmacovigilancerecent developmentsregulatory compliancetechnological advancements

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.