An OMOP-CDM based pharmacovigilance data-processing pipeline (PDP) providing active surveillance for ADR signal detection from real-world data sources.

Author: LeeSuehyun, ShinHyunah

Paper Details 
Original Abstract of the Article :
Adverse drug reactions (ADRs) are regarded as a major cause of death and a major contributor to public health costs. For the active surveillance of drug safety, the use of real-world data and real-world evidence as part of the overall pharmacovigilance process is important. In this regard, many stud...See full text at original site
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引用元:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8130307/

データ提供:米国国立医学図書館(NLM)

Pharmacovigilance: Harnessing Real-World Data for Drug Safety

Adverse drug reactions (ADRs) are a significant concern for public health, potentially leading to serious complications and healthcare costs. This research explores the use of real-world data, specifically electronic health records (EHR) and spontaneous reporting systems (SRS), to enhance pharmacovigilance, the process of monitoring drug safety. The authors developed a pharmacovigilance data-processing pipeline (PDP) that utilizes both EHR and SRS data to identify potential ADR signals. This approach aims to improve the detection of ADRs and enhance the safety of drug use. The PDP can help identify potential drug-related adverse events and trigger further investigation, potentially leading to safer drug use and better patient outcomes.

Drug Safety: The Power of Real-World Data

This research highlights the potential of real-world data to enhance pharmacovigilance and improve drug safety. By harnessing the wealth of information contained in EHR and SRS data, researchers can identify potential ADRs and trigger further investigation, contributing to the ongoing monitoring and improvement of drug safety practices. This approach emphasizes the importance of leveraging real-world data to improve patient care and safeguard public health.

Data-Driven Healthcare: A New Frontier in Pharmacovigilance

This research points to the increasing role of data-driven approaches in pharmacovigilance. By utilizing real-world data, researchers can continuously monitor drug safety, identify emerging trends, and develop targeted interventions to mitigate potential risks. This shift toward data-driven pharmacovigilance reflects a broader movement in healthcare, embracing the potential of data to improve patient outcomes and optimize healthcare delivery.

Dr.Camel's Conclusion

This research presents a promising approach to pharmacovigilance, leveraging real-world data to improve the detection of ADRs and enhance drug safety. The PDP utilizes both EHR and SRS data to identify potential signals of ADRs, contributing to a more comprehensive and data-driven approach to drug safety monitoring. This research emphasizes the growing importance of real-world data in healthcare, enabling researchers to continuously monitor drug safety, identify emerging trends, and improve patient outcomes.
Date :
  1. Date Completed 2021-06-10
  2. Date Revised 2021-06-10
Further Info :

Pubmed ID

34001114

DOI: Digital Object Identifier

PMC8130307

Related Literature

SNS
PICO Info
in preparation
Languages

English

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