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Big data, pharmacoepidemiology and pharmacovigilance.

Big data is a term that comprises a group of technological tools capable of processing extremely large heterogeneous data sets, which are continuously collected and are available to be used at any time, and, therefore, constitutes a source of scientific evidence production. In the pharmacoepidemiolo...

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Published in:Revista Facultad de Medicina de la Universidad Nacional de Colombia Vol. 68; no. 1; pp. 117 - 121
Main Authors: Sánchez-Duque, Jorge Andrés, Gaviria-Mendoza, Andrés, Moreno-Gutiérrez, Paula Andrea, Machado-Alba, Jorge Enrique
Format: Article
Published: Universidad Nacional de Colombia ene-mar2020
Subjects:
Big data
Electronic data processing
Machine learning
Data mining
Time management
Online Access:View this record in EBSCOhost
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          Sánchez-Duque, Jorge Andrés
          Gaviria-Mendoza, Andrés
          Moreno-Gutiérrez, Paula Andrea
          Machado-Alba, Jorge Enrique
        affil:
          Universidad Tecnológica de Pereira - Faculty of Health Sciences - Audifarma S.A., Pharmacoepidemiology and Pharmacovigilance Research Group - Pereira - Colombia
          Universidad Tecnológica de Pereira - Faculty of Health Sciences - Research Group on Epidemiology, Health and Violence - Pereira - Colombia
          Fundación Universitaria Autónoma de las Américas - Pereira Campus - Faculty of Medicine - Biomedical Research Group - Pereira - Colombia
      su:
        Big data
        Electronic data processing
        Machine learning
        Data mining
        Time management
      sug:
        subj:
          Big data
          Electronic data processing
          Machine learning
          Data mining
          Time management
      keyword:
        Artificial Intelligence
        Automatic Data Processing
        Data Accuracy
        Data Mining
        Machine Learning
        Registries (MeSH)
        Aprendizaje automático
        Exactitud de los datos
        Inteligencia artificial
        Minería de datos
        Procesamiento automatizado de datos
        Sistema de registros (DeCS)
      ab:
        Big data is a term that comprises a group of technological tools capable of processing extremely large heterogeneous data sets, which are continuously collected and are available to be used at any time, and, therefore, constitutes a source of scientific evidence production. In the pharmacoepidemiology field, analyses made using these data sets may result in the development of pharmacological therapies that are more efficient, less expensive, and have a lower occurrence rate of adverse reactions. Likewise, the use of tools such as Text Mining or Machine Learning has led to major advances in pharmacoepidemiology and pharmacovigilance areas, so it is likely that these tools will be increasingly used over time.
        Big data es un término que comprende un grupo de herramientas tecnológicas capaces de procesar conjuntos de datos heterogéneos extremadamente grandes, los cuales se recolectan de manera continua, están disponibles para ser usados y constituyen una fuente de evidencia científica. En el área de la farmacoepidemiología, los análisis generados a partir de estos conjuntos de datos pueden resultar en la obtención de terapias médicas más eficientes, con menor número de reacciones adversas y menos costosas. Asimismo, el uso de herramientas como el Text Mining o el Machine Learning también ha llevado a grandes avances en las áreas de farmacoepidemiología y farmacovigilancia, por lo que es probable que su empleo sea cada vez mayor.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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      custom: Copyright of Revista Facultad de Medicina de la Universidad Nacional de Colombia is the property of Universidad Nacional de Colombia and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use.
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