BIG DATA ANALYTICS IN PHARMACOVIGILANCE - A GLOBAL TREND

Autor: Bhuvaneshwari E, Sravani Marpaka, Chakradhar T, Swetha Rani Aitha, Swarupa Rani Kasukurthi
Rok vydání: 2021
Předmět:
Zdroj: Asian Journal of Pharmaceutical and Clinical Research. :19-24
ISSN: 2455-3891
0974-2441
DOI: 10.22159/ajpcr.2021.v14i10.42765
Popis: Big data analysis has enhanced its demand nowadays in various sectors of health-care including pharmacovigilance. The exact definition of big data is not known to many people though it is routinely used by them. Big data refer to immense and voluminous computerized medical information which are obtained from electronic health records, administrative data, registries related to disease, drug monitoring, etc. This data are usually collected from doctors and pharmacists in a health-care facility. Analysis of big data in pharmacovigilance is useful for early raising of safety alerts, line listing them for signal detection of drugs and vaccines, and also for their validation. The present paper is intended to discuss big data analytics in pharmacovigilance focusing on global prospect and domestic country-India.
Databáze: OpenAIRE