Abstract
Researchers, regulatory agencies, and the pharmaceutical industry are moving towards precision pharmacovigilance as a comprehensive framework for drug safety assessment, at the service of the individual patient, by clustering specific risk groups in different databases. This article explores its implementation by focusing on: (i) designing a new data collection infrastructure, (ii) exploring new computational methods suitable for drug safety data, and (iii) providing a computer-aided framework for distributed clinical decisions with the aim of compiling a personalized information leaflet with specific reference to a drug's risks and adverse drug reactions. These goals can be achieved by using ‘smart hospitals’ as the principal data sources and by employing methods of precision medicine and medical statistics to supplement current public health decisions.
Original language | English |
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Pages (from-to) | 473-481 |
Journal | Trends in Pharmacological Sciences |
Volume | 43 |
Issue number | 6 |
DOIs | |
Publication status | Published - Jun 2022 |
MoE publication type | A1 Journal article-refereed |
Funding
Research reported in this publication was supported by the European Research Consortium for Informatics and Mathematics.
Keywords
- drug safety
- personalized information leaflet
- pharmacosurveillance
- pharmacovigilance
- precision medicine
- smart hospital