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A Minimal Information Model for Potential Drug-Drug Interactions

Authors :
Harry Hochheiser
Xia Jing
Elizabeth A. Garcia
Serkan Ayvaz
Ratnesh Sahay
Michel Dumontier
Juan M. Banda
Oya Beyan
Mathias Brochhausen
Evan Draper
Sam Habiel
Oktie Hassanzadeh
Maria Herrero-Zazo
Brian Hocum
John Horn
Brian LeBaron
Daniel C. Malone
Øystein Nytrø
Thomas Reese
Katrina Romagnoli
Jodi Schneider
Louisa (Yu) Zhang
Richard D. Boyce
Source :
Frontiers in Pharmacology, Vol 11 (2021)
Publication Year :
2021
Publisher :
Frontiers Media S.A., 2021.

Abstract

Despite the significant health impacts of adverse events associated with drug-drug interactions, no standard models exist for managing and sharing evidence describing potential interactions between medications. Minimal information models have been used in other communities to establish community consensus around simple models capable of communicating useful information. This paper reports on a new minimal information model for describing potential drug-drug interactions. A task force of the Semantic Web in Health Care and Life Sciences Community Group of the World-Wide Web consortium engaged informaticians and drug-drug interaction experts in in-depth examination of recent literature and specific potential interactions. A consensus set of information items was identified, along with example descriptions of selected potential drug-drug interactions (PDDIs). User profiles and use cases were developed to demonstrate the applicability of the model. Ten core information items were identified: drugs involved, clinical consequences, seriousness, operational classification statement, recommended action, mechanism of interaction, contextual information/modifying factors, evidence about a suspected drug-drug interaction, frequency of exposure, and frequency of harm to exposed persons. Eight best practice recommendations suggest how PDDI knowledge artifact creators can best use the 10 information items when synthesizing drug interaction evidence into artifacts intended to aid clinicians. This model has been included in a proposed implementation guide developed by the HL7 Clinical Decision Support Workgroup and in PDDIs published in the CDS Connect repository. The complete description of the model can be found at https://w3id.org/hclscg/pddi.

Details

Language :
English
ISSN :
16639812
Volume :
11
Database :
Directory of Open Access Journals
Journal :
Frontiers in Pharmacology
Publication Type :
Academic Journal
Accession number :
edsdoj.1e4485373d624cc5b63d8354a4327501
Document Type :
article
Full Text :
https://doi.org/10.3389/fphar.2020.608068