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AdhereR: An Open Science Approach to Estimating Adherence to Medications Using Electronic Healthcare Databases
Alexandra Dima, Samuel Allemann, Dan Dediu
1451 - 1452
10.3233/SHTI190479
Research Article
Studies in Health Technology and Informatics
Volume 264: MEDINFO 2019: Health and Wellbeing e-Networks for All
Abstract

Adherence to medications is a key performance indicator and behavioral outcome in healthcare. Electronic healthcare databases represent rich data sources for estimating adherence in both research and practice. To build a solid evidence base for adherence management across clinical settings, it is necessary to standardize adherence estimation and facilitate its appropriate use. We present the recent development and oportunities offered by AdhereR, an R package for visualisation of medication histories and computation of adherence.

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