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. 2021 Jul 20;21:219. doi: 10.1186/s12911-021-01583-x

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© The Author(s) 2021

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 1 — Collaboration between three research axes and the main knowledge user. Three research axes will be interrelated throughout the project. While the AI axis will start the analysis of the surveillance data of the QICDSS, the Health axis will carry out a literature review on health outcomes that could be fed into subsequent AI axis research. The first results of the AI axis will be transmitted to the other two axes, which will ensure their ethical justifiability, social acceptability (Law&Ethics axis) and clinical relevance and the ability to be translated into concrete indicators for surveillance (Health axis). Feedback from the Health and Law&Ethics axes to the AI axis will allow to refine or to reorient its research. The indicators developed by the Health axis will also be transferred to the Law&Ethics axis to verify their social acceptability. The INSPQ will be involved in all stages, and the polypharmacy indicators selected at the end of the project will be integrated into the chronic disease surveillance