DESIREE Project
Published July 7, 2019 | Version v1
Conference paper Open

Gathering Real World Evidence Through the Evaluation of Decision History

Authors/Creators

  • 1. 1)Sorbonne Université, Université Paris 13 Sorbonne Paris Cité, INSERM UMR_S 1142, LIMICS, Paris, France 2)eHeatlh and Biomedical Applications, Vicomtech, Donostia-San Sebastian, Spain 3) Biodonostia, Donostia-San Sebastian, Spain
  • 2. 1)b eHeatlh and Biomedical Applications, Vicomtech, Donostia-San Sebastian, Spain 2) Biodonostia, Donostia-San Sebastian, Spain
  • 3. 1) AP-HP, DRCI, Paris, France 2) Sorbonne Université, Université Paris 13 Sorbonne Paris Cité, INSERM UMR_S 1142, LIMICS, Paris, France
  • 4. 1) Sorbonne Université, Université Paris 13 Sorbonne Paris Cité, INSERM UMR_S 1142, LIMICS, Paris, France 2) AP-HP, Hôpital Tenon, Département de Santé Publique, Paris, France

Description

 Clinical Practice Guidelines (CPGs) gather latest evidence-based results
to guide and support clinicians over the decision-making process to provide best
care. Nevertheless, clinical cases may be subject to some biases (understood as
non-compliance with CPGs) that can lead to adapt care delivery. In this work an
experience-based decision support leaning on the structuration of the Decisional
Event concept for tracking and storing each clinical decision is presented.
Moreover, a visual analytics tool is provided in order to facilitate the visualization
of biases from guideline-based decision support and the identification and
inclusion of real-world evidence into the reasoning process by augmenting the
knowledge formalized in the implemented guidelines.

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ICIMTH19_1_N.Muro_Gathering_Real_world_evidence_ICIMTH_July19.pdf

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Additional details

Funding

European Commission
DESIREE - Decision Support and Information Management System for Breast Cancer 690238