This paper is in the following e-collection/theme issue:

Digital Health Reviews (1733) Data Science (359) Big Data (309) Advanced Data Analytics in eHealth (212)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41048, first published .
Development of Indirect Health Data Linkage on Health Product Use and Care Trajectories in France: Systematic Review

Development of Indirect Health Data Linkage on Health Product Use and Care Trajectories in France: Systematic Review

Development of Indirect Health Data Linkage on Health Product Use and Care Trajectories in France: Systematic Review

Authors of this article:

Florence Ranchon1, 2 Author Orcid Image ;   Sébastien Chanoine2, 3, 4 Author Orcid Image ;   Sophie Lambert-Lacroix2 Author Orcid Image ;   Jean-Luc Bosson2 Author Orcid Image ;   Alexandre Moreau-Gaudry2 Author Orcid Image ;   Pierrick Bedouch2, 3, 4 Author Orcid Image
Article Authors Cited by (6) Tweetations (3) Metrics

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  2. Turcato C, Pedroso B, Arnold M, Picinin C. Adapting to Industry 4.0 in France: Essential Competencies for a Future-Ready Workforce. Administrative Sciences 2024;14(12):322 View
  3. Goff R, Brice S, Contini A, Boussac M, Souche A, Belloc F, Coulombel N, Collin C, Gouverneur A, Molimard M. Successful Linkage of Electronic Medical Records and National Health Data System in Type 2 Diabetes Research: Methodological Insights and Implications. Pharmacoepidemiology and Drug Safety 2025;34(2) View
  4. Bedouch P, Chanoine S. Real-world health data potential for economic insights in COPD. European Respiratory Journal 2025;65(1):2402188 View
  5. Kimpe E, Van Laere S, Busschaert S, Lelie M, Tisseghem E, Rygaert X, Barbé K, Cornu P, De Ridder M, Putman K. Factors associated with long-term survival of invasive breast cancer patients in Belgium: a population-based cohort study. International Journal of Epidemiology 2025;54(4) View
  6. Laborey M, Lajoinie A, Freilich J, Samalin E, Bouché O, Piessen G, Stoelzel M, Chilelli A, Pantelis, A. Methodological approach to optimize a step-by-step deterministic linkage of SNDS data with a clinical database (FREGAT) of gastric/gastroesophageal junction adenocarcinoma in France: Pitfalls and learnings. PLOS One 2025;20(11):e0333667 View