Collaborative and privacy-enhancing workflows on a clinical data warehouse: an example developing natural language processing pipelines to detect medical conditions.

Abstract

Authors

• Thomas Petit-Jean
  Innovation and Data Unit, IT Department, Assistance Publique-Hôpitaux de Paris, Paris, 75012, France.
• Christel Gérardin
  Institut Pierre Louis d'Epidémiologie et de Santé Publique, Sorbonne Université, Inserm, 27 rue Chaligny, 75012 Paris, France; Département de médecine interne, APHP. Sorbonne Université, France. Electronic address: christel.ducroz-gerardin@iplesp.upmc.fr.
• Emmanuelle Berthelot
  Department of Cardiology, Hôpital Bicêtre, Assistance Publique-Hôpitaux de Paris, Le Kremlin Bicêtre, 94270, France.
• Gilles Chatellier
  Innovation and Data Unit, IT Department, Assistance Publique-Hôpitaux de Paris, Paris, 75012, France.
• Marie Frank
  Department of Medical Informatics, Hôpitaux Universitaires Paris-Saclay, Assistance Publique-Hôpitaux de Paris, Le Kremlin-Bicêtre, 94270, France.
• Xavier Tannier
  Sorbonne Université, Inserm, Univ Paris 13, Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances pour la e-Santé, LIMICS, 75006 Paris, France. Electronic address: xavier.tannier@sorbonne-universite.fr.
• Emmanuelle Kempf
  Assistance Publique-Hôpitaux de Paris, Henri Mondor-Albert Chenevier University Hospital, Department of Medical Oncology, Créteil, France.
• Romain Bey
  Centre of Research in Epidemiology and Statistics (CRESS), Université de Paris, French Institute of Health and Medical Research (INSERM), National Institute of Agricultural Research (INRA), Paris, France.

Keywords

External Resources