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E-prescription and invisible work in genomics in France.
Froger-Lefebvre, Juliette; Lade, Quentin; Vallier, Estelle; Bourgain, Catherine.
Affiliation
  • Froger-Lefebvre J; Groupe d'Etude des Méthodes de l'Analyse Sociologique de la Sorbonne, Centre National de la Recherche Scientifique, Paris, France.
  • Lade Q; Département SHS du Centre Léon Bérard, Lyon, France.
  • Vallier E; Département SHS du Centre Léon Bérard, Lyon, France.
  • Bourgain C; Centre de Recherche en Cancérologie de Lyon, Université Lyon 1, Lyon, France.
Front Sociol ; 8: 1152364, 2023.
Article in En | MEDLINE | ID: mdl-37456272
ABSTRACT
This article aims to analyze the transformations in medical prescription work and infrastructures brought by digitalization. Our fieldwork takes place in the context of precision medicine development based on genomics High Throughput Sequencing (HTS) in France, through the Plan France Médecine Génomique (PFMG 2025). The Plan aims at industrializing the production of genomic testing in clinical context at a national scale, particularly in oncology. To ensure the intensified flow of information between hospitals and HTS platforms required, a centralized process has been organized around two sequencing platforms and the introduction of a new e-prescription software (E-PRES). We start by analyzing how the e-prescription software changes the practices of health professionals by imposing new technological and professional standards. We show that, more than a mere prescription tool, this software is also a monitoring tool for the platforms and prescribers' work, and a support tool for the logistical and work organization. Secondly, we question the division of labor among the different professionals involved in the organizational or technical tasks required. We show that the feasibility of this new form of digitalized prescription relies on an important datawork performed by "small hands" to select, translate and process a vast amount of heterogeneous data.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Guideline Language: En Journal: Front Sociol Year: 2023 Document type: Article Affiliation country: France

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Guideline Language: En Journal: Front Sociol Year: 2023 Document type: Article Affiliation country: France