Séminaire Organisations Joël PEREZ-TORRENTS
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Le 27 novembre 2025false false
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Salle 212, bâtiment ERDRE, IAE Nantes,
de 12 h à 13 h.
Joël PERREZ-TORRENTS,
Post-doctorant à McGill après avoir soutenu une thèse menée à l'École Polytechnique sous la direction d'Étienne MINVIELLE.
Il présentera un article en cours intitulé : "How to Organize Care Personalization at Scale in the Digitale Age" ; Étienne Minvielle, Joël Perrez-Torrent, Israa Salma, Fatima Yatim-Daumas.
Abstract :
Although personalization has risen to prominence in healthcare, many initiatives ranging from precision medicine to patient-centered care remain siloed, making it unclear how to integrate them into routine patient pathways. Drawing on a phenomenon-based investigation of a heath-tech startup caring for elderly poly-pathology patients at home, we show how frontline practitioners, and digital tools co-produce a structured yet flexible approach to mass customization. Our findings reveal five key iterative stages (Segmentation, Design, Assembly, Distribution, and Feedback) and illustrate how human–machine collaboration unfolds. We discuss how these insights inform theoretical debates about healthcare personalization and mass customization production.
Post-doctorant à McGill après avoir soutenu une thèse menée à l'École Polytechnique sous la direction d'Étienne MINVIELLE.
Il présentera un article en cours intitulé : "How to Organize Care Personalization at Scale in the Digitale Age" ; Étienne Minvielle, Joël Perrez-Torrent, Israa Salma, Fatima Yatim-Daumas.
Abstract :
Although personalization has risen to prominence in healthcare, many initiatives ranging from precision medicine to patient-centered care remain siloed, making it unclear how to integrate them into routine patient pathways. Drawing on a phenomenon-based investigation of a heath-tech startup caring for elderly poly-pathology patients at home, we show how frontline practitioners, and digital tools co-produce a structured yet flexible approach to mass customization. Our findings reveal five key iterative stages (Segmentation, Design, Assembly, Distribution, and Feedback) and illustrate how human–machine collaboration unfolds. We discuss how these insights inform theoretical debates about healthcare personalization and mass customization production.
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