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An Automatic Image Collection System for Multicenter Clinical Studies.
Takeda, Toshihiro; Manabe, Shirou; Hattori, Atsushi; Yamaguchi, Junji; Konishi, Shozo; Yamamoto, Yuichiro; Takahashi, Daiyo; Matsumura, Yasushi.
Afiliación
  • Takeda T; Department of Medical Informatics, Osaka University Graduate School of Medicine.
  • Manabe S; Department of Medical Informatics, Osaka University Graduate School of Medicine.
  • Hattori A; MKS ltd.
  • Yamaguchi J; MKS ltd.
  • Konishi S; MKS ltd.
  • Yamamoto Y; Department of Medical Informatics, Osaka University Graduate School of Medicine.
  • Takahashi D; MKS ltd.
  • Matsumura Y; MKS ltd.
Stud Health Technol Inform ; 270: 23-27, 2020 Jun 16.
Article en En | MEDLINE | ID: mdl-32570339
ABSTRACT
The acquisition of medical images from multiple medial institutions has become important for high-quality clinical studies. In recent years, electronic data submission has enabled the transmission of image data to independent institutions more quickly and easily than before. However, the selection, anonymization, and transmission of medical images still require human resources in the form of clinical research collaborators. In this study, we developed an image collection system that works with the electronic data capture (EDC) system. In this image collection system, medical images are selected based on EDC input information, patient ID is anonymized to a subject ID issued by the EDC, and the selected anonymized images are transferred to the research institute without human intervention. In the research institute, clinical information registered by the EDC and clinical images collected by the image collection system are managed by the same subject ID and can be used for clinical studies. In October 2019, our image collection system was introduced to 13 medical institutions and has now begun collecting medical images from the in-hospital picture archiving and communication system (PACS) of those institutions.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Sistemas de Información Radiológica Tipo de estudio: Clinical_trials Límite: Humans Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2020 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Sistemas de Información Radiológica Tipo de estudio: Clinical_trials Límite: Humans Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2020 Tipo del documento: Article