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Medical Image Sharing in Japan.
Shiokawa, Yasunari; Mori, Noriko; Sakusabe, Takaya; Imai, Takeshi; Watanabe, Hiroshi; Kimura, Michio.
Afiliación
  • Shiokawa Y; Canon Medical Systems Corporation, Kawasaki, Kanagawa, Japan.
  • Mori N; Shizuoka Prefectural Hospital Organization, Shizuoka, Japan.
  • Sakusabe T; Medical Engineering, Fujita Health University School of Medical Sciences, Toyoake, Aichi, Japan.
  • Imai T; Department of Healthcare Information Systems, The University of Tokyo, Tokyo, Japan.
  • Watanabe H; Department of Medical Informatics, National Center for Geriatrics and Gerontology, Ohbu, Aichi, Japan.
  • Kimura M; Department of Medical Informatics, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan. kimura@mi.hama-med.ac.jp.
J Digit Imaging ; 35(4): 772-784, 2022 08.
Article en En | MEDLINE | ID: mdl-35995897
ABSTRACT
This paper reports the history, background including politics, current status of Japan's health imaging study and other information sharing. Its realization was slow until the Ministry of Health, Labour and Welfare (MHLW) started paying digital image storage at the same rate as films in 2008. Information sharing was initiated in early 2010s, which was before vendors became ready for Integrating the Healthcare Enterprise (IHE) cross-enterprise document sharing (XDS), with the result that most of 34 large regional sharing systems are in non-standardized protocol. One standardized example is the Hamamatsu area where inexpensive online PDI (portable data for imaging) was introduced.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Diagnóstico por Imagen / Difusión de la Información Tipo de estudio: Diagnostic_studies Límite: Humans País/Región como asunto: Asia Idioma: En Revista: J Digit Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA / RADIOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Japón

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Diagnóstico por Imagen / Difusión de la Información Tipo de estudio: Diagnostic_studies Límite: Humans País/Región como asunto: Asia Idioma: En Revista: J Digit Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA / RADIOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Japón