MERIT-9: A patient information exchange guideline using MML, HL7 and DICOM

Michio Kimura, Kazuhiko Ohe, Hiroyuki Yoshihara, Yutaka Ando, Fumiaki Kawamata, Fumito Tsuchiya, Hiroyuki Furukawa, Shingo Horiguchi, Takaya Sakusabe, Shigeki Tani, Masanori Akiyama

研究成果: ジャーナルへの寄稿学術論文査読

17 被引用数 (Scopus)

抄録

To realize clinical data exchange between healthcare providers, there must be many standards in many layers. Terms and codes should be standardized, syntax to wrap the data must be mutually parsable, then transfer protocol or exchange media should be agreed. Among many standards for the syntax, HL7 and DICOM are most successful. However, everything could not be handled by HL7 solely. DICOM is good for radiology images, but, other clinical images are already handled by other 'lighter' data formats like JPEG, TIFF. So, it is not realistic to use only one standard for every area of clinical information. For description of medical records, especially for narrative information, an standard generalized mark-up language, document type definition (SGML DTD) for medical information, called MML (medical markup language) had been created in Japan. It is already implemented in more than ten healthcare providers. However, it is again not realistic to use MML solely for clinical information in various level of detail. Therefore, we proposed a guideline for use of available medical standards to facilitate clinical information exchange between healthcare providers. It is called MERIT-9 (MEdical Records, Images, Texts, -Information eXchange). A typical use is HL7 messages, DICOM files, referred from an MML file in a patient record, as external entities. Both MML and MERIT-9 have been research projects of Japanese Ministry of Health and Welfare and the purpose is to facilitate clinical data exchanges. They are becoming to be used in technical specifications for new hospital information systems in Japan.

本文言語英語
ページ(範囲)59-68
ページ数10
ジャーナルInternational Journal of Medical Informatics
51
1
DOI
出版ステータス出版済み - 07-1998
外部発表はい

All Science Journal Classification (ASJC) codes

  • 健康情報学

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