• 国家药监局综合司 国家卫生健康委办公厅
  • 国家药监局综合司 国家卫生健康委办公厅

Construction and practice of data model management tools for medical

Corresponding author: yanxiaoming, yxmfj316@126.com
DOI: 10.12201/bmr.202206.00005
Statement: This article is a preprint and has not been peer-reviewed. It reports new research that has yet to be evaluated and so should not be used to guide clinical practice.
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    Abstract: As an important data element, medical data is a strategic basic resource for national development. The hospital has accumulated a large amount of medical information data in its long-term operation, but there are common problems in data application and data service, such as low data quality, inconsistent standards, poor data correlation analysis and high data governance cost. Based on the governance practice of domestic medical big data, this paper refers to DAMA Data Management Body of Knowledge in the process of total medical data governance and application. Through the information technology, the data model management tool is constructed to realize the management of data model naming specification, data standard control, value domain, abbreviation, data mapping, version and model quality, which realizes the whole life cycle management of data model and lays a good foundation for subsequent data governance.

    Key words: DAMA data management system; Medical data modeling; Medical data model

    Submit time: 5 June 2022

    Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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  • ID Submit time Number Download
    1 2022-05-06

    bmr.202206.00005V1

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yanxiaoming. Construction and practice of data model management tools for medical. 2022. biomedRxiv.202206.00005

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