首页> 美国卫生研究院文献>BMJ Open >Identifying cardiac surgery operations in hospital episode statistics administrative database with an OPCS-based classification of procedures validated against clinical data
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Identifying cardiac surgery operations in hospital episode statistics administrative database with an OPCS-based classification of procedures validated against clinical data

机译:通过基于OPCS的程序分类在医院发作统计信息管理数据库中识别心脏手术操作并根据临床数据进行验证

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摘要

ObjectivesAdministrative databases with dedicated coding systems in healthcare systems where providers are funded based on services recorded have been shown to be useful for clinical research, although their reliability is still questioned. We devised a custom classification of procedures and algorithms based on OPCS, enabling us to identify open heart surgeries from the English administrative database, Hospital Episode Statistics, with the objective of comparing the incidence of cardiac procedures in administrative and clinical databases.
机译:目标在医疗系统中具有专用编码系统的管理数据库已被证明对临床研究有用,在医疗系统中,根据记录的服务为提供者提供资金,尽管它们的可靠性仍然受到质疑。我们设计了基于OPCS的自定义程序和算法分类,使我们能够从英语行政数据库“医院情节统计”中识别心脏直视手术,目的是比较行政数据库和临床数据库中心脏手术的发生率。

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