2014
DOI: 10.3414/me13-01-0008
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Development of an Open Metadata Schema for Prospective Clinical Research (openPCR) in China

Abstract: OpenPCR is an open metadata schema based on research registration standards, standards of the Clinical Data Interchange Standards Consortium (CDISC) and Chinese healthcare related standards, and is to be publicly available throughout China. It considers future integration of EHR and CR by adopting data structure and data terms in Chinese EHR Standard. Archetypes in openPCR are modularity models and can be separated, recombined, and reused. The authors recommend that the method to develop openPCR can be referen… Show more

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Cited by 6 publications
(2 citation statements)
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References 10 publications
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“…A typical application of this system starts from clinical problem (i.e., PICO) querying, matched RCTs (meta-evidence in this system) complete meta-analysis, and a systematic review in the background; In recent years, there have been many studies on automatic SRs assisted by computer [24], but most of them still adopt the semi-automatic method of "human-machine combination" [25]. Some meta-evidence similar data researches, such as the CISMeF metadata project, based on the Dublin core model, could describe the metadata of EBM resources [26], and Xu et al [27] established an evidencebased medicine metadata experiment database. Another study [28] reported a web scraping algorithm developed by python language that can automatically extract metadata of published literature (such as title, abstract, keywords, year, author, and DOI).…”
Section: Application Demonstrationmentioning
confidence: 99%
“…A typical application of this system starts from clinical problem (i.e., PICO) querying, matched RCTs (meta-evidence in this system) complete meta-analysis, and a systematic review in the background; In recent years, there have been many studies on automatic SRs assisted by computer [24], but most of them still adopt the semi-automatic method of "human-machine combination" [25]. Some meta-evidence similar data researches, such as the CISMeF metadata project, based on the Dublin core model, could describe the metadata of EBM resources [26], and Xu et al [27] established an evidencebased medicine metadata experiment database. Another study [28] reported a web scraping algorithm developed by python language that can automatically extract metadata of published literature (such as title, abstract, keywords, year, author, and DOI).…”
Section: Application Demonstrationmentioning
confidence: 99%
“…In practice, there are existing experiences of standards implementation that have succeeded to provide access to clinical and health related information within a region e.g. Lombardy region in Italy [20] and openEHR implementation in Chinese hospitals [21, 22]. Yet, interoperability of HIS remains a problem in most healthcare systems and was identified as still being a major issue for usability of eHealth in Sweden in a study from 2013 [23].…”
Section: Introductionmentioning
confidence: 99%