2013
DOI: 10.1136/amiajnl-2013-001923
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Leveraging electronic healthcare record standards and semantic web technologies for the identification of patient cohorts

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Cited by 49 publications
(54 citation statements)
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“…As an increased amount of data is produced in EHRs, the of data gathered in process of providing care for reseach is re-used to facilitate patient identification for new clinical trials [3,7], to collect care data within clinical research setting [5] or to be combined with DNA biorepositories for identifying accurately phenotyped cases and controls for large-scale genomic studies [12] or to conduct pharmacogenetic studies [14,15]. Utilizing the availability of patient data from federated EHR systems in many different sites, as well as in international multilingual settings is still challenging [2].…”
Section: Discussionmentioning
confidence: 99%
“…As an increased amount of data is produced in EHRs, the of data gathered in process of providing care for reseach is re-used to facilitate patient identification for new clinical trials [3,7], to collect care data within clinical research setting [5] or to be combined with DNA biorepositories for identifying accurately phenotyped cases and controls for large-scale genomic studies [12] or to conduct pharmacogenetic studies [14,15]. Utilizing the availability of patient data from federated EHR systems in many different sites, as well as in international multilingual settings is still challenging [2].…”
Section: Discussionmentioning
confidence: 99%
“…One of the major barriers to electronic health information interoperability was the heterogeneity of clinical data sources that operated on the foundation of data standard models that restricted the exchange of data external to its domain [13]. The research problem hindered the integration of multiple systems that could and were willing to share patient information.…”
Section: Research Problemmentioning
confidence: 99%
“…The research problem hindered the integration of multiple systems that could and were willing to share patient information. A suggested solution to resolving this problem was the combined use of standardized information models (single source concept) that incorporated specific domain concept definitions instead of the generic concepts that were currently included in the EHR architectures [13].…”
Section: Research Problemmentioning
confidence: 99%
“…One of the major barriers to electronic health information interoperability is the heterogeneity of clinical data sources that operate on the foundation of data standard models that restrict the exchange of data external to its domain [11]. The research problem hinders the integration of multiple systems that can and are willing to share patient information.…”
Section: Research Problemmentioning
confidence: 99%
“…The research problem hinders the integration of multiple systems that can and are willing to share patient information. A suggested solution to resolving this problem is the combined use of standardized information models (single source concept) that incorporates specific domain concept definitions instead of the generic concepts that are currently included in the EHR architectures [11].…”
Section: Research Problemmentioning
confidence: 99%