Integrating clinical research with the Healthcare Enterprise: From the RE-USE project to the EHR4CR platform

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Journal of Biomedical Informatics (Impact Factor: 2.19). 08/2011; 44 Suppl 1:S94-102. DOI: 10.1016/j.jbi.2011.07.007
Source: PubMed

ABSTRACT There are different approaches for repurposing clinical data collected in the Electronic Healthcare Record (EHR) for use in clinical research. Semantic integration of “siloed” applications across domain boundaries is the raison d’être of the standards-based profiles developed by the Integrating the Healthcare Enterprise (IHE) initiative – an initiative by healthcare professionals and industry promoting the coordinated use of established standards such as DICOM and HL7 to address specific clinical needs in support of optimal patient care. In particular, the combination of two IHE profiles – the integration profile “Retrieve Form for Data Capture” (RFD), and the IHE content profile “Clinical Research Document” (CRD) – offers a straightforward approach to repurposing EHR data by enabling the pre-population of the case report forms (eCRF) used for clinical research data capture by Clinical Data Management Systems (CDMS) with previously collected EHR data.

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Available from: Pierre-Yves Lastic, Mar 12, 2014
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    • "EMR adoption by primary care physicians in Canada has accelerated in the past several years [1]. This has provided an excellent opportunity to repurpose existing clinical data to pre-populate structured forms [2] [3] and to collect structured data at the point of care to facilitate clinical research. One of the advantages of standardized data is to collect patient-centred data for research leading to improved patient care. "
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    ABSTRACT: EMR adoption by primary care physicians in Canada has increased dramatically in recent years. This provides an excellent opportunity for researchers to collaborate with primary care providers to capture structured data at the point of care. This paper describes the feasibility of converting a popular well-baby checklist form into an electronic version for research data collection. Usability and scalability of the instrument to large numbers of physicians was assessed. We developed and tested a standardized, electronic version of the Rourke Baby Record (eRourke) that was embedded into two different EMRs at four primary care clinics in Southern Ontario over a 6-month period. We utilized qualitative and quantitative research techniques, including on-site observation, key informant interviews and administration of pre- and post-questionnaires. Implementation of the eRourke improved the quality of data for research and reporting significantly. Providers also reported a subjective sense of having collected better quality data. Enhancing the usability of the form in 3 specific areas would likely increase the receptivity to the form to larger numbers of providers. Overall, providers were satisfied with the eRourke and felt that it captured higher quality information than previous versions (55% Agree before vs 88% Agree after).
    Studies in health technology and informatics 02/2015; 208:357-362.
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    • "Former single source projects such as [16] just used locally developed standards to connect their system instead of standardized terminology, whereas newer projects such as [17] [18] use ontologies together with a controlled vocabulary. In comparison, our approach focuses on the facilitation of the mapping and on the implementation of an ontological representation of the semantic annotation for use by client applications. "
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    ABSTRACT: Objective: Reusing EPR data for secondary purposes often requires mapping to classifications and vocabularies such as ICD, LOINC or NCI thesaurus. We aimed for a common architecture which supports the use of different vocabularies and mapping tools. Methods: We integrated the components clinical data warehouse, vocabulary resources and mapping tools with the EPR and client applications. Results: In two projects we used this architecture to map laboratory parameters from the LIS to LOINC, and to map clinical data elements from the Soarian EPR to the cancer registry system using the NCI-Thesaurus®. Conclusion: The approach was successful in both projects. The reference architecture does not resolve the mapping task, but provides reusable integration links between the different components and thus facilitates further mapping activities.
    Studies in health technology and informatics 05/2014; 198:40-6.
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    • "BRIDG [24] (Biomedical Research Integrated Domain Group) model which, on one side, contains representations of clinical research data with underlying mappings to the HL7 RIM and, on the other side, covers a superset of the scope defined by CDASH. Currently, several projects around the world are currently using these standards such as REUSE [25], EHR4CR [18,26], TRANSFORM [19,20] or CaBIG [27]. "
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