OpenSDE: A strategy for expressive and flexible structured data entry

Los, Renske K.; Ginneken, Astrid M. van; Lei, Johan van der

doi:10.1016/j.ijmedinf.2005.04.005

Cited by 27 publications

(21 citation statements)

References 13 publications

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“…Today EHR systems like the Cambio COSMIC that support flexible clinical recording exist [16-18]. The underlying mechanism that enables such flexibility may come with different names, e.g.…”

Section: Discussionmentioning

confidence: 99%

Archetype-based conversion of EHR content models: pilot experience with a regional EHR system

Chen

Klein

Sundvall

et al. 2009

BMC Med Inform Decis Mak

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BackgroundExchange of Electronic Health Record (EHR) data between systems from different suppliers is a major challenge. EHR communication based on archetype methodology has been developed by openEHR and CEN/ISO. The experience of using archetypes in deployed EHR systems is quite limited today. Currently deployed EHR systems with large user bases have their own proprietary way of representing clinical content using various models. This study was designed to investigate the feasibility of representing EHR content models from a regional EHR system as openEHR archetypes and inversely to convert archetypes to the proprietary format.MethodsThe openEHR EHR Reference Model (RM) and Archetype Model (AM) specifications were used. The template model of the Cambio COSMIC, a regional EHR product from Sweden, was analyzed and compared to the openEHR RM and AM. This study was focused on the convertibility of the EHR semantic models. A semantic mapping between the openEHR RM/AM and the COSMIC template model was produced and used as the basis for developing prototype software that performs automated bi-directional conversion between openEHR archetypes and COSMIC templates.ResultsAutomated bi-directional conversion between openEHR archetype format and COSMIC template format has been achieved. Several archetypes from the openEHR Clinical Knowledge Repository have been imported into COSMIC, preserving most of the structural and terminology related constraints. COSMIC templates from a large regional installation were successfully converted into the openEHR archetype format. The conversion from the COSMIC templates into archetype format preserves nearly all structural and semantic definitions of the original content models. A strategy of gradually adding archetype support to legacy EHR systems was formulated in order to allow sharing of clinical content models defined using different formats.ConclusionThe openEHR RM and AM are expressive enough to represent the existing clinical content models from the template based EHR system tested and legacy content models can automatically be converted to archetype format for sharing of knowledge. With some limitations, internationally available archetypes could be converted to the legacy EHR models. Archetype support can be added to legacy EHR systems in an incremental way allowing a migration path to interoperability based on standards.

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“…Today EHR systems like the Cambio COSMIC that support flexible clinical recording exist [16-18]. The underlying mechanism that enables such flexibility may come with different names, e.g.…”

Section: Discussionmentioning

confidence: 99%

Archetype-based conversion of EHR content models: pilot experience with a regional EHR system

Chen

Klein

Sundvall

et al. 2009

BMC Med Inform Decis Mak

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“…Simultaneous advances in EHRs' functionality, graphical user interface designs, and mobile/wireless hardware have expanded the sophistication of tools that support direct entry of detailed clinical data into the EHR as discrete coded data elements (Los et al 2005;Venema et al 2007). 8.…”

Section: Designing Data Capture and Monitoring Data Entry Compliancementioning

confidence: 99%

Pediatric Biomedical Informatics

Hutton¹

2012

Translational Bioinformatics

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Aims and ScopeThe Book Series in Translational Bioinformatics is a powerful and integrative resource for understanding and translating discoveries and advances of genomic, transcriptomic, proteomic and bioinformatic technologies into the study of human diseases. The Series represents leading global opinions on the translation of bioinformatics sciences into both the clinical setting and descriptions to medical informatics. It presents the critical evidence to further understand the molecular mechanisms underlying organ or cell dysfunctions in human diseases, the results of genomic, transcriptomic, proteomic and bioinformatic studies from human tissues dedicated to the discovery and validation of diagnostic and prognostic disease biomarkers, essential information on the identification and validation of novel drug targets and the application of tissue genomics, transcriptomics, proteomics and bioinformatics in drug efficacy and toxicity in clinical research.The Book Series in Translational Bioinformatics focuses on outstanding articles/chapters presenting significant recent works in genomic, transcriptomic, proteomic and bioinformatic profiles related to human organ or cell dysfunctions and clinical findings. The Series includes bioinformatics-driven molecular and cellular disease mechanisms, the understanding of human diseases and the improvement of patient prognoses. Additionally, it provides practical and useful study insights into and protocols of design and methodology. Series DescriptionTranslational bioinformatics is defined as the development of storage-related, analytic, and interpretive methods to optimize the transformation of increasingly voluminous biomedical data, and genomic data in particular, into proactive, predictive, preventive, and participatory health. Translational bioinformatics includes research on the development of novel techniques for the integration of biological and clinical data and the evolution of clinical informatics methodology to encompass biological observations. The end product of translational bioinformatics is the newly found knowledge from these integrative efforts that can be disseminated to a variety of stakeholders including biomedical scientists, clinicians, and patients. Issues related to database management, administration, or policy will be coordinated through the clinical research informatics domain. Analytic, storage-related, and interpretive methods should be used to improve predictions, early diagnostics, severity monitoring, therapeutic effects, and the prognosis of human diseases.

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“…A structured TCM EMR system like OpenSDE (Open Structured Data Entry) was developed in 2002, which helps collect structured EMR data from daily clinical operations. The system supports TCM practitioners with the recording of structured data for use in both practical care and research.…”

Section: Related Work and Promising Approachesmentioning

confidence: 99%

Data processing and analysis in real‐world traditional Chinese medicine clinical data: challenges and approaches

Liu

Zhou

Wang

et al. 2011

Statistics in Medicine

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Traditional Chinese medicine (TCM) is a clinical-based discipline in which real-world clinical practice plays a significant role for both the development of clinical therapy and theoretical research. The large-scale clinical data generated during the daily clinical operations of TCM provide a highly valuable knowledge source for clinical decision making. Secondary analysis of these data would be a vital task for TCM clinical studies before the randomised controlled trials are conducted. In this article, we discuss the challenges and issues, such as structured data curation, data preprocessing and quality, large-scale data management and complex data analysis requirements, in the data processing and analysis of real-world TCM clinical data. Furthermore, we also discuss related state-of-the-art research and solutions in China. We have shown that the clinical data warehouse based on the collection of structured electronic medical record data and clinical terminology would be a promising approach for generating clinical hypotheses and helping the discovery of clinical knowledge from large-scale real-world TCM clinical data.

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OpenSDE: A strategy for expressive and flexible structured data entry

Cited by 27 publications

References 13 publications

Archetype-based conversion of EHR content models: pilot experience with a regional EHR system

Archetype-based conversion of EHR content models: pilot experience with a regional EHR system

Pediatric Biomedical Informatics

Data processing and analysis in real‐world traditional Chinese medicine clinical data: challenges and approaches

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