Literature DB >> 20841899

The REUSE project: EHR as single datasource for biomedical research.

Abdennaji El Fadly1, Noël Lucas, Bastien Rance, Philippe Verplancke, Pierre-Yves Lastic, Christel Daniel.   

Abstract

Integrating biomedical research and patient care is a challenging issue requiring interoperability solutions. During a clinical trial, clinical data are captured twice, first in the Electronic Health Record (EHR) and then in the Clinical trials Data Management System (CDMS). The aim of REUSE (Retrieving EHR Useful data for Secondary Exploitation) project is to provide a single source solution for electronic data capture to the investigators of a university hospitals involved in a multi-centric clinical trial. We first investigated the differences between the workflows of patient care and biomedical research to specify the use of EHR for clinical trials. Then we defined a semantic interoperability framework in order to enable the reuse of EHR clinical data and implemented a mediator that transforms CDISC Operational Data Model (ODM) XML into proprietary XML document templates of different EHR solutions and vice-versa. Implementing electronic data capture for biomedical research within EHR eliminates redundant data entry, thus improving data quality and processing speed. Moreover, unlike other initiatives such as IHE integration profile "Retrieve Form for Data Capture" (RFD), the REUSE approach ensures that all clinical data is kept in the EHR whatever the context of data capture is.

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Year:  2010        PMID: 20841899

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  11 in total

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3.  Multilingual Medical Data Models in ODM Format: A Novel Form-based Approach to Semantic Interoperability between Routine Healthcare and Clinical Research.

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Journal:  Appl Clin Inform       Date:  2012-07-11       Impact factor: 2.342

4.  HIS-based Kaplan-Meier plots--a single source approach for documenting and reusing routine survival information.

Authors:  Bernhard Breil; Axel Semjonow; Carsten Müller-Tidow; Fleur Fritz; Martin Dugas
Journal:  BMC Med Inform Decis Mak       Date:  2011-02-16       Impact factor: 2.796

Review 5.  Current applications and future directions for the CDISC Operational Data Model standard: A methodological review.

Authors:  Sam Hume; Jozef Aerts; Surendra Sarnikar; Vojtech Huser
Journal:  J Biomed Inform       Date:  2016-03-02       Impact factor: 6.317

6.  Ontology-based data integration between clinical and research systems.

Authors:  Sebastian Mate; Felix Köpcke; Dennis Toddenroth; Marcus Martin; Hans-Ulrich Prokosch; Thomas Bürkle; Thomas Ganslandt
Journal:  PLoS One       Date:  2015-01-14       Impact factor: 3.240

7.  Enhancing electronic health records to support clinical research.

Authors:  David K Vawdrey; Chunhua Weng; David Herion; James J Cimino
Journal:  AMIA Jt Summits Transl Sci Proc       Date:  2014-04-07

8.  OWL model of clinical trial eligibility criteria compatible with partially-known information.

Authors:  Olivier Dameron; Paolo Besana; Oussama Zekri; Annabel Bourdé; Anita Burgun; Marc Cuggia
Journal:  J Biomed Semantics       Date:  2013-09-13

9.  Mobile electronic versus paper case report forms in clinical trials: a randomized controlled trial.

Authors:  Robert Fleischmann; Anne-Marie Decker; Antje Kraft; Knut Mai; Sein Schmidt
Journal:  BMC Med Res Methodol       Date:  2017-12-01       Impact factor: 4.615

10.  Prototype Development: Context-Driven Dynamic XML Ophthalmologic Data Capture Application.

Authors:  Peggy Peissig; Kelsey M Schwei; Christopher Kadolph; Joseph Finamore; Efrain Cancel; Catherine A McCarty; Asha Okorie; Kate L Thomas; Jennifer Allen Pacheco; Jyotishman Pathak; Stephen B Ellis; Joshua C Denny; Luke V Rasmussen; Gerard Tromp; Marc S Williams; Tamara R Vrabec; Murray H Brilliant
Journal:  JMIR Med Inform       Date:  2017-09-13
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