Open Access
Yearb Med Inform 2012; 21(01): 135-138
DOI: 10.1055/s-0038-1639444
Synopsis
Georg Thieme Verlag KG Stuttgart

Unlocking the Potential of Electronic Health Records for Translational Research

Findings from the Section on Bioinformatics and Translational Informatics
Y. L. Yip
1   Knowledge Management, Merck Serono International S.A., 9 Chemin des Mines, 1202 Geneva, Switzerland
,
Section Editor for the IMIA Yearbook Section on Bioinformatics and Translational Informatics› Institutsangaben

I would like to acknowledge the support of Martina Hutter and the reviewers in the selection process of the IMIA Yearbook.
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Publikationsverlauf

Publikationsdatum:
10. März 2018 (online)

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Summary

Objectives

To review current excellent research and trend in the field of bioinformatics and translational informatics with direct application in the medical domain.

Method

Synopsis of the articles selected for the IMIA Yearbook 2012.

Results

Six excellent articles were selected in this Yearbook’s section on Bioinformatics and Translational Informatics. They exemplify current key advances in the use of patient information for translational research and health surveillance. First, two proof-of-concept studies demonstrated the cross-institutional and -geographic use of Electronic Health Records (EHR) for clinical trial subjects identification and drug safety signals detection. These reports pave ways to global large-scale population monitoring. Second, there is further evidence on the importance of coupling phenotypic information in EHR with genotypic information (either in biobank or in gene association studies) for new biomedical knowledge discovery. Third, patient data gathered via social media and self-reporting was found to be comparable to existent data and less labor intensive. This alternative means could potentially overcome data collection challenge in cohort and prospective studies. Finally, it can be noted that metagenomic studies are gaining momentum in bioinformatics and system-level analysis of human microbiome sheds important light on certain human diseases.

Conclusions

The current literature showed that the traditional bench to bedside translational research is increasing being complemented by the reverse approach, in which bedside information can be used to provide novel biomedical insights.