Literature DB >> 23920688

Why we need a large-scale open metadata initiative in health informatics - a vision paper on open data models for clinical phenotypes.

Martin Dugas1.   

Abstract

Clinical phenotypes are very complex and not well described. For instance, more than 100.000 biomedical concepts are needed to describe clinical properties of patients. At present, information systems dealing with clinical phenotype data are based on secret, heterogeneous and incompatible data models. This is the root cause for the well-known grand challenge of semantic interoperability in healthcare: data exchange and analysis of medical information systems has major limitations. This problem slows down medical progressand wastes time of health care professionals. A large-scale open metadata initiative can foster exchange, discussion and consensus regarding data models for clinical phenotypes. This would be an important contribution to improve information systems in healthcare and to solve the grand challenge of semantic interoperability.

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Year:  2013        PMID: 23920688

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


  3 in total

1.  Clinical Research Informatics: Recent Advances and Future Directions.

Authors:  M Dugas
Journal:  Yearb Med Inform       Date:  2015-08-13

2.  Open data models for smart health interconnected applications: the example of openEHR.

Authors:  Hans Demski; Sebastian Garde; Claudia Hildebrand
Journal:  BMC Med Inform Decis Mak       Date:  2016-10-22       Impact factor: 2.796

3.  Design of case report forms based on a public metadata registry: re-use of data elements to improve compatibility of data.

Authors:  Martin Dugas
Journal:  Trials       Date:  2016-11-29       Impact factor: 2.279

  3 in total

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