EXPORT OF INFORMATION FROM MEDICAL RECORDS INTO DATABASE


Automatic analysis of medical records can help to improve our understanding of all diseases, their development and treatment. Main problem with it is that most medical records nowadays are stored in a semi-structured text, which makes automatic classification and analysis more difficult. One of the possible approaches towards process simplification is to export all relevant data from semi-structured health records into a database. We propose to use semantics-oriented approach for this, as it provides relative freedom in portability. With this aim disease ontology is used for intermediate representation of the domain. Ontology can be modified and expanded at any moment to adjust the system for another disease or medical area. Our contribution describes an experiment run on a set of medical records, which have already been exported to a database manually, and compares the obtained results to estimate efficiency of the method.

Keywords:
medical records, export, database


Autoři: Liuba Grama 1
Působiště autorů: Czech Technical University in Prague , Prague, Czech Republic 1
Vyšlo v časopise: Lékař a technika - Clinician and Technology No. 2, 2012, 42, 38-41
Kategorie: Conference YBERC 2012

Souhrn

Automatic analysis of medical records can help to improve our understanding of all diseases, their development and treatment. Main problem with it is that most medical records nowadays are stored in a semi-structured text, which makes automatic classification and analysis more difficult. One of the possible approaches towards process simplification is to export all relevant data from semi-structured health records into a database. We propose to use semantics-oriented approach for this, as it provides relative freedom in portability. With this aim disease ontology is used for intermediate representation of the domain. Ontology can be modified and expanded at any moment to adjust the system for another disease or medical area. Our contribution describes an experiment run on a set of medical records, which have already been exported to a database manually, and compares the obtained results to estimate efficiency of the method.

Keywords:
medical records, export, database


Zdroje

[1] S.M. Meystre, G.K. Savova, K.C. Kipper-Schuler, J.F. Hurdle. Extracting Information from Textual Documents in the Electronic Health Record: A Review of Recent Research, 2008.

[2] M.A. Sasse, C.W. Johnson. Human-computer Interaction, INTERACT '99, 1999

[3] C.E. Lipscomb. Medical Subject Headings (MeSH). Bull Med Libr Assoc. 2000 July; 88(3): 265–266 [

4] M. Zakova, L. Novakova, O. Stepankova, T. Markova. Ontologies in Annotation and Analysis of Medical Records, 2008.

[5] D. Jurafsky, J.H. Martin. Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition, Prentice-Hall, ISBN: 0-13- 095069-6, 2000.

Štítky
Biomedicína
Článek Editorial

Článok vyšiel v časopise

Lékař a technika

Číslo 2

2012 Číslo 2

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