Subword-based Semantic Retrieval of Clinical and Bibliographic Documents

P. Daumke; S. Schulz; M. L. Müller; W. Dzeyk; L. Prinzen; E. J. Pacheco; P. Secco Cancian; P. Nohama; K. Markó

doi:10.3414/ME9303

Methods of Information in Medicine, Table of Contents

Methods Inf Med 2010; 49(02): 141-147
DOI: 10.3414/ME9303

Special Topic – Original Articles

Schattauer GmbH

Subword-based Semantic Retrieval of Clinical and Bibliographic Documents

Authors

P. Daumke

¹AVERBIS GmbH, Freiburg, Germany

²Freiburg University Hospital, Medical Informatics Group, Freiburg, Germany
S. Schulz

²Freiburg University Hospital, Medical Informatics Group, Freiburg, Germany
M. L. Müller

³Freiburg University Hospital, Department of Dermatology, Freiburg, Germany
W. Dzeyk

⁴German National Library of Medicine, Cologne, Germany
L. Prinzen

⁵Bertelsmann Stiftung, Gütersloh, Germany
E. J. Pacheco

⁶Paraná Catholic University, Health Informatics Laboratory, Curitiba, Brazil

⁷Universidade Tecnológica Federal do Paraná, CPGEI, Curitiba, Brazil
P. Secco Cancian

⁶Paraná Catholic University, Health Informatics Laboratory, Curitiba, Brazil
P. Nohama

⁶Paraná Catholic University, Health Informatics Laboratory, Curitiba, Brazil

⁷Universidade Tecnológica Federal do Paraná, CPGEI, Curitiba, Brazil
K. Markó

¹AVERBIS GmbH, Freiburg, Germany

²Freiburg University Hospital, Medical Informatics Group, Freiburg, Germany

Abstract

Summary

Objectives: The increasing amount of electronically available documents in bibliographic databases and the clinical documentation requires user-friendly techniques for content retrieval.

Methods: A domain-specific approach on semantic text indexing for document retrieval is presented. It is based on a subword thesaurus and maps the content of texts in different European languages to a common interlingual representation, which supports the search across multilingual document collections.

Results: Three use cases are presented where the semantic retrieval method has been implemented: a bibliographic database, a department EHR system, and a consumer-oriented Web portal.

Conclusions: It could be shown that a semantic indexing and retrieval approach, the performance of which had already been empirically assessed in prior studies, proved useful in different prototypical and routine scenarios and was well accepted by several user groups.

Keywords

Thesauri - semantic information retrieval - document indexing - cross-language information retrieval - bibliographic databases - consumer health informatics - electronic health record

Full Text

References

References
1 Scott RE. e-Records in health – Preserving our future. Int J Med Inform 2007; 76 5–6 427-431.
2 Lobach DF, Detmer DE. Research Challenges for Electronic Health Records. American Journal of Preventive Medicine 2007; 32 5, Suppl 1 S104-S11.
3 Wen H-C, Ho Y-S, Jian W-S, Li H-C, Hsu Y-HE. Scientific production of electronic health record research, 1991– 2005. Computer Methods and Programs in Biomedicine 2007; 86 (02) 191-196.
4 Markó K, Schulz S, Medelyan O, Hahn U. Bootstrapping Dictionaries for Cross-Language Information Retrieval. Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Salvador, Brasil, 2005 pp 528-535.
5 Honeck M, Hahn U, Klar R, Schulz S. Text Retrieval Based on Medical Subwords. In: Surjan G, Engelbrecht R, McNair P. (eds). Health Data in the Information Society. Proceedings of the MIE2002. Amsterdam: IOS Press; 2002. pp 241-245.
6 Oard DW, He D, Wang J. User-assisted query translation for interactive cross-language information retrieval. Information Processing & Management 2008; 44 (01) 181-211.
7 Gey FC, Kando N, Peters C. Cross-Language Information Retrieval: the way ahead. Information Processing & Management 2005; 41 (03) 415-431.
8 Kishida K. Technical issues of cross-language information retrieval: a review. Pergamon Press, Inc.; 2005. pp 433-455.
9 Franz M, McCarley JS, Ward RT. Ad hoc, cross-language and spoken document information retrieval at IBM. TREC-8. Gaithersburg, MD: National Institute of Standards and Technology. 2000
10 Markó K, Hahn U, Schulz S, Daumke P, Nohama P. Interlingual Indexing across Different Languages. 7th International Conference “Recherche d’Information Assistée par Ordinateur” (RIAO’04). 2004. Avignon, France: Proceedings of RIAO’04; 2004. pp 82-99.
11 K. Markó P, Daumke S, Schulz R, Klar U. Hahn. Large-Scale Evaluation of a Medical Cross-Language Information Retrieval System. Proceedings of the 12th World Congress on Medical Informatics, Brisbane, Australia (Studies in Health Technology and Informatics, Vol. 129). 2007 pp 392-396.
12 Markó K, Schulz S, Hahn U. Unsupervised Multi-lingual Word Sense Disambiguation via an Interlingua. Proceedings of the 20th National Conference on Artificial Intelligence (AAAI ’05), Pittsburgh, Pennsylvania. 2005 pp 1075-1080.
13 Lewandowski D. Mit welchen Kennzahlen lässt sich die Qualität von Suchmaschinen messen?. In: Die Macht der Suchmaschinen. / The Power of Search Engines. Machill M, Beiler M. editors. Cologne: Herbert von Halem Verlag; 2007. pp 243-258.
14 Flavián C, Guinalíu M, Guerra R. The role played by perceived usability, satisfaction and consumer trust on website loyalty. Information & Management 2006; 43: 1-14.
15 Dzeyk W. Vertrauen in Internetangebote. Saarbrücken: VDM Verlag; 2007
16 Herskovic JR, Tanaka LY, Hersh W, Bernstam EV. A Day in the Life of PubMed: Analysis of a Typical Day’s Query Log. J Am Med Inform Assoc 2007; 14: 212-220.
17 Rustemeyer R. Praktisch-methodische Schritte der Inhaltsanalyse. Eine Einführung am Beispiel der Analyse von Interviewtexten. Münster: Aschendorff; 1992
18 Davies K. The information-seeking behaviour of doctors: a review of evidence. Health Information and Libraries Journal 2007; 24: 78-94.
19 Wirtz M, Caspar F. Beurteilerübereinstimmung und Beurteilerreliabilität. Methoden zur Bestim-mung und Verbesserung der Zuverlässigkeit von Einschätzungen mittels Kategoriensystemen und Ratingskalen. Göttingen: Hogrefe; 2002
20 Koch O, Kaltenborn R. Mehr Zeit für Patienten durch bessere Information. Deutsches Ärzteblatt 2005; 28-29: A2008-2011.
21 Waegemann CP. The vision of electronic health records. J Med Pract Manage 2002; 18 (02) 63-65.
22 Waegemann CP. The five levels of electronic health records. MD Comput 1996; 13 (03) 199-203.
23 HIMSS Electronic Health Record, Definitional Model. http://www.himss.org/content/files/EHRAttributes.pdf. Last accessed: January 2009
24 Dolin RH, Alschuler L, Boyer S, Beebe C, Behlen FM, Biron PV, Shabo SA. HL7 Clinical Document Architecture, Release 2. J Am Med Inform Assoc 2006; 13 (01) 30-39.
25 Müller ML, Uckert F, Bürkle T, Prokosch HU. Cross-institutional data exchange using the clinical document architecture (CDA). Int J Med Inform 2005; 74 2–4 245-256.
26 Scheinfeld N. Photographic images, digital imaging, dermatology, and the law. Arch Dermatol 2004; 140 (04) 473-476.
27 The Cochrane library. http://www.cochrane.org.
28 Weisse Liste. http://weisse-liste.de.
29 Klassifikationen im Gesundheitswesen.. Deutsches Institut für Medizinische Dokumentation und Information (DIMDI). http://www.dimdi.de/static de/klassi/index.htm.