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Comparison of Automated Diagnosis Coding Methods in German: SNOMED and More

This study examines three innovative methods for the automated coding of diagnoses in German free-text phrases. With the rise of legal requirements in Germany, accurate encoding of admission and discharge diseases for patients has become crucial. The methodologies explored include SNOMED encoding, morphological segmentation, and advanced retrieval algorithms. Although a satisfactory level of quality for automated coding into the ICD is yet to be achieved, findings suggest that a comprehensive thesaurus could significantly improve support for clinical terminology and facilitate easier mapping between coding systems.

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Comparison of Automated Diagnosis Coding Methods in German: SNOMED and More

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  1. Automated coding of diagnoses -three methods compared Presenter : Shao-Wei Cheng Authors : Pius Franz, Albrecht Zaiss, Stefan Schulz, Udo Hahn, Rüdiger Klar AMIA 2000

  2. Outline • Motivation • Objective • Methodology • Experiments • Conclusion • Personal Comments

  3. Motivation • In Germany, new legal requirements have raised the importance of the accurate encoding of admission and discharge diseases for in- and outpatients. ？ 3

  4. Objectives • In response to emerging needs for computer-supported tools, this paper examined three methods for automated coding of German-language free-text diagnosis phrases. √ ？

  5. Methodology • SNOMED encoding ( MSVS and MSMS ) • Preprocessing • Morphological Segmentation • SNOMED Indexing • MedSearch retrieval • Ranking of Retrieval Terms • Exploitation of the SNOMED Hierarchy • Retrieval Algorithm Stems, like gastr, hepat, diaphys, Prefixes, like a, de, in, ent, ver, anti, Infixes (e.g., o in gastr-o-intestinal) Derivational suffixes, such as io, ion, ung, Inflectional suffixes, like e, en, s, idis, ae, oris, Eponyms, digits and acronyms like AIDS, ECG, Stems  ad Prefixes  dec ( 十的意思 ) Inflectional suffixes  e  Decad ( 十個構成一組 )  Decade ( 十年 ) 5

  6. Experiments 6

  7. Conclusion • A satisfactory quality of automated encoding of free-text diagnoses into ICD is not yet reached. • From these results we deduce the following requirements for further work • With a comprehensive Thesaurus of Diagnoses, a better support of the clinical jargon will be given. • A mapping to synonymous expressions can already be done at the level of lexical morphemes. • The latter, provided a formal reconstruction of the ICD, would allow for substituting ICD disease encoding by SNOMED disease encoding.

  8. Personal Comments • Advantage • … • Drawback • … • Application • Information retrieval.

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