J Biomed Inform - A comparison of two methods for retrieving ICD-9-CM data: the effect of using an ontology-based method for handling terminology changes.

Tópicos

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Resumo

JECTIVE: Most existing controlled terminologies can be characterized as collections of terms, wherein the terms are arranged in a simple list or organized in a hierarchy. These kinds of terminologies are considered useful for standardizing terms and encoding data and are currently used in many existing information systems. However, they suffer from a number of limitations that make data reuse difficult. Relatively recently, it has been proposed that formal ontological methods can be applied to some of the problems of terminological design. Biomedical ontologies organize concepts (embodiments of knowledge about biomedical reality) whereas terminologies organize terms (what is used to code patient data at a certain point in time, based on the particular terminology version). However, the application of these methods to existing terminologies is not straightforward. The use of these terminologies is firmly entrenched in many systems, and what might seem to be a simple option of replacing these terminologies is not possible. Moreover, these terminologies evolve over time in order to suit the needs of users. Any methodology must therefore take these constraints into consideration, hence the need for formal methods of managing changes. Along these lines, we have developed a formal representation of the concept-term relation, around which we have also developed a methodology for management of terminology changes. The objective of this study was to determine whether our methodology would result in improved retrieval of data.DESIGN: Comparison of two methods for retrieving data encoded with terms from the International Classification of Diseases (ICD-9-CM), based on their recall when retrieving data for ICD-9-CM terms whose codes had changed but which had retained their original meaning (code change).MEASUREMENTS: Recall and interclass correlation coefficient.RESULTS: Statistically significant differences were detected (p<0.05) with the McNemar test for two terms whose codes had changed. Furthermore, when all the cases are combined in an overall category, our method also performs statistically significantly better (p<0.05).CONCLUSION: Our study shows that an ontology-based ICD-9-CM data retrieval method that takes into account the effects of terminology changes performs better on recall than one that does not in the retrieval of data for terms whose codes had changed but which retained their original meaning.

Resumo Limpo

jectiv exist control terminolog can character collect term wherein term arrang simpl list organ hierarchi kind terminolog consid use standard term encod data current use mani exist inform system howev suffer number limit make data reus difficult relat recent propos formal ontolog method can appli problem terminolog design biomed ontolog organ concept embodi knowledg biomed realiti wherea terminolog organ term use code patient data certain point time base particular terminolog version howev applic method exist terminolog straightforward use terminolog firm entrench mani system might seem simpl option replac terminolog possibl moreov terminolog evolv time order suit need user methodolog must therefor take constraint consider henc need formal method manag chang along line develop formal represent conceptterm relat around also develop methodolog manag terminolog chang object studi determin whether methodolog result improv retriev datadesign comparison two method retriev data encod term intern classif diseas icdcm base recal retriev data icdcm term whose code chang retain origin mean code changemeasur recal interclass correl coefficientresult statist signific differ detect p mcnemar test two term whose code chang furthermor case combin overal categori method also perform statist signific better pconclus studi show ontologybas icdcm data retriev method take account effect terminolog chang perform better recal one retriev data term whose code chang retain origin mean

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