의료서술문 처리를 위한 온톨로지 기반 제한자연어 개발

하병현1), 김명기*2), 김홍기3), 이재일4)

1)의과학지식 및 온톨로지 관리기술 개발센터
2)서울대학교 치과대학 치과경영정보학교실
3)서울대학교 치과대학 치과의료와정보기술전공
4)서울대학교 치과대학 구강병리학교실

Abstract : In nature, the majority of medical record comprises of free narrative text. However, medical narrative is still significant obstacle to develop effective electronic medical record. Current challenges for computerizing medical narratives are threefold: to fulfill the reusability of structured representation, to preserve the habitual practice of clinicians who have been familiar with paper-based charts, and to minimize the burden of data entry within acceptable range. Dealing with the above challenges, this study developed an ontology-based controlled natural language which enables clinicians to record medical narratives without additional effort. It is expected that cost of recording medical narratives might be considerably reduced and data of good quality can be easily collected.
keyword : EMR, Medical Narrative, Controlled Natural Language, Ontology

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