Toward the Automatic Generation of the Entry Level CDA Documents
4
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Objective: CDA (Clinical Document Architecture) is a markup standard for clinical document exchange. In order to increase the semantic interoperability of documents exchange, the clinical statements in the narrative blocks should be encoded with code values. Natural language processing (NLP) is required in order to transform the narrative blocks into the coded elements in the level 3 CDA documents. In this paper, we evaluate the accuracy of text mapping methods which are based on NLP. Methods: We analyzed about one thousand discharge summaries to know their characteristics and focused the syntactic patterns of the diagnostic sections in the discharge summaries. According to the patterns, different rules were applied for matching code values of Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT). Results: The accuracy of matching was evaluated using five-hundred discharge summaries. The precision was as follows: 86.5% for diagnosis, 61.8% for chief complaint, 62.7%, for problem list, and 64.8% for discharge medication. Conclusion: The text processing method based on the pattern analysis of a clinical statement can be effectively used for generating CDA entries
Abstract
Objective: CDA (Clinical Document Architecture) is a markup standard for clinical document exchange. In order to increase the semantic interoperability of documents exchange, the clinical statements in the narrative blocks should be encoded with code values. Natural language processing (NLP) is required in order to transform the narrative blocks into the coded elements in the level 3 CDA documents. In this paper, we evaluate the accuracy of text mapping methods which are based on NLP. Methods: We analyzed about one thousand discharge summaries to know their characteristics and focused the syntactic patterns of the diagnostic sections in the discharge summaries. According to the patterns, different rules were applied for matching code values of Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT). Results: The accuracy of matching was evaluated using five-hundred discharge summaries. The precision was as follows: 86.5% for diagnosis, 61.8% for chief complaint, 62.7%, for problem list, and 64.8% for discharge medication. Conclusion: The text processing method based on the pattern analysis of a clinical statement can be effectively used for generating CDA entries
참고문헌 (12)
- Paterson GI, "Using theXML-based clinical document architecture for exchange of structured discharge summaries", Proceedings of the 35th Hawaii International Conference on System Sciences, pp.1200~1209 (2002)
- Dalmiani S, "HL7 clinical document architecture to share structured inwide hospital information systems", 22nd International Conference (2004)
- Heitmann KU, "Discharge and referral data exchange using global standards-the SCIPHOX project in Germany", Study Health Technol Inform, 90, pp.679~684 (2002)
- Jung SW, "Development of CDA authoring Tool: CDA Studio", Proceedings of 7th International Workshop on HEALTHCOM2005, pp.307~310 (2005)
- Choe MS, "CD Astudio: development of an integrated tool for generating CDA documents", Journal of Korean Society of Medical Informatics, 11(2), pp.130~134 (2005)
- 서화정, "임상문서구조 표준을 따르는 퇴원요약정보의 구조적 제약사항 표현", Healthcare Informatics Research, 11(2), pp.189~197 (2005), 대한의료정보학회
- 김일광, "평생전자건강진료기록을 위한 진료문서 등록저장소 시스템", Healthcare Informatics Research, 11(2), pp.199~211 (2005), 대한의료정보학회
- Aronson AR, "Effective mapping of biomedical text to the UMLS metathesaurus: the MetaMap program", AMIA Symposium Hanley & Belfus, pp.17~21 (2001)
- Huang Y, "Apilot study of contextual UMLS indexing to improve the precision of concept-based representation in XML-structured clinical radiology reports", J Am Med Inform Assoc., 10, pp.580~587 (2003)
- Friedman C, "Automated encoding of clinical documents based on natural language processing", J Am Med Inform Assoc, 11(5), pp.392~402 (2004)