Improved coding of the primary reason for visit to the emergency department using SNOMED.

Proceedings. AMIA Symposium Pub Date : 2002-01-01
James C McClay, James Campbell
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Abstract

There are over 100 million visits to emergency departments in the United States annually that could be a source of data for multiple uses including disease surveillance, health services research, quality assurance activates, and research. The patients' motivations for seeking care or the reason for visit (RFV) are recorded in every case. Efforts to utilize this rich source of data are hampered by inconsistent data entry and coding. This study analyzes ICD-9-CM, SNOMED-RT, and SNOMED-CT encoding of the RFV for accuracy. Each encoded reason for visit was compared to the text entry recorded at the time of visit to determine the closeness of fit. Each coded entry was judged to be an exact lexical match, a synonym, a broader or narrower concept or no match. SNOMED-CT was a lexical match or synonym for 93% of the text entries, while SNOMED-RT matched 87%, and ICD-9-CM matched 40%. We demonstrate that SNOMED coding of the RFV is more accurate than ICD-9-CM coding.

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改进了使用SNOMED访问急诊科的主要原因的编码。
在美国,每年有超过1亿人次到急诊科就诊,这可能是多种用途的数据来源,包括疾病监测、卫生服务研究、质量保证活动和研究。每个病例都记录了患者的求诊动机或就诊原因(RFV)。不一致的数据输入和编码阻碍了利用这一丰富数据源的努力。本研究分析了RFV的ICD-9-CM、SNOMED-RT和SNOMED-CT编码的准确性。每个编码的访问原因与访问时记录的文本条目进行比较,以确定契合度的密切程度。每个编码条目被判断为精确的词汇匹配、同义词、更宽或更窄的概念或不匹配。snome - ct对93%的文本条目是词汇匹配或同义词,而snome - rt匹配87%,ICD-9-CM匹配40%。我们证明了RFV的SNOMED编码比ICD-9-CM编码更准确。
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