Rocha R A, Huff S M, Haug P J, Evans D A, Bray B E
Departamento de Cirurgia, Universidade Federal do Paraná, Curitiba PR, Brazil.
Methods Inf Med. 1998 Nov;37(4-5):477-90.
An essential step toward the effective processing of the medical language is the development of representational models that formalize the language semantics. These models, also known as semantic data models, help to unlock the meaning of descriptive expressions, making them accessible to computer systems. The present study tries to determine the quality of a semantic data model created to encode chest radiology findings. The evaluation methodology relied on the ability of physicians to extract information from textual and encoded representations of chest X-ray reports, whilst answering questions associated with each report. The evaluation demonstrated that the encoded reports seemed to have the same information content of the original textual reports. The methodology generated useful data regarding the quality of the data model, demonstrating that certain segments were creating ambiguous representations and that some details were not being represented.
迈向有效处理医学语言的关键一步是开发形式化语言语义的表示模型。这些模型，也称为语义数据模型，有助于揭示描述性表达的含义，使计算机系统能够理解。本研究试图确定为编码胸部放射学检查结果而创建的语义数据模型的质量。评估方法依赖于医生从胸部X光报告的文本和编码表示中提取信息的能力，同时回答与每份报告相关的问题。评估表明，编码后的报告似乎与原始文本报告具有相同的信息内容。该方法生成了有关数据模型质量的有用数据，表明某些部分产生了模糊的表示，并且一些细节未得到体现。
