Tuttle M S, Olson N E, Keck K D, Cole W G, Erlbaum M S, Sherertz D D, Chute C G, Elkin P L, Atkin G E, Kaihoi B H, Safran C, Rind D, Law V
Lexical Technology, Inc., Alameda, CA, USA.
Methods Inf Med. 1998 Nov;37(4-5):373-83.
Patient descriptors, or "problems," such as "brain metastases of melanoma" are an effective way for caregivers to describe patients. But most problems, e.g., "cubital tunnel syndrome" or "ulnar nerve compression," found in problem lists in an Electronic Medical Record (EMR) are not comparable computationally--in general, a computer cannot determine whether they describe the same or a related problem, or whether the user would have preferred "ulnar nerve compression syndrome." Metaphrase is a scalable, middleware component designed to be accessed from problem-manager applications in EMR systems. In response to caregivers' informal descriptors it suggests potentially equivalent, authoritative, and more formally comparable descriptors. Metaphrase contains a clinical subset of the 1997 UMLS Metathesaurus and some 10,000 "problems" from the Mayo Clinic and Harvard Beth Israel Hospital. Word and term completion, spelling correction, and semantic navigation, all combine to ease the burden of problem conceptualization, entry and formalization.
患者描述符,即“问题”,如“黑色素瘤脑转移”,是护理人员描述患者的有效方式。但电子病历(EMR)问题列表中发现的大多数问题,例如“肘管综合征”或“尺神经受压”,在计算上无法进行比较——一般来说,计算机无法确定它们是否描述了相同或相关的问题,或者用户是否更喜欢“尺神经压迫综合征”。元短语是一个可扩展的中间件组件,设计用于从EMR系统中的问题管理应用程序进行访问。针对护理人员的非正式描述符,它会建议可能等效、权威且更具形式可比性的描述符。元短语包含1997年《统一医学语言系统词库》的临床子集以及来自梅奥诊所和哈佛贝斯以色列医院的约10000个“问题”。单词和术语补全、拼写纠正以及语义导航,都有助于减轻问题概念化、录入和形式化的负担。