PatientsLikeMe: Consumer Health Vocabulary as a Folksonomy
PatientsLikeMe: Consumer Health Vocabulary as a Folksonomy
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发表时间：
2008-11
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通讯作者：
Catherine Arnott-Smith;P. Wicks
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作者：
Catherine Arnott-Smith;P. Wicks
PatientsLikeMe是一个在线社交网络社区。亚社区集中在三种诊断上：肌萎缩侧索硬化症、多发性硬化症和帕金森氏病。社区成员可以用自然语言在网上描述他们的症状，从而产生可供临床分析和其他用户浏览以找到像我这样的患者的大众分类标签。43%的PatientsLikeMe症状术语在统一医学语言系统Metathesaurus(国家医学图书馆；2007AC)中以准确(24%)或同义(19%)的术语出现。略多于一半的症状术语要么与UMLS不匹配，要么无法分类。临床词汇表SNOMED CT占匹配词条的93%。对失败匹配的分析揭示了在线患者沟通面临的挑战，不仅是与医疗专业人员沟通，也是与其他患者沟通。在Web 2.0环境中，消费者和专业人士之间的壁垒降低了，知识表示的不足不仅影响专业人士，也影响消费者。
PatientsLikeMe is an online social networking community. Subcommunities center on three diagnoses: Amyotrophic Lateral Sclerosis, Multiple Sclerosis and Parkinsons Disease. Community members can describe their symptoms online in natural language, resulting in folksonomic tags available for clinical analysis and for browsing by other users to find patients like me. Forty-three percent of PatientsLikeMe symptom terms are present as exact (24%) or synonymous (19%) terms in the Unified Medical Language System Metathesaurus (National Library of Medicine; 2007AC). Slightly more than half of the symptom terms either do not match the UMLS, or are unclassifiable. A clinical vocabulary, SNOMED CT, accounts for 93% of the matching terms. Analysis of the failed matches reveals challenges for online patient communication, not only with healthcare professionals, but with other patients. In a Web 2.0 environment with lowered barriers between consumers and professionals, a deficiency in knowledge representation affects not only professionals, but consumers as well.