Dugas Martin
Institute of Medical Informatics, University of Münster, Germany.
Stud Health Technol Inform. 2013;192:899-902.
Clinical phenotypes are very complex and not well described. For instance, more than 100.000 biomedical concepts are needed to describe clinical properties of patients. At present, information systems dealing with clinical phenotype data are based on secret, heterogeneous and incompatible data models. This is the root cause for the well-known grand challenge of semantic interoperability in healthcare: data exchange and analysis of medical information systems has major limitations. This problem slows down medical progressand wastes time of health care professionals. A large-scale open metadata initiative can foster exchange, discussion and consensus regarding data models for clinical phenotypes. This would be an important contribution to improve information systems in healthcare and to solve the grand challenge of semantic interoperability.
临床表型非常复杂且描述不充分。例如,需要超过10万个生物医学概念来描述患者的临床特征。目前,处理临床表型数据的信息系统基于保密、异构且不兼容的数据模型。这是医疗保健领域语义互操作性这一众所周知的重大挑战的根本原因:医疗信息系统的数据交换和分析存在重大局限性。这个问题减缓了医学进步,浪费了医疗保健专业人员的时间。一项大规模的开放元数据倡议可以促进关于临床表型数据模型的交流、讨论和共识。这将是对改善医疗保健信息系统以及解决语义互操作性这一重大挑战的重要贡献。