第40回医療情報学連合大会（第21回日本医療情報学会学術大会）
2020年11月18日〜11月23日アクトシティ浜松・コンベンションセンター
第40回医療情報学連合大会（第21回日本医療情報学会学術大会）
2020年11月18日〜11月23日アクトシティ浜松・コンベンションセンター
[SKS-3-01]The Potential Roles of ICD-11 in Translational Research: Architectural Features that Support Data Science
*Christopher G. Chute1(1. Professor of Medicine, Public Health and Nursing, Johns Hopkins University, USA)
キーワード：
ICD-11、Architecture of the Classification、Data Science
The International Classification of Disease (ICD) has progressed from its mid-nineteenth century origins as a short list of causes of death, to become the dominant classification of human diseases, syndromes, and conditions around the world. Despite this profound increase in content and impact over more than a century between the initial versions of the International Statistical List and the release of ICD-10 in 1990, there as virtually no evolution of the structure or architecture of the classification. It remained essentially a table of terms with associated code values and very little more. Some have characterized the ICD as a 16th century spreadsheet, harkening to the structure of the ICD’s ancient predecessor, the London Bills of Mortality established during the reign of Henry VIII of England.