Thélot B
Hôpitaux de Paris, Service des Etudes.
C R Acad Sci III. 1990;310(8):333-8.
The necessity for confidentiality entails that most medical data on files do not allow for a precise identification of patients. A statistical pattern has been defined to assess the average difference between the real (unknown) number of patients in the file and the approximate number derived by linkage from indirect available data (date of birth, sex,...). An example is here given, which allows for the epidemiological use of anonymous data concerning hospitalized patients at the Assistance Publique-Hôpitaux de Paris. This method is of general application for all files of anonymous data.
保密性的要求意味着档案中的大多数医疗数据无法精确识别患者。已定义一种统计模式，以评估档案中实际（未知）患者数量与通过间接可用数据（出生日期、性别等）关联得出的近似数量之间的平均差异。此处给出一个示例，该示例允许对巴黎公立医院集团住院患者的匿名数据进行流行病学应用。此方法普遍适用于所有匿名数据档案。
