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  • Title: Matching study to registry data: maintaining data privacy in a study on family based colorectal cancer.
    Author: Nasseh D, Engel J, Mansmann U, Tretter W, Stausberg J.
    Journal: Stud Health Technol Inform; 2014; 205():808-12. PubMed ID: 25160299.
    Abstract:
    Confidentiality of patient data in the field of medical informatics is an important task. Leaked sensitive information within this data can be adverse to and being abused against a patient. Therefore, when working with medical data, appropriate and secure models which serve as guidelines for different applications are needed. Consequently, this work presents a model for performing a privacy preserving record linkage between study and registry data. The model takes into account seven requirements related to data privacy. Furthermore, this model is exemplified with a study on family based colorectal cancer in Germany. The model is very strict and excludes possible violations towards data privacy protection to a reasonable degree. It should be applicable to similar use cases which are in need of a mapping between medical data of a study and a registry database.
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