3LGM2IHE: Requirements for Data-Protection-Compliant Research Infrastructures—A Systematic Comparison of Theory and Practice-Oriented Implementation

Abstract Objectives  The TMF (Technology, Methods, and Infrastructure for Networked Medical Research) Data Protection Guide (TMF-DP) makes path-breaking recommendations on the subject of data protection in research projects. It includes comprehensive requirements for applications such as patient lis...

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Veröffentlicht in:Methods of information in medicine 2022-12, Vol.61 (S 02), p.e134-e148
Hauptverfasser: Gött, Robert, Stäubert, Sebastian, Strübing, Alexander, Winter, Alfred, Merzweiler, Angela, Bergh, Björn, Kaulke, Knut, Bahls, Thomas, Hoffmann, Wolfgang, Bialke, Martin
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Sprache:eng
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Zusammenfassung:Abstract Objectives  The TMF (Technology, Methods, and Infrastructure for Networked Medical Research) Data Protection Guide (TMF-DP) makes path-breaking recommendations on the subject of data protection in research projects. It includes comprehensive requirements for applications such as patient lists, pseudonymization services, and consent management services. Nevertheless, it lacks a structured, categorized list of requirements for simplified application in research projects and systematic evaluation. The 3LGM2IHE (“Three-layer Graphbased meta model – Integrating the Healthcare Enterprise [IHE] ” ) project is funded by the German Research Foundation (DFG). 3LGM2IHE aims to define modeling paradigms and implement modeling tools for planning health care information systems. In addition, one of the goals is to create and publish 3LGM 2 information system architecture design patterns (short “design patterns”) for the community as design models in terms of a framework. A structured list of data protection-related requirements based on the TMF-DP is a precondition to integrate functions (3LGM 2 Domain Layer) and building blocks (3LGM 2 Logical Tool Layer) in 3LGM 2 design patterns. Methods  In order to structure the continuous text of the TMF-DP, requirement types were defined in a first step. In a second step, dependencies and delineations of the definitions were identified. In a third step, the requirements from the TMF-DP were systematically extracted. Based on the identified lists of requirements, a fourth step included the comparison of the identified requirements with exemplary open source tools as provided by the “Independent Trusted Third Party of the University Medicine Greifswald” (TTP tools). Results  As a result, four lists of requirements were created, which contain requirements for the “patient list”, the “pseudonymization service”, and the “consent management”, as well as cross-component requirements from the TMF-DP chapter 6 in a structured form. Further to requirements (1), possible variants (2) of implementations (to fulfill a single requirement) and recommendations (3) were identified. A comparison of the requirements lists with the functional scopes of the open source tools E-PIX (record linkage), gPAS (pseudonym management), and gICS (consent management) has shown that these fulfill more than 80% of the requirements. Conclusions  A structured set of data protection-related requirements facilitates a systematic evaluation of implementations
ISSN:0026-1270
2511-705X
DOI:10.1055/a-1950-2791