Summary of the dissertation
Christina Erler's doctoral thesis systematically examines the architecture of decentralized health data infrastructures using blockchain technology. The aim of the thesis is to develop a decision-making model that enables a structured approach to identifying and evaluating architectural decisions, thereby supporting the architecture of decentralized systems. The model is validated using two use cases: a system architecture for self-sovereign networking of primary care and a data trust model for the secondary use of medical data for research purposes. In the use cases, key requirements and threats are analyzed and system architectures are derived based on this analysis. Finally, the decision model is methodically embedded in the software architecture process to ensure its practical applicability and reusability.
Publications
Erler, C.
2025, August 4. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000183771
Erler, C.; Biri, G.; Perret, S.-C.; Stork, W.
2024. Proceedings of the 57th Annual Hawaii International Conference on System Sciences : Hilton Hawaiian Village Waikiki Beach Resort, January 3-6, 2024. Ed.: T. Bui, 3587–3595, IEEE Computer Society
Erler, C.; Hu, S.; Danelski, A.; Stork, W.; Sunyaev, A.; Gersch, M.
2023. Information Technology and Systems – ICITS 2023. Vol.: 2. Ed.: Á. Rocha, 443–455, Springer International Publishing. doi:10.1007/978-3-031-33261-6_38
Schinle, M.; Erler, C.; Kaliciak, M.; Milde, C.; Stock, S.; Gerdes, M.; Stork, W.
2022. JMIR Formative Research, 6 (6), Art.-Nr.: e35961. doi:10.2196/35961
Schinle, M.; Erler, C.; Leenstra, S.; Stock, S.; Gerdes, M.; Stork, W.
2021. 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICECCME52200.2021.9591139
Schinle, M.; Erler, C.; Schneider, T.; Plewnia, J.; Stork, W.
2021. 2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA) : 2021 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2021, Virtual, 23 June 2021 - 25 June 2021, Art.-Nr.: 9478676, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/MeMeA52024.2021.9478676
Schinle, M.; Erler, C.; Stork, W.
2021. Proceedings of the 54th Hawaii International Conference on System Sciences, 3972–3981. doi:10.24251/HICSS.2021.482
Schinle, M.; Erler, C.; Andris, P. N.; Stork, W.
2020. 2nd Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2020, Paris, France, 28 - 30 September 2020, 63–70. doi:10.1109/BRAINS49436.2020.9223283
Schinle, M.; Erler, C.; Vetter, A. R.; Stork, W.
2020. 2020 IEEE International Conference on Decentralized Applications and Infrastructures (DAPPS), Oxford, United Kingdom, 3-6 Aug. 2020, 153–158, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/DAPPS49028.2020.00020
Schinle, M.; Erler, C.; Stork, W.
2020. 53rd Hawaii International Conference on System Sciences (HICSS 2020), Grand Wailea, HI, January 7-10, 2020
Stock, S. C.; Erler, C.; Stork, W.; Labuz, G.; Son, H. S.; Khoramnia, R.; Auffarth, G. U.
2019. Investigative ophthalmology & visual science, 60 (9), Abstract 2441
Stock, S. C.; Erler, C.; Stork, W.; Labuz, G.; Son, H. S.; Khoramnia, R.; Auffarth, G. U.
2019. ARVO Annual Meeting (2019), Vancouver, Canada, April 26–27, 2019
Stock, S.; Erler, C.; Stork, W.
2018. Proceedings of the 24th ACM Symposium on Virtual Reality Software and Technology, 117:1–117:2, Association for Computing Machinery (ACM). doi:10.1145/3281505.3283395