ChristinaErler

M. Sc. Christina Erler

  • Engesserstr. 5

    76131 Karlsruhe

Research

Distributed and decentralized health data infrastructures

To improve healthcare through digitization, the networking of healthcare facilities is becoming increasingly important. Due to the sensitivity of the extremely sensitive personal health data, the protection and privacy of this during storage, transmission and processing plays a fundamental role in the design of health data infrastructures. But what would a technical system for data storage and exchange look like so that it can be used efficiently and for the benefit of patients in the context of care provided by medical professionals? With novel data management, access and identity approaches (e.g. self-sovereign identities, peer-to-peer) based on blockchain and distributed ledger technologies, we want to contribute to the design of future networking solutions.

Data trusts and data donation

The linkage and analysis of medical data by researchers offer enormous potential for medical insights and technical innovation (e.g., for AI approaches) through insight into a person's physical and mental health status and lifestyle. Often, data from diagnostics and studies recorded in medical facilities have not been recorded for secondary use (resulting in poor data quality) or are not available for such use due to lack of consent for research. The goal is to design and develop a data trustee platform which, as a neutral trust authority, reconciles the needs and interests of the stakeholders involved and allows privacy-preserving data access and yet efficient use by research.

Digital sovereignty

The value of data is becoming increasingly clear in the digital age in the context of artificial intelligence and a daily increase in the amount of information available. Accordingly, the need to protect and secure one's own data is growing among the population. Possibilities for the self-sovereign management of health data represent a key element for self-determined and trusting data use and management. To this end, appropriate digital approaches to access and consent management must be designed so that they can be applied in a user-friendly manner by society at large.

Publications


2023
Book Chapters
Threat Modeling to Design a Decentralized Health Data Management Application
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
2022
Journal Articles
Digital Health Apps in the Context of Dementia: Questionnaire Study to Assess the Likelihood of Use Among Physicians
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
2021
Conference Papers
A Decision Process Model for De-Identification Methods on the Example of Psychometric Data
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
Data-driven development of digital health applications on the example of dementia screening
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
Data Sovereignty in Data Donation Cycles - Requirements and Enabling Technologies for the Data-driven Development of Health Applications
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
2020
Conference Papers
Integration, Execution and Monitoring of Business Processes with Chaincode
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
How to disclose selective Information from permissioned DLT-based Traceability Systems?
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
Distributed Ledger Technology for the systematic Investigation and Reduction of Information Asymmetry in Collaborative Networks
Schinle, M.; Erler, C.; Stork, W.
2020. 53rd Hawaii International Conference on System Sciences (HICSS 2020), Grand Wailea, HI, January 7-10, 2020
2019
Journal Articles
Suitability of Virtual Reality for Vision Simulation – A Case Study using Glaucomatous Visual Fields
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
Posters
Suitability of Virtual Reality for Vision Simulation – A Case Study using Glaucomatous Visual Fields
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
2018
Conference Papers
Realistic Simulation of Progressive Vision Diseases in Virtual Reality
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