Holtrup Lea, Varghese Julian, Schuster Alexander K, Poschkamp Broder, Hampf Christopher, Waltemath Dagmar, Wahle Leonie, Lipprandt Myriam, Merle David A, Berens Philipp, Kohlbacher Oliver, Kakkassery Vinodh, Bartos Martin, Ziemssen Focke, Wendt Thomas, Hoffmann Katja, Eter Nicole
Klinik für Augenheilkunde, Universitätsklinikum Münster, Domagkstr. 15, 48149, Münster, Deutschland.
Institut für Medizinische Informatik, Universität Münster, Münster, Deutschland.
Ophthalmologie. 2025 Apr;122(4):270-277. doi: 10.1007/s00347-024-02135-0. Epub 2024 Nov 14.
The evaluation of real-world data (RWD) enables insights to be gained from a wide range of patient data collected in routine clinical practice. In addition, multicenter analyses represent a broad and representative patient population and have the potential to capture the actual treatment situation. As a basis for this, the definition of datasets and an infrastructure for data exchange is necessary. Data integration centers (DIC) have already been established at (university) hospitals throughout Germany in order to extract RWD for scientific analyses from the various source systems and integrate them into research-compatible data infrastructures. The project described here aims to demonstrate the added value of this data integration using a case of application in ophthalmology, defining a core dataset as an ophthalmology extension module and establishing a cross-site data exchange infrastructure. As a first step, the treatment success of eye diseases treated with intravitreal injection (IVI) should be improved. To achieve this goal a dashboard for clinical data is provided that clearly visualizes the merged data. Furthermore, algorithms will be developed to identify new imaging biomarkers that can be used for treatment monitoring and predict treatment outcomes.
对真实世界数据(RWD)的评估有助于从日常临床实践中收集的广泛患者数据中获取见解。此外,多中心分析代表了广泛且具有代表性的患者群体,有潜力捕捉实际治疗情况。以此为基础,数据集的定义和数据交换基础设施是必要的。德国各地的(大学)医院已经设立了数据整合中心(DIC),以便从各种源系统中提取RWD用于科学分析,并将其整合到与研究兼容的数据基础设施中。本文所述项目旨在通过眼科的一个应用案例展示这种数据整合的附加价值,将一个核心数据集定义为眼科扩展模块,并建立跨站点数据交换基础设施。作为第一步,应提高玻璃体内注射(IVI)治疗眼病的成功率。为实现这一目标,提供了一个临床数据仪表板,可清晰直观地显示合并后的数据。此外,还将开发算法以识别可用于治疗监测和预测治疗结果的新影像生物标志物。