A5039000576- Biomedical Text Mining and Ontologies
- Electronic Health Records Systems
- Genomics and Rare Diseases
- Ethics in Clinical Research
- Health and Medical Studies
- Cancer Genomics and Diagnostics
- Trauma and Emergency Care Studies
- Scientific Computing and Data Management
- Privacy-Preserving Technologies in Data
- Data Quality and Management
- Bioinformatics and Genomic Networks
- Artificial Intelligence in Healthcare and Education
- Research Data Management Practices
- Radiomics and Machine Learning in Medical Imaging
- Context-Aware Activity Recognition Systems
- Clinical practice guidelines implementation
- Advanced Database Systems and Queries
- Semantic Web and Ontologies
- Machine Learning in Healthcare
- Digitalization, Law, and Regulation
- Digital Innovation in Industries
- Medical and Health Sciences Research
- Social Media in Health Education
- Health Literacy and Information Accessibility
- Digestive system and related health
University Medical Center Hamburg-Eppendorf
2021-2025
Universität Hamburg
2021-2024
German Cancer Research Center
2016-2021
Heidelberg University
2017-2021
DKFZ-ZMBH Alliance
2017-2020
Leibniz University Hannover
2016
University Medical Center of the Johannes Gutenberg University Mainz
2014-2015
Johannes Gutenberg University Mainz
2012-2015
Deutschen Konsortium für Translationale Krebsforschung
2014
University Hospital Münster
2003-2013
Primary ciliary dyskinesia (PCD) is a rare autosomal recessive disorder leading to chronic upper and lower airway disease. Fundamental data on epidemiology, clinical presentation, course treatment strategies are lacking in PCD. We have established an international PCD registry realise unmet need for platform systematically collect incidence, disease course.The was launched January 2014. used internet technology ensure easy online access using web browser under www.pcdregistry.eu. Data from...
Medical research networks rely on record linkage and pseudonymization to determine which records from different sources relate the same patient. To establish informational separation of powers, required identifying data are redirected a trusted third party that has, in turn, no access medical data. This service receives data, compares them with list already reported patient replies (new or existing) pseudonym. We found existing solutions be technically outdated, complex implement not...
Background Interpretability and intuitive visualization facilitate medical knowledge generation through big data. In addition, robustness to high-dimensional missing data is a requirement for statistical approaches in the domain. A method tailored needs of physicians must meet all abovementioned criteria. Objective This study aims develop an accessible tool visual exploration without need programming knowledge, adjusting complex parameterizations, or handling We sought use analysis using...
Abstract Precision cancer medicine aims to improve patient outcomes by providing individually tailored recommendations for clinical management based on the evaluation of biological disease profiles in multidisciplinary molecular tumor boards (MTBs). The quality MTB decisions depends comprehensive, reliable, and reproducible interpretation increasingly complex data. We developed implemented, as part a multicenter precision oncology program, Knowledge Connector (KC), decision support system...
The use of medical data for research purposes requires an informed consent the patient that is compliant with EU General Data Protection Regulation. In context multi-centre initiatives and a multitude clinical epidemiological studies scalable automatable measures digital management are required. Modular form, structure, contents render patient's reusable varying project settings in order to effectively manage minimise organisational technical efforts. Within DFG-funded "MAGIC" (Grant Number...
A great challenge in the use of standardized cancer registry data is deriving reliable, evidence-based results from large amounts data. solution could be its mapping to a common model such as OMOP, which represents knowledge unified semantic base, enabling decentralized analysis. The recently released Episode Domain OMOP CDM allows episodic modelling patient’ disease and treatment phases. In this study, we mapped oncology Domain. total 184,718 Episodes implemented, with Concept Cancer Drug...
Within translational research projects in the recent years large biobanks have been established, mostly supported by homegrown, proprietary software solutions. No general requirements for biobanking IT infrastructures published yet. This paper presents an exemplary architecture, a specification biorepository management tool and illustrations of three major types requirements.We pursued comprehensive literature review solutions established interdisciplinary expert panel creating...
Summary Background: To achieve statistical significance in medical research, biological or data samples from several bio- databanks often need to be complemented by those of other institutions. For that purpose, IT-based search services have been established locate datasets matching a given set criteria databases distributed across However, previous approaches require owners disclose information about their samples, raising barrier for participation the network. Objective: devise method...
With the increasing personalization of clinical therapies, translational research is evermore dependent on multisite cooperations to obtain sufficient data and biomaterial. Distributed networks rely availability high-quality stored in local databases operated by their member institutions. However, reusing documented independent health providers for purpose care, rather than ("secondary use"), reveal a high variability terms formats, as well poor quality, across network sites.The aim this...
The European Union considers diseases to be rare when they affect less than 5 in 10,000 people. It is estimated that there are between 5000 and 8000 different diseases. Consistent with this diversity, the quality of information available on Web varies considerably. Thus, criteria for websites about needed.The objective study was generate a catalog suitable diseases.First, relevant certificates recommendations health were identified through comprehensive search. Second, all considered each...
Clinical routine data derived from university hospitals hold immense value for health-related research on large cohorts. However, using secondary hypothesis testing necessitates adherence to scientific, legal (such as the General Data Protection Regulation, federal and state protection legislations), technical, administrative requirements. This process is intricate, time-consuming, susceptible errors.
Project goalOSSE (Open Source-Registersystem für Seltene Erkrankungen in der EU / Open Source Registry System for Rare Diseases the EU) provides patient organizations, physicians and scientists with open-source software creation of registries.As a result, national registry landscape is improved to comply European principles regarding e.g.minimum data set quality, as summarized EUCERD recommendation on rare disease registries.Also, necessary interoperability achieved facilitate federation...
Heterogeneous healthcare instance data can hardly be integrated without harmonizing its schema-level metadata. Many medical research projects and organizations use metadata repositories to edit, store reuse elements. However, existing differ regarding software implementation have shortcomings when it comes exchanging This work aims define a uniform interface with technical interlingua between the different MDR implementations in order enable facilitate exchange of metadata, query over...