Description
Chair: Hendrik Nolte (GWDG), James Bowden (UMG)
Content/Abstract:
This session focusses on the integration and processing of health data. We are looking for talks from various related topics which explore the various challenges and some employed solutions for integrating or processing health data.
Topics of interest include:
- Integration process of health data with the use of research data management systems (e.g. XNAT, ORTHANC, the Leibniz Data Manager, or a broader data lake)
- Security and legal aspects (e.g. encryption, anonymization, access control, AAI, pseudonymization, patient consent, enforcing the correct processing of patient consent revocations)
- How can researchers actually make use of these integrated data sets, (e.g. example use cases when working with XNAT, data stored in the BIDS format, or any other use cases where cross-data source, or cross domain data is processed)
- Challenges concering processing and scalability
Physiological measurements are permanently acquired in daily clinical practice to aid medical staff in decision making.Electrocardiography (ECG) is one of the most commonly used measurements and represents the physiological activity of the heart. It is widely used in emergency care as well as prevention and in clinical studies. Therefore, it offers large potential for data-driven research,...
Engineered human myocardium (EHMs) provides unique opportunity for modeling cardiac development, disease, and drug testing. EHMs, derived from stem cells and cultured over extended periods, closely mimic the structure and function of matured cardiac tissue. This cardiac 3D model offers an innovative platform for exploring cardiac biology and developing novel therapeutic strategies.
A critical...
Cardiovascular diseases (CVDs) represent a global health challenge, causing approximately 17.9 million deaths worldwide in 2019, including 158,359 deaths in Germany. Traditional risk stratification methods focusing on age, blood pressure, and cholesterol levels often result in inaccurate risk assessments. The goal of stratification is to enable more precise and individualized diagnoses,...
Research Data Management encompasses the systematic organization, storage, preservation, publication and re-use of data throughout a research project's lifecycle. It aims to ensure effective handling, maintenance, and accessibility of data, promoting reproducibility, transparency, and integrity in scientific research. The surge in digital research data led to the need for standardized...
Randomized controlled trials (RCTs) are the gold standard for evaluating the efficacy and safety of new medical interventions, including medical imaging technologies that are essential for diagnosis and treatment. The integrity and reliability of RCT results depend heavily on the quality and quantity of data collected. Imaging RCTs have the potential to transform patient care, both in their...
