Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Introduction: The German Medical Informatics Initiative (MII) promotes the use of routine clinical data for research, supported by the broad consent framework to ensure patient engagement. This work proposes a data management process and reference infrastructure to improve transparency by enabling patients to track their consent history and data use in research.
Methods: We analyzed the data provision process at the University Hospital Dresden (UKD) to identify roles and data flows relevant to secondary data use under broad consent. Established MII tools in use at UKD were evaluated for their suitability in enabling secure data access.
Results: We developed a structured data access process and implemented a reference infrastructure that lays the groundwork for a potential patient-facing application providing secure access to consent and study details.
Conclusion: The reference infrastructure demonstrates how existing MII tools can be repurposed to offer patient-centric transparency in secondary data use. Future work will address scalability, access control, and ethical considerations, such as patient expectations and the clarity of information.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.3233/SHTI251405 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Whole genome sequence analysis of low-density lipoprotein cholesterol across 246 K individuals.
Genome Biol
September 2025
Center for Genomic Medicine, Cardiovascular Research Center, , Massachusetts General Hospital Simches Research Center, 185 Cambridge Street, CPZN 5.238,, Boston, MA, 02114, USA.
Background: Rare genetic variation provided by whole genome sequence datasets has been relatively less explored for its contributions to human traits. Meta-analysis of sequencing data offers advantages by integrating larger sample sizes from diverse cohorts, thereby increasing the likelihood of discovering novel insights into complex traits. Furthermore, emerging methods in genome-wide rare variant association testing further improve power and interpretability.
View Article and Find Full Text PDFMRI-negative cerebellar syndrome caused by medication-induced magnesium deficiency: a case report.
BMC Neurol
September 2025
Department of Neurology, University Hospital, RWTH Aachen University, Pauwelsstrasse 30, Aachen, North Rhine-Westphalia, Germany.
Background: Cerebellar pathologies in adults can have a wide range of hereditary, acquired and sporadic-degenerative causes. Due to the frequency in daily hospital, especially intensive care, settings, electrolyte imbalances are an important, yet rare differential diagnosis. The hypomagnesemia-induced cerebellar syndrome (HiCS) constitutes a relevant disease entity with clinical and morphological variability due to a potential progression of symptoms and a promising causal treatment.
View Article and Find Full Text PDFUse of artificial intelligence for classification of fractures around the elbow in adults according to the 2018 AO/OTA classification system.
BMC Musculoskelet Disord
September 2025
Department of Clinical Sciences at Danderyds Hospital, Department of Orthopedic Surgery, Karolinska Institutet, Stockholm, 182 88, Sweden.
Background: This study evaluates the accuracy of an Artificial Intelligence (AI) system, specifically a convolutional neural network (CNN), in classifying elbow fractures using the detailed 2018 AO/OTA fracture classification system.
Methods: A retrospective analysis of 5,367 radiograph exams visualizing the elbow from adult patients (2002-2016) was conducted using a deep neural network. Radiographs were manually categorized according to the 2018 AO/OTA system by orthopedic surgeons.
Ketogenic Diet Mitigates Age-Related Cognitive Decline and Neuroinflammation in Rats, While Antibiotics Exacerbate Brain Health Risks.
J Mol Neurosci
September 2025
Department of Physiology, School of Medicine, Dokuz Eylul University, Izmir, Turkey.
The ketogenic diet (KD), a high-fat, low-carbohydrate regimen, has been shown to exert neuroprotective effects in various neurological models. This study explored how KD-alone or combined with antibiotic-induced gut microbiota depletion-affects cognition and neuroinflammation in aging. Thirty-two male rats (22 months old) were assigned to four groups (n = 8): control diet (CD), ketogenic diet (KD), antibiotics with control diet (AB), and antibiotics with KD (KDAB).
View Article and Find Full Text PDFDeep Learning-Assisted Organogel Pressure Sensor for Alphabet Recognition and Bio-Mechanical Motion Monitoring.
Nanomicro Lett
September 2025
Nanomaterials & System Lab, Major of Mechatronics Engineering, Faculty of Applied Energy System, Jeju National University, Jeju, 63243, Republic of Korea.
Wearable sensors integrated with deep learning techniques have the potential to revolutionize seamless human-machine interfaces for real-time health monitoring, clinical diagnosis, and robotic applications. Nevertheless, it remains a critical challenge to simultaneously achieve desirable mechanical and electrical performance along with biocompatibility, adhesion, self-healing, and environmental robustness with excellent sensing metrics. Herein, we report a multifunctional, anti-freezing, self-adhesive, and self-healable organogel pressure sensor composed of cobalt nanoparticle encapsulated nitrogen-doped carbon nanotubes (CoN CNT) embedded in a polyvinyl alcohol-gelatin (PVA/GLE) matrix.
View Article and Find Full Text PDF