A5077591956- Electronic Health Records Systems
- Biomedical Text Mining and Ontologies
- Clinical practice guidelines implementation
- Digital Rights Management and Security
- Multimedia Communication and Technology
- Bacterial Identification and Susceptibility Testing
- Advanced Data Storage Technologies
- Thermal properties of materials
- Thermal Radiation and Cooling Technologies
- Digital Innovation in Industries
- Cryptography and Data Security
- Business Process Modeling and Analysis
- Lung Cancer Diagnosis and Treatment
- Cloud Data Security Solutions
- Antimicrobial Resistance in Staphylococcus
- Advances in Oncology and Radiotherapy
- Semantic Web and Ontologies
- Logic, Reasoning, and Knowledge
- Advanced Thermoelectric Materials and Devices
- COVID-19 and healthcare impacts
- Clinical Laboratory Practices and Quality Control
RWTH Aachen University
2019-2025
Siemens Healthcare (Germany)
2022
University of Duisburg-Essen
2021
Universitätsklinikum Aachen
2020
Paderborn University
2016
To assess the change in inpatient radiotherapy related to COVID-19 lockdown measures during first wave of pandemic 2020.
Introduction Staphylococci are the most commonly identified pathogens in bloodstream infections. Identification of Staphylococcus aureus blood culture (SAB) requires a prompt and adequate clinical management. The detection coagulase-negative staphylococci (CoNS), however, corresponds to contamination about 75% cases. Nevertheless, antibiotic therapy is often initiated, which contributes risk drug-related side effects. We developed computerised decision support system (HELP-CDSS) that assists...
Among the different existing cryptographic file systems, EncFS has a unique feature that makes it attractive for backup setups involving untrusted (cloud) storage. It is file-based overlay system in normal operation (i.e., maintains directory hierarchy by storing encrypted representations of files and folders specific source folder), but its reverse mode allows to this process: Users can mount deterministic, views their local, unencrypted on fly, allowing synchronization storage using...
Heat transfer through heterointerfaces is intrinsically hampered by a thermal boundary resistance originating from the discontinuity of elastic properties. Here, we show that with shrinking dimensions heat flow an ultrathin epitaxial film atomically flat interfaces into single crystalline substrate significantly reduced due to violation Boltzmann equipartition theorem in angular phonon phase space. For films thinner than phonons mean free path, find trapped total internal reflection, thus...
Clinical decision support systems often adopt and operationalize existing clinical practice guidelines leading to higher guideline availability, increased adherence, data integration. Most of these use an internal state-based model a derive recommendations but do not provide the user with comprehensive insight into model. Here we present novel approach based on dynamic visualization that incorporates individual patient's current treatment context. We derived multiple requirements be...
Computerized guidelines have been utilized for several decades by now. Systems based on computerized-guidelines often intertwine (1) medical knowledge representation, (2) guideline procedures and (3) hospital workflows. This induces drawbacks. Most prominent problems include non-shareability of the computerized between hospitals, limited accessibility humans, an unclear, confusing combination hospital-specific workflow guideline-induced control flows. article proposes a 3-layer modelling...
The knowledge transformation process involves the guideline for diagnosis and therapy of epilepsy to an executable computable base that serves as basis a decision-support system. We present transparent representation model which facilitates technical implementation verification. Knowledge is represented in plain table, used frontend code software where simple reasoning performed. structure sufficient comprehensible also non-technical persons (i.e., clinicians).
<sec> <title>BACKGROUND</title> Clinical decision support systems often adopt and operationalize existing clinical practice guidelines leading to higher guideline availability, increased adherence, data integration. Most of these use an internal state-based model a derive recommendations but do not provide the user with comprehensive insight into model. </sec> <title>OBJECTIVE</title> Here we present novel approach based on dynamic visualization that incorporates individual patient’s current...