A position paper of the Association of German Allergists (AeDA)

Since spring 2020, the wide-ranging contact restriction measures in the context of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic have also led to a reduction in physician-patient contacts in the ambulatory care setting. Telemedicine applications will increasingly provide a way to efficiently deliver patient care under infection control measures. In allergology, telemedical as well as digital applications can also significantly facilitate everyday clinical practice. However, the technical and legal hurdles associated with the implementation of digital strategies must be overcome for this to happen. The aim of this article is to provide an intuitive overview of the aspects to be considered in the implementation of telemedicine consultations and to highlight the current state of the framework as well as optimization possibilities and perspectives in allergology. If a structured use is guaranteed, digital and telemedical applications can improve patient care-also in allergology. There is potential to be exploited in many areas, from the remote collection of clinical history, and video consultations, to the discussion of diagnostic findings, disease monitoring, and therapy support. The use of telemedical applications, especially video consultations, has experienced a remarkable acceleration in the context of the coronavirus disease 2019 (COVID-19) pandemic. The present overview of the legal, technical and professional framework is intended to support the anchoring of digital and telemedical technologies in everyday allergology. However, in order to consolidate these in the future, an agreement is needed regarding professional standards of action as well as a remuneration structure that is permanently defined beyond the current pandemic

The COSMICS (Container Scanning by Muon-based Imaging using Cosmic rayS) Project; an introduction and preliminary results

Muon tomography represents a new and promising imaging technique, making use of ambient high-energy cosmic ray muons to generate images of three-dimensional volumes. The technique predominantly combines measurements of the Coulomb scattering of muons with sophisticated analysis methods to estimate the composition of objects and their distribution within an unknown volume. The COSMICS project will use this technique to design a passive tomographic system capable of detecting the presence of high atomic mass materials within a shipping container. The initial physics simulation studies are presented in this work. Consideration is also given to the ethical and legal concerns associated with the development of such a system and the impact on low- and middle-income countries (LMIC). Initial studies into potential risk scenarios relating to the trade of illicit and counterfeit goods have been undertaken, and a data-driven pre-screening concept is outlined

Erfahrungen, Herausforderungen und Lösungsansätze aus der Extraktion pseudonymer Daten für das Projekt INDEED

Background: In Germany there is currently no health reporting on cross-sectoral care patterns in the context of an emergency department care treatment. The INDEED project (Utilization and trans-sectoral patterns of care for patients admitted to emergency departments in Germany) collects routine data from 16 emergency departments, which are later merged with outpatient billing data from 2014 to 2017 on an individual level. Aim: The methodological challenges in planning of the internal merging of routine clinical and administrative data from emergency departments in Germany up to the final data extraction are presented together with possible solution approaches. Methods: Data were selected in an iterative process according to the research questions, medical relevance, and assumed data availability. After a preparatory phase to clarify formalities (including data protection, ethics), review test data and correct if necessary, the encrypted and pseudonymous data extraction was performed. Results: Data from the 16 cooperating emergency departments came mostly from the emergency department and hospital information systems. There was considerable heterogeneity in the data. Not all variables were available in every emergency department because, for example, they were not standardized and digitally available or the extraction effort was judged to be too high. Conclusion: Relevant data from emergency departments are stored in different structures and in several IT systems. Thus, the creation of a harmonized data set requires considerable resources on the part of the hospital as well as the data processing unit. This needs to be generously calculated for future projects