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2. Chiral Hall effect in the kink states in topological insulators with magnetic domain walls

Author

Sedlmayr, M., Sedlmayr, N., Barnaś, J., and Dugaev, V. K.

Subjects
Condensed Matter - Mesoscale and Nanoscale Physics
Abstract

In this article we consider the chiral Hall effect due to topologically protected kink states formed in topological insulators at boundaries between domains with differing topological invariants. Such systems include the surfaces of three dimensional topological insulators magnetically doped or in proximity with ferromagnets, as well as certain two dimensional topological insulators. We analyze the equilibrium charge current along the domain wall and show that it is equal to the sum of counter-propagating equilibrium currents flowing along external boundaries of the domains. In addition, we also calculate a dissipative current along the domain wall when an external voltage is applied perpendicularly to the wall., Comment: 6 pages, 4 figures

Published
2019
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11. Improving post-cellular therapy care with an interdisciplinary, cross-regional, cross-sectoral, digital-aided approach

Author

Schneider, M, Egger-Heidrich, K, Müller, G, Schmädig, R, Schmidt, F, Leppla, L, Geest, SD, Teynor, A, Wolfien, M, Sedlmayr, M, Hänel, M, Vucinic, V, Schmitt, J, Platzbecker, U, Schetelig, J, Bornhäuser, M, Middeke, JM, Schneider, M, Egger-Heidrich, K, Müller, G, Schmädig, R, Schmidt, F, Leppla, L, Geest, SD, Teynor, A, Wolfien, M, Sedlmayr, M, Hänel, M, Vucinic, V, Schmitt, J, Platzbecker, U, Schetelig, J, Bornhäuser, M, and Middeke, JM

Published
2024

16. Hybride Qualitätsindikatoren mittels Machine Learning-Methoden (Hybrid-QI)

Author

Spoden, M, Dröge, P, Roessler, M, Datzmann, T, Lang, C, Sedlmayr, M, Schmitt, J, and Günster, C

Subjects
ddc: 610, Medicine and health
Abstract

Hintergrund: International werden Routinedaten zur Definition von Qualitätsindikatoren genutzt, um stationäre Behandlungsqualität zu erfassen. Fallübergreifende Routinedaten erlauben bei geringem administrativen Aufwand die sektorenübergreifende Longitudinalanalyse von Behandlungsfolgen [zum vollständigen Text gelangen Sie über die oben angegebene URL]

Published
2022
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17. Identifikation von Gemeinsamkeiten klinischer Daten und GKV-Routinedaten für deren Verknüpfung in OMOP CDM zur stationären Qualitätsmessung

Author

Henke, E, Zoch, M, Bathelt, F, Spoden, M, Ruhnke, T, Günster, C, and Sedlmayr, M

Subjects
ddc: 610, QSR, Medicine and health, OMOP CDM, GKV
Abstract

Einleitung: In Deutschland haben sich Routinedaten der Gesetzlichen Krankenversicherung (GKV) zur Qualitätsmessung der stationären Versorgung etabliert [ref:1], [ref:2], [ref:3], [ref:4], [ref:5], [ref:6], [ref:7]. Trotz [zum vollständigen Text gelangen Sie über die oben angegebene URL]

Published
2022
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18. Extract, Transform and Load German Claim Data to OMOP CDM – Design and Implications

Author

Zoch, M, Henke, E, Reinecke, I, Peng, Y, Gebler, R, Gruhl, M, and Sedlmayr, M

Subjects
ETL, OHDSI, ddc: 610, Medicine and health, OMOP CDM, German claim data
Abstract

Introduction: Secondary use of clinical data is essential for generating evidence in medical research. To harmonize data it is beneficial to use common data models (CDM) [ref:1]. The Observational Medical Outcomes Partnership (OMOP) CDM from the Observational Health Data Sciences and Informatics [for full text, please go to the a.m. URL]

Published
2022
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21. Von der Evidenz in die Versorgung: Chancen und Risiken für Gesundheits- und Wissenschaftspolitik. Ein Positionspapier der Arbeitsgemeinschaft der Wissenschaftlichen Medizinischen Fachgesellschaften (AWMF)

Author

Wörmann, Bernhard, Kopp, Ina, Nothacker, Monika, Klar, Ernst, Sedlmayr, Martin, Vogeser, Michael, Schliephake, Henning, and Treede, Rolf-Detlef

Subjects
clinical practice guidelines, care delivery, evidence-based medicine, medical device regulation, point-of-care, guideline registries, Medicine
Abstract

Objective: After over 25 years of developing clinical practice guidelines, the Association of the Scientific Medical Societies in Germany (AWMF) held a symposium to discuss the following topics in order to improve the way evidence is implemented in the delivery of care: expansion of the data pool for guideline development, the regulatory policy framework for this expansion, the transfer of clinical practice guideline statements to medical practice, the associated opportunities and risks resulting from the European legislation. Methods: The AWMF held its Berlin Forum on 27 April 2022 where experts from scientific medical societies and national institutions in the healthcare sector reported their experiences and perceptions on the topics mentioned. Three writing groups compiled the key statements from these contributions to and discussions made at the Berlin Forum into a position paper. Results: The AWMF recommends the following:– The creation of a digital infrastructure that serves the quality assurance of clinical practice guidelines and makes their content available at the bedside and during consultations– An increase in the number of industry-independent clinical trials on prevention, diagnostics and therapy with medicinal products, medical devices or other procedures – The funding of registry structures to generate point-of-care healthcare data– The reduction of excessive bureaucratic hurdles at both the national and EU levelConclusions: By making concrete recommendations in this position paper, the AWMF maps out the steps required to improve the translation of evidence to the delivery of clinical care.

Published
2024
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22. OHDSI Germany – Join the Journey: A Workshop

Author

Reinecke, I, Zoch, M, Reich, C, Kallfelz, M, Grewe, N, and Sedlmayr, M

Subjects
ddc: 610, OHDS, Medicine and health, studien, interoperabilität, standardisierung, OMOP
Abstract

The Observational Health Data Science and Informatics (OHDSI) is an international collaboration that enables researchers to conduct observational studies around the globe based on standardized data and methods that was founded in 2014 [ref:1]. OHDSI provides a common data model (OMOP CDM) [for full text, please go to the a.m. URL]

Published
2021
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23. HiGHmed Medical Data Integration Centers and their Different Architecture Designs (Workshop)

Author

Sax, U, Ortmann, S, Gietzelt, M, Kock-Schoppenhauer, AK, Schreiweis, B, Ertl, M, Sedlmayr, M, Kesztyues, T, Eils, R, and Krefting, D

Subjects
ddc: 610, Data Integration Center, Architecture, Medicine and health, HiGHmed, Interoperability, FOS: Civil engineering
Abstract

Introduction: The collaborative efforts of the German Medical Informatics Initiative (MII) [ref:1] [BS1] especially on methods of informed consent and information model standardization [ref:1] pave the way on making healthcare data findable and accessible for research [for full text, please go to the a.m. URL]

Published
2021
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30. Das DISPENSE-Tool: Dresdner Informations- und Prognosetool für Bettenauslastung in Sachsen

Author

Schmitt, J, Lange, T, Forkert, C, Rößler, M, Walther, F, Knapp, A, Karschau, J, Gruhl, M, Kümmel, M, Gebler, R, Löwe, M, Sedlmayr, M, Mogwitz, A, and Kleber, C

Subjects
ddc: 610, 610 Medical sciences, Medicine
Abstract

Hintergrund und Stand der Forschung: Wichtige Voraussetzung für ein erfolgreiches regionales Pandemiemanagement ist neben der Vernetzung sämtlicher Akteure im Gesundheitswesen eine zügige und tiefgehende Abbildung des lokalen Erkrankungsgeschehens von COVID-19-Fällen. Diese Abbildung[zum vollständigen Text gelangen Sie über die oben angegebene URL], 19. Deutscher Kongress für Versorgungsforschung (DKVF)

Published
2020
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31. Konzept für ein bundesweites Pandemiemanagement im Rahmen des Netzwerks Universitätsmedizin

Author

Schmitt, J, Harst, L, Weber, TO, Sedlmayr, M, Ciesek, S, Apfelbacher, C, Bajbouj, M, Bierbaum, V, Combs, S, Drosten, C, Geraedts, M, Haier, J, Ihle, P, Lieb, K, Rohde, G, Schmidberger, H, Vogelmeier, C, Weber-Carstens, S, Weltermann, B, and von Wagner, M

Subjects
ddc: 610, 610 Medical sciences, Medicine
Abstract

Hintergrund und Stand (inter)nationaler Forschung: Für die pandemic preparedness im weiteren Verlauf der COVID-19-Pandemie werden wissenschaftlich abgesicherte Strategien benötigt, die einerseits bundesweit einsetzbar, andererseits aber regional angepasst werden können. Dieser Zielstellung[zum vollständigen Text gelangen Sie über die oben angegebene URL], 19. Deutscher Kongress für Versorgungsforschung (DKVF)

Published
2020
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32. Evaluation of a Digital Decision Aid for Knee Replacement Surgery: A Stepped-Wedge, Cluster-Randomized Trial.

Author

Lützner, J, Deckert, S, Beyer, F, Hahn, W, Malzahn, J, Sedlmayr, M, Günther, KP, Schmitt, J, and Lange, T

Abstract

Background: We studied whether an individualized digital decision aid can improve decision-making quality for or against knee arthroplasty. Methods: An app-based decision aid (EKIT tool) was developed and studied in a stepped-wedge, cluster-randomized trial. Consecutive patients with knee osteoarthritis who were candidates for knee replacement were included in 10 centers in Germany. All subjects were asked via app on a tablet about their symptoms, prior treatments, and preferences and goals for treatment. For the subjects in the intervention group, the EKIT tool was used in the doctor-patient discussion to visualize the individual disease burden and degree of fulfillment of the indication criteria, and structured information on knee arthroplasty was provided. In the control group, the discussion was conducted without the EKIT tool in accordance with the local standard in each participating center. The primary endpoint was the quality of the patient's decision on the basis of the discussion of indications, as measured with the Hip and Knee Quality Decision Instrument (HK-DQI). (Registration number: ClinicalTrials.gov:NCT04837053). Results: 1092 patients were included, and data from 1055 patients were analyzed (616 in the intervention group and 439 in the control group). Good decision quality, as rated by the HK-DQI, was achieved by 86.0% of patients in the intervention group and 67.4% of patients in the control group (relative risk, 1.24; 95 % confidence interval, [1.15; 1.33]). Conclusion: A digital decision aid significantly improved the quality of decision-making for or against knee replacement surgery. The widespread use of this instrument may have an even larger effect, as this trial was conducted mainly in hospitals with high case numbers. [ABSTRACT FROM AUTHOR]

Published
2024
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34. Entwicklung eines fachübergreifenden, praxisnahen Szenarios unter Anwendung von Big Data Technologien für die Versorgung von Menschen mit seltenen Erkrankungen (BIDA-SE)

Author

Sedlmayr, B, Knapp, A, Kümmel, M, Bathelt, F, Schmitt, J, and Sedlmayr, M

Subjects
ddc: 610, 610 Medical sciences, Medicine
Abstract

Hintergrund: In Deutschland leben etwa 4 Millionen Menschen mit einer seltenen Erkrankung. Aufgrund der Vielfalt seltener Erkrankungen und dem mangelnden Spezialwissen der Hausärzte diesbezüglich, werden die Patienten nur selten richtig diagnostiziert und adäquat therapiert. Die korrekte[zum vollständigen Text gelangen Sie über die oben angegebene URL], 18. Deutscher Kongress für Versorgungsforschung (DKVF)

Published
2019
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35. Erweiterung des MIRACUM Datenqualitäts-Frameworks für das OMOP-Datenmodell

Author

Bathelt, F, Reinecke, I, Kümmel, M, Nassirian, A, Sedlmayr, M, and Kapsner, L

Subjects
MIRACUM, ddc: 610, quality analysis, ETL-job, 610 Medical sciences, Medicine, OMOP
Abstract

Einleitung: Datenintegration und -aufbereitung zur Sekundärnutzung in der medizinischen Forschung gewinnt aufgrund steigendender Patientenzahlen zunehmend an Bedeutung. Das vom Bundesministerium für Bildung und Forschung im Rahmen der Medizininformatik-Initiative geförderte Konsortium[zum vollständigen Text gelangen Sie über die oben angegebene URL], 64. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS)

Published
2019
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39. eHealth literacy research:quo vadis?

Author

Griebel, L. (Lena), Enwald, H. (Heidi), Gilstad, H. (Heidi), Pohl, A.-L. (Anna-Lena), Moreland, J. (Julia), Sedlmayr, M. (Martin), Griebel, L. (Lena), Enwald, H. (Heidi), Gilstad, H. (Heidi), Pohl, A.-L. (Anna-Lena), Moreland, J. (Julia), and Sedlmayr, M. (Martin)

Abstract

The concept of electronic health (eHealth) literacy evolved from the social and information sciences and describes competencies necessary to use electronic health services. As it is a rather new topic, and as there is no current overview of the state of the art in research, it is not possible to identify research gaps. Therefore, the objective of this viewpoint article is to increase knowledge on the current state of the art of research in eHealth literacy and to identify gaps in scientific research which should be focused on by the research community in the future. The article provides a current viewpoint of the concept of eHealth literacy and related research. Gaps can be found in terms of a missing “gold standard” regarding both the definition and the measurement of eHealth literacy. Furthermore, there is a need for identifying the implications on eHealth developers, which evolve from the measurement of eHealth literacy in eHealth users. Finally, a stronger inclusion of health professionals, both in the evolving concept and in the measurement of eHealth literacy, is needed in the future.

Published
2018

40. Funktionalität und Bedienung von eGENA, der elektronischen Gedächtnis- und Entscheidungshilfe für Notfälle in der Anästhesiologie.

Author

Neuhaus, C., Schild, S., Eismann, H., Baus, J., Happel, O., Heller, A. R., Richter, T., Weinert, M., Sedlmayr, B., Sedlmayr, M., Prokosch, H.-U., Schleppers, A., and St.Pierre, M.

Abstract

Copyright of Anaesthesiologie & Intensivmedizin is the property of DGAI e.V. - Deutsche Gesellschaft fur Anasthesiologie und Intensivmedizin e.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2020

41. Towards Implementation of OMOP in a German University Hospital Consortium

Author

Maier, C., additional, Lang, L., additional, Storf, H., additional, Vormstein, P., additional, Bieber, R., additional, Bernarding, J., additional, Herrmann, T., additional, Haverkamp, C., additional, Horki, P., additional, Laufer, J., additional, Berger, F., additional, Höning, G., additional, Fritsch, H.W., additional, Schüttler, J., additional, Ganslandt, T., additional, Prokosch, H.U., additional, and Sedlmayr, M., additional

Published
2018
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42. The Clinical Data Intelligence Project

Author

Sonntag, D., Tresp, V., Zillner, S., Cavallaro, A., Hammon, M., Reis, A., Fasching, P.A., Sedlmayr, M., Ganslandt, T., Prokosch, H.-U., Budde, K., Schmidt, D., Hinrichs, C., Wittenberg, T., Daumke, P., Oppelt, P.G., and Publica

Abstract

This article is about a new project that combines clinical data intelligence and smart data. It provides an introduction to the ""Klinische Datenintelligenz"" (KDI) project which is founded by the Federal Ministry for Economic Affairs and Energy (BMWi); we transfer research and development results (R&D) of the analysis of data which are generated in the clinical routine in specific medical domain. We present the project structure and goals, how patient care should be improved, and the joint efforts of data and knowledge engineering, information extraction (from textual and other unstructured data), statistical machine learning, decision support, and their integration into special use cases moving towards individualised medicine. In particular, we describe some details of our medical use cases and cooperation with two major German university hospitals.

Published
2016

43. Mobiles Computing in der Medizin – Themen, Perspektiven, Visionen

Author

Sedlmayr, M, Rashid, A, and Breitschwerdt, R

Subjects
Consumer Health Informatics, ddc: 610, mHealth, Wearables, Usability, eHealth, 610 Medical sciences, Medicine, Mobile Applikationen
Abstract

Seit vielen Jahren werden in zahllosen Projekten Technologien entwickelt, die zum Einen die mobile Versorgung von Patienten und Bürgern ermöglichen, zum Anderen aber auch deren Mobilität unterstützen. Früher stand vor allem die Entdeckung mobiler Technologien für sinnvolle[zum vollständigen Text gelangen Sie über die oben angegebene URL], GMDS 2015; 60. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS)

Published
2015
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44. Mobile Informationstechnologien in der Medizin für Medikation und Patientensicherheit

Author

Sedlmayr, M., Rashid, A., and Criegee-Rieck, M.

Subjects
ddc: 610, 610 Medical sciences, Medicine
Abstract

Ausrichter des gemeinsamen Workshops sind die gmds-Arbeitsgruppe/GI-Fachgruppe „Mobile Informationstechnologie in der Medizin (MoCoMed)“ sowie die gmds-Arbeitsgruppe „Arzneimittelinformationssysteme“ (AIS). Ziel des Workshops ist es, Mobile und Ubiquitous Computing[for full text, please go to the a.m. URL], GMDS 2014; 59. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS)

Published
2014
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48. Ein Vorgehensmodell für Prospective Health Technology Assessment

Author

Gantner-Bär, M, Leb, I, Prokosch, HU, and Sedlmayr, M

Subjects
ddc: 610, 610 Medical sciences, Medicine
Abstract

Einleitung und Fragestellung: Prospective Health Technology Assessment (ProHTA) ist ein innovativer Ansatz zur frühzeitigen Bewertung neuer Technologien, Methoden und Verfahren im Gesundheitswesen. Im Gegensatz zu klassischem HTA, Early HTA und Horizon Scanning werden bereits in der frühen[for full text, please go to the a.m. URL], GMDS 2013; 58. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS)

Published
2013
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49. Umsetzung einer datenschutzkonformen Cloud-Architektur zur Nutzung strukturierter und freitextlicher Daten

Author

Sedlmayr, M, Leb, I, Griebel, L, Laufer, J, Marquardt, K, Daumke, P, and Prokosch, HU

Subjects
ddc: 610, 610 Medical sciences, Medicine
Abstract

Einleitung: Klinische Daten werden in den letzten Jahren zunehmend für Zwecke jenseits der unmittelbaren Versorgung wiederverwendet [ref:1], [ref:2]. Allerdings liegen viele Informationen in unstrukturierter Form, beispielsweise als Arztbriefe vor und können daher nicht[for full text, please go to the a.m. URL], GMDS 2013; 58. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS)

Published
2013
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50. Ein System zur De-Identifikation medizinischer Rohdaten

Author

Tomanek, K, Enders, F, Daumke, P, Müller, ML, Sedlmayr, M, and Prokosch, HU

Subjects
Sekundärnutzung medizinischer Daten, ddc: 610, Anonymisierung, Pseudonymisierung, 610 Medical sciences, Medicine, De-Identifikation
Abstract

Einleitung und Fragestellung: Im Rahmen des BMWi-geförderten Projekts cloud4health soll eine Infrastruktur bereitgestellt werden, die die Sekundärnutzung strukturierter und unstrukturierter medizinischer Rohdaten für wissenschaftliche Forschung ermöglicht. Ein hohes Schutzniveau [for full text, please go to the a.m. URL], GMDS 2012; 57. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS)

Published
2012
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