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Alexander Bartschke
Alexander Bartschke
Berlin Institute of Health at Charité
bih-charite.de üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
The German Corona Consensus Dataset (GECCO): a standardized dataset for COVID-19 research in university medicine and beyond
J Sass, A Bartschke, M Lehne, A Essenwanger, E Rinaldi, S Rudolph, ...
BMC Medical Informatics and Decision Making 20, 1-7, 2020
942020
Fast healthcare interoperability resources (FHIR) for interoperability in health research: systematic review
CN Vorisek, M Lehne, SAI Klopfenstein, PJ Mayer, A Bartschke, T Haese, ...
JMIR medical informatics 10 (7), e35724, 2022
712022
The German National Pandemic Cohort Network (NAPKON): rationale, study design and baseline characteristics
M Schons, L Pilgram, JP Reese, M Stecher, G Anton, KS Appel, T Bahmer, ...
European Journal of Epidemiology 37 (8), 849-870, 2022
312022
Accessing the ECG data of the apple watch and accomplishing interoperability through FHIR
A Bartschke, Y Börner, S Thun
Stud Health Technol Inform 278, 245-50, 2021
62021
Insights into the FAIRness of the German network university medicine: a survey
L Michaelis, RA Poyraz, MR Muzoora, K Gierend, A Bartschke, ...
Caring is Sharing–Exploiting the Value in Data for Health and Innovation …, 2023
12023
Future-Oriented and Patient-Centric? A Qualitative Analysis of Digital Therapeutics and Their Interoperability
L Stegemann, R Gubser, M Gersch, A Bartschke, A Hoffmann, M Wagner, ...
12023
The German Corona Consensus Dataset (GECCO): A standardized dataset for COVID-19 research
S Thun, J Sass, A Bartschke, M Lehne, A Essenwanger, E Rinaldi, ...
12020
Experiences from compiling a FAIR survey in the German Network University Medicine
L Michaelis, RA Poyraz, MR Muzoora, K Gierend, A Bartschke, ...
2023
How FAIR Is NUM?–Lessons Learnt from a FAIR Survey Within the German Network University Medicine (NUM)
L Michaelis, RA Poyraz, MR Muzoora, K Gierend, A Bartschke, ...
EasyChair, 2022
2022
Development of interoperable, domain-specific extensions for the German Corona Consensus (GECCO) COVID-19 research dataset using an interdisciplinary, consensus-based workflow
G Lichtner, T Haese, S Brose, L Röhrig, L Lysyakova, S Rudolph, M Uebe, ...
medRxiv, 2022.05. 12.22274089, 2022
2022
Der GECCO Datensatz für die COVID-19-Forschung
S Thun, C Stellmach, J Saß, A Bartschke
Digitalstrategie im Krankenhaus: Einführung und Umsetzung von Datenkompetenz …, 2022
2022
The German National Pandemic Cohort Network (NAPKON): rationale, study design and baseline characteristics.(preprint)
MJ Schons, L Pilgram, JP Reese, M Stecher, G Anton, K Appel, T Bahmer, ...
2022
Extending the German Corona Consensus Dataset (GECCO) to the immunization, pediatrics, and cardiology domains (preprint)
G Lichtner, T Haese, S Brose, L Röhrig, L Lysyakova, S Rudolph, M Uebe, ...
2022
German Corona Consensus Datensatz (GECCO): Verbesserter Austausch von Covid-19-Forschungsdaten
S Thun, J Saß, A Bartschke
kma-Klinik Management aktuell 26 (06), 55-56, 2021
2021
The German Corona Consensus Dataset (GECCO): a standardized dataset for COVID-19 research
J Sass, A Bartschke, M Lehne, A Essenwanger, E Rinaldi, S Rudolph, ...
medRxiv, 2020.07. 27.20162636, 2020
2020
The German Corona Consensus Dataset (GECCO): A standardized dataset for COVID-19 research (preprint)
J Sass, A Bartschke, M Lehne, A Essenwanger, E Rinaldi, S Rudolph, ...
2020
The German Corona Consensus Dataset (GECCO): a standardized dataset for COVID-19 research in university medicine and beyond
S Thun, J Sass, A Bartschke, M Lehne, A Essenwanger, E Rinaldi, ...
BMC Medical Informatics and Decision Making 20 (341), 1-7, 2020
2020
The German Corona Consensus Dataset (GECCO): A standardized dataset for COVID-19 research in university medicine and beyond (preprint)
J Sass, A Bartschke, M Lehne, A Essenwanger, E Rinaldi, S Rudolph, ...
2020
Publications about ART-DECOR®
J Sass, A Bartschke, M Lehne
Fast Healthcare Interoperability Resources (FHIR) for Clinical, Epidemiological and Public Health Research: A Systematic Review
CN Vorisek, M Lehne, SAI Klopfenstein, A Bartschke, T Haese, S Thun
Epidemiological and Public Health Research: A Systematic Review, 0
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