Prati
Andrea Essenwanger
Andrea Essenwanger
Research Fellow, Berlin Institute of Health at Charité
Potvrđena adresa e-pošte na bih-charite.de
Naslov
Citirano
Citirano
Godina
Why digital medicine depends on interoperability
M Lehne, J Sass, A Essenwanger, J Schepers, S Thun
NPJ digital medicine 2 (1), 79, 2019
3012019
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
Towards interoperability in clinical research-enabling FHIR on the open-source research platform XNAT
M Khvastova, M Witt, A Essenwanger, J Sass, S Thun, D Krefting
Journal of Medical Systems 44, 1-5, 2020
172020
Why digital medicine depends on interoperability. NPJ Digital Medicine, 2, 79
M Lehne, J Sass, A Essenwanger, J Schepers, S Thun
142019
Why digital medicine depends on interoperability. NPJ Digit Med. 2019; 2: 79
M Lehne, J Sass, A Essenwanger, J Schepers, S Thun
7
Why digital medicine depends on interoperability. NPJ Digit. Med. 2, 79 (2019)
M Lehne, J Sass, A Essenwanger, J Schepers, S Thun
6
Fast Healthcare Interoperability Resources (FHIR®) Representation of Medication Data Derived from German Procedure Classification Codes (OPS) Using …
J Sass, S Zabka, A Essenwanger, J Schepers, M Boeker, S Thun
German Medical Data Sciences: Bringing Data to Life, 231-236, 2021
42021
Standardizing Germany’s electronic disease management program for bronchial asthma
S Julian, A Essenwanger, S Luijten, VOM Paulina
German Medical Data Sciences: Shaping Change-Creative Solutions for …, 2019
42019
Desiderata for a Synthetic Clinical Data Generator.
J Wiedekopf, H Ulrich, A Essenwanger, A Kiel, AK Kock-Schoppenhauer, ...
MIE, 68-72, 2021
22021
Motivating Developers to Use Interoperable Standards for Data in Pandemic Health Apps
MR Muzoora, N El-Badawi, C Elsner, A Essenwanger, P Gocke, ...
Public Health and Informatics, 1027-1028, 2021
12021
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
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
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