Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Antje Wulff"'
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-11 (2021)
Abstract Background Data quality assessment is important but complex and task dependent. Identifying suitable measurement methods and reference ranges for assessing their results is challenging. Manually inspecting the measurement results and current
Externí odkaz:
https://doaj.org/article/65c16f3ca3e645168cd282dd4ae49c6e
Autor:
Andre Karch, Antje Wulff, Michael Marschollek, Philipp Beerbaum, Thomas Jack, Julia Böhnke, Nicole Rübsamen, Marcel Mast, Henning Rathert, Louisa Bode, Sven Schamer, Pronaya Prosun Das, Lena Wiese, Christian Groszewski-Anders, Andreas Haller, Torsten Frank
Publikováno v:
BMJ Paediatrics Open, Vol 6, Iss 1 (2022)
Introduction Systemic inflammatory response syndrome (SIRS), sepsis and associated organ dysfunctions are life-threating conditions occurring at paediatric intensive care units (PICUs). Early recognition and treatment within the first hours of onset
Externí odkaz:
https://doaj.org/article/f336dfc3fcc34bf09c6ce818d03a2cb5
Autor:
Antje Wulff, Claas Baier, Sarah Ballout, Erik Tute, Kim Katrin Sommer, Martin Kaase, Anneka Sargeant, Cora Drenkhahn, Infection Control Study Group, Dirk Schlüter, Michael Marschollek, Simone Scheithauer
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract The spread of multidrug resistant organisms (MDRO) is a global healthcare challenge. Nosocomial outbreaks caused by MDRO are an important contributor to this threat. Computer-based applications facilitating outbreak detection can be essentia
Externí odkaz:
https://doaj.org/article/1f4a5650ac8b4c829b64c91b3e5fc95a
Autor:
Antje Wulff, Sara Montag, Nicole Rübsamen, Friederike Dziuba, Michael Marschollek, Philipp Beerbaum, André Karch, Thomas Jack
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-9 (2021)
Abstract Background Systemic inflammatory response syndrome (SIRS) is defined as a non-specific inflammatory process in the absence of infection. SIRS increases susceptibility for organ dysfunction, and frequently affects the clinical outcome of affe
Externí odkaz:
https://doaj.org/article/8db906ff6da54b138d08e7f12e7c6e06
Publikováno v:
BMJ Open, Vol 9, Iss 6 (2019)
IntroductionSystemic inflammatory response syndrome (SIRS) is one of the most critical indicators determining the clinical outcome of paediatric intensive care patients. Clinical decision support systems (CDSS) can be designed to support clinicians i
Externí odkaz:
https://doaj.org/article/8df0754601554a7e9a7431dde68fba0f
Publikováno v:
dHealth 2023 ISBN: 9781643683867
Background: Feedback is essential for personal and professional development, also in emergency services. However, EMS usually ends at the interface with the emergency department, thus, the long-term effect of initiated emergency measures often remain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63222e18a499085e1913ecd193965fcb
https://doi.org/10.3233/shti230032
https://doi.org/10.3233/shti230032
Autor:
Kay Hamacher, Tobias Kussel, Tatiana von Landesberger, Tom Baumgartl, Markus Höhn, Simone Scheithauer, Michael Marschollek, Antje Wulff
Publikováno v:
Datenschutz und Datensicherheit - DuD. 46:143-148
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee8979104f7cada12513a4a27a340676
https://doi.org/10.1007/s11623-022-1579-6
https://doi.org/10.1007/s11623-022-1579-6
Publikováno v:
Methods of Information in Medicine.
Background Data quality issues can cause false decisions of clinical decision support systems (CDSSs). Analyzing local data quality has the potential to prevent data quality-related failure of CDSS adoption. Objectives To define a shareable set of ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90b5b64f48372f25aba86cda84354bd2
https://doi.org/10.1055/s-0042-1760238
https://doi.org/10.1055/s-0042-1760238
Publikováno v:
Studies in health technology and informatics. 295
To embrace the need for freely accessible training data sets originating from the real world, in the ELISE project, we integrate source data from a pediatric intensive care unit and provide it to researchers.We present our vision, initial results and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::68f37fba2124cd003548fb8939564675
https://pubmed.ncbi.nlm.nih.gov/35773816
https://pubmed.ncbi.nlm.nih.gov/35773816
Autor:
Antje, Wulff, Pascal, Biermann, Tatiana, von Landesberger, Tom, Baumgartl, Christoph, Schmidt, Alan Yussef, Alhaji, Kristina, Schick, Paul, Waldstein, Yufei, Zhu, Dagmar, Krefting, Simone, Scheithauer, Michael, Marschollek
Publikováno v:
Studies in health technology and informatics. 290
Early anticipation of COVID-19 infection chains within hospitals is of high importance for initiating suitable measures at the right time. Infection control specialists can be supported by application systems able of consolidating and analyzing heter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::65c741e8b0803c3807d634d64674fc6c
https://pubmed.ncbi.nlm.nih.gov/35673107
https://pubmed.ncbi.nlm.nih.gov/35673107