Search Results - "Klopfenstein, Sophie Anne Inès"

Towards an Interoperability Landscape for a National Research Data Infrastructure for Personal Health Data by Vorisek, Carina Nina, Klopfenstein, Sophie Anne Inès, Löbe, Matthias, Schmidt, Carsten Oliver, Mayer, Paula Josephine, Golebiewski, Martin, Thun, Sylvia

“…The German initiative “National Research Data Infrastructure for Personal Health Data” (NFDI4Health) focuses on research data management in health research. It…”
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Mapping the SPHN Dataset to FHIR by Klopfenstein, Sophie Anne Inès, Thun, Sylvia, Crameri, Katrin, Stellmach, Caroline

“…Several European health data research initiatives aim to make health data FAIR for research and healthcare, and supply their national communities with…”
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Fast Healthcare Interoperability Resources (FHIR) for Interoperability in Health Research: Systematic Review by Vorisek, Carina Nina, Lehne, Moritz, Klopfenstein, Sophie Anne Ines, Mayer, Paula Josephine, Bartschke, Alexander, Haese, Thomas, Thun, Sylvia

“…Background: The standard Fast Healthcare Interoperability Resources (FHIR) is widely used in health information technology. However, its use as a standard for…”
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Artificial Intelligence Bias in Health Care: Web-Based Survey by Vorisek, Carina Nina, Stellmach, Caroline, Mayer, Paula Josephine, Klopfenstein, Sophie Anne Ines, Bures, Dominik Martin, Diehl, Anke, Henningsen, Maike, Ritter, Kerstin, Thun, Sylvia

“…Resources are increasingly spent on artificial intelligence (AI) solutions for medical applications aiming to improve diagnosis, treatment, and prevention of…”
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Computational approaches to alleviate alarm fatigue in intensive care medicine: A systematic literature review by Chromik, Jonas, Klopfenstein, Sophie Anne Ines, Pfitzner, Bjarne, Sinno, Zeena-Carola, Arnrich, Bert, Balzer, Felix, Poncette, Akira-Sebastian

“…Patient monitoring technology has been used to guide therapy and alert staff when a vital sign leaves a predefined range in the intensive care unit (ICU) for…”
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Making Epidemiological and Clinical Studies FAIR Using the Example of COVID-19 by Pigeot, Iris, Ahrens, Wolfgang, Darms, Johannes, Fluck, Juliane, Golebiewski, Martin, Hahn, Horst K., Hu, Xiaoming, Intemann, Timm, Kasbohm, Elisa, Kirsten, Toralf, Klammt, Sebastian, Klopfenstein, Sophie Anne Ines, Lassen-Schmidt, Bianca, Peters, Manuela, Sax, Ulrich, Waltemath, Dagmar, Schmidt, Carsten Oliver

“…FAIRification of personal health data is of utmost importance to improve health research and political as well as medical decision-making, which ultimately…”
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A Standardized Clinical Data Harmonization Pipeline for Scalable AI Application Deployment (FHIR-DHP): Validation and Usability Study by Williams, Elena, Kienast, Manuel, Medawar, Evelyn, Reinelt, Janis, Merola, Alberto, Klopfenstein, Sophie Anne Ines, Flint, Anne Rike, Heeren, Patrick, Poncette, Akira-Sebastian, Balzer, Felix, Beimes, Julian, von Bünau, Paul, Chromik, Jonas, Arnrich, Bert, Scherf, Nico, Niehaus, Sebastian

“…Increasing digitalization in the medical domain gives rise to large amounts of health care data, which has the potential to expand clinical knowledge and…”
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HL7 FHIR in Health Research: A FHIR Specification for Metadata in Clinical, Epidemiological, and Public Health Studies by Hölter, Thimo, Klopfenstein, Sophie Anne Inès, Mayer, Paula Josephine, Sass, Julian, Thun, Sylvia, Vorisek, Carina Nina

“…This work presents the Fast Healthcare Interoperability Resources (FHIR®) specification of the NFDI4Health Metadata schema based on FHIR Version 4: We created…”
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Implementing SNOMED CT in Open Software Solutions to Enhance the Findability of COVID-19 Questionnaires by Vorisek, Carina Nina, Essenwanger, Eduardo Alonso, Klopfenstein, Sophie Anne Ines, Sass, Julian, Henke, Jörg, Schmidt, Carsten Oliver, Thun, Sylvia

“…SNOMED CT fosters interoperability in healthcare and research. This use case implemented SNOMED CT for browsing COVID-19 questionnaires in the open-software…”
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Fast Healthcare Interoperability Resources (FHIR) in a FAIR Metadata Registry for COVID-19 Research by Klopfenstein, Sophie Anne Ines, Vorisek, Carina Nina, Shutsko, Aliaksandra, Lehne, Moritz, Sass, Julian, Löbe, Matthias, Schmidt, Carsten Oliver, Thun, Sylvia

“…Adopting international standards within health research communities can elevate data FAIRness and widen analysis possibilities. The purpose of this study was…”
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