Výsledky vyhledávání - "Maximilian, Klass"

Akademický článek

Next-generation study databases require FAIR, EHR-integrated, and scalable Electronic Data Capture for medical documentation and decision support

Autor: Martin Dugas, Max Blumenstock, Tobias Dittrich, Urs Eisenmann, Stephan Christoph Feder, Fleur Fritz-Kebede, Lucy J. Kessler, Maximilian Klass, Petra Knaup, Christoph U. Lehmann, Angela Merzweiler, Christian Niklas, Thomas M. Pausch, Nelly Zental, Matthias Ganzinger

Publikováno v: npj Digital Medicine, Vol 7, Iss 1, Pp 1-8 (2024)

Abstract Structured patient data play a key role in all types of clinical research. They are often collected in study databases for research purposes. In order to describe characteristics of a next-generation study database and assess the feasibility

Externí odkaz: https://doaj.org/article/ff4941fceba6475197fa4d0d176acfa2

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Akademický článek

Exploring Stakeholder Requirements to Enable Research and Development of Artificial Intelligence Algorithms in a Hospital-Based Generic Infrastructure: Results of a Multistep Mixed Methods Study

Autor: Lina Weinert, Maximilian Klass, Gerd Schneider, Oliver Heinze

Publikováno v: JMIR Formative Research, Vol 7, p e43958 (2023)

BackgroundLegal, controlled, and regulated access to high-quality data from academic hospitals currently poses a barrier to the development and testing of new artificial intelligence (AI) algorithms. To overcome this barrier, the German Federal Minis

Externí odkaz: https://doaj.org/article/c0ac47255180419096e3578d5df99050

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Akademický článek

Exploring Stakeholder Requirements to Enable the Research and Development of Artificial Intelligence Algorithms in a Hospital-Based Generic Infrastructure: Protocol for a Multistep Mixed Methods Study

Autor: Lina Weinert, Maximilian Klass, Gerd Schneider, Oliver Heinze

Publikováno v: JMIR Research Protocols, Vol 11, Iss 12, p e42208 (2022)

BackgroundIn recent years, research and developments in advancing artificial intelligence (AI) in health care and medicine have increased. High expectations surround the use of AI technologies, such as improvements for diagnosis and increases in the

Externí odkaz: https://doaj.org/article/01a5e6c7871b4bf6a94c1dcbce900f37

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Exploring Stakeholder Requirements to Enable Research and Development of Artificial Intelligence Algorithms in a Hospital-Based Generic Infrastructure: Results of a Multistep Mixed Methods Study (Preprint)

Autor: Lina Weinert, Maximilian Klass, Gerd Schneider, Oliver Heinze

BACKGROUND Legal, controlled, and regulated access to high-quality data from academic hospitals currently poses a barrier to the development and testing of new artificial intelligence (AI) algorithms. To overcome this barrier, the German Federal Mini

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0b9d852b4fec0c044a8ff90b73b5200a
https://doi.org/10.2196/preprints.43958

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Exploring Stakeholder Requirements to enable research and development of AI algorithms in a hospital based generic infrastructure: Research Protocol for a multi-step mixed-methods study (Preprint)

Autor: Lina Weinert, Maximilian Klass, Oliver Heinze

BACKGROUND In recent years, research and developments in advancing Artificial Intelligence (AI) in healthcare and medicine have increased. High expectations surround the use of AI technologies, such as improvements for diagnosis and increases in qual

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e4643ece2be8902890972956334e1c42
https://doi.org/10.2196/preprints.42208

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Estimation and Monitoring of Operating Room Utilization by a Distributed Streaming and Analytics Architecture Deployed at Heidelberg University Hospital's Medical Data Integration Center

Autor: Oliver, Klar, Maximilian, Klass, Gerd, Schneider, Hannes, Kenngott, Oliver, Heinze

Publikováno v: Studies in health technology and informatics. 290

Operating rooms are a major cost factor in a hospital's budget. Therefore, there is a need for process optimization related to the operating rooms (OR). However, the collection of key figures for process optimization is often done manually by medical

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::2d062e98df62312a1e26bacbbcf1e273
https://pubmed.ncbi.nlm.nih.gov/35673032

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Estimation and Monitoring of Operating Room Utilization by a Distributed Streaming and Analytics Architecture Deployed at Heidelberg University Hospital’s Medical Data Integration Center

Autor: Oliver Klar, Maximilian Klass, Gerd Schneider, Hannes Kenngott, Oliver Heinze

Operating rooms are a major cost factor in a hospital’s budget. Therefore, there is a need for process optimization related to the operating rooms (OR). However, the collection of key figures for process optimization is often done manually by medic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3b1ded6fbf1e582c077809fce4e0701d
https://doi.org/10.3233/shti220093

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Using openEHR in XDS.b Environments - Opportunities and Challenges

Autor: Reto, Wettstein, Angela, Merzweiler, Maximilian, Klass, Oliver, Heinze

Publikováno v: Studies in health technology and informatics. 272

The HiGHmed research project as part of Germany's Medical Informatics Initiative aims to establish Medical Data Integration Centers (MeDIC) at each participating institution to integrate data of multiple primary information systems in a single place.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::89c25296e6b9f56555526517514d3604
https://pubmed.ncbi.nlm.nih.gov/32604661

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