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Frank Ückert

Researcher at German Cancer Research Center

Publications -  48
Citations -  512

Frank Ückert is an academic researcher from German Cancer Research Center. The author has contributed to research in topics: Metadata repository & Health care. The author has an hindex of 11, co-authored 44 publications receiving 393 citations. Previous affiliations of Frank Ückert include University of Münster & Boston Children's Hospital.

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Cross-institutional data exchange using the clinical document architecture (CDA).

TL;DR: This paper shows how HL7's clinical document architecture (CDA) can be used to share electronic discharge letters and other clinical data generated and stored in the hospitals electronic patient record (EPR) with general practitioners and to transfer these clinical data to a personal electronic healthrecord (EHR) crossing institutional borders.
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Surgical Data Science - from Concepts toward Clinical Translation

Lena Maier-Hein, +58 more
TL;DR: Surgical Data Science (SDS) is a new research field that aims to improve the quality of interventional healthcare through the capture, organization, analysis and modeling of data as mentioned in this paper.
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IT Infrastructure Components for Biobanking.

TL;DR: IT support for biobanking projects can be based on a federated architectural framework comprising primary data sources for clinical annotations, a pseudonymization service, a clinical data warehouse with a flexible and user-friendly query interface and a biorepository management system.
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Giant cavernous haemangioma with Kasabach-Merritt syndrome: a case report and review

TL;DR: To date prospective randomised and controlled trials are required to investigate the optimal management of patients with Kasabach-Merritt syndrome.
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Exploiting Distributed, Heterogeneous and Sensitive Data Stocks while Maintaining the Owner's Data Sovereignty.

TL;DR: The decentral search, which allows the data owner a high degree of control, is proposed, which leads to several beneficial side effects: improved data protection due to data parsimony, tolerance for incomplete data schema mappings and flexibility with regard to patient consent.