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A toolchain for big data analyses in the intelligent cognitive operating room

  • This project aims to evaluate existing big data infrastructures for their applicability in the operating room to support medical staff with context-sensitive systems. Requirements for the system design were generated. The project compares different data mining technologies, interfaces, and software system infrastructures with a focus on their usefulness in the peri-operative setting. The lambda architecture was chosen for the proposed system design, which will provide data for both postoperative analysis and real-time support during surgery.

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Metadaten
Author of HS ReutlingenKirsch, Elena; Junger, Denise; Kücherer, Christian; Burgert, Oliver
URN:urn:nbn:de:bsz:rt2-opus4-45258
DOI:https://doi.org/10.3233/SHTI230090
ISBN:9781643683881
ISSN:0926-9630
Erschienen in:Caring is sharing – exploiting the value in data for health and innovation : proceedings of MIE 2023, 22-25 May 2023, Gothenburg (Studies in health technology and informatics ; 302)
Publisher:IOS Press
Place of publication:Amsterdam
Editor:Maria Hägglund, Madeleine Blusi, Stefano Bonacina
Document Type:Conference proceeding
Language:English
Publication year:2023
Tag:cognitive OR; context-aware operating room; surgical data science
Page Number:2
First Page:149
Last Page:150
DDC classes:610 Medizin, Gesundheit
Open access?:Ja
Licence (German):License Logo  Creative Commons - CC BY-NC - Namensnennung - Nicht kommerziell 4.0 International