Inproceedings3518

Bringing Data-Driven Process Analysis into Surgical Practice - the Surgical Process Analyzer

Martin Wagner, Tobias Weller, Lena-Marie Ternes, Rudolf Rempel, Maria Maleshkova, York Sure-Vetter, Hannes Kenngott

Published: 2016 Juni

Buchtitel: Proceedings Surgical Data Science
Seiten: 6
Verlag: Springer
Erscheinungsort: Heidelberg
Organisation: Surgical Data Science

Referierte Veröffentlichung

BibTeX

Kurzfassung
The growing number of connected medical devices in the operating room, as well as electronic health records, provide valuable data to analyze surgical processes. In this area of surgical data science, i.e. surgical process analysis, is the challenge to combine methods from computer science and statistics with surgical knowledge about processes and data, such as standard operating procedures, surgical guidelines, uncertainty and data quality. We propose to develop a framework, that integrates handling of data, knowledge models and data analysis with an intuitive user interface for data visualization, process analytics and knowledge capturing, which is usable by domain experts such as surgeons. The aim of this so-called “Surgical Process Analyzer” is to bring surgical process analysis into surgical practice, to provide benefit for patients and advance research in surgical data science by addressing real-world use-cases with collaboration of surgeons and data scientists.

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Forschungsgruppe

Web Science und Wissensmanagement

Forschungsgebiet