Dr. Thomas Neumuth

Semmelweisstr. 14
04103 Leipzig

Tel: +49 (0) 341 / 97-120
Fax: +49 (0) 341 / 97-120
Email: thomas.neumuth (at) iccas.de

Background & Position

Thomas Neumuth is head of the research group „Workflow and Knowledge Management“ at the Innovation Center Computer Assisted Surgery (ICCAS). ICCAS is part of the Medical Faculty of the Universität Leipzig.

 

He has been working in the reasearch area of Surgical Workflows and knowledge management in the operating room of the future since 2005. His research topics include the modeling of Surgical Processes, workflow management systems, sensor system engineering for situational awareness as part of the operating room infrastructure, and surgical ontologies. He organized a number of workshops on Surgical Workflows at international conferences (CARS, CURAC) and is member of the German Engineering Society (VDE) and the German Society for Computer- and Robot-assited Surgery (CURAC).

 

After completing an apprenticeship in Business and Administration at Siemens AG, Germany (1997), he studied Electrical Engineering Management (2001) and Automation Engineering (2004) at the University of Applied Sciences Leipzig. He received his PhD from the Universität Leipzig with "summa cum laude". Alongside his studies, he worked as engineering assistant for Siemens in the divisions of „Automation and Drives“ and „Information and Communication Networks“ from 1998 to 2004 before he joined ICCAS.

 

He holds lectures for process control systems, situational awareness systems, and workflow management systems in computer science, medicine, and electrical engineering at the University of Leipzig, the University of Applied Sciences Leipzig, and the Technical University of Berlin.

 

Research Areas

Surgical Process Modeling

Surgical Workflow Management

Knowledge Management in the Operating Room

Surgical Ontologies

Publications

 ...  2006  2007  2008  2009  2010 
Articles:
1. T. Neumuth, B. Kaschek, D. Goldstein, M. Ceschia, J. Meixensberger, G. Strauss, O. Burgert ,
An observation support system with an adaptive ontology-driven user interface for the modeling of complex behaviors during surgical interventions ,
(2010), to be published
 ...  2006  2007  2008  2009  2010