TY  - CHAP
A1  - Wagner, Fabian
A1  - Jank, Miran
A1  - Balz, Andrea
A1  - Forjan, Mathias
A1  - Urbauer, Philipp
T1  - Immersive Spatial Planning in Healthcare: Developing a Pipeline to Automatically Convert Computer Aided DesignData to Virtual Reality
T2  - dHealth 2023, 17th Annual Conference on Health Informatics meets Digital Health
N2  - Equipping rooms used for medical purposes, like e.g., intensive care units, 
is an expensive and time-consuming task. In order to avoid extensive subsequent 
adjustments due to inappropriate layout visualization or geometric conditions 
difficult to identify in 2D plans, it is of utmost importance to provide an optimal 
planning environment to future users such as physicians and nurses. In this paper 
we present the concept of a fully automatized pipeline, which is designed to 
visualize computer aided design (CAD) data using virtual reality (VR).  The 
immersive VR experience results in improvement of efficiency in the decision-
making process during the planning phase due to better spatial imagination. The 
pipeline was successfully tested with CAD data from existing Intensive Care Units. 
The results indicate that the pipeline can be a valuable tool in the field of spatial 
planning in healthcare, due to simple usage and fast conversion of CAD data. The 
next step will be the development of a plugin for CAD tools to allow for interactions 
with the CAD models in Virtual Reality, which is not yet possible without manual 
intervention
KW  - Virtual Reality
KW  - Spacial Planning
KW  - Automation
Y1  - 
U6  - http://dx.doi.org/https://doi.org/10.3233/shti230019
VL  - 301
SP  - 96
EP  - 101
ER  -