- search hit 1 of 1
Immersive Spatial Planning in Healthcare: Developing a Pipeline to Automatically Convert Computer Aided DesignData to Virtual Reality
- 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
Author: | Fabian Wagner, Miran Jank, Andrea Balz, Mathias ForjanORCiD, Philipp Urbauer |
---|---|
DOI: | https://doi.org/https://doi.org/10.3233/shti230019 |
Parent Title (English): | dHealth 2023, 17th Annual Conference on Health Informatics meets Digital Health |
Document Type: | Conference Proceeding |
Language: | English |
Completed Date: | 2023/05/16 |
Responsibility for metadata: | Fachhochschule Technikum Wien |
Release Date: | 2023/10/30 |
GND Keyword: | Automation; Spacial Planning; Virtual Reality |
Volume: | 301 |
Pagenumber: | 6 |
First Page: | 96 |
Last Page: | 101 |
Publish on Website: | 1 |
Open Access: | 0 |
Reviewed: | 0 |
Invited: | 0 |
Keynote: | 0 |
Department: | Department Computer Science |
Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit |
Research Focus: | Data-Driven, Smart & Secure Systems |
Projects: | FFG - COIN / MedTEch_mR |
Studienjahr: | 2022/2023 |
Licence (German): | ![]() |