id |
caadria2025_834 |
authors |
Haque, Md Obidul, Kim, Jong Bum, Verniz, Debora and Balthazor, Troy |
year |
2025 |
title |
Healthcare BIM: A framework for computational compliance checking to enhance accessibility in healthcare facilities |
source |
Dagmar Reinhardt, Christiane M. Herr, Anastasia Globa, Jielin Chen, Taro ?Narahara, Nicolas Rogeau (eds.), ARCHITECTURAL INFORMATICS - Proceedings of the 30th CAADRIA Conference, Tokyo, 22-29 March 2025, Volume 3, pp. 69–78 |
summary |
Healthcare design often fails to address the specific needs of patients with disabilities due to complex accessibility requirements, resulting in environments that lack adequate accessibility. The Americans with Disabilities Act (ADA) establishes standards to ensure equitable access for individuals with disabilities, yet compliance with these regulations remains a persistent challenge. This paper presents a semi-automated framework for evaluating ADA compliance in healthcare facilities, demonstrated through a case study focusing on restroom accessibility. Leveraging Building Information Modeling (BIM) and visual programming, the framework introduces a structured process for collecting, filtering, and analyzing design objects in accordance with ADA requirements. By integrating parametric algorithms, the system automates key aspects of compliance assessment, reduces manual input, and delivers real-time insights into design adherence. The case study highlights the framework's ability to identify compliance issues effectively and suggests its adaptability for broader healthcare design applications. This approach facilitates the incorporation of ADA standards early in the design process, promoting environments that support the diverse accessibility needs of individuals with disabilities. |
keywords |
BIM, Algorithmic-Parametric-Modelling, Computational-Compliance-Check, Automation, ADA Standards |
series |
CAADRIA |
full text |
file.pdf (971,086 bytes) |
references |
Content-type: text/plain
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last changed |
2025/03/21 12:08 |
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