Evaluating the need to recognize and measure the reduction of duplications in the hospital spaces reform projects using Building Information Modeling

Having so many old and burnout hospitals in third world countries is one of the major problems in the health sector. This issue besides low per capital hospital beds has led to many problems in the health department. In big cities, the possibility to provide land for the construction of alternative hospitals is very costly and non-economic and even impossible. Considering the complexities of building new hospital, the only solution is making reforms in the hospitals through renovation or rebuilding the project. Moreover, increased general inflation and currency fluctuations in third world countries make most hospitals and medical centers into trouble, which this issue results in increased medical costs. Thus, cost savings in hospitals have significant impact on their workflow and consequently patient satisfaction in terms of quality of services. Lack of proper implementation of hospital spaces reform projects has challenged realization of these savings. Building Information Modeling (BIM) is revolutionizing how to design and implement buildings. Moreover, it is not just 3D tool in CAD, but it is kind of database, which makes possible providing wide range of information about features and relations among various sections of building. This study aims to evaluate the need to recognize and measure the reduction of duplications in the hospital spaces reform projects using BIM, in order to make significant savings in waste of hospitals’ resources. In-depth literature review method is applied to collect proper data aiming to introduce BIM as tool to reduce costs of hospitals’ reforms. This study helps project stakeholders in the field of health infrastructure to better understand the importance of BIM application to prevent various financial wastes in the projects and fulfill their decisions with better recognition.

Keywords:

Duplications , Spaces reform , Hospital construction , Building Information Modeling , BIM