BIM-based big data analytic system for healthcare facility management

Gökhan Demirdöğen, Zeynep Işık*, Yusuf Arayici

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

27 Citations (Scopus)

Abstract

Facility management (FM) is the costliest stage in the building lifecycle of healthcare buildings. Building Information Modeling (BIM) has potential solution to enable information management for healthcare FM. However, BIM is not used at FM due to its static nature, while healthcare FM requires dynamic information handling. The FM systems in practice and literature require either implementation of WebGL-HTML5 applications that necessitates coding knowledge for updates or data analysis. Therefore, this paper aims to develop a healthcare FM system based on Big Data Analytic (BDA), BIM and Not only SQL (NoSQL) database to enable FM information query and FM-KPI (Key Performance Indicator) visualization. The proposed system is developed through Design Science Research methodology. Findings show that the system is effective and practical to perform FM data retrival and analysis by practioners in healthcare facilities management effectively.

Original languageEnglish
Article number105713
JournalJournal of Building Engineering
Volume64
Early online date10 Dec 2022
DOIs
Publication statusPublished - 1 Apr 2023

Keywords

  • Big data analytics
  • BIM
  • Dynamo
  • Facility management
  • NoSQL database

Fingerprint

Dive into the research topics of 'BIM-based big data analytic system for healthcare facility management'. Together they form a unique fingerprint.

Cite this