BIM and Data Science for Healthcare and Infrastructure Facilities

The management of healthcare and infrastructure facilities faces increasing pressure to enhance efficiency, sustainability, and service quality while addressing financial and operational constraints. These environments are complex, data-intensive, and require integrated and robust information management strategies. Building Information Modeling (BIM), when integrated with data science, offers immense potential for optimizing facility operations, improving performance, and enabling predictive insights. However, the challenge remains in effectively integrating these fields for real-world implementation.
This special issue explores the intersection of BIM and data science in revolutionizing both healthcare and infrastructure facility operations. We invite contributions investigating data-driven approaches leveraging BIM for optimizing space utilization, enhancing operational efficiency, predicting maintenance needs, and improving sustainability in healthcare and infrastructure settings. Studies employing machine learning, AI, IoT, big data analytics, augmented reality, and other advanced technologies integrated with BIM are particularly encouraged.

Bridging the Gap Between BIM Potentials and Real-World Impact in Healthcare and Infrastructure. The potential of BIM has been realized across various domains of the built environment, holding immense promise for transforming healthcare and infrastructure facilities into smarter, more resilient, and efficient spaces. However, its full real-world impact remains underdeveloped. The complexity of these facilities directly influences service delivery, operational sustainability, and the well-being of occupants.
Unlocking BIM’s full potential through interdisciplinary research that explores cutting-edge technologies and data-driven insights can bridge this research gap. Advances such as Open BIM standards for improved data exchange, semantic web technologies for advanced analysis, predictive analytics integrated with BIM, and human-centered system designs for user-friendly visualization can drive practical implementations. Additionally, modern methods of construction, augmented reality, IoT, and big data offer further avenues to enhance facility design, management, and performance. This special issue aims to advance knowledge and foster innovation at the intersection of BIM, data science, and emerging digital technologies for healthcare and infrastructure.

We welcome submissions exploring:

* AI-powered predictive maintenance in healthcare and infrastructure facilities
* BIM-enabled decision models for facility management
* Interoperability challenges and solutions for integrating diverse data sources
* Cyber-physical system architecture for infrastructure and healthcare facility management
* BIM-integrated platforms for real-time monitoring, data management, and resource allocation
* Modern Methods of Construction (MMC) and their integration with BIM
* Augmented reality applications in facility design and maintenance
* Data standardization, communication protocols, and security considerations
* IoT and big data applications in healthcare and infrastructure operations
* Data visualization and user interface design for facility stakeholders
* Ethical implications of using facility data in BIM
* Digital Twins for healthcare and infrastructure facilities

We are particularly interested in case studies presenting practical applications, novel methodology papers, and state-of-the-art literature review papers. Contributions should clearly articulate the role of BIM and data science in addressing specific challenges and opportunities within healthcare and infrastructure facilities.

Article types and fees

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Editorial
• FAIR² Data
• FAIR² DATA Direct Submission
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• Original Research
• Perspective
• ... View all formats

Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.

Article types

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Editorial
• FAIR² Data
• FAIR² DATA Direct Submission
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• Original Research
• Perspective
• Review

Keywords: BIM, Healthcare, Impact, Models, Management

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.