Innovative Applications of Drones in Health Informatics: Real-Time Health Data Collection and Surveillance for Worker Safety in Construction Fields
The integration of drones in health informatics is transforming real-time health data collection and surveillance, particularly in high-risk construction environments. Construction workers are frequently exposed to hazardous conditions, including heat stress, airborne pollutants, and physical fatigue, necessitating continuous health monitoring to prevent accidents and long-term health complications. This paper explores the deployment of drone-based systems equipped with advanced sensors, including thermal imaging, gas detectors, and real-time physiological monitoring, to assess workers’ health conditions remotely. By leveraging AI-driven analytics and cloud-based data processing, these drones provide instant alerts for abnormal health indicators, enabling timely intervention. Unlike conventional monitoring methods that rely on periodic manual checks, drones offer a scalable and autonomous solution, enhancing both worker safety and operational efficiency. The study presents a framework for integrating drones with wearable health sensors, outlining their potential to revolutionize workplace health surveillance in construction fields. Key challenges, including data privacy, regulatory compliance, and system reliability, are also discussed, along with future directions for improving drone-assisted health monitoring.
Authors
- Eleftheria Maria Pechlivani (ORCID: https://orcid.org/0000-0001-6385-2815)
- Daniela Gîfu (ORCID: https://orcid.org/0000-0001-8116-053X)
- Pablo Flores Peña (ORCID: https://orcid.org/0009-0005-7219-6879)
- Ahmed Refaat Ragab (ORCID: https://orcid.org/0000-0002-6897-6048)
- Mohammad Sadeq Ale Isaac (ORCID: https://orcid.org/0000-0001-8773-7184)
- David Martín (ORCID: https://orcid.org/0000-0003-3764-5083)
Institutions
- Academia Oamenilor de Știință din România (RO)
- Information Technologies Institute (GR)
- Econet (Spain) (ES)
- Centre for Automation and Robotics (ES)
- October 6 University (EG)
- Universidad Carlos III de Madrid (ES)
- Romanian Academy (RO)
Publication Details
- Journal
- Procedia Computer Science
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.procs.2025.09.150
- Primary Topic
- Occupational Health and Safety Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00