RESEARCH TOPICS AND PARTNERS

The Clinical Engineering research at our lab focuses on advancing healthcare technology through innovative solutions and global collaborations. Our work spans health technology management, medical informatics, and patient safety, integrating artificial intelligence and real-world data to enhance medical device performance and healthcare outcomes. Through partnerships with academic institutions, industry leaders, and healthcare providers, we develop cutting-edge systems for intelligent health monitoring, hospital efficiency, and medical imaging. By bridging research with practical applications, our lab contributes to shaping the future of clinical engineering, ensuring safer and more effective healthcare solutions worldwide.

The lab’s research in AI for e-Health focuses on developing intelligent systems that enhance healthcare delivery, diagnostics, and patient management. By leveraging machine learning, real-world data, generative AI, AI agents, and advanced analytics, we create innovative solutions for disease prediction, remote monitoring, and clinical decision support. Our collaborations with hospitals, research institutions, and industry partners drive the integration of AI into medical practice, improving efficiency, accuracy, and accessibility in healthcare. Through cutting-edge research, we aim to transform e-Health, making personalized and data-driven medicine a reality.

Our research in Health Technology Assessment (HTA) is dedicated to optimizing the evaluation, implementation, and management of medical technologies to improve healthcare efficiency and patient outcomes. By integrating real-world data, artificial intelligence, and evidence-based methodologies, we develop advanced assessment frameworks that support decision-making for hospitals, policymakers, and industry leaders. Collaborating with academic institutions, healthcare providers, and technology companies, our work ensures that medical innovations are not only effective and safe but also sustainable and accessible, driving the future of healthcare technology management.

Our approach to Evidence-Based Maintenance (EBM) focuses on optimizing the management and performance of medical equipment through data-driven strategies. By integrating predictive analytics, real-world data, and risk-based methodologies, we develop innovative maintenance models that enhance equipment reliability, reduce downtime, and improve patient safety. Collaborating with healthcare providers, regulatory bodies, and industry partners, our work ensures that medical technology is maintained efficiently and cost-effectively, supporting high-quality and sustainable healthcare services.

The lab’s research in Engineering for Health focuses on developing innovative technological solutions to improve hospital safety, efficiency, and patient care. Our work includes advanced UV disinfection systems to reduce healthcare-associated infections, data-driven analysis of hospital premises for optimized space utilization, and semantic ontologies to enhance interoperability in healthcare systems. Through interdisciplinary collaborations with hospitals, research institutions, and industry partners, we design and implement cutting-edge engineering approaches that make healthcare environments safer, smarter, and more sustainable.

Our research in Medical Device Regulation focuses on ensuring the safety, effectiveness, and compliance of healthcare technologies within evolving regulatory frameworks. By analyzing international standards, risk management protocols, and post-market surveillance data, we develop methodologies to support manufacturers, healthcare providers, and policymakers in navigating complex regulatory landscapes. Our collaborations with industry, regulatory bodies, and research institutions drive innovation in compliance strategies, fostering the development of safe and high-quality medical devices that meet global healthcare needs.