Role of Artificial Intelligence and IoT in Optimizing Operations Theatre Scheduling and Resource Management

Background of the Study: Efficient management of operating theatres (OTs) is essential for delivering high-quality healthcare services while minimizing costs, reducing patient waiting times, and maximizing resource utilization. Traditional OT scheduling methods often face challenges such as unpredictable surgery durations, inefficient allocation of staff and equipment, delays, cancellations, and underutilization of resources. The emergence of Artificial Intelligence (AI) and the Internet of Things (IoT) has introduced innovative solutions for improving operational efficiency in healthcare settings. AI-based predictive analytics, machine learning algorithms, and IoT-enabled smart devices facilitate real-time monitoring, forecasting, and decision-making, thereby enhancing OT scheduling and resource management.Introduction: Operating theatres are among the most resource-intensive units in hospitals. Effective scheduling and coordination of surgeons, anesthesiologists, nurses, equipment, and beds are critical for ensuring smooth workflow and patient safety. AI technologies can analyze large volumes of healthcare data to predict surgery duration, optimize scheduling, and improve resource allocation. Simultaneously, IoT devices provide real-time tracking of patients, medical equipment, and environmental conditions. The integration of AI and IoT supports data-driven decision-making, reduces operational inefficiencies, and contributes to the development of smart hospitals.Aim: To evaluate the role of Artificial Intelligence and Internet of Things technologies in optimizing operating theatre scheduling and improving resource management in healthcare institutions.Objectives: The assess the applications of AI in predicting surgical durations and optimizing OT schedules. To examine the role of IoT in real-time monitoring and resource tracking within operating theatres. To evaluate the impact of AI and IoT on operational efficiency, patient outcomes, and cost reduction. To identify challenges and future opportunities associated with AI-IoT integration in OT management.Methodology: This study was conducted as a comprehensive narrative review of published literature from 2015 to 2025. Relevant articles were identified from peer-reviewed journals, conference proceedings, healthcare informatics databases, and reports published by international organizations. Studies focusing on AI-based predictive analytics, machine learning algorithms, IoT-enabled monitoring systems, operating room scheduling optimization, workflow management, and healthcare resource allocation were reviewed and analyzed.Results: The review demonstrated that AI-based predictive models significantly improve surgery duration estimation, reduce scheduling conflicts, and enhance operating theatre utilization rates. Machine learning algorithms effectively forecast patient flow and resource demands, leading to reduced waiting times and increased operational efficiency. IoT technologies enable real-time tracking of surgical instruments, medical equipment, staff availability, and patient movement, resulting in better coordination and resource utilization. Several studies reported reductions in OT idle time, cancellation rates, and operational costs following the implementation of AI and IoT solutions. Integration of these technologies also improved patient safety, workflow transparency, and decision-making processes.Discussion: The findings indicate that AI and IoT are transforming operating theatre management by enabling predictive, automated, and data-driven operations. AI facilitates intelligent scheduling and resource allocation, while IoT provides continuous data collection and monitoring. Together, these technologies support proactive management of healthcare resources and improve service delivery. However, challenges such as data privacy concerns, cybersecurity risks, interoperability issues, implementation costs, and the need for skilled personnel remain significant barriers to widespread adoption. Institutional support, robust digital infrastructure, and regulatory frameworks are necessary for successful implementation.Conclusion: Artificial Intelligence and IoT technologies offer substantial potential for optimizing operating theatre scheduling and resource management. Their integration enhances operational efficiency, improves resource utilization, reduces costs, and supports better patient outcomes. Healthcare organizations adopting AI-IoT-based solutions can achieve smarter, more efficient, and patient-centered surgical services.Summary: The review highlights that AI-driven predictive analytics and IoT-enabled monitoring systems are valuable tools for modern operating theatre management. These technologies facilitate intelligent scheduling, efficient resource allocation, and real-time operational oversight. Despite implementation challenges, AI and IoT are expected to play a central role in the future development of smart hospitals and digital healthcare systems.