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@article{196631,
        author = {SANDEEP KUMAR and Dr Charu Bisaria and Dr Neeraj Yadav},
        title = {AI-Driven Smart Hospital Management Framework: Improving Hospital Efficiency and Patient Flow},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {5158-5164},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196631},
        abstract = {Background: Healthcare systems around the world are experiencing significant challenges due to increasing patient demand, limited healthcare resources, and rising expectations for quality healthcare services. Hospitals frequently face operational issues such as overcrowding, long waiting times, inefficient patient flow, and poor resource management. These challenges highlight the need for innovative technological solutions that can improve healthcare management and hospital efficiency.
Artificial Intelligence (AI) has emerged as a transformative technology capable of addressing many of these challenges. AI technologies can analyze large volumes of healthcare data, support predictive decision-making, and automate administrative processes in healthcare organizations.
Objective: The primary objective of this study is to develop an AI-Driven Smart Hospital Management Framework that explains how Artificial Intelligence technologies can enhance hospital efficiency, optimize patient flow management, and improve healthcare service delivery.
Methods: This study adopts a conceptual research approach based on a comprehensive review of existing literature related to Artificial Intelligence, healthcare management, and digital health systems. Academic journals, healthcare technology reports, and case studies of AI implementation in hospitals were analyzed to develop the proposed framework.
Results: The findings suggest that AI technologies such as machine learning, predictive analytics, and intelligent hospital information systems can significantly improve hospital operational performance. AI-driven solutions can enhance patient scheduling systems, optimize hospital resource allocation, and reduce administrative workload.
Conclusion: The study concludes that integrating Artificial Intelligence into hospital management systems can significantly improve hospital efficiency, patient flow management, and healthcare service quality. The proposed framework provides a strategic roadmap for healthcare institutions seeking to adopt AI-enabled smart hospital systems.},
        keywords = {},
        month = {April},
        }