The healthcare industry is a complex and vital sector that plays a fundamental role in society, focusing on the well-being and health of individuals. In recent years, the integration of Artificial Intelligence (AI) into hospital logistics has emerged as a transformative force in the healthcare industry. This study investigates the application of AI in hospital logistics to enhance tracking and overall operational efficiency. A questionnaire was designed to gather quantitative and qualitative data on various aspects of hospital logistics, AI integration, challenges, and potential improvements. Qualitative data from open- ended questions and interviews were analyzed thematically to extract key themes and insights. The results show that AI has become an essential tool for optimizing logistics processes, improving patient outcomes, and enhancing the overall patient experience. However, careful planning, implementation, and consideration of data privacy and staff readiness are critical for successful AI adoption in hospital logistic.

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Artificial Intelligence for Enhanced Logistics Tracking in Hospitals

  • Rahul Dhaigude,
  • Ruby Chanda,
  • Shrikant Ghadge

摘要

The healthcare industry is a complex and vital sector that plays a fundamental role in society, focusing on the well-being and health of individuals. In recent years, the integration of Artificial Intelligence (AI) into hospital logistics has emerged as a transformative force in the healthcare industry. This study investigates the application of AI in hospital logistics to enhance tracking and overall operational efficiency. A questionnaire was designed to gather quantitative and qualitative data on various aspects of hospital logistics, AI integration, challenges, and potential improvements. Qualitative data from open- ended questions and interviews were analyzed thematically to extract key themes and insights. The results show that AI has become an essential tool for optimizing logistics processes, improving patient outcomes, and enhancing the overall patient experience. However, careful planning, implementation, and consideration of data privacy and staff readiness are critical for successful AI adoption in hospital logistic.