An Intelligent System for Management of Medical Equipment Maintenance
- سال انتشار: 1402
- محل انتشار: مجله ایمنی و بهبود بیمار، دوره: 11، شماره: 3
- کد COI اختصاصی: JR_PSQ-11-3_003
- زبان مقاله: انگلیسی
- تعداد مشاهده: 183
نویسندگان
Deputy of Treatment, Mashhad University of Medical Sciences, Mashhad, Iran
Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
Deputy of Treatment, Mashhad University of Medical Sciences, Mashhad, Iran
Deputy of Treatment, Mashhad University of Medical Sciences, Mashhad, Iran
چکیده
Introduction:This paper proposes an intelligent system for managing medical equipment maintenance in healthcare facilities. The system utilizes machine learning algorithms and data analytics to predict equipment failures, schedule maintenance tasks, and manage spare parts inventory efficiently. The aim is to improve equipment availability and reliability, reduce maintenance costs, and increase patient safety.Materials and Methods: The proposed system consists of several modules: data collection, preprocessing, equipment failure prediction, maintenance scheduling, spare parts inventory management, and integration. Real-world data is used to evaluate and compare the system's performance with other maintenance management approaches. Results: The results demonstrate that the proposed system can accurately predict equipment failures, schedule maintenance tasks efficiently, and manage spare parts inventory effectively. This improves equipment availability and reliability, reduces maintenance costs, and ensures that spare parts are available when needed without incurring excessive inventory costs.Conclusion:Overall, the proposed intelligent system for managing medical equipment maintenance is an effective solution for healthcare facilities to optimize maintenance operations, reduce costs, and ensure patient safety.کلیدواژه ها
Medical E۱quipment, Maintenance Management, Intelligent System, Machine Learningاطلاعات بیشتر در مورد COI
COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.
کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.