چاپ صفحه |  صفحه نخست سامانه |  نویسندگان |  اطلاعات تفضیلی |  دانلود مقاله | دانشگاه علوم پزشکی تبریز |
| نویسنده | نفر چندم مقاله |
|---|---|
| سولماز فخاری | اول |
| بهمن نقی پور باسمنج | دوم |
| مرجان دهدیلانی | سوم |
| عنوان | متن |
|---|---|
| خلاصه مقاله | Scheduling surgeries in the operating room is a critical challenge in healthcare management. Issues such as delays, inefficient resource utilization, and disruptions in workflownegativelyimpactservicequalityandpatientsatisfaction. Artificialintelligence (AI) offers advanced algorithms that provide new opportunities to optimize these processes.This paper explores the application of AI in optimizing surgical schedules and managing operating room resources. Machine learning and data-driven optimization algorithms analyze performance patterns and historical data to determine optimal surgery times and prevent overlaps. These systems also predict delays and enable efficient resource allocation.Studies indicate that implementing AI-based systems significantly reduce patient waiting times, enhances staff productivity, and improves overall surgical team satisfaction.These findings highlight the need for the development and integration of intelligent technologies in operating room management |
| کلمات کلیدی | Artificial Intelligence, Smart Scheduling, Operating Room |
| نام فایل | تاریخ درج فایل | اندازه فایل | دانلود |
|---|---|---|---|
| 01.pdf | 1403/12/13 | 2116440 | دانلود |
| 044.jpg | 1403/12/13 | 101114 | دانلود |
