首页|Studies from Department of Industrial Engineering Yield New Data on Machine Learning (Smart Medical Appointment Scheduling: Op- timization, Machine Learning, and Overbooking to Enhance Re- source Utilization)
Studies from Department of Industrial Engineering Yield New Data on Machine Learning (Smart Medical Appointment Scheduling: Op- timization, Machine Learning, and Overbooking to Enhance Re- source Utilization)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
IEEE
2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on artificial intelligence is the subject of a new report. According to news reporting out of the Department of Industrial Engineering by NewsRx editors, research stated, “Scheduling medical appointments plays a fundamental role in managing patient flow and ensuring high-quality care.” Financial supporters for this research include Universidad Del Bio-bio Research Group “operations Management, Sustainability And Data Science”; Universidad Del Bio-bio Project. Our news editors obtained a quote from the research from Department of Industrial Engineering: “However, no-shows can significantly disrupt this process and affect patient care. To address this challenge, healthcare facilities can adopt different strategies, including overbooking in medical consultations. While this reduces the risk of unused slots, it can generate associated costs and affect the perception of service quality. In this article, we propose an integer linear optimization model that maximizes the expected utility of a medical center, considering the risk of no-shows and overbooking. For this purpose, machine learning is used to estimate the propensity of each patient to attend their medical appointment, using real data from three medical specialties of a hospital.”
Department of Industrial EngineeringCyborgsEmerging Tech- nologiesHospitalsMachine Learning
NETL
NSTL
IEEE
