摘要: 数据驱动的医院容量规划和管理方法涉及使用历史和实时数据来识别患者需求、资源利用率和其他关键指标的模式和趋势。这些信息有助于开发预测模型、预测患者需求、优化人员配置水平并改善患者预后。电子健康记录系统和物联网设备也可用于实时监控医院运营并识别效率低下的环节。医院容量规划和管理对于确保医疗机构拥有足够的资源来满足患者需求至关重要。数据驱动的方法可以通过提供对患者需求、资源利用率和其他关键指标的洞察来帮助应对这些挑战。本文探讨了各种数据驱动的医院容量规划和管理方法及其潜在优势。本文还强调了拥有合适的基础设施和专业知识来有效地收集、分析和处理这些数据的重要性。

Abstract: Data-driven approaches to hospital capacity planning and management involve using historical and real-time data to identify patterns and trends in patient demand, resource utilization, and other key metrics. This information provides to develop predictive models, forecast patient demand, optimize staffing levels, and improve patient outcomes. Electronic health record systems and Internet of Things devices can also be used to monitor hospital operations in real-time and identify areas of inefficiency. Hospital capacity planning and management are critical to ensuring that healthcare facilities have enough resources to meet the needs of their patients. Data-driven approaches can be helpful in addressing these challenges by providing insights into patient demand, resource utilization, and other key metrics. This article discusses the various data-driven approaches to hospital capacity planning and management and their potential benefits. It also highlights the importance of having the right infrastructure and expertise effectively collect, analyse, and act on this data.