广东医科大学附属医院临床手术时效多维度分析数据集

本数据集系统记录了广东医科大学附属医院在2024年度期间的临床手术时效数据，涵盖多个科室的手术案例。数据来源于医院的手术麻醉临床信息系统（AIMS），通过系统平台由医生、护士等医疗人员进行手术信息上报，经审核与分类后形成完整数据集。本数据集旨在全面反映医院手术时效情况，为医院精细化管理提供数据支持，助力医院管理决策的科学化与精准化。

This dataset systematically records clinical surgical timeliness data of the Affiliated Hospital of Guangdong Medical University during the 2024 calendar year, covering surgical cases from multiple departments. The data is sourced from the hospital's Surgical Anesthesia Clinical Information System (AIMS). Surgical information is reported by medical staff such as doctors and nurses via the system platform, and a complete dataset is formed after review and classification. This dataset aims to comprehensively reflect the hospital's surgical timeliness status, provide data support for the hospital's refined management, and facilitate the scientific and precise decision-making of hospital management.

搜集汇总

背景与挑战

背景概述

该数据集系统记录了广东医科大学附属医院2024年度临床手术时效数据，涵盖多个科室的手术案例，来源于医院手术麻醉临床信息系统（AIMS），旨在为医院精细化管理提供数据支持。数据集经过严格的预处理和标准化处理，应用场景包括医院运行状态监测、管理绩效评估、资源优化配置和政策制定与调整等。