Detecting and Understanding Dysfunctional Anomalies in Queensland Healthcare Databases

检测和理解昆士兰医疗保健数据库中的功能异常

• 批准号: LP0776417
• 负责人: A/Prof Marcus Gallagher
• 金额: $ 8.89万
• 依托单位: The University of Queensland
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2008
• 资助国家: 澳大利亚
• 起止时间: 2008-06-30 至 2012-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP0776417
• 关键词: Detecting; Understanding; Dysfunctional; Anomalies; Queensland

Healthcare systems are large complex organizations that are required to function effectively and efficiently. As the main healthcare provider of the state, Queensland Health faces significant challenges in managing the complexity of its operations. This project will use visualization and data mining techniques to support Queensland Health in effective utilisation of its information and communications technology. Through the analysis, detection and prediction of anomalies in the system, the project will contribute to improvements in patient outcomes and efficiency of the Queensland healthcare system.

医疗保健系统是大型复杂的组织，需要有效和高效地运作。作为该州的主要医疗保健提供者，昆士兰州卫生部在管理其复杂的业务方面面临着重大挑战。该项目将使用可视化和数据挖掘技术，支持昆士兰州卫生部门有效利用其信息和通信技术。通过分析、检测和预测系统中的异常情况，该项目将有助于改善患者的治疗结果和昆士兰州医疗保健系统的效率。