Smart evidence-based software for latent tuberculosis infection decision support

用于潜伏性结核感染决策支持的智能循证软件

• 批准号: nhmrc : GNT1070659
• 负责人: Dr Rachel Sacks-Davis
• 金额: $ 30.46万
• 依托单位国家: 澳大利亚
• 项目类别: Early Career Fellowships
• 财政年份: 2015
• 资助国家: 澳大利亚
• 起止时间: 2015-01-01 至 无数据
• 项目状态: 已结题
• 来源: https://researchdata.edu.au/smart-evidence-based-decision-support/1344991
• 关键词: Smart; evidence; based; software; latent

Intelligent decision-assistance software will be developed to aid clinicians and patients to make complex decisions about tuberculosis diagnosis and management. The software will be fully integrated into existing medical record technologies, and make use of the information that is contained in the medical record. The software will be used to project risks of adverse events for individual patients and illustrate them using graphical aids, leading to improved diagnosis and better patient outcomes.

将开发智能决策辅助软件，以帮助临床医生和患者做出有关结核病诊断和管理的复杂决策。该软件将完全集成到现有的医疗记录技术中，并利用医疗记录中包含的信息。该软件将用于预测个体患者不良事件的风险，并使用图形辅助工具进行说明，从而改进诊断并改善患者的治疗结果。