Developing and Implementing Digital, Innovative, Sustainable, and Knowledge-based Municipal Healthcare Services in Acute Illness and Trauma
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 1,000
- 试验地点
- 1
- 主要终点
- At location
研究概览
简要总结
Through introducing physicians in front in the medical assessment and decision-making processes in acute and sub-acute illness in the municipalities, as well as including machine learning in analyzing prospective and retrospective data, the project will develop and implement innovative and knowledge-based digital diagnostic tools and decision-making support systems to be used in the municipalities. As such, the project will contribute to early identification of severe illness, prevent deterioration of disease, and facilitate early medical intervention.
详细描述
The overall objective of the project is to determine if and how innovative digital decision-making tools based on artificial intelligence (AI) can help to develop more accessible, efficient, cost-effective, and sustainable municipal healthcare services. More specifically, the project aims are:
- to explore different outcomes of a municipal rapid response car manned with dedicated physicians
- to compare outcomes from Norwegian and Swedish out-of-hospital EMS in acute illness
- to explore how decision-making tools based on AI can be used to optimize dispatch
- to explore how decision-making tools based on AI can assist dispatched personnel and in prehospital care
- to determine the quality and efficacy of the different systems explored through cost-analyses and exploration of stakeholders' experiences with the decision-making tools
研究设计
- 研究类型
- Observational
- 观察模型
- Case Only
- 时间视角
- Prospective
入排标准
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •all patients receiving services from the physician manned rapid response car -
排除标准
- 未提供
结局指标
主要结局
At location
时间窗: 2 hours
Patients treated at location
次要结局
- Transported(2 hours)