Evaluation of a Generative AI-Based Communication and Clinical Documentation System and Its Impact on Workflow Efficiency in the Emergency Department
试验速览
- 阶段
- 不适用
- 状态
- 进行中(未招募)
- 入组人数
- 36
- 试验地点
- 1
研究概览
简要总结
This research study at Samsung Medical Center evaluates the impact of Ambient AI system, a Generative AI-based communication and documentation system developed by NAVER, on the efficiency and quality of medical record-keeping within the Emergency Department (ED). By converting patient-clinician dialogues into automated medical summaries, the study aims to reduce the administrative burden on healthcare providers and address the issue of physician burnout caused by excessive documentation. The trial involves approximately 1,148 patients and 20 medical staff members, comparing a control period of conventional documentation against an experimental phase where AI-generated drafts are utilized to assist in clinical recording. Through quantitative analysis of documentation time, patient length of stay, and speech-to-text accuracy, alongside qualitative assessments of usability and satisfaction, the research seeks to determine if this AI intervention can effectively streamline ED workflows and enhance the overall quality of patient care in overcrowded medical environments.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Sequential
- 主要目的
- Other
- 盲法
- None
入排标准
- 年龄范围
- 20 Years 至 —(Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Healthcare providers who have performed triage and initial examinations in the emergency department for at least 6 months
- •Individuals who act as the primary subjects of communication during the triage and initial examination process
- •Individuals who have voluntarily signed the informed consent form after receiving a detailed explanation of the research study
排除标准
- •Individuals who do not agree to participate in the research
- •Individuals who do not participate in the communication during the triage or initial examination process
