Evaluating Artificial Intelligence-Based Comprehensive Clinical Decision Support for Sepsis and ARDS
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 355
- 试验地点
- 2
- 主要终点
- Accuracy of Predicting the Source of Treatment Recommendation
研究概览
简要总结
Sepsis and acute respiratory distress syndrome (ARDS) are common in intensive care units. Managing sepsis and ARDS is inherently complex and requires making numerous decisions under uncertainty. Artificial intelligence (AI) clinical decision support systems (CDSSs) offer a promising approach to support care management for sepsis and ARDS.
The goal of this randomized, survey-based study is to compare treatment recommendations enacted by clinicians to those generated by an AI CDSS. The study will investigate whether an AI CDSS can generate treatment recommendations that are safe, appropriate, and indistinguishable to those provided by real clinicians.
In this study, participants (i.e., critical care clinicians) will review a series of critical care cases (vignettes) in an electronic survey. Each vignette will contain a de-identified case of a patient with sepsis and ARDS as well as treatment recommendations for the case. Participants will assess the safety and appropriateness of each treatment recommendations and answer whether they think the treatment recommendations came from the clinician or an AI CDSS.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Health Services Research
- 盲法
- Single (Participant)
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Working as a physician (i.e., MD, DO) or an advanced practice provider (i.e., nurse practitioner, physician assistant)
- •Working at a hospital or medical center in medical critical care, anesthesia critical care, surgical critical care, or emergency medicine
排除标准
- •Has not completed a residency training program (i.e., medical intern or resident)
研究组 & 干预措施
Artificial Intelligence
Critical care cases / vignettes in this arm will contain treatment recommendations generated by an artificial intelligence-based clinical decision support system. Each participant will review four vignettes from this arm.
干预措施: Artifical Intelligence-Generated Treatment Recommendations (Other)
Human Clinician
Critical care cases / vignettes in this arm will contain treatment recommendations that were enacted by the clinician in the actual case. Each participant will review four vignettes from this arm.
结局指标
主要结局
Accuracy of Predicting the Source of Treatment Recommendation
时间窗: From enrollment to the end of the survey, an average of 45 minutes
Participants will answer if they think the treatment recommendations came from artificial intelligence (AI) or a clinician for each clinical vignette. Accuracy will be measured by participants correctly identifying the source of treatment recommendation.
次要结局
- Confidence of Predicting the Source of Treatment Recommendation(From enrollment to the end of the survey, an average of 45 minutes)
- Appropriateness of Treatment Recommendations(From enrollment to the end of the survey, an average of 45 minutes)
- Safety of Treatment Recommendations(From enrollment to the end of the survey, an average of 45 minutes)