Evaluation of an AI-based Informational Assistant for Automated Point-of-care Documentation and Protocol Retrieval in the Intensive Care Unit
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 25
- 主要终点
- Implementation outcomes acceptability, appropriateness, and feasibility
研究概览
简要总结
Clinical rounds in the intensive care unit (ICU) involve substantial manual documentation. Retrieving the correct protocol text and structuring notes at the bedside is time-consuming and may contribute to variation in documentation quality. Modern artificial intelligence (AI) can help structure existing information and automate protocol look-ups within a restricted, manually selected document set.
The tool evaluated in this study acts as an AI-based informational assistant for clinicians. It (1) pre-populates a standardized physical-exam and daily-rounds format, (2) prepares a concise ICU course/overview using predefined formatting, and (3) retrieves relevant passages from protocols to enable rapid consistency checks by the clinician.
The AI-based informational assistant does not provide treatment recommendations or patient-specific advice; all outputs require clinician verification and clinical responsibility remains with the physician.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •ICU physician (nurse practicioner, resident, or staff intensivist) at the Erasmus MC.
- •Signed informed-consent for study participation.
排除标准
- •- Physicians not expected to work on the ICU during the study period will not be approached.
结局指标
主要结局
Implementation outcomes acceptability, appropriateness, and feasibility
时间窗: Before integration of the AI-based informational assistant and 4-, 8-, and 12-weeks after integration.
The mean scores and standard deviations of the 5-point Likert scale (1 = strongly disagree, 2 = disagree, 3 = undecided, 4 = agree, 5 = strongly agree) closed-ended questions of the survey on the physicians' perspectives will be calculated. Standardised questionnaires AIM, IAM and FIM are used.
次要结局
- Perceived time saved when using the AI-based informational assistant during ICU rounds(12-weeks after integration of the AI-based informational assistant .)
- Task-based efficiency, including time to (i) produce a structured rounds note and (ii) retrieve relevant protocol text(Before integration of the AI-based informational assistant and 12-weeks after integration)
- Perceived usefulness, clarity, and trustworthiness(Before integration of the AI-based informational assistant and during the 12-weeks utilization.)
- Adoption and use, including frequency of use, retention over time, and interaction patterns (e.g., number/type of edits, use cases, feature use)(During the 12-weeks utilization of the AI-based informational assistant.)
- Technical output quality(Before integration of the AI-based informational assistant and during the 12-weeks utilization.)
- Trust in the system, perceived workload, and task satisfaction(12-weeks after integration of the AI-based informational assistant.)
研究者
Willemijn Berkhout
MSc
Erasmus Medical Center