将大模型嵌入放疗临床流程，自动生成病患摘要与临床试验推荐。
The Daily Dose: Workflow-Integrated Large Language Model Automation for Clinical Summarization and Trial Identification in Radiation Oncology
- 用专有大模型生成放疗患者每日摘要与匹配的临床试验。
- 94.5%医生每周使用多次，超四分之一每天省下至少10分钟。
- 系统易用性强，满意度高，适合忙碌的临床团队长期使用。
目的：描述《每日一剂》（TDD）这一基于大语言模型的自动化临床摘要与临床试验识别系统的设计及其在放疗科实践中的初步评估。设计：采用混合方法，通过部署一个月后匿名发放的横断面医生问卷进行评价。暴露：每日通过电子邮件向医生推送基于RadOnc-GPT生成的个性化摘要，包含患者治疗安排、来自电子病历的临床状态简报，以及新诊或会诊时可能相关的临床试验推荐。主要结果：55名受访者中，52人（94.5%）从事放疗工作，38人（69.1%）为主治医师。83.6%的参与者报告每天或每周多次使用。平均评分（标准差）为：可用性与满意度3.89（1.04），感知有用性3.43（1.24），影响与未来使用意愿3.80（1.17）（5级量表）。总体满意度与感知时间节省显著相关（p < .001）。27%的参与者估计每日节省时间≥10分钟。问卷内部一致性良好（总体Cronbach's α = 0.97）。
原文摘要 · Abstract (English)
Objective: To describe the design and early clinical evaluation of The Daily Dose (TDD), an LLM-driven, automated clinical summarization and clinical-trial identification system integrated into routine radiation oncology practice. Design: Mixed-methods evaluation using a cross-sectional, anonymous clinician survey administered after 1 month of system deployment. Exposure: Daily automated delivery of physician-specific email summaries generated using RadOnc-GPT, including patient schedules, concise EHR-derived clinical-status summaries, and automated identification of potentially relevant clinical trials for new or consult visits. Main Outcomes and Measures: Primary outcomes included self-reported usability, satisfaction, perceived usefulness, perceived impact on workflow, time savings, and intention for continued use. Internal consistency reliability was assessed using Cronbach's $α$. Results: Among 55 respondents, 52 (94.5\%) worked in radiation oncology, and 38 (69.1\%) were attending physicians. Most participants (83.6\%) reported using TDD daily or several times per week. Mean (SD) scores were 3.89 (1.04) for usability and satisfaction, 3.43 (1.24) for perceived usefulness, and 3.80 (1.17) for impact and future use (5-point Likert scale). Overall satisfaction was positively associated with perceived time savings ($p < .001$). Participants reported variable time savings, with 27\% estimating $\geq 10$ minutes saved per day. The questionnaire demonstrated excellent internal consistency (overall Cronbach's $α$ = 0.97).
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