比较人工智能与临床医生撰写的模拟初级保健电子病历摘要
Lara Shemtob1, Abdullah Nouri2, Adam Harvey-Sullivan3
1Department of Primary Care and Public Health, Imperial College London, London W12 0BZ, United Kingdom.
人工智能 (AI) 可以从电子健康记录 (EHR) 中生成临床摘要,准确度与人类临床医生相似. 虽然临床医生撰写的摘要被评为略高,但AI摘要显示了提高医疗保健生产力和患者护理的潜力.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 临床文档 临床文档
背景情况:
- 电子健康记录 (EHR) 的临床摘要对于有效的患者护理至关重要.
- 临床医生手动总结是耗时的,影响生产力.
- 人工智能 (AI) 的整合为自动化文档任务提供了潜在的解决方案.
研究的目的:
- 将GPT-4 (人工智能模型) 产生的临床摘要质量与人类临床医生制作的临床摘要进行比较.
- 在多个领域评估人工智能生成的摘要,包括实用性,简洁性,准确性和偏见.
- 评估AI总结工具在初级保健环境中的可行性和潜在影响.
主要方法:
- 七名初级保健医生创建了70个模拟患者的电子病历笔记.
- 每个EHR笔记都由单独的临床医生和GPT-4总结.
- 临床医生在八个质量领域和整体上盲目评价了AI和临床医生撰写的摘要.
主要成果:
- 临床医生撰写的摘要获得了略高的整体评分 (7.39 vs 7.00/10),但显示出更大的变化.
- 人工智能撰写的摘要表现出与临床医生撰写的摘要可比的准确性.
- 人工智能摘要不太可能遗漏信息,更可能使用患者友好的语言.
结论:
- 人工智能撰写的摘要显示了将其整合到电子健康记录中的希望,比临床医生生成的摘要提供了类似的准确性和更大的一致性.
- 在初级保健中使用AI总结工具有可能提高医疗保健的生产力.
- 通过减少文档的时间,人工智能工具可以使临床医生能够花更多的时间来直接照顾病人.
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