使用人工智能平台开放证据,增强初级保健医生的临床决策能力
Ryan T Hurt1, Christopher R Stephenson1, Elizabeth A Gilman1
1Mayo Clinic, Rochester, MN, USA.
Journal of primary care & community health
|April 16, 2025
概括
人工智能工具OpenEvidence (OE) 为初级保健中的慢性疾病提供了明确,相关和基于证据的建议. 虽然它加强了医生的决策,但它对临床决策 (CDM) 的影响在这个回顾性研究中是有限的.
科学领域:
- 医疗保健中的人工智能
- 临床决策支持
- 基于证据的医学基于证据的医学.
背景情况:
- 人工智能 (AI) 平台有可能增强初级保健中的临床决策 (CDM).
- OpenEvidence (OE) 是一个AI工具,旨在从可信来源生成基于证据的医学 (EBM) 建议.
- 在初级保健机构中OE的实际有效性尚未确定.
研究的目的:
- 为了评估OpenEvidence (OE) 人工智能工具的性能.
- 评估OE对五种常见慢性疾病提供EBM建议的能力:高血压,高脂血症,2型糖尿病,抑郁症和肥胖症.
主要方法:
- 五个病例的回顾性分析.
- 医生提出了临床问题;对OE的反应进行了清晰度,相关性,证据支持,对CDM的影响和整体满意度的评估.
- 四位独立的医生在0-4级别上对OE反应进行了评分.
主要成果:
- OE始终提供准确的,基于证据的建议,与医生计划保持一致.
- 在清晰度 (3.55),相关性 (3.75),证据支持 (3.35) 和满意度 (3.60) 方面获得了高平均分.
- 对临床决策 (CDM) 的影响是有限的 (1.95),因为OE主要加强了现有的医生计划.
结论:
- 在管理常见的慢性疾病方面,OpenEvidence (OE) 在清晰度,相关性和证据支持方面表现出很高的评级.
- 该工具对增强初级保健医生的能力充满希望.
- 建议进行进一步的前性试验,以评估OE在复杂案件和多学科环境中的实用性.
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