在初级保健中基于人工智能的临床决策支持系统:对当前临床实施的范围审查
Cesar A Gomez-Cabello1, Sahar Borna1, Sophia Pressman1
1Division of Plastic Surgery, Mayo Clinic, Jacksonville, FL 32224, USA.
概括
基于人工智能的临床决策支持系统 (AI-CDSSs) 在初级医疗保健中显示出有前途的改善患者护理和减少医生工作量. 然而,医生的看法和文化因素目前限制了它们在现实世界的临床环境中的有效性.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 初级保健研究研究初级保健研究
背景情况:
- 初级保健医生 (PCP) 管理各种患者,需要不断更新知识和准确的健康记录.
- 实施先进的工具对于提高初级医疗保健的效率和患者结果至关重要.
- 基于人工智能的临床决策支持系统 (AI-CDSS) 为这些挑战提供了潜在的解决方案.
研究的目的:
- 系统地审查在初级医疗保健 (PHC) 设置中实施的AI-CDSS的结果和有效性.
- 确定AI-CDSS在临床管理和医生工作量上的应用和影响.
- 评估影响AI-CDSS在初级保健中的采用和成功的障碍和促进因素.
主要方法:
- 在五个数据库 (PubMed,Scopus,CINAHL,IEEE,Google Scholar) 和手动搜索中按照PRISMA-ScR指南进行系统的文献搜索.
- 纳入标准侧重于人工智能驱动的CDSS,用于实际临床PHC环境中的医生.
- 分析了来自美国,荷兰,西班牙和中国的六项选定研究的数据.
主要成果:
- 人工智能CDSS被用于诊断支持,治疗建议和并发症预测.
- 其次要目标包括减少医生工作量和医疗保健成本.
- 研究结果受到AI-CDSS的积极影响,但受到医生的看法和文化背景的调和.
结论:
- 人工智能-CDSS具有显著的潜力,可以提高临床管理,患者安全和对初级保健的满意度.
- 减少医生工作量是AI-CDSS实施的一个关键好处.
- 需要进行进一步的研究,以探索AI-CDSS应用的全部范围,并严格测量各种PHC环境中的临床结果.
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