人工智能 (AI) 在临床决策支持系统和护理交付中的有效性
Khaled Ouanes1, Nesren Farhah2
1Department of Health Informatics, College of Health Sciences, Saudi Electronic University, Dammam, Saudi Arabia. k.ouanes@seu.edu.sa.
Journal of medical systems
|August 12, 2024
概括
人工智能驱动的临床决策支持系统 (CDSS) 在改善患者结果和临床实践方面表现有前途. 这些系统增强了早期疾病检测,优化治疗,减少医疗错误,使患者和临床医生都受益.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 临床决策支持系统 临床决策支持系统
背景情况:
- 临床决策支持系统 (CDSS) 正在随着人工智能 (AI) 的整合而发展.
- 评估人工智能驱动的CDSS对患者结果和临床工作流程的影响至关重要.
研究的目的:
- 评估人工智能驱动的CDSS对患者结果和临床实践的有效性.
- 综合各种临床领域对AI-CDSS影响的证据.
主要方法:
- 在PubMed,MEDLINE和Scopus中进行全面的文献搜索 (2018年1月 - 2023年11月).
- 对26项选定的研究进行选,质量评估和数据提取.
- 专题分析以确定与AI-CDSS有效性相关的关键主题.
主要成果:
- 人工智能CDSS在早期疾病检测和诊断方面表现出有效性.
- 通过针对患者的,基于证据的建议,加强了临床决策.
- 人工智能-CDSS有潜力减少药物错误并改善临床医生的前景.
结论:
- 人工智能驱动的CDSS显著提高了临床决策和诊断准确度.
- 在CDSS中集成AI为优化治疗选择和改善患者治疗结果提供了一条途径.
- 进一步的研究应该探索AI-CDSSs的临床采用和长期影响.
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