患者管理中的数据驱动决策:系统性审查
1Gabelli School of Business, Fordham University, Bronx, New York, 15213, USA. gl73@fordham.edu.
BMC medical informatics and decision making
|July 2, 2025
概括
数据驱动决策 (DDDM) 通过人工智能和决策支持系统来增强患者管理. 虽然存在挑战,但DDDM提供个性化护理,并简化医疗保健决策.
科学领域:
- 医疗保健技术 技术 医疗保健 技术
- 医疗信息学 医疗信息学
- 医疗保健服务研究 医疗服务研究
背景情况:
- 数据驱动决策 (DDDM) 对于医疗保健中的有效患者管理至关重要.
- 了解DDDM在患者护理中的技术和框架至关重要.
研究的目的:
- 综合审查DDM中用于患者管理的技术.
- 建立一个框架,说明DDDM在患者管理中的作用.
主要方法:
- 按照PRISMA-P指南进行系统审查.
- 来自Web of Science,PubMed和Embase的研究的选.
- 在使用DDDM的患者管理研究中应用特定的纳入标准.
主要成果:
- 人工智能和其他方法主导着患者管理中的数据驱动方法.
- 决策支持系统,马尔科夫决策流程和共享决策是关键方法.
- 应用范围包括疾病诊断,治疗,精准医学,患者护理和护理.
结论:
- DDDM提供了显著的优势,包括个性化和简化决策.
- 需要解决数据质量和可解释性等挑战,以实现最佳实施.
- DDDM对于患者管理和更广泛的医疗保健系统改进至关重要.
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