过程挖掘在医疗保健中的应用:一个系统的文献审查
Lerina Aversano1, Martina Iammarino2, Antonella Madau3
1Department of Agricultural Science, Food, Natural Resources and Engineering, University of Foggia, Foggia, Italy.
医疗保健中的过程挖掘通过分析临床数据来优化工作流程并提高护理质量. 本综述探讨了研究主题,算法和数据挑战,以指导未来在这个不断增长的领域的调查.
科学领域:
- 医疗信息学 医疗信息学
- 数据科学数据科学数据科学
- 运营研究 运营研究
背景情况:
- 数字化和丰富的临床数据在医疗保健中推动了过程挖掘.
- 过程挖掘可以提高工作流的优化,降低成本和资产管理.
- 它确定效率低下,规范实践,并支持基于证据的决策,以提高护理质量.
研究的目的:
- 系统地审查过程采矿在医疗保健中的应用的研究格局.
- 为了深入了解如何在医疗保健机构中应用过程挖掘.
- 确定关键的研究主题,算法,数据类型和医疗保健过程挖掘中的挑战.
主要方法:
- 对精选文章进行系统的文献综述.
- 分析着重于过程挖掘算法和使用的数据的研究.
- 根据研究主题,算法使用和数据特征对研究进行分类.
主要成果:
- 在医疗保健过程挖掘中确定了特定的研究主题.
- 在不同的医疗保健应用中评估了各种过程挖掘算法的利用和有效性.
- 突出了所使用的数据类型以及医疗保健过程挖掘的相关挑战.
结论:
- 该研究提供了对医疗保健中过程挖掘现状的全面概述.
- 它为研究人员提供了洞察力,以确定有价值的未来研究方向.
- 在现有的医疗保健过程挖矿应用程序中确定了关键问题和漏洞.
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