实施电子健康记录:如何识别和分析可能的负面影响
Paula Fuscaldo Calderon1, Silvia Sato2, Nelson Wolosker1
1Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.
Einstein (Sao Paulo, Brazil)
|December 11, 2024
概括
这项关于电子医疗记录实施的研究发现,预测和分类负面影响至关重要. 使用的方法有效地识别和分类医院的潜在问题.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健管理的管理
- 信息系统信息系统信息系统
背景情况:
- 在医院实施电子病历 (EMR) 系统存在挑战.
- 潜在的负面影响可能会破坏医疗保健和患者安全.
- 积极识别和分类这些影响对于成功采用EMR至关重要.
研究的目的:
- 确定EMR系统实施的潜在负面影响.
- 根据关键性和严重程度对这些影响进行分类.
- 评估影响识别和分类方法的有效性.
主要方法:
- 在EMR实施过程中系统地识别潜在的负面影响.
- 使用预定义的关键性标准 (高,中,低严重程度) 进行识别影响的分类.
- 在实施后对影响评估方法的有效性进行分析.
主要成果:
- 89.20%的预测负面影响发生了预期.
- 88.94%的确定的影响被根据其严重程度准确地分类.
- 该研究验证了所选方法的预测准确性和分类可靠性.
结论:
- 预测和分类负面影响是成功在医院实施EMR的重要步骤.
- 在大多数情况下,用于影响识别和分类的方法被证明是有效的.
- 有效的影响管理策略可以减轻与EMR采用相关的风险.
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