在德国FHIR实施中评估护理质量指标的可用性
Steffen Netzband1, Katharina Ott1, Florian Auer1
1IT-Infrastructure for Translational Medical Research, University of Augsburg, Germany.
Studies in health technology and informatics
|June 30, 2023
概括
标准化护理数据集对于德国的研究和质量改善至关重要. 虽然FHIR标准的实施很好地覆盖了患者数据,但关于护理人员经验和工作负载的信息明显缺失.
科学领域:
- 医疗信息学 医疗信息学
- 护理科学 护理科学
- 医疗保健服务研究 医疗服务研究
背景情况:
- 标准化护理数据集增强了德国的护理研究和质量管理.
- 医疗保健互操作性越来越多地采用FHIR (快速医疗互操作性资源) 标准.
- 目前的国家标准化工作的重点是利用FHIR进行数据交换.
研究的目的:
- 确定护理质量研究的共同数据元素.
- 分析这些元素与德国现有的FHIR实施方案的一致性.
- 为了确定护理质量数据的FHIR建模中的差距.
主要方法:
- 分析护理质量数据集和数据库,以确定共同的数据元素.
- 确定数据元素与德国当前FHIR实施情况的比较.
- 评估FHIR资源模型用于护理特定数据表示.
主要成果:
- 大多数以患者为中心的护理数据元素都存在于国家标准化和FHIR实施中.
- 在FHIR对护理人员相关数据的建模中存在重大差距.
- 缺少的关键数据字段包括护理人员的经验,工作量和满意度.
结论:
- 德国目前的FHIR实施方案足够地模拟了护理质量研究的患者数据.
- 迫切需要扩大FHIR资源,包括全面的护理人员相关信息.
- 解决这些差距将提高FHIR对整体护理质量管理和研究的实用性.
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