建立数据元素和交换标准,以支持长期COVID医疗保健和研究
Gay Dolin1, Himali Saitwal2, Karen Bertodatti3
1Namaste Informatics, Gold Hill, OR 97525, United States.
JAMIA open
|October 30, 2024
概括
这项研究使用HL7 FHIR开发了长期COVID护理计划的标准化数据元素. 这些标准允许更好的数据共享,以改善患者护理和研究长期COVID干预措施.
科学领域:
- 医疗信息学 医疗信息学
- 数字健康标准 数字健康标准
- 慢性疾病管理 慢性疾病管理
背景情况:
- 患有多重慢性疾病 (MCC) 的人需要协调护理计划.
- 长期COVID带来了复杂的健康挑战,需要标准化数据来有效管理.
- 现有的数据系统往往缺乏用于全面的长期COVID护理的互操作性.
研究的目的:
- 在多重慢性病 (MCCs) 电子护理 (e-Care) 计划项目中建立长期COVID护理计划的数据标准.
- 使用HL7快速医疗互操作资源 (FHIR) 标准,识别和建模长期COVID的关键数据元素.
- 为了促进互操作的数据收集和共享长期COVID护理和研究.
主要方法:
- 采用了涉及技术专家小组 (TEP) 的共识驱动方法.
- 确定和定义了长期COVID管理的数据概念.
- HL7 FHIR 配置文件和标准代码系统被用于数据元素的语法和语义表示.
主要成果:
- 长期COVID的关键数据元素被确定并被TEP批准.
- 长期COVID数据元素被映射到HL7美国核心FHIR配置文件.
- 为长COVID概念的语义表示开发了价值集.
结论:
- 使用HL7 FHIR建立了长期的COVID数据标准,以促进可互操作的数据收集.
- 这些标准支持改善医疗服务,以患者为中心的结果研究以及各种研究倡议.
- 协作方法使数据共享成为一种增强的长期COVID护理协调和研究,使用现实数据进行数据共享.
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