卫生信息系统的分类学
Anna Janssen1, Candice Donnelly1, Tim Shaw1
1Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.
Journal of medical Internet research
|May 31, 2024
概括
数字健康依赖于各种信息技术 (IT) 来收集数据. 本研究提供了医疗保健中使用的IT系统的分类,以帮助专业人员有效地理解和利用电子健康数据.
科学领域:
- 数字健康数字健康
- 医疗信息学 医疗信息学
- 信息技术在医疗保健中的应用
背景情况:
- 医疗保健行业日益数字化,产生大量的电子健康数据.
- 广泛的信息和通信技术 (ICT) 收集这些数据,从医疗保健系统到消费者设备.
- 许多数字卫生专业人员缺乏信息学专业知识,在理解和对这些数据采取行动方面面临挑战.
研究的目的:
- 提出一个分类系统,对收集电子健康数据的常见ICT系统进行分类.
- 帮助数字卫生专业人员了解数据收集技术的前景.
- 澄清各种IT系统如何为电子健康数据生态系统做出贡献.
主要方法:
- 通过快速文献审查,对关键信息系统进行了初步分类.
- 随后,对学术和灰色文学进行了有目的的搜索.
- 提取的信息被用来定义系统,概述它们的优点和局限性.
主要成果:
- 开发了用于电子健康数据收集的常见ICT系统的分类法.
- 为每个系统类别生成定义.
- 描述了各种信息系统的优势和局限性.
结论:
- 在数字健康中对ICT的结构化理解对于有效的数据利用至关重要.
- 开发的分类学可以作为数字卫生工作人员的宝贵资源.
- 进一步了解这些系统可以改善数据管理和医疗保健中的应用.
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