数据旅程地图:用于共同创建医疗保健人工智能人工智能数据需求的过程
Curtis Charles1, Cherie Tulloch2, Maurice McNaughton3
1Five Islands Campus University of the West Indies Antigua and Barbuda Five Islands Campus, University of the West Indies, Antigua and Barbuda.
概括
加勒比海国家面临着有限的卫生资源不断增加的非传染性疾病. 数据旅程地图方法可以改善健康数据收集,支持医疗保健中的人工智能.
科学领域:
- 医疗信息学 医疗信息学
- 公共卫生 公共卫生
- 数字健康数字健康
背景情况:
- 加勒比海小岛屿发展中国家面临着有限的医疗保健资源和日益增长的非传染性疾病负担.
- 人口老龄化加剧了该地区非传染性疾病的挑战.
- 数据专业人员的不足阻碍了加勒比国家对数据生产的立法支持.
研究的目的:
- 引入数据旅程地图作为加勒比地区加强健康数据收集的战略.
- 探索数据旅程映射在提高医疗保健效率和支持人工智能 (AI) 实施方面的潜力.
- 讨论将数据旅程映射应用于医疗保健的好处和挑战.
主要方法:
- 该研究引入了数据旅程图的概念,将其定义为组织健康数据收集的过程.
- 它强调将数据收集集成到患者旅程和提供者互动中.
- 以使用宫癌预防和治疗的例子来说明这一方法.
主要成果:
- 数据旅程映射可以在患者护理途径中确定关键的"数据热点".
- 这些热点对于规划和实施人工智能驱动的医疗保健解决方案至关重要.
- 该方法旨在通过将数据收集纳入日常医疗保健来克服区域数据收集的挑战.
结论:
- 数据旅程地图提供了一种结构化的方法,以改善资源有限的环境中的健康数据收集.
- 这种方法可以促进在加勒比医疗保健中采用人工智能和数字技术.
- 通过创新方法解决数据短缺问题,如旅程映射,对于推进区域健康成果至关重要.
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