背景:数字化将改善医疗保健数据的二次使用。沙特阿拉伯王国政府下令编制国家卫生数据分析总计划,爱沙尼亚政府下令编制“以人为本的综合医院总体规划”项目。
目的:这项研究旨在绘制这两个不同的项目的问题,方法,和结果来找到匹配的元素,以便在类似情况下重用。
方法:我们通过探索性案例研究评估了两种医疗保健系统二次使用健康数据的能力,并通过半结构化访谈和文献审查进行目的抽样和数据收集。根据预定义的框架对收集的内容进行定性分析和编码。分析框架包括数据目的,流量,和分享。爱沙尼亚项目使用了Mitre公司的健康信息共享成熟度模型作为额外的分析框架。沙特阿拉伯王国的数据收集和分析于2019年进行,涵盖了医疗保健设施,公共卫生机构,和医疗保健政策。爱沙尼亚的项目在2020年收集了投入,涵盖了医疗保健设施,患者参与,公共卫生机构,医疗保健融资,卫生保健政策,和健康技术创新。
结果:在这两种情况下,评估产生了一系列关于卫生保健数据治理的建议.在沙特阿拉伯王国,医疗保健系统由多个孤立的部门组成,需要一个协调数据集的总体机构,指标,和国家一级的报告。《国家卫生数据分析总体规划》提出了一套适当管理的组织协议。尽管爱沙尼亚的国家数字健康平台,各种数据消费者之间的要求仍然不协调。我们建议重新配置国家健康数据的管理,将多用途数据使用纳入互操作性标准化的范围。
结论:正确的数据治理是改善国家层面卫生数据二次使用的关键。从数据提供者到数据消费者的数据流应由总体管理结构进行协调,并由可互操作的数据保管者提供支持。
BACKGROUND: Digitization shall improve the secondary use of health care data. The Government of the Kingdom of Saudi Arabia ordered a project to compile the National Master Plan for Health Data Analytics, while the Government of
Estonia ordered a project to compile the Person-Centered Integrated Hospital Master Plan.
OBJECTIVE: This study aims to map these 2 distinct projects\' problems, approaches, and outcomes to find the matching elements for reuse in similar cases.
METHODS: We assessed both health care systems\' abilities for secondary use of health data by exploratory case studies with purposive sampling and data collection via semistructured interviews and documentation review. The collected content was analyzed qualitatively and coded according to a predefined framework. The analytical framework consisted of data purpose, flow, and sharing. The Estonian project used the Health Information Sharing Maturity Model from the Mitre Corporation as an additional analytical framework. The data collection and analysis in the Kingdom of Saudi Arabia took place in 2019 and covered health care facilities, public health institutions, and health care policy. The project in
Estonia collected its inputs in 2020 and covered health care facilities, patient engagement, public health institutions, health care financing, health care policy, and health technology innovations.
RESULTS: In both cases, the assessments resulted in a set of recommendations focusing on the governance of health care data. In the Kingdom of Saudi Arabia, the health care system consists of multiple isolated sectors, and there is a need for an overarching body coordinating data sets, indicators, and reports at the national level. The National Master Plan of Health Data Analytics proposed a set of organizational agreements for proper stewardship. Despite
Estonia\'s national Digital Health Platform, the requirements remain uncoordinated between various data consumers. We recommended reconfiguring the stewardship of the national health data to include multipurpose data use into the scope of interoperability standardization.
CONCLUSIONS: Proper data governance is the key to improving the secondary use of health data at the national level. The data flows from data providers to data consumers shall be coordinated by overarching stewardship structures and supported by interoperable data custodians.