Human Factor Health Data Interoperability.

Ewan Affleck, Eric Sutherland, Cliff Lindeman, Richard Golonka, Teri Price, Tim Murphy, Tyler Williamson, Ann Chapman, Anita Layton, Cassie Fraser
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Abstract

Comprehensive health data interoperability is recognized as an essential element of high-functioning and accountable health service. Canada is lagging in health data interoperability compared to international comparators, and lacks a comprehensive approach to human factor interoperability, defined as system-level relationships that impact the capacity of health sector stakeholders to adopt harmonized health data standards and technology. Without addressing these system-level relationships, the adoption of harmonized health data standards and technology will be obstructed and Canadians will be underserved. The proposed health data interoperability framework articulates the factors that Canada needs to address to optimize health data design to support quality health programs and services.

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人为因素健康数据互操作性。
全面的卫生数据互操作性被认为是高功能和负责任的卫生服务的基本要素。与国际比较国相比,加拿大在健康数据互操作性方面处于落后地位,并且缺乏一种全面的方法来解决人为因素的互操作性问题,这种互操作性被定义为影响卫生部门利益相关者采用统一健康数据标准和技术的能力的系统级关系。如果不解决这些系统层面的关系,采用统一的健康数据标准和技术将受到阻碍,加拿大人将得不到充分的服务。拟议的健康数据互操作性框架阐明了加拿大为优化健康数据设计以支持优质健康计划和服务而需要解决的各种因素。
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