Structuring and Visualizing Healthcare Claims Data Using Systems Architecture Methodology.

Inas S Khayal, Weiping Zhou, Jonathan Skinner
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Abstract

Healthcare delivery systems around the world are in crisis. The need to improve health outcomes while decreasing healthcare costs have led to an imminent call to action to transform the healthcare delivery system. While Bioinformatics and Biomedical Engineering have primarily focused on biological level data and biomedical technology, there is clear evidence of the importance of the delivery of care on patient outcomes. Classic singular decomposition approaches from reductionist science are not capable of explaining complex systems. Approaches and methods from systems science and systems engineering are utilized to structure healthcare delivery system data. Specifically, systems architecture is used to develop a multi-scale and multi-dimensional characterization of the healthcare delivery system, defined here as the Healthcare Delivery System Knowledge Base. This paper is the first to contribute a new method of structuring and visualizing a multi-dimensional and multi-scale healthcare delivery system using systems architecture in order to better understand healthcare delivery.

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Abstract Image

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使用系统架构方法构建和可视化医疗保健索赔数据。
世界各地的医疗保健提供系统正处于危机之中。由于需要改善健康结果,同时降低医疗成本,因此迫切需要采取行动,改革医疗服务体系。虽然生物信息学和生物医学工程主要关注生物水平的数据和生物医学技术,但有明确的证据表明,提供护理对患者预后的重要性。来自还原论科学的经典奇异分解方法不能解释复杂系统。从系统科学和系统工程的方法和方法被用来构建医疗保健提供系统的数据。具体来说,系统架构用于开发医疗保健提供系统的多尺度和多维特征,这里定义为医疗保健提供系统知识库。本文首次提出了一种利用系统架构构建和可视化多维、多尺度医疗保健服务系统的新方法,以便更好地理解医疗保健服务。
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