Pillay Preenan, Ijoma Grace Nkechinyere, Ntwasa Monde, Moodley Jack
College of Agricultural and Environmental Sciences, University of South Africa, Roodepoort, Gauteng, South Africa.
Insight, Waterfall City, Gauteng, South Africa.
J Healthc Leadersh. 2025 Jul 14;17:315-326. doi: 10.2147/JHL.S437070. eCollection 2025.
The World Health Organization (WHO) recognizes the importance of Integrated Health Systems (IHS) in translating health information and its determinants into tangible outcomes. However, effective implementation of an IHS has not been realized due to the lack of a structured Health Information System (HIS) for centralized data analytics and accessibility. This is further exacerbated in developing nations because of the complex interplay between limited resources, inadequate infrastructure, and high disease burden. Therefore, the perspectives presented provide an enhanced engine in the form of a structured HIS to propel the IHS, such that the health system is driven by efficient health data management and analytics. The transformational IHS presented considers resource limitations within the context of the factors influencing political, structural, and economic reforms. This provides an adaptive and progressive approach to address multifaceted health challenges in developing nations. Importantly, the IHS framework presented provides a health system paradigm shift that integrates health practices and their determinants within an artificially intelligent-enabled data-driven architecture to achieve structured and seamless universal health coverage.
世界卫生组织（WHO）认识到综合卫生系统（IHS）在将卫生信息及其决定因素转化为切实成果方面的重要性。然而，由于缺乏用于集中数据分析和获取的结构化卫生信息系统（HIS），IHS的有效实施尚未实现。在发展中国家，由于资源有限、基础设施不足和疾病负担沉重之间的复杂相互作用，这一情况进一步恶化。因此，所提出的观点以结构化HIS的形式提供了一个增强引擎，以推动IHS，使卫生系统由高效的卫生数据管理和分析驱动。所提出的变革性IHS在影响政治、结构和经济改革的因素背景下考虑了资源限制。这为应对发展中国家多方面的卫生挑战提供了一种适应性和渐进性的方法。重要的是，所提出的IHS框架提供了一种卫生系统范式转变，即将卫生实践及其决定因素整合到一个人工智能驱动的数据驱动架构中，以实现结构化和无缝的全民健康覆盖。
