Background

Of the Sustainable Development Goals (SDGs), the third presents the opportunity for a predictive universal digital healthcare ecosystem, capable of informing early warning, assisting in risk reduction and guiding management of national and global health risks. However, in reality, the existing technology infrastructure of digital healthcare systems is insufficient, failing to satisfy current and future data needs.

Objective

This paper systematically reviews emerging information technologies for data modelling and analytics that have potential to achieve Data-Centric Health-Care (DCHC) for the envisioned objective of sustainable healthcare. The goal of this review is to: 1) identify emerging information technologies with potential for data modelling and analytics, and 2) explore recent research of these technologies in DCHC.

Findings

A total of 1619 relevant papers have been identified and analysed in this review. Of these, 69 were probed deeply. Our analysis found that the extant research focused on elder care, rehabilitation, chronic diseases, and healthcare service delivery. Use-cases of the emerging information technologies included providing assistance, monitoring, self-care and self-management, diagnosis, risk prediction, well-being awareness, personalized healthcare, and qualitative and/or quantitative service enhancement. Limitations identified in the studies included vendor hardware specificity, issues with user interface and usability, inadequate features, interoperability, scalability, and compatibility, unjustifiable costs and insufficient evaluation in terms of validation.

Conclusion

Achievement of a predictive universal digital healthcare ecosystem in the current context is a challenge. State-of-the-art technologies demand user centric design, data privacy and protection measures, transparency, interoperability, scalability, and compatibility to achieve the SDG objective of sustainable healthcare by 2030.

中文翻译：

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对以信息为中心的可持续医疗保健的新兴信息技术的系统评价

背景

在可持续发展目标（SDG）中，第三个代表了建立预测性的通用数字医疗生态系统的机会，该生态系统能够提供预警，协助降低风险并指导国家和全球健康风险的管理。然而，实际上，数字医疗系统的现有技术基础设施不足，无法满足当前和未来的数据需求。

客观的

本文系统地回顾了用于数据建模和分析的新兴信息技术，这些技术有可能实现以数据为中心的医疗保健（DCHC），以实现可持续医疗保健的预期目标。这次审查的目的是：1）确定具有数据建模和分析潜力的新兴信息技术，以及2）探索DCHC中这些技术的最新研究。

发现

本次综述共鉴定和分析了1619篇相关论文。其中，有69个被深入探查。我们的分析发现，现有的研究集中在老年护理，康复，慢性疾病和医疗服务提供上。新兴信息技术的用例包括提供帮助，监视，自我护理和自我管理，诊断，风险预测，健康意识，个性化医疗保健以及定性和/或定量服务增强。研究中确定的局限性包括供应商硬件的特殊性，用户界面和可用性的问题，功能不足，互操作性，可伸缩性和兼容性，成本不合理以及验证方面的评估不足。

结论

在当前背景下实现可预测的通用数字医疗生态系统是一项挑战。最新技术要求以用户为中心的设计，数据隐私和保护措施，透明性，互操作性，可扩展性和兼容性，以实现到2030年可持续医疗保健的SDG目标。