健康老龄化:用精准降低成本,提高健康质量。

Advances in geriatric medicine and research Pub Date : 2019-01-01 Epub Date: 2019-06-05 DOI:10.20900/agmr20190003
Rhoda Au, Marina Ritchie, Spencer Hardy, Ting Fang Alvin Ang, Honghuang Lin
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引用次数: 0

摘要

为患者提供个性化治疗的努力在医疗保健方面取得了巨大突破。然而,仅靠精准医学方法无法抵消慢性非传染性疾病流行率和负担的快速增加,这种疾病仍在世界老龄化人口中普遍存在。随着技术的快速进步,现在可以在病程的早期收集数字指标来评估、监测和检测慢性病指标,这可能会重新定义以前被认为无症状到症状前的情况。数据科学和人工智能可以在出现明显的临床症状之前推动数字生物标志物的发现,从而将当前的医疗保健方法从以精确医学为中心转变为更全面地关注精确健康,并通过这样做实现完全预防疾病的可能性。本文介绍了当前医疗模式面临的挑战,以及扭转医疗成本上升和医疗质量下降这一普遍棘手趋势的第一步建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Aging Well: Using Precision to Drive Down Costs and Increase Health Quality.

Efforts to provide patients with individualized treatments have led to tremendous breakthroughs in healthcare. However, a precision medicine approach alone will not offset the rapid increase in prevalence and burden of chronic non-communicable illnesses that is continuing to pervade the world's aging population. With rapid advances in technology, it is now possible to collect digital metrics to assess, monitor and detect chronic disease indicators, much earlier in the disease course, potentially redefining what was previously considered asymptomatic to pre-symptomatic. Data science and artificial intelligence can drive the discovery of digital biomarkers before the emergence of overt clinical symptoms, thereby transforming the current healthcare approach from one centered on precision medicine to a more comprehensive focus on precision health, and by doing so enable the possibility of preventing disease altogether. Presented herein are the challenges to the current healthcare model and the proposition of first steps for reversing the prevailing intractable trend of rising healthcare costs and poorer health quality.

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