Purpose of Review

The past few decades have seen significant technologic innovation for the treatment and diagnosis of cardiovascular diseases. The subsequent growing complexity of modern medicine, however, is causing fundamental challenges in our healthcare system primarily in the spheres of patient involvement, data generation, and timely clinical implementation. The Institute of Medicine advocated for a learning health system (LHS) in which knowledge generation and patient care are inherently symbiotic. The purpose of this paper is to review how the advances in technology and big data have been used to further patient care and data generation and what future steps will need to occur to develop a LHS in cardiovascular disease.

Recent Findings

Patient-centered care has progressed from technologic advances yielding resources like decision aids. LHS can also incorporate patient preferences by increasing and standardizing patient-reported information collection. Additionally, data generation can be optimized using big data analytics by developing large interoperable datasets from multiple sources to allow for real-time data feedback.

Summary

Developing a LHS will require innovative technologic solutions with a patient-centered lens to facilitate symbiosis in data generation and clinical practice.

中文翻译：

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加强心血管疾病预防的学习健康系统：是时候利用大数据和数字解决方案了

审查目的

在过去的几十年里，心血管疾病的治疗和诊断发生了重大的技术创新。然而，随之而来的现代医学日益复杂，主要在患者参与、数据生成和及时临床实施等领域给我们的医疗保健系统带来了根本性挑战。医学研究所提倡学习型健康系统 (LHS)，其中知识生成和患者护理本质上是共生的。本文的目的是回顾技术和大数据的进步如何被用于进一步的患者护理和数据生成，以及未来需要采取哪些步骤来开发心血管疾病的 LHS。

最近的发现

以患者为中心的护理已经从产生决策辅助等资源的技术进步发展而来。LHS 还可以通过增加和标准化患者报告的信息收集来纳入患者的偏好。此外，可以使用大数据分析优化数据生成，方法是开发来自多个来源的大型可互操作数据集，以实现实时数据反馈。

概括

开发 LHS 将需要具有以患者为中心的镜头的创新技术解决方案，以促进数据生成和临床实践的共生。