消费者数据是人工智能价值的关键:欢迎来到医疗保健的未来。

Q2 Medicine
James Cummings
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引用次数: 0

摘要

未标记:人类站在生物学理解、疾病治疗和整体健康的新时代的门槛上。不断演变的患者和护理人员(消费者)行为、数据收集的增加、卫生技术和标准的进步、联邦政策以及人工智能(AI)的兴起正在推动人类历史上最重大的变革之一。为了实现变革性的医疗保健见解,人工智能必须能够访问全面的纵向健康记录(lhr),包括临床、基因组、非临床、可穿戴设备和患者生成的数据。尽管电子医疗记录得到了广泛使用,互操作性也得到了广泛开展,但目前的医疗保健组织、电子医疗记录供应商和公共机构都没有动力开发和维护完整的lhr。本文探讨了消费者作为lhr的共同来源和单一托管人的新范式。有了完全一致的意图和充足的时间来致力于优化他们的健康结果,患者和护理人员必须承担单独的责任来管理或委托完整、准确和实时的lhr汇总。在授权消费者作为其健康数据的主要保管人并汇总其完整的健康记录(这是有效应用人工智能的基本要求)方面,仍然存在重大差距。罕见病社区作为参与式医疗的领导者,提供了一个令人信服的模式,展示了如何实现消费者驱动的数据汇总,并强调了改进政策框架和技术工具的必要性。人工智能和lhr的融合有望通过加强临床决策、加速准确诊断、以前所未有的速度显著提高我们理解和治疗疾病的能力来改变医学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Consumer Data is Key to Artificial Intelligence Value: Welcome to the Health Care Future.

Consumer Data is Key to Artificial Intelligence Value: Welcome to the Health Care Future.

Consumer Data is Key to Artificial Intelligence Value: Welcome to the Health Care Future.

Consumer Data is Key to Artificial Intelligence Value: Welcome to the Health Care Future.

Unlabelled: Humanity stands at the threshold of a new era in biological understanding, disease treatment, and overall wellness. The convergence of evolving patient and caregiver (consumer) behaviors, increased data collection, advancements in health technology and standards, federal policies, and the rise of artificial intelligence (AI) is driving one of the most significant transformations in human history. To achieve transformative health care insights, AI must have access to comprehensive longitudinal health records (LHRs) that span clinical, genomic, nonclinical, wearable, and patient-generated data. Despite the extensive use of electronic medical records and widespread interoperability efforts, current health care organizations, electronic medical record vendors, and public agencies are not incentivized to develop and maintain complete LHRs. This paper explores the new paradigm of consumers as the common provenance and singular custodian of LHRs. With fully aligned intentions and ample time to dedicate to optimizing their health outcomes, patients and caregivers must assume the sole responsibility to manage or delegate aggregation of complete, accurate, and real-time LHRs. Significant gaps persist in empowering consumers to act as primary custodians of their health data and to aggregate their complete LHRs, a foundational requirement for the effective application of AI. Rare disease communities, leaders in participatory care, offer a compelling model for demonstrating how consumer-driven data aggregation can be achieved and underscore the need for improved policy frameworks and technological tools. The convergence of AI and LHRs promises to transform medicine by enhancing clinical decision-making, accelerating accurate diagnoses, and dramatically advancing our ability to understand and treat disease at an unprecedented pace.

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来源期刊
Journal of Participatory Medicine
Journal of Participatory Medicine Medicine-Medicine (miscellaneous)
CiteScore
3.20
自引率
0.00%
发文量
8
审稿时长
12 weeks
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