Primum Non Nocere: Healthcare In The Digital Age

Anjali Joshi
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引用次数: 2

Abstract

Internet search has become the first stop in many users' health journeys. Today, about 1 in 20 Google searches are related to healthcare. These queries span a broad range of information needs as people are looking for possible conditions related to their symptoms and are seeking to understand their diagnoses and prescribed treatments, decipher their test results, find pathways of self-care as well as connect to people with similar experiences. This talk will cover the approaches that we at Google have used to meet these diverse user needs. We will also discuss how we constructed and curated the Health Knowledge Graph, a large scale resource of highly accurate medical knowledge that powers many of our health applications. In the second part of the talk, we will show how the confluence of advances in technology enables us to revolutionize health data collection and perform it at unprecedented scale and granularity. Combined with contextual signals, anonymous aggregated user activity can be used to quantify public health phenomena and provide concerned authorities with actionable information about seasonal or situational health issues. We will conclude the talk with an outline of research directions that could enable people and organizations in personal and public health settings obtain actionable information in a timely manner. The work presented here was the product of collaboration of multiple teams at Google.
最重要的是:数字时代的医疗保健
互联网搜索已成为许多用户健康之旅的第一站。如今,每20亿次搜索中就有1次与医疗保健相关。这些查询跨越了广泛的信息需求,因为人们正在寻找与他们的症状相关的可能条件,并试图了解他们的诊断和处方治疗,破译他们的测试结果,找到自我保健的途径,以及与有类似经历的人联系。本次演讲将涵盖谷歌用来满足这些不同用户需求的方法。我们还将讨论我们如何构建和管理健康知识图谱,这是一个高度精确的医学知识的大规模资源,为我们的许多健康应用程序提供了动力。在演讲的第二部分,我们将展示技术进步的融合如何使我们能够彻底改变健康数据的收集,并以前所未有的规模和粒度进行收集。与上下文信号相结合,匿名聚合用户活动可用于量化公共卫生现象,并向有关当局提供有关季节性或情境卫生问题的可操作信息。最后,我们将概述研究方向,使个人和公共卫生环境中的个人和组织能够及时获得可操作的信息。这里展示的工作是b谷歌多个团队协作的产物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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