The articles highlighted in this issue focus on data generated, viewed, or interacted with by patients or consumers. Such data are increasingly part of healthcare and research processes. Several papers also address the issue of racial bias or disparities.^1–3 A variety of data sources, informatics processes, and tools are illustrated through the papers including machine learning,^1,4 mapping to an information model,² open notes,³ EHR-enabled dashboard,⁵ and conversational agent.⁴

中文翻译：

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患者和消费者（以及他们生成的数据）：未充分利用的资源

本期重点介绍的文章重点关注患者或消费者生成、查看或交互的数据。此类数据越来越多地成为医疗保健和研究过程的一部分。几篇论文还解决了种族偏见或差异问题。^1-3各种数据源、信息学流程和工具通过论文进行了说明，包括机器学习、^1、4映射到信息模型、^{2 个开放}式笔记、³启用 EHR 的仪表板、⁵和会话代理。⁴