Suppr超能文献

数字记录员。

The digital scribe.

作者信息

Coiera Enrico, Kocaballi Baki, Halamka John, Laranjo Liliana

机构信息

1Australian Institute of Health Innovation, Macquarie University, Level 6 75 Talavera Rd, Sydney, NSW 2109 Australia.

2Beth Israel Deaconess Medical Center, Boston, USA.

出版信息

NPJ Digit Med. 2018 Oct 16;1:58. doi: 10.1038/s41746-018-0066-9. eCollection 2018.

Abstract

Current generation electronic health records suffer a number of problems that make them inefficient and associated with poor clinical satisfaction. Digital scribes or intelligent documentation support systems, take advantage of advances in speech recognition, natural language processing and artificial intelligence, to automate the clinical documentation task currently conducted by humans. Whilst in their infancy, digital scribes are likely to evolve through three broad stages. systems task clinicians with creating documentation, but provide tools to make the task simpler and more effective, for example with dictation support, semantic checking and templates. are delegated part of the documentation task, converting the conversations in a clinical encounter into summaries suitable for the electronic record. are delegated full control of documentation and only request human interaction when exceptions are encountered. Intelligent clinical environments permit such augmented clinical encounters to occur in a fully digitised space where the environment becomes the computer. Data from clinical instruments can be automatically transmitted, interpreted using AI and entered directly into the record. Digital scribes raise many issues for clinical practice, including new patient safety risks. Automation bias may see clinicians automatically accept scribe documents without checking. The electronic record also shifts from a human created summary of events to potentially a full audio, video and sensor record of the clinical encounter. Digital scribes promisingly offer a gateway into the clinical workflow for more advanced support for diagnostic, prognostic and therapeutic tasks.

摘要

当前一代的电子健康记录存在许多问题,这些问题导致它们效率低下且临床满意度不佳。数字抄写员或智能文档支持系统利用语音识别、自然语言处理和人工智能方面的进展,来自动化目前由人类执行的临床文档任务。虽然数字抄写员尚处于起步阶段,但它们可能会经历三个大致阶段。第一阶段的系统要求临床医生创建文档,但提供工具使任务更简单、更有效,例如听写支持、语义检查和模板。第二阶段将部分文档任务委托给系统,将临床会诊中的对话转换为适合电子记录的摘要。第三阶段则将文档的完全控制权委托给系统,仅在遇到异常情况时才要求人工干预。智能临床环境允许在完全数字化的空间中进行这种增强型临床会诊,在这个空间中环境本身就成为了计算机。临床仪器的数据可以自动传输,利用人工智能进行解读并直接录入记录。数字抄写员给临床实践带来了许多问题,包括新的患者安全风险。自动化偏差可能导致临床医生未经检查就自动接受抄写员生成的文档。电子记录也从人类创建的事件摘要转变为可能是临床会诊的完整音频、视频和传感器记录。数字抄写员有望为临床工作流程提供一个入口,以便为诊断、预后和治疗任务提供更高级的支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e383/6550194/903e041616da/41746_2018_66_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验