Suppr超能文献

患者作为研究参与者参与电子健康记录的力量。

The Power of Patient Engagement With Electronic Health Records as Research Participants.

作者信息

Pawelek Jeff, Baca-Motes Katie, Pandit Jay A, Berk Benjamin B, Ramos Edward

机构信息

Digital Trials Center, Scripps Research Translational Institute, La Jolla, CA, United States.

CareEvolution, Ann Arbor, MI, United States.

出版信息

JMIR Med Inform. 2022 Jul 8;10(7):e39145. doi: 10.2196/39145.

Abstract

Electronic health record (EHR) technology has become a central digital health tool throughout health care. EHR systems are responsible for a growing number of vital functions for hospitals and providers. More recently, patient-facing EHR tools are allowing patients to interact with their EHR and connect external sources of health data, such as wearable fitness trackers, personal genomics, and outside health services, to it. As patients become more engaged with their EHR, the volume and variety of digital health information will serve an increasingly useful role in health care and health research. Particularly due to the COVID-19 pandemic, the ability for the biomedical research community to pivot to fully remote research, driven largely by EHR data capture and other digital health tools, is an exciting development that can significantly reduce burden on study participants, improve diversity in clinical research, and equip researchers with more robust clinical data. In this viewpoint, we describe how patient engagement with EHR technology is poised to advance the digital clinical trial space, an innovative research model that is uniquely accessible and inclusive for study participants.

摘要

电子健康记录(EHR)技术已成为整个医疗保健领域的核心数字健康工具。EHR系统承担着医院和医疗服务提供者越来越多的重要功能。最近,面向患者的EHR工具使患者能够与自己的EHR进行交互,并将可穿戴健身追踪器、个人基因组学和外部健康服务等外部健康数据来源与之连接。随着患者越来越多地参与到自己的EHR中,数字健康信息的数量和种类将在医疗保健和健康研究中发挥越来越重要的作用。特别是由于新冠疫情,生物医学研究界能够在很大程度上由EHR数据采集和其他数字健康工具推动转向完全远程研究,这是一个令人兴奋的发展,可显著减轻研究参与者的负担,改善临床研究的多样性,并为研究人员提供更丰富的临床数据。在本观点文章中,我们描述了患者对EHR技术的参与如何有望推动数字临床试验领域的发展,这是一种创新的研究模式,对研究参与者具有独特的可及性和包容性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9df/9308075/5c24ba3c64c3/medinform_v10i7e39145_fig1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验