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将个性化技术融入毒理学:毒理学研究中的传感器、智能眼镜及社交媒体应用

Integrating Personalized Technology in Toxicology: Sensors, Smart Glass, and Social Media Applications in Toxicology Research.

作者信息

Carreiro Stephanie, Chai Peter R, Carey Jennifer, Chapman Brittany, Boyer Edward W

机构信息

Division of Medical Toxicology, Department of Emergency Medicine, Brigham and Women's Hospital, 55 Lake Avenue North, Worcester, MA, 01655, USA.

Division of Medical Toxicology, Department of Emergency Medicine, Brigham and Women's Hospital, Boston, MA, USA.

出版信息

J Med Toxicol. 2017 Jun;13(2):166-172. doi: 10.1007/s13181-017-0611-y. Epub 2017 Apr 12.

DOI:10.1007/s13181-017-0611-y
PMID:28405896
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5440324/
Abstract

Rapid proliferation of mobile technologies in social and healthcare spaces create an opportunity for advancement in research and clinical practice. The application of mobile, personalized technology in healthcare, referred to as mHealth, has not yet become routine in toxicology. However, key features of our practice environment, such as frequent need for remote evaluation, unreliable historical data from patients, and sensitive subject matter, make mHealth tools appealing solutions in comparison to traditional methods that collect retrospective or indirect data. This manuscript describes the features, uses, and costs associated with several of common sectors of mHealth research including wearable biosensors, ingestible biosensors, head-mounted devices, and social media applications. The benefits and novel challenges associated with the study and use of these applications are then discussed. Finally, opportunities for further research and integration are explored with a particular focus on toxicology-based applications.

摘要

移动技术在社交和医疗领域的迅速普及为研究和临床实践的进步创造了机会。移动个性化技术在医疗保健中的应用,即移动医疗(mHealth),在毒理学领域尚未成为常规做法。然而,我们的实践环境的关键特征,如频繁需要远程评估、患者历史数据不可靠以及主题敏感,使得移动医疗工具与收集回顾性或间接数据的传统方法相比,成为有吸引力的解决方案。本文描述了移动医疗研究的几个常见领域(包括可穿戴生物传感器、可摄入生物传感器、头戴式设备和社交媒体应用)的特点、用途和成本。然后讨论了与这些应用的研究和使用相关的益处和新挑战。最后,探讨了进一步研究和整合的机会,特别关注基于毒理学的应用。

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Digital Pills to Measure Opioid Ingestion Patterns in Emergency Department Patients With Acute Fracture Pain: A Pilot Study.用于测量急性骨折疼痛急诊科患者阿片类药物摄入模式的数字药丸:一项试点研究。
J Med Internet Res. 2017 Jan 13;19(1):e19. doi: 10.2196/jmir.7050.
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Top Stroke Rehabil. 2017 May;24(4):256-261. doi: 10.1080/10749357.2016.1259030. Epub 2016 Nov 24.
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