文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期,新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2025

推动数字健康技术在药物开发生态系统中的整合。

Advancing the Integration of Digital Health Technologies in the Drug Development Ecosystem.

作者信息

Sardar Sakshi, Coon Cheryl D, Kern Scottie, Huynh Huong, Stephenson Diane, Abrams Joshua Rubin, Lee Grace V, Ollivier Cecile, Hedrick Joseph A, Müller Martijn Ltm, Evers Luc J W, Leyens Lada, Hovinga Collin, Ma Shu Chin, Romero Klaus

机构信息

Critical Path Institute, Tucson, AZ, United States.

Critical Path Institute, Amsterdam, The Netherlands.

出版信息

J Med Internet Res. 2025 Jul 31;27:e67052. doi: 10.2196/67052.


DOI:10.2196/67052
PMID:40743522
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12355138/
Abstract

Optimized frameworks for efficient and scalable deployment of digital health technologies (DHT) are needed to address existing bottlenecks and unlock the opportunities for remote monitoring and operationalizing decentralized trials. DHTs offer immense potential opportunities for transformation in drug development by providing remote, high frequency, longitudinal insights into physiological processes, and how participants feel and function. Currently, DHT-based drug development tool-related efforts have yielded valuable insights into effective practices and areas that need improvement. However, the development of the required infrastructure is a resource-intensive task, and its efficiency can be greatly enhanced by systematically identifying the required components and aligning them in ways that will avoid trial-and-error approaches by various stakeholders. In this perspective paper, we aim to highlight these crucial aspects required for supporting the rapid and large-scale deployment of DHTs. We propose the development of various standardized consensus frameworks to clearly lay out processes for various stakeholders and facilitate the seamless integration of the next generation of health care-sensing technologies into drug development.

摘要

需要优化的框架来高效且可扩展地部署数字健康技术(DHT),以解决现有瓶颈,并释放远程监测和开展去中心化试验的机会。DHT通过提供对生理过程以及参与者感受和功能的远程、高频、纵向洞察,为药物开发带来了巨大的变革潜力。目前,基于DHT的药物开发工具相关工作已在有效实践和需要改进的领域取得了宝贵见解。然而,所需基础设施的开发是一项资源密集型任务,通过系统地识别所需组件并以避免各利益相关方采用试错方法的方式进行整合,可大大提高其效率。在这篇观点论文中,我们旨在强调支持DHT快速大规模部署所需的这些关键方面。我们提议开发各种标准化的共识框架,以清晰地规划各利益相关方的流程,并促进下一代医疗传感技术无缝融入药物开发。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c21f/12355138/3645fb5b0b51/jmir_v27i1e67052_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c21f/12355138/dfdf3001e1a2/jmir_v27i1e67052_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c21f/12355138/8d06ce478c4b/jmir_v27i1e67052_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c21f/12355138/3645fb5b0b51/jmir_v27i1e67052_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c21f/12355138/dfdf3001e1a2/jmir_v27i1e67052_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c21f/12355138/8d06ce478c4b/jmir_v27i1e67052_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c21f/12355138/3645fb5b0b51/jmir_v27i1e67052_fig3.jpg

相似文献

[1]
Advancing the Integration of Digital Health Technologies in the Drug Development Ecosystem.

J Med Internet Res. 2025-7-31

[2]
Success Factors of Growth-Stage Digital Health Companies: Systematic Literature Review.

J Med Internet Res. 2024-12-11

[3]
Prescription of Controlled Substances: Benefits and Risks

2025-1

[4]
Empowering Capabilities of People With Chronic Conditions Supported by Digital Health Technologies: Scoping Review.

J Med Internet Res. 2025-6-27

[5]
Methodological Frameworks and Dimensions to Be Considered in Digital Health Technology Assessment: Scoping Review and Thematic Analysis.

J Med Internet Res. 2024-4-10

[6]
Considerations and Approaches to Establishing Estimates of Meaningful Change for Digital Endpoints as Drug Development Tools.

Ther Innov Regul Sci. 2025-5-13

[7]
Mapping methodologies for economic assessment of digital health technologies: a scoping review protocol.

BMJ Open. 2025-8-1

[8]
Advancing health equity and the role of digital health technologies: a scoping review.

BMJ Open. 2025-6-26

[9]
Wood Waste Valorization and Classification Approaches: A systematic review.

Open Res Eur. 2025-5-6

[10]
A digital intervention to improve mental health and interpersonal resilience for young people who have experienced online sexual abuse: the i-Minds non-randomised feasibility clinical trial and nested qualitative study.

Health Soc Care Deliv Res. 2025-7

本文引用的文献

[1]
Accelerating Parkinson's Disease drug development with federated learning approaches.

NPJ Parkinsons Dis. 2024-11-21

[2]
TNF-α inhibitors for type 1 diabetes: exploring the path to a pivotal clinical trial.

Front Immunol. 2024

[3]
Clinical Validation of Digital Healthcare Solutions: State of the Art, Challenges and Opportunities.

Healthcare (Basel). 2024-5-22

[4]
Using a smartwatch and smartphone to assess early Parkinson's disease in the WATCH-PD study over 12 months.

NPJ Parkinsons Dis. 2024-6-12

[5]
Mapping the ethical landscape of digital biomarkers: A scoping review.

PLOS Digit Health. 2024-5-16

[6]
Unlocking the full potential of digital endpoints for decision making: a novel modular evidence concept enabling re-use and advancing collaboration.

Expert Rev Pharmacoecon Outcomes Res. 2024-7

[7]
The long-term clinical impact of digital endpoints and biomarkers in data collection.

Expert Rev Pharmacoecon Outcomes Res. 2024-7

[8]
Why Language Matters in Digital Endpoint Development: Harmonized Terminology as a Key Prerequisite for Evidence Generation.

Digit Biomark. 2024-1-11

[9]
Home-based monitoring of persons with advanced Parkinson's disease using smartwatch-smartphone technology.

Sci Rep. 2024-1-2

[10]
Ethical, legal, and social implications of digital health: A needs assessment from the Society of Behavioral Medicine to inform capacity building for behavioral scientists.

Transl Behav Med. 2024-2-23

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

推荐工具

医学文档翻译智能文献检索