• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
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
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
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 @ 2026

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

移动健康:迈向研究与临床应用的跨越

Mobile Health: making the leap to research and clinics.

作者信息

Ku Joy P, Sim Ida

机构信息

Department of Bioengineering, Stanford University, Stanford, CA, USA.

Division of General Internal Medicine, University of California San Francisco, San Francisco, CA, USA.

出版信息

NPJ Digit Med. 2021 May 14;4(1):83. doi: 10.1038/s41746-021-00454-z.

DOI:10.1038/s41746-021-00454-z
PMID:33990671
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8121913/
Abstract

Health applications for mobile and wearable devices continue to experience tremendous growth both in the commercial and research sectors, but their impact on healthcare has yet to be fully realized. This commentary introduces three articles in a special issue that provides guidance on how to successfully address translational barriers to bringing mobile health technologies into clinical research and care. We also discuss how the cross-organizational sharing of data, software, and other digital resources can lower such barriers and accelerate progress across mobile health.

摘要

移动和可穿戴设备的健康应用在商业和研究领域都持续经历着巨大的增长,但它们对医疗保健的影响尚未得到充分实现。本评论介绍了一期特刊中的三篇文章,这些文章为如何成功克服将移动健康技术引入临床研究和护理的转化障碍提供了指导。我们还讨论了数据、软件和其他数字资源的跨组织共享如何能够降低此类障碍并加速移动健康领域的进展。

相似文献

1
Mobile Health: making the leap to research and clinics.移动健康:迈向研究与临床应用的跨越
NPJ Digit Med. 2021 May 14;4(1):83. doi: 10.1038/s41746-021-00454-z.
2
Primary health care in Botswana: a study in cost-effectiveness.博茨瓦纳的初级卫生保健:一项成本效益研究。
Proc R Soc Med. 1976 Dec;69(12):936-9. doi: 10.1177/003591577606901220.
3
Use of a cost accounting system to evaluate costs of a VA special program.使用成本核算系统评估退伍军人事务部特殊项目的成本。
Med Care. 1999 Apr;37(4 Suppl Va):AS45-53. doi: 10.1097/00005650-199904002-00007.
4
Mobile health clinics in the United States.美国的移动医疗诊所。
Int J Equity Health. 2020 Mar 20;19(1):40. doi: 10.1186/s12939-020-1135-7.
5
Mobile health clinic model in the COVID-19 pandemic: lessons learned and opportunities for policy changes and innovation.移动医疗诊所模式在 COVID-19 大流行中的应用:经验教训与政策变革和创新的机会。
Int J Equity Health. 2020 May 19;19(1):73. doi: 10.1186/s12939-020-01175-7.
6
Cost and output of mobile clinics in a commercial farming area in Zimbabwe.津巴布韦一个商业化农业区流动诊所的成本与产出
Soc Sci Med. 1990;31(11):1207-11. doi: 10.1016/0277-9536(90)90125-c.
7
The role of information, education, and communication in family planning service delivery in Tunisia.信息、教育与沟通在突尼斯计划生育服务提供中的作用。
Stud Fam Plann. 1987 Jul-Aug;18(4):229-34.
8
Cost-Effectiveness Analysis of Family Planning Services Offered by Mobile Clinics versus Static Clinics in Assiut, Egypt.埃及阿斯尤特流动诊所与固定诊所提供计划生育服务的成本效益分析。
Afr J Reprod Health. 2017 Mar;21(1):30-38. doi: 10.29063/ajrh2017/v21i1.2.
9
An assessment of HIV treatment outcomes among utilizers of semi-mobile clinics in rural Kenya.肯尼亚农村地区半流动诊所使用者的艾滋病毒治疗效果评估。
AIDS Care. 2015;27(5):665-8. doi: 10.1080/09540121.2014.986053. Epub 2014 Dec 12.
10
Do mobile family planning clinics facilitate vasectomy use in Nepal?流动计划生育诊所是否促进了尼泊尔输精管切除术的使用?
Contraception. 2014 Jun;89(6):557-63. doi: 10.1016/j.contraception.2014.01.019. Epub 2014 Feb 1.

引用本文的文献

1
Smart Healthcare: The Role of Digital Health in Modern Medicine.智能医疗保健:数字健康在现代医学中的作用。
Health Care Sci. 2025 Jun 1;4(3):179-187. doi: 10.1002/hcs2.70019. eCollection 2025 Jun.
2
Smartphone conjunctiva photography for malaria risk stratification in asymptomatic school age children.用于无症状学龄儿童疟疾风险分层的智能手机结膜摄影术。
NPJ Digit Med. 2025 Mar 10;8(1):151. doi: 10.1038/s41746-025-01548-8.
3
Evolutionary Trends in the Adoption, Adaptation, and Abandonment of Mobile Health Technologies: Viewpoint Based on 25 Years of Research.移动医疗技术的采用、适应和摒弃的演变趋势:基于 25 年研究的观点。
J Med Internet Res. 2024 Sep 27;26:e62790. doi: 10.2196/62790.
4
Personalized Data Science and Personalized (N-of-1) Trials: Promising Paradigms for Individualized Health Care.个性化数据科学与个性化(单病例)试验:个性化医疗的前景范式。
Harv Data Sci Rev. 2022;4(SI3). doi: 10.1162/99608f92.8439a336. Epub 2022 Sep 8.
5
Linking coastal environmental and health observations for human wellbeing.将沿海环境和健康观测联系起来,以增进人类福祉。
Front Public Health. 2023 Sep 14;11:1202118. doi: 10.3389/fpubh.2023.1202118. eCollection 2023.
6
Use of Digital Healthcare Communication to Improve Urologists' Surveillance of Lithiasis Patients Treated with Internal Urinary Drainage Pre- and Post-COVID-19 Period.使用数字医疗通信改善泌尿外科医生对 COVID-19 疫情前后接受内引流治疗的结石病患者的监测
Healthcare (Basel). 2023 Jun 16;11(12):1776. doi: 10.3390/healthcare11121776.
7
A Digital Infrastructure for Cardiovascular Patient Care Based on Mobile Health Data and Patient-Reported Outcomes: Concept Details of the Helios TeleWear Project Including Preliminary Experiences.基于移动健康数据和患者报告结局的心血管患者护理数字基础设施:赫利俄斯远程穿戴项目的概念细节及初步经验
JMIR Form Res. 2023 Mar 3;7:e41115. doi: 10.2196/41115.
8
Leveraging Mobile Technology for Public Health Promotion: A Multidisciplinary Perspective.利用移动技术促进公共卫生:多学科视角。
Annu Rev Public Health. 2023 Apr 3;44:131-150. doi: 10.1146/annurev-publhealth-060220-041643. Epub 2022 Dec 21.
9
Smartphone App in Stroke Management: A Narrative Updated Review.智能手机应用在卒中管理中的应用:一篇叙述性更新综述
J Stroke. 2022 Sep;24(3):323-334. doi: 10.5853/jos.2022.01410. Epub 2022 Sep 30.
10
Engagement With mHealth COVID-19 Digital Biomarker Measurements in a Longitudinal Cohort Study: Mixed Methods Evaluation.在一项纵向队列研究中使用移动医疗 COVID-19 数字生物标志物测量结果的参与情况:混合方法评估。
J Med Internet Res. 2023 Jan 13;25:e40602. doi: 10.2196/40602.

本文引用的文献

1
The emerging clinical role of wearables: factors for successful implementation in healthcare.可穿戴设备在临床领域的新角色:医疗保健领域成功应用的因素
NPJ Digit Med. 2021 Mar 10;4(1):45. doi: 10.1038/s41746-021-00418-3.
2
Mobile Devices and Health.移动设备与健康
N Engl J Med. 2019 Sep 5;381(10):956-968. doi: 10.1056/NEJMra1806949.
3
Best practices for analyzing large-scale health data from wearables and smartphone apps.分析来自可穿戴设备和智能手机应用程序的大规模健康数据的最佳实践。
NPJ Digit Med. 2019 Jun 3;2:45. doi: 10.1038/s41746-019-0121-1. eCollection 2019.
4
Not all sensors are created equal: a framework for evaluating human performance measurement technologies.并非所有传感器都是一样的:一种评估人体性能测量技术的框架。
NPJ Digit Med. 2019 Feb 14;2:7. doi: 10.1038/s41746-019-0082-4. eCollection 2019.
5
Impact of remote patient monitoring on clinical outcomes: an updated meta-analysis of randomized controlled trials.远程患者监测对临床结局的影响:随机对照试验的最新荟萃分析
NPJ Digit Med. 2018 Jan 15;1:20172. doi: 10.1038/s41746-017-0002-4. eCollection 2018.
6
Wearable Sensors for Biochemical Sweat Analysis.可穿戴式生化汗液传感器
Annu Rev Anal Chem (Palo Alto Calif). 2019 Jun 12;12(1):1-22. doi: 10.1146/annurev-anchem-061318-114910. Epub 2019 Feb 20.
7
Contact-Lens Biosensors.接触镜生物传感器。
Sensors (Basel). 2018 Aug 13;18(8):2651. doi: 10.3390/s18082651.
8
OpenSim: Simulating musculoskeletal dynamics and neuromuscular control to study human and animal movement.OpenSim:模拟肌肉骨骼动力学和神经肌肉控制以研究人类和动物运动。
PLoS Comput Biol. 2018 Jul 26;14(7):e1006223. doi: 10.1371/journal.pcbi.1006223. eCollection 2018 Jul.
9
Precision Medicine: From Science To Value.精准医学:从科学到价值。
Health Aff (Millwood). 2018 May;37(5):694-701. doi: 10.1377/hlthaff.2017.1624.
10
The Effectiveness of Smartphone Apps for Lifestyle Improvement in Noncommunicable Diseases: Systematic Review and Meta-Analyses.智能手机应用程序对改善非传染性疾病生活方式的有效性:系统评价与荟萃分析。
J Med Internet Res. 2018 May 4;20(5):e162. doi: 10.2196/jmir.9751.