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Regulatory Sandboxes: A Cure for mHealth Pilotitis?
Journal of Medical Internet Research ( IF 7.4 ) Pub Date : 2020-09-15 , DOI: 10.2196/21276 Abhishek Bhatia 1, 2 , Rahul Matthan 3, 4 , Tarun Khanna 1, 5 , Satchit Balsari 1, 2, 6
Journal of Medical Internet Research ( IF 7.4 ) Pub Date : 2020-09-15 , DOI: 10.2196/21276 Abhishek Bhatia 1, 2 , Rahul Matthan 3, 4 , Tarun Khanna 1, 5 , Satchit Balsari 1, 2, 6
Affiliation
Mobile health (mHealth) and related digital health interventions in the past decade have not always scaled globally as anticipated earlier despite large investments by governments and philanthropic foundations. The implementation of digital health tools has suffered from 2 limitations: (1) the interventions commonly ignore the “law of amplification” that states that technology is most likely to succeed when it seeks to augment and not alter human behavior; and (2) end-user needs and clinical gaps are often poorly understood while designing solutions, contributing to a substantial decrease in usage, referred to as the “law of attrition” in eHealth. The COVID-19 pandemic has addressed the first of the 2 problems—technology solutions, such as telemedicine, that were struggling to find traction are now closely aligned with health-seeking behavior. The second problem (poorly designed solutions) persists, as demonstrated by a plethora of poorly designed epidemic prediction tools and digital contact-tracing apps, which were deployed at scale, around the world, with little validation. The pandemic has accelerated the Indian state’s desire to build the nation’s digital health ecosystem. We call for the inclusion of regulatory sandboxes, as successfully done in the fintech sector, to provide a real-world testing environment for mHealth solutions before deploying them at scale.
This is the abstract only. Read the full article on the JMIR site. JMIR is the leading open access journal for eHealth and healthcare in the Internet age.
中文翻译:
监管沙箱:治疗mHealth感染性炎的方法?
尽管各国政府和慈善基金会进行了巨额投资,但过去十年来,移动医疗(mHealth)和相关的数字医疗干预措施并未始终像之前预期的那样在全球范围内推广。数字医疗工具的实施受到两个限制:(1)干预通常忽略了“放大法则”,该法则指出技术在寻求增强而不改变人类行为时最有可能获得成功;(2)在设计解决方案时,人们往往对最终用户的需求和临床差距知之甚少,从而导致使用量的大幅下降,在eHealth中被称为“损耗定律”。COVID-19大流行解决了两个问题中的第一个-努力寻找牵引力的技术解决方案(例如远程医疗)现在与寻求健康的行为紧密结合。第二个问题(设计不良的解决方案)仍然存在,如大量设计不当的流行病预测工具和数字接触跟踪应用所证明的那样,这些工具在全球范围内大规模部署且未经验证。大流行加速了印度国家建立国家数字健康生态系统的渴望。我们呼吁像在金融科技领域一样成功地纳入监管沙箱,以便在大规模部署mHealth解决方案之前为其提供真实的测试环境。大流行加速了印度国家建立国家数字健康生态系统的渴望。我们呼吁像在金融科技领域一样成功地纳入监管沙箱,以便在大规模部署mHealth解决方案之前为其提供真实的测试环境。大流行加速了印度国家建立国家数字健康生态系统的渴望。我们呼吁像在金融科技领域一样成功地纳入监管沙箱,以便在大规模部署mHealth解决方案之前为其提供真实的测试环境。
这仅仅是抽象的。阅读JMIR网站上的全文。JMIR是互联网时代电子健康和医疗保健领域领先的开放获取期刊。
更新日期:2020-09-15
This is the abstract only. Read the full article on the JMIR site. JMIR is the leading open access journal for eHealth and healthcare in the Internet age.
中文翻译:
监管沙箱:治疗mHealth感染性炎的方法?
尽管各国政府和慈善基金会进行了巨额投资,但过去十年来,移动医疗(mHealth)和相关的数字医疗干预措施并未始终像之前预期的那样在全球范围内推广。数字医疗工具的实施受到两个限制:(1)干预通常忽略了“放大法则”,该法则指出技术在寻求增强而不改变人类行为时最有可能获得成功;(2)在设计解决方案时,人们往往对最终用户的需求和临床差距知之甚少,从而导致使用量的大幅下降,在eHealth中被称为“损耗定律”。COVID-19大流行解决了两个问题中的第一个-努力寻找牵引力的技术解决方案(例如远程医疗)现在与寻求健康的行为紧密结合。第二个问题(设计不良的解决方案)仍然存在,如大量设计不当的流行病预测工具和数字接触跟踪应用所证明的那样,这些工具在全球范围内大规模部署且未经验证。大流行加速了印度国家建立国家数字健康生态系统的渴望。我们呼吁像在金融科技领域一样成功地纳入监管沙箱,以便在大规模部署mHealth解决方案之前为其提供真实的测试环境。大流行加速了印度国家建立国家数字健康生态系统的渴望。我们呼吁像在金融科技领域一样成功地纳入监管沙箱,以便在大规模部署mHealth解决方案之前为其提供真实的测试环境。大流行加速了印度国家建立国家数字健康生态系统的渴望。我们呼吁像在金融科技领域一样成功地纳入监管沙箱,以便在大规模部署mHealth解决方案之前为其提供真实的测试环境。
这仅仅是抽象的。阅读JMIR网站上的全文。JMIR是互联网时代电子健康和医疗保健领域领先的开放获取期刊。