Exploring the Far Side of Mobile Health: Information Security and Privacy of Mobile Health Apps on iOS and Android.

Exploring the Far Side of Mobile Health: Information Security and Privacy of Mobile Health Apps on iOS and Android.
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DOI:
10.2196/mhealth.3672
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发表时间:
2015-01-19
影响因子:
5
通讯作者:
Sunyaev A
Sunyaev A
中科院分区:
医学2区
文献类型:
--
作者:
Dehling T;Gao F;Schneider S;Sunyaev A

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移动保健(移动保健)应用程序旨在提供对量身定制的保健信息技术的无缝访问,并有可能减轻全球卫生负担。然而,它们承担着信息安全和隐私的风险,因为用户需要披露私人、敏感的医疗信息来换取某些好处。由于移动健康应用程序的数量和多样性,对信息安全和隐私的影响是不明确和复杂的。本研究的目的是建立对iOS和Android上提供的移动健康应用程序的概述,特别关注通过信息安全和隐私侵犯对用户的潜在损害。我们评估了iOS和Android应用商店中“医疗”和“健康与健身”类别中可用的英文应用程序。基于从应用程序商店检索到的信息,我们建立了可用移动健康应用程序的概述,标记应用程序以使提供的信息机器可读,并将发现的应用程序聚类以识别和分组相似的应用程序。随后,根据应用程序可用信息的健康特异性、信息泄露的潜在损害、信息操纵的潜在损害、信息丢失的潜在损害以及信息对第三方的潜在价值,评估了信息安全和隐私影响。我们发现了24,405款与健康相关的应用(iOS; 21,953; Android; 2452)。81.36%(17,860/21,953)的iOS应用和76.14%(1867/2452)的Android应用没有或缺少评级,这表明只有不到四分之一的移动健康应用或多或少被广泛使用。聚类产生245个不同的集群,这些集群被整合到12个应用原型中,这些原型对信息安全和隐私侵犯的潜在损害进行了类似的评估。在集群期间,有6426个应用程序被排除在外。大多数应用程序(95.63%,17,193/17,979;of apps)至少通过信息安全和隐私侵犯造成一些潜在损害。11.67%(2098/17,979)的应用程序在潜在损害评估中得分最高。各种移动健康应用程序收集和提供关键的、敏感的、私人的医疗信息,需要特别关注移动健康应用程序的信息安全和隐私。为了促进用户的接受和信任,需要设计和采用适当的安全措施和流程,以便用户可以从无缝访问中受益,量身定制的移动健康应用程序,而不会使自己暴露于信息安全和隐私侵犯的严重后果。
Mobile health (mHealth) apps aim at providing seamless access to tailored health information technology and have the potential to alleviate global health burdens. Yet, they bear risks to information security and privacy because users need to reveal private, sensitive medical information to redeem certain benefits. Due to the plethora and diversity of available mHealth apps, implications for information security and privacy are unclear and complex. The objective of this study was to establish an overview of mHealth apps offered on iOS and Android with a special focus on potential damage to users through information security and privacy infringements. We assessed apps available in English and offered in the categories “Medical” and “Health & Fitness” in the iOS and Android App Stores. Based on the information retrievable from the app stores, we established an overview of available mHealth apps, tagged apps to make offered information machine-readable, and clustered the discovered apps to identify and group similar apps. Subsequently, information security and privacy implications were assessed based on health specificity of information available to apps, potential damage through information leaks, potential damage through information manipulation, potential damage through information loss, and potential value of information to third parties. We discovered 24,405 health-related apps (iOS; 21,953; Android; 2452). Absence or scarceness of ratings for 81.36% (17,860/21,953) of iOS and 76.14% (1867/2452) of Android apps indicates that less than a quarter of mHealth apps are in more or less widespread use. Clustering resulted in 245 distinct clusters, which were consolidated into 12 app archetypes grouping clusters with similar assessments of potential damage through information security and privacy infringements. There were 6426 apps that were excluded during clustering. The majority of apps (95.63%, 17,193/17,979; of apps) pose at least some potential damage through information security and privacy infringements. There were 11.67% (2098/17,979) of apps that scored the highest assessments of potential damages. Various kinds of mHealth apps collect and offer critical, sensitive, private medical information, calling for a special focus on information security and privacy of mHealth apps. In order to foster user acceptance and trust, appropriate security measures and processes need to be devised and employed so that users can benefit from seamlessly accessible, tailored mHealth apps without exposing themselves to the serious repercussions of information security and privacy infringements.
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发表时间: 2013-12-23
影响因子: 7.4
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影响因子: 2.4
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