e.g. mhealth
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Skip search results from other journals and go to results- 98 Journal of Medical Internet Research
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App needs to work well
App not working
App requires redownloading
Biometric authentication
Log-in and password issues
App data security
App not working
App registration process
Backup option needed in case app fails
Cell signal issues
Concerns over alignment of app with privacy standards
Patient data privacy
Reliability of app technology
Speed of ECGc transmission
Technology failure
User log-in and password issues
Wi-Fi signal issues
App data security
App not working
Backup option needed in case app fails
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JMIR Mhealth Uhealth 2025;13:e60173
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Under the Family Educational Rights and Privacy Act, schools can legally provide identifiable student information to contractors to perform school personnel functions [18]. Large language models can analyze a large amount of student online activity (ie, emails, web searches, direct messages, or private social media browsing and posting) if school administrators give that level of access to student data to online surveillance companies.
J Med Internet Res 2025;27:e71998
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Even with limited access to local, state, and federal public health data systems, tribal public health authorities were able to carry out significant actions to protect the health of their communities during the COVID-19 pandemic and protect individuals most at risk of infection while respecting their privacy rights, pursuant to the Health Information Portability and Accountability Act (HIPAA) [6].
J Med Internet Res 2025;27:e77249
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Managerial Challenges in Digital Health: Bibliometric and Network Analysis
Cluster 1 included many papers that used the technology acceptance model (TAM), along with papers addressing information privacy (Table 5).
Top 3 papers from cluster 1 according to their degree centrality.
a Last updated on February 26, 2024.
This content analysis was strengthened by an independent keyword analysis (Table 6).
J Med Internet Res 2025;27:e57980
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We use the phrase data science broadly as encompassing interdisciplinary quantitative and qualitative approaches for managing data (eg, storage, access, and knowledge generation) that requires consideration for ethics, privacy, security, and downstream effects [4].
J Med Internet Res 2025;27:e77946
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A System Model and Requirements for Transformation to Human-Centric Digital Health
Privacy is a vague, emotional, and contextual concept with social and technical dimensions [44]. It is dynamic because people’s privacy expectations and needs vary situationally. Privacy is also one of the human rights. The UNDHR expresses that “No one shall be subject to arbitrary interference with his privacy” [35]. Autonomy and privacy are closely interconnected. According to Citron [45], without personal autonomy, there is hardly personal privacy, and privacy ensures dignity.
J Med Internet Res 2025;27:e68661
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The aim of the GDPR is to protect citizens’ privacy in the context of widespread digitization while facilitating the circulation of data. It emphasizes transparency in processing health data and enhances patients’ control over their use, which are widely regarded as positive steps. However, the recent literature underscores several challenges in applying GDPR to the reuse of health data for research.
JMIR Med Inform 2025;13:e63754
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Ethical, privacy, and regulatory constraints preclude the transfer of PHI across the public domain through widely used proprietary LLM services (eg, Chat GPT, Gemini, and Claude) that can generate automated responses for MQA. However, significant health care resources (ie, utilization fees and institutional agreements) would be required to ensure the protection of PHI while accessing the largest state-of-the-art models such as GPT4 via a private cloud service provider (eg, Microsoft Azure Open AI).
JMIR Form Res 2025;9:e64544
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Legal, relational, and technical barriers can impede access to the data that enable public health agencies to act for the benefit of their communities. [1-3] Most of these barriers are at least indirectly associated with a need to protect the privacy of data subjects.
Public health data custodians are acutely aware of these risks, but sometimes zealous overprotection of individuals’ privacy can harm communities [4].
J Med Internet Res 2025;27:e70983
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As these large datasets or “big data” grow in scope, they also become more susceptible and vulnerable to privacy risks (eg, data breaches, privacy violations, and unauthorized access) that can cause undue harm to participants, organizations, and society [5].
JMIR Mhealth Uhealth 2025;13:e65747
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