e.g. mhealth
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However, there is concern about privacy leakage due to the individual granularity of synthetic datasets [18-20]. Hence, there is a growing demand to explicitly assess privacy using quantitative metrics [11,21].
The field of virtual RCTs originally aimed to simulate the effect of new treatments with individual-level modeling [22].
J Med Internet Res 2025;27:e71297
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In this sense, it is important to mention differential privacy (DP), which is a technique that ensures the privacy of individuals by adding random noise to the data, making it nearly impossible to determine whether any individual’s data is included in a dataset or not.
JMIR Med Inform 2025;13:e74116
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Critical to understanding mechanisms driving willingness to share various data streams are concerns about data privacy, security, and control over generated data [3, 5]Once the data are collected, different members of a research team, often across different institutions, work with deidentified versions of the datasets. In some cases, data are stored indefinitely for algorithm development—seeking new purposes or uses for the data that were not originally considered.
JMIR Form Res 2025;9:e64082
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Physician Use of Large Language Models: A Quantitative Study Based on Large-Scale Query-Level Data
This allowed us to assess the risks of privacy breaches and identify specific instances where breaches may occur.
We obtained permission from the Xiamen Moniu Investment Company to use their dataset for our secondary data analysis. At the time of data collection, the company obtained informed consent from all participants, and all records were subsequently anonymized to safeguard privacy and confidentiality. Participants received complimentary access to the Gen AI tool as compensation.
J Med Internet Res 2025;27:e76941
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Concerns regarding privacy, data breaches, and trust in data-handling entities play crucial roles for end users in shaping their comfort levels [14,15].
Data sharing in health care has been investigated through several studies [16-19]. However, as technology continues to evolve and play a more dominant role in society, it is reasonable to expect attitudes to change.
J Med Internet Res 2025;27:e67414
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The selection process was facilitated through nominations from the hospital’s chief privacy officer to ensure the inclusion of individuals with relevant expertise and diverse perspectives. The criteria for participant selection included the following.
IT professionals, cybersecurity managers, and policy makers responsible for BYOD decision-making, such as developing or implementing BYOD security strategies.
JMIR Hum Factors 2025;12:e71912
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Indeed, several privacy attacks [6,7] have been proposed to exploit common statistical analysis results and disclose private information. To mitigate these attacks, differential privacy (DP) can be used in combination with FA to provide stronger privacy guarantees. DP [8,9] is a method for computing statistical analyses on a sensitive dataset in such a way that the results do not compromise the privacy of the initial raw data.
JMIR Med Inform 2025;13:e59685
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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
Cell
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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