e.g. mhealth
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Skip search results from other journals and go to results- 11 Journal of Medical Internet Research
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In solving these challenges, Carrot brings reproducibility and transparency to the OMOP data curation process to assist datasets in meeting the increasing FAIR requirements.
The Carrot tools were developed using the Scrum Agile methodology [15] to deliver minimum viable products of each component followed by iterative development to expand the functionality over time. The team consisted of data engineers, OMOP experts, research software engineers, clinical academics, and patient and public representatives.
JMIR Res Protoc 2025;14:e60917
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A growing body of research highlights the benefits of explanations in enabling transparency and informed decision-making [28-30]. This focus on explanations is increasingly being applied in high-risk domains, such as health care [31] and job search [32], to support users in navigating complex recommendations. However, as recently highlighted by Musto et al [24], the use of personalized explanations in real-world food recommender systems remains underexplored.
JMIR Mhealth Uhealth 2025;13:e51271
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In the coding process, transparency emerged as an important antecedent to several trust referents for HCPs. This is in line with previous literature that identified transparency as an antecedent to trust, as information shared in this way indicates the ability, benevolence, and integrity of a truster [75,76]. The definition by Schnackenberg and Tomlinson [71] is widely accepted and defines transparency as “the perceived quality of intentionally shared information from a sender.”
JMIR Form Res 2025;9:e54777
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Given increasing bot sophistication, an evolving technological landscape, and ongoing challenges, however, no gold standard approach yet exists, and researchers continue to call for increased discussion and transparency in reporting on real-world experiences, best practice recommendations, and lessons learned in preventing and managing suspicious and fraudulent submissions [1,7,9,10,14-17].
JMIR Public Health Surveill 2024;10:e51786
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Data Ownership in the AI-Powered Integrative Health Care Landscape
In health care, blockchain could enhance transparency, accountability, and data sharing, reducing the risk of breaches and other security incidents [70]. However, concerns persist about the scalability and reliability of blockchain technology, mainly when applied to manage large amounts of health care data within the interdisciplinary collaboration inherent in IHC.
JMIR Med Inform 2024;12:e57754
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Benefits and Risks of AI in Health Care: Narrative Review
This narrative review aims to assess the benefits and risks associated with the integration of AI into health care, with a primary focus on potential biases, transparency issues, data privacy concerns, and safety risks. A literature review was conducted to explore the current landscape of AI applications in health care and to identify relevant ethical, regulatory, and safety considerations.
Interact J Med Res 2024;13:e53616
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We cross-compared total empathy toward AI-written stories in H-CR and H-CR+T (mean 3.62, SD 0.86), allowing us to assess how transparency about a story being written by Chat GPT shifts empathy.
JMIR Ment Health 2024;11:e62679
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These three questions are meticulously designed to advance the principles of transparency and autonomy, which are essential for fostering critical thinking, especially in the context of interacting with AI systems [44,45]. Critical thinking is one of the most important capacities for promoting human freedom and agency [46,47].
JMIR Ment Health 2024;11:e54781
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Comparing Attitudes Toward Different Consent Mediums: Semistructured Qualitative Study
This has a pivotal role in the digital health data sharing space to give more effective transparency to participants who are deciding whether to share sensitive data. Our results can be leveraged by designers of digital consent experiences for more efficient multimedia use.
The European data strategy [21,22] aims to create a single market for data to allow for the free flow of data to benefit businesses, research, and public administrations within the EU.
JMIR Hum Factors 2024;11:e53113
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