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Skip search results from other journals and go to results- 3 JMIR Human Factors
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Five main themes emerged: AI technology acceptance, disparities in digital transformation, technology governance, data governance, and AI for health system transformation. Descriptions of the main themes and subthemes with exemplar quotes are presented in the following subsections.
The majority of the participants recognized that to adopt AI within a health care setting, acceptance toward AI technology as a whole is needed.
J Med Internet Res 2025;27:e71591
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Data Ownership in the AI-Powered Integrative Health Care Landscape
The study sheds light on the significance of patient-centric data governance, providing insights into the legal and ethical implications and considerations for ensuring responsible and transparent AI implementation within integrative health (IH).
IHC embraces a holistic approach to wellness and centers on the interconnectedness of the mind, body, and spirit, advocating for comprehensive healing that addresses all facets of an individual’s health [1].
JMIR Med Inform 2024;12:e57754
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Ethics and Governance of Neurotechnology in Africa: Lessons From AI
Such a governance approach is needed to protect and promote human rights and fundamental freedoms. It is an approach that requires the integration of relevant values and principles that reflects the contexts within which the technology will be applied.
So far, the discussion on ethics and governance of neurotechnology has neglected narratives, values, principles, and contexts in Africa.
JMIR Neurotech 2024;3:e56665
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Barriers to and Facilitators of Artificial Intelligence Adoption in Health Care: Scoping Review
Governance was primarily noted as a key facilitating factor, playing the role of enabling the full cycle of AI. It is critical to have a governance structure in place to oversee the development and rollout of AI from conception to implementation, with governance tools providing guidance on various stages of the process. Governance should include diverse professionals with clear articulation of accountability, including nuances in reactions to accountability [35,40,55,58,64].
JMIR Hum Factors 2024;11:e48633
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Preferences on Governance Models for Mental Health Data: Qualitative Study With Young People
Adults’ views on sharing their data and data governance have been quite consistent across the studies, but we lack evidence of what young people think.
A global mental health data bank containing information about how various factors affect young people’s mental health would provide valuable resources for mental health researchers. Terms of governance acceptable to young people must be established before such a resource is developed.
JMIR Form Res 2024;8:e50368
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By providing insight into the views and interests of people representing DAPs in this particular LHS, this study intends to inform a governance framework for LHSs and, in turn, to help facilitate the development of a sustainable LHS in which public and private organizations collaborate.
JMIR Pediatr Parent 2024;7:e47092
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The increasing growth and relevance of digital tools and approaches for health [1] meant that developing European governance for digital health data has become a compelling task [2]. There are many competing initiatives (eg, public, private, and those initiated by the European Union [EU]) to facilitate cross-border data sharing.
J Med Internet Res 2023;25:e47066
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The most frequently repeated individual codes within perceived usefulness included risk, governance, and proposed solutions, whereas the most common drivers from subjective norms were people and relationships, patient confidentiality, and clinical exceptions (to rules and policies).
The top 100 most frequently occurring words mentioned by the interview participants (after excluding common or irrelevant words) are shown in Multimedia Appendix 7.
JMIR Hum Factors 2023;10:e48220
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In the United Kingdom, the application of NLP for health care text research is largely limited to within large NHS hospital trusts with academic affiliations and in-house NLP expertise owing to complex governance requirements arising from increased concerns around the potential risk of reidentifying patients.
JMIR Med Inform 2023;11:e45534
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Consequently, the need for strengthening health data governance (HDG) has arisen, as noted in pronouncements such as the Sustainable Development Goals [8] and Universal Health Coverage (UHC) [9]. The Data Governance Institute (DGI) defines data governance as “a system of decision rights and accountabilities for information-related processes, executed according to agreed-upon models which describe who can take what actions with what information, and when, under what circumstances, using what methods” [10].
JMIR Form Res 2023;7:e41408
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