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Reinventing the evaluation wheel: COGwheel's co-designed digital innovation using the Qualtrics heat map.
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Centre for Mental Health Research, The Australian National University, Canberra, Australia.
The involvement of service-users, clinicians, and other health service end-users is recognised as an essential part of health and medical research. This collaborative approach can significantly contribute to methodological advancements including the development of research instruments and measures that ensure their suitability for research participants. The current paper details the co-design, development and implementation of the novel, digitised COGwheel (Co-designed Outcomes for Guests Evaluation Wheel).
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Frontier AI developers need an internal audit function.
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Centre for the Governance of AI, Oxford, UK.
This article argues that frontier artificial intelligence (AI) developers need an internal audit function. First, it describes the role of internal audit in corporate governance: internal audit evaluates the adequacy and effectiveness of a company's risk management, control, and governance processes. It is organizationally independent from senior management and reports directly to the board of directors, typically its audit committee.
View Article and Find Full Text PDFEnabling pupils to flourish: six evidence-based principles of whole-school wellbeing promotion.
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School of Education, University of Southampton, Southampton, United Kingdom.
Schools have become increasingly important as health promotion settings, seeking to improve pupils' health and wellbeing through adopting a whole-school approach. A strong evidence-base highlights that focusing on the social, emotional and psychological aspects of pupils' wellbeing enables them to flourish, enjoy life and be better equipped to overcome challenges. However, it is acknowledged that further evidence is required regarding: (1) what happens in primary schools, (2) the impact of the English education system, (3) complexity and context, and (4) capturing children's voices.
View Article and Find Full Text PDFEvaluating Artificial Intelligence in Clinical Settings-Let Us Not Reinvent the Wheel.
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Institute of Medical Informatics, Private University for Health Sciences and Health Technology, UMIT TIROL, Hall in Tirol, Austria.
Given the requirement to minimize the risks and maximize the benefits of technology applications in health care provision, there is an urgent need to incorporate theory-informed health IT (HIT) evaluation frameworks into existing and emerging guidelines for the evaluation of artificial intelligence (AI). Such frameworks can help developers, implementers, and strategic decision makers to build on experience and the existing empirical evidence base. We provide a pragmatic conceptual overview of selected concrete examples of how existing theory-informed HIT evaluation frameworks may be used to inform the safe development and implementation of AI in health care settings.
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