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• W3211148996 abstract "This project aimed to develop an artificial intelligence (AI)–based tool for improving the consistency and efficiency of decision-making in the nursing complaints process in three jurisdictions. This article describes the tool and the overall process of its development. The AI tool was not designed to replace human judgment but rather to perform three data-driven decision support tasks: (a) an independent risk prediction of the case, (b) a comparison with previous similar cases, and (c) a cross reference to relevant parts of the regulatory standards or rules in each jurisdiction. Three nursing regulatory bodies in the United States, the United Kingdom, and Australia provided anonymized data from 5,700 cases for tool design and testing. Regulatory staff were involved in each stage of development and supported the potential role of an AI-based tool such as this in improving the efficiency and effectiveness of decision-making in disciplinary processes in nursing regulation nationally and internationally.. This project aimed to develop an artificial intelligence (AI)–based tool for improving the consistency and efficiency of decision-making in the nursing complaints process in three jurisdictions. This article describes the tool and the overall process of its development. The AI tool was not designed to replace human judgment but rather to perform three data-driven decision support tasks: (a) an independent risk prediction of the case, (b) a comparison with previous similar cases, and (c) a cross reference to relevant parts of the regulatory standards or rules in each jurisdiction. Three nursing regulatory bodies in the United States, the United Kingdom, and Australia provided anonymized data from 5,700 cases for tool design and testing. Regulatory staff were involved in each stage of development and supported the potential role of an AI-based tool such as this in improving the efficiency and effectiveness of decision-making in disciplinary processes in nursing regulation nationally and internationally.. Robert Jago, BA, M.Phil. (Cantab), is the Head of Department, Law and Criminology, Royal Holloway University of London, England. Anna van der Gaag, MSc, PhD, is a Senior Research Fellow, Royal Holloway University of London and Visiting Professor, Ethics and Regulation, University of Surrey, England. Kostas Stathis, PhD, is a Professor of Computer Science, Royal Holloway University of London. Ivan Petej, PhD, is a Research Fellow, Royal Holloway University of London. Piyawat Lertvittayakumjorn, MSc, is a Research Fellow, Royal Holloway University of London. Yamuna Krishnamurthy, MSc, is a Research Fellow, Royal Holloway University of London. Yang Gao, PhD, is a Lecturer, Department of Computer Science, Royal Holloway University of London. Juan Caceres Silva, PhD, is a Research Fellow, Royal Holloway University of London. Michelle Webster, BA, MSc, PhD, is a Lecturer, Department of Social Science, Royal Holloway University of London. Ann Gallagher, SRN, RMN, BA, MA, PhD, is a Professor of Care Education, University of Exeter, England. Zubin Austin, BScPhm, MBA, MSc, PhD, is a Professor, University of Toronto, Ontario, Canada." @default.
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• W3211148996 date "2021-10-01" @default.
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• W3211148996 title "Use of Artificial Intelligence in Regulatory Decision-Making" @default.
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