DETERMINANTS OF ARTIFICIAL INTELLIGENCE-BASED CLINICAL DECISION SUPPORT SYSTEMS ADOPTION AMONG MENTAL HEALTH PROFESSIONALS: THE ROLES OF EMPATHY, ACCOUNTABILITY AND TRUST
This article shows how the Technology Acceptance Model and Technology Trust are combined in the Unified Theory of Acceptance and Use of Technology (UTAUT) and how the Perceived Empathy Model (PEM) and Perceived Clarity of Accountability Model (PCA) are extensions of these models.
Public perceptions of automated decision-making in healthcare are shaped by technological familiarity, use of conversational agents, and confidence in human oversight, which is driven more by trust in healthcare professionals than by trust in the technology itself.
Leonie Westerbeek, Ernesto de León, J. V. van Weert· arXiv.org· 0 citations
A list of eight best practices was created to assist developers with designing AI systems in a way that would reduce the overall risk of harm for users attempting to use their AI for mental health cases.
Joshua Frankenfield, Briana M. Sobel, Barbara Chaparro· Proceedings of the Internati...· 0 citations
This study offers empirical evidence and a roadmap for transforming enthusiasm into sustainable, safe, and meaningful AI integration, and may support healthcare leaders and policymakers in developing strategies for safe and sustainable AI integration within the Saudi healthcare system.
Yara Alrashed, N. Alsaheil· Frontiers in Health Services· 0 citations
This study demonstrates that extending the Technology Acceptance Model by incorporating nurses' knowledge and attitudes provides a meaningful framework for predicting AI adoption in resource-limited healthcare settings.
S. Sohrabi, Hossein Bonakchi, Rahman Kazemi· BMC Nursing· 0 citations
In this modest, single-centre sample, AI adoption was independently associated with knowledge and trust, and legal concern was independently and negatively associated with usage intensity; the apparent dampening of the knowledge–usage relationship by legal concern was suggestive but not statistically confirmed.
Carla Aurelia Stoiacovici, A. Ilie, Felicia Marc et al.· Healthcare· 0 citations
Sustainable implementation in AI-based telemedicine is a multilevel social psychological process that requires transparent design, privacy assurance, bias governance, and clear alignment between AI systems and clinical roles.
Alexander Sitepu, Maharani Laillyza Apriasari, Alvi Yasmina et al.· Lentera Negeri· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
