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Exploring the cyber complexity and cyberpsychology of the internet of things and AI tools in healthcare organizations

2025·0 Zitationen·Brazilian Journal of BusinessOpen Access
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2025

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Abstract

The integration of artificial intelligence (AI) into healthcare and mental health systems through advanced into 5G communication networks offers significant promise but also profound challenges. AI models are increasingly used to manage large data flows, optimize decision-making, and enable real-time applications such as telemedicine, remote monitoring, and mental health support tools. These technologies have the potential to expand access to care, reduce resource burdens, and enhance efficiency. However, without changes to current processes of development, deployment, reliance, and oversight, they risk reinforcing inequities, eroding trust, and compromising patient safety in healthcare businesses and organizations. The risks are particularly acute in mental health, where algorithmic blind spots can misinterpret cultural expressions of distress, fail to detect crises, or create over-reliance on systems that simulate empathy without the capacity for genuine care. In healthcare delivery more broadly, AI-enabled tools can privilege certain populations, exacerbate disparities, or expose patients to data misuse in the absence of robust safeguards. These challenges highlight the urgent need for comprehensive governance frameworks, transparent reporting, strong privacy protections, and meaningful stakeholder engagement that includes clinicians, patients, policymakers, and underrepresented communities. This paper argues that AI should be viewed not as a substitute for human expertise but as an augmentative tool that supports ethical, safe, and equitable care. By embedding ethics and safety into design, deployment, and oversight processes, and by engaging diverse voices in decision-making, healthcare systems can ensure that AI strengthens rather than destabilizes therapeutic environments and contributes to the development of trustworthy, inclusive, and resilient healthcare infrastructures.

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Artificial Intelligence in Healthcare and EducationDigital Mental Health InterventionsInternet of Things and AI
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