AI-Driven Decision-Making in Workplace Safety: Enhancing Risk Assessment and Compliance in Healthcare Settings

Abstract

Artificial intelligence (AI) is significantly transforming healthcare by introducing advanced methodologies that enhance workplace safety, risk assessment, and regulatory compliance. This study argues that the integration of AI-driven risk assessment and compliance processes into healthcare quality management systems critically depends on adherence to fundamental ethical principles, including transparency, equity, and accountability. Focusing on the context of Aotearoa New Zealand, the research investigates how AI can optimise clinical workflows, reduce the workload of healthcare professionals, and support patient-centred care, while maintaining cultural safety and equity standards.

The analysis identifies governance challenges and highlights the need for adaptable, culturally inclusive frameworks that engage diverse stakeholders. Practical applications, such as the automation of routine tasks and integration within quality assurance systems, are examined, alongside important aspects of trustworthiness, data validity, ethical oversight, and continuous collaborative governance.

Guided by the research question, how can AI-enabled risk assessment and compliance systems be ethically and effectively integrated into healthcare quality management frameworks in Aotearoa New Zealand? This study employs a rapid review methodology that synthesises current literature and standards, such as ISO 7101:2023. The findings emphasise that embedding AI technologies requires a robust commitment to ethical governance and cultural responsiveness to achieve enhanced operational effectiveness and workforce confidence. The paper concludes by proposing governance models that foster innovation while ensuring equitable and culturally safe healthcare workplaces. Furthermore, recommendations such as implementing robust auditing, fostering Indigenous partnerships, and enhancing research investment have been proposed to improve New Zealand’s healthcare and AI sectors.