This session is designed for health professionals seeking to strengthen ethical judgement, patient-centred decision-making and responsible AI integration in healthcare delivery.

The challenge

AI technologies are rapidly entering clinical environments, introducing both opportunity and risk. Health practitioners are increasingly required to navigate ethical, professional and patient safety considerations. Common challenges include:

Maintaining professional judgement in AI-assisted clinical environments
Understanding accountability for AI-supported decisions
Managing patient safety risks associated with AI technologies
Balancing efficiency with human-centred care
Navigating evolving professional obligations relating to AI adoption

Our approach

Grounded in psychology, ethics and healthcare leadership, this session focuses on responsible AI integration while protecting patient trust, professional accountability and clinical judgement.

What you’ll explore

Ethical considerations in AI-assisted healthcare delivery
Professional accountability and cognitive oversight
Patient safety implications of AI-assisted clinical decisions
Human-centred frameworks for responsible AI adoption
Practical strategies for maintaining professional judgement and trust

Who this is for

Health practitioners, allied health professionals, clinical leaders and healthcare teams navigating AI adoption within healthcare environments.

No technical AI background required. This is a professional judgement and ethical capability-focused session.

CPD eligibility

Every Limestone Group health program is structured to support AHPRA CPD requirements, including evidence of identified learning needs, learning objectives and documented reflection. Programs are designed to strengthen the professional and psychological capabilities that shape effective healthcare practice, including communication, leadership, ethical decision-making and wellbeing.

A certificate of completion is provided for your CPD portfolio and AHPRA audit record.

Contact the host of AI in Clinical Practice