AI in healthcare is programmed to identify patterns in vast data sets. Utilising these patterns, AI can offer recommendations, suggest diagnoses, or take initiatives. It has the potential to learn continuously, enhancing its efficiency in various tasks. Internationally, most consumers recognise AI's value in healthcare, especially when it enhances patient outcomes. Benefits might include more accurate diagnoses and treatment recommendations, or improved access to care. However, consumer acceptance is contingent on addressing their concerns about AI's implications.

A fundamental expectation is that AI tools should perform effectively. The consensus is that AI should match or surpass human capability in its designated tasks. AI's usage is discouraged if it increases the likelihood of incorrect diagnoses or medical errors.

A significant concern is accountability for decisions made by AI, such as diagnoses or treatment plans, especially when made without human oversight. Generally, there is a preference for clinicians to maintain ultimate responsibility for decisions and patient safety.

There are concerns AI might diminish the human aspect of healthcare. Consumers emphasise that AI should assist, not replace, health practitioners. This is due to the perception that AI lacks crucial human traits like empathy. The communication, care, and touch of a healthcare professional are deemed vital, particularly when patients feel vulnerable. Practitioners are ultimately responsible for the final output (e.g., diagnoses, treatment plans).

There is a value placed on the expertise of human clinicians. Overreliance on AI tools could potentially erode this invaluable expertise.

The Australian healthcare system must consider not only AI's technical aspects but also social and ethical implications. Engaging with consumers and psychologists is crucial to guide the application of AI in mental health care, ensuring it aligns with MedReport's ethos and the broader healthcare community's needs.