Imagine a world where artificial intelligence is not just a convenience, but a necessity for healthcare. How do we ensure trustworthiness in AI? How do we equip everyone with the necessary skills to navigate digital health resources? These are some of the crucial questions we tackle in our engaging conversation with Jette Sørensen from Denmark. She brings to the table thought-provoking insights from the recent Australian College of Mental Health Nurses Conference, where the buzz was all about the surge of interest in digital health literacy within the mental health field.

Critical thinking and reflection are key when using AI, chatbots, or any other digital health tool, and we explore this in-depth with Jetta. We investigate the role of public health institutions in ensuring everyone can access digital health resources, and discuss the courage shown by mental health nurses as they embrace digital mental health interventions. With the anticipation of future advancements in this exciting space, we close with the question – are we ready for what the next 12 months will bring? Join us for this fascinating exploration of digital health literacy in mental health, and the promise it holds for the future.

Brown, Benhamou, May, and Berk. Machine Learning Algorithms in Suicide Prevention: Clinician Interpretations as Barriers to Implementation. The Journal of Clinical Psychiatry 2020 Vol. 81 Issue 3 DOI: https://dx.doi.org/10.4088/JCP.19m12970

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