2023
DOI: 10.1111/inm.13121
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Artificial intelligence: An eye cast towards the mental health nursing horizon

Abstract: Mental health nursing researchers are fundamentally interested in the improved future of the mental healthcare of people with mental health conditions. Generally, their research investigates past and present phenomena, advances evidence, forecasts predictions, and proposes recommendations suitable for the preparation of the mental health nursing workforce to support people with mental health conditions in the future. During the COVID-19

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Cited by 15 publications
(15 citation statements)
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“…Mental health nursing professionals are expanding their familiarity with technological terminologies in tandem with the rapid growth of digital health integration within some mental health settings. One example of note is the emergence of conversational Artificial Intelligence (AI) therapeutic chatbots to address the global mental health burden (Wilson et al, 2023). Chatbot users are becoming more proficient in navigating chatbot logic, leading to their efficient access to helpful information derived from training data (Karahanoğlu & Bakırlıoğlu, 2022).…”
Section: Figurementioning
confidence: 99%
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“…Mental health nursing professionals are expanding their familiarity with technological terminologies in tandem with the rapid growth of digital health integration within some mental health settings. One example of note is the emergence of conversational Artificial Intelligence (AI) therapeutic chatbots to address the global mental health burden (Wilson et al, 2023). Chatbot users are becoming more proficient in navigating chatbot logic, leading to their efficient access to helpful information derived from training data (Karahanoğlu & Bakırlıoğlu, 2022).…”
Section: Figurementioning
confidence: 99%
“…Users seeking mental health assistance desire emotionally intelligent engagement, such as being heard and understood. Adjustments to decoding processes can address repetitive responses but can also lead to more potentially harmful outputs (Wilson et al, 2023).…”
Section: Figurementioning
confidence: 99%
“…Many mental health nursing services can be delivered in a range of modes: face‐to‐face, virtually and/or a hybrid mixed‐mode format with the integration of video, audio, and text‐based communication. As mental health nurses, we must ensure that our perspectives as technology end‐users are not omitted from the ad hoc training and discussions surrounding AI and social media implementation in our settings, because our advocacy (or lack of) can positively and/or negatively impact the quality of life for mental health service users (Wilson et al, 2023). As always, the wellbeing and safety of our service users must be our priority.…”
Section: End‐users and Service Usersmentioning
confidence: 99%
“…In today's digital age, social media is an integral part of our lives. Even if we are not aware of it, our mobile phones listen to us and track our online activity, frequently resulting in unsolicited tailored advertisements and offers aligned to our interests (Wilson et al, 2023). Social media platforms such as Facebook and Twitter have been around for nearly two decades, while the rise of wearable technology and the Internet of Things has enabled our devices to be more integrated and convenient to use (Higgins et al, 2023a).…”
Section: T Ec H Nology Con T I N U E S To T R a Nsfor Mmentioning
confidence: 99%
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