Bridging the Digital Divide Between Education and Clinical Practice
Tracks
Track 2
Wednesday, July 23, 2025 |
11:10 AM - 11:30 AM |
Bradman Theatrette |
Overview
Presenter: Dr Dianne Stratton-Maher MACN
Speaker
Dr Dianne Stratton-Maher MACN
Senior Lecturer
University Of Southern Queensland
Bridging the Digital Divide Between Education and Clinical Practice
11:10 AM - 11:30 AMAbstract
Introduction/Purpose
As artificial intelligence (AI) and digital health technologies continue to revolutionise healthcare, it is crucial that nursing education evolves to address the growing digital literacy divide between education and clinical practice. This study aims to provide a blueprint for integrating AI and digital health competencies into nursing curricula, enhancing students' preparedness for technology-driven clinical environments. By equipping future nurses with the necessary skills in AI and digital health, this research aims to bridge this divide, supporting the overarching theme of Courage, Compassion, and Connection. It empowers nurses to thrive in an AI and digital health enhanced healthcare landscape while ensuring ethical, impactful, and equitable practices.
Method
This study is currently in progress and adopts a mixed-methods approach to explore postgraduate nursing students' readiness for AI and digital tools in clinical practice. Data is being collected through a survey assessing students' perceptions of their AI and digital health competencies. Additionally, discussions will be held with industry partners, Heads of Schools, and program directors of Bachelor of Nursing programs at universities across Australia to identify key insights on educational gaps, workforce needs, and institutional readiness.
Results
Findings from this study will inform the development of a blueprint for integrating AI and digital health competencies into nursing curricula. The blueprint will offer structured recommendations to guide curriculum innovation, ensuring it is aligned with both current healthcare trends and industry expectations.
Conclusion
This research will offer evidence-based recommendations for integrating AI and digital health into nursing curricula, bridging the gap between education and clinical practice while aligning with industry needs and national healthcare priorities. By equipping nursing graduates with future-focused skills, the study aims to enhance employability, improve patient care outcomes, and ensure the profession remains at the forefront of technological advancements, positioning Australian nursing education as a leader in digital health innovation.
As artificial intelligence (AI) and digital health technologies continue to revolutionise healthcare, it is crucial that nursing education evolves to address the growing digital literacy divide between education and clinical practice. This study aims to provide a blueprint for integrating AI and digital health competencies into nursing curricula, enhancing students' preparedness for technology-driven clinical environments. By equipping future nurses with the necessary skills in AI and digital health, this research aims to bridge this divide, supporting the overarching theme of Courage, Compassion, and Connection. It empowers nurses to thrive in an AI and digital health enhanced healthcare landscape while ensuring ethical, impactful, and equitable practices.
Method
This study is currently in progress and adopts a mixed-methods approach to explore postgraduate nursing students' readiness for AI and digital tools in clinical practice. Data is being collected through a survey assessing students' perceptions of their AI and digital health competencies. Additionally, discussions will be held with industry partners, Heads of Schools, and program directors of Bachelor of Nursing programs at universities across Australia to identify key insights on educational gaps, workforce needs, and institutional readiness.
Results
Findings from this study will inform the development of a blueprint for integrating AI and digital health competencies into nursing curricula. The blueprint will offer structured recommendations to guide curriculum innovation, ensuring it is aligned with both current healthcare trends and industry expectations.
Conclusion
This research will offer evidence-based recommendations for integrating AI and digital health into nursing curricula, bridging the gap between education and clinical practice while aligning with industry needs and national healthcare priorities. By equipping nursing graduates with future-focused skills, the study aims to enhance employability, improve patient care outcomes, and ensure the profession remains at the forefront of technological advancements, positioning Australian nursing education as a leader in digital health innovation.
Biography
Dr Dianne Stratton-Maher, is a Senior Nursing Lecturer at the University of Southern Queensland and Senior Fellow of the Higher Education Academy. With a Graduate Diploma in Education, a Master's in Advanced Clinical Education, and a PhD, Dianne is also an active committee member of the Australian Nurse Teachers Society.
