Pamela Rowntree

Professor Pamela Rowntree is a Professor at the School of Clinical Sciences within the Faculty of Health at Queensland University of Technology (QUT). Her expertise spans Medical Radiation Sciences, with a focus on radiography education, imaging technologies, and clinical assessment. She holds qualifications including a Graduate Diploma in Tertiary Education and a Diploma of Applied Science (Diagnostic Radiography).

Education:

• Graduate Diploma in Education (Tertiary) - Darling Downs Institute of Advanced Education
• Diploma of Applied Science (Diagnostic Radiography) - Queensland Institute of Technology

Research Interests:

Professor Rowntree’s work emphasizes advancing radiography education, optimizing imaging accessibility in rural settings, and leveraging technology (e.g., virtual reality, telemedicine) to enhance clinical skills and healthcare delivery. Her research also addresses workforce challenges, such as radiographer well-being and cost-effective educational strategies.

Publications:

Her recent work explores trends in diagnostic imaging, virtual reality simulation in education, and improving imaging quality through clinical audits. Key themes include technology adaptation post-pandemic, rural healthcare equity, and evidence-based research culture in undergraduate programs.

Awards:

• 2018: Visiting Professor in Diagnostic Imaging, University of Derby, UK
• 2017: Fellow of the Association of Educators in Imaging and Radiologic Sciences (first Australian recipient)

Advisory & Professional Engagement:

She has supervised research on 3D radiotherapy tools and contributes to professional bodies like the Australian Society of Medical Imaging and Radiation Therapy and the International Society of Radiographers and Radiologic Technologists. Her work bridges clinical practice, education, and technological innovation.

Labs/Teams:

While specific lab affiliations are not detailed, her collaborative research aligns with QUT’s health and technology initiatives, emphasizing interdisciplinary approaches to medical imaging challenges.