scholarly journals Radiation oncology training in Australia and New Zealand during and beyond the COVID‐19 pandemic – lessons learnt and opportunities for improvement

2021 ◽  
Author(s):  
Wee Loon Ong ◽  
Chamitha Weerasinghe
Keyword(s):  
New Zealand ◽  
Radiation Oncology ◽  
Lessons Learnt

scholarly journals A survey of clinicians on the use of artificial intelligence in ophthalmology, dermatology, radiology and radiation oncology

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jane Scheetz ◽  
Philip Rothschild ◽  
Myra McGuinness ◽  
Xavier Hadoux ◽  
H. Peter Soyer ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
New Zealand ◽  
Radiation Oncology ◽  
Online Survey ◽  
New Technology ◽  
Medical Liability ◽  
Healthcare Outcomes ◽  
Medical Workforce ◽  
Artificial Intelligence Technology ◽  
Workforce Needs

AbstractArtificial intelligence technology has advanced rapidly in recent years and has the potential to improve healthcare outcomes. However, technology uptake will be largely driven by clinicians, and there is a paucity of data regarding the attitude that clinicians have to this new technology. In June–August 2019 we conducted an online survey of fellows and trainees of three specialty colleges (ophthalmology, radiology/radiation oncology, dermatology) in Australia and New Zealand on artificial intelligence. There were 632 complete responses (n = 305, 230, and 97, respectively), equating to a response rate of 20.4%, 5.1%, and 13.2% for the above colleges, respectively. The majority (n = 449, 71.0%) believed artificial intelligence would improve their field of medicine, and that medical workforce needs would be impacted by the technology within the next decade (n = 542, 85.8%). Improved disease screening and streamlining of monotonous tasks were identified as key benefits of artificial intelligence. The divestment of healthcare to technology companies and medical liability implications were the greatest concerns. Education was identified as a priority to prepare clinicians for the implementation of artificial intelligence in healthcare. This survey highlights parallels between the perceptions of different clinician groups in Australia and New Zealand about artificial intelligence in medicine. Artificial intelligence was recognized as valuable technology that will have wide-ranging impacts on healthcare.

scholarly journals Lessons learnt from recent citizen science initiatives to document floods in France, Argentina and New Zealand

2016 ◽  
Vol 7 ◽  
pp. 16001 ◽  
Author(s):  
Jérôme Le Coz ◽  
Antoine Patalano ◽  
Daniel Collins ◽  
Nicolás Federico Guillén ◽  
Carlos Marcelo García ◽  
...  
Keyword(s):  
New Zealand ◽  
Citizen Science ◽  
Lessons Learnt

Oncology and Radiation Oncology Awareness in Final Year Medical Students in Australia and New Zealand

2019 ◽  
Vol 35 (6) ◽  
pp. 1227-1236 ◽  
Author(s):  
Benjamin D. Bravery ◽  
Kate Shi ◽  
Luke Nicholls ◽  
Revadhi Chelvarajah ◽  
Minh Thi Tieu ◽  
...  
Keyword(s):  
New Zealand ◽  
Medical Students ◽  
Radiation Oncology

Radiotherapy for node-positive prostate cancer: 2019 Recommendations of the Australian and New Zealand Radiation Oncology Genito-Urinary group

2019 ◽  
Vol 140 ◽  
pp. 68-75 ◽  
Author(s):  
Hester Lieng ◽  
Andrew Kneebone ◽  
Amy J. Hayden ◽  
David R.H. Christie ◽  
Brian J. Davis ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
New Zealand ◽  
Radiation Oncology ◽  
Node Positive

Lessons Learnt From The 2020 COVID 19 Lockdown: A Students’ Online MS Team Project

2021 ◽  
Vol 5 (1) ◽  
pp. 1-16
Author(s):  
Leigh Quadling-Miernik
Keyword(s):  
New Zealand ◽  
Significant Benefit ◽  
Learning Support ◽  
Tertiary Institution ◽  
Lessons Learnt ◽  
Future Improvement ◽  
Team Project ◽  
The Impact

This paper outlines an investigation of the impact of a programme Students Online, which was created in Microsoft (MS) Teams during New Zealand’s level 4 lockdown of March-May 2020.  Students Online was set by the Learning Hub, the learning support centre, for a large tertiary institution in response to an international student’s request, asking for a way for students to meet and practise English.  The study aimed to investigate the experiences of those who engaged with the MS Team and derive implications for possible future improvement.  Offering focused learning support as well as sessions on life in New Zealand, the most significant benefit seen was the overall sense of connection when many aspects of life were disconnected.  Other benefits highlighted by the study’s participants include improved communication between students and the Learning Hub, a “mental release” in the day, relationships being built and adding to the institute’s value of being supportive. The MS Team provided a sense of normality in a time when life was filled with abnormality. Participants were drawn from Learning Hub staff and students who interacted within the programme.  This study found that the Students Online programme was considered generally useful and successful, modifications for future such programmes are suggested.

scholarly journals Breast interest group faculty of radiation oncology: Australian and New Zealand patterns of practice survey on breast radiotherapy

2016 ◽  
Vol 61 (4) ◽  
pp. 508-516 ◽  
Author(s):  
Kimberley Nguyen ◽  
Penny Mackenzie ◽  
Angela Allen ◽  
Marcus Dreosti ◽  
Marita Morgia ◽  
...  
Keyword(s):  
New Zealand ◽  
Interest Group ◽  
Radiation Oncology ◽  
Breast Radiotherapy ◽  
Practice Survey ◽  
Patterns Of Practice
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