Radiation Oncology research grants awarded by the Royal Australian and New Zealand College of Radiologists: Value for money?

2016 ◽  
Vol 61 (3) ◽  
pp. 418-423 ◽  
Author(s):  
Daniel E Roos ◽  
Joshua K Kartika ◽  
Marcus Q Hu
Author(s):  
Yassar Alamri ◽  
Khalid Alsahli ◽  
Danus Ravindran

Introduction: Previous research has projected future shortages in radiation oncologistsin Australia. Anecdotal evidence also suggests a similar pattern in New Zealand, howevershortages in the radiology workforce have not been forecast to date. The present study aimed to examine the trends in applications for radiation oncology and radiology positions in New Zealand.Methods: Data were collected on vocational training applicants and senior medical officer (SMO, consultant) positions from 2009 to 2016. Data were obtained from publicly-available data on the New Zealand Ministry of Health and Royal Australian and New Zealand College of Radiologists (RANZCR) websites.Results: Compared with radiation oncology, applications to radiology significantly outnumbered the available positions—a trend that escalated between 2009 and 2016. In addition, the radiation oncology SMO workforce in New Zealand attracted progressively fewer local graduates (i.e., more international medical graduates) compared with radiology over the period studied.Conclusions: This is the first study to shed light on trends in applications to the two specialties overseen by RANZCR in New Zealand. Future efforts should focus on attracting more trainees to radiation oncology and addressing factors underlying the apparent discrepancies between the two specialties, as well as the mental health and wellbeing of trainees.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jane Scheetz ◽  
Philip Rothschild ◽  
Myra McGuinness ◽  
Xavier Hadoux ◽  
H. Peter Soyer ◽  
...  

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.


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