scholarly journals Workforce Needs for Biological Informatics

BioScience ◽  
2015 ◽  
Vol 65 (10) ◽  
pp. 951-951
Author(s):  
Timothy M. Beardsley
BioScience ◽  
2018 ◽  
Author(s):  
Timothy M Beardsley ◽  
Robert E Gropp ◽  
James M Verdier

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.


2022 ◽  
pp. 019459982110695
Author(s):  
Robert H. Miller ◽  
Richard K. Gurgel ◽  
Hilary C. McCrary

Objective Prior literature has indicated that the number of trained otolaryngologists required to meet the need of our growing population may be insufficient. Therefore, identifying trends in the subspecialty composition of future otolaryngology practices will elucidate workforce needs. Study Design One-page anonymous questionnaire. Setting The survey was completed by examinees at the conclusion of their American Board of Otolaryngology–Head and Neck Surgery oral examination from 2011 to 2019. Methods Data included age, gender, fellowship, practice type, and ideal future practice components. Results A total of 2286 examinees were included: 58.1% were male and 57.2% completed a fellowship. Ideal practice specialties included general otolaryngology (19%), rhinology (15%), head and neck (13%), and pediatrics (11%). General and pediatric otolaryngology had a negative correlation over time ( r = −0.81, P = .01, and r = −0.75, P = .03, respectively). An overall 45% of graduates reported 1 ideal practice area ( r = 0.61, P = .10), with a statistically significant decline in the number of ideal practice areas over time ( r = −0.79, P = .018). Men more commonly reported allergy, head and neck, otology, rhinology, and sleep medicine as part of their ideal practice ( P < .05), while women more commonly reported pediatric otolaryngology ( P < .05). There was a higher mean number of ideal practice areas among men than women (2.58 vs 2.1, P < .001). Conclusion There is a growing trend for more specialized otolaryngology practices. The data demonstrate a decline in considering general and pediatrics otolaryngology as part of practices, which portends a gap in access to comprehensive otolaryngology in the future.


2012 ◽  
Vol 4 (3) ◽  
pp. 293-295 ◽  
Author(s):  
Donald E. Girard ◽  
Patrick Brunett ◽  
Andrea Cedfeldt ◽  
Elizabeth A. Bower ◽  
Christine Flores ◽  
...  

Abstract We explore the history behind the current structure of graduate medical education funding and the problems with continuing along the current funding path. We then offer suggestions for change that could potentially manage this health care spill. Some of these changes include attracting more students into primary care, aligning federal graduate medical education spending with future workforce needs, and training physicians with skills they will require to practice in systems of the future.


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