Are "tomorrow's doctors" honest? Questionnaire study exploring medical students' attitudes and reported behaviour on academic misconduct.
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ABSTRACT:
SUBMITTER: Rennie SC
PROVIDER: S-EPMC26580 | biostudies-literature | 2001 Feb
REPOSITORIES: biostudies-literature
Publications
Are "tomorrow's doctors" honest? Questionnaire study exploring medical students' attitudes and reported behaviour on academic misconduct.
BMJ (Clinical research ed.) 20010201 7281
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Project description:BackgroundSimilar to understanding how blood pressure is measured by a sphygmomanometer, physicians will soon have to understand how an artificial intelligence-based application has come to the conclusion that a patient has hypertension, diabetes, or cancer. Although there are an increasing number of use cases where artificial intelligence is or can be applied to improve medical outcomes, the extent to which medical doctors and students are ready to work and leverage this paradigm is unclear.ObjectiveThis research aims to capture medical students' and doctors' level of familiarity toward artificial intelligence in medicine as well as their challenges, barriers, and potential risks linked to the democratization of this new paradigm.MethodsA web-based questionnaire comprising five dimensions-demographics, concepts and definitions, training and education, implementation, and risks-was systematically designed from a literature search. It was completed by 207 participants in total, of which 105 (50.7%) medical doctors and 102 (49.3%) medical students trained in all continents, with most of them in Europe, the Middle East, Asia, and North America.ResultsThe results revealed no significant difference in the familiarity of artificial intelligence between medical doctors and students (P=.91), except that medical students perceived artificial intelligence in medicine to lead to higher risks for patients and the field of medicine in general (P<.001). We also identified a rather low level of familiarity with artificial intelligence (medical students=2.11/5; medical doctors=2.06/5) as well as a low attendance to education or training. Only 2.9% (3/105) of medical doctors attended a course on artificial intelligence within the previous year, compared with 9.8% (10/102) of medical students. The complexity of the field of medicine was considered one of the biggest challenges (medical doctors=3.5/5; medical students=3.8/5), whereas the reduction of physicians' skills was the most important risk (medical doctors=3.3; medical students=3.6; P=.03).ConclusionsThe question is not whether artificial intelligence will be used in medicine, but when it will become a standard practice for optimizing health care. The low level of familiarity with artificial intelligence identified in this study calls for the implementation of specific education and training in medical schools and hospitals to ensure that medical professionals can leverage this new paradigm and improve health outcomes.
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Project description:Backgroundstudies have sought to identify the possible determinants of medical students' and doctors' attitudes towards older patients by examining relationships with a variety of factors: demographic, educational/training, exposure to older people, personality/cognitive and job/career factors. This review collates and synthesises these findings.Methodsan electronic search of 10 databases was performed (ABI/Inform, ASSIA, British Nursing Index, CINAHL, Informa Health, Medline, PsycINFO, Science Direct, Scopus, and Web of Science) through to 7 February 2017.Resultsthe main search identified 2,332 articles; 37 studies met the eligibility criteria set. All included studies analysed self-reported attitudes based on correlational analyses or difference testing, therefore causation could not be determined. However, self-reported positive attitudes towards older patients were related to: (i) intrinsic motivation for studying medicine, (ii) increased preference for working with older patients and (iii) good previous relationships with older people. Additionally, more positive attitudes were also reported in those with higher knowledge scores but these may relate to the use of a knowledge assessment which is an indirect measure of attitudes (i.e. Palmore's Facts on Aging Quizzes). Four out of the five high quality studies included in this review reported more positive attitudes in females compared to males.Conclusionthis article identifies factors associated with medical students' and doctors' positive attitudes towards older patients. Future research could bring greater clarity to the relationship between knowledge and attitudes by using a knowledge measure which is distinct from attitudes and also measures knowledge that is relevant to clinical care.
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